{
  "@context": "https://resources.data.gov/dcat-us/context/3.0.0",
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  "conformsTo": {
    "@type": "Standard",
    "title": "DCAT-US 3.0",
    "identifier": "https://resources.data.gov/resources/dcat-us3/"
  },
  "title": "HHS Data Inventory",
  "description": "The U.S. Department of Health and Human Services (HHS) publishes the HHS Data Inventory—a comprehensive metadata catalog of public and non-public data assets across the Department—in accordance with the Foundations for Evidence-Based Policymaking Act of 2018 (Evidence Act, Pub. L. 115-435). This inventory enhances information discovery, data usability, and government transparency by providing public visibility into data assets from all HHS Divisions. When more people access and use the data, we have more collective ability to identify gaps, errors, or other problems with this HHS metadata. Your feedback and suggestions will help HHS to expeditiously improve metadata quality and underlying data that matters most to you, and HHS commits to continuous improvements to information quality.",
  "publisher": {
    "@type": "Organization",
    "name": "U.S. Department of Health and Human Services (HHS)"
  },
  "issued": "2026-09-27",
  "homepage": {
    "@type": "Document",
    "title": "HHS Data Inventory",
    "accessURL": "https://tech.hhs.gov/data.json"
  },
  "language": [
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  ],
  "modified": "2026-09-27",
  "rights": [
    "This catalog is maintained by Health and Human Services (HHS) Office of the Chief Data Officer (OCDO)."
  ],
  "dataset": [
    {
      "@type": "Dataset",
      "identifier": "hhs-data-inventory",
      "title": "HHS Data Inventory",
      "description": "The U.S. Department of Health and Human Services (HHS) publishes the HHS Data Inventory—a comprehensive metadata catalog of public and non-public data assets across the Department—in accordance with the Foundations for Evidence-Based Policymaking Act of 2018 (Evidence Act, Pub. L. 115-435). This inventory enhances information discovery, data usability, and government transparency by providing public visibility into data assets from all HHS Divisions. When more people access and use the data, we have more collective ability to identify gaps, errors, or other problems with this HHS metadata. Your feedback and suggestions will help HHS to expeditiously improve metadata quality and underlying data that matters most to you, and HHS commits to continuous improvements to information quality.",
      "contactPoint": [
        {
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          "fn": "HHS Office of the Chief Data Officer (OCDO)",
          "hasEmail": "mailto:CDO@hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "U.S. Department of Health and Human Services (HHS)"
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
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      ],
      "keyword": [
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      ],
      "landingPage": {
        "@type": "Document",
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      "distribution": [
        {
          "@type": "Distribution",
          "title": "HHS Data Inventory",
          "accessURL": "https://tech.hhs.gov/data.json"
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0000-FDA-CDER-PB-I-202608",
      "title": "FDA Adverse Events Reporting System (FAERS) Dashboard Data",
      "description": "The FAERS public dashboard is a new, user-friendly and interactive web-based tool that was created to give the public the ability to query the FDA FAERS database and improve transparency. The data presented in the FAERS public dashboard has several key limitations. The existence of adverse event reports for a drug or biologic in FAERS does not mean that the drug or biologic caused the adverse event. Importantly, the FAERS data is not an indicator of the safety profile of the drug or biologic.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
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        "name": "Center for Drug Evaluation and Research (CDER)",
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      },
      "accessRights": "public",
      "theme": [
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          "@type": "Concept",
          "prefLabel": "Drugs"
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      ],
      "keyword": [
        "Adverse Events/ Prescription Drugs/ Generic Drugs"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FDA Adverse Events Reporting System (FAERS) Dashboard Data",
          "accessURL": "https://fis.fda.gov/sense/app/95239e26-e0be-42d9-a960-9a5f7f1c25ee/sheet/7a47a261-d58b-4203-a8aa-6d3021737452/state/analysis"
        },
        {
          "@type": "Distribution",
          "title": "FDA Data Dashboard API",
          "accessService": [
            {
              "@type": "DataService",
              "title": "FDA Data Dashboard API",
              "endpointURL": [
                "https://datadashboard.fda.gov/oii/api/index.htm"
              ],
              "endpointDescription": [
                "FDA Dashboards - Data Dashboard API Usage Documentation"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "open FDA",
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                "name": "FDA"
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            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0001-FDA-CDER-PB-I-202608",
      "title": "FDA Adverse Events Reporting System (FAERS) Dataset",
      "description": "The FAERS public dashboard is a new, user-friendly and interactive web-based tool that was created to give the public the ability to query the FDA FAERS database and improve transparency. The data presented in the FAERS public dashboard has several key limitations. The existence of adverse event reports for a drug or biologic in FAERS does not mean that the drug or biologic caused the adverse event. Importantly, the FAERS data is not an indicator of the safety profile of the drug or biologic.",
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        ]
      },
      "accessRights": "public",
      "theme": [
        {
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          "prefLabel": "Drugs"
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      ],
      "keyword": [
        "Adverse Events/ Prescription Drugs/ Generic Drugs"
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      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Drugevent API",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "Drugevent API",
              "endpointURL": [
                "https://api.fda.gov/drug/event"
              ],
              "endpointDescription": [
                "https://api.fda.gov/drug/event.json"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
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                "@type": "Organization",
                "name": "FDA"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0002-FDA-OC-PB-I-202608",
      "title": "Advisory Committees Dashboard",
      "description": "Each FDA-TRACK program area collects, analyzes, and reports its performance measures and results on the progress Advisory Committees are making towards their goals.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Food and Drug Administration (FDA)",
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          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Advisory/ Committee"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Advisory Committees Dashboard",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-advisory-committees-dashboard",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0003-FDA-CVETR-PB-I-202608",
      "title": "Center for Veterinary Medicine - Animal Food Safety",
      "description": "Ensuring that the food people and animals eat is safe and protected from contamination is an essential element of promoting human and animal health. Through the Food Safety Modernization Act, FDA has the mandate and authority to construct a modern integrated food safety system that protects food from farm to table, establishes shared responsibility for food safety among all participants, and strengthens accountability for prevention of foodborne illness, domestically and internationally. Each FDA-TRACK program area collects, analyzes, and reports its performance measures and results. Explores the progress CVM is making towards its Animal Food Safety strategic initiatives.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Veterinary Medicine (CVM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Veterinary/Food"
        }
      ],
      "keyword": [
        "Animal Food/ Inspect/ Recall"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Center for Veterinary Medicine - Animal Food Safety",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-veterinary-medicine-animal-food-safety",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "Animal & Veterinary events API",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "Animal & Veterinary events API",
              "endpointURL": [
                "https://api.fda.gov/animalandveterinary/event"
              ],
              "endpointDescription": [
                "https://api.fda.gov/animalandveterinary/event.json"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "open FDA",
                  "hasEmail": "mailto:open@fda.hhs.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "FDA"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0004-FDA-CVETR-PB-I-202608",
      "title": "Progress on FDA’s Support of Antimicrobial Stewardship in Veterinary Settings",
      "description": "For more than 60 years, antimicrobial drugs have been widely used to effectively fight bacterial infections in humans and animals. When bacteria develop resistance to an antimicrobial drug, that drug may be less effective in fighting infections caused by those bacteria. Using antimicrobial drugs in humans and in animals can contribute to the emergence of antimicrobial resistance in bacteria, thereby reducing the effectiveness of antimicrobial drugs for treating human disease. The U.S. Food and Drug Administration’s (FDA) Center for Veterinary Medicine (CVM) has developed a multi-pronged, multi-year strategy designed to slow the emergence of resistance arising from the use of antibiotics in animals, while continuing to ensure the availability of safe and effective antibiotics for use in animals and humans. Supporting Antimicrobial Stewardship in Veterinary Settings: Goals for FYs 2019 - 2023 serves as CVM’s action plan for guiding its activities over the next five years to combat antimicrobial resistance and help preserve the effectiveness of medically important antimicrobial drugs.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Veterinary Medicine (CVM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Veterinary/Drugs"
        }
      ],
      "keyword": [
        "Animal/ Veterinary/ antimocrobial"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Progress on FDA’s Support of Antimicrobial Stewardship in Veterinary Settings",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-progress-fdas-support-antimicrobial-stewardship-veterinary-settings",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0005-FDA-CVETR-PB-I-202608",
      "title": "Animal Drug User Fee Act Animal Drug Applications and Supplements",
      "description": "Animal Drug User Fee Act (ADUFA) Applications and supplements current performance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Veterinary Medicine (CVM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Veterinary/Drugs"
        }
      ],
      "keyword": [
        "Animal/ Veterinary/ Drug Application"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Animal Drug User Fee Act Animal Drug Applications and Supplements",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-animal-drug-user-fee-act-animal-drug-applications-and-supplements",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0006-FDA-CVETR-PB-I-202608",
      "title": "Animal Drug User Fee Act Performance - Investigational New Animal Drug (INAD) H Submissions Submitted at Division Level",
      "description": "Per the Animal Drug User Fee Act (ADUFA) V goals letter, beginning in FY 2024, FDA will report quarterly in FDA‐TRACK the number of H submissions submitted to each review division in the Office of New Animal Drug Evaluation. H submissions have a 100-day review clock and are submitted under Investigation New Animal Drug files in support of a meeting request, in support of a protocol, or to reach agreement on the raw data to submit in a Target Animal Safety data submission.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Veterinary Medicine (CVM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Veterinary/Drugs"
        }
      ],
      "keyword": [
        "Animal/ Veterinary/ Drug Application"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Animal Drug User Fee Act Performance - INAD H Submissions Submitted at Division Level",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-animal-drug-user-fee-act-performance-inad-h-submissions-submitted-division-level",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0007-FDA-CVETR-PB-I-202608",
      "title": "Animal Drug User Fee Act Animal - Favorable Outcomes for  Investigational New Animal Drug (INAD) Protocols and Data Submissions",
      "description": "Per the Animal Drug User Fee Act (ADUFA) V goals letter, beginning in FY 2024, FDA will report quarterly in FDA-TRACK the number of favorable, non-concurrence/non-accepted shortened review offered, and non-concurrence/non-accepted shortened review not offered outcomes for INAD protocols without data and INAD data submissions.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Veterinary Medicine (CVM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Veterinary/Drugs"
        }
      ],
      "keyword": [
        "Animal/ Veterinary/ Drug Approvals"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Animal Drug User Fee Act Animal - Favorable Outcomes for INAD Protocols and Data Submissions",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-animal-drug-user-fee-act-animal-favorable-outcomes-inad-protocols-and-data-submissions",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0008-FDA-CVETR-PB-I-202608",
      "title": "Center for Veterinary Medicine - Pre-market Animal Drug Review",
      "description": "The Center for Veterinary Medicine (CVM) evaluates and approves new animal drugs for all species including food-producing animals, such as poultry, cattle, and swine; exotic animals, including zoo animals; wildlife; and companion animals, such as dogs, cats, and horses.  The approval of new animal drugs is critical to promoting the well-being of animals and the safety of the food supply.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Veterinary Medicine (CVM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Veterinary/Drugs"
        }
      ],
      "keyword": [
        "Animal/ Veterinary/ Drug Review"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Center for Veterinary Medicine - Pre-market Animal Drug Review",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-veterinary-medicine-pre-market-animal-drug-review",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0009-FDA-CVETR-PB-I-202608",
      "title": "Center for Veterinary Medicine - Post-market Drug Safety, Effectiveness, and Quality",
      "description": "The assessment of the safety, effectiveness, and manufacturing quality of a new animal drug is a continuing process that takes place throughout the development and marketing of that drug. CVM uses risk-based approaches to protect consumers and animals from drugs that are not safe, effective, or quality manufactured.\n\nEach FDA-TRACK program area collects, analyzes, and reports its performance measures and results.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Veterinary Medicine (CVM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Veterinary/Drugs"
        }
      ],
      "keyword": [
        "Animal/ Veterinary/ Drug Safety/ Drug Quality"
      ],
      "status": "Candidate",
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000A-FDA-CVETR-PB-I-202608",
      "title": "Center for Veterinary Medicine - Compounded Animal Drugs",
      "description": "A compounded animal drug is made by combining, mixing or altering ingredients to create a medication tailored to the needs of an individual animal or a small group of animals. These drugs, which can play a critical role in veterinary medicine, are typically made by pharmacists or veterinarians.\n Compounded animal drugs are not FDA-approved drugs. When FDA approves an animal drug, the approval covers a finished drug product, ready for use by a veterinarian or patient without further manufacturing. The FDA review encompasses the specific active and inactive ingredients to be used; manufacturing methods; and labeling, including the drug’s indications, intended species, warnings, safety information, and other conditions of use. FDA approval means that FDA has determined that the data demonstrates the approved animal drug is safe, effective, quality manufactured, and truthfully labeled. Further, the approved animal drug becomes part of our post-approval pharmacovigilance program, where we monitor adverse events, product defects, advertising, and changes in the manufacturing and labeling of the approved animal drug. Because they are not FDA-approved, compounded animal drugs don’t have the same assurances of safety, effectiveness, and quality manufacturing, and truthful labeling as approved animal drugs. The Federal Food, Drug, and Cosmetic Act (the “Act”) permits compounding of animal drugs when the source of the active ingredient is a finished, FDA-approved drug. In contrast, nothing in the Act authorizes the compounding of animal drugs from bulk drug substances (BDS). Nevertheless, there are situations in which a needed compounded animal drug can only be made using a BDS.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Veterinary Medicine (CVM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Veterinary/Drugs"
        }
      ],
      "keyword": [
        "Animal/ Veterinary/ Drug Safety/ Drug Quality"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Center for Veterinary Medicine - Compounded Animal Drugs",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-veterinary-medicine-compounded-animal-drugs",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000B-FDA-CVETR-PB-I-202608",
      "title": "Animal Generic Drug User Fee Act Animal Drug Applications and Supplements",
      "description": "Animal Generic Drug User Fee Act (AGDUFA) Applications and supplements current performance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Veterinary Medicine (CVM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Veterinary/Drugs"
        }
      ],
      "keyword": [
        "Animal/ Veterinary/ Generic Drug Application"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Animal Generic Drug User Fee Act Animal Drug Applications and Supplements",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-animal-generic-drug-user-fee-act-animal-drug-applications-and-supplements",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000C-FDA-CVETR-PB-I-202608",
      "title": "Animal Drug User Fee Act Performance - Mutual Recognition Agreements",
      "description": "Beginning in FY 2024, FDA will report quarterly in FDA‐TRACK the percentage of pre-approval inspection risk decisions in which enacted mutual recognition agreements were used to establish or to provide a more recent Good Manufacturing Practices history. FDA uses a risk-based approach to determine whether pre-approval inspections are needed to support submission approval using information provided in applications and information FDA may have regarding the facilities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Veterinary Medicine (CVM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Veterinary/Drugs"
        }
      ],
      "keyword": [
        "Animal/ Veterinary/ Manufacturing Agreements"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Animal Drug User Fee Act Performance - Mutual Recognition Agreements",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-animal-drug-user-fee-act-performance-mutual-recognition-agreements",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000D-FDA-CVETR-PB-I-202608",
      "title": "Center for Veterinary Medicine - Emerging Technologies",
      "description": "Emerging technologies have the potential to influence multiple fields, including medicine, animal conservation, and agriculture. Modern molecular technologies, such as genetic engineering and genome editing, allow for the development of intentional genomic alterations (IGAs) in animals for purposes such as improving food production, research into human disease, production of substances for pharmaceutical use, and as sources of cells, tissues, or organs for transplantation into humans. Other products of emerging technologies such as animal cells, tissues, and cell- and tissue-based products (ACTPs) offer potential novel therapies for a variety of veterinary medical needs, including musculoskeletal diseases and inflammatory conditions. CVM is committed to using a science- and risk-based approach to regulate products of emerging technologies. Our approach ensures consumer confidence and fosters development of emerging technology products with the potential to improve human and animal health.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Veterinary Medicine (CVM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Veterinary"
        }
      ],
      "keyword": [
        "Animal/ Veterinary/ Regulatory Process/ Public Outreach"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Center for Veterinary Medicine - Emerging Technologies",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-veterinary-medicine-emerging-technologies",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000E-FDA-CBER-PB-I-202608",
      "title": "Center for Biologics Evaluation and Research Dashboard",
      "description": "CBER’s performance measures reported in the FDA-TRACK Program align to the CBER 2021-2025 Strategic Plan. The CBER Strategic Plan is organized by four goals. Each goal is briefly described below with links to visualizations and dashboards. Explore the progress CBER is making by strategic goal on the FDA-TRACK website.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Biologics Evaluation and Research (CBER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Biologics"
        }
      ],
      "keyword": [
        "Biologics"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Center for Biologics Evaluation and Research Dashboard",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-biologics-evaluation-and-research-dashboard",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000F-FDA-CBER-PB-I-202608",
      "title": "Center for Biologics Evaluation and Research - Goal 3",
      "description": "During public health emergencies, the American public relies on CBER to proactively enhance response preparedness.  This means the discovery, development, production, and distribution of regulated products to counter these threats and resolve public health emergencies.  As many of the products FDA regulates directly address infectious disease threats that are not unique to the U.S., CBER carries out its regulatory responsibilities through international engagements that support both national and global health.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Biologics Evaluation and Research (CBER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Biologics"
        }
      ],
      "keyword": [
        "Biologics/ international engagement"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Center for Biologics Evaluation and Research - Goal 3",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-biologics-evaluation-and-research-goal-3",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000G-FDA-CBER-PB-I-202608",
      "title": "Center for Biologics Evaluation and Research - Goal 2",
      "description": "CBER’s research program must keep pace with the rapid innovation in biologics to ensure that CBER’s regulatory decisions and policy-making are informed by the latest science and technology. To achieve this goal, CBER will continue to maintain a robust scientific infrastructure to support key scientific activities by ensuring that CBER’s labs and core research facilities remain up to date with emerging technology.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Biologics Evaluation and Research (CBER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Biologics"
        }
      ],
      "keyword": [
        "Biologics/ Lab/ Research"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Center for Biologics Evaluation and Research - Goal 2",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-biologics-evaluation-and-research-goal-2",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000H-FDA-CBER-PB-I-202608",
      "title": "Center for Biologics Evaluation and Research - Goal 4",
      "description": "CBER leadership understands the Center cannot accomplish mission-critical initiatives without an aligned strategy and organizational accountability. To manage for strategic excellence and organizational accountability, CBER relies on the Offices that provide internal program support. These Offices work collaboratively to advance and maintain a skilled and experienced workforce adaptable to an everchanging environment.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Biologics Evaluation and Research (CBER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Biologics"
        }
      ],
      "keyword": [
        "Biologics/ program support"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Center for Biologics Evaluation and Research - Goal 4",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-biologics-evaluation-and-research-goal-4",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000I-FDA-CBER-PB-I-202608",
      "title": "Center for Biologics Evaluation and Research - Goal 1",
      "description": "CBER incorporates advances in science and technology into the full product life cycle from concept to marketed product. This focus on integration facilitates access to safe and effective products that improve how patients feel, function, and survive. The development of innovative products presents unique challenges, and CBER must balance timely patient access to novel (new) products with meeting key standards for safety and efficacy, such as the current Good Manufacturing Practice (cGMP) regulations for human pharmaceuticals.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Biologics Evaluation and Research (CBER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Biologics"
        }
      ],
      "keyword": [
        "Biologics/ Recalls/ Adverse Events"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Center for Biologics Evaluation and Research - Goal 1",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-biologics-evaluation-and-research-goal-1",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000J-FDA-OC-PB-I-202608",
      "title": "Office of the Chief Medical Officer - Office of Combination Products Dashboard",
      "description": "Office of Combination Products (OCP) serves as a focal point for combination product (drug-device, biologic-device, drug-biologic, or drug-device-biologic products) issues for agency reviewers and industry.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Food and Drug Administration (FDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drug/Biologic"
        }
      ],
      "keyword": [
        "Combination Products"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Office of the Chief Medical Officer - Office of Combination Products Dashboard",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-office-chief-medical-officer-office-combination-products-dashboard",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000K-FDA-ORA-PB-I-202608",
      "title": "Office of Inspections and Investigations Dashboard",
      "description": "The Office of Inspections and Investigations (OII) is the lead office for all FDA field inspection, investigation, imports, and emergency response activities. OII will continue to inspect, investigate, screen imports, and respond to emergency activities to ensure that food, feed, and medical products are safe and effective for the American public. FDA’s reorganization transferred compliance and enforcement responsibilities to the Human Food Program (HFP), FDA Centers, and Office of Chief Scientist (OCS), including the final inspection and reinspection timeline decisions for non-compliance firms. OII will reinspect FDA regulated firms for corrective actions following compliance reinspection requests.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Inspections and Investigations (OII)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Inspections/Investigation"
        }
      ],
      "keyword": [
        "Compliance Inspection/ Lab/"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Office of Inspections and Investigations Dashboard",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-office-inspections-and-investigations-dashboard",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000L-FDA-CDRH-PB-I-202608",
      "title": "Manufacturer and User Facility Device Experience (MAUDE)",
      "description": "MAUDE data represents reports of adverse events involving medical devices. The data consists of all voluntary reports since June, 1993, user facility reports since 1991, distributor reports since 1993, and manufacturer reports since August, 1996.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Adverse Events"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "MAUDE (Manufacturer and User Facility Device Experience)",
          "accessURL": "https://www.fda.gov/medical-devices/mandatory-reporting-requirements-manufacturers-importers-and-device-user-facilities/about-manufacturer-and-user-facility-device-experience-maude-database",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "Deviceevent API",
              "endpointURL": [
                "https://api.fda.gov/device/event"
              ],
              "endpointDescription": [
                "https://api.fda.gov/device/event.json"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "open FDA",
                  "hasEmail": "mailto:open@fda.hhs.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "FDA"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000M-FDA-CDRH-PB-I-202608",
      "title": "MedSun Reports",
      "description": "The Medical Product Safety Network (MedSun) is an adverse event reporting program launched in 2002 by the U.S. Food and Drug Administration’s Center for Devices and Radiological Health (CDRH). The primary goal for MedSun is to work collaboratively with the clinical community to identify, understand, and solve problems with the use of medical devices.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Adverse Events"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "MedSun Reports",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/Medsun/searchreport.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000N-FDA-CDRH-PB-I-202608",
      "title": "Advisory Committee/Panel Meetings - Center for Devices and Radiological Health (CDRH)",
      "description": "This database contains historical information about CDRH Advisory Committees and Panel meetings through 2008, including summaries and transcripts.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Advisory Committee"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Advisory Committee/Panel Meetings - CDRH",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfAdvisory/search.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000O-FDA-CDRH-PB-I-202608",
      "title": "Devices@FDA",
      "description": "Devices@FDA is a catalog of cleared and approved medical device information from FDA. It includes links to the device summary information, manufacturer, approval date, user instructions, and other consumer information. Devices@FDA searches the following databases: Premarket Notifications (510(k)s) and Premarket Approvals (PMA).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Cleared/ Approved"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Devices@FDA",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/devicesatfda/index.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000P-FDA-CDRH-PB-I-202608",
      "title": "Product Classification",
      "description": "This database contains medical device names and associated information developed by the Center.  It includes a three letter device product code and a Device Class that refers to the level of CDRH regulation of a given device.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Device Class"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Classification",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpcd/classification.cfm?start_search=1&submission_type_id=&devicename=&productcode=&deviceclass=&thirdparty=&panel=&regulationnumber=&implant_flag=&life_sustain_support_flag=&summary_malfunction_reporting=&pagenum=500&sortcolumn=regulationnumber",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000Q-FDA-CDRH-PB-I-202608",
      "title": "Center for Devices and Radiological Health (CDRH) Export Certificate Validation (CECV)",
      "description": "This searchable database contains valid (not expired) export certificates submitted electronically via CECATS (CDRH Export Certification Application and Tracking System) and issued by the Center for Devices and Radiological Health. The results displayed include the facility name, certificate type, expiration date, certificate number, and the number of pages per certificate.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Export"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDRH Export Certificate Validation (CECV)",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfRL/DTLS/rl_cert.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "CLIA Currently Waived Analytes",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfClia/analyteswaived.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000R-FDA-CDRH-PB-I-202608",
      "title": "Registration & Listing",
      "description": "This searchable database contains establishments (engaged in the manufacture, preparation, propagation, compounding, assembly, or processing of medical devices intended for human use and commercial distribution) and listings of medical devices in commercial distribution by both domestic and foreign manufacturers. Generally, owners or operators of establishments that are involved in the production and distribution of medical devices intended for use in the U.S. are required to register annually with the FDA. Generally, establishments that are required to register with the FDA are also required to list the devices that are made there and the activities that are performed on those devices. If a device requires a premarket submission before being marketed in the U.S., then the owner/operator should also provide the FDA premarket submission number (510(k), De Novo, PMA, PDP, HDE). Note: This database is updated weekly.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Facility Registration/ Listings"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Registration & Listing",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "Devicereglist API",
              "endpointURL": [
                "https://api.fda.gov/device/registrationlisting"
              ],
              "endpointDescription": [
                "https://api.fda.gov/device/registrationlisting.json"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "open FDA",
                  "hasEmail": "mailto:open@fda.hhs.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "FDA"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000S-FDA-CDRH-PB-I-202608",
      "title": "Humanitarian Device Exemption (HDE)",
      "description": "Searchable listing of Humanitarian Device Exemption (HDE) Class III medical devices.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Humanitarian Device Exemption"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Humanitarian Device Exemption (HDE)",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfHDE/hde.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000T-FDA-CDRH-PB-I-202608",
      "title": "Clinical Laboratory Improvement Amendments (CLIA)",
      "description": "This database contains the commercially marketed in vitro test systems categorized by the FDA since January 31, 2000, and tests categorized by the Centers for Disease Control and Prevention (CDC) prior to that date.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ In Vitro"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Clinical Laboratory Improvement Amendments (CLIA)",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfCLIA/clia.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000U-FDA-CDRH-PB-I-202608",
      "title": "Clinical Laboratory Improvement Amendments (CLIA) Currently Waived Analytes",
      "description": "This database contains the commercially marketed in vitro test systems categorized as CLIA waived by the FDA since January 31, 2000, and by the Centers for Disease Control and Prevention (CDC) prior to that date.  CLIA waived test systems are waived from certain CLIA laboratory requirements (42 CFR Part 493).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ In Vitro"
      ],
      "status": "Candidate",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000V-FDA-CDRH-PB-I-202608",
      "title": "Medical Device Reporting (MDR)",
      "description": "This database allows you to search the CDRH database information on medical devices which may have malfunctioned or caused a death or serious injury during the years 1992 through 1996.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Malfunction/ Safety"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "MDR (Medical Device Reporting)",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfmdr/search.CFM",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000W-FDA-CDRH-PB-I-202608",
      "title": "FDA Certified Mammography Facilities",
      "description": "A searchable listing by state and zip code of all mammography facilities certified by FDA as meeting baseline quality standards for equipment, personnel and practices under the Mammography Quality Standards Act of 1992 (MQSA).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Mammography"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FDA Certified Mammography Facilities",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfMQSA/mqsa.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000X-FDA-CDRH-PB-I-202608",
      "title": "AccessGUDID (Global Unique Device Identification Database)",
      "description": "This database contains key device identification information submitted to the FDA about medical devices that have Unique Device Identifiers (UDI).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Medical Devices"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "AccessGUDID (Global Unique Device Identification Database)",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "Deviceudi API",
              "endpointURL": [
                "https://api.fda.gov/device/udi?"
              ],
              "endpointDescription": [
                "https://api.fda.gov/device/udi.json?"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "open FDA",
                  "hasEmail": "mailto:open@fda.hhs.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "FDA"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000Y-FDA-CDRH-PB-I-202608",
      "title": "De Novo",
      "description": "De novo provides a possible route to classify novel devices of low to moderate risk. This database contains de novo classification orders.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Novel Device"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "De Novo",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfPMN/denovo.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "000Z-FDA-CDRH-PB-I-202608",
      "title": "In vitro diagnostics (IVD) Home Use Lab Tests (Over The Counter) Tests",
      "description": "Searchable listing of Over-the-Counter tests (OTC) and collection kits that have been cleared or approved by the FDA.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Over-the-Counter Test"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "IVD Home Use Lab Tests (Over The Counter) Tests",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfIVD/Search.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0010-FDA-CDRH-PB-I-202608",
      "title": "Post-Approval Studies (PAS) Database",
      "description": "This database contains information about current Post-Approval Studies (PAS). Manufacturers required to conduct PAS must complete the study as a condition of approval. This database allows you to search PAS information by applicant or device information. This database is updated once a week.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Post-Approval"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Post-Approval Studies (PAS) Database",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/Medsun/searchreport.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0011-FDA-CDRH-PB-I-202608",
      "title": "522 Postmarket Surveillance Studies Program",
      "description": "This database contains information about current 522 Postmarket Surveillance Studies. This database allows you to search 522 information by manufacturer or device information.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Postmarket/ Manufacturer"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "522 Postmarket Surveillance Studies Program",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfPMA/pss.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0012-FDA-CDRH-PB-I-202608",
      "title": "Premarket Approvals (PMA)",
      "description": "Premarket approval by FDA is the required process of scientific review to ensure the safety and effectiveness of all devices classified as Class III devices. An approved Premarket Approval Application (PMA) is, in effect, a private license granted to the applicant for marketing a particular medical device. This database may be searched by a variety of fields and is updated once a week.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Pre-Market/ Approval"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Premarket Approvals (PMA)",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "Devicepma API",
              "endpointURL": [
                "https://api.fda.gov/device/pma"
              ],
              "endpointDescription": [
                "https://api.fda.gov/device/pma.json"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "open FDA",
                  "hasEmail": "mailto:open@fda.hhs.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "FDA"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0013-FDA-CDRH-PB-I-202608",
      "title": "Premarket Approval (PMA) Summary Review Memos for 180-Day Design Changes",
      "description": "A 180-day supplement is a request for a significant change in components, materials, design, specification, software, color additive, and labeling to an approved premarket application or premarket report. As a pilot program under the CDRH Transparency Initiative, FDA has begun releasing some summary review memos for 180-day PMA supplements relating to design changes.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Pre-Market/ Approval"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Premarket Approval (PMA) Summary Review Memos for 180-Day Design Changes",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pmamemos.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0014-FDA-CDRH-PB-I-202608",
      "title": "Premarket Notifications (510(k)s)",
      "description": "Medical device manufacturers are required to submit a premarket notification or 510(k) if they intend to introduce a device into commercial distribution for the first time or reintroduce a device that will be significantly changed or modified to the extent that its safety or effectiveness could be affected. This database of releasable 510(k)s can be searched by 510(k) number, applicant, device name or FDA product code.  Summaries of safety and effectiveness information is available via the web interface for more recent records. The database is updated once a week.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Pre-Market/ Notification"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Premarket Notifications (510(k)s)",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "Deviceclearance API",
              "endpointURL": [
                "https://api.fda.gov/device/510k"
              ],
              "endpointDescription": [
                "https://api.fda.gov/device/510k.json"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "open FDA",
                  "hasEmail": "mailto:open@fda.hhs.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "FDA"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0015-FDA-CDRH-PB-I-202608",
      "title": "Total Product Life Cycle (TPLC)",
      "description": "The Total Product Life Cycle (TPLC) database integrates premarket and postmarket data about medical devices. It includes information pulled from CDRH databases including Premarket Approvals (PMA), Premarket Notifications (510[k]), Adverse Events, and Recalls. You can search the TPLC database by device name or procode to receive a full report about a particular product line.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Product Lifecycle"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Total Product Life Cycle (TPLC)",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfTPLC/tplc.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0016-FDA-CDRH-PB-I-202608",
      "title": "Radiation-emitting Electronic Product Codes",
      "description": "This database contains product names and associated information developed by the Center for all products, both medical and non-medical, which emit radiation. It includes a three letter product code, a descriptor for radiation type, applicable performance standard(s), and a definition for the code.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Radition-Emitting"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Radiation-emitting Electronic Product Codes",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfPCD_rh/TextSearch.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0017-FDA-CDRH-PB-I-202608",
      "title": "Radiation Emitting Product Corrective Actions and Recalls",
      "description": "This database provides descriptions of radiation-emitting products that have been recalled under an approved corrective action plan to remove defective and noncompliant products from the market. Searches may be done by manufacturer name, performance standard, product name, description, or date range.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Radition-Emitting"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Radiation Emitting Product Corrective Actions and Recalls",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfPCD_RH/rh_res.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0018-FDA-CDRH-PB-I-202608",
      "title": "Recalls of Medical Devices",
      "description": "This database contains Medical Device Recalls classified since November 1, 2002. Beginning January 3, 2017, the database may also include correction or removal actions initiated by a firm prior to review by the FDA. The status of the action is updated if the FDA identifies a violation and classifies the action as a recall and again when the recall is terminated.  FDA recall classification may occur after the firm recalling the medical device product conducts and communicates with its customers about the recall and provides contact information for customers with questions.  Therefore, the recall information posting date (“create date”) indicates the date FDA classified the recall, it does not necessarily mean that the recall is new.  CBER recall information is available here.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Recalls/ Violations"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Recalls of Medical Devices",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "Devicerecall API",
              "endpointURL": [
                "https://api.fda.gov/device/recall"
              ],
              "endpointDescription": [
                "https://api.fda.gov/device/recall.json"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "open FDA",
                  "hasEmail": "mailto:open@fda.hhs.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "FDA"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0019-FDA-CDRH-PB-I-202608",
      "title": "Code of Federal Regulations (CFR) Title 21 - Food and Drugs",
      "description": "This database contains the most recent revision from the Government Printing Office (GPO) of the Code of Federal Regulations (CFR) Title 21 - Food and Drugs.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices",
        "Regulatory"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CFR Title 21 - Food and Drugs",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfcfr/cfrsearch.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "001A-FDA-CDRH-PB-I-202608",
      "title": "Recognized Consensus Standards",
      "description": "This database consists of those national and international standards recognized by FDA which manufacturers can declare conformity to and is part of the information the Center can use to make an appropriate decision regarding the clearance or approval of a submission. Information submitted on conformance with such standards will have a direct bearing on safety and effectiveness determinations made during the review of Investigational Device Exemptions (IDE), Humanitarian Device Exemptions (HDE), Premarket Approval (PMA), and Product Development Protocol (PDP).  Conformance with recognized consensus standards in and of itself, however, may not always be a sufficient basis for regulatory decisions.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ Standards/ Safety"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Recognized Consensus Standards",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfStandards/search.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "001B-FDA-CDRH-PB-I-202608",
      "title": "X-Ray Assembler Data",
      "description": "Federal regulations require that an assembler who installs one or more certified components of a diagnostic x-ray system submit a report of assembly. This database contains the releasable information submitted including  Equipment Location, General Information and Component Information. Note: Data does not include dental system installations.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Devices and Radiological Health (CDRH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Devices/ X-Ray/ Federal Regulation"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "X-Ray Assembler Data",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfAssem/assembler.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "001C-FDA-OC-PB-I-202608",
      "title": "Office of Operations Dashboard",
      "description": "The Chief Operating Officer (COO) has agency-wide authority for strengthening the management of business programs and operations of the agency. The COO oversees day-to-day management issues, effective implementation of Congressional and Commissioner priorities and initiatives, and the delivery of quality services by the agency and its centers. OO provides an array of agency-wide services including information technology, procurement, and facilities.  OO provides leadership and direction regarding delegation of authority, freedom of information, privacy act, and regulatory dockets management and ethics and conflict of interest matters.  OO provides executive administrative management services to the OC nationwide staff.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of the Commissioner (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Devices"
        }
      ],
      "keyword": [
        "Docket Management"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Office of Operations Dashboard",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-office-operations-dashboard",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "001D-FDA-CDER-PB-I-202608",
      "title": "Pre-Approval Safety Review - Drugs and Biologics Dashboard",
      "description": "Prior to approval, new drugs go through many steps, or “phases” during the approval process. They are first tested on animals, then on small groups of humans for preliminary safety information (phase 1) and again on small groups of people to get a preliminary review of the drug’s effectiveness (phase 2). Very few drugs make it past these early phases, as companies and/or CDER often find early signs that the drug may not be as safe or effective enough. For the relatively few drugs that pass these hurdles, phase 3 clinical trials are the next step. Generally, this phase involves a much larger group of people. Clinical trial patients take the drug over an extended period of time under the supervision of scientists and health care professionals who assess the overall risks and benefits of the drug. Drugs that still show potential for safety and effectiveness after phase 3 trials are the ones that FDA considers for approval. It is important to note that FDA is not responsible for conducting clinical trials. It assesses the data from clinical trials to evaluate drugs during the approval process. Data contained in the dashboard is not final, but accurate at the time of posting; refer to the Prescription Drug User Fee Act (PDUFA) Performance Reports to Congress for official data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/ Biologics/ Pre-Approval"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Pre-Approval Safety Review - Drugs and Biologics Dashboard",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-drug-evaluation-and-research-pre-approval-safety-review-drugs-and-biologics",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "001E-FDA-CDER-PB-I-202608",
      "title": "Biosimilar User Fee Act Biosimilar Applications and Supplements",
      "description": "Biosimilar User Fee Act (BsUFA) Applications and supplements current performance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)/Center for Biologics Evaluation and Research (CBER)",
        "subOrganizationOf": [
          {
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      "description": "Generic drugs are important options that allow greater access to health care for all Americans. Availability of generic drugs drives price competition and has helped millions of Americans obtain access to less costly but still safe and effective drug therapies. Generic drugs are copies of brand-name drugs and are the same as those brand name drugs in dosage form, safety, strength, route of administration, quality, performance characteristics, and intended use. Through oversight of laboratory and other scientific testing and research that demonstrates “bioequivalence” between products, Center for Drug Evaluation and Research (CDER) works to ensure that generic drugs offer the same therapeutic value to patients as their brand name counterparts. Data contained in the dashboard is not final, but accurate at the time of posting; refer to the Generic Drug User Fee Amendments (GDUFA) Performance Reports to Congress for official data.",
      "contactPoint": [
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      ],
      "keyword": [
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      ],
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          "@type": "Distribution",
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          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-drug-evaluation-and-research-pre-approval-safety-review-generics-dashboard",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "001S-FDA-CDER-PB-I-202608",
      "title": "Post-Approval Safety Monitoring - Patient Safety Tools Dashboard",
      "description": "CDER incorporates patient safety in virtually all our regulatory actions and initiatives. From working to ensure safety protocols in clinical trials, to evaluating safety in our review and approval process, to overseeing quality standards in manufacturing, to keeping up with scientific and clinical research, to engaging patients, caregivers, and health care professionals in our decision making, to monitoring drug safety after approval, and much more, safety is essential to all our work. In this section, we report two particular safety activities: 1) Risk Evaluation and Mitigation Strategies (REMS), and 2) the FDA Adverse Event Reporting System (FAERS). REMS programs are specific extra safety measures that patients, manufacturers, health care professionals, and others must take prior to a patient using a drug. Each REMS is tailored to a certain drug or drug class and is designed to help ensure that the drug’s benefit outweighs its risk. FAERS is an FDA database of adverse events from medical products as reported by manufacturers, patients, health professionals, and others. These data are critical for FDA to monitor the post-market safety of FDA-approved products.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)/Center for Biologics Evaluation and Research (CBER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs/Biologics"
        }
      ],
      "keyword": [
        "Drugs/ Patient Safety"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Post-Approval Safety Monitoring - Patient Safety Tools Dashboard",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-drug-evaluation-and-research-post-approval-safety-monitoring-patient-safety-tools",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "001T-FDA-CDER-PB-I-202608",
      "title": "Policy and Science Development Dashboard",
      "description": "Researchers at CDER focus on developing the scientific knowledge, methods, tools, and standards needed to develop and evaluate new drugs. In this effort, CDER also engages the wider research community in collaborative research to address critical gaps in CDER’s scientific knowledge that hinder drug development. At public meetings, CDER staff obtain vital information from patients to identify and address unmet medical needs. The new knowledge and capabilities obtained through these efforts, and the opportunities they provide to further drug development, are communicated to sponsors and the wider scientific community through scientific guidances, peer-reviewed publications, and a variety of formal and informal meetings, including scientific workshops and advisory committees",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/ Policy"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Policy and Science Development Dashboard",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-drug-evaluation-and-research-policy-and-science-development-dashboard",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "001U-FDA-CDER-PB-I-202608",
      "title": "Post-Approval Safety Monitoring - Drug Shortages Dashboard",
      "description": "FDA takes great efforts, within its legal authority, to address and prevent drug shortages, which can occur for many reasons, including manufacturing and quality problems, delays, and discontinuations. FDA responds to potential drug shortages by taking actions to address their underlying causes and to enhance product availability. FDA determines how best to address each shortage situation based on its cause and the public health risk associated with the shortage by working with firms to address any potential risks to keep medically necessary products available while also ensuring there is not going to be harm to patients associated with the quality issues.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/ Post-Approval"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Post-Approval Safety Monitoring - Drug Shortages Dashboard",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-drug-evaluation-research-post-approval-safety-monitoring-drug-shortages-dashboard",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "001V-FDA-CDER-PB-I-202608",
      "title": "Post-Approval Safety Monitoring - Compliance Dashboard",
      "description": "FDA has established a wide array of guidance and regulations to help assure patients have access to high-quality over-the-counter and prescription medications that are safe and effective. CDER diligently works to ensure compliance through facility inspections, product testing, and other pre- and postmarket actions, including enforcement actions, in the United States and globally. This work includes oversight of clinical trials, commercial manufacturing of raw and finished products, compounded drugs, supply chain integrity, drug recalls, product labels, drug registration and listing, and post-market safety requirements.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/ Post-Approval/ Compliance"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Post-Approval Safety Monitoring - Compliance Dashboard",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-drug-evaluation-and-research-post-approval-safety-monitoring-compliance-dashboard",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "001W-FDA-CDER-PB-I-202608",
      "title": "Prescription Drug User Fee Act Performance Prescription Drug Applications and Supplements",
      "description": "Includes submissions reviewed on time, overdue or pending.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)/Center for Biologics Evaluation and Research (CBER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs/Biologics"
        }
      ],
      "keyword": [
        "Drugs/ Presciption Drugs/ Applications"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Prescription Drug User Fee Act Performance Prescription Drug Applications and Supplements",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-prescription-drug-user-fee-act-performance-prescription-drug-applications-and-supplements",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "001X-FDA-CDER-PB-I-202608",
      "title": "Prescription Drug User Fee Act Historical Performance - Prescription Drug Applications and Supplements",
      "description": "Previous 5 year averages of submissions data",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)/Center for Biologics Evaluation and Research (CBER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs/Biologics"
        }
      ],
      "keyword": [
        "Drugs/ Presciption Drugs/ Applications"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Prescription Drug User Fee Act Historical Performance - Prescription Drug Applications and Supplements",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-prescription-drug-user-fee-act-historical-performance-prescription-drug-applications-and",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "001Y-FDA-CDER-PB-I-202608",
      "title": "Prescription Drug User Fee Act Meeting Management",
      "description": "Meeting management goal performance",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)/Center for Biologics Evaluation and Research (CBER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs/Biologics"
        }
      ],
      "keyword": [
        "Drugs/ Presciption Drugs/ Meeting Management"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Prescription Drug User Fee Act Meeting Management",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-prescription-drug-user-fee-act-meeting-management",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "001Z-FDA-CDER-PB-I-202608",
      "title": "Prescription Drug User Fee Act Historical Performance - Meeting Management",
      "description": "Meeting management goal performance",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)/Center for Biologics Evaluation and Research (CBER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs/Biologics"
        }
      ],
      "keyword": [
        "Drugs/ Presciption Drugs/ Meeting Management"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Prescription Drug User Fee Act Historical Performance - Meeting Management",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-prescription-drug-user-fee-act-historical-performance-meeting-management",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0020-FDA-CDER-PB-I-202608",
      "title": "Prescription Drug User Fee Act Procedural Notifications and Responses",
      "description": "Includes procedural notifications and responses related to submissions reviewed on time, overdue or pending.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)/Center for Biologics Evaluation and Research (CBER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs/Biologics"
        }
      ],
      "keyword": [
        "Drugs/ Presciption Drugs/ Notifications/ Responses"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Prescription Drug User Fee Act Procedural Notifications and Responses",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-prescription-drug-user-fee-act-procedural-notifications-and-responses",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0021-FDA-CDER-PB-I-202608",
      "title": "Prescription Drug User Fee Act Historical Performance - Procedural Notifications and Responses",
      "description": "Previous 5 year averages of submissions data",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)/Center for Biologics Evaluation and Research (CBER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs/Biologics"
        }
      ],
      "keyword": [
        "Drugs/ Presciption Drugs/ Notifications/ Responses"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Prescription Drug User Fee Act Historical Performance - Procedural Notifications and Responses",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-prescription-drug-user-fee-act-historical-performance-procedural-notifications-and",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0022-FDA-OC-PB-I-202608",
      "title": "Office of the Executive Secretariat",
      "description": "Each FDA-TRACK program area collects, analyzes, and reports its performance measures and results. Explore the progress OES is making towards it&#39;s strategic priorities below:",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Food and Drug Administration (FDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs/Biologics/Devices/Food"
        }
      ],
      "keyword": [
        "FOIA"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Office of the Executive Secretariat",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-office-executive-secretariat",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0023-FDA-CFSAN-PB-I-202608",
      "title": "Human Foods Program - Education and Outreach",
      "description": "Dramatic improvements in reducing the burden of foodborne illness cannot be made without doing more to influence the beliefs, attitudes, and, most importantly, the behaviors of people and the actions of organizations. FDA protects and promotes public health through outreach and education by increasing public awareness about FDA’s food programs and policies and providing advice on preventing foodborne illness and making healthful food choices.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Human Foods Program (HFP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Food"
        }
      ],
      "keyword": [
        "Food/ Consumer Outreach/ Food Safety"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Human Foods Program - Education and Outreach",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-human-foods-program-education-and-outreach",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0024-FDA-CFSAN-PB-I-202608",
      "title": "Human Foods Program - Compliance and Enforcement",
      "description": "FDA monitors domestic and foreign firms and the foods that they produce. FDA protects consumers from unsafe food through, among other things, research and development, inspection, voluntary destruction, sampling, recall, seizure, injunction, and criminal prosecution. Explore the progress HFP is making towards its Compliance and Enforcement efforts below:",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Human Foods Program (HFP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Food"
        }
      ],
      "keyword": [
        "Food/ Environmental Sampling/ Food Registry/ Regulatory and Compliance Actions/ Export Certifications"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Human Foods Program - Compliance and Enforcement",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-human-foods-program-compliance-and-enforcement",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0025-FDA-CFSAN-PB-I-202608",
      "title": "Food Safety Modernization Act Report Measures",
      "description": "The FDA Food Safety Modernization Act (FSMA) is transforming the nation’s food safety system by shifting the focus from responding to foodborne illness to preventing it. Congress enacted FSMA in response to dramatic changes in the global food system and in our understanding of foodborne illness and its consequences, including the realization that preventable foodborne illness is both a significant public health problem and a threat to the economic well-being of the food system. FSMA requires special reports to Congress and studies on FDA&#39;s activities and the impact of FSMA. Below is a subset of measures from those reports and studies.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Human Foods Program (HFP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Food"
        }
      ],
      "keyword": [
        "Food/ FSMA/ Domestic Facility Inventory/ Fees/ Mandatory Recall"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Food Safety Modernization Act Report Measures",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-food-safety-modernization-act-report-measures",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0026-FDA-CFSAN-PB-I-202608",
      "title": "Preventive Controls and Current Good Manufacturing Practice Measures",
      "description": "This set of measures focuses on the FSMA rules entitled “Current Good Manufacturing Practice, Hazard Analysis, and Risk-Based Preventive Controls for Human Food” (PC Human Food Regulation) and “Current Good Manufacturing Practice, Hazard Analysis, and Risk-Based Preventive Controls for Food for Animals” (PC Animal Food Regulation). The first compliance dates for these rules arrived in September 2016 for the largest businesses.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Human Foods Program (HFP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Food"
        }
      ],
      "keyword": [
        "Food/ FSMA/ Food Safety/ Allergen/ Sanitation/ Inspection/ Prevention/ Recall"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Preventive Controls and Current Good Manufacturing Practice Measures",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-preventive-controls-and-current-good-manufacturing-practice-measures",
          "useRestriction": [
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              "restrictionStatus": "unrestricted"
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          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0027-FDA-CFSAN-PB-I-202608",
      "title": "Imported Food Safety Measures",
      "description": "This set of measures focuses on imported human food, imported animal food and the Foreign Supplier Verification Program (FSVP). The first compliance dates for FSVP began in May 2017.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "Human Foods Program (HFP)",
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            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Food"
        }
      ],
      "keyword": [
        "Food/ FSMA/ FSVP/ Compliance/ Foreign Supplier"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Imported Food Safety Measures",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-imported-food-safety-measures",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
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          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0028-FDA-CFSAN-PB-I-202608",
      "title": "Human Foods Program - Regulatory Science",
      "description": "The FDA conducts research that advances regulatory science, the science of developing tools, standards, and approaches to assess the safety, efficacy, quality, and performance of FDA-regulated products. Regulatory science facilitates evaluation or development of FDA-regulated products and supports regulatory decision-making and policy development. It also enables the FDA to understand and assess risk, prepare for, and respond to, public health emergencies, and help ensure the safety or reduce the harm of products used or consumed by patients and consumers.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "Human Foods Program (HFP)",
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          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Food"
        }
      ],
      "keyword": [
        "Food/ Genome/ Food Safety"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Human Foods Program - Regulatory Science",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
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          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "Foodevent API",
              "endpointURL": [
                "https://api.fda.gov/food/event"
              ],
              "endpointDescription": [
                "https://api.fda.gov/food/event.json"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "open FDA",
                  "hasEmail": "mailto:open@fda.hhs.gov"
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              ],
              "publisher": {
                "@type": "Organization",
                "name": "FDA"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0029-FDA-CFSAN-PB-I-202608",
      "title": "Human Foods Program - Pre-market Review",
      "description": "FDA conducts premarket activities to ensure substances added to the food supply are safe, including reviews of food and color additive petitions, Generally Recognized as Safe (GRAS) ingredients, and new food contact substances, materials, and packaging. These activities are backed by the field-based surveillance, inspection, and compliance activities carried out to oversee imports, respond to foodborne illness outbreaks, and remove harmful products from the market.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Human Foods Program (HFP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Food"
        }
      ],
      "keyword": [
        "Food/ Ingrediants/ Dietary/ Packaging/ Infant Formula"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Human Foods Program - Pre-market Review",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-human-foods-program-pre-market-review",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002A-FDA-CFSAN-PB-I-202608",
      "title": "Reportable Food Registry Data Dashboard",
      "description": "Welcome to the interactive Reportable Food Registry Data Dashboard. Hover over points on any of the charts to view additional information and click through the tabs for breakdowns of data. The source data used to create this dashboard can be downloaded by clicking on the button labeled &#34;Download RFR Dataset&#34; located at the bottom of the webpage.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Human Foods Program (HFP)",
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          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Food"
        }
      ],
      "keyword": [
        "Food/ Registry/ Feed/ Adulteration"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Reportable Food Registry Data Dashboard",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-reportable-food-registry-data-dashboard",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002B-FDA-OC-PB-I-202608",
      "title": "Office of Global Policy and Strategy Dashboard",
      "description": "FDA’s Office of Global Policy and Strategy holds a unique role in helping to advance and safeguard Americans by way of ensuring global considerations are fully integrated into FDA’s policies and operational activities. In a uniform fashion, the Office of Global Policy and Strategy seeks to achieve this through the mutual reinforcement of policy coherence, the strengthening of global partnerships, and the collection, analysis, and disseminating of high-quality information. Within a similar fold, the Office of Global Policy and Strategy works to enhance the breadth of international policy and diplomacy as well as compliance efforts taking place on the front-lines, both domestically and aboard, in order to maintain regulatory symmetry while also mitigating issues as they arise. It’s the hope that with these objectives working in tandem together that our office is able to continue to protect and promote public health to the fullest extent possible. Explore the progress OGPS is making to protect public health below.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Food and Drug Administration (FDA)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Food"
        }
      ],
      "keyword": [
        "Inspections/ Policy/ Strategy"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Office of Global Policy and Strategy Dashboard",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-office-global-policy-and-strategy-dashboard",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002C-FDA-OC-PB-I-202608",
      "title": "Unified Agenda-TRACK",
      "description": "Regulations specify the details and requirements necessary to implement and to enforce legislation enacted by Congress. Because of their importance, an agency’s rulemaking plans are of great interest to a wide range of stakeholders. Therefore, the Federal Government publishes a semi-annual agenda of upcoming regulations in the Federal Register, usually in the Spring and Fall. On this Web page, we will maintain an updated agenda of the agency’s upcoming rulemakings.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Food and Drug Administration (FDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs/Biologics/Devices/Food"
        }
      ],
      "keyword": [
        "Legislative Enforcement"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Unified Agenda-TRACK",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-unified-agenda-track",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002D-FDA-OC-PB-I-202608",
      "title": "Office of the Chief Medical Officer - Office of Orphan Products Development Dashboard",
      "description": "Office of Orphan Products Development (OOPD) is dedicate to promoting the development of products (drugs, devices, biologics, and medical foods) that demonstrate promise for the diagnosis and/or treatment of rare diseases or conditions.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Food and Drug Administration (FDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drug/Device/Biologic/Food"
        }
      ],
      "keyword": [
        "Orphan Products"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Office of the Chief Medical Officer - Office of Orphan Products Development Dashboard",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-office-chief-medical-officer-office-orphan-products-development-dashboard",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002E-FDA-CDER-PB-I-202608",
      "title": "Over-the-Counter (OTC) Monographs",
      "description": "Provides a resource for the public to view Administrative for OTC Monograph Drugs and view OTC Monographs.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "OTC/ OMUFA/ Administrative Order"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "OTC Monographs",
          "accessURL": "https://dps.fda.gov/omuf/monographsearch",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002F-FDA-CDER-PB-I-202608",
      "title": "Over-the-Counter Monograph Drug User Fee Program (OTC OMUFA)",
      "description": "Facilitates the ability for the public to submit, search, and view comments and data for Proposed and Interim Final Administrative Orders, except if otherwise specified.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "OTC/ OMUFA/ DRUG"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "OTC (OMUFA)",
          "accessURL": "https://dps.fda.gov/omuf/ordersearch",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002G-FDA-NCTR-PB-I-202608",
      "title": "National Center for Toxicological Research Dashboard",
      "description": "The National Center for Toxicological Research (NCTR), FDAs internationally recognized research center, plays a critical role in the FDA’s mission. NCTR—in partnership with researchers from elsewhere in FDA, other government agencies, academia, and industry—provides innovative technology, methods development, vital scientific training, and technical expertise. The unique scientific expertise of NCTR is critical in supporting FDA product Centers and their regulatory roles. NCTR’s performance measures reported in the FDA-TRACK Program are divided into three categories: Key Projects, Outreach Measures and Research Publication measures. Explore the progress NCTR is making towards its strategic priorities on the FDA-TRACK website.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Toxicological Research (NCTR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Toxicological Research"
        }
      ],
      "keyword": [
        "Outreach/ Research Publication"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Center for Toxicological Research Dashboard",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-national-center-toxicological-research-dashboard",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002H-FDA-OC-PB-I-202608",
      "title": "Office of the Chief Medical Officer - Office of Pediatric Therapeutics Dashboard",
      "description": "Office of Pediatric Therapeutics (OPT) primary mission is to assure access for children to innovative, safe and effective medical products.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Food and Drug Administration (FDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drug/Device/Biologic"
        }
      ],
      "keyword": [
        "Pediatric Therapeutics"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Office of the Chief Medical Officer - Office of Pediatric Therapeutics Dashboard",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-office-chief-medical-officer-office-pediatric-therapeutics-dashboard",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002I-FDA-CTP-PB-I-202608",
      "title": "Center for Tobacco Products - Strategic Priority II: Compliance and Enforcement",
      "description": "Every day, CTP takes action to protect American families, charting a new course for comprehensive change. CTPs Compliance and Enforcement key priority area includes inspection, investigation, monitoring and review activities and initiating appropriate enforcement actions that are supported by evidence.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Tobacco Products (CTP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Tobacco Products"
        }
      ],
      "keyword": [
        "Tobacco Products/ Compliance/ Enforcement"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Center for Tobacco Products - Strategic Priority II: Compliance and Enforcement",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-tobacco-products-strategic-priority-ii-compliance-and-enforcement",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002J-FDA-CTP-PB-I-202608",
      "title": "Center for Tobacco Products - Strategic Priority IV: Core Operations",
      "description": "Every day, CTP takes action to protect American families, charting a new course for comprehensive change. CTPs Core Operations key priority area includes user fee collection. The FDA assesses and collects user fees from manufacturers and importers of cigarettes, snuff, chewing tobacco, roll-your-own tobacco, cigar, and pipe tobacco, under Section 919 of the Food, Drug, and Cosmetic Act.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Tobacco Products (CTP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Tobacco Products"
        }
      ],
      "keyword": [
        "Tobacco Products/ Fee Collection"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Center for Tobacco Products - Strategic Priority IV: Core Operations",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-tobacco-products-strategic-priority-iv-core-operations",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002K-FDA-CTP-PB-I-202608",
      "title": "Center for Tobacco Products - Strategic Priority I: Public Education",
      "description": "Every day, CTP takes action to protect American families, charting a new course for comprehensive change. CTPs Public Education key priority area include educating at risk audiences on dangers and utilizing the tools given by Congress to maximize potential and positively impact public health.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Tobacco Products (CTP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Tobacco Products"
        }
      ],
      "keyword": [
        "Tobacco Products/ Public Education"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Center for Tobacco Products - Strategic Priority I: Public Education",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "Tobaccoproblem API",
              "endpointURL": [
                "https://api.fda.gov/tobacco/problem"
              ],
              "endpointDescription": [
                "https://api.fda.gov/tobacco/problem.json"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "open FDA",
                  "hasEmail": "mailto:open@fda.hhs.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "FDA"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002L-FDA-CTP-PB-I-202608",
      "title": "Center for Tobacco Products - Strategic Priority III: Science and Research Dashboard",
      "description": "Every day, CTP takes action to protect American families, charting a new course for comprehensive change. CTPs Science and Research key priority area includes product applications and research projects.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Tobacco Products (CTP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Tobacco Products"
        }
      ],
      "keyword": [
        "Tobacco Products/ Science/ Education"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Center for Tobacco Products - Strategic Priority III: Science and Research Dashboard",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-center-tobacco-products-strategic-priority-iii-science-and-research-dashboard",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002M-FDA-OC-PB-I-202608",
      "title": "Office of the Chief Scientist Dashboard",
      "description": "FDA Office of Chief Scientist (OCS) provides strategic leadership, coordination, and expertise to support scientific excellence, innovation, collaboration and capacity to achieve FDAs public health mission. Explore the progress OCS is making towards its strategic priorities on the FDA-TRACK website.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Food and Drug Administration (FDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs/Biologics"
        }
      ],
      "keyword": [
        "Training/ Education"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Office of the Chief Scientist Dashboard",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-office-chief-scientist-dashboard",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002N-FDA-CDER-PB-I-202608",
      "title": "Postmarketing Requirement (PMR)",
      "description": "FDA Postmarketing Requirements and Commitments Searchable Database provides information to the public on postmarketing requirements and commitments. This searchable database includes PMRs and 506B PMCs which are those studies and trials for clinical safety, clinical efficacy, clinical pharmacology, and nonclinical toxicology. It also includes all open PMRs and 506B PMCs and only those closed (released or fulfilled) within the last year.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Notifications"
      ],
      "status": "Candidate",
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002O-FDA-CDER-PB-I-202608",
      "title": "National Drug Code (NDC)",
      "description": "FDA’s National Drug Code (NDC) Directory contains information about finished drug products, unfinished drugs and compounded drug products.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Drug Code Directory",
          "accessURL": "https://www.fda.gov/drugs/drug-approvals-and-databases/national-drug-code-directory",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002P-FDA-CDER-PB-I-202608",
      "title": "Drug Establishments Current Registration Site (DECRS)",
      "description": "Publication of currently registered establishments which manufacture, prepare, propagate, compound or process drugs that are distributed in the U.S. or offered for import to the U.S.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Facilities/Companies"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Drug Establishments Current Registeration Site",
          "accessURL": "https://www.fda.gov/drugs/drug-approvals-and-databases/drug-establishments-current-registration-site",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002Q-FDA-CDER-PB-I-202608",
      "title": "Wholesale Drug Distributor (WDD)",
      "description": "Contains information submitted by wholesale drug distributors and third-party logistics providers. Each line of the database represents a license for a particular facility.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Facilities/Companies/Supply Chain"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Wholesale Distributor and Third-Party Logistics Provider Reporting",
          "accessURL": "https://dps.fda.gov/wdd3plreporting",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002R-FDA-CDER-PB-I-202608",
      "title": "Outsourcing Facility Product Report",
      "description": "List of drugs outsourcing facilities compounded during the previous six-month period upon initial registration and in June and December each year.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Facilities/Companies/Supply Chain"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Outsourcing Facility Product Report",
          "accessURL": "https://dps.fda.gov/outsourcingfacility",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002S-FDA-CDER-PB-I-202608",
      "title": "Genric Drug Facility Listing",
      "description": "Publication of currently registered generic drug facilities which manufacture, prepare, propagate or process drugs that are distributed in the U.S. or offered for import to the U.S.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Genric Drugs/Facilities/Companies/Supply Chain"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Genric Drug Facility Listing",
          "accessURL": "https://www.fda.gov/industry/generic-drug-user-fee-amendments/generic-drug-facilities-sites-and-organization-lists",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002T-FDA-CDER-PB-I-202608",
      "title": "Drug Shortages",
      "description": "Current and Resolved Drug Shortages and Discontinuations Reported to FDA.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Facilities/Companies/Supply Chain"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Drug Shortages",
          "accessURL": "https://dps.fda.gov/drugshortages",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002U-FDA-CDER-PB-I-202608",
      "title": "Inactive Ingredient Database (IID)",
      "description": "Provides information on inactive ingredients present in FDA-approved drug products.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Substances"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Inactive Ingredients Report",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cder/iig/index.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002V-FDA-CDER-PB-I-202608",
      "title": "Med Guide",
      "description": "Med Guides, a type labeling for patients and caregivers, for FDA-approved human prescription drugs and therapeutic biological products.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Saftey"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Medication Guide",
          "accessURL": "https://dps.fda.gov/medguide",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002W-FDA-CDER-PB-I-202608",
      "title": "Drugs@FDA",
      "description": "Includes information about drugs, including biological products, approved for human use in the United States but does not include information about FDA-approved products regulated by CBER.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Drugs@FDA",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "Drugsfda API",
              "endpointURL": [
                "https://api.fda.gov/drug/drugsfda"
              ],
              "endpointDescription": [
                "https://api.fda.gov/drug/drugsfda.json"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "open FDA",
                  "hasEmail": "mailto:open@fda.hhs.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "FDA"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002X-FDA-CDER-PB-I-202608",
      "title": "President's Emergency Plan for AIDS Relief (PEPFAR)",
      "description": "Search for information about tentatively approved and approved antiretroviral drugs that are eligible for procurement under the President’s Emergency Plan for AIDS Relief (PEPFAR) Program.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Policy"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "President's Emergency Plan for AIDS Relief (PEPFAR) Database",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cder/daf/index.cfm?event&#61;pepfar.page",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002Y-FDA-CDER-PB-I-202608",
      "title": "Risk Evaluation and Mitigation Strategy (REMS)",
      "description": "Currently approved and shared system REMS.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Saftey"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Approved Risk Evaluation and Mitigation Strategies (REMS)",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cder/rems/index.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "002Z-FDA-CDER-PB-I-202608",
      "title": "Safety Labeling Changes",
      "description": "Provides approved safety-related labeling changes from January 2016 forward. Data prior to January 2016 will continue to be available on the MedWatch website.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Policy/Notifications"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Safety Labeling Changes",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cder/safetylabelingchanges/index.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0030-FDA-CDER-PB-I-202608",
      "title": "Orange Book",
      "description": "Lists drug products approved on the basis of safety and effectiveness by the Food and Drug Administration (FDA) under the Federal Food, Drug, and Cosmetic Act (the Act), therapeutic equivalence evaluations, marketing statuses, and related applicable patent and exclusivity information.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Orange Book",
          "accessURL": "https://www.fda.gov/drugs/drug-approvals-and-databases/approved-drug-products-therapeutic-equivalence-evaluations-orange-book",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0031-FDA-CDER-PB-I-202608",
      "title": "Purple Book",
      "description": "The Purple Book is a database that contains information about all FDA-licensed biological products regulated by the Center for Drug Evaluation and Research (CDER), including licensed biosimilar and interchangeable products, and their reference products. The Purple Book also contains information on all FDA-licensed allergenic, cellular and gene therapy, hematologic, and vaccine products regulated by the Center for Biologics Evaluation and Research (CBER).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Purple Book",
          "accessURL": "https://purplebooksearch.fda.gov/",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0032-FDA-CDER-PB-I-202608",
      "title": "Product-Specific Guidance (PSG)",
      "description": "Search PSGs, describe the Agencys current thinking and expectations to develop generic drug products therapeutically equivalent to specific RLDs.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Policy"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Specific Guidance",
          "accessURL": "https://www.fda.gov/drugs/guidances-drugs/product-specific-guidances-generic-drug-development",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0033-FDA-CDER-PB-I-202608",
      "title": "Bioresearch Monitoring Information System (BMIS)",
      "description": "In order to foster transparency and encourage information sharing within the clinical research community, FDA’s Center for Drug Evaluation and Research (CDER) maintains a bioresearch monitoring Web site that makes certain clinical research information available to the public. This Web site contains information on clinical investigators (CIs), contract research organizations (CROs), and institutional review boards (IRBs) involved in the conduct of clinical studies conducted under an Investigational New Drug (IND) application with human investigational drugs and therapeutic biologics who are listed on a Form FDA 1572 or 1571 submitted to CDER since October 1, 2008.  BMIS is therefore not intended to provide a comprehensive list of all CIs, CROs or IRBs involved in clinical research.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Policy/Research"
      ],
      "status": "Candidate",
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0034-FDA-CDER-PB-I-202608",
      "title": "Dissolution Methods",
      "description": "For a drug product that does not have a dissolution test method in the United States Pharmacopeia (USP), the FDA Dissolution Methods Database provides information on dissolution methods presently recommended by the Division of Biopharmaceutics, Office of Pharmaceutical Quality to aid in developing generic drug products.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Saftey/Research"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Dissolution Methods",
          "accessURL": "https://www.accessdata.fda.gov/scripts/cder/dissolution/dsp_getallData.cfm",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0035-FDA-CDER-PB-I-202608",
      "title": "List of Drug Master Files (DMF)",
      "description": "Changes to the DMF activity status (active ;inactive), DMF type, holder name and subject (title) made since the last update.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "List of DMF's",
          "accessURL": "https://www.fda.gov/drugs/drug-master-files-dmfs/list-drug-master-files-dmfs",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0036-FDA-CDER-PB-I-202608",
      "title": "List of Type II Drug Master Files (DMF) available for Reference",
      "description": "A list of DMFs that have passed the completeness assessment and are available for reference by ANDAs under GDUFA.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "List of Type II DMF's available for Reference",
          "accessURL": "https://www.fda.gov/media/85138/download?attachment",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0037-FDA-CDER-PB-I-202608",
      "title": "Paragraph IV Patent Certifications List",
      "description": "List of ANDA(s) that are submitted on the first day an application may be acceptedwith a paragraph IV certification. Provides information utilized by the drug manufacturing industry and the media.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Saftey/Notifications"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Paragraph IV Patent Certifications List",
          "accessURL": "https://www.fda.gov/drugs/abbreviated-new-drug-application-anda/patent-certifications-and-suitability-petitions#List",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0038-FDA-CDER-PB-I-202608",
      "title": "Competative Generic Therapy (CGT) Approvals",
      "description": "The competitive generic therapy website lists all approved ANDA applications that have been granted CGT designation.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Research"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Competative Generic Therapy (CGT) Approvals",
          "accessURL": "https://www.fda.gov/drugs/generic-drugs/competitive-generic-therapy-approvals",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0039-FDA-CDER-PB-I-202608",
      "title": "Off Patent List/Off Exclusivity List",
      "description": "The FDA maintains a list of approved new drug application (NDA) drug products that are no longer protected by patents or exclusivities, and for which the FDA has not approved an abbreviated new drug application (ANDA) referencing that NDA product. The FDA updates this list every six months (in June and December) to improve transparency and encourage the development and submission of ANDAs in markets with little competition.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Policy/Saftey/Research"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Off Patent List/Off Exclusivity List",
          "accessURL": "https://www.fda.gov/drugs/abbreviated-new-drug-application-anda/list-patent-exclusivity-drugs-without-approved-generic",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "003A-FDA-CDER-PB-I-202608",
      "title": "FDA Reauthorization Act (FDARA) 805 and 807 Reporting",
      "description": "Activities Report of the Generic Drugs Program (FY 2021) – FDARA Title VIII Section 807 and 805. Section 807 of the FDA Reauthorization Act of 2017(FDARA) requires the FDA to report on certain abbreviated new drug applications (ANDAs) subject to priority review under section 505(j)(11) of the Federal Food, Drug, and Cosmetic (FD&C) Act and certain ANDAs with a competitive generic therapy designation under section 506H of the FD&C Act. The tables below provide data on the total number of ANDAs in these two categories that are either awaiting FDA action or awaiting applicant action at the end of each reporting quarter, as well as the number of ANDAs approved in each of these categories during the reporting quarter. The numbers reported below only reflect ANDAs that have been received for review pursuant to section 505(j) of the FD&C Act; if a new ANDA submission has not yet been received for review at the end of the reporting quarter, meaning FDA has not yet made a threshold determination whether the submission is substantially complete, it will be reported in the next quarter after it is received for review.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Drug Evaluation and Research (CDER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drugs"
        }
      ],
      "keyword": [
        "Drugs/Policy/Notifications"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FDARA 805 Reporting",
          "accessURL": "https://www.fda.gov/industry/generic-drug-user-fee-amendments/activities-report-generic-drug-program-fdara-title-viii-sections-807-and-805",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "003B-FDA-OC-PB-I-202608",
      "title": "Food and Drug Administration Safety and Innovation Act (FDASIA)-TRACK",
      "description": "FDA will communicate its progress towards accomplishing the requirements of the FDA Safety and Innovation Act (FDASIA) by updating the chart below on a regular basis.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FDA Governance Team",
          "hasEmail": "mailto:uig@fda.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Food and Drug Administration (FDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Food and Drug Administration (FDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Food/Drugs/Biologics/Devicces/Tobacco Products/Veterinary"
        }
      ],
      "keyword": [
        "Policy"
      ],
      "status": "Candidate",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FDASIA-TRACK",
          "accessURL": "https://www.fda.gov/about-fda/fda-track-agency-wide-program-performance/fda-track-fdasia-track",
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Medicaid CMS-64 New Adult Group Expenditures",
      "identifier": "00505e90-f8ac-5921-b12f-5e23ba7ffcf3",
      "description": "This dataset reports summary level expenditure data associated with the new adult group established under the Affordable Care Act. These state expenditures are reported through the federal Medicaid Budget and Expenditure System (MBES).\n\nNotes:\n1. “VIII GROUP” is also known as the “New Adult Group.”\n2. The VIII Group is only applicable for states that have expanded their Medicaid programs by adopting the VIII Group. VIII Group expenditure information\nfor the states that have not expanded their Medicaid program is noted as “N/A.”\n3. States that have reported “0” either have no expenditures for that reporting category or have not yet reported expenditures for that category.\n4. MCHIP expenditures are not included in the All Medical Assistance Expenditures.",
      "accessLevel": "public",
      "issued": "2017-11-03T13:18:16Z",
      "modified": "2026-02-17T19:09:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Expenditures",
        "VIII Group",
        "Expansion Population",
        "New Adult Group",
        "CMS-64",
        "Medicaid",
        "Medicaid Budget and Expenditure System (MBES)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-cms-64-new-adult-group-expenditures-dataset-02172026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/e27804f7-1db8-41cb-8ece-a1c1fe9d885a",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Business Rules PUF - PY2024",
      "identifier": "0063b2e0-f674-4c04-91a4-380d71f613ee",
      "description": "The Business Rules PUF (BR-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The BR-PUF contains plan-level data on rating business rules, such as maximum age for a dependent and allowed dependent relationships.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2024-08-06T04:00:00Z",
      "modified": "2024-08-14T13:30:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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        "name": "Office of Communications (OC)",
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        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2024",
        "Business Rules",
        "Exchange PUF",
        "Marketplace PUF"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2024/business_rules_PUF.csv",
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            "title": "data.healthcare.gov"
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          "license": "https://www.usa.gov/publicdomain/label/1.0/"
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      ],
      "bureauCode": [
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      "programCode": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0127-af37",
      "title": "Pulmonary Disease Office Visit Costs",
      "description": "Returns pulmonary disease office visit costs per zip code for new and established patients.",
      "keyword": [
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      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/42ab5f223769b7afe1cc11d7af4658a5_1722902766/Pulmonary_Disease.csv",
          "mediaType": "text/csv",
          "title": "Pulmonary_Disease.csv"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Pulmonary Disease Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/0127-af37"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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        ]
      },
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-04-10-to-2023-04-16",
      "identifier": "0131a022-958f-45d1-a746-f937bc916c6d",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-10-20T11:00:56Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-04-10-to-2023-04-16",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-4-10-2023-to-4-16-2023-102025.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
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      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "bureauCode": [
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      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
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      },
      "description": "The Medicare Access and CHIP Reauthorization Act of 2015 (MACRA) repealed the Medicare sustainable growth rate (SGR) update formula for payments under the Medicare Physician Fee Schedule. For 2016, the Physician Fee Schedule update factor is 0.5% and the conversion factor is 35.8043.",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2016.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "01ba021c-78a6-4d16-bfa9-b93975f4ef4c",
      "keyword": [
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        "indicators"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
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      ],
      "publisher": {
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      },
      "temporal": [
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          "startDate": "2016-01-01",
          "endDate": "2016-12-31T11:59:59Z"
        }
      ],
      "theme": [
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      "title": "Indicators for 2016",
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      "inventoried": "2026-09-27"
    },
    {
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      "accessLevel": "public",
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      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
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      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "State level payment total and averages for all years",
          "mediaType": "text/csv",
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          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_STATE_SMRY_P06302026_06032026-joined.csv",
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      ],
      "identifier": "02157882-0f43-473a-a777-c96eb5b1b623",
      "title": "State level payment total and averages for all years",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
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          "startDate": "2017-01-01",
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      ],
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    },
    {
      "@type": "Dataset",
      "identifier": "029b-dd7e",
      "title": "Physical Therapist in Private Practice Office Visit Costs",
      "description": "Returns physical therapist in private practice office visit costs per zip code for new and established patients.",
      "keyword": [
        "Physical Therapist in Private Practice"
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      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/7f415eefebf56eed51e1fe811db70130_1722902759/Physical_Therapist_in_Private_Practice.csv",
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          "title": "Physical_Therapist_in_Private_Practice.csv"
        }
      ],
      "landingPage": {
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        "title": "Physical Therapist in Private Practice Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/029b-dd7e"
      },
      "theme": [
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      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
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      },
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    {
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      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "The Medicare Physician Fee Schedule update factor for 2019 is 0.25% and the conversion factor is 36.0391.",
      "distribution": [
        {
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          "mediaType": "text/csv",
          "format": "csv",
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          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "02a20400-9821-4a55-b4c4-94584f31e2f9",
      "keyword": [
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        "indicators"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
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      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
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          "endDate": "2019-12-31T11:59:59Z"
        }
      ],
      "theme": [
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      ],
      "title": "Indicators for 2019",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0330-b6e0",
      "title": "Preventive Medicine Office Visit Costs",
      "description": "Returns preventive medicine office visit costs per zip code for new and established patients.",
      "keyword": [
        "Preventive Medicine"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
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          "title": "Preventive_Medicine.csv"
        }
      ],
      "landingPage": {
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        "accessURL": "https://data.medicare.gov/provider-data/dataset/0330-b6e0"
      },
      "theme": [
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      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
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    {
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      "accessLevel": "public",
      "keyword": [
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      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "All general (non-research, non-ownership related) payments from the 2021 program year [January 1 – December 31, 2021] <p><strong>NOTE:</strong> This is a very large file and, depending on your network characteristics and software, may take a long time to download or fail to download. Additionally, the number of rows in the file may be larger than the maximum rows your version of <a href=\"https://support.microsoft.com/en-us/office/excel-specifications-and-limits-1672b34d-7043-467e-8e27-269d656771c3\">Microsoft Excel</a> supports. If you can't download the file, we recommend engaging your IT support staff. If you are able to download the file but are unable to open it in MS Excel or get a message that the data has been truncated, we recommend trying alternative programs such as MS Access, Universal Viewer, Editpad or any other software your organization has available for large datasets.</p>",
      "distribution": [
        {
          "title": "General Payment Data – Detailed Dataset 2021 Reporting Year",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/PGYR2021_P06302026_06032026/OP_DTL_GNRL_PGYR2021_P06302026_06032026.csv",
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            "title": "openpaymentsdata.cms.gov"
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      ],
      "identifier": "0380bbeb-aea1-58b6-b708-829f92a48202",
      "title": "2021 General Payment Data",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
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        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "General Payments"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
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        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2024"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2024 payments grouped by reporting entities, covered recipient, and nature of payments",
          "mediaType": "text/csv",
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          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_AMGPO_BY_CR_BY_NTR_OF_PYMT_PGYR2024_P06302026_06032026.csv",
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      "title": "2024 payments grouped by reporting entities, covered recipient, and nature of payments",
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      "contactPoint": {
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      "accrualPeriodicity": "R/P1Y",
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      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
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    {
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      "accessLevel": "public",
      "keyword": [
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      "contactPoint": {
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      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "National level payment total and averages by provider specialty for all years",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SPLTY_SMRY_P06302026_06032026-joined.csv",
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      "identifier": "04c3355f-955b-4620-b3a8-08020cc9c1f2",
      "title": "National level payment total and averages by provider specialty for all years",
      "issued": "2026-06-30",
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      ],
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      "@type": "Dataset",
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      "inventoried": "2026-09-27"
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    {
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        "018:10"
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      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
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      "description": "2009 Physician Fee Schedule Data",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2009.csv",
          "mediaType": "text/csv",
          "format": "csv",
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      "identifier": "04e9c94a-c446-4a1d-a26d-6c09929d2686",
      "keyword": [
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      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
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      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
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      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2009-01-01",
          "endDate": "2009-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Indicators for 2009",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rate of NAS per 1,000 births in newborns whose deliveries were covered by Medicaid or CHIP, 2017 - 2019",
      "identifier": "0563d88c-8fe5-42a8-9d69-f67fd21c0e91",
      "description": "This table presents the rate of neonatal abstinence syndrome per 1,000 newborns whose deliveries were covered by Medicaid or CHIP, 2017 - 2019.\n\nSome states have serious data quality issues, making the data unusable for identifying this population. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Data from Maryland, Tennessee, and Utah are omitted for the tables due to data quality concerns. Values for Maryland were excluded due to unusable diagnosis codes in the IP file and the OT file in 2017. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2019.  In addition, states with a high data quality concern on one or more measures are noted in the table with an asterisk (*). \n\nPlease refer to the DQ Atlas for more information about data quality assessment methods.",
      "accessLevel": "public",
      "modified": "2025-10-17T12:08:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Neonatal Abstinence Syndrome (NAS)",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Rate of NAS per 1,000 births in newborns whose deliveries were covered by Medicaid or CHIP, 2017 - 2019",
          "description": "This table presents the rate of neonatal abstinence syndrome per 1,000 newborns whose deliveries were covered by Medicaid or CHIP, 2017 - 2019.\r\n\r\nSome states have serious data quality issues, making the data unusable for identifying this population. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Data from Maryland, Tennessee, and Utah are omitted for the tables due to data quality concerns. Values for Maryland were excluded due to unusable diagnosis codes in the IP file and the OT file in 2017. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2019.  In addition, states with a high data quality concern on one or more measures are noted in the table with an asterisk (*). \r\n\r\nPlease refer to the DQ Atlas for more information about data quality assessment methods.",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/rate-of-nas-per-thous-in-newborns-2017-to-2019.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "057a-5bcf",
      "title": "Psychiatry Office Visit Costs",
      "description": "Returns psychiatry office visit costs per zip code for new and established patients.",
      "keyword": [
        "Psychiatry"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/2aab19c0470ed3ce74a651ddb417d87f_1722902763/Psychiatry.csv",
          "mediaType": "text/csv",
          "title": "Psychiatry.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Psychiatry Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/057a-5bcf"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt measure_value v2.10.22 (coreset-impl)",
      "identifier": "05abc6c7-8d36-521a-82a8-3182ea85a1ea",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-15T00:37:43Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt measure_value v2.10.22 (coreset-impl)",
          "description": "CoreSEt measure_value v2.10.22 (coreset-impl)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/2.10.22/20241029/measure_value.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 11-03-2025-to-11-09-2025",
      "identifier": "062df548-c91d-48c1-a6f9-b3138c6bfc7b",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-11-10T20:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-11-03-2025-to-11-09-2025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "069d-826b",
      "title": "Obstetrics & Gynecology Office Visit Costs",
      "description": "Returns obstetrics &amp; gynecology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Obstetrics & Gynecology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/ef0e951993eefdbf3a464f5206a72d7f_1722902749/Obstetrics_Gynecology.csv",
          "mediaType": "text/csv",
          "title": "Obstetrics_Gynecology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Obstetrics & Gynecology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/069d-826b"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "075a-d487",
      "title": "Cardiac Surgery Office Visit Costs",
      "description": "Returns cardiac surgery office visit costs per zip code for new and established patients.",
      "keyword": [
        "Cardiac Surgery"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/07d58122e6e786e1bb50d1031faf18b0_1722902713/Cardiac_Surgery.csv",
          "mediaType": "text/csv",
          "title": "Cardiac_Surgery.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Cardiac Surgery Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/075a-d487"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard filters v3.3.1 (imp)",
      "identifier": "076d0bf4-50f5-52f4-b142-f49d558e1bcd",
      "modified": "2025-05-09T18:04:00Z",
      "distribution": [
        {
          "title": "Scorecard filters v3.3.1 (imp)",
          "description": "Scorecard filters v3.3.1 (imp)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.3.1/20250506/filters.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard measure v3.9.137 (ETL Test)",
      "identifier": "0833a46e-3155-5b38-a029-2d05abe6721c",
      "modified": "2026-09-21T03:25:08Z",
      "distribution": [
        {
          "title": "Scorecard measure v3.9.137 (ETL Test)",
          "description": "Scorecard measure v3.9.137 (ETL Test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.137/20260918/measure.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard filters v3.3.1 (cmsdev)",
      "identifier": "08b59dc2-a89b-512a-bab9-e8f83e4b7848",
      "modified": "2025-05-09T16:11:01Z",
      "distribution": [
        {
          "title": "Scorecard filters v3.3.1 (cmsdev)",
          "description": "Scorecard filters v3.3.1 (cmsdev)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.3.1/20250506/filters.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet state v3.9.94 (CMS Development)",
      "identifier": "08befceb-ef7c-5329-b140-4f2246f4da75",
      "modified": "2026-08-06T15:58:18Z",
      "distribution": [
        {
          "title": "CoreSet state v3.9.94 (CMS Development)",
          "description": "CoreSet state v3.9.94 (CMS Development)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.94/20260805/state.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
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        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard FILTERS vCORESET.1.1-test (coreset-local)",
      "modified": "2024-05-07T13:23:49Z",
      "distribution": [
        {
          "title": "Scorecard FILTERS vCORESET.1.1-test (coreset-local)",
          "description": "Scorecard FILTERS vCORESET.1.1-test (coreset-local)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/CORESET.1.1-test/20240430/FILTERS.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "08e4a98e-066a-54b3-b2e7-0fede5c8f5d9",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Benefits and Cost Sharing PUF - PY2023",
      "identifier": "08f39b98-83cf-47d6-be34-12c0f77b1706",
      "description": "The Benefits and Cost Sharing PUF (BenCS-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The BenCS-PUF contains plan variant-level data on essential health benefits, coverage limits, and cost sharing for each QHP and SADP.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2023-08-09T04:00:00Z",
      "modified": "2023-08-16T04:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Benefits and Cost Sharing",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2023"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2023/benefits_cost_sharing_puf.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/185f6fff-e7c4-443b-bdaf-285a8d308af8",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-02-20-to-2023-02-26",
      "identifier": "0919b0f0-267b-4418-a585-6d3fb7e60658",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-02-28T10:14:29Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-02-20-to-2023-02-26",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-02202023-to-02262023.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0938-3dfa",
      "title": "Nephrology Office Visit Costs",
      "description": "Returns nephrology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Nephrology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/f944fb96af37547f2d329cfc84c18eeb_1722902744/Nephrology.csv",
          "mediaType": "text/csv",
          "title": "Nephrology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Nephrology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/0938-3dfa"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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        ]
      },
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-11-27-to-2023-12-03",
      "identifier": "094de49c-13c3-437c-8419-af9ad3862666",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-12-04T22:05:20Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
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      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-11-27-to-2023-12-03",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-11-27-2023-to-12-03-2023.csv",
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            "title": "data.medicaid.gov"
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          "license": "http://www.usa.gov/publicdomain/label/1.0/"
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      ],
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      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Network PUF - PY2022",
      "identifier": "0953b9c0-0843-4f41-88e9-cc44aed14407",
      "description": "The Network PUF (Ntwrk-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The Ntwrk-PUF contains issuer-level data identifying provider network URLs. ",
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      "accrualPeriodicity": "R/PT1S",
      "issued": "2022-08-10T12:00:00Z",
      "modified": "2022-08-17T13:30:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Network",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2022"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2022/network_puf.csv",
          "describedBy": {
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            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/60ed5f1e-195d-4027-9073-7a4b6254e823",
            "title": "data.healthcare.gov"
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      ],
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      ],
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    },
    {
      "title": "devAuto_footnotes",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
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        "fn": "DataConnect Support Team"
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      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "footnotes csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20260120_e2e_ETL_DEV/footnotes.csv",
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          "mediaType": "text/csv",
          "format": "csv",
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      ],
      "identifier": "095672d6-0a1f-520c-a59a-a87227801cf4",
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      "inventoried": "2026-09-27"
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    {
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      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "The Medicare Physician Fee Schedule update factor for 2017 is 0.5% and the conversion factor is 35.8887*.*",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2017.csv",
          "mediaType": "text/csv",
          "format": "csv",
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      "publisher": {
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          "startDate": "2017-01-01",
          "endDate": "2017-12-31T11:59:59Z"
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      ],
      "theme": [
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      ],
      "title": "Indicators for 2017",
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      "inventoried": "2026-09-27"
    },
    {
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      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
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      ],
      "keyword": [
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        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
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      "title": "Scorecard measure_value v3.9.137 (CMS Test)",
      "identifier": "09998ea9-e7ae-5f49-8947-b70799847d02",
      "modified": "2026-09-21T11:30:53Z",
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        {
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          "description": "Scorecard measure_value v3.9.137 (CMS Test)",
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          "format": "csv",
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        }
      ],
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    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2006",
      "identifier": "0a2ec693-b322-54fb-a950-dfcdc873e3cf",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T13:13:04Z",
      "modified": "2026-04-03T15:28:01Z",
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          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2006.csv",
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      ],
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        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "prodAuto_measure_allStates",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
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      ],
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        ]
      },
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        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-13T13:41:41Z",
      "theme": [
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      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_allStates csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/measure_allStates.csv",
          "description": "{\"dataset\": \"measure_allStates\", \"stage\": \"prodAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
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      ],
      "identifier": "0a339472-900f-526b-b339-f5d7d407a906",
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    },
    {
      "title": "Monthly Enrollment - Test0318",
      "identifier": "0a84adcc-7bc8-4293-a6f9-11937596ad37",
      "description": "test",
      "accessLevel": "public",
      "modified": "2026-03-18T13:48:55Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
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      ],
      "keyword": [
        "Child Enrollment"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/pi-dataset-march-2026release.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/7d80cfd8-3266-4c55-8436-948b7c55b9dd",
            "title": "data.medicaid.gov"
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      ],
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      ],
      "programCode": [
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      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Service Area PUF – PY2022",
      "identifier": "0a973ff8-9926-49c5-91e1-ee6c9c1288e1",
      "description": "The Service Area PUF (SA-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The SA-PUF contains issuer-level data on geographic service areas including state, county, and zip code.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2022-08-10T12:00:00Z",
      "modified": "2022-08-17T13:30:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
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        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Service Area",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2022"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2022/service_area_puf.csv",
          "describedBy": {
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            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/cf346473-7a74-4ca7-a6cb-32c0bd943e89",
            "title": "data.healthcare.gov"
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        }
      ],
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      "inventoried": "2026-09-27"
    },
    {
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        "subOrganizationOf": [
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        ]
      },
      "programCode": [
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      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard pillar v3.9.9 (CMS Test)",
      "modified": "2025-11-25T21:01:23Z",
      "distribution": [],
      "identifier": "0ad2eac6-e469-5392-8d08-c5c7c8b9afec",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Drug Products in the Medicaid Drug Rebate Program",
      "identifier": "0ad65fe5-3ad3-5d79-a3f9-7893ded7963a",
      "description": "Active drugs that have been reported by participating drug manufacturers under the Medicaid Drug Rebate Program. All drugs are identified by National Drug Code (NDC), unit type, units per package size, product name, Food and Drug Administration (FDA) approval date, the date the drug entered the market, plus indicators to show whether the drug is an innovator or non-innovator drug; whether it is available by prescription or over-the-counter (OTC); the FDA therapeutic equivalency code; and the Drug Efficacy Study Implementation (DESI) rating and termination date. Each quarter posted represents a snapshot of data in the system at that time and is not updated by subsequent changes.",
      "accessLevel": "public",
      "issued": "2016-09-22T19:30:49Z",
      "modified": "2026-08-13T19:54:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/drugproducts-q2-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/8b3e3880-fd1b-487c-9817-9aa93009f2aa",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2022 Individual Dental",
      "identifier": "0ad77e97-5a72-46a0-ba74-37a159d100f7",
      "description": "The Dental Individual Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to consumers in the individual market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2022-08-10T12:00:00Z",
      "modified": "2022-08-17T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "QHP Landscape",
        "Individual Market Dental",
        "Individual",
        "SADP",
        "PY2022"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "zip",
          "downloadURL": "https://data.healthcare.gov/datafile/py2022/individual_market_dental.zip"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_measure_compare_download",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2026-02-02T20:37:24Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_compare_download csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20260120_e2e_ETL_DEV/measure_compare_download.csv",
          "description": "{\"dataset\": \"measure_compare_download\", \"stage\": \"devAuto\", \"update_id\": \"20260120_e2e_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "0ae93c4e-85f9-5ecb-a850-61cc5875f824",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0b1a-da3f",
      "title": "Neuropsychiatry Office Visit Costs",
      "description": "Returns neuropsychiatry office visit costs per zip code for new and established patients.",
      "keyword": [
        "Neuropsychiatry"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/f9c31cc9360a72f0ee53f6f12808fa1a_1722902746/Neuropsychiatry.csv",
          "mediaType": "text/csv",
          "title": "Neuropsychiatry.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Neuropsychiatry Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/0b1a-da3f"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
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        "subOrganizationOf": [
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        ]
      },
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      ],
      "programCode": [
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      ],
      "accessLevel": "public",
      "keyword": [
        "2019"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "Ownership Payment Data - Detailed Dataset 2019 Reporting Year\nAll ownership and investment payments from the 2021 program year [January 1 – December 31, 2021]",
      "distribution": [
        {
          "title": "Ownership Payment Data - Detailed Dataset 2019 Reporting Year",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/PGYR2019_P06302026_06032026/OP_DTL_OWNRSHP_PGYR2019_P06302026_06032026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://openpaymentsdata.cms.gov/api/1/metastore/schemas/data-dictionary/items/0b7b03cb-835c-50c4-abbb-5a311eb91858",
            "title": "openpaymentsdata.cms.gov"
          },
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "0b5c9710-7edb-484e-abc8-39293849ccb2",
      "title": "2019 Ownership Payment Data",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-01-01",
          "endDate": "2019-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Ownership Payments"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "PY 2024 Group Public Reporting: MIPS Measures and Attestations",
        "accessURL": "https://data.cms.gov/provider-data/dataset/0ba7-2cb0"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-08-17",
      "@type": "Dataset",
      "modified": "2026-08-24",
      "released": "2026-09-10",
      "keyword": [
        "Performance",
        "Quality",
        "Measures",
        "MIPS",
        "Quality Payment Program"
      ],
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:QPP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "0ba7-2cb0",
      "description": "This file contains performance information for Merit-Based Incentive Payment System (MIPS) Quality, Promoting Interoperability, and Improvement Activities performance information submitted by groups.",
      "title": "PY 2024 Group Public Reporting: MIPS Measures and Attestations",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/3111a240e6c66ecd101b4481b08c5dd3_1787595331/grp_public_reporting_2.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/physician/DOC_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Doctors and clinicians"
      ],
      "archiveExclude": false,
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Managed Care Enrollment by Program and Plan",
      "identifier": "0bef7b8a-c663-5b14-9a46-0b5c2b86b0fe",
      "description": "2024 Enrollment Data by Program and Plan\n\nThe Enrollment Data by Program and Plan table (Table 5 in the Enrollment Report) lists each managed care program’s name and type by state. The data provides details such as the plan name, parent organization, geographic region, Medicaid-only enrollment, dual enrollment, and total enrollment by program.\n\nNote: “0” may not truly represent 0 if a state opted to suppress data for enrollee confidentiality reasons. For example, if a plan had dual enrollment of less than 10, the state may have opted to report 0 instead. \"--\" indicates the state or territory did not provide information for a given program and plan.\n\n2023 Enrollment Data by Program and Plan\n\nThe Enrollment Data by Program and Plan table (Table 5 in the Enrollment Report) lists each managed care program’s name and type by state. The data provides details such as plan name, parent organization, geographic region, Medicaid-only enrollment, dual enrollment, and total enrollment by program.\n\nNote: “0” may not truly represent 0 if a state opted to suppress data for enrollee confidentiality reasons. For example, if a plan had dual enrollment of less than 10, the state may have opted to report 0 instead. \"--\" indicates the state or territory did not provide information for a given program and plan. ",
      "accessLevel": "public",
      "issued": "2017-12-09T03:03:42Z",
      "modified": "2026-02-11T13:23:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Jeff Chamblee",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Comprehensive Managed Care Organizations (MCO)",
        "Managed Care Enrollment",
        "Medicare",
        "Behavioral Health Organization (BHO)",
        "Medicaid",
        "Prepaid Inpatient Health Plan (PIHP)",
        "Primary Care Case Manager (PCCM)",
        "Prepaid Ambulatory Health Plan (PAHP)",
        "Program of All-Inclusive Care for the Elderly (PACE)",
        "Managed Long-Term Services and Supports (MLTSS)",
        "Managed Care Organizations (MCO)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/managed-care-enrollment-by-program-and-plan2024-table4.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "2011 Physician Fee Schedule Data",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2011.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "0bf883e9-0eeb-46d0-a365-64ae3fc0570d",
      "keyword": [
        "2011",
        "indicators"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
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      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Indicators for 2011",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2026 Individual Dental ",
      "identifier": "0c494938-ccdb-412a-be89-9cb69fd82e28",
      "description": "The Dental Individual Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to consumers in the individual market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment. ",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2026-08-04T04:00:00Z",
      "modified": "2026-08-10T14:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Individual",
        "Individual Market Dental",
        "SADP",
        "QHP Landscape",
        "PY2026"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "zip",
          "downloadURL": "https://data.healthcare.gov/datafile/py2026/individual_market_dental.zip",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt filters v2.10.14 (coreset-dev)",
      "identifier": "0ca65533-a457-57ec-b080-9ab30597929c",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-06T01:27:27Z",
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
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      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
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          "title": "CoreSEt filters v2.10.14 (coreset-dev)",
          "description": "CoreSEt filters v2.10.14 (coreset-dev)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.14/20241029/filters.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
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      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Division of Pharmacy Releases Index dataset",
      "identifier": "0d425780-16be-4ded-8420-69def8f4ee29",
      "description": "Division of Pharmacy Releases Index dataset. The list of keywords for this dataset can be found in Additional information table below.",
      "accessLevel": "public",
      "modified": "2025-07-24T14:50:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/division-of-pharmacy-releases-07242025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/7a412d52-d047-4efc-9013-3c34e2ed9afb",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "references": [
        "https://download.medicaid.gov/data/Keywords.csv"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "identifier": "0d5631f5-6600-428d-b326-64f68c302c54",
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2025"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "Groups payment data by state, recipient type, and nature of payment.",
      "distribution": [
        {
          "title": "2025 state-level payment total and averages by Nature of Payment",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_NTR_OF_PYMT_BY_STATE_SMRY_PGYR2025_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "title": "2025 state payment totals grouped by Nature of Payment for all years",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2025-01-01",
          "endDate": "2025-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0d7d-e988",
      "title": "Physician Assistant Office Visit Costs",
      "description": "Returns physician assistant office visit costs per zip code for new and established patients.",
      "keyword": [
        "Physician Assistant"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/1552910fe3bbe9b7aea9ba36060befd5_1722902760/Physician_Assistant.csv",
          "mediaType": "text/csv",
          "title": "Physician_Assistant.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Physician Assistant Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/0d7d-e988"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0ddf-4325",
      "title": "Hospice and Palliative Care Office Visit Costs",
      "description": "Returns hospice and palliative care office visit costs per zip code for new and established patients.",
      "keyword": [
        "Hospice and Palliative Care"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/1b686eb1b0d9d32c656ab6751b38a61d_1722902734/Hospice_and_Palliative_Care.csv",
          "mediaType": "text/csv",
          "title": "Hospice_and_Palliative_Care.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Hospice and Palliative Care Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/0ddf-4325"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Managed Care Programs by State",
      "identifier": "0e112ea8-8e8e-5dee-a7e2-7ed551c3baa4",
      "description": "Provides program names, program features, population enrolled, benefits covered, quality assurance and improvement, performance incentives, provider value-based purchasing, participating plans, regions served and program notes.",
      "accessLevel": "public",
      "issued": "2017-12-13T15:20:39Z",
      "modified": "2025-10-17T20:42:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Jeff Chamblee",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/managed-care-programs-by-state.p9c7-tuup-updated-100825-101725.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard version v3.9.137 (ETL Test)",
      "identifier": "0e155159-225c-538f-b3c7-641b965c0fb9",
      "modified": "2026-09-21T03:25:09Z",
      "distribution": [
        {
          "title": "Scorecard version v3.9.137 (ETL Test)",
          "description": "Scorecard version v3.9.137 (ETL Test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.137/20260918/version.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "category_tiles",
      "identifier": "0e203dba-396e-5f9f-a695-e702303dc713",
      "description": "Template Dataset: category_tiles",
      "accessLevel": "public",
      "issued": "2017-07-28T13:45:44Z",
      "modified": "2018-10-03T16:48:07Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Hiko Naito - TylerTech/Socrata employee",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/category-tiles.p285-wsth.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2024 Dental SHOP",
      "identifier": "0e706798-a495-4121-b1b6-feb319e39726",
      "description": "The Dental SHOP Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2024-08-06T04:00:00Z",
      "modified": "2024-08-14T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2024",
        "QHP Landscape",
        "SHOP Market Dental",
        "SADP",
        "SHOP"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "zip",
          "downloadURL": "https://data.healthcare.gov/datafile/py2024/shop_market_dental.zip"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 02-12-2024-to-02-18-2024",
      "identifier": "0f06578a-8f49-46f9-8e42-80edf20ea395",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2024-02-20T14:18:53Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 02-12-2024-to-02-18-2024",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-02-12-2024-to-02-18-2024.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          }
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0f37-cab0",
      "title": "Geriatric Psychiatry Office Visit Costs",
      "description": "Returns geriatric psychiatry office visit costs per zip code for new and established patients.",
      "keyword": [
        "Geriatric Psychiatry"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/59736d82eced8f7c476767731d285041_1722902729/Geriatric_Psychiatry.csv",
          "mediaType": "text/csv",
          "title": "Geriatric_Psychiatry.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Geriatric Psychiatry Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/0f37-cab0"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "prodAuto_files_allDownloadsSSBtn",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
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      ],
      "bureauCode": [
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      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-13T13:41:41Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "files_allDownloadsSSBtn csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/files_allDownloadsSSBtn.csv",
          "description": "{\"dataset\": \"files_allDownloadsSSBtn\", \"stage\": \"prodAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "0f4dd698-2ac9-5a6c-bbd2-c7d23f4110e8",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "0f6a-98c3",
      "title": "Surgical Oncology Office Visit Costs",
      "description": "Returns surgical oncology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Surgical Oncology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/63738d8788ddd32b29ebee631c886b01_1722902770/Surgical_Oncology.csv",
          "mediaType": "text/csv",
          "title": "Surgical_Oncology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Surgical Oncology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/0f6a-98c3"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan ID Crosswalk PUF - PY2024",
      "identifier": "0fa89e4e-e206-4b3d-bde5-c4d9246255c5",
      "description": "The Plan ID Crosswalk PUF (CW-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The purpose of the CW-PUF is to map QHPs and SADPs offered through the Exchanges during the previous plan year to plans that will be offered through the Exchanges in the current plan year.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2023-10-16T04:00:00Z",
      "modified": "2023-10-24T21:10:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2024",
        "Plan ID Crosswalk",
        "Exchange PUF",
        "Marketplace PUF"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2024/plan_id_crosswalk_PUF.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/a376c8da-efb2-4c59-9684-8fdb934d485b",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2019"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2019 payments grouped by covered recipient and nature of payments",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_CR_BY_NTR_OF_PYMT_PGYR2019_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "0ff0961f-8295-477c-8044-85b9a0753893",
      "title": "2019 payments grouped by covered recipient and nature of payments",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-01-01",
          "endDate": "2019-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Electronic Prescribing Adoption and Use by State",
      "description": "Electronic prescribing (eRx) is a key component of the meaningful use of health IT to improve health care quality and lower costs. This dataset includes national and state eRx and health information exchange activity by community pharmacies and office-based health care providers active through the Surescripts Network. Surescripts is a health information network, and ONC procured electronic prescribing activity data conducted within its network from December 2008 through April 2014. The Surescripts network is used by the majority of all U.S. community pharmacies to rout prescriptions, excluding closed systems such as Kaiser Permanente. These include chain, franchise, and independently owned pharmacies. Data for annual percentages of new and renewal prescriptions routed through the Surescripts network exclude controlled substances. You may view more information about Surescripts, contact the company, and access more network data through the company's official site.",
      "identifier": "0lydsyj1-d79k-3mnz-kwfn-imuzpx5q4tyn",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Electronic Prescribing Adoption and Use by State landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/electronic-prescribing-adoption-and-use-state"
      },
      "modified": "2014-06-01",
      "keyword": [
        "health IT",
        "electronic prescribing",
        "EHR",
        "physicians",
        "doctors",
        "health information",
        "e-prescribing",
        "state"
      ],
      "relation": [
        "https://www.healthit.gov/data/data-briefs/e-prescribing-trends-united-states",
        "https://www.healthit.gov/data/quickstats/electronic-health-record-adoption-and-electronic-prescribing"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt filters v2.10.22 (coreset-impl)",
      "identifier": "10012a8e-f16e-5acd-bc7e-209cb7aa94e2",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-15T00:14:09Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt filters v2.10.22 (coreset-impl)",
          "description": "CoreSEt filters v2.10.22 (coreset-impl)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/2.10.22/20241029/filters.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "prodAuto_brief",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
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        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-13T13:41:41Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "brief csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/brief.csv",
          "description": "{\"dataset\": \"brief\", \"stage\": \"prodAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "103806a7-aed4-5f01-ad27-c3fccbe2694a",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
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        ]
      },
      "programCode": [
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      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard TAG v0.3.1-1 (etl_test)",
      "modified": "2023-06-07T14:39:29Z",
      "distribution": [],
      "identifier": "10ebe487-2deb-5e03-88bc-9d847fca5d76",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet measure v3.9.97 (Implementation)",
      "identifier": "1109e8a3-8da6-581a-9241-52938b196807",
      "modified": "2026-08-25T18:51:45Z",
      "distribution": [
        {
          "title": "CoreSet measure v3.9.97 (Implementation)",
          "description": "CoreSet measure v3.9.97 (Implementation)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.97/20260824/measure.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_states_measures_download",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2026-02-02T20:37:24Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "states_measures_download csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20260120_e2e_ETL_DEV/states_measures_download.csv",
          "description": "{\"dataset\": \"states_measures_download\", \"stage\": \"devAuto\", \"update_id\": \"20260120_e2e_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "113f1a9c-59a6-5b84-a166-0524eeafda2b",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2014 Medical SHOP",
      "identifier": "116335a2-6251-4576-96d0-c5919817381f",
      "description": "Dataset.",
      "accessLevel": "public",
      "modified": "2025-08-01T04:00:00Z",
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/PY%202014%20Medical-SHOP-Landscape-Inst.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "EHR Products Used for Meaningful Use Attestation",
      "description": "The Medicare Electronic Health Record (EHR) Incentive Program provides incentives to eligible clinicians and hospitals to adopt electronic health records. This dataset combines meaningful use attestations from the Medicare EHR Incentive Program and certified health IT product data from the ONC Certified Health IT Product List (CHPL) to identify the unique vendors, products, and product types of each certified health IT product used to attest to meaningful use. The dataset also includes important provider-specific data, related to the provider's participation and status in the program, unique provider identifiers, and other characteristics unique to each provider, like geography and provider type.",
      "identifier": "11c83d84-83c1-4310-963f-2134f953943b",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "EHR Products Used for Meaningful Use Attestation landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/ehr-products-used-meaningful-use-attestation"
      },
      "modified": "2019-01-10",
      "accrualPeriodicity": "monthly",
      "keyword": [
        "health IT",
        "health information technology",
        "ehrs",
        "electronic health records",
        "certified",
        "interoperability"
      ],
      "relation": [
        "https://www.healthit.gov/data/quickstats/health-care-professional-health-it-developers",
        "https://www.healthit.gov/data/quickstats/hospital-health-it-developers",
        "https://www.healthit.gov/data/apps/ehr-vendors-reported-hospitals-demonstrating-meaningful-use",
        "https://www.healthit.gov/data/apps/ehr-vendors-reported-office-based-providers-demonstrating-meaningful-use"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet measure v2.11.19-test (local)",
      "identifier": "13793c80-067b-5cf9-a0aa-751c387a10d4",
      "modified": "2025-02-05T11:58:35Z",
      "distribution": [
        {
          "title": "CoreSet measure v2.11.19-test (local)",
          "description": "CoreSet measure v2.11.19-test (local)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/2.11.19-test/20241107/measure.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2011",
      "identifier": "138872f1-b1ba-5e05-be13-8be200306a58",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T12:34:21Z",
      "modified": "2026-04-03T05:58:16Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2011.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2022-02-21 to 2022-02-27",
      "identifier": "139ad317-b64b-4db4-b76b-3eff03fc7abd",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-10-20T12:07:44Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rpt-drugs-feb-02-21-2022-02-27-2022-102025.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet spa v3.9.119 (ETL Test)",
      "identifier": "142031c0-4177-542e-b77e-e74a00fd63d1",
      "modified": "2026-09-22T20:25:28Z",
      "distribution": [
        {
          "title": "CoreSet spa v3.9.119 (ETL Test)",
          "description": "CoreSet spa v3.9.119 (ETL Test)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.119/20260901/spa.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSEt version v2.10.6 (coreset-etl-test)",
      "modified": "2024-10-24T17:56:15Z",
      "distribution": [
        {
          "title": "CoreSEt version v2.10.6 (coreset-etl-test)",
          "description": "CoreSEt version v2.10.6 (coreset-etl-test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.6/20241023/version.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "142041ba-885c-517e-be08-53cc86a13f9a",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "2004 Physician Fee Schedule Data",
      "distribution": [
        {
          "title": "Localities table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2004.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "14563838-21b8-4c75-8076-475afda99180",
      "keyword": [
        "2004",
        "localities"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2004-01-01",
          "endDate": "2004-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2004",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Quality PUF - PY2025",
      "identifier": "147e50d3-7710-4706-a7c8-796413ef459d",
      "description": "The Quality PUF contains 2024 quality ratings data for eligible Qualified Health Plans in PY2025 in states on HealthCare.gov. Access the Quality PUF and Data Dictionary directly @ https://www.cms.gov/files/zip/quality-puf-py2025zip.zip",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "describedBy": {
        "@type": "Distribution",
        "accessURL": "https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/QualityInitiativesGenInfo/ACA-MQI/Downloads/MQI-Downloads",
        "title": "cms.gov"
      },
      "issued": "2024-10-24T04:00:00Z",
      "modified": "2024-10-24T04:00:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Mei Zhang",
        "hasEmail": "mailto:mei.zhang@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Quality PUF 2025 Data",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/Quality%20PUF%20October%202024.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/bba3b8d8-064c-4d80-8a6f-49e4e8fce517",
            "title": "data.healthcare.gov"
          },
          "_update": "2026-04-10"
        },
        {
          "@type": "Distribution",
          "title": "Quality PUF 2025 Data Dictionary",
          "format": "xlsx",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/Quality%20PUF%20Data%20Dictionary%20October%202024.xlsx",
          "describedBy": {
            "@type": "Distribution",
            "accessURL": "https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/QualityInitiativesGenInfo/ACA-MQI/Downloads/MQI-Downloads",
            "title": "cms.gov"
          }
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 10-13-2025-to-10-19-2025",
      "identifier": "14856bbd-1987-4385-a05f-d98071f5948a",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-10-27T18:01:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-10-13-2025-to-10-19-2025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2025 Child and Adult Health Care Quality Measures Quality",
      "identifier": "14bc26c3-5584-4032-9175-f3a0399cb206",
      "description": "Performance rates on publicly reported health care quality measures in the CMS Medicaid/CHIP Child and Adult Core Sets, for 2025 reporting.\n\nSources: Mathematica analysis of (1) Quality Measure Reporting (QMR) system reports, (2) Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) data; and (3) National Core Indicators (NCI) data submitted by states to the National Association of State Directors of Developmental Disabilities Services (NASDDDS) and the Human Services Research Institute (HSRI) (The NCI National Team) through the Online Data Entry System (ODESA). Agency for Healthcare Research and Quality (AHRQ) and Centers for Medicare &amp; Medicaid Services (CMS) analysis of the AHRQ CAHPS Database. Dataset revised September 2026. For more information, see the Children's Health Care Quality Measures and Adult Health Care Quality Measures webpages.",
      "accessLevel": "public",
      "modified": "2026-09-22T11:26:02Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Quality"
      ],
      "keyword": [
        "Performance Rates",
        "Core Sets",
        "Quality Measures"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/2025-child-and-adult-health-care-quality-measures.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "featAuto_measure_allStates",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-09-25T14:18:32Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_featAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_allStates csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20250924_ETL_DEV/measure_allStates.csv",
          "description": "{\"dataset\": \"measure_allStates\", \"stage\": \"featAuto\", \"update_id\": \"20250924_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "156125e3-48b1-5d33-a5e5-9191a9588a66",
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      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq",
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      "contactPoint": {
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    {
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    {
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      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
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      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
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      "distribution": [
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    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 1995",
      "identifier": "17c4bf03-ba38-5c0a-9f08-96e9ed812bdf",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T14:19:51Z",
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      "inventoried": "2026-09-27"
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    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 07-06-2026 to 07-12-2026",
      "identifier": "188cac7a-e888-4837-9582-a297a7ef71db",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
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    {
      "@type": "Dataset",
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      "description": "The Reference Document link for the downloadable Blood Disorder Treatment Spreadsheet can be accessed below under the Additional Information table under Related Documents.",
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    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 11-24-2025-to-11-30-2025",
      "identifier": "19244215-9767-43ae-b436-0d5b1250c0a1",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
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      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
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      "keyword": [
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        "https://www.mathematica.org/"
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      "title": "Scorecard pillar v3.9.137 (CMS Development)",
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        {
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          "description": "Scorecard pillar v3.9.137 (CMS Development)",
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    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 12-01-2025-to-12-07-2025",
      "identifier": "199ef06d-59ba-493f-8394-bc598756eb49",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
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      "distribution": [
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          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-12-01-2025-to-12-07-2025.csv",
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      ],
      "keyword": [
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      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet filters v3.1.7 (etl-test)",
      "identifier": "1a05ec18-59b9-5d39-a2aa-1e642ca1e192",
      "modified": "2025-03-21T18:15:21Z",
      "distribution": [
        {
          "title": "CoreSet filters v3.1.7 (etl-test)",
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          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.1.7/20250110/filters.csv",
          "mediaType": "text/csv",
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      ],
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Indicators for 2025",
      "identifier": "1a4e7cb4-65db-48fd-8250-a64a3cc6e583",
      "description": "2025: The CY 2025 Medicare Physician Fee Schedule has been updated by the annual PFS Final Rule for various new policies and for new and existing CPT/HCPCS codes for this latest calendar year, which becomes effective starting January 1, 2025, with PFS conversion factor of $32.3465.",
      "accessLevel": "public",
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      "issued": "2025-01-01",
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      "distribution": [
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          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2025-09-23-2025.csv",
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      "inventoried": "2026-09-27"
    },
    {
      "title": "prodAuto_measure_concernLevel",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
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        "dqatlas_prodAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
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      "distribution": [
        {
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    {
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      "title": "Medicaid CMS-64 CAA 2023 Increased FMAP Expenditure Data Collected through MBES/CBES",
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      "description": "Notes:\n1. CAA 2023 provides a temporary 5.0 percentage point FMAP increase to each qualifying state and territory's FMAP under section 1905(b) of the Act, beginning April 1, 2023 through June 30, 2023.\t\t\t\t\t\t\t\n2. CAA 2023 provides a temporary 2.5 percentage point FMAP increase to each qualifying state and territory's FMAP under section 1905(b) of the Act, beginning July 1, 2023 through September 30, 2023.\t\t\t\t\t\t\t\n3. CAA 2023 provides a temporary 1.5 percentage point FMAP increase to each qualifying state and territory's FMAP under section 1905(b) of the Act, beginning October 1, 2023 through December 31, 2023.\t\t\t\t\t\t\t\n4. States that have reported “0” either have no expenditures for that reporting category or have not yet reported expenditures for that category. \t\t\t\t\t\t\t\n5. This report is a cumulative summary report that includes current and prior period adjustment expenditures that apply to this quarter and does not include Collections or Overpayment Recoveries.",
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      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
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          "description": "CoreSet pillar v3.1.24 (feature-dev)",
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        "https://www.mathematica.org/"
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      "modified": "2025-11-25T21:01:23Z",
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      "identifier": "1c14e5e3-b3d9-5cc7-abcb-9004cf2ce33b",
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    },
    {
      "@type": "Dataset",
      "title": "NADAC (National Average Drug Acquisition Cost) 2017",
      "identifier": "1c5d0fc9-693a-534a-8240-4627d9362b0d",
      "description": "National Average Drug Acquisition Cost (NADAC) weekly reference data for the calendar year.",
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      "issued": "2014-11-07T15:54:00Z",
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      "contactPoint": {
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        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
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      "keyword": [
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          "mediaType": "text/csv",
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    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 06-08-2026 to 06-14-2026",
      "identifier": "1c6d8464-2cb2-4d91-80b1-7c56e3f74089",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
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      },
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      },
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      "distribution": [
        {
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          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-06-08-2026-to-06-14-2026.csv",
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            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 12-15-2025-to-12-21-2025",
      "identifier": "1c853fe0-28c0-43f9-a7ac-26d28c3633c2",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
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      ],
      "distribution": [
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            "title": "data.medicaid.gov"
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Network PUF - PY2025",
      "identifier": "1cec574b-9353-41cf-9c81-b7c49c482bb2",
      "description": "The Network PUF (Ntwrk-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The Ntwrk-PUF contains issuer-level data identifying provider network URLs.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2025-08-06T04:00:00Z",
      "modified": "2025-08-12T13:30:00Z",
      "publisher": {
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        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Network",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2025"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2025/network_PUF.csv",
          "describedBy": {
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            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/60ed5f1e-195d-4027-9073-7a4b6254e823",
            "title": "data.healthcare.gov"
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        }
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      ],
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
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      ],
      "programCode": [
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      "accessLevel": "public",
      "keyword": [
        "all years"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "Reporting entity profile information",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_RPTG_ORG_PRFL_SRCH_P06302026_06032026.csv",
          "@type": "Distribution",
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      ],
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      "issued": "2026-06-30",
      "modified": "2026-06-30",
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      "theme": [
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      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 08-24-2026 to 08-30-2026",
      "identifier": "1d2ae046-e68a-4c4a-b864-05a4a1b4bfaa",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2026-08-31T14:23:12Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-08-24-2026-to-08-30-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Pricing Comparison for Blood Disorder Treatments (Pricing as of 6/1/2022)",
      "identifier": "1d3ffff8-2cf5-4cc9-a820-5879e957caa2",
      "description": "The Reference Document link for the downable Blood Disorder Treatment Spreadsheet can be accessed below under the Additional Information table under Related Documents.",
      "accessLevel": "public",
      "modified": "2022-12-20T16:22:13Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Drug Products"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/Clotting-Factor-Jun2022.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/59dd7ad8-ff7a-4f9d-a1c2-a26bf13bf9b4",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "references": [
        "https://download.medicaid.gov/data/Spreadsheet_Footnotes.pdf"
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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      },
      "programCode": [
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      "bureauCode": [
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      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard version v3.1.16 (feature-dev)",
      "identifier": "1d5fe014-6777-5ba1-bc4d-724beda8d465",
      "modified": "2025-04-16T10:09:05Z",
      "distribution": [
        {
          "title": "Scorecard version v3.1.16 (feature-dev)",
          "description": "Scorecard version v3.1.16 (feature-dev)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.1.16/20250210/version.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
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      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "Physician Fee Schedule - March 2012 release. This file contains the revisions identified in the Middle Class Tax Relief and Job Creation Act of 2012 (MCTRJCA). Medicare payment rates under the Medicare Physician Fee Schedule (MPFS) are set according to statutory criteria. The following 2012 MPFS payment rates are reflective of the CY 2012 Medicare Physician Fee Schedule Final Rule, which was published in the Federal Register on November 28, 2011, and the CY 2012 Medicare Physician Fee Schedule Final Rule Correction Notice, which was published in the Federal Register on January 4, 2012. These payment rates are based on current law, including the Middle Class Tax Relief and Job Creation Act of 2012 (MCTRJCA), which provides for a zero percent update through December 31, 2012. The MCTRJCA extends several provisions of the Temporary Payroll Tax Cut Continuation Act of 2011 (TPTCCA). Please note that MCTRJCA does NOT extend add-on payments for mental health services and minimum payment for bone mass measurement (sections 307 and 309 of the TPTCCA, respectively). As such, effective March 1, 2012, the MPFS payment rates for these services have changed. 2012A: Medicare payment rates under the Medicare Physician Fee Schedule (MPFS) are set according to statutory criteria. The following 2012 MPFS payment rates are reflective of the CY 2012 Medicare Physician Fee Schedule Final Rule, which was published in the Federal Register on November 28, 2011, and the CY 2012 Medicare Physician Fee Schedule Final Rule Correction Notice that was put on display at the Office of the Federal Register on December 30, 2011. These payment rates are based on current law, including the Temporary Payroll Tax Cut Continuation Act of 2011, which provides for a zero percent update for the period of January 1, 2012 to February 29, 2012. The Centers for Medicare and Medicaid Services will work quickly to update MPFS payment rates in the event Congress passes legislation to prevent the negative update from going into effect on March 1, 2012. Please be on the alert for more information about the 2012 physician update as it becomes available.",
      "distribution": [
        {
          "title": "Localities table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities212b.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "1d768654-dc78-4143-b997-b5ce9f9a8ff9",
      "keyword": [
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        "localities"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
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      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
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      "temporal": [
        {
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          "startDate": "2012-07-01",
          "endDate": "2012-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2012B",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2010",
      "identifier": "1db0f12c-e4d6-5a70-8c1b-5af9635999be",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T12:35:21Z",
      "modified": "2026-04-03T15:49:50Z",
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      "publisher": {
        "@type": "Organization",
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        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2010.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2022-02-14 to 2022-02-20",
      "identifier": "1e1fd4d7-e872-4613-b40a-268815c7dabe",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2022-02-22T16:35:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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        "subOrganizationOf": [
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rpt-drugs-feb-02-14-2022-02-20-2022_1_0.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
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      ],
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      "inventoried": "2026-09-27"
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      },
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      "bureauCode": [
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      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard TAG v0.2.4-1 (dev0)",
      "identifier": "1e34c475-7147-5318-838f-a31ed3fcff9b",
      "modified": "2023-05-22T10:55:35Z",
      "distribution": [],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2026 Dental SHOP ",
      "identifier": "1e4852dd-a489-4ef0-ab71-b424bfca516e",
      "description": "The Dental SHOP Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment. ",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2026-08-04T04:00:00Z",
      "modified": "2026-08-10T14:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "SHOP",
        "SADP",
        "SHOP Market Dental",
        "QHP Landscape",
        "PY2026"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "zip",
          "downloadURL": "https://data.healthcare.gov/datafile/py2026/shop_market_dental.zip",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Indicators for 2024B",
      "identifier": "1ea4bd37-a2ed-4608-b27d-809699d37f82",
      "description": "The CY 2024 Medicare Physician Fee Schedule has been updated by the annual PFS Final Rule for various new policies and for new and existing CPT/HCPCS codes.  For January 1, 2024, through March 8, 2024, the PFS conversion factor is $32.7442.  For March 9, 2024, through December 31, 2024, the CY 2024 Medicare Physician Fee Schedule has been updated by new legislation that revises the PFS conversion factor to $33.2875.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P3M",
      "issued": "2024-07-01",
      "modified": "2024-10-01",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2024-03-09",
          "endDate": "2024-12-31"
        }
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "keyword": [
        "indicators",
        "2024B"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "description": "https://pfs.data.cms.gov/sites/default/files/data/indicators2024B-09-18-2024.csv",
          "format": "csv",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2024B-09-18-2024.csv"
        }
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": " For January 1, 2015 through March 31, 2015, the PFS update was set at 0.0 percent by the Protecting Access to Medicare Act. After applying the budget neutrality adjustment of 0.9981, the conversion factor for January 1, 2015, through March 31, 2015 is $35.7547. Under the provisions of current law regarding the SGR, the conversion factor will change to $28.1872 on April 1, 2015 in the absence of Congressional action. In addition, the geographic practice cost index work floor of 1.0 expires on March 31, 2015 in the absence of legislative action.",
      "distribution": [
        {
          "title": "Localities table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities215a.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "1ecb185c-1ded-4003-a7ea-79850d80900f",
      "keyword": [
        "2015A",
        "localities"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-01",
          "endDate": "2015-06-30T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2015A",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "@type": "Organization",
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          }
        ]
      },
      "programCode": [
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      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet filters v3.3.4 (etl-test)",
      "identifier": "1f5e943d-095b-567f-9aa0-ddc34210ea32",
      "modified": "2025-05-05T20:57:36Z",
      "distribution": [
        {
          "title": "CoreSet filters v3.3.4 (etl-test)",
          "description": "CoreSet filters v3.3.4 (etl-test)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.3.4/20250110/filters.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2020"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2020 payments grouped by covered recipient and nature of payments",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_CR_BY_NTR_OF_PYMT_PGYR2020_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "1fd2be47-cb72-435a-b2df-142f38e99a05",
      "title": "2020 payments grouped by covered recipient and nature of payments",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-01",
          "endDate": "2020-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NADAC (National Average Drug Acquisition Cost) 2013",
      "identifier": "1fe73992-cbfd-5109-97bc-dee8b33fdcff",
      "description": "National Average Drug Acquisition Cost (NADAC) weekly reference data for the calendar year.",
      "accessLevel": "public",
      "issued": "2014-11-07T15:54:00Z",
      "modified": "2021-08-23T18:00:05Z",
      "license": "https://www.usa.gov/government-works",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "@type": "Organization",
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          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "National Average Drug Acquisition Cost (NADAC)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/nadac-national-average-drug-acquisition-cost.a4y5-998d.1fe73992-cbfd-5109-97bc-dee8b33fdcff.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/f6868b6f-7ac0-4438-ba0b-2f8e5555123f",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 20210802 to 20210808",
      "identifier": "1fee67f0-ee42-4cf5-b764-4bf7e2610fe0",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2021-10-13T07:42:04Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rpt-drugs-aug-20210802-to-20210808.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Patient Engagement PPS-Exempt Cancer Hospital - Hospital",
        "accessURL": "https://data.cms.gov/provider-data/dataset/1su6-zfft"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2026-07-22",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Cancer",
        "PPS-Exempt Cancer Hospital Quality Reporting",
        "Patient Engagement"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "1su6-zfft",
      "description": "This measure assesses goals of care discussion documentation among patients with cancer who die while receiving care at the reporting PCH. Goals of care discussions are discussions between patients with advanced cancer and the oncology team. These discussions can inform future treatment decisions that account for, and are responsive to, the interests expressed by patients.",
      "title": "Patient Engagement PPS-Exempt Cancer Hospital - Hospital",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/1ee80985ad5e9a217dd0208b0e0d4b78_1785189979/PCH_Patient_Engagement_Hospital.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "200-2026-F-20748",
      "title": "Virtual SARS-CoV-2, Influenza, and Other respiratory viruses Network (VISION 2.3)",
      "description": "Support the continuation of the VISION 2.0 healthcare facility-based cohort by coordinating activities for two participating sites, updating and implementing all required project artifacts, including study protocols, IRB approvals, and data management plans. Facilitate the collection of EHR data to identify pediatric and adult patients tested for or infected with SARS-CoV-2, influenza, and RSV, and support the integration of VISION 2.0 and VISION 2.3 datasets for surveillance and research activities.\n\nUnique focus: Building and managing a longitudinal healthcare facility cohort.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:visionproject@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD) Coronavirus and Other Respiratory Viruses Division (CORVD), Influenza Division (ID)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Westat"
        }
      ],
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "2007 Hospital CAHPS Adult 1.0 Datasets for CAHPS Surveys;https://www.ahrq.gov/cahps/cahps-database/research-datasets/index.html",
      "title": "2007 Hospital CAHPS Adult 1.0 Datasets for CAHPS Surveys",
      "description": "The CAHPS Databases currently include respondent- and organization-level data from the Hospital CAHPS Survey",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "The CAHPS Databases",
          "hasEmail": "mailto:CeciliaHahn@ahrq.hhs.gov"
        },
        {
          "@type": "Kind",
          "fn": "The CAHPS Databases",
          "hasEmail": "mailto:AskAHRQ@ahrq.hhs.gov"
        },
        {
          "@type": "Kind",
          "fn": "The CAHPS Databases",
          "hasEmail": "mailto:CAHPSDatabase@westat.com"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Quality Improvement and Patient Safety (CQuIPS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Agency for Healthcare Research and Quality (AHRQ)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "restricted public",
      "modified": "2006-10-01",
      "issued": "2007-09-30",
      "keyword": [
        "Hospital",
        "CAHPS",
        "survey",
        "data",
        "dataset",
        "patient experience",
        "de-identified"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.ahrq.gov/cahps/cahps-database/research-datasets/index.html",
        "title": "Research Datasets for 2007 Hospital CAHPS Survey"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Agency for Healthcare Research and Quality (AHRQ)"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "Hospital CAHPS Survey"
        }
      ],
      "rights": [
        "If the central purpose of the study is NOT for research. Valid purposes for using de-identified data do NOT include the use of data for public reporting, proprietary, commercial, or competitive purposes, or to determine the rights, benefits, or privileges of organizations participating in a Database. An example of commercial or competitive purposes includes, but is not limited to, combining the requested Database data with other data sources to report together for commercial or public reporting purposes."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Agency for Healthcare Research and Quality (AHRQ)"
      },
      "status": "completed",
      "accrualPeriodicity": "annually",
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        "@type": "Document",
        "accessURL": "https://www.ahrq.gov/cahps/cahps-database/research-datasets/index.html",
        "title": "Research Datasets for 2007 Hospital CAHPS Survey"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Research Datasets for 2007 Hospital CAHPS Surveys",
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          "format": "SAS",
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            "DRA/DRP"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.ahrq.gov/cahps/cahps-database/research-datasets/index.html",
            "title": "Research Datasets for 2007 Hospital CAHPS Surveys"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "restricted - fully",
              "specificRestriction": "AHRQ confidentiality statute, Section 944(c) of the Public Health Service Act (42 U.S.C. 299c-3(c)), and AHRQ Confidentiality Agreement for Data Requesters for Research Purposes",
              "restrictionNote": "De-identified respondent-level data files from the Hospital CAHPS Survey Database granted by written request"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "restricted - fully"
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Annual Research Datasets for CAHPS Surveys",
          "description": "This dataset series comprises research datasets from the Agency for Healthcare Research and Quality’s (AHRQ) Consumer Assessment of Healthcare Providers and Systems (CAHPS®) program. CAHPS surveys collect information from patients and consumers about their experiences with healthcare, including experiences with health plans, providers, and healthcare facilities. The surveys address aspects of healthcare quality that consumers are well positioned to assess, such as provider communication and access to healthcare services, and support comparisons across healthcare entities and over time."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2022",
      "identifier": "200c2cba-e58d-4a95-aa60-14b99736808d",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq",
      "accessLevel": "public",
      "issued": "2022-08-12T12:09:06Z",
      "modified": "2026-07-13T15:54:01Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/sdud2022_updatedJuly2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "2018 SOPS Hospital 1.0 Survey De-identified Research Datasets;https://www.ahrq.gov/sops/databases/research-datasets.html",
      "title": "2018 SOPS Hospital 1.0 Survey De-identified Research Datasets",
      "description": "De-identified respondent- and organization-level data from the SOPS Hospital 1.0 Survey Database",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "The SOPS Databases",
          "hasEmail": "mailto:CeciliaHahn@ahrq.hhs.gov"
        },
        {
          "@type": "Kind",
          "fn": "The SOPS Databases",
          "hasEmail": "mailto:AskAHRQ@ahrq.hhs.gov"
        },
        {
          "@type": "Kind",
          "fn": "The SOPS Databases",
          "hasEmail": "mailto:SOPSResearchData@westat.com"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Quality Improvement and Patient Safety (CQuIPS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Agency for Healthcare Research and Quality (AHRQ)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "restricted public",
      "modified": "2018-05-07",
      "issued": "2018-05-07",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "SOPS Data"
        }
      ],
      "keyword": [
        "SOPS",
        "2021",
        "Hospital 1.0 Survey",
        "de-identified data",
        "patient safety",
        "patient safety culture"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.ahrq.gov/sops/databases/research-datasets.html",
        "title": "2018 SOPS Hospital 1.0 Survey De-identified Research Datasets"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Agency for Healthcare Research and Quality (AHRQ)"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "SOPS Hospital 1.0 Survey"
        }
      ],
      "rights": [
        "Restricted-access research dataset. Subject to a Confidentiality Agreement. Access is limited to approved researchers who have obtained any necessary authorizations from participating organizations and approval from AHRQ/Westat. The data made available may vary by requester based on participating organization authorization. Data may be used only for approved research purposes and may not be released, disclosed, or used except as authorized under the applicable confidentiality agreement."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Agency for Healthcare Research and Quality (AHRQ)"
      },
      "status": "completed",
      "accrualPeriodicity": "biannually",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.ahrq.gov/sops/databases/research-datasets.html",
        "title": "2018 SOPS Hospital 1.0 Survey De-identified Research Datasets"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2018 SOPS Hospital 1.0 Survey De-identified Research Datasets",
          "description": "De-identified respondent- and organization-level data from the SOPS Hospital 1.0 Survey Database",
          "format": "SAS",
          "mediaType": "SAS",
          "rights": [
            "Subject to the AHRQ SOPS Database De-identified Data Release Agreement."
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.ahrq.gov/sops/databases/research-datasets.html",
            "title": "2018 SOPS Hospital 1.0 Survey De-identified Research Datasets"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "restricted - fully",
              "specificRestriction": "AHRQ SOPS Database De-identified Data Release Agreement (DRA) governing access and use of data for approved research purposes",
              "restrictionNote": "Aggregate reports and summary statistics are publicly available; De-identified data files are available to researchers with an AHRQ-approved Research Abstract who have executed the required Data Release Agreement. Access is limited to authorized users, and data may be used only for the purposes described in the approved Research Abstract."
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "restricted - fully"
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Bi-annual Research Datasets for SOPS Surveys",
          "description": "This dataset series comprises research datasets from the Agency for Healthcare Research and Quality’s (AHRQ) Surveys on Patient Safety Culture® (SOPS®) Program. The datasets contain survey data submitted to the AHRQ SOPS Databases and support research on patient safety culture in healthcare settings. The series includes data from SOPS surveys for hospitals, medical offices, nursing homes, community pharmacies, and ambulatory surgery centers. Research datasets may be available as de-identified data files, with hospital-identifiable data available under additional requirements for the SOPS Hospital Survey."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "2019 Clinician & Group Adult 3.0 Datasets for CAHPS Surveys;https://www.ahrq.gov/cahps/cahps-database/research-datasets/index.html",
      "title": "2019 Clinician & Group Adult 3.0 Datasets for CAHPS Surveys",
      "description": "The CAHPS Databases currently include respondent- and organization-level data from the CG CAHPS Survey Database",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "The CAHPS Databases",
          "hasEmail": "mailto:CeciliaHahn@ahrq.hhs.gov"
        },
        {
          "@type": "Kind",
          "fn": "The CAHPS Databases",
          "hasEmail": "mailto:AskAHRQ@ahrq.hhs.gov"
        },
        {
          "@type": "Kind",
          "fn": "The CAHPS Databases",
          "hasEmail": "mailto:CAHPSDatabase@westat.com"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Quality Improvement and Patient Safety (CQuIPS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Agency for Healthcare Research and Quality (AHRQ)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "restricted public",
      "modified": "2019-01-01",
      "issued": "2020-06-30",
      "keyword": [
        "CAHPS",
        "survey",
        "data",
        "dataset",
        "patient experience",
        "de-identified",
        "Clinician & Group"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.ahrq.gov/cahps/cahps-database/research-datasets/index.html",
        "title": "Research Datasets for 2019 CG CAHPS Survey"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Agency for Healthcare Research and Quality (AHRQ)"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "CAHPS Clinician & Group Survey"
        }
      ],
      "rights": [
        "If the central purpose of the study is NOT for research. Valid purposes for using de-identified data do NOT include the use of data for public reporting, proprietary, commercial, or competitive purposes, or to determine the rights, benefits, or privileges of organizations participating in a Database. An example of commercial or competitive purposes includes, but is not limited to, combining the requested Database data with other data sources to report together for commercial or public reporting purposes."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Agency for Healthcare Research and Quality (AHRQ)"
      },
      "status": "completed",
      "accrualPeriodicity": "annually",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.ahrq.gov/cahps/cahps-database/research-datasets/index.html",
        "title": "Research Datasets for 2019 CG CAHPS Survey"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Research Datasets for 2019 Clinician & Group (CG) CAHPS Surveys",
          "description": "The CAHPS Databases currently include respondent-level and organization-level data from the CG CAHPS Survey Database",
          "format": "SAS",
          "mediaType": "SAS",
          "rights": [
            "DRA/DRP"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.ahrq.gov/cahps/cahps-database/research-datasets/index.html",
            "title": "Research Datasets for 2019 Clinician & Group (CG) CAHPS Surveys"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "restricted - fully",
              "specificRestriction": "AHRQ confidentiality statute, Section 944(c) of the Public Health Service Act (42 U.S.C. 299c-3(c)), and AHRQ Confidentiality Agreement for Data Requesters for Research Purposes",
              "restrictionNote": "De-identified respondent-level data files from the CG CAHPS Survey Database granted by written request"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "restricted - fully"
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Annual Research Datasets for CAHPS Surveys",
          "description": "This dataset series comprises research datasets from the Agency for Healthcare Research and Quality’s (AHRQ) Consumer Assessment of Healthcare Providers and Systems (CAHPS®) program. CAHPS surveys collect information from patients and consumers about their experiences with healthcare, including experiences with health plans, providers, and healthcare facilities. The surveys address aspects of healthcare quality that consumers are well positioned to assess, such as provider communication and access to healthcare services, and support comparisons across healthcare entities and over time."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "2019 SOPS Community Pharmacy Survey De-identified Research Datasets;https://www.ahrq.gov/sops/databases/research-datasets.html",
      "title": "2019 SOPS Community Pharmacy Survey De-identified Research Datasets",
      "description": "De-identified respondent- and organization-level data from the SOPS Community Pharmacy Survey Database",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "The SOPS Databases",
          "hasEmail": "mailto:CeciliaHahn@ahrq.hhs.gov"
        },
        {
          "@type": "Kind",
          "fn": "The SOPS Databases",
          "hasEmail": "mailto:AskAHRQ@ahrq.hhs.gov"
        },
        {
          "@type": "Kind",
          "fn": "The SOPS Databases",
          "hasEmail": "mailto:SOPSResearchData@westat.com"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Quality Improvement and Patient Safety (CQuIPS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Agency for Healthcare Research and Quality (AHRQ)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "restricted public",
      "modified": "2019-03-05",
      "issued": "2019-03-05",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "SOPS Data"
        }
      ],
      "keyword": [
        "SOPS",
        "2019",
        "Community Pharmacy Survey",
        "de-identified data",
        "patient safety",
        "patient safety culture"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.ahrq.gov/sops/databases/research-datasets.html",
        "title": "2019 SOPS Community Pharmacy Survey De-identified Research Datasets"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Agency for Healthcare Research and Quality (AHRQ)"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "SOPS Community Pharmacy Survey"
        }
      ],
      "rights": [
        "Restricted-access research dataset. Subject to a Confidentiality Agreement. Access is limited to approved researchers who have obtained any necessary authorizations from participating organizations and approval from AHRQ/Westat. The data made available may vary by requester based on participating organization authorization. Data may be used only for approved research purposes and may not be released, disclosed, or used except as authorized under the applicable confidentiality agreement."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Agency for Healthcare Research and Quality (AHRQ)"
      },
      "status": "completed",
      "accrualPeriodicity": "notPlanned",
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      ],
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    },
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          "hasEmail": "mailto:francine.barnett@ihs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Human Resources",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Indian Health Service (IHS)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.tloxp.com",
        "title": "tloxp.com"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Transunion/TLOxp"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "Private vendor"
        }
      ],
      "creator": {
        "@type": "Agent",
        "name": "Transunion/TLOxp"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "N/A",
          "type": "purchased data asset ID"
        }
      ],
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "2026-8-13-C",
      "title": "Economic Research Institute",
      "description": "Subscription provides access to salary survey data",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Erika Honey",
          "hasEmail": "mailto:Erika.Honey@ihs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Human Resources",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Indian Health Service (IHS)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.erieri.com/",
        "title": "erieri.com"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Economic Research Institute"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "Private vendor"
        }
      ],
      "creator": {
        "@type": "Agent",
        "name": "Economic Research Institute"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "N/A",
          "type": "purchased data asset ID"
        }
      ],
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "2026-8-13-D",
      "title": "Facility Locator",
      "description": "Identifies the Indian Health Service, Tribal or Urban Indian Health program facilities that reside within a specific region.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Kirk Greenway, Office of Public Health Support (OPHS), IHS",
          "hasEmail": "mailto:Kirk.greenway@ihs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Information Technology/ Data Management & Analytics Division",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Indian Health Service (IHS)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2013-07-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Reference Data"
        }
      ],
      "keyword": [
        "locations of care (hospitals",
        "health care centers",
        "etc)"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://catalog.data.gov/dataset/ihs-facility-locator?from_hint=eyJxIjoiIiwic29ydCI6InJlbGV2YW5jZSIsInJlc3VsdHMiOiI4MCIsInNsdWciOiJoaHMifQ%3D%3D",
        "title": "The Home of the U.S. Government's Open Data"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Indian Health Service (IHS)"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "Indian Health Service (IHS)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://data.gov",
        "title": "The Home of the U.S. Government's Open Data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Facility Locator",
          "description": "Data is downloadable as xls, html.",
          "accessURL": "https://catalog.data.gov/dataset/ihs-facility-locator?from_hint=eyJxIjoiIiwic29ydCI6InJlbGV2YW5jZSIsInJlc3VsdHMiOiI4MCIsInNsdWciOiJoaHMifQ%3D%3D",
          "downloadURL": "https://catalog.data.gov/dataset/ihs-facility-locator?from_hint=eyJxIjoiIiwic29ydCI6InJlbGV2YW5jZSIsInJlc3VsdHMiOiI4MCIsInNsdWciOiJoaHMifQ%3D%3D",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted",
              "specificRestriction": "NA",
              "restrictionNote": "NA"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "2026-8-13-E",
      "title": "IHS Enterprise Reference Tables",
      "description": "A uniform listing of approved codes sets from the Indian Health Service (IHS) Standard Code Book. The Standard Code Book includes descriptive terms and identifying codes for recording and reporting medical information collected during the provision of health care services. A standard set of codes provides the means for reliable communication between Indian Health Service providers, patients, and third parties (e.g., contract health service providers).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Kirk Greenway, Office of Public Health Support (OPHS), IHS",
          "hasEmail": "mailto:kirk.greenway@ihs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Information Technology/ Data Management & Analytics Division",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Indian Health Service (IHS)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Reference Data"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.ihs.gov/scb",
        "title": "Standard Code Book"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Indian Health Service (IHS)"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "Indian Health Service (IHS)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.ihs.gov/scb/standard-code-book-tables/",
        "title": "Standard Code Book"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Standard Code Book Tables",
          "description": "Data is downloadable as PDF, xls/xlsx.",
          "accessURL": "https://www.ihs.gov/scb",
          "downloadURL": "https://www.ihs.gov/scb/standard-code-book-tables/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "2026-8-13-F",
      "title": "OIT Standard Code Set",
      "description": "Standard code sets approved by the Office of Information Technology (OIT), but not currently adopted for the IHS Standard Code Book. These are additional uniform listings of codes within the Resource and Patient Management System (RPMS) used for recording and reporting medical information collected during the provision of health care services.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Brian Burrell, Office of Information Technology, IHS",
          "hasEmail": "mailto:brian.burrell@ihs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Information Technology/ Data Management & Analytics Division",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Indian Health Service (IHS)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Reference Data"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.ihs.gov/scb",
        "title": "Standard Code Book"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Indian Health Service (IHS)"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "Indian Health Service (IHS)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.ihs.gov/scb/oit-standard-code-set-tables/",
        "title": "OIT Standard Code Book/ OIT Standard Code Set Tables"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "OIT Standard Code Set Tables",
          "description": "Data is downloadable as xls/xlsx, delimited, csv.",
          "accessURL": "https://www.ihs.gov/scb",
          "downloadURL": "https://www.ihs.gov/scb/oit-standard-code-set-tables/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "2026-8-13-G",
      "title": "Industry Standard Code Sets",
      "description": "Industry standard code sets that provide direction and guidance on provisioning data to the IHS National Data Warehouse.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Brian Burrell, Office of Information Technology, IHS",
          "hasEmail": "mailto:brian.burrell@ihs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Information Technology/ Data Management & Analytics Division",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Indian Health Service (IHS)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Reference Data"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.ihs.gov/scb",
        "title": "Industry Standard Code Set Access Tables"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Indian Health Service (IHS)"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "Indian Health Service (IHS)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.ihs.gov/scb/industry-standard-code-set-access-tables/",
        "title": "Industry Standard Code Set Access Tables"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Industry Standard Code Set Access Tables",
          "description": "HTML, urls to various web sites.",
          "accessURL": "https://www.ihs.gov/scb",
          "downloadURL": "https://www.ihs.gov/scb/industry-standard-code-set-access-tables/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "2026-8-13-H",
      "title": "Government Performance and Results Act (GPRA) Measures",
      "description": "GPRA requires agencies to have performance measures with specific annual targets. Every year, the IHS reports results for GPRA/GPRAMA performance measures.  GPRA/GPRAMA measures for the IHS include clinical care performance measures, such as care for patients with diabetes, cancer screening, immunization, behavioral health screening, and other prevention measures. The agency also reports many non-clinical measures, including rates of hospital accreditation, injury prevention, and infrastructure improvements.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vickie Claymore, Office of Public Health Support (OPHS), IHS",
          "hasEmail": "mailto:Vickie.Claymore@ihs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Information Technology/ Data Management & Analytics Division and Division of Information Technology Operations",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Indian Health Service (IHS)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.ihs.gov/quality/",
        "title": "National Accountability Dashboard for Quality"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Indian Health Service (IHS)"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "Indian Health Service (IHS)"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.ihs.gov/quality/government-performance-and-results-act-gpra/",
        "title": "Government Performance and Results Act (GPRA)"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Government Performance and Results Act (GPRA) Measures",
          "description": "Data is downloadable as PDF.",
          "accessURL": "https://www.ihs.gov/quality/",
          "downloadURL": "https://www.ihs.gov/quality/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "2026-8-13-I",
      "title": "National Accountability Dashboard for Quality (NAD-Q)",
      "description": "The Indian Health Service dashboard monitors and reports information on compliance with IHS policy requirements, accreditation standards, or regulations at hospitals and ambulatory health centers. The tool also supports oversight and management and will allow IHS to make fact-based decisions to ensure quality and safety of care.The NAD-Q quality dashboard identifies key domains of quality for healthcare systems:\nQuality (efficient, effective, and equitable), Accreditation, Workforce, Patient-centered care, Safety, and Timely care",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Sherylene Teachout,  Office of Quality, IHS",
          "hasEmail": "mailto:Sherylene.Teachout@ihs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Information Technology/ Data Management & Analytics Division and Division of Information Technology Operations",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Indian Health Service (IHS)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.ihs.gov/quality/",
        "title": "National Accountability Dashboard for Quality"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Indian Health Service (IHS)"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "Indian Health Service (IHS)"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.ihs.gov/quality/national-accountability-dashboard-for-quality/",
        "title": "National Accountability Dashboard for Quality"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Accountability Dashboard for Quality (NAD-Q)",
          "description": "Data is downloadable as PDF.",
          "accessURL": "https://www.ihs.gov/quality/",
          "downloadURL": "https://www.ihs.gov/quality/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "2011 Physician Fee Schedule Data",
      "distribution": [
        {
          "title": "Localities table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2011.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "206bdc09-1672-46de-aeb4-746911a1d5b2",
      "keyword": [
        "2011",
        "localities"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
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      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2011",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2022-02-28 to 2022-03-06",
      "identifier": "207d084f-0d9d-4cab-b210-ba813d63b572",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2022-03-10T13:08:04Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rpt-drugs-mar-02-28-2022-03-06-2022.csv"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 05-25-2026 to 05-31-2026",
      "identifier": "209b7113-3b6c-4d63-8641-637ab61934a6",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2026-06-01T16:14:22Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-05-25-2026-to-05-31-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "all years"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "Payments grouped by Teaching Hospital",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_TH_SMRY_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "217ad1a7-b659-41f6-8159-c41b73f47de4",
      "title": "Payments grouped by Teaching Hospital",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-01",
          "endDate": "2023-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard state v3.9.8 (CMS Test)",
      "modified": "2025-11-25T20:30:27Z",
      "distribution": [],
      "identifier": "21971aad-6417-50b6-9fb3-e80e58de2a45",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Network PUF - PY2024",
      "identifier": "2226672d-d505-49ae-9853-1049b53722df",
      "description": "The Network PUF (Ntwrk-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The Ntwrk-PUF contains issuer-level data identifying provider network URLs.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2024-08-06T04:00:00Z",
      "modified": "2024-08-14T13:30:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2024",
        "Network",
        "Exchange PUF",
        "Marketplace PUF"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2024/network_PUF.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/60ed5f1e-195d-4027-9073-7a4b6254e823",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard state v3.9.9 (CMS Test)",
      "modified": "2025-11-25T21:03:55Z",
      "distribution": [],
      "identifier": "2298e031-3644-509c-be92-8ee7401c1b4a",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2018 Child and Adult Health Care Quality Measures",
      "identifier": "229d6279-e614-5353-9226-f6a6f37d06c3",
      "description": "Performance rates on frequently reported health care quality measures in the CMS Medicaid/CHIP Child and Adult Core Sets, for FFY 2018 reporting.\n\nSource: Mathematica analysis of MACPro and Form CMS-416 reports for the FFY 2018 reporting cycle. For more information, see the Children's Health Care Quality Measures and Adult Health Care Quality Measures webpages.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "issued": "2019-07-22T16:24:55Z",
      "modified": "2019-09-26T16:01:50Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Chris Vaughn",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "theme": [
        "Quality"
      ],
      "keyword": [
        "Core Sets",
        "Performance Rates",
        "Quality Measures"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/2018-child-and-adult-health-care-quality-measures.2ir3-z9a8.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/40415510-8910-4c02-a019-69cccc9f5cb6",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "prodAuto_measure_allStates_downloadLink",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-13T13:41:41Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_allStates_downloadLink csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/measure_allStates_downloadLink.csv",
          "description": "{\"dataset\": \"measure_allStates_downloadLink\", \"stage\": \"prodAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "22c72566-87de-5759-90ee-350df11bc89b",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Transparency in Coverage PUF - PY2025",
      "identifier": "230fcdc8-3a0b-48d5-98d9-36744a87906e",
      "description": "The Transparency in Coverage PUF (TC-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The PUF contains data on issuer and plan-level claims, appeals, and active URL data. The PY2025 PUF contains data from PY2023 for issuers participating in the Exchanges in PY2023.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2025-09-30T04:00:00Z",
      "modified": "2025-10-28T22:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Transparency in Coverage",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2025"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "xlsx",
          "downloadURL": "https://data.healthcare.gov/datafile/py2025/transparency_in_coverage_PUF.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "all years"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "The Covered Recipient Profile Supplement file contains information about physicians and non-physician practitioners who have been indicated as recipients of payments, other transfers of value, or ownership and investment interest in payment records, as well as physicians and non-physician practitioners who have been identified as principal investigators associated with research payment records published by Open Payments.\n\nThis file contains only those physicians that have at least one published payment record in this cycle of the publication as of December 31, 2025. The criteria used by the Centers for Medicare &amp; Medicaid Services (CMS) to determine which payment records are eligible for publication is available in the Open Payments Methodology and Data Dictionary Document. This document can be found on the Resources page of the Open Payments website (https://www.cms.gov/OpenPayments/Resources). The Methodology and Data Dictionary Document also includes information on the data collection and reporting methodology, data fields included in the files, and any notes or special considerations that users should be aware of.",
      "distribution": [
        {
          "title": "Covered Recipient Profile Supplement",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/PHPRFL_P06302026_06032026/OP_CVRD_RCPNT_PRFL_SPLMTL_P06302026_06032026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://openpaymentsdata.cms.gov/api/1/metastore/schemas/data-dictionary/items/80796264-d7e9-57cd-8133-2a2a14b1647b",
            "title": "openpaymentsdata.cms.gov"
          },
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "23160558-6742-54ff-8b9f-cac7d514ff4e",
      "title": "Covered Recipient Profile Supplement",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-01-01",
          "endDate": "2025-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_map",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2026-02-02T20:37:24Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "map csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20260120_e2e_ETL_DEV/map.csv",
          "description": "{\"dataset\": \"map\", \"stage\": \"devAuto\", \"update_id\": \"20260120_e2e_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "23254130-7c29-51ff-a442-32f7fd9b9bde",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Dialysis Facility - Listing by Facility",
        "accessURL": "https://data.cms.gov/provider-data/dataset/23ew-n7w9"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-03-14",
      "@type": "Dataset",
      "modified": "2026-06-16",
      "released": "2026-07-15",
      "nextUpdateDate": "2026-10-28",
      "keyword": [
        "Quality",
        "Quality Measures"
      ],
      "contactPoint": {
        "fn": "Dialysis Facility Helpdesk",
        "hasEmail": "mailto:DialysisData@umich.edu"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "23ew-n7w9",
      "description": "A list of all dialysis facilities registered with Medicare that includes addresses and phone numbers, as well as services and quality of care provided.",
      "title": "Dialysis Facility - Listing by Facility",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/c04d84bc5c641284494bee4f20f17f9c_1781625941/DFC_FACILITY.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Localities for 2024B",
      "identifier": "24138191-3a16-4a94-8c27-48e3baac33c4",
      "description": "The CY 2024 Medicare Physician Fee Schedule has been updated by the annual PFS Final Rule for various new policies and for new and existing CPT/HCPCS codes.  For January 1, 2024, through March 8, 2024, the PFS conversion factor is $32.7442.  For March 9, 2024, through December 31, 2024, the CY 2024 Medicare Physician Fee Schedule has been updated by new legislation that revises the PFS conversion factor to $33.2875.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P3M",
      "issued": "2024-01-01",
      "modified": "2024-07-01",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2024-01-01",
          "endDate": "2024-12-31"
        }
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "keyword": [
        "2024B",
        "localities"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2024B.csv"
        }
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "2483-f62b",
      "title": "Hematology-Oncology Office Visit Costs",
      "description": "Returns hematology-oncology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Hematology-Oncology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/71e4cd38ccf7eb277a19ccacbdc08001_1722902733/Hematology_Oncology.csv",
          "mediaType": "text/csv",
          "title": "Hematology_Oncology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Hematology-Oncology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/2483-f62b"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard pillar v3.9.9 (CMS Test)",
      "modified": "2025-11-25T21:03:55Z",
      "distribution": [],
      "identifier": "24c1df63-c908-54e2-9ec5-ec0d78e5912b",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "24w5-nppr",
      "title": "2021 Final Assisted Reproductive Technology (ART) Summary",
      "description": "Data were updated on September 11, 2024.\n\nART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatmentâ€™s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patientâ€™s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National ART Surveillance System",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-12-18",
      "issued": "2024-12-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Assisted Reproductive Technology (ART)"
        }
      ],
      "keyword": [
        "infertility",
        "fertility",
        "art",
        "assisted reproductive technology",
        "clinic",
        "success rates",
        "services"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Reproductive Health (DRH)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "ARTINFO"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2021 Final Assisted Reproductive Technology (ART) Summary",
          "description": "Data were updated on September 11, 2024.\n\nART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment's success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient's chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.",
          "accessURL": "https://data.cdc.gov/d/24w5-nppr",
          "downloadURL": "https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2021-Final-Assisted-Reproductive-Technology-ART-Su/24w5-nppr/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-12-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/24w5-nppr",
            "title": "2021 Final Assisted Reproductive Technology (ART) Summary"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Final Assisted Reproductive Technology (ART) Summary Series",
          "description": "The ART Summary dataset series provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment's success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient's chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 06-01-2026 to 06-07-2026",
      "identifier": "252660ac-d5f0-45b9-b46f-7e46fd6dba90",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2026-06-08T20:31:41Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-06-01-2026-to-06-07-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "Hospice QRP Public Reporting Help Desk",
        "hasEmail": "mailto:HospicePRquestions@cms.hhs.gov"
      },
      "description": "A list of hospice providers with data on the quality of patient care measures.",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/55feed84280900d392830eea2f2426de_1786385144/Hospice_Provider_Aug2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospice/HOSPICE_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "252m-zfp9",
      "issued": "2026-08-07",
      "keyword": [
        "Measures",
        "Quality",
        "Provider Data",
        "Provider-level",
        "Quality Reporting Program"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Hospice - Provider Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/252m-zfp9"
      },
      "modified": "2026-08-07",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "released": "2026-08-26",
      "theme": [
        "Hospice care"
      ],
      "title": "Hospice - Provider Data",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet pillar v3.9.94 (CMS Development)",
      "identifier": "253c29a7-f6dd-5d91-8c1f-142e1a436a66",
      "modified": "2026-08-06T15:58:18Z",
      "distribution": [
        {
          "title": "CoreSet pillar v3.9.94 (CMS Development)",
          "description": "CoreSet pillar v3.9.94 (CMS Development)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.94/20260805/pillar.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2023 Dental SHOP",
      "identifier": "253ecd82-4a43-4150-bd1e-3de6de1e2953",
      "description": "The Dental SHOP Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2023-08-09T04:00:00Z",
      "modified": "2023-08-16T04:00:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "QHP Landscape Instructions",
        "SHOP Market Dental",
        "SHOP",
        "SADP",
        "PY2023"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2023/den-shop-lndscp-in.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "254e-694c",
      "title": "Pharmacy Office Visit Costs",
      "description": "Returns pharmacy office visit costs per zip code for new and established patients.",
      "keyword": [
        "Pharmacy"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/b86892ffca1fa50e9c3f5d329065a01d_1722902758/Pharmacy.csv",
          "mediaType": "text/csv",
          "title": "Pharmacy.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Pharmacy Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/254e-694c"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rate PUF - PY2024",
      "identifier": "2638f347-5311-4655-8d2b-1466848adeae",
      "description": "The Rate PUF (Rate-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The Rate-PUF contains plan-level data on rates based on an eligible subscriber’s age, tobacco use, and geographic location; and family-tier rates.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2024-08-06T04:00:00Z",
      "modified": "2024-08-14T13:30:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2024",
        "Rate",
        "Exchange PUF",
        "Marketplace PUF"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2024/Rate_PUF.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/c14eac80-8cd0-4a53-8132-2e8385ad9b46",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Indicators for 2023",
      "identifier": "2698e4b1-8506-4cc8-97a4-d73bedea1d88",
      "description": "2023: The CY 2023 Medicare Physician Fee Schedule has been updated by the annual PFS Final Rule for various new policies and for new and existing CPT/HCPCS codes for this latest calendar year. This includes implementing all recent legislation as directed by Congress and enacted by the Consolidated Appropriations Act (CAA) of 2023, signed into law of December 29, 2022, of which becomes effective starting January 1, 2023, with PFS conversion factor of $33.8872. The Geographic Practice Cost Index (GPCI) work floor of 1.0 continues to be extended through to the end of CY 2023. ",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P3M",
      "modified": "2023-10-01",
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "keyword": [
        "indicators",
        "2023"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2023-09-28.csv"
        }
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_files_allDownloads",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2023-08-24T17:49:05Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "files_allDownloads csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20220921_v2_ETL_DEV/files_allDownloads.csv",
          "description": "{\"dataset\": \"files_allDownloads\", \"stage\": \"devAuto\", \"update_id\": \"20220921_v2_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "26a6154a-3e36-58bd-aef3-6bcc465687c0",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 06-15-2026-to-06-21-2026",
      "identifier": "27028a6f-c5a7-4c0b-a391-175faf333d03",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.\nLast Update: input the date and time of saving this content page.",
      "accessLevel": "public",
      "modified": "2026-06-22T12:44:34Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-06-15-2026-to-06-21-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "2006 Physician Fee Schedule Data",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2006.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "27602029-3038-4b92-8b13-593d088c92c5",
      "keyword": [
        "2006",
        "indicators"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2006-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Indicators for 2006",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "implAuto_brief",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-05T18:10:13Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_implAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "brief csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/brief.csv",
          "description": "{\"dataset\": \"brief\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "277374e9-ce53-53cd-81d0-d8d27edac2c4",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Facility Affiliation Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/27ea-46a8"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-08-17",
      "@type": "Dataset",
      "modified": "2026-08-18",
      "released": "2026-09-10",
      "nextUpdateDate": "2026-10-15",
      "keyword": [
        "Clinicians"
      ],
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:QPP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "27ea-46a8",
      "description": "This is the facility affiliations data publicly reported in the Provider Data Catalog.",
      "title": "Facility Affiliation Data",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/b7c4080ae144663e43353a9c35cd3f53_1787091342/Facility_Affiliation.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/physician/DOC_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Doctors and clinicians"
      ],
      "archiveExclude": false,
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "FY 2026 SNF VBP Facility-Level Dataset",
        "accessURL": "https://data.cms.gov/provider-data/dataset/284v-j9fz"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-11-01",
      "@type": "Dataset",
      "modified": "2025-11-01",
      "released": "2025-12-10",
      "nextUpdateDate": "2026-12-02",
      "keyword": [
        "Value Based Purchasing"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:SNFVBPquestions@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "284v-j9fz",
      "description": "This dataset contains facility-specific performance results for the fiscal year (FY) 2026 Skilled Nursing Facility Value-Based Purchasing (SNF VBP) Program. Included are baseline period and performance period measure results for each measure, achievement scores for each measure, improvement scores for each measure, measure scores for each measure, performance scores, rankings, and incentive payment multipliers for the FY 2026 SNF VBP Program year.<br /><br />Note: CMS will not publicly report any data for excluded SNFs. CMS finalized a measure minimum policy for the FY 2026 Program year. To receive a performance score and incentive payment multiplier for the FY 2026 Program year, SNFs must meet the case minimum during the performance period for at least two of the four quality measures. SNFs that do not meet the measure minimum are excluded from the SNF VBP Program for FY 2026. Payments to these SNFs will not be affected by the SNF VBP Program; instead, they will receive their adjusted federal per diem rate.",
      "title": "FY 2026 SNF VBP Facility-Level Dataset",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/24625f7ba546a31aafbd5057da94a0e2_1767384370/FY_2026_SNF_VBP_Facility_Performance.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/nursing_home/NH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Nursing homes including rehab services"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "288b-4bed",
      "title": "Radiation Oncology Office Visit Costs",
      "description": "Returns radiation oncology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Radiation Oncology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/37f1c6c369bd97231d88a745fea585d6_1722902766/Radiation_Oncology.csv",
          "mediaType": "text/csv",
          "title": "Radiation_Oncology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Radiation Oncology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/288b-4bed"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Medicaid and CHIP enrollees who received a well-child visit",
      "identifier": "289182e5-44c8-4fcc-96c4-4af69be9863f",
      "description": "This data set includes annual counts and percentages of Medicaid and Children’s Health Insurance Program (CHIP) enrollees who received a well-child visit paid for by Medicaid or CHIP, overall and by five subpopulation topics: age group, race and ethnicity, urban or rural residence, program type, and primary language.\nThese results were generated using Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF) Release 1 data and the Race/Ethnicity Imputation Companion File. This data set includes Medicaid and CHIP enrollees in all 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands, except where otherwise noted. Enrollees in Guam, American Samoa, and the Northern Mariana Islands are not included. Results include enrollees with comprehensive Medicaid or CHIP benefits for all 12 months of the year and who were younger than age 19 at the end of the calendar year. Results shown for the race and ethnicity subpopulation topic exclude enrollees in the U.S. Virgin Islands. Results shown for the primary language subpopulation topic exclude select states with data quality issues with the primary language variable in TAF. Some rows in the data set have a value of \"DS,\" which indicates that data were suppressed according to the Centers for Medicare &amp; Medicaid Services’ Cell Suppression Policy for values between 1 and 10.\nThis data set is based on the brief: \"Medicaid and CHIP enrollees who received a well-child visit in 2020.\" Enrollees are identified as receiving a well-child visit in the year according to the Line 6 criteria in the Form CMS-416 reporting instructions. Enrollees are assigned to an age group subpopulation using age as of December 31st of the calendar year. Enrollees are assigned to a race and ethnicity subpopulation using the state-reported race and ethnicity information in TAF when it is available and of good quality; if it is missing or unreliable, race and ethnicity is indirectly estimated using an enhanced version of Bayesian Improved Surname Geocoding (BISG) (Race and ethnicity of the national Medicaid and CHIP population in 2020). Enrollees are assigned to an urban or rural subpopulation based on the 2010 Rural-Urban Commuting Area (RUCA) code associated with their home or mailing address ZIP code in TAF (Rural Medicaid and CHIP enrollees in 2020). Enrollees are assigned to a program type subpopulation based on the CHIP code and eligibility group code that applies to the majority of their enrolled-months during the year (Medicaid-Only Enrollment; M-CHIP and S-CHIP Enrollment). Enrollees are assigned to a primary language subpopulation based on their reported ISO language code in TAF (English/missing, Spanish, and all other language codes) (Primary Language). Please refer to the full brief for additional context about the methodology and detailed findings. Future updates to this data set will include more recent data years as the TAF data become available.",
      "accessLevel": "public",
      "modified": "2025-01-17T04:44:19Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Medicaid",
        "Children's Health Insurance Program (CHIP)",
        "Well-Child Visits",
        "T-MSIS Analytic Files (TAF)",
        "Services",
        "Early and Periodic Screening Diagnostic and Treatment (EPSDT)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/well-child-visits-2020-2022-01162025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/811fa489-078d-42b7-9448-e6058f330bcb",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2026",
      "identifier": "2957a7f9-9a15-453e-9afd-3bbdcbac8fd3",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2026-07-10T21:07:58Z",
      "modified": "2026-07-10T21:08:05Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Pharmacy",
        "Medicaid Reimbursements",
        "Drug Utilization"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/sdud2026_updated072026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard state v3.9.9 (CMS Test)",
      "modified": "2025-11-25T21:01:23Z",
      "distribution": [],
      "identifier": "29b30323-2716-5330-b1af-0dc8fd69db85",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2023"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2023 payments grouped by reporting entities, covered recipient, and nature of payments",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_AMGPO_BY_CR_BY_NTR_OF_PYMT_PGYR2023_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "29c23b6a-dd1e-4d82-a606-8d792c7f229e",
      "title": "2023 payments grouped by reporting entities, covered recipient, and nature of payments",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2023-01-01",
          "endDate": "2023-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Dental Services Provided to Medicaid and CHIP Beneficiaries Under Age 19",
      "identifier": "2aa0ed3d-6ef8-47a8-90b0-06b6d2fa3953",
      "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of dental services provided to Medicaid and CHIP beneficiaries under the age of 19 (as of the first day of the month), by state. \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating dental services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T15:46:02Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Dental",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas",
        "Services"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Dental Services Provided to Medicaid and CHIP Beneficiaries Under Age 19",
          "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of dental services provided to Medicaid and CHIP beneficiaries under the age of 19 (as of the first day of the month), by state. \r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating dental services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/Dental-Services-Provided-to-MedicaidCHIP-Beneficiaries-Under-Age-19.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NAM CAHPS 2014 Public Use",
      "identifier": "2b18f2f7-d0f3-5efe-afc4-4881fcbdf200",
      "description": "In fall 2014, the Center for Medicaid and CHIP Services (CMCS) conducted a Nationwide Adult Medicaid (NAM) Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey of Medicaid enrollees to attain national and state-by-state measures of access, barriers to care, and experiences with care across delivery systems and major population subgroups. The survey interviewed a representative sample of adults ages 18 and older enrolled in Medicaid during October through December 2013.\nAdditional information, including a data dictionary and analysis guidance and downloadable SAS files are available on the <a href=\"https://www.medicaid.gov/medicaid/quality-of-care/quality-of-care-performance-measurement/nationwide-adult-medicaid-consumer-assessment-of-healthcare-providers-and-systems\">NAM CAHPS</a> webpage. Please note that all analyses must account for the survey’s sample design and use weights and strata. Sample code is available in on the <a href=\"https://www.medicaid.gov/medicaid/quality-of-care/quality-of-care-performance-measurement/nationwide-adult-medicaid-consumer-assessment-of-healthcare-providers-and-systems\">NAM CAHPS</a> webpage.",
      "accessLevel": "public",
      "issued": "2019-09-24T15:49:51Z",
      "modified": "2019-11-29T15:34:11Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Chris Vaughn",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/nam-cahps-2014-public-use.dc57-m2ei.csv"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2014 Child and Adult Health Care Quality Measures",
      "identifier": "2b6a0ec0-efe6-5aec-9fe4-e168b8b6f553",
      "description": "Performance rates on frequently reported health care quality measures in the CMS Medicaid/CHIP Child and Adult Core Sets, for FFY 2014 reporting.  Dataset contains both child and adult measures. Source: Mathematica analysis of FFY 2014 Child and Adult CARTS reports as of May 8, 2015, as published in the 2015 Secretary's Reports on the Quality of Care in Medicaid/CHIP.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "issued": "2016-03-16T16:50:35Z",
      "modified": "2017-08-03T14:34:46Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "theme": [
        "Quality"
      ],
      "keyword": [
        "Performance Rates",
        "Core Sets",
        "Quality Measures"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/2014-child-and-adult-health-care-quality-measures.7ycc-v6ew.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/46af8afb-a5cf-4be9-9071-151ad1b61998",
            "title": "data.medicaid.gov"
          }
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Localities for 2025",
      "identifier": "2c07a8fe-ac99-4ae6-855f-e6fe7597dc8b",
      "description": "2025: The CY 2025 Medicare Physician Fee Schedule has been updated by the annual PFS Final Rule for various new policies and for new and existing CPT/HCPCS codes for this latest calendar year, which becomes effective starting January 1, 2025, with PFS conversion factor of $32.3465.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P3M",
      "issued": "2025-01-01",
      "modified": "2025-01-01",
      "license": "https://www.usa.gov/government-works",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2025-01-01",
          "endDate": "2025-03-31"
        }
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "theme": [
        "Medicare"
      ],
      "keyword": [
        "localities",
        "2025"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2025.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet filters v3.3.5 (imp)",
      "modified": "2025-05-05T22:19:55Z",
      "distribution": [
        {
          "title": "CoreSet filters v3.3.5 (imp)",
          "description": "CoreSet filters v3.3.5 (imp)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.3.5/20250110/filters.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "2c549f1c-7c84-5390-a1c7-4289ccd26a93",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "2ca5-1007",
      "title": "Public Health or Welfare Agency Office Visit Costs",
      "description": "Returns public health or welfare agency office visit costs per zip code for new and established patients.",
      "keyword": [
        "Public Health or Welfare Agency"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/1ffc95c8b8a2cfcd58b234264bc4771b_1722902765/Public_Health_or_Welfare_Agency.csv",
          "mediaType": "text/csv",
          "title": "Public_Health_or_Welfare_Agency.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Public Health or Welfare Agency Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/2ca5-1007"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2024 Individual Medical",
      "identifier": "2cfb30f4-7c65-42bd-bc4c-a3fbcf1cb2cd",
      "description": "The Medical Individual Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to consumers in the individual market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2024-08-06T04:00:00Z",
      "modified": "2024-08-14T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
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          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2024",
        "QHP Landscape",
        "Individual Market Medical",
        "QHP",
        "Individual"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "zip",
          "downloadURL": "https://data.healthcare.gov/datafile/py2024/individual_market_medical.zip"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 12-22-2025-to-12-28-2025",
      "identifier": "2de253be-fc91-4d63-84ba-1e69d60fcd67",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-12-29T21:35:56Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-12-22-2025-to-12-28-2025.csv",
          "describedBy": {
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            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
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          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2025 Medical SHOP",
      "identifier": "2df89ece-d8f2-489f-9baf-b039cd676ce3",
      "description": "The Medical SHOP Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2025-08-06T04:00:00Z",
      "modified": "2025-08-12T13:30:00Z",
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          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "QHP",
        "SHOP",
        "SHOP Market Medical",
        "QHP Landscape Instructions",
        "PY2025"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2025/med-shop-lndscp-in.pdf"
        }
      ],
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        "009:00"
      ],
      "programCode": [
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      ],
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "2dwv-vfam",
      "title": "CDC STATE System Tobacco Legislation - Tax",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation-Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state taxes on combustible (cigarettes, cigars, little cigars, pipe tobacco, and roll-your-own tobacco) tobacco products, non-combustible (snus, moist snuff, dry snuff, chewing tobacco) tobacco products, and tax stamps.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
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        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-01",
      "issued": "2014-07-14",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Legislation"
        }
      ],
      "keyword": [
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        "state system",
        "policy",
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      ],
      "spatial": [
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        }
      ],
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        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health"
      },
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      ],
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      ],
      "creator": {
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      },
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          "accessURL": "https://data.cdc.gov/d/2dwv-vfam",
          "downloadURL": "https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Tax/2dwv-vfam/data_preview",
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          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
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          ],
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              ],
              "contactPoint": [
                {
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                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
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                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "title": "implAuto_concernLevel",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
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      "accrualPeriodicity": "R/PT1S",
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      ],
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        "fn": "DataConnect Support Team"
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      "theme": [
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      ],
      "keyword": [
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        "Utility",
        "dqatlas_implAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "concernLevel csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/concernLevel.csv",
          "description": "{\"dataset\": \"concernLevel\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
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      ],
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "2e55-8767",
      "title": "General Practice Office Visit Costs",
      "description": "Returns general practice office visit costs per zip code for new and established patients.",
      "keyword": [
        "General Practice"
      ],
      "issued": "2024-08-05",
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      "released": "2024-08-08",
      "distribution": [
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      ],
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        "title": "General Practice Office Visit Costs",
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      },
      "theme": [
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      ],
      "accessLevel": "public",
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      ],
      "contactPoint": {
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    },
    {
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "The Medicare Physician Fee Schedule update factor for 2020 is 0.00% and the conversion factor is 36.0896.",
      "distribution": [
        {
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          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2020.csv",
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        }
      ],
      "identifier": "2e960e7e-1552-4900-b846-11d6b7b3be4f",
      "keyword": [
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        "localities"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
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      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
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          "startDate": "2020-01-01",
          "endDate": "2020-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2020",
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    },
    {
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      "accrualPeriodicity": "R/P1Y",
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      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
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      ],
      "keyword": [
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        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard version v3.9.61 (Production)",
      "identifier": "2eb2dbeb-08d4-56a3-b081-2c87d0353027",
      "modified": "2026-06-25T16:07:25Z",
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          "description": "Scorecard version v3.9.61 (Production)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.61/20251205/version.csv",
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    },
    {
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      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
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      "title": "CoreSet state v3.3.5 (imp)",
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        }
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      "title": "2024 Research Payment Data",
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      "modified": "2026-06-30",
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      ],
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    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-01-09-to-2023-01-15",
      "identifier": "2f2451fb-e5fe-4235-892b-755fe273903e",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-01-09-to-2023-01-15",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-01092023-to-01152023_0-102025.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 10-27-2025-to-11-02-2025",
      "identifier": "2fa61104-4718-4391-a73d-3d6d0d9bf0b1",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-11-03T16:21:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-10-27-2025-to-11-02-2025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "2fbd-6172",
      "title": "Anesthesiology Office Visit Costs",
      "description": "Returns anesthesiology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Anesthesiology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/b2865dff92f9fdd8c29f28fb675daf44_1722902712/Anesthesiology.csv",
          "mediaType": "text/csv",
          "title": "Anesthesiology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Anesthesiology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/2fbd-6172"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2015",
      "identifier": "2fed5758-5fd6-5dbb-8f92-34b3a0c3c8dd",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-09-04T10:48:02Z",
      "modified": "2026-04-03T16:44:56Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2015.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2025 Medical SHOP",
      "identifier": "2ffb5a20-8b08-48cb-b0ba-115de4381ca1",
      "description": "The Medical SHOP Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2025-08-06T04:00:00Z",
      "modified": "2025-08-12T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "QHP",
        "SHOP",
        "SHOP Market Medical",
        "QHP Landscape",
        "PY2025"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "zip",
          "downloadURL": "https://data.healthcare.gov/datafile/py2025/shop_market_medical.zip"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Dialysis Facility - State Averages",
        "accessURL": "https://data.cms.gov/provider-data/dataset/2fpu-cgbb"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-03-14",
      "@type": "Dataset",
      "modified": "2026-06-16",
      "released": "2026-07-15",
      "nextUpdateDate": "2026-10-28",
      "keyword": [
        "Quality",
        "Quality Measures"
      ],
      "contactPoint": {
        "fn": "Dialysis Facility Helpdesk",
        "hasEmail": "mailto:DialysisData@umich.edu"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "2fpu-cgbb",
      "description": "State averages of common dialysis quality measures.",
      "title": "Dialysis Facility - State Averages",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/3b5f0449f531ee07c467e49abed89954_1781625942/DFC_STATE.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Network PUF - PY2014",
      "identifier": "2jt4-zy24",
      "description": "The Network PUF (Ntwrk-PUF) is one of the seven files that make up the Marketplace PUF. The Ntwrk-PUF contains issuer-level data identifying provider network URLs. These data either originate from the Network ID template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2014-12-22T22:35:51Z",
      "modified": "2017-12-11T22:46:52Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/network-puf-2014.2jt4-zy24.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/c3e09812-c488-478f-a509-8ac61ef02a20",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2016 NV Dental SHOP",
      "identifier": "2qsb-qitj",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T16:48:35Z",
      "modified": "2015-11-24T01:44:19Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_NV-Dent-SHOP-Land-11-09-2015.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Dialysis Facility - National Averages",
        "accessURL": "https://data.cms.gov/provider-data/dataset/2rkq-ygai"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-03-14",
      "@type": "Dataset",
      "modified": "2026-06-16",
      "released": "2026-07-15",
      "nextUpdateDate": "2026-10-28",
      "keyword": [
        "Quality",
        "Quality Measures"
      ],
      "contactPoint": {
        "fn": "Dialysis Facility Helpdesk",
        "hasEmail": "mailto:DialysisData@umich.edu"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "2rkq-ygai",
      "description": " National averages of common dialysis quality measures.",
      "title": "Dialysis Facility - National Averages",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/ae019f56e76839ee1da1b51f502954cc_1781625942/DFC_NATIONAL.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Service Area PUF - PY2018",
      "identifier": "2s43-xj6q",
      "description": "The Service Area PUF (SA-PUF) is one of the files that make up the Marketplace PUF. The SA-PUF contains issuer-level data on the geographic coverage or service area (i.e., where the plan is offered) including state, county, and zip code. These data either originate from the Service Area template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2017-10-25T15:45:22Z",
      "modified": "2018-08-13T20:40:18Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Jennings",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/service-area-puf-2018.2s43-xj6q.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/cf346473-7a74-4ca7-a6cb-32c0bd943e89",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "2snk-eav4",
      "title": "CDC STATE System Tobacco Legislation - Smokefree Indoor Air Summary",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation  –  Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in private worksites, restaurants, and bars.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-01",
      "issued": "2014-12-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Legislation"
        }
      ],
      "keyword": [
        "state system",
        "smokefree indoor air",
        "legislation",
        "tobacco",
        "policy",
        "osh"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC STATE System Tobacco Legislation - Smokefree Indoor Air Summary",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in private worksites, restaurants, and bars.",
          "accessURL": "https://data.cdc.gov/d/2snk-eav4",
          "downloadURL": "https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Smokefree-Ind/2snk-eav4/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-04-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/2snk-eav4",
            "title": "CDC STATE System Tobacco Legislation - Smokefree Indoor Air Summary"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "2t2r-sf6s",
      "title": "National Health Interview Survey (NHIS)  –  Vision and Eye Health Surveillance",
      "description": "2014-15 merged, 2016-17 merged. This dataset is a de-identified summary table of vision and eye health data indicators from NHIS, stratified by all available combinations of age group, race/ethnicity, sex, and risk factor. NHIS is an annual household survey conducted by the National Center for Health Statistics at CDC that monitors trends in illness, disabilities, and progress towards national health objectives. Approximate sample size is 35,000 households and 87,500 persons annually. NHIS data for VEHSS includes questions related to Visual Function. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Data will be updated as it becomes available. Detailed information on VEHSS NHIS analyses can be found on the VEHSS NHIS webpage (link). Additional information about NHIS can be found on the NHIS website (https://www.cdc.gov/nchs/nhis/about_nhis.htm). The VEHSS NHIS dataset was last updated in November 2019.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vision and Eye Health Surveillance System",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Diabetes Translation (DDT)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-03-02",
      "issued": "2018-02-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vision & Eye Health"
        }
      ],
      "keyword": [
        "nhis",
        "glasses",
        "visual function",
        "blind",
        "vision correction",
        "contact lenses"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "DDT Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Health Interview Survey (NHIS) – Vision and Eye Health Surveillance",
          "description": "2014-15 merged, 2016-17 merged. This dataset is a de-identified summary table of vision and eye health data indicators from NHIS, stratified by all available combinations of age group, race/ethnicity, sex, and risk factor. NHIS is an annual household survey conducted by the National Center for Health Statistics at CDC that monitors trends in illness, disabilities, and progress towards national health objectives. Approximate sample size is 35,000 households and 87,500 persons annually. NHIS data for VEHSS includes questions related to Visual Function. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Data will be updated as it becomes available. Detailed information on VEHSS NHIS analyses can be found on the VEHSS NHIS webpage (link). Additional information about NHIS can be found on the NHIS website (http://www.cdc.gov/nchs/nhis/about_nhis.htm). The VEHSS NHIS dataset was last updated in November 2019.",
          "accessURL": "https://data.cdc.gov/d/2t2r-sf6s",
          "downloadURL": "https://data.cdc.gov/Vision-Eye-Health/National-Health-Interview-Survey-NHIS-Vision-and-E/2t2r-sf6s/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-03-02",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/2t2r-sf6s",
            "title": "National Health Interview Survey (NHIS) – Vision and Eye Health Surveillance"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 NV Individual Medical",
      "identifier": "2z8b-yxem",
      "description": "For instructions on how to read and use this data, visit: https://data.healthcare.gov/download/7n3t-f984/application/pdf",
      "accessLevel": "public",
      "issued": "2014-11-13T16:53:00Z",
      "modified": "2015-08-20T00:35:59Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qhp-landscape-nv-individual-market-medical.2z8b-yxem.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/c727638c-f7b0-4f11-8a8b-2e0c4ab558bb",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rate PUF - PY2017",
      "identifier": "2zrn-hv42",
      "description": "The Rate PUF (Rate-PUF) is one of the files that make up the Marketplace PUF. The Rate-PUF contains plan-level data on individual rates based on an eligible subscriber’s age, tobacco use, and geographic location. These data either originate from the Rate Table template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2017-01-04T15:09:49Z",
      "modified": "2017-08-25T12:20:54Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Jennings",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/rate-puf-2017.2zrn-hv42.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/ebc802df-e2ef-433e-9d22-64467af664b5",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 05-11-2026 to 05-17-2026",
      "identifier": "30108188-5841-474d-b77e-c3c190589a73",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "issued": "2026-05-18T04:00:00Z",
      "modified": "2026-05-18T14:03:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-05-11-2026-to-05-17-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 11-10-2025-to-11-16-2025",
      "identifier": "301aa44c-5bd5-45c6-82f1-678f86845edf",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-11-18T13:41:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-11-10-2025-to-11-16-2025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "Payment files reflect a change in the conversion factor as a result of the Preservation of Access to Care for Medicare Beneficiaries and Pension Relief Act of 2010, which President Obama signed into law on June 25, 2010. This legislation provides for a 2.2 percent update to the 2010 Medicare Physician Fee Schedule (MPFS), effective for dates of service June 1, 2010, through November 30, 2010. For 2010A: Payment files reflect changes as a result of practice expense (PE) and malpractice (MP) relative value unit (RVU) corrections and provisions of the Patient Protection and Affordable Care Act (the Affordable Care Act), as modified by the Health Care and Education Reconciliation Act of 2010, which President Obama signed into law on March 23, 2010, and March 30, 2010, respectively.",
      "distribution": [
        {
          "title": "Localities table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities210b.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "304a4006-2601-4046-bf02-65af884ea5e4",
      "keyword": [
        "2010B",
        "localities"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-07-01",
          "endDate": "2010-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2010B",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "featAuto_files_topicSnapshot",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2022-09-21T16:54:17Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_featAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "files_topicSnapshot csv file",
          "description": "{\"dataset\": \"files_topicSnapshot\", \"stage\": \"featAuto\", \"update_id\": \"20220921_v2_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "315310e1-367d-51cd-ac6d-ecf42f828960",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Quality PUF - PY2022",
      "identifier": "324ab636-3090-4494-b170-fa178222ab27",
      "description": "The Quality PUF contains 2021 quality ratings data for eligible Qualified Health Plans in PY2022 in states on HealthCare.gov.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "describedBy": {
        "@type": "Distribution",
        "accessURL": "https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/QualityInitiativesGenInfo/ACA-MQI/Downloads/MQI-Downloads",
        "title": "cms.gov"
      },
      "issued": "2021-10-24T23:30:00Z",
      "modified": "2021-10-24T21:16:41Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Michael Paladino",
        "hasEmail": "mailto:Michael.Paladino@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Quality PUF 2022 Dataset",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/quality-puf-2022-data.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/bba3b8d8-064c-4d80-8a6f-49e4e8fce517",
            "title": "data.healthcare.gov"
          },
          "_update": "2026-04-10"
        }
      ],
      "references": [
        "https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/QualityInitiativesGenInfo/ACA-MQI/Downloads/MQI-"
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-06-26-to-2023-07-02",
      "identifier": "325529aa-89b0-4892-913f-4515e4db1355",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-07-03T19:19:03Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-06-26-to-2023-07-02",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-06-26-2023-to-07-02-2023.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "32b2-9f88",
      "title": "Plastic and Reconstructive Surgery Office Visit Costs",
      "description": "Returns plastic and reconstructive surgery office visit costs per zip code for new and established patients.",
      "keyword": [
        "Plastic and Reconstructive Surgery"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/3e434a0b692b96e1f98ddae16e4a2302_1722902761/Plastic_and_Reconstructive_Surgery.csv",
          "mediaType": "text/csv",
          "title": "Plastic_and_Reconstructive_Surgery.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Plastic and Reconstructive Surgery Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/32b2-9f88"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "32d8-3235",
      "title": "Dentist Office Visit Costs",
      "description": "Returns dentist office visit costs per zip code for new and established patients.",
      "keyword": [
        "Dentist"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/43981be93f4eec32cd9ec2e77f529fa6_1722902721/Dentist.csv",
          "mediaType": "text/csv",
          "title": "Dentist.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Dentist Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/32d8-3235"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": " QHP Landscape PY2019 Dental SHOP",
      "identifier": "32ei-4grr",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2018-10-24T20:22:00Z",
      "modified": "2019-08-09T15:26:27Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "downloadURL": "https://data.healthcare.gov/datafile/SHOP_Market_Dental_07_25_2019.xlsx"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "32fd-hyzc",
      "title": "CDC STATE System Tobacco Legislation - Smokefree Indoor Air",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation  –  Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Oral Health (DOH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-01",
      "issued": "2014-07-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Legislation"
        }
      ],
      "keyword": [
        "osh",
        "policy",
        "smokefree indoor air",
        "state system",
        "tobacco",
        "legislation"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC STATE System Tobacco Legislation - Smokefree Indoor Air",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.",
          "accessURL": "https://data.cdc.gov/d/32fd-hyzc",
          "downloadURL": "https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Smokefree-Ind/32fd-hyzc/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-04-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/32fd-hyzc",
            "title": "CDC STATE System Tobacco Legislation - Smokefree Indoor Air"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Business Rules PUF - PY2016",
      "identifier": "32q5-vymq",
      "description": "The Business Rules PUF (BR-PUF) is one of the seven files that make up the Marketplace PUF. The BR-PUF contains plan-level data on the application of rates, such as allowed relationships (e.g., spouse, dependents) and tobacco use. These data either originate from the Business Rules template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2015-11-10T15:40:48Z",
      "modified": "2016-08-12T14:21:53Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Balaji",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/business-rules-puf-2016.32q5-vymq.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/f5d8b5c0-c952-47e5-b124-869836f5d46d",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_files_topicSnapshot",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2022-09-21T17:02:29Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "files_topicSnapshot csv file",
          "description": "{\"dataset\": \"files_topicSnapshot\", \"stage\": \"devAuto\", \"update_id\": \"20220921_v2_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "3380bed6-24ce-568e-982c-99951e1d7db0",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Indicator summary for 2021-2025",
      "identifier": "34026bda-5b11-5214-bd7d-2cdb93756c42",
      "description": "A summary of the indicators datasets for the years 2021-2025 for proc_stat not \"I\" and non-QPP indicators. It includes the following columns: hcpc, year, rvu_work, full_fac_pe, full_nfac_pe, rvu_mp.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P3M",
      "issued": "2026-05-22T14:03:08Z",
      "modified": "2026-06-09T14:01:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2021-01-01",
          "endDate": "2025-12-31T23:59:59Z"
        }
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "keyword": [
        "indicators",
        "summary"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicatorSummary2021-2025_06-09-2026.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSEt state v2.10.6 (coreset-etl-test)",
      "modified": "2024-10-24T18:08:36Z",
      "distribution": [
        {
          "title": "CoreSEt state v2.10.6 (coreset-etl-test)",
          "description": "CoreSEt state v2.10.6 (coreset-etl-test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.6/20241023/state.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "3470acd5-0658-5971-bed7-80019b8a8ee2",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet version v3.9.97 (Production)",
      "identifier": "34d677c8-e62a-589b-b48e-0b33bc126271",
      "modified": "2026-09-21T23:50:30Z",
      "distribution": [
        {
          "title": "CoreSet version v3.9.97 (Production)",
          "description": "CoreSet version v3.9.97 (Production)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.97/20260824/version.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 03-04-2024-to-03-10-2024",
      "identifier": "34f57ab6-0675-4185-b12a-e78d5a915fd5",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2024-03-11T04:00:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 03-04-2024-to-03-10-2024",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-03-04-2024-to-03-10-2024.csv"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Blood Lead Screening Services Provided to Medicaid and CHIP Beneficiaries Ages 1-2",
      "identifier": "34fc0456-e28c-4762-91e1-49cd88462e7a",
      "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of behavioral health services, including emergency department services, inpatient services, intensive outpatient/partial hospitalizations, outpatient services, or services delivered through telehealth, provided to Medicaid and CHIP beneficiaries, by state. Users can filter by either mental health disorder or substance use disorder. \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating behavioral health services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Diagnosis Code - IP, Diagnosis Code - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2025-10-20T13:49:10Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Substance Use Disorder",
        "Behavioral Health",
        "Mental Health Disorder",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas",
        "Services"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Blood Lead Screening Services Provided to Medicaid and CHIP Beneficiaries Ages 1-2",
          "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of behavioral health services, including emergency department services, inpatient services, intensive outpatient/partial hospitalizations, outpatient services, or services delivered through telehealth, provided to Medicaid and CHIP beneficiaries, by state. Users can filter by either mental health disorder or substance use disorder. \r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating behavioral health services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Diagnosis Code - IP, Diagnosis Code - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/Blood-Lead-Screening-Services-Provided-to-MedicaidCHIP-Beneficiaries-Ages-1-2-102025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/a643b441-3523-4a14-97fe-23ae4c429919",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "featAuto_files_stateSnapshot",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2022-09-21T16:54:17Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_featAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "files_stateSnapshot csv file",
          "description": "{\"dataset\": \"files_stateSnapshot\", \"stage\": \"featAuto\", \"update_id\": \"20220921_v2_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "3606023c-6e7f-53b5-b1ff-1757ca9da64e",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "3614-1eef",
      "title": "Addiction Medicine Office Visit Costs",
      "description": "Returns addiction medicine office visit costs per zip code for new and established patients.",
      "keyword": [
        "Addiction Medicine"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/d1ab7920355d5e990a5a6820b3fde80a_1722902710/Addiction_Medicine.csv",
          "mediaType": "text/csv",
          "title": "Addiction_Medicine.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Addiction Medicine Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/3614-1eef"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Dual Status Information for Medicaid and CHIP Beneficiaries by Month",
      "identifier": "36ed6909-ab49-4ca5-a38e-6790138cd613",
      "description": "This data set includes monthly enrollment counts of Medicaid and CHIP beneficiaries by dual eligibility status for Medicaid and Medicare (full dual eligibility, partial dual eligibility, or not dually eligible).\n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating these measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable or of high concern based on DQ Atlas thresholds for the topic Dually Enrolled in Medicare. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods.\n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries. ",
      "accessLevel": "public",
      "modified": "2024-01-05T16:52:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Dual Enrollment",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Dual Status Information for Medicaid and CHIP Beneficiaries by Month",
          "description": "This data set includes monthly enrollment counts of Medicaid and CHIP beneficiaries by dual eligibility status for Medicaid and Medicare (full dual eligibility, partial dual eligibility, or not dually eligible).\r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating these measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable or of high concern based on DQ Atlas thresholds for the topic Dually Enrolled in Medicare. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods.\r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/DualStatus-montly.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/25a532bf-c25f-45ef-b20c-607959c0fc3e",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "373s-ayzu",
      "title": "PLACES: Local Data for Better Health, Census Tract Data 2021 release",
      "description": "This dataset contains model-based census tract-level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015 – 019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-10-04",
      "issued": "2022-10-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "places",
        "outcomes",
        "health",
        "census tract",
        "brfss",
        "behaviors",
        "status",
        "risk",
        "prevention",
        "prevalence"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, Census Tract Data 2021 release",
          "description": "This dataset contains model-based census tract-level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015 – 019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/373s-ayzu",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/373s-ayzu/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2022-10-04",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/373s-ayzu",
            "title": "PLACES: Local Data for Better Health, Census Tract Data 2021 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Census Tract Data Series, 2020-2025",
          "description": "This dataset contains model-based census tract-level estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia (DC) at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2022"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "Ownership Payment Data - Detailed Dataset 2022 Reporting Year\nAll ownership and investment payments from the 2022 program year [January 1 – December 31, 2022]",
      "distribution": [
        {
          "title": "Ownership Payment Data - Detailed Dataset 2022 Reporting Year",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/PGYR2022_P06302026_06032026/OP_DTL_OWNRSHP_PGYR2022_P06302026_06032026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://openpaymentsdata.cms.gov/api/1/metastore/schemas/data-dictionary/items/0b7b03cb-835c-50c4-abbb-5a311eb91858",
            "title": "openpaymentsdata.cms.gov"
          },
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "37792388-800f-427a-9e02-b11601454eeb",
      "title": "2022 Ownership Payment Data",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2022-01-01",
          "endDate": "2022-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Ownership Payments"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Health Screenings Provided to Medicaid and CHIP Beneficiaries Under Age 19",
      "identifier": "37b55242-7cd4-4818-b783-348adf39e50c",
      "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of health screenings provided to Medicaid and CHIP beneficiaries under the age of 19 (as of the first day of the month) by state. \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating screening services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Diagnosis Codes - OT, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T14:54:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Screening",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas",
        "Services"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Health Screenings Provided to Medicaid and CHIP Beneficiaries Under Age 19",
          "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of health screenings provided to Medicaid and CHIP beneficiaries under the age of 19 (as of the first day of the month) by state. \r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating screening services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Diagnosis Codes - OT, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/Health-Screenings-Provided-to-MedicaidCHIP-Beneficiaries-Under-Age-19.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/a4acc1ef-d32e-4d94-af0c-7fc0da6832f8",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "identifier": "37fba404-224d-5bad-9c62-527d9316e516",
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2019"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "Groups payment data by state, recipient type, and nature of payment.",
      "distribution": [
        {
          "title": "2019 state-level payment total and averages by Nature of Payment",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_NTR_OF_PYMT_BY_STATE_SMRY_PGYR2019_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "title": "2019 state payment totals grouped by Nature of Payment for all years",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-01-01",
          "endDate": "2019-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "385c-8c97",
      "title": "Rheumatology Office Visit Costs",
      "description": "Returns rheumatology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Rheumatology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/103a90281c86d5e1bc1550aa33c0a186_1722902768/Rheumatology.csv",
          "mediaType": "text/csv",
          "title": "Rheumatology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Rheumatology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/385c-8c97"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2022 Medical SHOP",
      "identifier": "385f17c1-f03d-4927-947d-854cfcd07c00",
      "description": "The Medical SHOP Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2022-08-10T12:00:00Z",
      "modified": "2022-08-17T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "SHOP Market Medical",
        "SHOP",
        "QHP Landscape Instructions",
        "QHP",
        "PY2022"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2022/med-shop-lndscp-in.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet measure v3.3.4 (etl-test)",
      "identifier": "38bb4862-fce2-55aa-bf95-85c8643ab688",
      "modified": "2025-05-05T20:57:36Z",
      "distribution": [
        {
          "title": "CoreSet measure v3.3.4 (etl-test)",
          "description": "CoreSet measure v3.3.4 (etl-test)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.3.4/20250110/measure.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-11-13-to-2023-11-19",
      "identifier": "3944c771-0971-46bf-9a82-12ffc18bdc1b",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-11-20T21:03:06Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-11-13-to-2023-11-19",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-11-13-2023-to-11-19-2023.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "39da-b8ab",
      "title": "Sleep Medicine Office Visit Costs",
      "description": "Returns sleep medicine office visit costs per zip code for new and established patients.",
      "keyword": [
        "Sleep Medicine"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/1c1a0ed15cda4de12ec0a8e3cc97705b_1722902769/Sleep_Medicine.csv",
          "mediaType": "text/csv",
          "title": "Sleep_Medicine.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Sleep Medicine Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/39da-b8ab"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-04-17-to-2023-04-23",
      "identifier": "3a0999f8-2850-4fee-aefe-8ae6a22e56c0",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-04-25T15:21:56Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-04-17-to-2023-04-23",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-4-17-2023-to-4-23-2023.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "3a83-ee2d",
      "title": "Certified Registered Nurse Anesthetist (CRNA) Office Visit Costs",
      "description": "Returns certified registered nurse anesthetist (crna) office visit costs per zip code for new and established patients.",
      "keyword": [
        "Certified Registered Nurse Anesthetist (CRNA)"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/d3cc3cf2d04ccd5dc696abc182658f85_1722902717/Certified_Registered_Nurse_Anesthetist_CRNA.csv",
          "mediaType": "text/csv",
          "title": "Certified_Registered_Nurse_Anesthetist_CRNA.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Certified Registered Nurse Anesthetist (CRNA) Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/3a83-ee2d"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard version v3.9.22 (Development)",
      "identifier": "3aa5d241-b6e1-5614-8313-1088c06c7509",
      "modified": "2025-12-08T17:30:20Z",
      "distribution": [
        {
          "title": "Scorecard version v3.9.22 (Development)",
          "description": "Scorecard version v3.9.22 (Development)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.22/20251205/version.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard MEASURE_VALUE v0.3.58-test (local)",
      "modified": "2023-08-08T14:14:26Z",
      "distribution": [],
      "identifier": "3b56f633-6976-505f-89e4-31d04b742b50",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "featAuto_states",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-09-25T14:18:32Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_featAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "states csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20250924_ETL_DEV/states.csv",
          "description": "{\"dataset\": \"states\", \"stage\": \"featAuto\", \"update_id\": \"20250924_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "3badba63-9497-512e-b2ed-c8d3be0ea213",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "The Medicare Improvements for Patients and Providers Act of 2008 was enacted on July 15, 2008. As a result, the mid-year 2008 Medicare Physician Fee Schedule (MPFS) rate of -10.6 percent was replaced with a 0.5 percent update, retroactive to July 1, 2008. In the year dropdown box above, select \"2008A\" for fees effective January 1, 2008 through June 30, 2008 and select \"2008B\" for fees effective July 1, 2008 through December 31, 2008.",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators208b.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "3d04f182-05de-4b68-99ae-3fa8271f4a30",
      "keyword": [
        "2008B",
        "indicators"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2008-07-01",
          "endDate": "2008-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Indicators for 2008B",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Program Information for Medicaid and CHIP Beneficiaries by Month",
      "identifier": "3da9f4e6-7976-43a8-8d1b-72f2c557a5ca",
      "description": "This data set includes monthly enrollment counts of Medicaid and CHIP beneficiaries by program type (Medicaid or CHIP). \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating these measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable or of high concern based on DQ Atlas thresholds for the topics Medicaid-only Enrollment and M-CHIP and S-CHIP Enrollment. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T16:45:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Program Enrollment",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Program Information for Medicaid and CHIP Beneficiaries by Month",
          "description": "This data set includes monthly enrollment counts of Medicaid and CHIP beneficiaries by program type (Medicaid or CHIP). \r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating these measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable or of high concern based on DQ Atlas thresholds for the topics Medicaid-only Enrollment and M-CHIP and S-CHIP Enrollment. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. \r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/ProgramType-montly.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/af6d27f2-5a07-4c30-9dba-3000ba69515e",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Find Local Help",
      "identifier": "3ddf85bc-f71b-4417-b271-410cbf9e0905",
      "description": "CSV output of the Assister and Agent/Broker listing dataset used within the Find Local Help application [1]. The linked CSV dataset is updated daily based on the latest changes to the datasets received from Assister and Agents/Broker backend systems.\n\n[1] https://localhelp.healthcare.gov",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1D",
      "modified": "2026-09-27",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS WDS API Team",
        "hasEmail": "mailto:cms-wds-api.group@adhocteam.us"
      },
      "theme": [
        "Assisters",
        "Agents",
        "Brokers"
      ],
      "keyword": [
        "assisters",
        "agents",
        "brokers",
        "localhelp"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Find Local Help - Assisters and Agents/Brokers Listing",
          "description": "CSV output of the backing dataset containing Assister and Agent/Broker listings used by the https://localhelp.healthcare.gov application.\n\nThis is updated daily based on the latest changes to the datasets received from Assister and Agents/Broker backend systems.",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/localhelp/prod/helpers.csv",
          "accessURL": "https://data.healthcare.gov/datafile/localhelp/prod/helpers.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/187f0104-6bcd-4d9f-89a6-d7ff055f539c",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rate PUF – PY2022",
      "identifier": "3edfe68f-b783-4e98-9120-20014dd0fe49",
      "description": "The Rate PUF (Rate-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The Rate-PUF contains plan-level data on rates based on an eligible subscriber’s age, tobacco use, and geographic location; and family-tier rates.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2022-08-10T12:00:00Z",
      "modified": "2022-08-17T13:30:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Rate",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2022"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2022/rate_puf.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/c14eac80-8cd0-4a53-8132-2e8385ad9b46",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Network PUF - PY2016",
      "identifier": "3eup-hrj4",
      "description": "The Network PUF (Ntwrk-PUF) is one of the seven files that make up the Marketplace PUF. The Ntwrk-PUF contains issuer-level data identifying provider network URLs. These data either originate from the Network ID template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2015-11-10T15:51:16Z",
      "modified": "2016-08-12T14:16:50Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Balaji",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/network-puf-2016.3eup-hrj4.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e90542bf-cf67-42f0-8f4e-e11261ecd8c6",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "featAuto_footnotes",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-09-25T14:18:32Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_featAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "footnotes csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20250924_ETL_DEV/footnotes.csv",
          "description": "{\"dataset\": \"footnotes\", \"stage\": \"featAuto\", \"update_id\": \"20250924_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "3f3a2024-8f74-5d4f-80d8-3ce4c1b72dce",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard state v3.9.22 (Development)",
      "identifier": "3f3dd079-167e-58ac-ac1b-dbbed02ae596",
      "modified": "2025-12-08T17:30:20Z",
      "distribution": [
        {
          "title": "Scorecard state v3.9.22 (Development)",
          "description": "Scorecard state v3.9.22 (Development)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.22/20251205/state.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "3f64-129e",
      "title": "Cardiology Office Visit Costs",
      "description": "Returns cardiology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Cardiology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/be5b5fc720c0215811fe6f7f35d125a1_1722902714/Cardiology.csv",
          "mediaType": "text/csv",
          "title": "Cardiology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Cardiology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/3f64-129e"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-01-02-to-2023-01-08",
      "identifier": "3fcf8272-a6ca-49a4-96aa-ef0d72563984",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-02-07T12:36:38Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-01-02-to-2023-01-08",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-01022023-to-01082023.csv"
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      "contactPoint": [
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          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
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      "modified": "2015-03-17",
      "issued": "2015-03-17",
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        "medicaid",
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        "prenatal care",
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        "sleep behavior"
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        }
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    },
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      "accessLevel": "public",
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        "@type": "Document",
        "title": "Medicare Spending Per Beneficiary - National",
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      "@type": "Dataset",
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      "released": "2026-08-13",
      "keyword": [
        "Medicare Spending per Beneficiary",
        "National"
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      "contactPoint": {
        "fn": "Hospital Compare",
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        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
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        ]
      },
      "identifier": "3n5g-6b7f",
      "description": "The Medicare Spending Per Beneficiary (MSPB) Measure shows whether Medicare spends more, less, or about the same for an episode of care (episode) at a specific hospital compared to all hospitals nationally. An MSPB episode includes Medicare Part A and Part B payments for services provided by hospitals and other healthcare providers the 3 days prior to, during, and 30 days following a patient's inpatient stay. This measure evaluates hospitals' costs compared to the costs of the national median (or midpoint) hospital. This measure takes into account important factors like patient age and health status (risk adjustment) and geographic payment differences (payment-standardization). The numbers displayed here are: 1) the average MSPB measure for the nation; and 2) the national episode-weighted median MSPB amount used as the denominator in the calculation of each hospital's MSPB measure.",
      "title": "Medicare Spending Per Beneficiary - National",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/ff15a8451b83ebc70b85a5c0e870a751_1785189965/Medicare_Hospital_Spending_Per_Patient-National.csv",
          "mediaType": "text/csv",
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            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Counties",
      "identifier": "3nee-n9ij",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-03-26T19:46:51Z",
      "modified": "2017-05-10T08:41:29Z",
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      "contactPoint": {
        "fn": "Franklin Williams",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare",
        "utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/counties.3nee-n9ij.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/cc0006af-7476-49dc-8df3-bf3b9798efd6",
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        "009:000"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": " QHP Landscape Instructions PY2015 Dental SHOP",
      "identifier": "3ped-rtwb",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-04-14T20:11:18Z",
      "modified": "2015-08-20T01:05:37Z",
      "publisher": {
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          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_Dent-SHOP-Land-_08-03-2015.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
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      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 NV Dental SHOP",
      "identifier": "3r5z-rcc4",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2014-11-13T17:20:41Z",
      "modified": "2015-08-20T00:56:44Z",
      "publisher": {
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        "name": "Office of Communications (OC)",
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        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
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      "keyword": [
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          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_NV-Dent-SHOP-Land-08-13-2015.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2015 NM Individual Medical",
      "identifier": "3r89-dc9s",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-04-14T20:19:35Z",
      "modified": "2015-08-20T01:10:10Z",
      "publisher": {
        "@type": "Organization",
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          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_NM-Med-Indi-Land-08-03-2015.pdf"
        }
      ],
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        "009:38"
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        "009:000"
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      "inventoried": "2026-09-27"
    },
    {
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        "009:38"
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      "programCode": [
        "009:000"
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      "accessLevel": "public",
      "keyword": [
        "healthcare",
        "utility"
      ],
      "contactPoint": {
        "hasEmail": "mailto:no-reply@data.healthcare.gov",
        "fn": "Hiko Naito - TylerTech/Socrata employee"
      },
      "dataQuality": true,
      "description": "Dataset.",
      "distribution": [
        {
          "title": "CSV",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/response-codes.3thg-9i7f.csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "3thg-9i7f",
      "title": "Response Codes",
      "issued": "2018-09-28T03:33:53Z",
      "modified": "2018-09-28T03:34:09Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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      "@type": "Dataset",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "3x54-3thk",
      "title": "2020 Final Assisted Reproductive Technology (ART) Success Rates",
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      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National ART Surveillance System",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
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      ],
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        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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            ]
          }
        ]
      },
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      "modified": "2023-06-23",
      "issued": "2023-06-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Assisted Reproductive Technology (ART)"
        }
      ],
      "keyword": [
        "success rates",
        "clinic",
        "assisted reproductive technology",
        "art",
        "services",
        "infertility",
        "fertility"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Reproductive Health (DRH)"
      },
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        {
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          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
      "rights": [
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      ],
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        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
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        "accessURL": "https://www.cdc.gov/art/reports/index.html",
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      },
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          "format": "CSV",
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    },
    {
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      "accessLevel": "public",
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      ],
      "contactPoint": {
        "fn": "Hospice QRP Public Reporting Help Desk",
        "hasEmail": "mailto:HospicePRquestions@cms.hhs.gov"
      },
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/99acd7cb72dd8cca86b7c9c9996d222e_1786385144/Hospice_National_Aug2026.csv",
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            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "3xeb-u9wp",
      "issued": "2026-08-07",
      "keyword": [
        "Measures",
        "Quality",
        "National",
        "Average",
        "Quality Reporting Program"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Hospice - National Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/3xeb-u9wp"
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      "released": "2026-08-26",
      "theme": [
        "Hospice care"
      ],
      "title": "Hospice - National Data",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Health Plan Business Rule Variables",
      "identifier": "3yfc-yz8a",
      "description": "QHP Landscape Health Plan Business Rule Variables",
      "accessLevel": "public",
      "issued": "2013-11-26T17:03:30Z",
      "modified": "2014-04-16T17:47:49Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/qhp-landscape-health-plan-business-rule-variables.3yfc-yz8a.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/c25e3894-2e34-4f34-bee0-b94f861e701f",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard TAG v0.3.0-1 (etl_test)",
      "modified": "2023-05-31T17:56:09Z",
      "distribution": [],
      "identifier": "4000fb2c-f5ac-5599-81ed-9443b7135416",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Medicaid Financial Management Data – National Totals",
      "identifier": "4011579c-33ea-5741-a763-a2558d635561",
      "description": "This dataset reports summary state-by-state total expenditures by program for the Medicaid Program, Medicaid Administration and CHIP programs.  These state expenditures are tracked through the automated Medicaid Budget and Expenditure System/State Children's Health Insurance Program Budget and Expenditure System (MBES/CBES).\n\nFor more information, visit https://medicaid.gov/medicaid/finance/state-expenditure-reporting/expenditure-reports/index.html.",
      "accessLevel": "public",
      "issued": "2018-04-10T01:10:15Z",
      "modified": "2024-12-11T21:31:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "CMS-64 Expenditures",
        "Financial Management",
        "National Totals"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-financial-management-data-national-totals.h7at-haku.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/8dd07005-0b37-49b5-b12f-9339a0ac7b5a",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2023"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2023 payments grouped by covered recipient and nature of payments",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_CR_BY_NTR_OF_PYMT_PGYR2023_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "4017acfa-0eeb-4b8a-b68c-3b41e779c4a2",
      "title": "2023 payments grouped by covered recipient and nature of payments",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2023-01-01",
          "endDate": "2023-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Test UTF-8",
      "identifier": "408360ff-07d7-4ffb-ba36-77b6291f2d76",
      "description": "Test",
      "accessLevel": "public",
      "modified": "2026-02-12T19:22:59Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/Testing12.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 03-30-2026 to 04-05-2026",
      "identifier": "40be3522-b0d5-4fff-9467-37c7df2b22dc",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2026-04-06T18:08:59Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
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        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-03-30-2026-to-04-05-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 20210906 to 20210912",
      "identifier": "41ec3131-feea-4dc3-917e-57fe26f87d96",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2021-10-13T07:42:56Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rpt-drugs-sept-20210906-to-20210912.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
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      ],
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      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSEt filters v2.10.6 (coreset-etl-test)",
      "modified": "2024-10-24T19:01:43Z",
      "distribution": [
        {
          "title": "CoreSEt filters v2.10.6 (coreset-etl-test)",
          "description": "CoreSEt filters v2.10.6 (coreset-etl-test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.6/20241023/filters.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "4256aa88-c7ba-582e-aec6-f6f905c70cb3",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "4269-8a74",
      "title": "Allergy/ Immunology Office Visit Costs",
      "description": "Returns allergy/ immunology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Allergy/ Immunology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/6497f42593cb2186e2a829c73e066587_1722902712/Allergy_Immunology.csv",
          "mediaType": "text/csv",
          "title": "Allergy_Immunology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Allergy/ Immunology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/4269-8a74"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Machine Readable PUF - PY2026",
      "identifier": "42a3801a-841f-43d9-b878-95b7a19a08b5",
      "description": "The Machine Readable PUF (MR-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The MR-PUF contains issuer-level URL locations for machine-readable network provider and formulary information.   ",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2026-05-20T04:00:00Z",
      "modified": "2026-05-26T18:30:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Machine Readable",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2026"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "xlsx",
          "downloadURL": "https://data.healthcare.gov/datafile/py2026/machine_readable_PUF.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-01-16-to-2023-01-22",
      "identifier": "43507fce-50ab-4ff4-8050-7d0b9665c2be",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-02-07T17:34:33Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-01-16-to-2023-01-22",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-01162023-to-01222023.csv"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Agent Broker Registration Tracker Glossary",
      "identifier": "435q-4vc4",
      "description": "Dataset.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2018-08-01T20:47:18Z",
      "modified": "2021-08-26T15:55:05Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "diaz_jonathan",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/Agent_Broker_Registration_Tracker_Glossary_0.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/cb9dbe6b-5734-49db-ae8c-a3842c9ee9b5",
            "title": "data.healthcare.gov"
          },
          "_update": "2026-04-10"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Indicators for 2021",
      "identifier": "43DCy8MC-mfUA-HFp8-eXnO-es8yxWyLMHgj",
      "description": "On December 27, 2020, the Consolidated Appropriations Act modified the Medicare Physician Fee Schedule (MPFS) for Calendar Year (CY) 2021.  Payment RVUs were recalculated due to this legislation and the CY 2021's Conversion Factor settled to $34.8931 (even with a one-time 3.75% increase).",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "modified": "2021-10-21T05:00:00Z",
      "license": "https://www.usa.gov/government-works",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2021-01-01T06:00:00Z",
          "endDate": "2021-12-31T17:59:59Z"
        }
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "theme": [
        "Medicare"
      ],
      "keyword": [
        "indicators",
        "2021"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Indicators table",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2021-10-21-2021.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Vaccinations Provided to the Medicaid and CHIP Population under age 19",
      "identifier": "43d419f9-f863-4f68-b622-311a8800100d",
      "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of vaccinations provided to Medicaid and CHIP beneficiaries under age 19 (as of the first day of the month), by state. The following vaccinations are included: Chickenpox, DTaP, HPV, Hepatitis A, Hepatitis B, Influenza, MMR, Meningococcal, Meningococcal B, Pneumococcal conjugate, Pneumococcal polysaccharide, Polio, Rotavirus, Tdap, and all vaccinations. \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating vaccination measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T15:06:36Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Vaccination",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas",
        "Services"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Vaccinations Provided to the Medicaid and CHIP Population under age 19",
          "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of vaccinations provided to Medicaid and CHIP beneficiaries under age 19 (as of the first day of the month), by state. The following vaccinations are included: Chickenpox, DTaP, HPV, Hepatitis A, Hepatitis B, Influenza, MMR, Meningococcal, Meningococcal B, Pneumococcal conjugate, Pneumococcal polysaccharide, Polio, Rotavirus, Tdap, and all vaccinations. \r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating vaccination measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/Vaccinations-Provided-to-the-MedicaidCHIP-Population-under-age-19.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/cb7cf763-da2c-447d-ad48-7e9d4ac10cb9",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "implAuto_measure_concernLevel",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-05T18:10:13Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_implAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_concernLevel csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/measure_concernLevel.csv",
          "description": "{\"dataset\": \"measure_concernLevel\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "44cf9d94-81fa-5190-8541-de8f16fc43d5",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard measure_value v3.1.16 (feature-dev)",
      "identifier": "44dbd0ee-54d0-5dff-b7a8-3dcdaf0f0b90",
      "modified": "2025-04-16T10:09:05Z",
      "distribution": [
        {
          "title": "Scorecard measure_value v3.1.16 (feature-dev)",
          "description": "Scorecard measure_value v3.1.16 (feature-dev)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.1.16/20250210/measure_value.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "2000 Physician Fee Schedule Data",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2000.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "44f63ce9-430f-4d56-ba46-cfe26452862b",
      "keyword": [
        "2000",
        "indicators"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Indicators for 2000",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "4533-9861",
      "title": "Opioid Treatment Program Office Visit Costs",
      "description": "Returns opioid treatment program office visit costs per zip code for new and established patients.",
      "keyword": [
        "Opioid Treatment Program"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/6ac0d653f0fa1b7a772eaac1ab2c8711_1722902750/Opioid_Treatment_Program.csv",
          "mediaType": "text/csv",
          "title": "Opioid_Treatment_Program.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Opioid Treatment Program Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/4533-9861"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2015 Child and Adult Health Care Quality Measures",
      "identifier": "45a28339-17a5-55e6-8e74-e9004fc703d8",
      "description": "Performance rates on frequently reported health care quality measures in the CMS Medicaid/CHIP Child and Adult Core Sets, for FFY 2015 reporting.\r\n\r\nSource: Mathematica analysis of MACPro and Form CMS-416 reports for the FFY 2015 reporting cycle. For more information, see the <a href=\"https://www.medicaid.gov/medicaid/quality-of-care/performance-measurement/child-core-set/index.html\">Children's Health Care Quality Measures</a> and <a href=\"https://www.medicaid.gov/medicaid/quality-of-care/performance-measurement/adult-core-set/index.html\">Adult Health Care Quality Measures</a> webpages.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "issued": "2016-12-01T19:27:09Z",
      "modified": "2018-10-25T21:52:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "theme": [
        "Quality"
      ],
      "keyword": [
        "Core Sets",
        "Performance Rates",
        "Quality Measures"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/2015-child-and-adult-health-care-quality-measures.7kj7-m9ih.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/46af8afb-a5cf-4be9-9071-151ad1b61998",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 08-17-2026 to 08-23-2026",
      "identifier": "45cbebe9-1c3c-417b-a59f-b61e27cfd733",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2026-08-24T16:46:59Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-08-17-2026-to-08-23-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Quality PUF - PY2023",
      "identifier": "4605f9bd-2d2c-46d5-9568-973545baf6e1",
      "description": "The Quality PUF contains 2022 quality ratings data for eligible Qualified Health Plans in PY2023 in states on HealthCare.gov. <br />\n\nAccess the Quality PUF and Data Dictionary Here - <a href=\"https://www.cms.gov/files/zip/quality-puf-py2023.zip\">Quality PUF and Data Dictionary</a>",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "describedBy": {
        "@type": "Distribution",
        "accessURL": "https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/QualityInitiativesGenInfo/ACA-MQI/Downloads/MQI-Downloads",
        "title": "cms.gov"
      },
      "modified": "2022-10-25T04:00:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Nidhi Singh-Shah",
        "hasEmail": "mailto:Nidhi.Singh-Shah@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Quality PUF 2023 Dataset",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/Quality%20PUF%20Oct%202022.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/bba3b8d8-064c-4d80-8a6f-49e4e8fce517",
            "title": "data.healthcare.gov"
          },
          "_update": "2026-04-10"
        },
        {
          "@type": "Distribution",
          "title": "Quality PUF 2023 Data Dictionary",
          "format": "xlsx",
          "downloadURL": "https://edit.data.healthcare.gov/sites/default/files/uploaded_resources/Quality%20PUF%20Data%20Dictionary%20Oct%202022.xlsx",
          "describedBy": {
            "@type": "Distribution",
            "accessURL": "https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/QualityInitiativesGenInfo/ACA-MQI/Downloads/MQI-Downloads",
            "title": "cms.gov"
          }
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-05-22-to-2023-05-28",
      "identifier": "46732f54-2971-48e2-b2ae-02d902ca6d33",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-05-30T04:00:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-05-22-to-2023-05-28",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-5-22-2023-to-5-28-2023_0.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Service Area PUF – PY2025",
      "identifier": "46925516-0fb4-4e60-b00d-b0d7f7ddc372",
      "description": "The Service Area PUF (SA-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The SA-PUF contains issuer-level data on geographic service areas including state, county, and zip code.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2025-08-06T04:00:00Z",
      "modified": "2025-08-12T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Service Area",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2025"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2025/service_area_PUF.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/cf346473-7a74-4ca7-a6cb-32c0bd943e89",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Medicaid Drug Rebate Program State Contact Information",
      "identifier": "46a5d780-feef-521a-af7b-25119ec3dc09",
      "description": "Contains each state's policy, rebate and technical contact information for the Medicaid Drug Rebate Program. Updated quarterly.",
      "accessLevel": "public",
      "issued": "2018-03-16T16:41:07Z",
      "modified": "2026-08-13T16:48:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Quarterly State Contact File"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/2Q2026StateContacts.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/4d13d318-13b5-40c1-8783-89ec58071066",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "PY 2024 Virtual Group Public Reporting: MIPS Measures and Attestations",
        "accessURL": "https://data.cms.gov/provider-data/dataset/46dc-a66c"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2021-06-04",
      "@type": "Dataset",
      "modified": "2026-08-18",
      "released": "2026-09-10",
      "keyword": [
        "Clinicians"
      ],
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:QPP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "46dc-a66c",
      "description": "This file contains performance information for Merit-Based Incentive Payment System (MIPS) Quality, Promoting Interoperability, and Improvement Activities performance information submitted by virtual groups.",
      "title": "PY 2024 Virtual Group Public Reporting: MIPS Measures and Attestations",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/be990a3967e6386441f4290f0f313388_1787091350/vg_public_reporting.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/physician/DOC_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Doctors and clinicians"
      ],
      "archiveExclude": false,
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "prodAuto_map",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-13T13:41:41Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "map csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/map.csv",
          "description": "{\"dataset\": \"map\", \"stage\": \"prodAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "46ea08d0-c3cc-5ecd-b665-18e50c2854fe",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan ID Crosswalk PUF – PY2023",
      "identifier": "46fdeb9e-921a-4141-a231-1bbe3dd14f61",
      "description": "The Plan ID Crosswalk PUF (CW-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The purpose of the CW-PUF is to map QHPs and SADPs offered through the Exchanges during the previous plan year to plans that will be offered through the Exchanges in the current plan year.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2022-10-19T04:00:00Z",
      "modified": "2022-10-25T21:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Plan ID Crosswalk",
        "PY2023",
        "Exchange PUF",
        "Marketplace PUF"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2023/plan_id_crosswalk_puf.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/5bf18cc9-c63e-4171-9e5b-ba9efebeeec8",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Business Rules PUF - PY2014",
      "identifier": "46ta-x4hv",
      "description": "The Business Rules PUF (BR-PUF) is one of the seven files that make up the Marketplace PUF. The BR-PUF contains plan-level data on the application of rates, such as allowed relationships (e.g., spouse, dependents) and tobacco use. These data either originate from the Business Rules template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2014-12-22T20:20:20Z",
      "modified": "2017-12-11T22:46:49Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/business-rules-puf-2014.46ta-x4hv.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/a26064b1-e69d-458c-af80-682ada8139f3",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Separate CHIP Enrollment by Month and State",
      "identifier": "4723da0d-4d04-46ce-8163-e4b58c8fe728",
      "description": "This dataset includes total enrollment in separate CHIP (S-CHIP) programs by month and state from April 2023 forward.\n<p><b>Sources:</b> T-MSIS Analytic Files (TAF) and state-submitted enrollment totals. The data notes indicate when a state’s monthly total was a state-submitted value, rather than from T-MSIS.<br />\n<b>Methods:</b> Enrollment includes individuals enrolled in S-CHIP at any point during the coverage month, excluding those enrolled in dental-only coverage. The S-CHIP enrollment in this report also excludes enrollees covered by Medicaid expansion CHIP, a program in which a state receives federal funding to expand Medicaid eligibility to optional targeted low-income children that meets the requirements of section 2103 of the Social Security Act.  If an individual is enrolled in both Medicaid or Medicaid-expansion CHIP and S-CHIP in a given month, TAF picks the program in which they were last enrolled.<br />\nUnless S-CHIP enrollment counts are replaced with a state-submitted value, each state's monthly S-CHIP enrollment is equal to the number of unique people in TAF with a CHIP_CODE = 3 (S-CHIP) and ELGBLTY_GRP_CD not equal to ‘66’ (Children Eligible for Dental Only Supplemental Coverage). More information about TAF is available at <a href=\"https://www.medicaid.gov/medicaid/data-systems/macbis/medicaid-chip-research-files/transformed-medicaid-statistical-information-system-t-msis-analytic-files-taf/index.html\">https://www.medicaid.gov/medicaid/data-systems/macbis/medicaid-chip-research-files/transformed-medicaid-statistical-information-system-t-msis-analytic-files-taf/index.html</a>. </p>\t\n<b>Note:</b> A historic dataset with S-CHIP enrollment by month and state from April 2023 to June 2024 is also available at: <a href=\"https://data.medicaid.gov/dataset/d30cfc7c-4b32-4df1-b2bf-e0a850befd77\">https://data.medicaid.gov/dataset/d30cfc7c-4b32-4df1-b2bf-e0a850befd77</a>. This historic dataset was created to fulfill reporting requirements under section 1902(tt)(1) of the Social Security Act, which was added by section 5131(b) of subtitle D of title V of division FF of the Consolidated Appropriations Act, 2023 (P.L. 117-328) (CAA, 2023). Please note that the methods used to count S-CHIP enrollees differ slightly between the two datasets; as a result, data users should exercise caution if comparing S-CHIP enrollment across the two datasets.<br />\n<b>State notes:</b>\n    Alaska, District of Columbia, Hawaii, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, South Carolina, Vermont, and Wyoming do not have S-CHIP programs.<br />\n    Maryland has an S-CHIP program for the from conception to end of pregnancy group that began in July 2023; April 2023 - June 2023 data for Maryland represents retroactive coverage.<br />\n   Oregon moved all its S-CHIP enrollees, other than those in the from conception to the end of pregnancy group, to a Medicaid-expansion CHIP program effective January 1, 2024.<br />\nCHIP: Children's Health Insurance Program",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P3M",
      "issued": "2024-12-27T13:22:02Z",
      "modified": "2026-09-25T18:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Child Enrollment",
        "Eligibility Determinations",
        "Applications",
        "Children's Health Insurance Program (CHIP)",
        "Program Enrollment"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/current-chip-caa-reporting-metrics-september-2026-release.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/d0406ae8-8b19-4108-8f1b-e14a46b0f810",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Presumptive Eligibility for Medicaid and CHIP Coverage",
      "identifier": "47329369-e935-5de3-880f-d6a85a5fe9d1",
      "description": "Health care providers and Head Start programs can play a major role in finding and enrolling uninsured children through presumptive eligibility. States can authorize “qualified entities” -- health care providers, community-based organizations, and schools, among others -- to screen for Medicaid and CHIP eligibility and immediately enroll children who appear to be eligible.\n\nPresumptive eligibility allows children to get access to Medicaid or CHIP services without having to wait for their application to be fully processed. Qualified entities can also help families gather the documents needed to complete the full application process, thereby reducing the administrative burden on States to obtain missing information.",
      "accessLevel": "public",
      "issued": "2016-07-13T18:03:19Z",
      "modified": "2019-01-24T00:18:34Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "theme": [
        "Eligibility"
      ],
      "keyword": [
        "Enrollment Strategies",
        "Presumptive Eligibility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/presumptive-eligibility-for-medicaid-and-chip-coverage.xjuw-wgmy.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rate PUF – PY2026",
      "identifier": "477ffb11-db39-44ae-9f96-40d9db2ba79f",
      "description": "The Rate PUF (Rate-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The Rate-PUF contains plan-level data on rates based on an eligible subscriber’s age, tobacco use, and geographic location; and family-tier rates.",
      "accessLevel": "public",
      "issued": "2026-08-04T04:00:00Z",
      "modified": "2026-08-10T14:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Rate",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2026"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2026/Rate_PUF.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "47QTCA20D002P",
      "title": "LRP Publications, Inc (LRP Media Group - online name)",
      "description": "Cyberfeds resources and the Workmans Compensation library are an online resources with relevant data/information regarding employee and labor relations matters.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Deanna Dick",
          "hasEmail": "mailto:Deanna.Dick@ihs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Human Resources",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Indian Health Service (IHS)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cyberfeds.com/",
        "title": "cyberfeds.com"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "LRP Publications"
        },
        {
          "@type": "Organization",
          "name": "Inc (LRP Media Group - online name)"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "Private vendor"
        }
      ],
      "creator": {
        "@type": "Agent",
        "name": "LRP Publications; Inc (LRP Media Group - online name)"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "CONTRACT-47QTCA20D002P",
          "type": "purchased data asset ID"
        }
      ],
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet measure_value v3.9.94 (CMS Development)",
      "identifier": "4804ca61-bb86-564d-83ab-51fcb94f0981",
      "modified": "2026-08-06T15:58:18Z",
      "distribution": [
        {
          "title": "CoreSet measure_value v3.9.94 (CMS Development)",
          "description": "CoreSet measure_value v3.9.94 (CMS Development)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.94/20260805/measure_value.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "48mw-5apu",
      "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County",
      "description": "2014 to 2016, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Heart Disease and Stroke Surveillance",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division for Heart Disease and Stroke Prevention (DHDSP)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-02-11",
      "issued": "2018-08-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Heart Disease & Stroke Prevention"
        }
      ],
      "keyword": [
        "county",
        "heart disease",
        "cardiovascular disease"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
        "title": "CDC Division for Heart Disease and Stroke Prevention, Interactive Atlas of Heart Disease and Stroke"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
        "title": "DHDSP Requests"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County",
          "description": "2014 to 2016, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
          "accessURL": "https://data.cdc.gov/d/48mw-5apu",
          "downloadURL": "https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Heart-Disease-Mortality-Data-Among-US-Adults-35-by/48mw-5apu/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Open Database License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-02-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/48mw-5apu",
            "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County Series",
          "description": "3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Outpatient and Ambulatory Surgery Consumer Assessment of Healthcare Providers and Systems (OAS CAHPS) survey for ambulatory surgical centers - Facility",
        "accessURL": "https://data.cms.gov/provider-data/dataset/48nr-hqxx"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-05",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Ambulatory Surgical Center",
        "Outpatient",
        "Survey",
        "CAHPS",
        "Surgery",
        "Outpatient Surgery"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "48nr-hqxx",
      "description": "A list of ambulatory surgical center ratings for the Outpatient and Ambulatory Surgery Consumer Assessment of Healthcare Providers and Systems (OAS CAHPS) survey. The OAS CAHPS survey collects information about patients' experiences of care in hospital outpatient departments (HOPDs) and ambulatory surgical centers (ASCs). The data are updated and reported each quarter with data from the most recently completed quarter replacing the oldest quarter of data.",
      "title": "Outpatient and Ambulatory Surgery Consumer Assessment of Healthcare Providers and Systems (OAS CAHPS) survey for ambulatory surgical centers - Facility",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/8392b7d74209bb3dc54ff1b09635e733_1785189943/ASCQR_OAS_CAHPS_BY_ASC.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 20210927 to 20211003",
      "identifier": "4928c3c9-0a03-459f-b1ce-ca692b22e2bd",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2021-10-13T07:42:38Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rpt-drugs-oct-20210927-to-20211003.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2023 Individual Dental",
      "identifier": "492db9fe-b288-4c5b-a75b-72c642fbc4bf",
      "description": "The Dental Individual Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to consumers in the individual market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2023-08-09T04:00:00Z",
      "modified": "2023-08-16T04:00:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Individual Market Dental",
        "Individual",
        "QHP Landscape Instructions",
        "SADP",
        "PY2023"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2023/den-ind-lndscp-in.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt measure_value v2.10.14 (coreset-dev)",
      "identifier": "49948457-e2d0-55a4-be39-82f0de8d72e1",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-06T01:25:28Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt measure_value v2.10.14 (coreset-dev)",
          "description": "CoreSEt measure_value v2.10.14 (coreset-dev)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.14/20241029/measure_value.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 03-25-2024-to-03-31-2024",
      "identifier": "49d67dfc-9432-4f63-bb99-a3eacf8bf93e",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2024-04-01T16:55:37Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 03-25-2024-to-03-31-2024",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-03-25-2024-to-03-31-2024.csv"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NADAC (National Average Drug Acquisition Cost) 2023",
      "identifier": "4a00010a-132b-4e4d-a611-543c9521280f",
      "description": "National Average Drug Acquisition Cost (NADAC) weekly reference data for the calendar year.",
      "accessLevel": "public",
      "modified": "2023-12-26T16:17:01Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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            "@type": "Organization",
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        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "National Average Drug Acquisition Cost (NADAC)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "NADAC (National Average Drug Acquisition Cost) 2023",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/nadac-national-average-drug-acquisition-cost-12-27-2023.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/de58d5ec-4515-494e-ae3f-620200f72989",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
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      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
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      ],
      "accessRights": "public",
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    },
    {
      "publisher": {
        "@type": "Organization",
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      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSEt state v2.10.6 (coreset-etl-test)",
      "modified": "2024-10-24T17:51:44Z",
      "distribution": [
        {
          "title": "CoreSEt state v2.10.6 (coreset-etl-test)",
          "description": "CoreSEt state v2.10.6 (coreset-etl-test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.6/20241023/state.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "4a0b8c8d-3725-5ab7-af6e-a67025589f85",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "4a4e-e0da",
      "title": "Otolaryngology Office Visit Costs",
      "description": "Returns otolaryngology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Otolaryngology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/4b718840da8d12b1a388ccd9c01ac45c_1722902754/Otolaryngology.csv",
          "mediaType": "text/csv",
          "title": "Otolaryngology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Otolaryngology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/4a4e-e0da"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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      },
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt version v2.10.22 (coreset-impl)",
      "identifier": "4a9e6829-475e-53e4-9f8e-4070ec39bdf1",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-15T00:26:12Z",
      "publisher": {
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      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt version v2.10.22 (coreset-impl)",
          "description": "CoreSEt version v2.10.22 (coreset-impl)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/2.10.22/20241029/version.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt pillar v2.10.22 (coreset-impl)",
      "identifier": "4acd783c-272d-5db4-b86d-361a297722de",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-15T00:10:39Z",
      "publisher": {
        "@type": "Organization",
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        "subOrganizationOf": [
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      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt pillar v2.10.22 (coreset-impl)",
          "description": "CoreSEt pillar v2.10.22 (coreset-impl)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/2.10.22/20241029/pillar.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
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      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Non-federal Acute Care Hospital Health IT Adoption and Use",
      "description": "The adoption and use of electronic health records is a key ONC priority. This page provides data access and documentation for the non-federal acute care hospital EHR adoption and use open data. These data include measures for electronic health record (EHR) adoption, patient health information exchange, including measures of interoperable exchange, and patient engagement capabilities.",
      "identifier": "4ace2vzk-eulv-7lnl-xxcj-kg2k8iivmu6m",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Non-federal Acute Care Hospital Health IT Adoption and Use landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/non-federal-acute-care-hospital-health-it-adoption-and-use"
      },
      "modified": "2021-12-15",
      "accrualPeriodicity": "annually",
      "keyword": [
        "health information technology",
        "health IT",
        "hospital",
        "adoption",
        "patient engagement",
        "health care facilities",
        "patient information"
      ],
      "relation": [
        "https://www.healthit.gov/data/apps/non-federal-acute-care-hospital-health-it-adoption-and-use",
        "https://www.healthit.gov/data/quickstats/non-federal-acute-care-hospital-electronic-health-record-adoption"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "4ai3-zynv",
      "title": "PLACES: Local Data for Better Health, Census Tract Data 2020 release",
      "description": "This dataset contains model-based census tract-level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2021-10-07",
      "issued": "2021-09-29",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "behaviors",
        "prevalence",
        "places",
        "outcomes",
        "census tract",
        "prevention",
        "brfss",
        "unhealthy"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, Census Tract Data 2020 release",
          "description": "This dataset contains model-based census tract-level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/4ai3-zynv",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/4ai3-zynv/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2021-10-07",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/4ai3-zynv",
            "title": "PLACES: Local Data for Better Health, Census Tract Data 2020 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Census Tract Data Series, 2020-2025",
          "description": "This dataset contains model-based census tract-level estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia (DC) at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-03-06-to-2023-03-12",
      "identifier": "4b1d87f3-f0dc-4e21-98c0-9c9d98724f1c",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-03-13T14:38:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-03-06-to-2023-03-12",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-3-6-2023-to-3-12-2023.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard MEASURE_VALUE vCORESET.1.1-test (coreset-local)",
      "modified": "2024-05-07T13:22:32Z",
      "distribution": [
        {
          "title": "Scorecard MEASURE_VALUE vCORESET.1.1-test (coreset-local)",
          "description": "Scorecard MEASURE_VALUE vCORESET.1.1-test (coreset-local)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/CORESET.1.1-test/20240430/MEASURE_VALUE.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "4b7403de-2d4b-5b0e-a3c3-af9e6a0152d7",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-10-09-to-2023-10-15",
      "identifier": "4b8b2176-9584-4edf-bc8e-48887cd6b0a1",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-10-16T04:00:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-10-09-to-2023-10-15",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-10-09-2023-to-10-15-2023.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_measure_allStates_downloadLink",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2026-02-02T20:37:24Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_allStates_downloadLink csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20260120_e2e_ETL_DEV/measure_allStates_downloadLink.csv",
          "description": "{\"dataset\": \"measure_allStates_downloadLink\", \"stage\": \"devAuto\", \"update_id\": \"20260120_e2e_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "4bc725b5-e88e-525c-880b-8547f0edd081",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "HHVBP Helpdesk",
        "hasEmail": "mailto:HHVBPquestions@cms.hhs.gov"
      },
      "description": "Cohort data on the HHVBP performance metrics.",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/bcb6f4d505a2bfc3b43663e31221fdff_1766534742/HHVBP_Cohort_PerformanceYear_2024.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/home_health/HHS_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "4c74-462e",
      "issued": "2025-12-22",
      "nextUpdateDate": "2027-01-13",
      "keyword": [
        "Home Health",
        "Home Health Value-Based Purchasing",
        "Quality",
        "Measures",
        "Performance",
        "Achievement Threshold",
        "Benchmark",
        "Linear Exchange Function",
        "LEF",
        "Adjusted Payment Percentage",
        "Payment Adjustment",
        "Cohort-level"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Expanded Home Health Value-Based Purchasing (HHVBP) Model - Cohort Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/4c74-462e"
      },
      "modified": "2025-12-23",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "released": "2026-01-14",
      "theme": [
        "Home health services"
      ],
      "title": "Expanded Home Health Value-Based Purchasing (HHVBP) Model - Cohort Data",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet measure_value v2.11.19-test (local)",
      "identifier": "4cc85461-9e3a-5914-979d-189492472e18",
      "modified": "2025-02-05T11:58:35Z",
      "distribution": [
        {
          "title": "CoreSet measure_value v2.11.19-test (local)",
          "description": "CoreSet measure_value v2.11.19-test (local)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/2.11.19-test/20241107/measure_value.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-10-30-to-2023-11-05",
      "identifier": "4d2b3013-7162-4ee7-8af3-849e41f0a7da",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-11-06T05:00:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-10-30-to-2023-11-05",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-10-30-2023-to-11-05-2023.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Section 1915(c) waiver program participants",
      "identifier": "4d4eaf55-33d3-4468-80b4-63553f4530ae",
      "description": "This data set includes annual counts and percentages of Medicaid and Children’s Health Insurance Program (CHIP) enrollees who received a well-child visit paid for by Medicaid or CHIP, overall and by five subpopulation topics: age group, race and ethnicity, urban or rural residence, program type, and primary language.\nThese results were generated using Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF) Release 1 data and the Race/Ethnicity Imputation Companion File. This data set includes Medicaid and CHIP enrollees in all 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands, except where otherwise noted. Enrollees in Guam, American Samoa, and the Northern Mariana Islands are not included. Results include enrollees with comprehensive Medicaid or CHIP benefits for all 12 months of the year and who were younger than age 19 at the end of the calendar year. Results shown for the race and ethnicity subpopulation topic exclude enrollees in the U.S. Virgin Islands. Results shown for the primary language subpopulation topic exclude select states with data quality issues with the primary language variable in TAF. Some rows in the data set have a value of \"DS,\" which indicates that data were suppressed according to the Centers for Medicare &amp; Medicaid Services’ Cell Suppression Policy for values between 1 and 10.\nThis data set is based on the brief: \"Medicaid and CHIP enrollees who received a well-child visit in 2020.\" Enrollees are identified as receiving a well-child visit in the year according to the Line 6 criteria in the Form CMS-416 reporting instructions. Enrollees are assigned to an age group subpopulation using age as of December 31st of the calendar year. Enrollees are assigned to a race and ethnicity subpopulation using the state-reported race and ethnicity information in TAF when it is available and of good quality; if it is missing or unreliable, race and ethnicity is indirectly estimated using an enhanced version of Bayesian Improved Surname Geocoding (BISG) (Race and ethnicity of the national Medicaid and CHIP population in 2020). Enrollees are assigned to an urban or rural subpopulation based on the 2010 Rural-Urban Commuting Area (RUCA) code associated with their home or mailing address ZIP code in TAF (Rural Medicaid and CHIP enrollees in 2020). Enrollees are assigned to a program type subpopulation based on the CHIP code and eligibility group code that applies to the majority of their enrolled-months during the year (Medicaid-Only Enrollment; M-CHIP and S-CHIP Enrollment). Enrollees are assigned to a primary language subpopulation based on their reported ISO language code in TAF (English/missing, Spanish, and all other language codes) (Primary Language). Please refer to the full brief for additional context about the methodology and detailed findings. Future updates to this data set will include more recent data years as the TAF data become available.",
      "accessLevel": "public",
      "modified": "2025-01-17T04:40:10Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Eligibility"
      ],
      "keyword": [
        "Medicaid",
        "Section 1915(C) Waivers",
        "T-MSIS Analytic Files (TAF)",
        "Home And Community-Based Services (HCBS)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/1915c-waiver-2020-2022-01162025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/cb13ae0b-ea2a-4c01-be24-9a5787ef9366",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NADAC (National Average Drug Acquisition Cost) 2015",
      "identifier": "4d7af295-2132-55a8-b40c-d6630061f3e8",
      "description": "National Average Drug Acquisition Cost (NADAC) weekly reference data for the calendar year.",
      "accessLevel": "public",
      "issued": "2014-11-07T15:54:00Z",
      "modified": "2021-08-23T17:58:12Z",
      "license": "https://www.usa.gov/government-works",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-01",
          "endDate": "2016-01-01"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "National Average Drug Acquisition Cost (NADAC)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/nadac-national-average-drug-acquisition-cost.a4y5-998d.4d7af295-2132-55a8-b40c-d6630061f3e8.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/de58d5ec-4515-494e-ae3f-620200f72989",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard measure v3.9.8 (CMS Test)",
      "modified": "2025-11-25T20:30:27Z",
      "distribution": [],
      "identifier": "4d874db2-76d2-56d8-abca-d4029bc7fda7",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2004",
      "identifier": "4d88c014-8989-5a88-bd21-17c1beed0dd3",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T13:23:37Z",
      "modified": "2026-04-03T04:11:55Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2004.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2024 Individual Medical",
      "identifier": "4d8a3f9d-ce6b-4e1c-a1a3-3903393d44ed",
      "description": "The Medical Individual Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to consumers in the individual market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2024-08-06T04:00:00Z",
      "modified": "2024-08-14T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2024",
        "QHP Landscape Instructions",
        "Individual Market Medical",
        "QHP",
        "Individual"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2024/med-ind-lndscp-in.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-08-28-to-2023-09-03",
      "identifier": "4df924c1-c00a-4387-bed6-3994a6aec8fe",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-09-05T21:25:55Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
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        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
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      },
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      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-08-28-to-2023-09-03",
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          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-08-28-2023-to-09-03-2023.csv",
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          "license": "http://www.usa.gov/publicdomain/label/1.0/"
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      ],
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    },
    {
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      "landingPage": {
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      },
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      "contactPoint": {
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        ]
      },
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        }
      ],
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    },
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        ]
      },
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        }
      ],
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      ],
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    },
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      "references": [
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      "inventoried": "2026-09-27"
    },
    {
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      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
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          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-5-29-2023-to-6-04-2023.csv",
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    },
    {
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        "accessURL": "https://data.cms.gov/provider-data/dataset/4gkm-5ypv"
      },
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      ],
      "issued": "2020-12-10",
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      "modified": "2026-07-22",
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      "keyword": [
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        "Readmissions",
        "Excess Days in Acute Care",
        "State",
        "Outpatient Surgery",
        "Outpatient",
        "Pneumonia",
        "Acute Myocardial Infarction",
        "Heart Failure",
        "Chronic Obstructive Pulmonary Disease",
        "Coronary Artery Bypass Graft",
        "Colonoscopy",
        "Total Hip and/or Total Knee Arthroplasty"
      ],
      "contactPoint": {
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      },
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          }
        ]
      },
      "identifier": "4gkm-5ypv",
      "description": "Unplanned Hospital Visits: state data. This data set includes state-level data for the hospital return days (or excess days in acute care [EDAC]) measures, the unplanned readmissions measures, and measures of unplanned hospital visits after outpatient procedures.",
      "title": "Unplanned Hospital Visits - State",
      "programCode": [
        "009:000"
      ],
      "distribution": [
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/73ce05bc6ecbb5def0e859818a906f7b_1785189970/Unplanned_Hospital_Visits-State.csv",
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            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      },
      "bureauCode": [
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      ],
      "issued": "2020-12-10",
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      "released": "2026-08-13",
      "keyword": [
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        "Reporting Period"
      ],
      "contactPoint": {
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      },
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          }
        ]
      },
      "identifier": "4j6d-yzce",
      "description": "Data Collection Periods for all measures.",
      "title": "Measure Dates",
      "programCode": [
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      ],
      "distribution": [
        {
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/633113381312e1fa86c8e0ba8b14ed0f_1785189963/Measure_Dates.csv",
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            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "landingPage": {
        "@type": "Document",
        "title": "Ambulatory Surgical Center Quality Measures - Facility",
        "accessURL": "https://data.cms.gov/provider-data/dataset/4jcv-atw7"
      },
      "bureauCode": [
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      ],
      "issued": "2025-10-01",
      "@type": "Dataset",
      "modified": "2025-12-16",
      "released": "2026-08-13",
      "keyword": [
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        "Colonoscopy"
      ],
      "contactPoint": {
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        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
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      },
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          }
        ]
      },
      "identifier": "4jcv-atw7",
      "description": "A list of ambulatory surgical centers participating in the Ambulatory Surgical Center Quality Reporting (ASCQR) Program and their performance rates.",
      "title": "Ambulatory Surgical Center Quality Measures - Facility",
      "programCode": [
        "009:000"
      ],
      "distribution": [
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/dd03994fc93e296bb0297f1cd43cc987_1770163552/ASC_Facility.csv",
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            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "landingPage": {
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        "title": "Provider Information",
        "accessURL": "https://data.cms.gov/provider-data/dataset/4pq5-n9py"
      },
      "bureauCode": [
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      ],
      "issued": "2026-02-01",
      "@type": "Dataset",
      "modified": "2026-08-01",
      "released": "2026-08-26",
      "nextUpdateDate": "2026-09-30",
      "keyword": [
        "General Information",
        "Address",
        "Location",
        "Ratings",
        "Beds",
        "Quality",
        "Staffing",
        "Penalties"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:BetterCare@cms.hhs.gov"
      },
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "4pq5-n9py",
      "description": "General information on currently active nursing homes, including number of certified beds, quality measure scores, staffing and other information used in the Five-Star Rating System. Data are presented as one row per nursing home.",
      "title": "Provider Information",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/328596835e6db31b2564cd733c3795f4_1786724150/NH_ProviderInfo_Aug2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/nursing_home/NH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Nursing homes including rehab services"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "4r2x-hcfq",
      "title": "PLACES: Local Data for Better Health, ZCTA Data 2024 release",
      "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related scocial needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at   www.cdc.gov/places.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-09-11",
      "issued": "2025-09-11",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "zip code",
        "prevalence",
        "zcta",
        "status",
        "risk",
        "prevention",
        "places",
        "outcomes",
        "health",
        "disability",
        "brfss",
        "behaviors"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, ZCTA Data 2024 release",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related scocial needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at   www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/4r2x-hcfq",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2024/4r2x-hcfq/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-09-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/4r2x-hcfq",
            "title": "PLACES: Local Data for Better Health, ZCTA Data 2024 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: ZCTA Dataset Series  2020-2025",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES from 2020-2025."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "4r3g-hv9c",
      "title": "Vision Service Plan (VSP)  –  Vision and Eye Health Surveillance",
      "description": "2016. This dataset is a de-identified summary table of vision and eye health data indicators from VSP, stratified by all available combinations of age group, race/ethnicity, sex, and state. VSP claims for VEHSS provides a convenience sample of vision insurance members representing approximately more than 1 in 4 of the U.S. population. VSP uses a web-based claims submissions system to collect and process claims. The denominator of the rates represents persons with VSP benefits as reported by employers, and is subject to some uncertainty.  VSP data for VEHSS include Service Utilization and Eye Health Condition indicators.  Certain ophthalmic conditions and procedures are covered by health insurance and are not covered by managed vision insurance, claims based eye disease prevalence may therefore be expected to undercount true prevalence.  Person level claims and person counts are not publically available.  Reported rates were suppressed for de-identification to ensure protection of patient privacy. Detailed information on VEHSS VSP analyses can be found on the VEHSS VSP webpage (link). Information on VSP data can be found on the VSP website (www.vsp.com). The VEHSS VSP dataset was last updated in June 2018.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vision and Eye Health Surveillance System",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Diabetes Translation (DDT)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-03-07",
      "issued": "2018-05-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vision & Eye Health"
        }
      ],
      "keyword": [
        "vsp",
        "medical diagnoses",
        "claims"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "DDT Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Vision Service Plan (VSP) – Vision and Eye Health Surveillance",
          "description": "2016. This dataset is a de-identified summary table of vision and eye health data indicators from VSP, stratified by all available combinations of age group, race/ethnicity, sex, and state. VSP claims for VEHSS provides a convenience sample of vision insurance members representing approximately more than 1 in 4 of the U.S. population. VSP uses a web-based claims submissions system to collect and process claims. The denominator of the rates represents persons with VSP benefits as reported by employers, and is subject to some uncertainty.  VSP data for VEHSS include Service Utilization and Eye Health Condition indicators.  Certain ophthalmic conditions and procedures are covered by health insurance and are not covered by managed vision insurance, claims based eye disease prevalence may therefore be expected to undercount true prevalence.  Person level claims and person counts are not publically available.  Reported rates were suppressed for de-identification to ensure protection of patient privacy. Detailed information on VEHSS VSP analyses can be found on the VEHSS VSP webpage (link). Information on VSP data can be found on the VSP website (www.vsp.com). The VEHSS VSP dataset was last updated in June 2018.",
          "accessURL": "https://data.cdc.gov/d/4r3g-hv9c",
          "downloadURL": "https://data.cdc.gov/Vision-Eye-Health/Vision-Service-Plan-VSP-Vision-and-Eye-Health-Surv/4r3g-hv9c/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-03-07",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/4r3g-hv9c",
            "title": "Vision Service Plan (VSP) – Vision and Eye Health Surveillance"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "4xf6-nrwk",
      "title": "Global Tobacco Surveillance System (GTSS) - Global Adult Tobacco Survey (GATS)",
      "description": "2008-2017. Centers for Disease Control and Prevention (CDC).   Office on Smoking and Health (OSH)  –  Global Tobacco Surveillance System (GTSS) - Global Adult Tobacco Survey (GATS).    The Global Adult Tobacco Survey (GATS) is the global standard to systematically monitor adult tobacco use and track key tobacco control indicators. GATS is a nationally representative household survey of adults 15 years of age or older, using a standard protocol. It is intended to generate comparable data within and across countries. GATS enhances countries' capacity to design, implement and evaluate tobacco control interventions.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-01-31",
      "issued": "2015-03-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Global Survey Data"
        }
      ],
      "keyword": [
        "osh",
        "gtss",
        "tobacco",
        "adult",
        "gats"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Global"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://nccd.cdc.gov/GTSSData/default/default.aspx",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://nccd.cdc.gov/GTSSData/default/default.aspx",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Global Tobacco Surveillance System (GTSS) - Global Adult Tobacco Survey (GATS)",
          "description": "2008-2017. Centers for Disease Control and Prevention (CDC).   Office on Smoking and Health (OSH) – Global Tobacco Surveillance System (GTSS) - Global Adult Tobacco Survey (GATS).    The Global Adult Tobacco Survey (GATS) is the global standard to systematically monitor adult tobacco use and track key tobacco control indicators. GATS is a nationally representative household survey of adults 15 years of age or older, using a standard protocol. It is intended to generate comparable data within and across countries. GATS enhances countries' capacity to design, implement and evaluate tobacco control interventions.",
          "accessURL": "https://data.cdc.gov/d/4xf6-nrwk",
          "downloadURL": "https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Adu/4xf6-nrwk/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-01-31",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/4xf6-nrwk",
            "title": "Global Tobacco Surveillance System (GTSS) - Global Adult Tobacco Survey (GATS)"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "4ya2-fkvt",
      "title": "CDC PRAMStat Data for 2008",
      "description": "2008. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "the Pregnancy Risk Assessment Monitoring System",
          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2015-03-16",
      "issued": "2015-03-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Maternal & Child Health"
        }
      ],
      "keyword": [
        "stress",
        "unintended pregnancy",
        "wic",
        "abuse",
        "alcohol use",
        "breastfeeding",
        "contraception",
        "infant health",
        "medicaid",
        "mental health",
        "morbidity",
        "obesity",
        "preconception health",
        "pregnancy history",
        "prenatal care",
        "reproductive health",
        "sleep behavior",
        "smoke exposure",
        "tobacco use"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/prams/index.htm",
        "title": "Centers for Disease Control and Prevention Division of Reproductive Health Pregnancy Risk Assessment Monitoring System (PRAMS)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/prams/index.htm",
        "title": "DRH Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC PRAMStat Data for 2008",
          "description": "2008. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
          "accessURL": "https://data.cdc.gov/d/4ya2-fkvt",
          "downloadURL": "https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2008/4ya2-fkvt/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2015-03-16",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/4ya2-fkvt",
            "title": "CDC PRAMStat Data for 2008"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "CDC PRAMStat Dataset Series",
          "description": "PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "4yy2-qa9v",
      "title": "2020 Final Assisted Reproductive Technology (ART) Summary",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatmentâ€™s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patientâ€™s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National ART Surveillance System",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-06-23",
      "issued": "2023-06-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Assisted Reproductive Technology (ART)"
        }
      ],
      "keyword": [
        "fertility",
        "infertility",
        "art",
        "services",
        "success rates",
        "assisted reproductive technology",
        "clinic"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Reproductive Health (DRH)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "ARTINFO"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2020 Final Assisted Reproductive Technology (ART) Summary",
          "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment's success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient's chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.",
          "accessURL": "https://data.cdc.gov/d/4yy2-qa9v",
          "downloadURL": "https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2020-Final-Assisted-Reproductive-Technology-ART-Su/4yy2-qa9v/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-06-23",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/4yy2-qa9v",
            "title": "2020 Final Assisted Reproductive Technology (ART) Summary"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Final Assisted Reproductive Technology (ART) Summary Series",
          "description": "The ART Summary dataset series provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment's success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient's chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "4yyu-3s69",
      "title": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Mortality (SAM)",
      "description": "2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable mortality (SAM) is the number of deaths caused by cigarette smoking based on diseases for which the U.S. Surgeon General has determined that cigarette smoking is a causal factor.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-01-31",
      "issued": "2015-09-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health Consequences and Costs"
        }
      ],
      "keyword": [
        "osh",
        "tobacco",
        "sam",
        "sammec"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Mortality (SAM)",
          "description": "2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable mortality (SAM) is the number of deaths caused by cigarette smoking based on diseases for which the U.S. Surgeon General has determined that cigarette smoking is a causal factor.",
          "accessURL": "https://data.cdc.gov/d/4yyu-3s69",
          "downloadURL": "https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/4yyu-3s69/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-01-31",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/4yyu-3s69",
            "title": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Mortality (SAM)"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Students Trained through ONC Workforce Programs",
      "description": "The Office of the National Coordinator for Health Information Technology (ONC) created the Community College Consortia to Educate Health IT Professionals in Health Care Program and University-based Training Program to increase the workforce of skilled health IT specialists that can help transition health care providers to electronic health records (EHRs). The Community College Consortia Program includes 82 member community colleges representing all 50 states, and the University-based Training Program includes 9 member universities in 9 states. The member community colleges and universities received funding to rapidly create health IT academic programs, or expand existing health IT training programs that can be completed in six months or less. This data provides the number of students trained through both programs, segmented by rural and urban areas for each U.S. state. The data is through September, 2013: the duration of the program. This data is an artifact of ONC's performance measurement for the Recovery and HITECH Acts",
      "identifier": "4zpu3gv4-vo8i-wwb6-6wfi-gd6i7vzqsqo3",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Students Trained through ONC Workforce Programs landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/students-trained-through-onc-workforce-programs"
      },
      "modified": "2014-06-01",
      "keyword": [
        "ONC Community College Consortia",
        "Health IT",
        "health information",
        "grantees",
        "health IT professionals"
      ],
      "relation": [
        "http://www.healthit.gov/facas/sites/faca/files/Workforce%20Evaluation%20Briefing%20for%20FACA%20Committee%2009%2010.pdf",
        "https://www.healthit.gov/data/quickstats/hitech-workforce-development-programs"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "501b-ecd4",
      "title": "Gastroenterology Office Visit Costs",
      "description": "Returns gastroenterology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Gastroenterology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/7fe17b7747df29ef2a791aada41c7be9_1722902726/Gastroenterology.csv",
          "mediaType": "text/csv",
          "title": "Gastroenterology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Gastroenterology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/501b-ecd4"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-12-04-to-2023-12-10",
      "identifier": "509b91a3-0fb5-449a-bbf2-40e987e45ed3",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-12-12T13:24:33Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-12-04-to-2023-12-10",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-12-04-2023-to-12-10-2023.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PI dataset",
      "identifier": "50a46484-9a54-42d0-8da6-509a8b5656c0",
      "description": "All states (including the District of Columbia) are required to provide data to The Centers for Medicare &amp; Medicaid Services (CMS) on a range of indicators related to key application, eligibility, and enrollment processes within the state Medicaid and Children’s Health Insurance Programs (CHIP). These data reflect enrollment activity for all populations receiving comprehensive Medicaid and CHIP benefits in all states, as well as state program performance.",
      "accessLevel": "public",
      "modified": "2024-10-22T15:41:14Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/pi-dataset-test1.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/0ba47b54-b751-4065-aceb-cfd086d7673b",
            "title": "data.medicaid.gov"
          }
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Benefit Package for Medicaid and CHIP Beneficiaries by Year",
      "identifier": "50f83c5a-6fa9-4e91-b36c-3d3e225c905f",
      "description": "This data set presents annual enrollment counts of Medicaid and CHIP beneficiaries by benefit package (full-scope, comprehensive, limited, or unknown). There are three metrics presented: (1) the number of beneficiaries ever enrolled with each benefit package over the year (duplicated count); (2) the number of beneficiaries enrolled with each benefit package as of an individual’s last month of enrollment (unduplicated count); and (3) average monthly enrollment with each benefit package. \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating these measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable or of high concern based on DQ Atlas thresholds for the topic Restricted Benefits Code. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.\n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T16:50:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Program Enrollment",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Benefit Package for Medicaid and CHIP Beneficiaries by Year",
          "description": "This data set presents annual enrollment counts of Medicaid and CHIP beneficiaries by benefit package (full-scope, comprehensive, limited, or unknown). There are three metrics presented: (1) the number of beneficiaries ever enrolled with each benefit package over the year (duplicated count); (2) the number of beneficiaries enrolled with each benefit package as of an individual’s last month of enrollment (unduplicated count); and (3) average monthly enrollment with each benefit package. \r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating these measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable or of high concern based on DQ Atlas thresholds for the topic Restricted Benefits Code. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/BenefitPackage-anul.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/407b1e31-27a5-42c5-947a-374aa67dbf02",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt state v2.10.16 (coreset-dev0)",
      "identifier": "51548560-0fd0-501d-8bbc-e5695b2ebcfa",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-12T22:23:51Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt state v2.10.16 (coreset-dev0)",
          "description": "CoreSEt state v2.10.16 (coreset-dev0)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.16/20241029/state.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "ONC Community College Consortia to Educate Health IT Professionals Program Key Performance Indicators (KPIs)",
      "description": "The Office of the National Coordinator for Health Information Technology (ONC) created the Community College Consortia to Educate Health IT Professionals in Health Care Program to increase the workforce of skilled health IT specialists that can help transition health care providers to electronic health records (EHRs). The Community College Consortia Program includes 82 member community colleges representing all 50 states. The member community colleges received funding to rapidly create health IT academic programs, or expand existing health IT training programs that can be completed in six months or less. This data provides key performance indicators by U.S. state. The data is provided beginning in September, 2010 and through September, 2013: the duration of the program. This data is an artifact of ONC's performance measurement for the Recovery and HITECH acts.",
      "identifier": "51r770k2-dmbo-1kp5-9582-4gn8mameur80",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "ONC Community College Consortia to Educate Health IT Professionals Program Key Performance Indicators (KPIs) landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/onc-community-college-consortia-educate-health-it-professionals-program-key"
      },
      "modified": "2014-06-01",
      "keyword": [
        "health information",
        "health IT",
        "health IT professionals",
        "key indicators",
        "health data",
        "training",
        "trainee",
        "grants",
        "ONC Community College Consortia"
      ],
      "relation": [
        "http://www.healthit.gov/facas/sites/faca/files/Workforce%20Evaluation%20Briefing%20for%20FACA%20Committee%2009%2010.pdf"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 10-06-2025-to-10-12-2025",
      "identifier": "523f89bd-175a-4aa2-837d-be27be710ef9",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-10-27T17:59:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-10-06-2025-to-10-12-2025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard measure v3.9.9 (CMS Test)",
      "modified": "2025-11-25T21:03:55Z",
      "distribution": [],
      "identifier": "524d9d50-13e6-5974-821c-d80a08706e71",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-08-14-to-2023-08-20",
      "identifier": "52b6029b-6833-45d0-b3bf-aa5b8bf7fd92",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-10-17T15:55:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-08-14-to-2023-08-20",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-08-14-2023-to-08-20-2023-10172025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Pricing Comparison for Blood Disorder Treatments (Pricing as of 12/1/2021)",
      "identifier": "52d7cf12-5c8d-450c-884d-7dca2632142a",
      "description": "The Reference Document link for the downable Blood Disorder Treatment Spreadsheet can be accessed below under the Additional Information table under Related Documents.",
      "accessLevel": "public",
      "modified": "2022-12-20T12:30:55Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Drug Products"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/Clotting-Factor-Dec2021.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "references": [
        "https://download.medicaid.gov/data/Spreadsheet_Footnotes.pdf"
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Managed Care Enrollment Summary",
      "identifier": "52ed908b-0cb8-5dd2-846d-99d4af12b369",
      "description": "2024 Medicaid Managed Care Enrollment Summary\n\nThe Medicaid Managed Care Enrollment Summary table (Table 1 in the Enrollment Report) displays each state and territory’s total number of Medicaid enrollees, total managed care enrollment, number of enrollees in comprehensive managed care, and the number of enrollees in comprehensive managed care under the Affordable Care Act’s Section VIII Expansion. \n\n1.\tThe “Total Medicaid Enrollees” column represents an unduplicated count of all enrollees in FFS and any type of managed care, including Medicaid-only and dually eligible individuals receiving full Medicaid benefits or Medicaid cost sharing.\n2.\tThe “Total Medicaid Enrollment in Any Type of Managed Care” column represents an unduplicated count of enrollees in any Medicaid managed care program, including comprehensive MCOs, limited benefit plans such as prepaid inpatient and ambulatory health plans, PCCMs, and PCCM Entities.\n3.\tThe “Medicaid Enrollment in Comprehensive Managed Care” column represents a count of Medicaid enrollees in a managed care plan that provides comprehensive benefits (acute, primary care, specialty, and any other), or PACE program. It excludes enrollees in a Financial Alignment Demonstration Medicare-Medicaid Plan as their only form of managed care.\n4.\tThe “Medicaid Enrollment in Comprehensive MCOs Under ACA Section VIII Expansion” column is a subset of the total reported in the “Total Medicaid Enrollment in Any Type of Managed Care” column and includes individuals enrolled in comprehensive MCOs and who are low-income adults, with or without dependent children, eligible for Medicaid under ACA Section VIII.\n5.\tWhile Colorado did not report a Comprehensive Managed Care program in their 2024 data submission, the state operates Accountable Care Organization-PCCM-E collaboratives that the state considers to be comprehensive managed care.\n6.\tTennessee’s 2024 data submission indicated that they were unable to provide an unduplicated count of enrollees in comprehensive MCO programs. Because Tennessee operates a comprehensive MCO program and a PACE program, their reported “Total Medicaid Enrollment in Any Type of Managed Care” was used to populate “Medicaid Enrollment in Comprehensive Managed Care” in Table 1.\n\nNotes: \"--\" indicates the state or territory does not operate a specific program type or does not have a managed care program.\nTen states (California, Michigan, Minnesota, Missouri, New Jersey, Nevada, Ohio, Oregon, Virginia, Washington) reported data for “Medicaid Enrollment in Comprehensive Managed Care” that was greater than “Total Medicaid Enrollment in Any Type of Managed Care” but did not provide an explanation for why the number was greater. \n\nAlaska, American Samoa, Connecticut, Guam, Northern Mariana Islands, and the U.S. Virgin Islands do not operate Medicaid managed care programs. For these states and territories, the “Total Medicaid Enrollees” reported in this table is total Medicaid enrollment as of June 1, 2024, from the Medicaid Budget and Expenditure System, accessed on April 23, 2025. See https://data.medicaid.gov/dataset/6c114b2c-cb83-559b-832f-4d8b06d6c1b9/.\t\n\n2023 Medicaid Managed Care Enrollment Summary\n\nThe Medicaid Managed Care Enrollment Summary table (Table 1 in the Enrollment Report) displays each state and territory’s total number of Medicaid enrollees, total managed care enrollment, number of enrollees in comprehensive managed care, and the number of enrollees in comprehensive managed care under the Affordable Care Act’s Section VIII Expansion. \n\n1.\tThe “Total Medicaid Enrollees” column represents an unduplicated count of all enrollees in FFS and any type of managed care, including Medicaid-only and dually eligible individuals receiving full Medicaid benefits or Medicaid cost sharing.\n2.\tThe “Total Medicaid Enrollment in Any Type of Managed Care” column represents an unduplicated count of enrollees in any Medicaid managed care program, including comprehensive MCOs, limited benefit plans such as prepaid inpatient and ambulatory health plans, PCCMs, and PCCM Entities.\n3.\tThe “Medicaid Enrollment in Comprehensive Managed Care” column represents a count of Medicaid enrollees in a managed care plan that provides comprehensive benefits (acute, primary care, specialty, and any other), or PACE program. It excludes enrollees in a Financial Alignment Demonstration Medicare-Medicaid Plan as their only form of managed care.\n4.\tThe “Medicaid Enrollment in Comprehensive MCOs Under ACA Section VIII Expansion” column is a subset of the total reported in the “Total Medicaid Enrollment in Any Type of Managed Care” column and includes individuals enrolled in comprehensive MCOs and who are low-income adults, with or without dependent children, eligible for Medicaid under ACA Section VIII.\n5.\tWhile Colorado did not report a Comprehensive Managed Care program in their 2023 data submission, the state operates Accountable Care Organization-PCCM-E collaboratives that the state considers to be comprehensive managed care.\n6.\tTennessee’s 2023 data submission indicated that they were unable to provide an unduplicated count of enrollees in comprehensive MCO programs. Because Tennessee operates a comprehensive MCO program and a PACE program, their reported “Total Medicaid Enrollment in Any Type of Managed Care” was used to populate “Medicaid Enrollment in Comprehensive Managed Care” in Table 1.\n\nNotes: “--” indicates the state or territory does not operate a specific program type or does not have a managed care program. \nNine states (Michigan, Minnesota, Missouri, New Jersey, Nevada, Ohio, Oregon, Virginia, Washington) reported data for “Medicaid Enrollment in Comprehensive Managed Care” that was greater than “Total Medicaid Enrollment in Any Type of Managed Care” but did not provide an explanation for why the number was greater. One of these states (Michigan) reported data for “Medicaid Enrollment in Comprehensive Managed Care” that was greater than “Total Medicaid Enrollees” but did not provide an explanation for why the number was greater.\n\nAlaska, American Samoa, Connecticut, Guam, Northern Mariana Islands, and the U.S. Virgin Islands do not operate Medicaid managed care programs. For these states and territories, the “Total Medicaid Enrollees” reported in this table is total Medicaid enrollment as of July 1, 2023, from the Medicaid Budget and Expenditure System, accessed on April 23, 2025. See https://data.medicaid.gov/dataset/6c114b2c-cb83-559b-832f-4d8b06d6c1b9/.",
      "accessLevel": "public",
      "issued": "2017-12-01T17:25:07Z",
      "modified": "2026-02-11T23:28:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/managed-care-enrollment-summary-2024-table1.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2020"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2020 payments grouped by reporting entities, covered recipient, and nature of payments",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_AMGPO_BY_CR_BY_NTR_OF_PYMT_PGYR2020_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "532df191-473f-4bcc-9056-a6260b9437b5",
      "title": "2020 payments grouped by reporting entities, covered recipient, and nature of payments",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-01",
          "endDate": "2020-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_files_stateSnapshot",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2022-09-21T17:02:29Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "files_stateSnapshot csv file",
          "description": "{\"dataset\": \"files_stateSnapshot\", \"stage\": \"devAuto\", \"update_id\": \"20220921_v2_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "53426d8c-82b5-5dec-b44b-0f935b4603e5",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Managed Long Term Services and Supports (MLTSS) Enrollees",
      "identifier": "5394bcab-c748-5e4b-af07-b5bf77ed3aa3",
      "description": "2024 Managed Long-Term Services and Supports (MLTSS) Enrollment\n\nThe Managed Long-Term Services and Supports (MLTSS) Enrollment table (Table 6 in the Enrollment Report) displays the Medicaid LTSS users in comprehensive managed care and MLTSS-only program enrollees nationally, and by state both numerically and as a percentage of each state’s total Medicaid managed care population.\n\n1.\tThe “Comprehensive Managed Care Including LTSS” column does not include PACE programs.\nNotes: \"--\" indicates the state or territory does not operate a specific program type. “0” indicates that a state operated a program of this type in 2024, but had no enrollment to report as of July 1, 2024, or reported 0 LTSS enrollees within their Comprehensive Managed Care program. \n\nEnrollment and user counts include both Medicaid-only and dually eligible individuals. For both types of enrollees, Medicaid covers LTSS. For dually eligible individuals, Medicaid may also cover Medicare cost-sharing for acute, primary care, and specialty services covered by Medicare and other non-LTSS services that are not covered by Medicare.\n\n2023 Managed Long-Term Services and Supports (MLTSS) Enrollment\n\nThe Managed Long-Term Services and Supports (MLTSS) Enrollment table (Table 6 in the Enrollment Report) displays the Medicaid LTSS users in comprehensive managed care and MLTSS-only program enrollees nationally, and by state both numerically and as a percentage of each state’s total Medicaid managed care population.\n\n1.\tThe “Comprehensive Managed Care Including LTSS” column does not include PACE programs.\n\nNotes: \"--\" indicates the state or territory does not operate a specific program type. “0” indicates that a state operated a program of this type in 2023, but had no enrollment to report as of July 1, 2023, or reported 0 LTSS enrollees within their Comprehensive Managed Care program.\n\nEnrollment and user counts include both Medicaid-only and dually eligible individuals. For both types of enrollees, Medicaid covers LTSS. For dually eligible individuals, Medicaid may also cover Medicare cost-sharing for acute, primary care, and specialty services covered by Medicare and other non-LTSS services that are not covered by Medicare.",
      "accessLevel": "public",
      "issued": "2017-12-09T03:15:55Z",
      "modified": "2026-02-11T12:53:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Jeff Chamblee",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/managed-long-term-services-and-supports-mltss-enrollees2024-table6.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2016",
      "identifier": "53cf9f05-97e3-5bd6-a237-bc971e3642d9",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2016-08-01T19:24:51Z",
      "modified": "2026-04-03T17:28:43Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2016.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 02-05-2024-to-02-11-2024",
      "identifier": "5457e951-66dc-42aa-a626-2704bce39266",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2024-02-12T20:44:59Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 02-05-2024-to-02-11-2024",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-02-05-2024-to-02-11-2024.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          }
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-07-10-to-2023-07-16",
      "identifier": "55978f20-d0db-49a0-a304-1c4471367a95",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-07-18T14:44:33Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-07-10-to-2023-07-16",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-07-10-2023-to-07-16-2023_0.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Service Area PUF – PY2026",
      "identifier": "55c47876-cfdd-438c-964e-7f88093b7ef2",
      "description": "The Service Area PUF (SA-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The SA-PUF contains issuer-level data on geographic service areas including state, county, and zip code. ",
      "accessLevel": "public",
      "issued": "2026-08-04T04:00:00Z",
      "modified": "2026-08-10T14:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Service Area",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2026"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2026/service_area_PUF.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "55yu-xksw",
      "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County  –  2019-2021",
      "description": "2019 to 2021, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Heart Disease and Stroke Surveillance",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division for Heart Disease and Stroke Prevention (DHDSP)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-01-30",
      "issued": "2024-02-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Heart Disease & Stroke Prevention"
        }
      ],
      "keyword": [
        "heart",
        "heart disease",
        "cardiovascular",
        "cardiovascular disease",
        "counties",
        "county"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
        "title": "CDC Division for Heart Disease and Stroke Prevention, Interactive Atlas of Heart Disease and Stroke"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
        "title": "DHDSP Requests"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2019-2021",
          "description": "2019 to 2021, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
          "accessURL": "https://data.cdc.gov/d/55yu-xksw",
          "downloadURL": "https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Heart-Disease-Mortality-Data-Among-US-Adults-35-by/55yu-xksw/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-01-30",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/55yu-xksw",
            "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2019-2021"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County Series",
          "description": "3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "HealthCare.gov Transitions Marketplace Medicaid Unwinding Report",
      "identifier": "5636a78c-fe18-4229-aee1-e40fa910a8a0",
      "description": "Metrics from individual Marketplaces during the current reporting period. The report includes data for the states using HealthCare.gov.<br />\n<b>Sources:</b> HealthCare.gov application and policy data through October 6, 2024, HealthCare.gov inbound account transfer data through November 7, 2024, and T-MSIS Analytic Files (TAF) through July 2024 (TAF version 7.1). The table includes states that use HealthCare.gov.<br />\n<b>Notes: </b>\n<ol>\n<li>This table includes Marketplace consumers who submitted a HealthCare.gov application from March 6, 2023 - October 6, 2024 or who had an inbound account transfer from April 3, 2023 - November 7, 2024, who can be linked to an enrollment record in TAF that shows a last day of Medicaid or CHIP enrollment from March 31, 2023 - July 31, 2024. Beneficiaries with a leaving event may have continuous coverage through another coverage source, including Medicaid or CHIP coverage in another state. However, a beneficiary that lost Medicaid or CHIP coverage and regained coverage in the same state must have a gap of at least 31 days or a full calendar month.</li>\n<li>This table includes Medicaid or CHIP beneficiaries with full benefits in the month they left Medicaid or CHIP coverage.</li>\n<li>‘Account Transfer Consumers Whose Medicaid or CHIP Coverage was Terminated’ are consumers 1) whose full benefit Medicaid or CHIP coverage was terminated and 2) were sent by a state Medicaid or CHIP agency via secure electronic file to the HealthCare.gov Marketplace in a process referred to as an inbound account transfer either 2 months before or 4 months after they left Medicaid or CHIP.  'Marketplace Consumers Not on Account Transfer Whose Medicaid or CHIP Coverage was Terminated' are consumers 1) who applied at the HealthCare.gov Marketplace and 2) were not sent by a state Medicaid or CHIP agency via an inbound account transfer either 2 months before or 4 months after they left Medicaid or CHIP.</li> \n<li>Marketplace consumers counts are based on the month Medicaid or CHIP coverage was terminated for a beneficiary. Counts include all recent Marketplace activity.</li>\n<li>HealthCare.gov data are organized by week. Reporting months start on the first Monday of the month and end on the first Sunday of the next month when the last day of the reporting month is not a Sunday. HealthCare.gov data are through Sunday, October 6.</li>\n<li>Data are preliminary and will be restated over time to reflect consumers most recent HealthCare.gov status. Data may change as states resubmit T-MSIS data or data quality issues are identified.</li>\n<li>See the data and methodology documentation for a full description of the data sources, measure definitions, and general data limitations.</li>\n</ol>\t\t\t\n<b>Data notes:</b> <ol>\n<li> The percentages for the 'Marketplace Consumers Not on Account Transfer whose Medicaid or CHIP Coverage was Terminated' data record group are marked as not available (NA) because the full population of consumers without an account transfer was not available for this report.</li>\n<li>Virginia operated a Federally Facilitated Exchange (FFE) on the HealthCare.gov platform during 2023.  In 2024, the state started operating a State Based Marketplace (SBM) platform. This table only includes data about 2023 applications and policies obtained through the HealthCare.gov Marketplace. Due to limited Marketplace activity on the HealthCare.gov platform in November 2023, data from November 2023 onward are excluded. The cumulative count and percentage for Virginia and the HealthCare.gov total reflect Virginia data from April 2023 through October 2023.</li>\t\n</ol>\t\t\t\t\nAPTC: Advance Premium Tax Credit; CHIP: Children's Health Insurance Program; QHP: Qualified Health Plan; NA: Not Available",
      "accessLevel": "public",
      "issued": "2023-09-29T19:21:05Z",
      "modified": "2024-12-27T18:54:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Unwinding"
      ],
      "keyword": [
        "Marketplace",
        "Coverage Transitions"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/healthcare.gov-transitions-data-december-2024-release.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/219c6e0c-7c70-41cf-a014-915ee6f51f84",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/healthcare.gov-transitions-data-december-2024-release.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State-based Marketplace (SBM) Medicaid Unwinding Report",
      "identifier": "5670e72c-e44e-4282-ab67-4ebebaba3cbd",
      "description": "Metrics from individual Marketplaces during the current reporting period. The report includes data for the states using State-based Marketplaces (SBMs) that use their own eligibility and enrollment platforms<br />\n<b>Source:</b> State-based Marketplace (SBM) operational data submitted to CMS. Each monthly reporting period occurs during the first through last day of the reported month. SBMs report relevant Marketplace activity from April 2023 (when unwinding-related renewals were initiated in most SBMs) through the end of a state’s Medicaid unwinding renewal period and processing timeline, which will vary by SBM.  Some SBMs did not receive unwinding-related applications during reporting period months in April or May 2023 due to renewal processing timelines. SBMs that are no longer reporting Marketplace activity due to the completion of a state’s Medicaid unwinding renewal period are marked as NA. Some SBMs may revise data from a prior month and thus this data may not align with that previously reported. For April, Idaho’s reporting period was from February 1, 2023 to April 30, 2023.<br />\t\t\n<b>Notes:</b>\n<ol>\n<li>This table represents consumers whose Medicaid/CHIP coverage was denied or terminated following renewal and 1) whose applications were processed by an SBM through an integrated Medicaid, CHIP, and Marketplace eligibility system or 2) whose applications/information was sent by a state Medicaid or CHIP agency to an SBM through an account transfer process. Consumers who submitted applications to an SBM that can be matched to a Medicaid/CHIP record are also included. See the \"Data Sources and Metrics Definition Overview\" at http://www.medicaid.gov for a full description of the differences between the SBM operating systems and resulting data metrics, measure definitions, and general data limitations. As of the September 2023 report, this table was updated to differentiate between SBMs with an integrated Medicaid, CHIP, and Marketplace eligibility system and those with an account transfer process to better represent the percentage of QHP selections in relation to applicable consumers received and processed by the relevant SBM. State-specific variations are:      \n- Maine’s data and Nevada’s April and May 2023 data report all applications with Medicaid/CHIP denials or terminations, not only those part of the annual renewal process. \n- Connecticut, Massachusetts, and Washington also report applications with consumers determined ineligible for Medicaid/CHIP due to procedural reasons.\n- Minnesota and New York report on eligibility and enrollment for their Basic Health Programs (BHP). Effective April 1, 2024, New York transitioned its BHP to a program operated under a section 1332 waiver, which expands eligibility to individuals with incomes up to 250% of FPL. As of the March 2024 data, New York reports on consumers with expanded eligibility and enrollment under the section 1332 waiver program in the BHP data.\n- Idaho’s April data on consumers eligible for a QHP with financial assistance do not depict a direct correlation to consumers with a QHP selection.\n- Virginia transitioned from using the HealthCare.gov platform in Plan Year 2023 to an SBM using its own eligibility and enrollment platform in Plan Year 2024. Virginia's data are reported in the HealthCare.gov and HeathCare.gov Transitions Marketplace Medicaid Unwinding Reports through the end of 2024 and is available in SBM reports as of the April 2024 report. Virginia's SBM data report all applications with Medicaid/CHIP denials or terminations, not only those part of the annual renewal process, and as a result are not directly comparable to their data in the HealthCare.gov data reports.\n- Only SBMs with an automatic plan assignment process have and report automatic QHP selections. These SBMs make automatic plan assignments into a QHP for a subset of individuals and provide a notification of options regarding active selection of an alternative plan and/or, if applicable, making the first month’s premium payment.  </li>\n\n<li>SBMs report on all applicable applications received and not on the Medicaid-defined cohorts of individuals whose renewal is due in a given month. The data in this table are not cumulative and count unique Marketplace activities during the reporting period month in which the relevant activity occurs. As such, activities by any one consumer may be included across reporting months. For example, a consumer who submits an application and receives a determination of QHP eligibility may be counted in one month but his/her plan selection could be counted in a later month. Thus, the percentages do not necessarily depict a direct correlation to the count of consumers on applications received during the current reporting month. Total counts represent activity across the reporting months and are not cumulative as of the latest reporting month. Updated applications in the reporting month are only counted once. Updated applications in a following month may be counted again in that applicable month only if the consumer obtains a new Medicaid/CHIP renewal.</li>\n\n<li>SBMs have different operational processes and eligibility systems for handling QHP, Medicaid and CHIP eligibility determinations. While CMS works with SBMs to align the metric definitions across the Marketplaces there can be limitations and anomalies among the SBM data due to different SBM system capabilities. Additionally, variances in the data may be attributable to differences in how states are conducting unwinding renewals including processing timelines and whether states are staging applications for population cohorts (e.g., over age 65).</li></ol>\t\nPercentages shown are of consumers on applications whose Medicaid/CHIP coverage was denied or terminated following renewal during the reporting period month.<br />\nPercentages shown are of consumers on account transfers whose Medicaid/CHIP coverage was denied or terminated following renewal during the reporting period month. The percentages for SBMs with integrated eligibility systems and the SBM Total - Integrated and SBM Total data record groups are marked as not available (NA) because SBMs with integrated eligibility systems do not receive account transfers. Additionally,  some SBMs with account transfer processes adjusted, with guidance from CMS, the count of \"Consumers on Account Transfers Associated with a Medicaid/CHIP Coverage Denial or Termination Following Renewal\" to include all consumers on applications who are associated with a Medicaid/CHIP coverage denial or termination following renewal for purposes of calculating the Percent - Account Transfer data record group. For example, Pennsylvania conducts automatic QHP eligibility determinations for Marketplace plans for some account transfers and as of the December 2023 report, revised its data to report those consumers in the account transfer and application metrics. As of the April 2024 report, New Jersey revised its data to report consumers on account transfers and direct applications in the account transfer and application metrics to reflect overall SBM activity in the Percent - Account Transfer data record group.\n<br />APTC: Advance Premium Tax Credit; CHIP: Children's Health Insurance Program; QHP: Qualified Health Plan; BHP: Basic Health Program",
      "accessLevel": "public",
      "issued": "2023-07-28T19:25:40Z",
      "modified": "2024-12-27T18:51:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Unwinding"
      ],
      "keyword": [
        "Marketplace",
        "Coverage Transitions"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/sbm-marketplace-december-2024-release.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/ae3ebcfc-d5d1-4773-8b42-026aa006ac3c",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/sbm-december-2024-release.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 1996",
      "identifier": "56adbcf4-f86b-5ab3-98fe-e713bbf99f12",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T14:22:39Z",
      "modified": "2026-04-03T14:31:39Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-1996.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "HHVBP Helpdesk",
        "hasEmail": "mailto:HHVBPquestions@cms.hhs.gov"
      },
      "description": "A list of active home health care agencies with data on the HHVBP performance metrics.",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/7ee0be390db93af4c83395682aae5ec5_1766534740/HHVBP_Provider_PerformanceYear_2024.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/home_health/HHS_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "56d7-4994",
      "issued": "2025-12-22",
      "nextUpdateDate": "2027-01-13",
      "keyword": [
        "Home Health",
        "Quality",
        "Measures",
        "Total Performance Score",
        "Adjusted Payment Percentage",
        "Payment Adjustment",
        "Improvement Points",
        "Achievement Points",
        "Care Points",
        "Points",
        "Cohort",
        "Provider-level",
        "Performance",
        "Provider Data",
        "Address"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Expanded Home Health Value-Based Purchasing (HHVBP) Model - Agency Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/56d7-4994"
      },
      "modified": "2025-12-23",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "released": "2026-01-14",
      "theme": [
        "Home health services"
      ],
      "title": "Expanded Home Health Value-Based Purchasing (HHVBP) Model - Agency Data",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard STATE vCORESET.1.1-test (coreset-local)",
      "modified": "2024-05-07T13:21:54Z",
      "distribution": [
        {
          "title": "Scorecard STATE vCORESET.1.1-test (coreset-local)",
          "description": "Scorecard STATE vCORESET.1.1-test (coreset-local)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/CORESET.1.1-test/20240430/STATE.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "56d78962-1395-5e57-a336-b485a630f390",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Benefits and Cost Sharing PUF - PY2026 ",
      "identifier": "57b37731-ceda-48d0-a467-0c8f044e8f18",
      "description": "The Benefits and Cost Sharing PUF (BenCS-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The BenCS-PUF contains plan variant-level data on essential health benefits, coverage limits, and cost sharing for each QHP and SADP. ",
      "accessLevel": "public",
      "issued": "2026-08-04T04:00:00Z",
      "modified": "2026-08-10T14:00:00Z",
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        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Benefits and Cost Sharing",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2026"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2026/Benefits_Cost_Sharing_PUF.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2000",
      "identifier": "57c03da7-5c35-54d5-a1d5-09600eea07c2",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T14:20:19Z",
      "modified": "2026-04-03T14:51:38Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2000.csv",
          "describedBy": {
            "@type": "Distribution",
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            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
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          "license": "https://www.usa.gov/government-works"
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      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "57e0-2991",
      "title": "Nurse Practitioner Office Visit Costs",
      "description": "Returns nurse practitioner office visit costs per zip code for new and established patients.",
      "keyword": [
        "Nurse Practitioner"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/3e3bf0d958e5afffeb999e718aa2b601_1722902748/Nurse_Practitioner.csv",
          "mediaType": "text/csv",
          "title": "Nurse_Practitioner.csv"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Nurse Practitioner Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/57e0-2991"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
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    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2015 NM Individual Dental",
      "identifier": "57n9-x7ym",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-04-14T20:18:17Z",
      "modified": "2015-08-20T01:09:06Z",
      "publisher": {
        "@type": "Organization",
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      },
      "contactPoint": {
        "fn": "jrsmith",
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      },
      "keyword": [
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      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_NM-Dent-Indi-Land-08-03-2015.pdf"
        }
      ],
      "bureauCode": [
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      ],
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
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      "title": "Global Tobacco Surveillance System (GTSS) - Global Youth Tobacco Survey (GYTS)",
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      "contactPoint": [
        {
          "@type": "Kind",
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      "publisher": {
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        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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      "issued": "2015-03-16",
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      "keyword": [
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          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
      "rights": [
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          "accessURL": "https://data.cdc.gov/d/57qw-ifet",
          "downloadURL": "https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-You/57qw-ifet/data_preview",
          "format": "CSV",
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          ],
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              ],
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            }
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      "inventoried": "2026-09-27"
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    {
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      "bureauCode": [
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      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
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      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
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      ],
      "keyword": [
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      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSEt measure_value v2.10.6 (coreset-etl-test)",
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          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.6/20241023/measure_value.csv",
          "mediaType": "text/csv",
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        }
      ],
      "identifier": "582424b1-9548-5ebe-9a0d-9e50031fbfaa",
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      "bureauCode": [
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      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
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      "description": "The Medicare Improvements for Patients and Providers Act of 2008 was enacted on July 15, 2008. As a result, the mid-year 2008 Medicare Physician Fee Schedule (MPFS) rate of -10.6 percent was replaced with a 0.5 percent update, retroactive to July 1, 2008. In the year dropdown box above, select \"2008A\" for fees effective January 1, 2008 through June 30, 2008 and select \"2008B\" for fees effective July 1, 2008 through December 31, 2008.",
      "distribution": [
        {
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      "identifier": "58304967-4336-4eba-bf8a-9172d1a2c93a",
      "keyword": [
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      "temporal": [
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        }
      ],
      "theme": [
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      "title": "Localities for 2008B",
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    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-02-27-to-2023-03-05",
      "identifier": "586ae752-6d4b-4129-a3f6-569fcab9e104",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
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      "keyword": [
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      "distribution": [
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          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-02-27-to-2023-03-05",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-02272023-to-03052023.csv",
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      "accessRights": "public",
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    },
    {
      "@type": "Dataset",
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      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
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      ],
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    {
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      "keyword": [
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      "references": [
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        "https://www.mathematica.org/"
      ],
      "distribution": [
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          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/map.csv",
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      ],
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      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
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      ],
      "keyword": [
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        "Utility"
      ],
      "references": [
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      ],
      "title": "Scorecard measure_value v3.9.22 (Development)",
      "identifier": "59144314-e1b2-5e50-9a00-a17b0eec7d0b",
      "modified": "2025-12-08T17:30:20Z",
      "distribution": [
        {
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      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_brief",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2026-02-02T20:37:24Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "brief csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20260120_e2e_ETL_DEV/brief.csv",
          "description": "{\"dataset\": \"brief\", \"stage\": \"devAuto\", \"update_id\": \"20260120_e2e_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "5937b2be-32a4-5dc9-b9dc-b1f97e38e935",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Network PUF - PY2026",
      "identifier": "596f82b3-d48c-436f-9c84-6b195b05441c",
      "description": "The Network PUF (Ntwrk-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The Ntwrk-PUF contains issuer-level data identifying provider network URLs.",
      "accessLevel": "public",
      "issued": "2026-08-04T04:00:00Z",
      "modified": "2026-08-10T14:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Network",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2026"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2026/network_PUF.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Patient survey (ICH CAHPS) - Facility",
        "accessURL": "https://data.cms.gov/provider-data/dataset/59mq-zhts"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-03-14",
      "@type": "Dataset",
      "modified": "2026-06-16",
      "released": "2026-07-15",
      "nextUpdateDate": "2026-10-28",
      "keyword": [
        "Patient Survey",
        "Patient Experience of Care"
      ],
      "contactPoint": {
        "fn": "Dialysis Facility Helpdesk",
        "hasEmail": "mailto:DialysisData@umich.edu"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "59mq-zhts",
      "description": "In-Center Hemodialysis Facilities Patient evaluations from the In-Center Hemodialysis Consumer Assessment of Healthcare Providers and Systems (ICH-CAHPS) Survey. The ICH-CAHPS Survey is a national, standardized survey of in-center hemodialysis patients about their experiences with the facility, facility doctors and staff, and care received. ",
      "title": "Patient survey (ICH CAHPS) - Facility",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/af4027a6449e63899d56ecec0c718998_1781625943/ICH_CAHPS_FACILITY.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Medicaid and CHIP Eligibility Processing Data",
      "identifier": "5abea2e0-3f8e-4b49-a50d-d63d5fd9103c",
      "description": "All states (including the District of Columbia) provide data to the Centers for Medicare &amp; Medicaid Services (CMS) on a range of Medicaid and Children’s Health Insurance Program (CHIP) eligibility and enrollment metrics. These data reflect state-reported information on Medicaid and CHIP eligibility renewals initiated and scheduled for completion during the reporting period. In addition to reporting the outcomes of renewals at the end of each reporting period, states also provide an update on renewals that were reported pending as of the end of a reporting period. For more information on these data, see Sections II and III of the <a href=\"https://www.medicaid.gov/resources-for-states/downloads/eligibility-processing-data-specs-august-2024.pdf\">Eligibility Processing Data Report specifications</a>. <br />\n<b>Notes:</b><br /> Georgia reported data for individuals who continue to be eligible following a change in circumstances and were granted a new 12-month eligibility period during the reporting period, along with data on individuals due for renewal in the month.<br />\nNorth Carolina reports renewal outcomes for only initiated renewals scheduled for completion in the report month, and as such, the data do not reflect renewals that should have been completed in the reporting period that the state was unable to initiate by the end of the report month.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1M",
      "issued": "2024-11-27T19:17:56Z",
      "modified": "2026-09-25T18:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Medicaid",
        "Child Enrollment",
        "Eligibility Determinations",
        "Children's Health Insurance Program (CHIP)",
        "Program Enrollment",
        "Renewals"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/renewal-dataset-september-2026-release.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/0c98be2c-4c51-42b3-a0d6-2667f54c9ef6",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2005",
      "identifier": "5b10a5b4-dabe-5419-99d8-043df47b8e4b",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T13:23:15Z",
      "modified": "2026-04-03T15:20:45Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2005.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Medicaid Financial Management Data",
      "identifier": "5b19d1d4-ae43-5fcd-ba14-3cecd99f473f",
      "description": "This dataset reports summary state-by-state total expenditures by program for the Medicaid Program, Medicaid Administration and CHIP programs. These state expenditures are tracked through the automated Medicaid Budget and Expenditure System/State Children's Health Insurance Program Budget and Expenditure System (MBES/CBES).\n\nFor more information, visit https://medicaid.gov/medicaid/finance/state-expenditure-reporting/expenditure-reports/index.html.",
      "accessLevel": "public",
      "issued": "2018-04-10T15:53:00Z",
      "modified": "2024-12-11T19:51:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "CMS-64 Expenditures",
        "Financial Management"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-financial-management-data.7kua-37xz.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/7c6b1168-3353-4027-8b9c-03d622d7e999",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Transparency in Coverage PUF - PY2024",
      "identifier": "5c232812-fc30-4dd7-8af7-015ce0073eb8",
      "description": "The Transparency in Coverage PUF (TC-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The PUF contains data on issuer and plan-level claims, appeals, and active URL data. The PY2024 PUF contains data from PY2022 for issuers participating in the Exchanges in PY2022.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2025-04-14T04:00:00Z",
      "modified": "2025-10-28T22:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2024",
        "Transparency in Coverage",
        "Exchange PUF",
        "Marketplace PUF"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "xlsx",
          "downloadURL": "https://data.healthcare.gov/datafile/py2024/transparency_in_coverage_PUF.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Program Information for Medicaid and CHIP Beneficiaries by Year",
      "identifier": "5c267647-50e9-4a81-b2f2-8f23cec6631a",
      "description": "This data set presents annual enrollment counts of Medicaid and CHIP beneficiaries by program type (Medicaid or CHIP). There are three metrics presented: (1) the number of beneficiaries ever enrolled in each program type over the year (duplicated count); (2) the number of beneficiaries enrolled in each program type as of an individual’s last month of enrollment (unduplicated count); and (3) average monthly enrollment in each program type. \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues, making the data unusable for calculating these measures. To assess data quality, analysts used measures featured in the DQ Atlas. Data for a state and year are considered unusable or of high concern based on DQ Atlas thresholds for the topics Medicaid-only enrollment and M-CHIP and S-CHIP Enrollment. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods.\n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T16:47:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Program Enrollment",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Program Information for Medicaid and CHIP Beneficiaries by Year",
          "description": "This data set presents annual enrollment counts of Medicaid and CHIP beneficiaries by program type (Medicaid or CHIP). There are three metrics presented: (1) the number of beneficiaries ever enrolled in each program type over the year (duplicated count); (2) the number of beneficiaries enrolled in each program type as of an individual’s last month of enrollment (unduplicated count); and (3) average monthly enrollment in each program type. \r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues, making the data unusable for calculating these measures. To assess data quality, analysts used measures featured in the DQ Atlas. Data for a state and year are considered unusable or of high concern based on DQ Atlas thresholds for the topics Medicaid-only enrollment and M-CHIP and S-CHIP Enrollment. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods.\r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/ProgramType-anul.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/e1336bd6-3e82-46ee-834a-4c251a41050c",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "5d65-6dcf",
      "title": "Medical Oncology Office Visit Costs",
      "description": "Returns medical oncology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Medical Oncology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/afdb4b3e1e1a1fc23a4ee3a5ec22f1df_1722902742/Medical_Oncology.csv",
          "mediaType": "text/csv",
          "title": "Medical_Oncology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Medical Oncology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/5d65-6dcf"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "EHR Developers Reported by Health Care Providers Participating in Federal Programs",
      "description": "The Medicare & Medicaid Electronic Health Record (EHR) Incentive Programs provide incentives to eligible ambulatory and inpatient providers to adopt electronic health records. This dataset provides the counts of health care providers that have reported a developer's product through participation in the Medicare EHR Incentive Program. The data are provided beginning in 2011. This dataset enables the tracking of trends in the adoption of healthIT by developer and by both office-based health care providers and non-federal acute-care hospitals. Filter the data by Program Year to get the most recent counts by health care provider type. The most recent data is available through the 2016 Program Year.",
      "identifier": "5d6zvokd-upg9-fobb-lzgn-ep6jo1du8lkd",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "EHR Developers Reported by Health Care Providers Participating in Federal Programs landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/ehr-developers-reported-health-care-providers-participating-federal-programs"
      },
      "modified": "2017-07-07",
      "accrualPeriodicity": "annually",
      "keyword": [
        "health IT",
        "certified electronic health record technology",
        "CEHRT",
        "adoption",
        "EHR vendors",
        "EHR developers",
        "CMS EHR Incentrive Program",
        "federal programs"
      ],
      "relation": [
        "https://www.healthit.gov/data/quickstats/health-care-professional-health-it-developers",
        "https://www.healthit.gov/data/quickstats/hospital-health-it-developers"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "5d9c-1e86",
      "title": "Thoracic Surgery Office Visit Costs",
      "description": "Returns thoracic surgery office visit costs per zip code for new and established patients.",
      "keyword": [
        "Thoracic Surgery"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/a36245d7815b93270f573bfa619c9e82_1722902771/Thoracic_Surgery.csv",
          "mediaType": "text/csv",
          "title": "Thoracic_Surgery.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Thoracic Surgery Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/5d9c-1e86"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_briefType",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2026-02-02T20:37:24Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "briefType csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20260120_e2e_ETL_DEV/briefType.csv",
          "description": "{\"dataset\": \"briefType\", \"stage\": \"devAuto\", \"update_id\": \"20260120_e2e_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "5e020af5-c00c-5055-8aaa-3c2f11ba3cfe",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "featAuto_files_allDownloads",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
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          {
            "@type": "Organization",
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          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2023-06-07T09:20:04Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_featAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "files_allDownloads csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20230426v2_ETL_DEV/files_allDownloads.csv",
          "description": "{\"dataset\": \"files_allDownloads\", \"stage\": \"featAuto\", \"update_id\": \"20230426v2_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "5e2eb7ef-c735-5aa0-9e78-da25fa18ff2f",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "5e3a-bee4",
      "title": "Physical Medicine and Rehabilitation Office Visit Costs",
      "description": "Returns physical medicine and rehabilitation office visit costs per zip code for new and established patients.",
      "keyword": [
        "Physical Medicine and Rehabilitation"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/28a80083f9df0ddf320a4c2bb4dfa70a_1722902758/Physical_Medicine_and_Rehabilitation.csv",
          "mediaType": "text/csv",
          "title": "Physical_Medicine_and_Rehabilitation.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Physical Medicine and Rehabilitation Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/5e3a-bee4"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
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        "@type": "Organization",
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        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2023 Dental SHOP",
      "identifier": "5eb5f179-5e8c-433e-85a3-2a38d2c75ba2",
      "description": "The Dental SHOP Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2023-08-09T04:00:00Z",
      "modified": "2023-08-16T04:00:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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            "@type": "Organization",
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        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "QHP Landscape",
        "SHOP Market Dental",
        "SHOP",
        "SADP",
        "PY2023"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "zip",
          "downloadURL": "https://data.healthcare.gov/datafile/py2023/shop_market_dental.zip"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "5f44-cb84",
      "title": "Ophthalmology Office Visit Costs",
      "description": "Returns ophthalmology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Ophthalmology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/1f76251f0fe271e4a48b24659182c2e0_1722902750/Ophthalmology.csv",
          "mediaType": "text/csv",
          "title": "Ophthalmology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Ophthalmology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/5f44-cb84"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "contactPoint": {
        "fn": "PPL Dataset",
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      },
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        "name": "Office of Communications (OC)",
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        ]
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      ],
      "accessRights": "public",
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    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2022 Individual Dental",
      "identifier": "5fce65a2-11d2-493d-9c68-f576d09d0ce1",
      "description": "The Dental Individual Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to consumers in the individual market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2022-08-10T12:00:00Z",
      "modified": "2022-08-17T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Individual Market Dental",
        "SADP",
        "QHP Landscape Instructions",
        "Individual",
        "PY2022"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2022/den-ind-lndscp-in.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
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    },
    {
      "@type": "Dataset",
      "title": "prodAuto_files_topicSnapshot",
      "identifier": "5fe32037-4a6f-5c53-80e8-26414747c39c",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "modified": "2022-10-06T21:06:57Z",
      "publisher": {
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        ]
      },
      "contactPoint": {
        "fn": "DataConnect Support Team",
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov"
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      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "files_topicSnapshot csv file",
          "description": "{\"dataset\": \"files_topicSnapshot\", \"stage\": \"prodAuto\", \"update_id\": \"20220921_v2_ETL_DEV\"}",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20220921_v2_ETL_DEV/files_topicSnapshot.csv"
        }
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2017 Dental SHOP",
      "identifier": "5gqy-8jnf",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2016-11-07T15:36:27Z",
      "modified": "2017-08-23T19:56:24Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Eze Onuoha",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/Dental_SHOP_Landscape_Instructions_and_Notes_08-11-2017.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Table 1: FY2024 Net Change in Base Operating DRG Payment Amount",
        "accessURL": "https://data.cms.gov/provider-data/dataset/5gv4-jwyv"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2025-12-09",
      "released": "2026-08-13",
      "keyword": [
        "Value Based Purchasing",
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
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        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "5gv4-jwyv",
      "description": "Net Change in Base Operating DRG Payment Amount shows number of hospitals for specified ranges of value-based incentive payment amounts after subtracting the amount by which their Medicare payments per discharge were reduced.",
      "title": "Table 1: FY2024 Net Change in Base Operating DRG Payment Amount",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/1b4d8a2b70cd651403cf1c4f8e545088_1770163575/FY2024_Net_Change_in_Base_Op_DRG_Payment_Amt.csv",
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            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Medicare Spending Per Beneficiary - Hospital Additional Decimal Places",
        "accessURL": "https://data.cms.gov/provider-data/dataset/5hk7-b79m"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-01-26",
      "released": "2026-08-13",
      "keyword": [
        "Medicare Spending per Beneficiary"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "5hk7-b79m",
      "description": "The Medicare Spending Per Beneficiary (MSPB) Measure shows whether Medicare spends more, less, or about the same for an episode of care (episode) at a specific hospital compared to all hospitals nationally. An MSPB episode includes Medicare Part A and Part B payments for services provided by hospitals and other healthcare providers the 3 days prior to, during, and 30 days following a patient's inpatient stay. This measure evaluates hospitals' costs compared to the costs of the national median (or midpoint) hospital. This measure takes into account important factors like patient age and health status (risk adjustment) and geographic payment differences (payment-standardization). The data displayed here are identical to the data displayed in the Medicare Spending per Beneficiary file, except that this file displays hospitals measure values out to six decimal places instead of two decimal places. The Medicare Spending per Beneficiary file additionally reflects quarterly changes to the provider population such as the opening or closure of hospitals.",
      "title": "Medicare Spending Per Beneficiary - Hospital Additional Decimal Places",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/500f70bcb6c65433c00a96af0e0c0430_1770163607/HOSPITAL_QUARTERLY_MSPB_6_DECIMALS.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "5hns-mwci",
      "title": "Global Tobacco Surveillance System (GTSS) - Global School Personnel Survey (GSPS)",
      "description": "2001-2011. The GSPS was initiated in 2000 to collect information on tobacco use, knowledge and attitudes of school personnel toward tobacco, existence and effectiveness of tobacco control policies in schools, and training and materials available for implementing tobacco prevention and control interventions.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-01-31",
      "issued": "2015-03-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Global Survey Data"
        }
      ],
      "keyword": [
        "tobacco",
        "school personnel",
        "osh",
        "gtss",
        "gsps"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Global"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://nccd.cdc.gov/GTSSData/default/default.aspx",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://nccd.cdc.gov/GTSSData/default/default.aspx",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Global Tobacco Surveillance System (GTSS) - Global School Personnel Survey (GSPS)",
          "description": "2001-2011. The GSPS was initiated in 2000 to collect information on tobacco use, knowledge and attitudes of school personnel toward tobacco, existence and effectiveness of tobacco control policies in schools, and training and materials available for implementing tobacco prevention and control interventions.",
          "accessURL": "https://data.cdc.gov/d/5hns-mwci",
          "downloadURL": "https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Sch/5hns-mwci/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-01-31",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/5hns-mwci",
            "title": "Global Tobacco Surveillance System (GTSS) - Global School Personnel Survey (GSPS)"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 Dental SHOP",
      "identifier": "5i52-vasa",
      "description": "For instructions on how to read and use this data, visit \nhttps://data.healthcare.gov/download/6vhe-5q6n/application%2Fpdf",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2015-10-29T21:10:58Z",
      "modified": "2016-11-23T16:20:52Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2016-qhp-landscape-shop-market-dental.5i52-vasa.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/1638ae1f-5956-4f59-a497-c23ab98e2ac4",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "ONC Health Information Technology for Economic and Clinical Health (HITECH) Grantee Crosswalk",
      "description": "The Health Information Technology for Economic and Clinical Health (HITECH) Act was passed as part of the American Recovery and Reinvestment Act (ARRA) to invest in the U.S. health IT infrastructure. The Office of the National Coordinator for Health IT (ONC) received over $2 billion of these HITECH funds, which was granted to health and community organizations across the U.S. This crosswalk provides geographic data for the service areas of two of these HITECH programs: the Health IT Regional Extension Centers (REC) Program and the Beacon Communities Program. This data can be linked to program financial and performance data to map and visualize program data. You can access the data in multiple formats below.",
      "identifier": "5k0pnwr0-zzo9-pvru-dy7y-29vcs3fudqax",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "ONC Health Information Technology for Economic and Clinical Health (HITECH) Grantee Crosswalk landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/onc-health-information-technology-economic-and-clinical-health-hitech-grantee"
      },
      "modified": "2014-12-31",
      "keyword": [
        "health IT",
        "HITECH",
        "American Reconstruction and Recovery Act",
        "ARRA",
        "REC",
        "Regional Extension Centers",
        "Beacon Communities Program",
        "EHR"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Issuer_Partner_Lookup",
      "identifier": "5k5i-wzex",
      "description": "The dataset holding the information for the issuer-partner-lookup tool. \n\nhttps://data.healthcare.gov/issuer-partner-lookup",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2020-06-05T14:53:52Z",
      "modified": "2026-01-06T12:16:16Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Dominic Cicilio",
        "hasEmail": "mailto:support@socrata.com"
      },
      "keyword": [
        "utility",
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/251230_Issuer_Partner_Lookup.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e1e0c7bb-196d-4589-a0b1-f04cbf775a80",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "5mtz-k78d",
      "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2016 release",
      "description": "2014, 2013. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2018-10-15",
      "issued": "2017-11-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "prevalence",
        "estimates",
        "500cities",
        "census tracts"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "500 Cities Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2016 release",
          "description": "2014, 2013. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level.",
          "accessURL": "https://data.cdc.gov/d/5mtz-k78d",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/500-Cities-Census-Tract-level-Data-GIS-Friendly-Fo/5mtz-k78d/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2018-10-15",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/5mtz-k78d",
            "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2016 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "500 Cities: Census Tract-level Data (GIS Friendly Format) Series 2016-2019",
          "description": "500 cities project census tract-level data from 2016-209 in GIS-friendly format.  Dataset can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2015 NV Dental SHOP",
      "identifier": "5mza-bezz",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-04-14T20:28:40Z",
      "modified": "2015-08-20T01:12:19Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "jrsmith",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_NV-Dent-SHOP-Land-08-03-2015.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Federal Health IT Strategic Plan: 2015-2020 Goals",
      "description": "The Federal Health IT Strategic Plan 2015-2020 explains how the federal government intends to apply the effective use of information and technology to help the nation achieve high-quality care, lower costs, a healthy population, and engaged individuals. The work described in this Plan aims to modernize the U.S. health IT infrastructure so that individuals, their providers, and communities can use it to help achieve health and wellness goals. The Plan goals, objectives, and strategies outline how this work will be organized and tracked over the term of this Plan. Access the full list of goals, objectives, and strategies below.",
      "identifier": "5oubhewj-dyyu-xdf1-4uip-petoebzik6ii",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Federal Health IT Strategic Plan: 2015-2020 Goals landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/federal-health-it-strategic-plan-2015-2020-goals"
      },
      "modified": "2015-09-15",
      "keyword": [
        "health IT",
        "quality care",
        "patient engagement",
        "strategy",
        "EHR",
        "health information",
        "health care",
        "health information exchange",
        "adoption",
        "certified health information technology",
        "electronic health records"
      ],
      "relation": [
        "https://www.healthit.gov/sites/default/files/9-5-federalhealthitstratplanfinal_0.pdf"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 OR Individual Medical",
      "identifier": "5p3f-bhu4",
      "description": "For instructions on how to read and use this data, visit: https://data.healthcare.gov/download/drds-fxfy/application/pdf",
      "accessLevel": "public",
      "issued": "2014-11-13T16:36:23Z",
      "modified": "2015-08-20T00:40:16Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qhp-landscape-or-individual-market-medical.5p3f-bhu4.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/c727638c-f7b0-4f11-8a8b-2e0c4ab558bb",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2019 Dental SHOP",
      "identifier": "5s8w-8rjc",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2018-10-24T19:55:46Z",
      "modified": "2019-08-09T14:18:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/Den-SHOP-Landscape.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Skilled Nursing Facility Quality Reporting Program - National Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/5sqm-2qku"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-10-01",
      "@type": "Dataset",
      "modified": "2026-07-01",
      "released": "2026-07-29",
      "nextUpdateDate": "2026-10-28",
      "keyword": [
        "Skilled Nursing Facility Quality Reporting Program",
        "National"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:SNFQRPPRQuestions@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "5sqm-2qku",
      "description": "Skilled Nursing Facilities (SNFs) provide Medicare Part A SNF services to beneficiaries and must report data on certain measures of quality to Medicare through the Skilled Nursing Facility Quality Reporting Program (SNF QRP). This file contains national averages on quality measures implemented under the IMPACT Act.",
      "title": "Skilled Nursing Facility Quality Reporting Program - National Data",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/535db1952768202fd80d81285ae16a65_1784297729/Skilled_Nursing_Facility_Quality_Reporting_Program_National_Data_Jul2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/nursing_home/NH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Nursing homes including rehab services"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "5svk-8bnq",
      "title": "National Health and Nutrition Examination Survey (NHANES) - National Cardiovascular Disease Surveillance System",
      "description": "1999 – 2000 to 2017 – 2018. The National Health and Nutrition Examination Survey (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the United States. The survey is unique in that it combines interviews and physical examinations. Indicators from this data source have been computed by personnel in CDC's Division for Heart Disease and Stroke Prevention (DHDSP). This was one of the datasets provided by the National Cardiovascular Disease Surveillance System and presented on DHDSPâ€™s Data, Trends, and Maps online tool. This tool was retired in April of 2024 and this dataset will not be updated. Contact dhdsprequests@cdc.gov if you need assistance with data previously included in this dataset. The data can be plotted as trends and stratified by age group, sex, and race/ethnicity.\n\nUpdated 12/9/2025: Per a court order, HHS is required to restore this website to its version as of 12:00 AM on January 29, 2025. Information on this page may be modified and/or removed in the future subject to the terms of the courtâ€™s order and implemented consistent with applicable law. Any information on this page promoting gender ideology is extremely inaccurate and disconnected from truth. The Trump Administration rejects gender ideology due to the harms and divisiveness it causes. This page does not reflect reality and therefore the Administration and this Department reject it.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Heart Disease and Stroke Surveillance",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division for Heart Disease and Stroke Prevention (DHDSP)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-08-11",
      "issued": "2016-06-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Heart Disease & Stroke Prevention"
        }
      ],
      "keyword": [
        "hypertension",
        "cholesterol",
        "cardiovascular health",
        "cardiovascular disease",
        "blood pressure",
        "sodium",
        "cvd risk factors"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nchs/nhanes.htm",
        "title": "Centers for Disease Control and Prevention National Center for Health Statistics"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nchs/nhanes.htm",
        "title": "DHDSP Requests"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Health and Nutrition Examination Survey (NHANES) - National Cardiovascular Disease Surveillance System",
          "description": "1999 – 2000 to 2017 – 2018. The National Health and Nutrition Examination Survey (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the United States. The survey is unique in that it combines interviews and physical examinations. Indicators from this data source have been computed by personnel in CDC's Division for Heart Disease and Stroke Prevention (DHDSP). This was one of the datasets provided by the National Cardiovascular Disease Surveillance System and presented on DHDSP's Data, Trends, and Maps online tool. This tool was retired in April of 2024 and this dataset will not be updated. Contact dhdsprequests@cdc.gov if you need assistance with data previously included in this dataset. The data can be plotted as trends and stratified by age group, sex, and race/ethnicity.\n\nUpdated 12/9/2025: Per a court order, HHS is required to restore this website to its version as of 12:00 AM on January 29, 2025. Information on this page may be modified and/or removed in the future subject to the terms of the court's order and implemented consistent with applicable law. Any information on this page promoting gender ideology is extremely inaccurate and disconnected from truth. The Trump Administration rejects gender ideology due to the harms and divisiveness it causes. This page does not reflect reality and therefore the Administration and this Department reject it.",
          "accessURL": "https://data.cdc.gov/d/5svk-8bnq",
          "downloadURL": "https://data.cdc.gov/Heart-Disease-Stroke-Prevention/National-Health-and-Nutrition-Examination-Survey-N/5svk-8bnq/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-08-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/5svk-8bnq",
            "title": "National Health and Nutrition Examination Survey (NHANES) - National Cardiovascular Disease Surveillance System"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 OR Individual Medical",
      "identifier": "5te9-xxtp",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2014-11-13T17:25:32Z",
      "modified": "2015-08-20T00:59:48Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_OR-Med-Indi-Land-08-13-2015.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Network PUF - PY2015",
      "identifier": "5w58-urjn",
      "description": "The Network PUF (Ntwrk-PUF) is one of the seven files that make up the Marketplace PUF. The Ntwrk-PUF contains issuer-level data identifying provider network URLs. These data either originate from the Network ID template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2014-11-26T20:45:18Z",
      "modified": "2017-12-11T22:47:24Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/network-puf.5w58-urjn.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/c3e09812-c488-478f-a509-8ac61ef02a20",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "LTCH QRP Public Reporting Help Desk",
        "hasEmail": "mailto:LTCHPRquestions@cms.hhs.gov"
      },
      "description": "National data on the quality of patient care measures shown on Long-Term Care Hospital Compare.",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/9f9a9d68bf3a5da8cc6b39243f48b2d2_1788977191/Long-Term_Care_Hospital-National_Data_Sep2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/long_term_care_hospital/LTCH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "5zdx-ny2x",
      "issued": "2026-08-12",
      "keyword": [
        "National",
        "Average",
        "Quality",
        "Measures",
        "Quality Reporting"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Long-Term Care Hospital - National Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/5zdx-ny2x"
      },
      "modified": "2026-08-12",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "released": "2026-09-23",
      "theme": [
        "Long-term care hospitals"
      ],
      "title": "Long-Term Care Hospital - National Data",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Express Lane Eligibility for Medicaid and CHIP Coverage",
      "identifier": "601a8897-1453-5282-81cd-be49d7ec7503",
      "description": "States may rely on eligibility information from \"Express Lane\" agency programs to streamline and simplify enrollment and renewal in Medicaid and CHIP. Express Lane agencies may include Supplemental Nutrition Assistance Program (SNAP), School Lunch programs, Temporary Assistance for Needy Families, Head Start, and the Women, infant, and children's program (WIC) , among others. States can also use state income tax data to determine Medicaid and CHIP eligibility for children.",
      "accessLevel": "public",
      "issued": "2016-07-13T19:57:47Z",
      "modified": "2019-01-18T19:51:17Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "theme": [
        "Eligibility"
      ],
      "keyword": [
        "Enrollment Strategies"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/express-lane-eligibility-for-medicaid-and-chip-coverage.8vcd-dnq9.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 1994",
      "identifier": "602e7c79-774d-529a-a377-75faa749e878",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T14:21:05Z",
      "modified": "2026-04-03T14:13:53Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-1994.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Machine Readable PUF - PY2022",
      "identifier": "6044cb77-5350-4ffc-908e-5c9283da5056",
      "description": "The Machine Readable PUF (MR-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The MR-PUF contains issuer-level URL locations for machine-readable network provider and formulary information.   ",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2021-12-16T13:00:00Z",
      "modified": "2021-12-22T18:23:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2022",
        "Machine Readable",
        "Exchange PUF",
        "Marketplace PUF"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "xlsx",
          "downloadURL": "https://data.healthcare.gov/datafile/py2022/machine_readable_puf.xlsx"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Medicaid and CHIP Applications, Eligibility Determinations, and Enrollment Data",
      "identifier": "6165f45b-ca93-5bb5-9d06-db29c692a360",
      "description": "All states (including the District of Columbia) are required to provide data to The Centers for Medicare &amp; Medicaid Services (CMS) on a range of Medicaid and Children’s Health Insurance Program (CHIP) indicators related to key application, eligibility, enrollment and call center processes. These data reflect enrollment activity for all populations receiving comprehensive Medicaid and CHIP benefits in all states, as well as state program performance.<br />\nStates submit this data via the Performance Indicator dataset. Further information about this dataset is available at:  <a href=\"https://www.medicaid.gov/medicaid/national-medicaid-chip-program-information/medicaid-chip-enrollment-data/performance-indicator-technical-assistance/index.html\">https://www.medicaid.gov/medicaid/national-medicaid-chip-program-information/medicaid-chip-enrollment-data/performance-indicator-technical-assistance/index.html</a>.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1M",
      "issued": "2017-09-08T21:42:09Z",
      "modified": "2026-09-25T18:00:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Child Enrollment",
        "Eligibility Determinations",
        "Applications",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "Call Center",
        "Modified Adjusted Gross Income (MAGI) Application Processing"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/pi-dataset-september-2026-release.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/7d80cfd8-3266-4c55-8436-948b7c55b9dd",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2024",
      "identifier": "61729e5a-7aa8-448c-8903-ba3e0cd0ea3c",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2024-10-21T13:07:24Z",
      "modified": "2026-07-13T15:37:28Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Pharmacy",
        "Medicaid Reimbursements",
        "Drug Utilization"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/sdud2024_updatedJuly2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "implAuto_files_allDownloadsSSBtn",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-05T18:10:13Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_implAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "files_allDownloadsSSBtn csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/files_allDownloadsSSBtn.csv",
          "description": "{\"dataset\": \"files_allDownloadsSSBtn\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "6175e915-68d0-50b0-820a-0d016087eeb5",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "all years"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "Payments grouped by reporting entities and nature of payments for all years",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_AMGPO_BY_NTR_OF_PYMT_PGYRall_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "61efcbef-b01d-47c5-a996-b6f09613f856",
      "title": "Payments grouped by reporting entities and nature of payments for all years",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-01",
          "endDate": "2023-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "featAuto_files_allDownloadsSSBtn",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-09-25T14:18:32Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_featAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "files_allDownloadsSSBtn csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20250924_ETL_DEV/files_allDownloadsSSBtn.csv",
          "description": "{\"dataset\": \"files_allDownloadsSSBtn\", \"stage\": \"featAuto\", \"update_id\": \"20250924_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "622fd82e-d2cb-5204-9a97-ba4df56ffcc6",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-06-12-to-2023-06-18",
      "identifier": "6264a6d4-5082-4b67-9e8b-014646430e22",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-06-26T21:03:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-06-12-to-2023-06-18",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-6122023-to-6182023.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Unplanned Hospital Visits - Hospital",
        "accessURL": "https://data.cms.gov/provider-data/dataset/632h-zaca"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-05",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Unplanned Hospital Visits",
        "Readmissions",
        "Excess Days in Acute Care",
        "Outpatient Surgery",
        "Outpatient",
        "Pneumonia",
        "Acute Myocardial Infarction",
        "Heart Failure",
        "Chronic Obstructive Pulmonary Disease",
        "Coronary Artery Bypass Graft",
        "Colonoscopy",
        "Total Hip and/or Total Knee Arthroplasty"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "632h-zaca",
      "description": "Unplanned Hospital Visits: provider data. This data set includes provider data for the hospital return days (or excess days in acute care [EDAC]) measures, the unplanned readmissions measures, and measures of unplanned hospital visits after outpatient procedures.",
      "title": "Unplanned Hospital Visits - Hospital",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/30edc1d0417a34b58affcc2495a02b0a_1785189969/Unplanned_Hospital_Visits-Hospital.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Localities for 2022",
      "identifier": "63945900-55de-4fd9-b3b0-8f110f50c382",
      "description": "The CY 2022 Medicare Physician Fee Schedule updates various related policies and CPT/HCPCS codes for the new calendar year.  This includes implementing all recent legislation directed by Congress starting January 1, 2022 and the upcoming conversion factor of $34.6062.  The Geographic Practice Cost Index (GPCI) work floor of 1.0 continues to be extended through the end of CY 2023.  Medicare co-insurance for certain colorectal cancer screening tests will begin its phased in waiver. Mental Health services through telehealth will be expanded following the end of the PHE.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P3M",
      "issued": "2021-12-16T06:00:00Z",
      "modified": "2021-12-16T06:00:00Z",
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "keyword": [
        "localities",
        "2022"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2022--02-08-22.csv"
        }
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2019"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2019 payments grouped by covered recipient and reporting entities",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_CR_BY_AMGPO_PGYR2019_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "63c6fc23-1744-4040-babe-1af39a57c598",
      "title": "2019 payments grouped by covered recipient and reporting entities",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-01-01",
          "endDate": "2019-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "featAuto_measure_allStates_download",
      "identifier": "63e60221-3cef-552a-8d1e-39baf4c2bd4b",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "modified": "2022-03-02T17:40:43Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "DataConnect Support Team",
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_featAuto"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "measure_allStates_download csv file",
          "description": "{\"dataset\": \"measure_allStates_download\", \"stage\": \"featAuto\", \"update_id\": \"20220302_ETL_DEV_OT_SPLIT\"}",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20220302_ETL_DEV_OT_SPLIT/measure_allStates_download.csv"
        }
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 04-20-2026 to 04-26-2026",
      "identifier": "63ee60b1-198f-4410-bdc8-4909e54fd8a6",
      "description": "Updated April 20, 2026 The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2026-04-27T18:49:41Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-04-20-2026-to-04-26-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "The Medicare Physician Fee Schedule update factor for 2017 is 0.5% and the conversion factor is 35.8887*.*",
      "distribution": [
        {
          "title": "Localities table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2017.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "6431eaed-7ac8-4fac-bc35-8161d9e91197",
      "keyword": [
        "2017",
        "localities"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-01",
          "endDate": "2017-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2017",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "2007 Physician Fee Schedule Data",
      "distribution": [
        {
          "title": "Localities table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2007.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "64c46a34-c831-47b5-9ebc-847bfc55f674",
      "keyword": [
        "2007",
        "localities"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2007-01-01",
          "endDate": "2007-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2007",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Telehealth Services Provided to the Medicaid and CHIP Population",
      "identifier": "651fa253-4dd4-4867-8725-2b5ae1dd5ce9",
      "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of services provided via telehealth, including live audio video, remote patient monitoring, store and forward, and other telehealth, to Medicaid and CHIP beneficiaries, by state. \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating telehealth services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Claims Volume - OT, Procedure Codes - OT Professional. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T15:04:11Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Telehealth",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas",
        "Services"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Telehealth Services Provided to the Medicaid and CHIP Population",
          "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of services provided via telehealth, including live audio video, remote patient monitoring, store and forward, and other telehealth, to Medicaid and CHIP beneficiaries, by state. \r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating telehealth services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Claims Volume - OT, Procedure Codes - OT Professional. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/Telehealth-Services-Provided-to-the-MedicaidCHIP-Population.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/d5b4867b-e00b-4fe5-a830-48516f352b0d",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Pricing Comparison for Blood Disorder Treatments (Pricing as of 06/1/2025)",
      "identifier": "666bbb60-13ea-4545-b696-d65776db2bab",
      "description": "The Reference Document link for the downable Blood Disorder Treatment Spreadsheet can be accessed below under the Additional Information table under Related Documents.",
      "accessLevel": "public",
      "modified": "2025-06-30T19:06:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Drug Products"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/Clotting-Factor-June-2025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/59dd7ad8-ff7a-4f9d-a1c2-a26bf13bf9b4",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "references": [
        "https://download.medicaid.gov/data/Spreadsheet_Footnotes.pdf"
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2022 Dental SHOP",
      "identifier": "66b55b41-152e-44c2-9727-158401c2e526",
      "description": "The Dental SHOP Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2022-08-10T12:00:00Z",
      "modified": "2022-08-17T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "SHOP Market Dental",
        "SHOP",
        "SADP",
        "QHP Landscape Instructions",
        "PY2022"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2022/den-shop-lndscp-in.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "MMCC MCPAR PUF Data 2024",
      "identifier": "66da70e7-228e-41aa-b041-6f9e433ff237",
      "description": "The Managed Care Program Annual Reports (MCPARs) provide data across key topics for each Medicaid managed care program. States are required to submit reports annually, aligning with state contract cycles (see 42 CFR 438.66(e)(1)).\n<a href=\"https://www.medicaid.gov/resources-for-states/downloads/mcpar-2024.pdf\">MCPAR PUF Read me 2024</a>\n\nTo view the previous performance year, please visit <a href=\"https://data.medicaid.gov/dataset/69374797-d755-4903-bbe2-b84408501feb\">MCPAR PUF Data 2023</a>.",
      "accessLevel": "public",
      "modified": "2026-05-21T19:52:32Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "MMCC MCPAR PUF",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mmcc-mcpar-puf-2024.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/4bd9d85b-f8cf-4d54-a1ce-f89ad4e99040",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "Payment files reflect a change in the conversion factor as a result of the Preservation of Access to Care for Medicare Beneficiaries and Pension Relief Act of 2010, which President Obama signed into law on June 25, 2010. This legislation provides for a 2.2 percent update to the 2010 Medicare Physician Fee Schedule (MPFS), effective for dates of service June 1, 2010, through November 30, 2010. For 2010A: Payment files reflect changes as a result of practice expense (PE) and malpractice (MP) relative value unit (RVU) corrections and provisions of the Patient Protection and Affordable Care Act (the Affordable Care Act), as modified by the Health Care and Education Reconciliation Act of 2010, which President Obama signed into law on March 23, 2010, and March 30, 2010, respectively.",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators210b.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "672b90d2-fb79-4657-87b0-b5f5dbd5ff66",
      "keyword": [
        "2010B",
        "indicators"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-07-01",
          "endDate": "2010-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Indicators for 2010B",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rate PUF – PY2025",
      "identifier": "672d5f6a-b8a7-4ebe-87f6-67db641e192d",
      "description": "The Rate PUF (Rate-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The Rate-PUF contains plan-level data on rates based on an eligible subscriber’s age, tobacco use, and geographic location; and family-tier rates.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2025-08-06T04:00:00Z",
      "modified": "2025-08-12T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Rate",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2025"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2025/Rate_PUF.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/c14eac80-8cd0-4a53-8132-2e8385ad9b46",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-11-20-to-2023-11-26",
      "identifier": "67483256-e996-4342-9867-fc0b6a67230f",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-11-27T20:57:15Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-11-20-to-2023-11-26",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-11-20-2023-to-11-26-2023.csv",
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      "@type": "Dataset",
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      "title": "Interventional Cardiology Office Visit Costs",
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        "@type": "Document",
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        "accessURL": "https://data.medicare.gov/provider-data/dataset/6787-a1bf"
      },
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      "contactPoint": {
        "fn": "PPL Dataset",
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      ],
      "title": "CoreSet pillar v3.3.4 (etl-test)",
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          "title": "Localities table",
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      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
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        "https://www.mathematica.org/"
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      "title": "CoreSEt measure_value v2.10.6 (coreset-etl-test)",
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      "inventoried": "2026-09-27"
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    {
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      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 12-08-2025-to-12-14-2025",
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      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
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        "fn": "Medicaid.gov",
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      "distribution": [
        {
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          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-12-08-2025-to-12-14-2025.csv",
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      "distribution": [
        {
          "title": "2022 payments grouped by covered recipient and nature of payments",
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      "title": "2022 payments grouped by covered recipient and nature of payments",
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      "title": "Scorecard measure v3.1.16 (feature-dev)",
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    {
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      "theme": [
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      ],
      "keyword": [
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        "Utility"
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      "title": "Scorecard state v3.1.16 (feature-dev)",
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      "title": "MMCC MCPAR PUF Data 2023",
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      "description": "The Managed Care Program Annual Reports (MCPARs) provide data across key topics for each Medicaid managed care program. States are required to submit reports annually, aligning with state contract cycles (see 42 CFR 438.66(e)(1)).\n<a href=\"https://www.medicaid.gov/resources-for-states/downloads/mcpar-2023.pdf\">MCPAR PUF Read me 2023</a>",
      "accessLevel": "public",
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      "license": "https://www.usa.gov/publicdomain/label/1.0/",
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        ]
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      "contactPoint": {
        "fn": "Medicaid.gov",
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      "distribution": [
        {
          "@type": "Distribution",
          "title": "MMCC MCPAR PUF",
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          "downloadURL": "https://download.medicaid.gov/data/mmcc-mcpar-puf-2023.csv",
          "describedBy": {
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            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/4bd9d85b-f8cf-4d54-a1ce-f89ad4e99040",
            "title": "data.medicaid.gov"
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      ],
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-07-17-to-2023-07-23",
      "identifier": "695e7a86-00c1-49b1-935a-6fef6cbf5835",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-10-17T15:58:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
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      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-07-17-to-2023-07-23",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-07-17-2023-to-07-23-2023-10172025.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
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    {
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      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
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      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
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      ],
      "keyword": [
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        "Utility"
      ],
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        "https://www.mathematica.org/"
      ],
      "title": "Scorecard TAG v0.2.4-1 (dev)",
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      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
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      ],
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        "Utility"
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        "https://www.mathematica.org/"
      ],
      "title": "Scorecard version v3.9.8 (CMS Test)",
      "modified": "2025-11-25T20:30:27Z",
      "distribution": [],
      "identifier": "6a5ca926-1f13-55c0-b970-66caa0f3be35",
      "@type": "Dataset",
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    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2013",
      "identifier": "6a91f80f-e2fd-5f43-8e38-afcebebb8387",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T12:31:51Z",
      "modified": "2026-04-03T16:17:41Z",
      "license": "https://www.usa.gov/government-works",
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          }
        ]
      },
      "contactPoint": {
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      },
      "theme": [
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      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2013.csv",
          "describedBy": {
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            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
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      ],
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Scorecard measure",
      "identifier": "6ac0cd59-34dd-5a2b-aca9-6f9322fbf7be",
      "description": "This is a dataset created for use by the Scorecard website, and is not intended for use outside that application.",
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      "accrualPeriodicity": "R/PT1S",
      "modified": "2023-03-23T12:06:23Z",
      "publisher": {
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        ]
      },
      "contactPoint": {
        "fn": "DataConnect Support Team",
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov"
      },
      "theme": [
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      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program",
      "identifier": "6b53cee3-300d-4779-b882-556d43ffe45b",
      "description": "The Table below, updated weekly, contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database. Each file on this table represents a snapshot of data in the system and is not updated by subsequent changes. Once the covered outpatient drugs in each of these files appear in the quarterly MDRP database, the file will be removed from this table. States can utilize these files to identify newly reported covered outpatient drugs.",
      "accessLevel": "public",
      "modified": "2021-10-13T11:43:22Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "description": "https://data.medicaid.gov/sites/default/files/uploaded_resources/newly-reported-drugs-october-files.csv",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/newly-reported-drugs-october-files.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2024 Individual Dental",
      "identifier": "6b755d82-519a-4b5c-b04d-04013c1a2d9c",
      "description": "The Dental Individual Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to consumers in the individual market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2024-08-06T04:00:00Z",
      "modified": "2024-08-14T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2024",
        "QHP Landscape Instructions",
        "Individual Market Dental",
        "SADP",
        "Individual"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2024/den-ind-lndscp-in.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "6b8f-5372",
      "title": "Emergency Medicine Office Visit Costs",
      "description": "Returns emergency medicine office visit costs per zip code for new and established patients.",
      "keyword": [
        "Emergency Medicine"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/3afc3d414b2fadb494f6270749bdd417_1722902724/Emergency_Medicine.csv",
          "mediaType": "text/csv",
          "title": "Emergency_Medicine.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Emergency Medicine Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/6b8f-5372"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "6bb76ae2-9498-4449-8ddc-a447a5fc0e74",
      "title": "Federal - National Death Index (NDI)",
      "description": "NDI data contains date of death certificate information for a given set of decedents with dates of death between specifically requested years.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VRDC Mailbox",
          "hasEmail": "mailto:VRDC@cms.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare and Medicaid Services (CMS)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "title": "Medicaid Enrollment - New Adult Group",
      "identifier": "6c114b2c-cb83-559b-832f-4d8b06d6c1b9",
      "description": "Total Medicaid Enrollees - VIII Group Break Out Report Reported on the CMS-64\n\nThe enrollment information is a state-reported count of unduplicated individuals enrolled in the state’s Medicaid program at any time during each month in the quarterly reporting period. The enrollment data identifies the total number of Medicaid enrollees and, for states that have expanded Medicaid, provides specific counts for the number of individuals enrolled in the new adult eligibility group, also referred to as the “VIII Group”. The VIII Group is only applicable for states that have expanded their Medicaid programs by adopting the VIII Group. This data includes state-by-state data for this population as well as a count of individuals whom the state has determined are newly eligible for Medicaid. All 50 states, the District of Columbia and the US territories are represented in these data.\n\nNotes:\n1. “VIII GROUP” is also known as the “New Adult Group.”\n2. The VIII Group is only applicable for states that have expanded their Medicaid programs by adopting the VIII Group. VIII Group enrollment information for the states that have not expanded their Medicaid program is noted as “N/A.”",
      "accessLevel": "public",
      "issued": "2017-11-10T01:05:58Z",
      "modified": "2026-02-05T15:17:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "VIII Group",
        "Expansion Population",
        "New Adult Group",
        "CMS-64",
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-enrollment-new-adult-group-02052026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://imp.data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/9d72d844-1ed3-4988-9fe9-b9988aa7588c",
            "title": "imp.data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "prodAuto_states_measures_download",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-13T13:41:41Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "states_measures_download csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/states_measures_download.csv",
          "description": "{\"dataset\": \"states_measures_download\", \"stage\": \"prodAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "6c64c58e-34fe-59bb-9d32-dcbbe8f49d13",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2019"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2019 payments grouped by reporting entities, covered recipient, and nature of payments",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_AMGPO_BY_CR_BY_NTR_OF_PYMT_PGYR2019_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "6c8251d4-3839-444b-810b-5bf035a23326",
      "title": "2019 payments grouped by reporting entities, covered recipient, and nature of payments",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-01-01",
          "endDate": "2019-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-03-13-to-2023-03-19",
      "identifier": "6de859d5-5ea7-42df-b5aa-1fc22c4b35a1",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-03-21T12:15:39Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-03-13-to-2023-03-19",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-3-13-2023-to-3-19-2023.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Business Rules PUF - PY2026",
      "identifier": "6df89be6-915d-4c0d-b53e-e1bf9cb4eab6",
      "description": "The Business Rules PUF (BR-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The BR-PUF contains plan-level data on rating business rules, such as maximum age for a dependent and allowed dependent relationships.  ",
      "accessLevel": "public",
      "issued": "2026-08-04T04:00:00Z",
      "modified": "2026-08-10T14:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Business Rules",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2026"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2026/business_rules_PUF.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt pillar v2.10.16 (coreset-dev0)",
      "identifier": "6e9ec91c-c298-5a59-bc0a-51f3b20f6c80",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-12T22:22:46Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt pillar v2.10.16 (coreset-dev0)",
          "description": "CoreSEt pillar v2.10.16 (coreset-dev0)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.16/20241029/pillar.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt state v2.10.22 (coreset-impl)",
      "identifier": "6ecbdafe-abf9-5744-8a5c-b63ee27a5ab2",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-15T00:22:21Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt state v2.10.22 (coreset-impl)",
          "description": "CoreSEt state v2.10.22 (coreset-impl)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/2.10.22/20241029/state.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "all years"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "Physician (distinct) profile information",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_PHYSN_NON_PHYSN_PRCTNR_PRFL_SRCH_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "6ed6ae76-2999-49da-b0b2-d7df150ac754",
      "title": "Physician (distinct) profile information",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet pillar v2.11.19-test (local)",
      "identifier": "6f27ead3-bc9e-529a-a2b1-2cf5efea881e",
      "modified": "2025-02-05T11:58:35Z",
      "distribution": [
        {
          "title": "CoreSet pillar v2.11.19-test (local)",
          "description": "CoreSet pillar v2.11.19-test (local)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/2.11.19-test/20241107/pillar.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 11-17-2025-to-11-23-2025",
      "identifier": "6f45a1c3-b195-4d1f-9264-75006ebefe25",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-11-24T21:45:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-11-17-2025-to-11-23-2025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2026 Individual Medical",
      "identifier": "6fe7fb77-7291-4104-952f-7c7e2c5d0c45",
      "description": "The Medical Individual Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to consumers in the individual market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2026-08-04T04:00:00Z",
      "modified": "2026-08-26T14:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Individual Market Medical",
        "QHP",
        "QHP Landscape",
        "Individual",
        "PY2026"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "zip",
          "downloadURL": "https://data.healthcare.gov/datafile/py2026/individual_market_medical.zip",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "Home Health QRP Help Desk",
        "hasEmail": "mailto:HomeHealthQualityQuestions@cms.hhs.gov"
      },
      "description": "A list of all Home Health Agencies that have been registered with Medicare. The list includes addresses, phone numbers, and quality measure ratings for each agency.",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/0260f790d69086d7330c10bcd51b9c3c_1782764087/HH_Provider_Jul2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/home_health/HHS_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "6jpm-sxkc",
      "issued": "2026-05-27",
      "keyword": [
        "Address",
        "Provider-level",
        "Provider Data",
        "Performance",
        "General Information",
        "Quality",
        "Ratings",
        "Comparison",
        "State",
        "Quality",
        "Measures",
        "National",
        "Average",
        "Quality Reporting Program"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Home Health Care Agencies",
        "accessURL": "https://data.cms.gov/provider-data/dataset/6jpm-sxkc"
      },
      "modified": "2026-05-27",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "released": "2026-07-15",
      "nextUpdateDate": "2026-10-21",
      "theme": [
        "Home health services"
      ],
      "title": "Home Health Care Agencies",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "6jwg-4k37",
      "title": "PLACES: ZCTA Data (GIS Friendly Format), 2024 release",
      "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population counts, and American Community Survey (ACS) 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the Census 2021 ZCTA boundary file in a GIS system to produce maps for 40 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-09-11",
      "issued": "2025-09-11",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "behaviors",
        "places",
        "prevalence",
        "prevention",
        "risk",
        "status",
        "zcta",
        "zip code",
        "disability",
        "gis",
        "health",
        "outcomes"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: ZCTA Data (GIS Friendly Format), 2024 release",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population counts, and American Community Survey (ACS) 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the Census 2021 ZCTA boundary file in a GIS system to produce maps for 40 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "accessURL": "https://data.cdc.gov/d/6jwg-4k37",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-ZCTA-Data-GIS-Friendly-Format-2024-release/6jwg-4k37/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-09-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/6jwg-4k37",
            "title": "PLACES: ZCTA Data (GIS Friendly Format), 2024 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: ZCTA Data (GIS Friendly Format) Series, 2020-2025",
          "description": "This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project from 2020-2025 in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States 50 states and the District of Columbia (DC) at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Outpatient and Ambulatory Surgery Consumer Assessment of Healthcare Providers and Systems (OAS CAHPS) survey for hospital outpatient departments - State",
        "accessURL": "https://data.cms.gov/provider-data/dataset/6pfg-whmx"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-10-14",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Ambulatory Surgical Center",
        "Outpatient",
        "Survey",
        "CAHPS",
        "State",
        "Surgery",
        "Outpatient Surgery"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "6pfg-whmx",
      "description": "A list of the state averages for the OAS CAHPS Survey responses. The OAS CAHPS survey collects information about patients' experiences of care in hospital outpatient departments (HOPDs) and ambulatory surgical centers (ASCs). The data are updated and reported each quarter with data from the most recently completed quarter replacing the oldest quarter of data.",
      "title": "Outpatient and Ambulatory Surgery Consumer Assessment of Healthcare Providers and Systems (OAS CAHPS) survey for hospital outpatient departments - State",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/5c995348b26c08179f1149d3b07dcb70_1785189954/OQR_OAS_CAHPS_STATE.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Veterans Health Administration Behavioral Health Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/6qxe-iqz8"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-05",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Veterans Health Administration",
        "Behavioral",
        "Psychiatric"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "6qxe-iqz8",
      "description": "A list of VHA hospitals with behavioral health measure data. VHA reports data on a set of core performance measures for Hospital-Based Inpatient Psychiatric Services (HBIPS), Substance Use, and Tobacco Treatment.",
      "title": "Veterans Health Administration Behavioral Health Data",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/0742f326b7a19b57bc01136b2cd8b7b6_1785189970/VA_IPF.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "6ryw-hetw",
      "title": "2021 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National ART Surveillance System",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-12-18",
      "issued": "2024-12-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Assisted Reproductive Technology (ART)"
        }
      ],
      "keyword": [
        "infertility",
        "art",
        "assisted reproductive technology",
        "clinic",
        "fertility",
        "success rates",
        "services"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Reproductive Health (DRH)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "ARTINFO"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2021 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics",
          "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.",
          "accessURL": "https://data.cdc.gov/d/6ryw-hetw",
          "downloadURL": "https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2021-Final-Assisted-Reproductive-Technology-ART-Pa/6ryw-hetw/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-12-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/6ryw-hetw",
            "title": "2021 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics Series",
          "description": "The ART Patient and Cycle Characteristics dataset series summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Skilled Nursing Facility Quality Reporting Program - Swing Beds - Provider Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/6uyb-waub"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-10-01",
      "@type": "Dataset",
      "modified": "2026-07-01",
      "released": "2026-07-29",
      "nextUpdateDate": "2026-10-28",
      "keyword": [
        "Skilled Nursing Facility Quality Reporting Program",
        "Swing Bed"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:SNFQRPPRQuestions@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "6uyb-waub",
      "description": "Non-Critical Access Hospitals (CAHs) with swing beds are hospitals that provide Medicare Part A Skilled Nursing Facility (SNF) services to beneficiaries and must report data on certain measures of quality to Medicare through the Skilled Nursing Facility Quality Reporting Program (SNF QRP). This file contains a list of the swing bed units participating in the SNF QRP, as well as their results on quality measures implemented under the IMPACT Act.",
      "title": "Skilled Nursing Facility Quality Reporting Program - Swing Beds - Provider Data",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/b260bfaa27393e8b12bfa95d3bb18c96_1784297730/Swing_Bed_SNF_data_Jul2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/nursing_home/NH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Nursing homes including rehab services"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2016 Dental SHOP",
      "identifier": "6vhe-5q6n",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T16:59:05Z",
      "modified": "2016-11-18T16:52:03Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
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      "@type": "Dataset",
      "title": "2019 Managed Care Programs By State",
      "identifier": "72135da5-f8b4-475b-b602-91621f4205d9",
      "description": "Dataset.",
      "accessLevel": "public",
      "modified": "2022-06-13T15:45:14Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
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        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/2019_Table9_10_updated.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "730a-fcd0",
      "title": "Mass Immunizer Roster Biller Office Visit Costs",
      "description": "Returns mass immunizer roster biller office visit costs per zip code for new and established patients.",
      "keyword": [
        "Mass Immunizer Roster Biller"
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      "issued": "2024-08-05",
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        }
      ],
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        "accessURL": "https://data.medicare.gov/provider-data/dataset/730a-fcd0"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2023 Individual Medical",
      "identifier": "731b5a4b-02ce-4e87-91fc-18854d3f3301",
      "description": "The Medical Individual Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to consumers in the individual market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2023-08-23T04:00:00Z",
      "modified": "2023-08-28T04:00:00Z",
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Individual Market Medical",
        "QHP",
        "Individual",
        "QHP Landscape Instructions",
        "PY2023"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2023/med-ind-lndscp-in.pdf"
        }
      ],
      "bureauCode": [
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      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2022 Individual Medical",
      "identifier": "7322f647-1be7-4e61-a91f-f5bced1d7795",
      "description": "The Medical Individual Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to consumers in the individual market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
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      "issued": "2022-08-10T12:00:00Z",
      "modified": "2022-08-17T13:30:00Z",
      "publisher": {
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          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Individual Market Medical",
        "Individual",
        "QHP Landscape Instructions",
        "QHP",
        "PY2022"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2022/med-ind-lndscp-in.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "735e-byxc",
      "title": "Nutrition, Physical Activity, and Obesity - Women, Infant, and Child",
      "description": "This dataset includes data on weight status for children aged 3 months to 4 years old from Women, Infant, and Children Participant and Program Characteristics (WIC-PC). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about WIC-PC visit https://www.fns.usda.gov/wic/national-survey-wic-participants.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Nutrition, Physical Activity, and Obesity",
          "hasEmail": "mailto:dnpaoinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Nutrition, Physical Activity, and Obesity (DNPAO)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-12",
      "issued": "2016-07-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Nutrition"
        },
        {
          "@type": "Concept",
          "prefLabel": "Physical Activity"
        },
        {
          "@type": "Concept",
          "prefLabel": "and Obesity"
        }
      ],
      "keyword": [
        "children",
        "wic-pc",
        "wic",
        "overweight",
        "obesity",
        "obese",
        "low income",
        "dnpao"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/DNPAO/index.html",
        "title": "Centers for Disease Control and Prevention (CDC), National Center for Chronic Disease Prevention and Health Promotion, Division of Nutrition, Physical Activity, and Obesity"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/DNPAO/index.html",
        "title": "DNPAO Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Nutrition, Physical Activity, and Obesity - Women, Infant, and Child",
          "description": "This dataset includes data on weight status for children aged 3 months to 4 years old from Women, Infant, and Children Participant and Program Characteristics (WIC-PC). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about WIC-PC visit https://www.fns.usda.gov/wic/national-survey-wic-participants.",
          "accessURL": "https://data.cdc.gov/d/735e-byxc",
          "downloadURL": "https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-Women-Infa/735e-byxc/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-05-12",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/735e-byxc",
            "title": "Nutrition, Physical Activity, and Obesity - Women, Infant, and Child"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2025 Individual Medical",
      "identifier": "735facd9-1df8-400e-b650-da881c728a2b",
      "description": "The Medical Individual Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to consumers in the individual market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2025-08-06T04:00:00Z",
      "modified": "2025-08-12T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Individual Market Medical",
        "QHP",
        "Individual",
        "QHP Landscape",
        "PY2025"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "zip",
          "downloadURL": "https://data.healthcare.gov/datafile/py2025/individual_market_medical.zip"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2009",
      "identifier": "737f7186-b4d5-5272-a997-0ee94f4d4c3b",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T13:10:36Z",
      "modified": "2026-04-03T15:42:43Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2009.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet version v3.9.97 (Implementation)",
      "identifier": "73bc163e-e689-5e09-bd18-95f96234a8c9",
      "modified": "2026-08-25T18:51:45Z",
      "distribution": [
        {
          "title": "CoreSet version v3.9.97 (Implementation)",
          "description": "CoreSet version v3.9.97 (Implementation)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.97/20260824/version.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "MLR Summary Reports",
      "identifier": "743f9f04-4473-41e2-9da2-9a89db65ee55",
      "description": "The MLR Summary Reports provide plan-specific MLRs for Medicaid managed care programs. The MLR summary report data include MLRs for MCOs, PIHPs, and PAHPs submitted by states under 42 CFR § 438.74.\n\nPlan-specific data include: \n•\tPlan name\n•\tReporting period start and end dates\n•\tReport Year\n•\tMLR numerator\n•\tMLR denominator\n•\tMember months\n•\tAdjusted MLR\n•\tRemittance amount owed by plan\n\nThe report also provides: \n•\tState \n•\tProgram name \n•\tProgram type \n•\tEligibility group (if applicable)",
      "accessLevel": "public",
      "issued": "2024-11-01T20:12:44Z",
      "modified": "2026-06-26T18:40:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "MLR Summary Reports",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mlr-public-use-file-updated06262026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/ef3a09ce-ec80-474a-80ff-8ee547168c13",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2021 Managed Care Programs By State",
      "identifier": "7459d190-e592-42e0-9b66-6f4e7e05eb9b",
      "description": "Dataset.",
      "accessLevel": "public",
      "modified": "2023-07-21T16:59:15Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/2021-Table9_07212023_2.csv"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet state v3.9.119 (ETL Test)",
      "identifier": "749f6075-a81d-5309-9b49-b213d4170882",
      "modified": "2026-09-22T20:25:28Z",
      "distribution": [
        {
          "title": "CoreSet state v3.9.119 (ETL Test)",
          "description": "CoreSet state v3.9.119 (ETL Test)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.119/20260901/state.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 07-13-2026 to 07-19-2026",
      "identifier": "74dd2cfa-5181-472b-a694-7c83f109397d",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2026-07-20T16:30:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-07-13-2026-to-07-19-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2014 ID Dental SHOP",
      "identifier": "752w-f3nq",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2013-12-11T00:32:50Z",
      "modified": "2014-08-20T21:57:38Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
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      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/ID_SHOP_Market_Dental_8_11_14.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "Physician Fee Schedule - March 2012 release. This file contains the revisions identified in the Middle Class Tax Relief and Job Creation Act of 2012 (MCTRJCA). Medicare payment rates under the Medicare Physician Fee Schedule (MPFS) are set according to statutory criteria. The following 2012 MPFS payment rates are reflective of the CY 2012 Medicare Physician Fee Schedule Final Rule, which was published in the Federal Register on November 28, 2011, and the CY 2012 Medicare Physician Fee Schedule Final Rule Correction Notice, which was published in the Federal Register on January 4, 2012. These payment rates are based on current law, including the Middle Class Tax Relief and Job Creation Act of 2012 (MCTRJCA), which provides for a zero percent update through December 31, 2012. The MCTRJCA extends several provisions of the Temporary Payroll Tax Cut Continuation Act of 2011 (TPTCCA). Please note that MCTRJCA does NOT extend add-on payments for mental health services and minimum payment for bone mass measurement (sections 307 and 309 of the TPTCCA, respectively). As such, effective March 1, 2012, the MPFS payment rates for these services have changed. 2012A: Medicare payment rates under the Medicare Physician Fee Schedule (MPFS) are set according to statutory criteria. The following 2012 MPFS payment rates are reflective of the CY 2012 Medicare Physician Fee Schedule Final Rule, which was published in the Federal Register on November 28, 2011, and the CY 2012 Medicare Physician Fee Schedule Final Rule Correction Notice that was put on display at the Office of the Federal Register on December 30, 2011. These payment rates are based on current law, including the Temporary Payroll Tax Cut Continuation Act of 2011, which provides for a zero percent update for the period of January 1, 2012 to February 29, 2012. The Centers for Medicare and Medicaid Services will work quickly to update MPFS payment rates in the event Congress passes legislation to prevent the negative update from going into effect on March 1, 2012. Please be on the alert for more information about the 2012 physician update as it becomes available.",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators212b.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "756800fc-4259-486d-95c3-2e251428dac9",
      "keyword": [
        "2012B",
        "indicators"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
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          "@type": "PeriodOfTime",
          "startDate": "2012-07-01",
          "endDate": "2012-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Indicators for 2012B",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "75D30121D12779 Task Order 0001",
      "title": "A Virtual Network to Investigate the Effectiveness of COVID-19 and Influenza Vaccines and Evaluate the Burden and Epidemiology of Respiratory Viruses (VISION 2.0)",
      "description": "Support the Virtual SARS-CoV-2, Influenza, and Other Respiratory Viruses Network (VISION) by facilitating the collection, management, and analysis of electronic health record (EHR) data that identify children and adults tested for or infected with SARS-CoV-2, influenza, and RSV. Ensure data capture across urgent care (UC), emergency department (ED), inpatient, and intensive care unit (ICU) settings, including information on immunization status, symptoms, disease severity, duration of illness, treatments, and clinical outcomes.\n\nUnique focus: Surveillance and vaccine effectiveness using EHR data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:visionproject@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD) Coronavirus and Other Respiratory Viruses Division (CORVD), Influenza Division (ID)",
        "subOrganizationOf": [
          {
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            "name": "Centers for Disease Control and Prevention (CDC)",
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            ]
          }
        ]
      },
      "accessRights": "non-public",
      "rightsHolder": [
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          "name": "Westat"
        }
      ],
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "75D30123C17595",
      "title": "Virtual Network Services (VISION)-EHR data to Investigate Effectiveness of Influenza Vaccine - Northern California",
      "description": "Electronic health record (EHR) data, that can identify patients with SARS-CoV-2, influenza, and RSV testing and infection, including in emergency department (ED), inpatient, and intensive care unit (ICU) settings, and collect details on immunization status, symptoms, severity, duration, treatments, and outcomes to address current and future information gaps. This RDP is known as the “Virtual SARS-CoV-2, Influenza, and Other respiratory viruses Network” (VISION).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-ID",
          "hasEmail": "mailto:visionproject@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD) Coronavirus and Other Respiratory Viruses Division (CORVD), Influenza Division (ID)",
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          {
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              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "VISION KPNC (Kaiser Permanente Northern California)"
        }
      ],
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "75D30123C18039",
      "title": "Virtual Network Services (VISION)-EHR data to Investigate Effectiveness of Influenza Vaccine - Southern California",
      "description": "Electronic health record (EHR) data, that can identify patients with influenza and RSV testing and infection, including in urgent care (UC), emergency department (ED), inpatient, and intensive care unit (ICU) settings, and collect details on immunization status, symptoms, severity, duration, treatments, and outcomes to address current and future information gaps. This RDP is known as the “Virtual SARS-CoV-2, Influenza, and Other respiratory viruses Network” (VISION).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-ID",
          "hasEmail": "mailto:visionproject@cdc.gov"
        }
      ],
      "publisher": {
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        "name": "National Center for Immunization and Respiratory Diseases (NCIRD) Coronavirus and Other Respiratory Viruses Division (CORVD), Influenza Division (ID)",
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          }
        ]
      },
      "accessRights": "non-public",
      "rightsHolder": [
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          "name": "VISION KPSC (Kaiser Permanente Southern California)"
        }
      ],
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "75H70423C00008",
      "title": "ECRI Capital Guide and Alerts Workflow",
      "description": "Subscription providing medical equipment benchmarking, capital planning data, and safety alerts.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Jose Diaz",
          "hasEmail": "mailto:Jose.Diaz@ihs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Environmental Health and Engineering (OEHE)",
        "subOrganizationOf": [
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            "name": "Indian Health Service (IHS)",
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              }
            ]
          }
        ]
      },
      "accessRights": "restricted public",
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.ecri.org",
        "title": "ecri.org"
      },
      "rightsHolder": [
        {
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          "name": "ECRI"
        }
      ],
      "creator": {
        "@type": "Agent",
        "name": "ECRI"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "CONTRACT-75H70423C00008",
          "type": "purchased data asset ID"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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      ],
      "bureauCode": [
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      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard version v3.9.9 (CMS Test)",
      "modified": "2025-11-25T21:01:23Z",
      "distribution": [],
      "identifier": "75a6a471-abf9-530c-b195-3e330b1fd3ef",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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        ]
      },
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      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard measure v3.9.22 (Development)",
      "identifier": "75fe7241-d60e-525f-bf3e-e94acfda708b",
      "modified": "2025-12-08T17:30:20Z",
      "distribution": [
        {
          "title": "Scorecard measure v3.9.22 (Development)",
          "description": "Scorecard measure v3.9.22 (Development)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.22/20251205/measure.csv",
          "mediaType": "text/csv",
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      "contactPoint": {
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      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
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        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSEt measure v2.10.6 (coreset-etl-test)",
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      "distribution": [
        {
          "title": "CoreSEt measure v2.10.6 (coreset-etl-test)",
          "description": "CoreSEt measure v2.10.6 (coreset-etl-test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.6/20241023/measure.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "75ff3421-7f51-5d22-af3c-83c71affd5eb",
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NADAC (National Average Drug Acquisition Cost) 2016",
      "identifier": "7656fc17-f1b4-566b-9a2d-c4a4f2ac7ae1",
      "description": "National Average Drug Acquisition Cost (NADAC) weekly reference data for the calendar year.",
      "accessLevel": "public",
      "issued": "2014-11-07T15:54:00Z",
      "modified": "2021-08-23T17:58:05Z",
      "license": "https://www.usa.gov/government-works",
      "temporal": [
        {
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          "startDate": "2016-01-01",
          "endDate": "2017-01-01"
        }
      ],
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "National Average Drug Acquisition Cost (NADAC)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/nadac-national-average-drug-acquisition-cost.a4y5-998d.7656fc17-f1b4-566b-9a2d-c4a4f2ac7ae1.csv",
          "describedBy": {
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            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/de58d5ec-4515-494e-ae3f-620200f72989",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NADAC (National Average Drug Acquisition Cost) 2019",
      "identifier": "76a1984a-6d69-5e4d-86c8-65eb31f0506d",
      "description": "National Average Drug Acquisition Cost (NADAC) weekly reference data for the calendar year.",
      "accessLevel": "public",
      "issued": "2014-11-07T15:54:00Z",
      "modified": "2021-08-23T18:00:11Z",
      "license": "https://www.usa.gov/government-works",
      "temporal": [
        {
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          "startDate": "2019-01-01",
          "endDate": "2020-01-01"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "National Average Drug Acquisition Cost (NADAC)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/nadac-national-average-drug-acquisition-cost.a4y5-998d.76a1984a-6d69-5e4d-86c8-65eb31f0506d.csv",
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            "title": "data.medicaid.gov"
          },
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      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": " For January 1, 2015 through March 31, 2015, the PFS update was set at 0.0 percent by the Protecting Access to Medicare Act. After applying the budget neutrality adjustment of 0.9981, the conversion factor for January 1, 2015, through March 31, 2015 is $35.7547. Under the provisions of current law regarding the SGR, the conversion factor will change to $28.1872 on April 1, 2015 in the absence of Congressional action. In addition, the geographic practice cost index work floor of 1.0 expires on March 31, 2015 in the absence of legislative action.",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators215a.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
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        }
      ],
      "identifier": "76f463df-37db-4204-b833-8c940e695834",
      "keyword": [
        "2015A",
        "indicators"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
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      ],
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        "name": "Centers for Medicare and Medicaid Services"
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        }
      ],
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      ],
      "title": "Indicators for 2015A",
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      "inventoried": "2026-09-27"
    },
    {
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      "contactPoint": {
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      },
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      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
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      ],
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      ],
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      ],
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          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.3.4/20250110/version.csv",
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      ],
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    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2017",
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      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
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      "issued": "2017-07-20T18:11:04Z",
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      },
      "contactPoint": {
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      },
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      ],
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        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
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          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2017.csv",
          "describedBy": {
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      ],
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      ],
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2024 Medical SHOP",
      "identifier": "77bae5d1-43da-4348-9679-82b7d1ce3eb8",
      "description": "The Medical SHOP Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2024-08-06T04:00:00Z",
      "modified": "2024-08-14T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2024",
        "QHP Landscape Instructions",
        "SHOP Market Medical",
        "QHP",
        "SHOP"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2024/med-shop-lndscp-in.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet pillar v3.9.119 (Development)",
      "identifier": "77bfc8f8-bd07-5ac2-895b-546636b7c458",
      "modified": "2026-09-22T20:36:50Z",
      "distribution": [
        {
          "title": "CoreSet pillar v3.9.119 (Development)",
          "description": "CoreSet pillar v3.9.119 (Development)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.119/20260901/pillar.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Healthcare Associated Infections - Hospital",
        "accessURL": "https://data.cms.gov/provider-data/dataset/77hc-ibv8"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-05",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Healthcare Associated Infections",
        "MRSA",
        "Surgical Site Infections",
        "Central Line Associated Blood Stream Infections",
        "Catheter Associated Urinary Tract Infections",
        "C.Difficile"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "77hc-ibv8",
      "description": "The Healthcare-Associated Infection (HAI) measures - provider data. These measures are developed by Centers for Disease Control and Prevention (CDC) and collected through the National Healthcare Safety Network (NHSN). They provide information on infections that occur while the patient is in the hospital. These infections can be related to devices, such as central lines and urinary catheters, or spread from patient to patient after contact with an infected person or surface. Many healthcare associated infections can be prevented when the hospitals use CDC-recommended infection control steps.",
      "title": "Healthcare Associated Infections - Hospital",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/43825e12dc0c923df9ba5cbdf473c9d5_1785189952/Healthcare_Associated_Infections-Hospital.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "featAuto_measure_concernLevel",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-09-25T14:18:32Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_featAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_concernLevel csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20250924_ETL_DEV/measure_concernLevel.csv",
          "description": "{\"dataset\": \"measure_concernLevel\", \"stage\": \"featAuto\", \"update_id\": \"20250924_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "78430aaa-df0a-5343-92a5-395dcf7c5e33",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "prodAuto_footnotes",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-13T13:41:41Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "footnotes csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/footnotes.csv",
          "description": "{\"dataset\": \"footnotes\", \"stage\": \"prodAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "78827f1a-9877-5d7d-9319-ac1f298d86d5",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rolling Draft List map data",
      "identifier": "788af26d-b820-4647-843e-98a955f3aa2f",
      "description": "This data powers the ECP map.",
      "accessLevel": "public",
      "issued": "2024-11-27T05:00:00Z",
      "modified": "2024-11-27T05:20:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:EssentialCommunityProviders@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/ECP_LIST_AUTOPOP_20260113_0.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet measure_value v3.9.97 (Implementation)",
      "identifier": "78950031-dea0-53d7-9247-d5affba75d96",
      "modified": "2026-08-25T18:51:45Z",
      "distribution": [
        {
          "title": "CoreSet measure_value v3.9.97 (Implementation)",
          "description": "CoreSet measure_value v3.9.97 (Implementation)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.97/20260824/measure_value.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-10-16-to-2023-10-22",
      "identifier": "789babe6-36f6-4023-bf8d-b4fcc6313b11",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-10-23T04:00:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-10-16-to-2023-10-22",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-10-16-2023-to-10-22-2023.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2020"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2020 payments grouped by covered recipient and reporting entities",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_CR_BY_AMGPO_PGYR2020_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "78ad9c8d-d7ae-4066-bf2d-a66e3c9d6e3b",
      "title": "2020 payments grouped by covered recipient and reporting entities",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-01",
          "endDate": "2020-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard pillar v3.9.22 (Development)",
      "identifier": "78d44223-b50f-5a31-91d3-ac9b2b609556",
      "modified": "2025-12-08T17:30:20Z",
      "distribution": [
        {
          "title": "Scorecard pillar v3.9.22 (Development)",
          "description": "Scorecard pillar v3.9.22 (Development)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.22/20251205/pillar.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt version v2.10.16 (coreset-dev0)",
      "identifier": "792f9cf5-a4c9-5d41-a267-14ff9962456b",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-12T22:28:26Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt version v2.10.16 (coreset-dev0)",
          "description": "CoreSEt version v2.10.16 (coreset-dev0)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.16/20241029/version.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Machine Readable PUF - PY2024",
      "identifier": "79409395-1868-4895-8601-e39a6a9266fe",
      "description": "The Machine Readable PUF (MR-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The MR-PUF contains issuer-level URL locations for machine-readable network provider and formulary information.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2024-08-26T04:00:00Z",
      "modified": "2024-08-27T16:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2024",
        "Machine Readable",
        "Exchange PUF",
        "Marketplace PUF"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "xlsx",
          "downloadURL": "https://data.healthcare.gov/datafile/py2024/machine_readable_PUF.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rate PUF - PY2018",
      "identifier": "7956-2yzc",
      "description": "The Rate PUF (Rate-PUF) is one of the files that make up the Marketplace PUF. The Rate-PUF contains plan-level data on individual rates based on an eligible subscriber’s age, tobacco use, and geographic location. These data either originate from the Rate Table template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2017-10-25T18:13:56Z",
      "modified": "2018-08-14T12:26:51Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Jennings",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/rate-puf-2018.7956-2yzc.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/ebc802df-e2ef-433e-9d22-64467af664b5",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Share of Medicaid Enrollees in Managed Care",
      "identifier": "79692ea5-21e1-56bf-8149-97d437120c4b",
      "description": "2024 Share of Medicaid Enrollees in Managed Care\n\nThe Share of Medicaid Enrollees in Managed Care table (Table 4 in the Enrollment Report) displays the total number of Medicaid enrollees nationally, and by state and territory, as well as the number and percentage of the total in any type of managed care, and the number and percentage of the total enrolled in comprehensive managed care.\n\n1.\tThe “Total Medicaid Enrollees” column represents an unduplicated count of all enrollees in FFS and any type of managed care, including Medicaid-only and dually eligible individuals receiving full Medicaid benefits or Medicaid cost sharing.\n2.\tThe “Total Medicaid Enrollment in Any Type of Managed Care: Number of Individuals” column represents an unduplicated count of enrollees in any Medicaid managed care program, including comprehensive MCOs, limited benefit MCOs, PCCMs, and PCCM Entities.\n3.\tThe “Medicaid Enrollment in Comprehensive Managed Care: Number of Individuals” column represents a count of Medicaid enrollees in a managed care plan that provides comprehensive benefits (acute, primary care, specialty, and any other), as well as PACE programs. It excludes individuals enrolled in a Financial Alignment Initiative Medicare-Medicaid Plan as their only form of managed care.\n4.\tTennessee’s 2024 data submission indicated they were unable to provide an unduplicated count of enrollees in comprehensive MCO programs. Because Tennessee operates a comprehensive MCO program and a PACE program, their reported “Total Medicaid Enrollment in Any Type of Managed Care” was used to populate “Medicaid Enrollment in Comprehensive Managed Care” in Table 4.\n\nNotes: \"--\" indicates the state or territory does not operate a specific program type or does not have a managed care program.\n\nTen states (California, Michigan, Minnesota, Missouri, New Jersey, Nevada, Ohio, Oregon, Virginia, Washington) reported data for “Medicaid Enrollment in Comprehensive Managed Care” that was greater than “Total Medicaid Enrollment in Any Type of Managed Care” but did not provide an explanation for why the number was greater.\n\nAlaska, American Samoa, Connecticut, Guam, Northern Mariana Islands, and the U.S. Virgin Islands do not operate Medicaid managed care programs. For these states and territories, the “Total Medicaid Enrollees” reported in this table is total Medicaid enrollment as of June 1, 2024, from the Medicaid Budget and Expenditure System, accessed on April 23, 2025. See https://data.medicaid.gov/dataset/6c114b2c-cb83-559b-832f-4d8b06d6c1b9/.\t\n\n2023 Share of Medicaid Enrollees in Managed Care\n\nThe Share of Medicaid Enrollees in Managed Care table (Table 4 in the Enrollment Report) displays the total number of Medicaid enrollees nationally, and by state and territory, as well as the number and percentage of the total in any type of managed care, and the number and percentage of the total enrolled in comprehensive managed care.\n\n1.\tThe “Total Medicaid Enrollees” column represents an unduplicated count of all enrollees in FFS and any type of managed care, including Medicaid-only and dually eligible individuals receiving full Medicaid benefits or Medicaid cost sharing.\n2.\tThe “Total Medicaid Enrollment in Any Type of Managed Care: Number of Individuals” column represents an unduplicated count of enrollees in any Medicaid managed care program, including comprehensive MCOs, limited benefit MCOs, PCCMs, and PCCM Entities.\n3.\tThe “Medicaid Enrollment in Comprehensive Managed Care: Number of Individuals” column represents a count of Medicaid enrollees in a managed care plan that provides comprehensive benefits (acute, primary care, specialty, and any other), as well as PACE programs. It excludes individuals enrolled in a Financial Alignment Initiative Medicare-Medicaid Plan as their only form of managed care.\n4.\tTennessee’s 2023 data submission indicated they were unable to provide an unduplicated count of enrollees in comprehensive MCO programs. Because Tennessee operates a comprehensive MCO program and a PACE program, their reported “Total Medicaid Enrollment in Any Type of Managed Care” was used to populate “Medicaid Enrollment in Comprehensive Managed Care” in Table 4.\n\nNotes: \"--\" indicates the state or territory does not operate a specific program type or does not have a managed care program.\n\nNine states (Michigan, Minnesota, Missouri, New Jersey, Nevada, Ohio, Oregon, Virginia, Washington) reported data for “Medicaid Enrollment in Comprehensive Managed Care” that was greater than “Total Medicaid Enrollment in Any Type of Managed Care” but did not provide an explanation for why the number was greater. One of these states (Michigan) reported data for “Medicaid Enrollment in Comprehensive Managed Care” that was greater than “Total Medicaid Enrollees” but did not provide an explanation for why the number was greater.\n\nAlaska, American Samoa, Connecticut, Guam, Northern Mariana Islands, and the U.S. Virgin Islands do not operate Medicaid managed care programs. For these states and territories, the “Total Medicaid Enrollees” reported in this table is total Medicaid enrollment as of July 1, 2023, from the Medicaid Budget and Expenditure System, accessed on April 23, 2025. See https://data.medicaid.gov/dataset/6c114b2c-cb83-559b-832f-4d8b06d6c1b9/.",
      "accessLevel": "public",
      "issued": "2017-12-05T21:59:37Z",
      "modified": "2026-02-12T13:25:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Jeff Chamblee",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Comprehensive Managed Care",
        "Managed Care",
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/share-of-medicaid-enrollees-in-managed-care.2024-table5.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt filters v2.10.22 (coreset-impl)",
      "identifier": "7973548e-1362-5969-8ee7-8e9ea0cda0fe",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-15T00:22:21Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt filters v2.10.22 (coreset-impl)",
          "description": "CoreSEt filters v2.10.22 (coreset-impl)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/2.10.22/20241029/filters.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "The Medicare Access and CHIP Reauthorization Act of 2015 (MACRA) repealed the Medicare sustainable growth rate (SGR) update formula for payments under the Medicare Physician Fee Schedule. For 2016, the Physician Fee Schedule update factor is 0.5% and the conversion factor is 35.8043.",
      "distribution": [
        {
          "title": "Localities table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2016.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "7986bc41-b805-4875-a0c0-edb816cb4f6d",
      "keyword": [
        "2016",
        "localities"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2016-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2016",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard filters v3.3.1 (dev)",
      "identifier": "79953b14-7831-55e3-826e-e536e797c75c",
      "modified": "2025-05-09T16:00:06Z",
      "distribution": [
        {
          "title": "Scorecard filters v3.3.1 (dev)",
          "description": "Scorecard filters v3.3.1 (dev)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.3.1/20250506/filters.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard state v3.9.137 (ETL Test)",
      "identifier": "7a2f3f40-7955-5018-be8a-9bc3347fd05c",
      "modified": "2026-09-21T03:25:08Z",
      "distribution": [
        {
          "title": "Scorecard state v3.9.137 (ETL Test)",
          "description": "Scorecard state v3.9.137 (ETL Test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.137/20260918/state.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "implAuto_measure_allStates",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-05T18:10:13Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_implAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_allStates csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/measure_allStates.csv",
          "description": "{\"dataset\": \"measure_allStates\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "7a7af4ad-3403-5ad7-8983-b2db6c203a82",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet state v2.11.19-test (local)",
      "identifier": "7a7c087d-83f5-5056-94c9-6d479b7b7b49",
      "modified": "2025-02-05T11:58:35Z",
      "distribution": [
        {
          "title": "CoreSet state v2.11.19-test (local)",
          "description": "CoreSet state v2.11.19-test (local)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/2.11.19-test/20241107/state.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet version v3.9.119 (Development)",
      "identifier": "7b094759-dc32-5e07-98a7-40dba23b1605",
      "modified": "2026-09-22T20:36:50Z",
      "distribution": [
        {
          "title": "CoreSet version v3.9.119 (Development)",
          "description": "CoreSet version v3.9.119 (Development)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.119/20260901/version.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "7b9s-s8ck",
      "title": "Rates and Trends in Heart Disease and Stroke Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex  –  2000-2019",
      "description": "This dataset documents rates and trends in heart disease and stroke mortality. Specifically, this report presents county (or county equivalent) estimates of heart disease and stroke death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35 – 64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indialaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (women, men). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Heart Disease and Stroke Surveillance",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division for Heart Disease and Stroke Prevention (DHDSP)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-02-18",
      "issued": "2022-02-18",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Heart Disease & Stroke Prevention"
        }
      ],
      "keyword": [
        "counties",
        "heart",
        "county",
        "cardiovascular disease",
        "cardiovascular",
        "stroke",
        "heart disease"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nchs/nvss/deaths.htm",
        "title": "Centers for Disease Control and Prevention, Division for Heart Disease and Stroke Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nchs/nvss/deaths.htm",
        "title": "DHDSP Requests"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Rates and Trends in Heart Disease and Stroke Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019",
          "description": "This dataset documents rates and trends in heart disease and stroke mortality. Specifically, this report presents county (or county equivalent) estimates of heart disease and stroke death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35 – 64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indian/Alaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (women, men). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.",
          "accessURL": "https://data.cdc.gov/d/7b9s-s8ck",
          "downloadURL": "https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Rates-and-Trends-in-Heart-Disease-and-Stroke-Morta/7b9s-s8ck/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2022-02-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/7b9s-s8ck",
            "title": "Rates and Trends in Heart Disease and Stroke Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
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                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "7bdf5d94-c94d-4555-a609-3110eb19f9a1",
      "title": "Private Vendor licensing HCIDea and DataQ products",
      "description": "NCPD Data Products: 1) DataQ (Pharmacies) and 2) HCIdea (Prescribers - taxonomy codes, credentials, practice location)",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VRDC Mailbox",
          "hasEmail": "mailto:VRDC@cms.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare and Medicaid Services (CMS)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "identifier": "7c5144d9-1b2a-5039-a91a-cccb8ed7805c",
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "all years"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "Groups payment data by state, recipient type, and nature of payment.",
      "distribution": [
        {
          "title": "State level payment total and averages by Nature of Payment for all years",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_NTR_OF_PYMT_BY_STATE_SMRY_PGYRall_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "title": "State payment totals and averages grouped by Nature of Payment for all years",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
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        {
          "@type": "PeriodOfTime",
          "startDate": "2022-01-01",
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        }
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
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      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Indicators for 2026",
      "identifier": "7c7df311-5315-4f38-b9ed-fd62f8bebe11",
      "description": "2026: The CY 2026 Medicare Physician Fee Schedule has been updated by the annual PFS Final Rule for various new policies and for new and existing CPT/HCPCS codes for this latest calendar year, which becomes effective starting January 1, 2026, with PFS conversion factor of $33.4009.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P3M",
      "issued": "2026-01-01",
      "modified": "2026-07-01T17:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "theme": [
        "Medicare"
      ],
      "keyword": [
        "indicators",
        "2026"
      ],
      "distribution": [
        {
          "@type": "Distribution",
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          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2026-07-01-2026.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
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      "accessLevel": "public",
      "keyword": [
        "2021"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2021 payments grouped by covered recipient and reporting entities",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_CR_BY_AMGPO_PGYR2021_P06302026_06032026.csv",
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        }
      ],
      "identifier": "7c9ebb83-8f88-5462-ab7d-1925b0113cfc",
      "title": "2021 payments grouped by covered recipient and reporting entities",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
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        }
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
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      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard state v3.9.137 (CMS Test)",
      "identifier": "7ca40c25-d5ac-5336-a4ef-4f553797eb8e",
      "modified": "2026-09-21T11:30:52Z",
      "distribution": [
        {
          "title": "Scorecard state v3.9.137 (CMS Test)",
          "description": "Scorecard state v3.9.137 (CMS Test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.137/20260918/state.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "7cmc-7y5g",
      "title": "PLACES: County Data (GIS Friendly Format), 2023 release",
      "description": "This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2021 or 2020 county population estimates, and American Community Survey (ACS) 2017 – 2021 or 2016 – 2020 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census 2020 county boundary file in a GIS system to produce maps for 36 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-07-10",
      "issued": "2024-07-10",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "behaviors",
        "status",
        "risk",
        "prevention",
        "prevalence",
        "places",
        "outcomes",
        "health",
        "gis",
        "disability",
        "county"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: County Data (GIS Friendly Format), 2023 release",
          "description": "This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2021 or 2020 county population estimates, and American Community Survey (ACS) 2017 – 2021 or 2016 – 2020 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census 2020 county boundary file in a GIS system to produce maps for 36 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",
          "accessURL": "https://data.cdc.gov/d/7cmc-7y5g",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-County-Data-GIS-Friendly-Format-2023-releas/7cmc-7y5g/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-07-10",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/7cmc-7y5g",
            "title": "PLACES: County Data (GIS Friendly Format), 2023 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: County Data (GIS Friendly Format) Series, 2020-2025",
          "description": "This dataset contains model-based county-level estimates in GIS-friendly format from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "Hospice CAHPS Help Desk",
        "hasEmail": "mailto:hospicecahpssurvey@hsag.com"
      },
      "description": "This data set contains the national average (mean) scores of Medicare-certified hospice providers on the Consumer Assessment of Healthcare Providers and Systems (CAHPS®) Hospice Survey measures.",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/08a9f75c79cfaada32d0ede156c827cd_1786385146/National_CAHPS_Hospice_Survey_Data_Aug2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospice/HOSPICE_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "7cv8-v37d",
      "issued": "2026-08-07",
      "keyword": [
        "Patient Survey",
        "National",
        "Average",
        "CAHPS",
        "Patient Experience of Care"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Hospice care - National CAHPS Hospice Survey Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/7cv8-v37d"
      },
      "modified": "2026-08-07",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "released": "2026-08-26",
      "theme": [
        "Hospice care"
      ],
      "title": "Hospice care - National CAHPS Hospice Survey Data",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "PY 2024 Clinician Public Reporting: MIPS Measures and Attestations",
        "accessURL": "https://data.cms.gov/provider-data/dataset/7d6a-e7a6"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-11-30",
      "@type": "Dataset",
      "modified": "2026-08-18",
      "released": "2026-09-10",
      "keyword": [
        "Clinicians",
        "Performance",
        "Quality",
        "Measures",
        "MIPS",
        "Quality Payment Program"
      ],
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:QPP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "7d6a-e7a6",
      "description": "This file contains performance information for Merit-Based Incentive Payment System (MIPS) Quality, Promoting Interoperability, and Improvement Activities performance information submitted by clinicians.",
      "title": "PY 2024 Clinician Public Reporting: MIPS Measures and Attestations",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/56a1d1a091721e42af801a74beb54408_1787091344/ec_public_reporting.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/physician/DOC_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Doctors and clinicians"
      ],
      "archiveExclude": false,
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Beneficiaries receiving a physical hlth serv among beneficiaries receiving a mental hlth serv, by physical hlth cond, 2017-2021",
      "identifier": "7db0e932-5275-4c3c-b4b6-8dc5f1520c3b",
      "description": "This table presents beneficiaries who received a service for a physical health condition among beneficiaries who received a service for a mental health condition, by physical health condition, 2017-2021.\n\nSome states have serious data quality issues, making the data unusable for identifying this population. To assess data quality, analysts used measures featured in the DQ Atlas. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional, Gender, Age, Zip code, Race and ethnicity, Eligibility group code, Enrollment in CMC Plans. \n\nData from Maryland, Tennessee, and Utah are omitted for the tables due to data quality concerns. Maryland was excluded in 2017 due to unusable diagnosis codes in the IP file and the OT file. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2020. In addition, states with a high data quality concern on one or more measures are noted in the table in the \"Data Quality\" column. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T17:47:01Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Mental Health Condition",
        "Physical Health Condition",
        "Behavioral Health Care",
        "Integrated Care",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Beneficiaries receiving a physical hlth serv among beneficiaries receiving a mental hlth serv, by physical hlth cond, 2017-2021",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/benf-rcving-phy-hlth-amg-ben-rcvin-mntl-hlth-serv-2017-2021.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard VERSION vCORESET.1.1-test (coreset-local)",
      "modified": "2024-05-07T13:24:28Z",
      "distribution": [
        {
          "title": "Scorecard VERSION vCORESET.1.1-test (coreset-local)",
          "description": "Scorecard VERSION vCORESET.1.1-test (coreset-local)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/CORESET.1.1-test/20240430/VERSION.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "7dd7d8bd-d353-5836-b7bd-33d034afbd50",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-07-24-to-2023-07-30",
      "identifier": "7dd8dbcf-53ca-43eb-a423-003026e24972",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-08-01T15:27:41Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-07-24-to-2023-07-30",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-07-24-2023-to-07-30-2023.csv.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
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      "identifier": "7r3j-8gie",
      "description": "Plan Year 2018 SHOP Medical Landscape",
      "accessLevel": "public",
      "issued": "2017-10-24T16:15:15Z",
      "modified": "2019-02-18T23:24:40Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "qhp"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/qhp-py2018-medi-shop-land-10-23-2017.7r3j-8gie.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/05d5e463-28e1-4028-af1e-08cd24232537",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2017 Individual Dental",
      "identifier": "7t6s-5f2x",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2016-11-07T15:41:03Z",
      "modified": "2017-08-23T19:55:49Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Eze Onuoha",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/Dental_Individual_Landscape_Instructions_and_Notes_08-11-2017.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:IRFQualityQuestions@cms.hhs.gov"
      },
      "description": "This dataset shows characteristics of the inpatient rehabilitation facilities that are shown on Inpatient Rehabilitation Facility Compare.",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/dfc1c2f6b3882096ee5eff28272b1028_1788977188/Inpatient_Rehabilitation_Facility-General_Information_Sep2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/inpatient/IRF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "7t8x-u3ir",
      "issued": "2026-08-12",
      "keyword": [
        "Rehabilitation",
        "General Information",
        "Address",
        "Location",
        "Quality Reporting"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Inpatient Rehabilitation Facility - General Information",
        "accessURL": "https://data.cms.gov/provider-data/dataset/7t8x-u3ir"
      },
      "modified": "2026-08-12",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "released": "2026-09-23",
      "theme": [
        "Inpatient rehabilitation facilities"
      ],
      "title": "Inpatient Rehabilitation Facility - General Information",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rate PUF - PY2021",
      "identifier": "7wqt-7ky9",
      "description": "The Rate PUF (Rate-PUF) is one of the files that make up the Marketplace PUF. The Rate-PUF contains plan-level data on individual rates based on an eligible subscriber’s age, tobacco use, and geographic location. These data either originate from the Rate Table template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2020-10-09T15:33:31Z",
      "modified": "2021-08-11T12:49:02Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andy Elkins",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/rate-puf-2021.7wqt-7ky9.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/c14eac80-8cd0-4a53-8132-2e8385ad9b46",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2025"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "Ownership Payment Data - Detailed Dataset 2025 Reporting Year\nAll ownership and investment payments from the 2025 program year [January 1 – December 31, 2025]",
      "distribution": [
        {
          "title": "Ownership Payment Data - Detailed Dataset 2025 Reporting Year",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/PGYR2025_P06302026_06032026/OP_DTL_OWNRSHP_PGYR2025_P06302026_06032026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://openpaymentsdata.cms.gov/api/1/metastore/schemas/data-dictionary/items/0b7b03cb-835c-50c4-abbb-5a311eb91858",
            "title": "openpaymentsdata.cms.gov"
          },
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "800aed1b-20ed-4d19-b0c9-dcd10f197ffc",
      "title": "2025 Ownership Payment Data",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2025-01-01",
          "endDate": "2025-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Ownership Payments"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Benefits and Cost Sharing PUF - PY2025",
      "identifier": "8060e816-b052-42b3-ad60-9eac699d7c8b",
      "description": "The Benefits and Cost Sharing PUF (BenCS-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The BenCS-PUF contains plan variant-level data on essential health benefits, coverage limits, and cost sharing for each QHP and SADP.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2025-08-06T04:00:00Z",
      "modified": "2025-08-12T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Benefits and Cost Sharing",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2025"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2025/Benefits_Cost_Sharing_PUF.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/185f6fff-e7c4-443b-bdaf-285a8d308af8",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Medicaid and CHIP enrollees who received mental health or SUD services",
      "identifier": "8062e2f4-4c0a-41c9-8217-979468a80986",
      "description": "This data set includes annual counts and percentages of Medicaid and Children’s Health Insurance Program (CHIP) enrollees who received mental health (MH) or substance use disorder (SUD) services, overall and by six subpopulation topics: age group, sex or gender identity, race and ethnicity, urban or rural residence, eligibility category, and primary language.\nThese results were generated using Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF) Release 1 data and the Race/Ethnicity Imputation Companion File. This data set includes Medicaid and CHIP enrollees in all 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands, ages 12 to 64 at the end of the calendar year, who were not dually eligible for Medicare and were continuously enrolled with comprehensive benefits for 12 months, with no more than one gap in enrollment exceeding 45 days. Enrollees who received services for both an MH condition and SUD in the year are counted toward both condition categories. Enrollees in Guam, American Samoa, the Northern Mariana Islands, and select states with TAF data quality issues are not included. Results shown for the race and ethnicity subpopulation topic exclude enrollees in the U.S. Virgin Islands. Results shown for the primary language subpopulation topic exclude select states with data quality issues with the primary language variable in TAF. Some rows in the data set have a value of \"DS,\" which indicates that data were suppressed according to the Centers for Medicare &amp; Medicaid Services’ Cell Suppression Policy for values between 1 and 10.\nThis data set is based on the brief: \"Medicaid and CHIP enrollees who received mental health or SUD services in 2020.\" Enrollees are assigned to an age group subpopulation using age as of December 31st of the calendar year. Enrollees are assigned to a sex or gender identity subpopulation using their latest reported sex in the calendar year. Enrollees are assigned to a race and ethnicity subpopulation using the state-reported race and ethnicity information in TAF when it is available and of good quality; if it is missing or unreliable, race and ethnicity is indirectly estimated using an enhanced version of Bayesian Improved Surname Geocoding (BISG) (Race and ethnicity of the national Medicaid and CHIP population in 2020). Enrollees are assigned to an urban or rural subpopulation based on the 2010 Rural-Urban Commuting Area (RUCA) code associated with their home or mailing address ZIP code in TAF (Rural Medicaid and CHIP enrollees in 2020). Enrollees are assigned to an eligibility category subpopulation using their latest reported eligibility group code, CHIP code, and age in the calendar year. Enrollees are assigned to a primary language subpopulation based on their reported ISO language code in TAF (English/missing, Spanish, and all other language codes) (Primary Language). Please refer to the full brief for additional context about the methodology and detailed findings. Future updates to this data set will include more recent data years as the TAF data become available.",
      "accessLevel": "public",
      "modified": "2025-01-17T04:48:55Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Medicaid",
        "Children's Health Insurance Program (CHIP)",
        "Mental Health Condition",
        "Behavioral Health",
        "Substance Use Disorder",
        "T-MSIS Analytic Files (TAF)",
        "Services"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mh-and-sud-services-2020-2022-01162025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/2cf00cfe-9041-422e-b5d2-ddb6295d7eaa",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Drug AMP Reporting - Quarterly",
      "identifier": "80956a7d-e343-54f3-94a7-45d41b34fc0b",
      "description": "Drugs that have been reported under the Medicaid Drug Rebate Program along with an indication of whether or not the required Average Manufacturer Price (AMP) was reported for each drug. All drugs are identified in the file by the 11-digit National Drug Code, product name, labeler name, and reported (R) or not reported (NR).",
      "accessLevel": "public",
      "issued": "2016-09-26T18:14:42Z",
      "modified": "2026-08-14T17:04:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Average Manufacturer Price (AMP)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/DrugAMPReportingQuarterly-2q2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/5b71cde4-43f2-4877-9059-5830079223e9",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Scorecard Example",
      "identifier": "8099abf0-ddac-552c-b539-fd623bd17ec2",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "modified": "2023-05-03T16:00:34Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "DataConnect Support Team",
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Scorecard Example CSV",
          "description": "Scorecard Example CSV updated at Wed, 03 May 2023 16:00:33 by WN7D",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/pillar.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Pricing Comparison for Blood Disorder Treatments (Pricing as of 6/1/2023)",
      "identifier": "8185fa9f-cf59-49a4-9d67-10cef09f9aa4",
      "description": "The Reference Document link for the downable Blood Disorder Treatment Spreadsheet can be accessed below under the Additional Information table under Related Documents.",
      "accessLevel": "public",
      "modified": "2023-07-05T16:30:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Drug Products"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/Clotting-Factor-Jun-2023.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2022-01-31 to 2022-02-06",
      "identifier": "818846a8-6cf4-48ef-b941-11de8b1de51a",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2022-02-08T10:49:07Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rpt-drugs-jan-01-31-2022-02-06-2022.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 20211004 to 20211010",
      "identifier": "819b3417-0f93-488d-974a-4f80c87eb48f",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2021-10-14T09:41:31Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rpt-drugs-oct-20211004-to-20211010.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "2004 Physician Fee Schedule Data",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2004.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "81b675bd-64c5-441e-9375-c21769704339",
      "keyword": [
        "2004",
        "indicators"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
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      "publisher": {
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        {
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        }
      ],
      "theme": [
        "Medicare"
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      "title": "Indicators for 2004",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
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      "description": "2026: The CY 2026 Medicare Physician Fee Schedule has been updated by the annual PFS Final Rule for various new policies and for new and existing CPT/HCPCS codes for this latest calendar year, which becomes effective starting January 1, 2026, with PFS conversion factor of $33.4009.",
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      "publisher": {
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      "theme": [
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      "keyword": [
        "localities",
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      ],
      "distribution": [
        {
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    {
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      "keyword": [
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      "contactPoint": {
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      "dataQuality": true,
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      "distribution": [
        {
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          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_TH_PRFL_SRCH_P06302026_06032026.csv",
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      "identifier": "8219fcb3-fb3d-4b51-9f65-be8a048c0608",
      "title": "Teaching Hospital profile information",
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      "inventoried": "2026-09-27"
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    {
      "@type": "Dataset",
      "identifier": "8235-5d73",
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          ],
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      "contactPoint": {
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      "description": "The Medicare Physician Fee Schedule update factor for 2018 is 0.5% and the conversion factor is 35.9996.",
      "distribution": [
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          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2018.csv",
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      "keyword": [
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      "modified": "2020-04-20",
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      "publisher": {
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          "startDate": "2018-01-01",
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        }
      ],
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      "title": "Localities for 2018",
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      "inventoried": "2026-09-27"
    },
    {
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      "contactPoint": {
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        "fn": "Medicaid.gov"
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      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
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      ],
      "keyword": [
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        "Utility"
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      "title": "Scorecard measure_value v3.9.8 (CMS Test)",
      "modified": "2025-11-25T20:30:27Z",
      "distribution": [],
      "identifier": "826aca92-46da-52ae-b8b9-bccd7f45a31f",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "8283-8a65",
      "title": "Registered Dietitian or Nutrition Professional Office Visit Costs",
      "description": "Returns registered dietitian or nutrition professional office visit costs per zip code for new and established patients.",
      "keyword": [
        "Registered Dietitian or Nutrition Professional"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/ddc631dc8189ff683bb405928b06b5f9_1722902767/Registered_Dietitian_or_Nutrition_Professional.csv",
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          "title": "Registered_Dietitian_or_Nutrition_Professional.csv"
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      ],
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        "title": "Registered Dietitian or Nutrition Professional Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/8283-8a65"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
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        "name": "Office of Communications (OC)",
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-12-25-to-2023-12-31",
      "identifier": "83216270-4c25-4d9a-a670-4d5da10ed78c",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
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      "modified": "2024-01-03T05:00:00Z",
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      },
      "contactPoint": {
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      },
      "keyword": [
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      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-12-25-to-2023-12-31",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-12-25-2023-to-12-31-2023.csv",
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2026 Dental SHOP",
      "identifier": "83f4f224-db32-4af9-913d-adc7b21f396b",
      "description": "The Dental SHOP Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
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      "modified": "2026-08-10T14:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
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        "SADP",
        "SHOP Market Dental",
        "QHP Landscape Instructions",
        "PY2026"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2026/den-shop-lndscp-in.pdf",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
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      ],
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
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        ]
      },
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        "fn": "DataConnect Support Team"
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      "theme": [
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      ],
      "keyword": [
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        "Utility",
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      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "tafVersion csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/tafVersion.csv",
          "description": "{\"dataset\": \"tafVersion\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
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      "inventoried": "2026-09-27"
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    {
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      "description": "Dataset.",
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      "modified": "2025-10-17T12:22:00Z",
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      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
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      "distribution": [
        {
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          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/2020-Table9_06132022_2_100825-10172025.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Medicaid and CHIP - IMP Map Staging",
      "identifier": "84922793-8c53-4e1a-8e4d-edf6d5e8bb3b",
      "description": "Monthly staging - do not delete",
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      "modified": "2026-09-25T16:00:00Z",
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
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        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/pi-dataset-september-2026-release.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Patient survey (HCAHPS) - State",
        "accessURL": "https://data.cms.gov/provider-data/dataset/84jm-wiui"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "CAHPS",
        "Patient Survey",
        "Patient Experience of Care",
        "Survey",
        "State"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "84jm-wiui",
      "description": "A list of the state averages for the HCAHPS survey responses. HCAHPS is a national, standardized survey of hospital patients about their experiences during a recent inpatient hospital stay.",
      "title": "Patient survey (HCAHPS) - State",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/e4ca53701c73500a3188874f2bbd2854_1785189951/HCAHPS-State.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 20210830 to 20210905",
      "identifier": "85272998-7ec9-4bd9-87ef-8c75156436ac",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2021-10-13T07:42:45Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rpt-drugs-sept-20210830-to-20210905.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "8634-f6a7",
      "title": "Podiatry Office Visit Costs",
      "description": "Returns podiatry office visit costs per zip code for new and established patients.",
      "keyword": [
        "Podiatry"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/4b1c09db009da09790e2136b34c23392_1722902762/Podiatry.csv",
          "mediaType": "text/csv",
          "title": "Podiatry.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Podiatry Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/8634-f6a7"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "Payment files reflect a change in the conversion factor as a result of the Preservation of Access to Care for Medicare Beneficiaries and Pension Relief Act of 2010, which President Obama signed into law on June 25, 2010. This legislation provides for a 2.2 percent update to the 2010 Medicare Physician Fee Schedule (MPFS), effective for dates of service June 1, 2010, through November 30, 2010. For 2010A: Payment files reflect changes as a result of practice expense (PE) and malpractice (MP) relative value unit (RVU) corrections and provisions of the Patient Protection and Affordable Care Act (the Affordable Care Act), as modified by the Health Care and Education Reconciliation Act of 2010, which President Obama signed into law on March 23, 2010, and March 30, 2010, respectively.",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators210a.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "86d5d860-2b95-4557-8325-39cb604c0c52",
      "keyword": [
        "2010A",
        "indicators"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-06-30T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Indicators for 2010A",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "86e1-d1d1",
      "title": "Maxillofacial Surgery Office Visit Costs",
      "description": "Returns maxillofacial surgery office visit costs per zip code for new and established patients.",
      "keyword": [
        "Maxillofacial Surgery"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/ecdd7ff7cd20fb0508f959ebeb3e77c8_1722902741/Maxillofacial_Surgery.csv",
          "mediaType": "text/csv",
          "title": "Maxillofacial_Surgery.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Maxillofacial Surgery Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/86e1-d1d1"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Benefits and Cost Sharing PUF - PY2021",
      "identifier": "86mw-kems",
      "description": "The Benefits and Cost Sharing PUF (BenCS-PUF) is one of the files that make up the Marketplace PUF. The BenCS-PUF contains plan-level data on essential health benefits, coverage limits, and cost sharing for each QHP and SADP. These data either originate from the Plans &amp; Benefits template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2020-10-09T15:52:51Z",
      "modified": "2021-08-11T12:55:43Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andy Elkins",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/benefits-and-cost-sharing-puf-2021.86mw-kems.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/185f6fff-e7c4-443b-bdaf-285a8d308af8",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "8753-38d1",
      "title": "Osteopathic Manipulative Medicine Office Visit Costs",
      "description": "Returns osteopathic manipulative medicine office visit costs per zip code for new and established patients.",
      "keyword": [
        "Osteopathic Manipulative Medicine"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/1e06a31bf08987eb29e0e5180a75cf30_1722902753/Osteopathic_Manipulative_Medicine.csv",
          "mediaType": "text/csv",
          "title": "Osteopathic_Manipulative_Medicine.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Osteopathic Manipulative Medicine Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/8753-38d1"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2025"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2025 payments grouped by reporting entities and nature of payments",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_AMGPO_BY_NTR_OF_PYMT_PGYR2025_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "8798d245-2096-4fbf-b73e-78d689ed0c01",
      "title": "2025 payments grouped by reporting entities and nature of payments",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2025-01-01",
          "endDate": "2025-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Pricing Comparison for Blood Disorder Treatments (Pricing as of 12/1/2023)",
      "identifier": "8865d8e5-85fe-44f2-832d-2d6b984c312b",
      "description": "The Reference Document link for the downable Blood Disorder Treatment Spreadsheet can be accessed below under the Additional Information table under Related Documents.",
      "accessLevel": "public",
      "modified": "2023-12-29T14:36:41Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Drug Products"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/Clotting-Factor-Dec2023.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2024"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2024 payments grouped by covered recipient and nature of payments",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_CR_BY_NTR_OF_PYMT_PGYR2024_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "88822473-9093-46fc-ad38-81330eb8de4b",
      "title": "2024 payments grouped by covered recipient and nature of payments",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2024-01-01",
          "endDate": "2024-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "88eg-qzed",
      "title": "CDC STATE System E-Cigarette Legislation - Preemption Summary",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation  –  Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to summary state preemption of more stringent or differing local laws on smokefree indoor air, youth access and licensure that are applicable to e-cigarettes.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-01",
      "issued": "2019-09-27",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Legislation"
        }
      ],
      "keyword": [
        "policy",
        "preemption",
        "tobacco",
        "state system",
        "osh",
        "legislation",
        "e-cigarette"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC STATE System E-Cigarette Legislation - Preemption Summary",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation – Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to summary state preemption of more stringent or differing local laws on smokefree indoor air, youth access and licensure that are applicable to e-cigarettes.",
          "accessURL": "https://data.cdc.gov/d/88eg-qzed",
          "downloadURL": "https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Preemptio/88eg-qzed/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-04-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/88eg-qzed",
            "title": "CDC STATE System E-Cigarette Legislation - Preemption Summary"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-07-03-to-2023-07-09",
      "identifier": "89360ee9-e669-40e2-bed5-979596c43e0b",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-10-17T04:07:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-07-03-to-2023-07-09",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-07-03-2023-to-07-09-2023-10172025.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "all years"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "Payments grouped by physician (distinct) for all years",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_PHYSN_NON_PHYSN_PRCTNR_SMRY_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "895260f5-1ce9-4e7d-9cb2-90564322eed2",
      "title": "Payments grouped by physician (distinct) for all years",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-01",
          "endDate": "2023-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Managed Care Information for Medicaid and CHIP Beneficiaries by Month",
      "identifier": "89baf100-259b-4763-b9e2-337972f988c4",
      "description": "This data set includes monthly enrollment counts of Medicaid and CHIP beneficiaries by managed care participation (comprehensive managed care, primary care case management, MLTSS, including PACE, behavioral health organizations, nonmedical prepaid health plans, medical-only prepaid health plans, and other).\n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating these measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable or of high concern based on DQ Atlas thresholds for the topics Enrollment in CMC, Enrollment in PCCM Programs, and Enrollment in BHO Plans. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2025-10-20T13:11:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Managed Care",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Managed Care Information for Medicaid and CHIP Beneficiaries by Month",
          "description": "This data set includes monthly enrollment counts of Medicaid and CHIP beneficiaries by managed care participation (comprehensive managed care, primary care case management, MLTSS, including PACE, behavioral health organizations, nonmedical prepaid health plans, medical-only prepaid health plans, and other).\r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating these measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable or of high concern based on DQ Atlas thresholds for the topics Enrollment in CMC, Enrollment in PCCM Programs, and Enrollment in BHO Plans. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. \r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/ManagedCare-montly-102025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/75ffd9ed-1e27-44c0-ad49-ea39648dff02",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2008",
      "identifier": "89de7fb8-b9ef-52fb-badc-ffc1128a9ada",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T13:10:50Z",
      "modified": "2026-04-03T15:37:01Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2008.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan Attributes PUF - PY2023",
      "identifier": "8a1786d6-e3cc-43be-bcfa-10e98f514ba4",
      "description": "The Plan Attributes PUF (Plan-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The Plan-PUF contains plan variant-level data on maximum out of pocket payments, deductibles, health savings account (HSA) eligibility, and other plan attributes.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2023-08-09T04:00:00Z",
      "modified": "2023-08-16T04:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Plan Attributes",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2023"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2023/plan_attributes_puf.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/237ee5ee-34cb-485a-9bfc-d2c7006c4ef9",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet measure v3.1.24 (feature-dev)",
      "identifier": "8a2dbcff-101c-5321-b91d-0e7c48008e32",
      "modified": "2025-04-23T12:05:47Z",
      "distribution": [
        {
          "title": "CoreSet measure v3.1.24 (feature-dev)",
          "description": "CoreSet measure v3.1.24 (feature-dev)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.1.24/20250415/measure.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSEt measure_value v2.10.6 (coreset-etl-test)",
      "modified": "2024-10-24T18:10:19Z",
      "distribution": [
        {
          "title": "CoreSEt measure_value v2.10.6 (coreset-etl-test)",
          "description": "CoreSEt measure_value v2.10.6 (coreset-etl-test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.6/20241023/measure_value.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "8a655f73-c702-571c-9bb0-f100c4323e5d",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "ONC Budget Performance Measure Data",
      "description": "The dataset contains all the current and historical performance measures submitted as part of ONC;s annual budget formulation process. These measures track agency priorities for electronic health record adoption, health information exchange, patient engagement, and privacy and security. Each measure contains the annual estimate and a measure target, if applicable, for all the years the measure was reported in the ONC Budget.",
      "identifier": "8a9m6fom-b3x8-fk2t-sho0-d9sqcf25xomk",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "ONC Budget Performance Measure Data landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/onc-budget-performance-measure-data"
      },
      "modified": "2015-09-30",
      "accrualPeriodicity": "annually",
      "keyword": [
        "health information technology",
        "health IT",
        "performance measure",
        "budget formulation",
        "EHR",
        "adoption",
        "patient engagement",
        "patient access",
        "view download transmit"
      ],
      "relation": [
        "https://www.healthit.gov/data/apps/onc-budget-performance-measures"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2022 Medical SHOP",
      "identifier": "8ada60fc-9bf0-4034-912e-de57e0624ecb",
      "description": "The Medical SHOP Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2022-08-10T12:00:00Z",
      "modified": "2022-08-17T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "QHP Landscape",
        "SHOP Market Medical",
        "SHOP",
        "QHP",
        "PY2022"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "zip",
          "downloadURL": "https://data.healthcare.gov/datafile/py2022/shop_market_medical.zip"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 04-13-2026 to 04-19-2026",
      "identifier": "8bb4dfce-2efa-4821-befc-d437500b520d",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2026-04-20T19:53:49Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-04-13-2026-to-04-19-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Service Area PUF – PY2023",
      "identifier": "8c491ff0-8e6e-4988-b02a-e4736783aed3",
      "description": "The Service Area PUF (SA-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The SA-PUF contains issuer-level data on geographic service areas including state, county, and zip code.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2023-08-09T04:00:00Z",
      "modified": "2023-08-16T04:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Service Area",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2023"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2023/service_area_puf.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/cf346473-7a74-4ca7-a6cb-32c0bd943e89",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "8c6b-fe40",
      "title": "Oral Surgery (Dentist only) Office Visit Costs",
      "description": "Returns oral surgery (dentist only) office visit costs per zip code for new and established patients.",
      "keyword": [
        "Oral Surgery (Dentist only)"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/0a2144c51d4f79043bf38585f0b4af1c_1722902752/Oral_Surgery_Dentist_only.csv",
          "mediaType": "text/csv",
          "title": "Oral_Surgery_Dentist_only.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Oral Surgery (Dentist only) Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/8c6b-fe40"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "PY 2024 Group Public Reporting: Patient Experience",
        "accessURL": "https://data.cms.gov/provider-data/dataset/8c70-d353"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-08-17",
      "@type": "Dataset",
      "modified": "2026-08-18",
      "released": "2026-09-10",
      "keyword": [
        "Patient Experience of Care",
        "CAHPS",
        "Performance",
        "MIPS",
        "Quality Payment Program"
      ],
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:QPP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "8c70-d353",
      "description": "This file contains information for the Consumer Assessment of Healthcare Providers and Systems (CAHPS) for MIPS measures submitted by groups.",
      "title": "PY 2024 Group Public Reporting: Patient Experience",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/a30d8962d09f56123c4d07481444c965_1787091344/grp_public_reporting_cahps.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/physician/DOC_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Doctors and clinicians"
      ],
      "archiveExclude": false,
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet measure_value v3.1.24 (feature-dev)",
      "identifier": "8c750b58-adf8-560d-976e-8b1b3778b83b",
      "modified": "2025-04-23T12:05:47Z",
      "distribution": [
        {
          "title": "CoreSet measure_value v3.1.24 (feature-dev)",
          "description": "CoreSet measure_value v3.1.24 (feature-dev)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.1.24/20250415/measure_value.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "8c8a-b911",
      "title": "Neurology Office Visit Costs",
      "description": "Returns neurology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Neurology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/c98e12cf0e3da619eea0c351397aa5df_1722902745/Neurology.csv",
          "mediaType": "text/csv",
          "title": "Neurology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Neurology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/8c8a-b911"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "The CY 2013 PFS final rule with comment period was placed on display at the Federal Register on November 1, 2012. It was published in the Federal Register on November 16, 2012. The final rule addresses changes to the physician fee schedule, payments for Part B drugs, and other Medicare Part B payment policies to ensure that our payment systems are updated to reflect changes in medical practice and the relative value of services. It also implements provisions of the Affordable Care Act by establishing a face-to-face encounter as a condition of payment for certain durable medical equipment (DME) items. Effective January 1, 2013, the CY 2013 Medicare Physician Fee Schedule (MPFS) Conversion Factor is $34.0230, which reflects 2013 calendar year zero percent update, with the non-budget neutral GPCI 1.0 work floor extenders, as directed by section 601(a) of the American Taxpayer Relief Act of 2012 (passed by Congress on January 1, 2013).",
      "distribution": [
        {
          "title": "Localities table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2013.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "8ccc2ef7-5190-4900-aa2e-af1d434d98df",
      "keyword": [
        "2013",
        "localities"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2013",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 NV Individual Dental",
      "identifier": "8cf7-qrv6",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T17:47:26Z",
      "modified": "2015-11-24T01:34:32Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2016_NV-Dent-Indi-Land-11-19-2015.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "all years"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "Payments grouped by covered recipient and nature of payments for all years",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_CR_BY_NTR_OF_PYMT_PGYRall_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "8d4d1fa0-9419-4993-97ff-9134c95c27a9",
      "title": "Payments grouped by covered recipient and nature of payments for all years",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-01",
          "endDate": "2023-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2015 OR Individual Dental",
      "identifier": "8dcm-4bzw",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-04-14T20:37:52Z",
      "modified": "2015-08-20T01:15:01Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "jrsmith",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_OR-Dent-Indi-Land-08-03-2015.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Pregnancy Outcomes for Medicaid and CHIP Beneficiaries ages 15 to 44",
      "identifier": "8dd46b48-f004-4245-a51d-a8d864ea586f",
      "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of pregnancy outcomes, including (1) live births and (2) miscarriages, stillbirths, and terminations, for female Medicaid and CHIP beneficiaries ages 15 to 44 (as of the first day of the month), by state. \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating pregnancy measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T15:03:12Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Pregnancy",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Pregnancy Outcomes for Medicaid and CHIP Beneficiaries ages 15 to 44",
          "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of pregnancy outcomes, including (1) live births and (2) miscarriages, stillbirths, and terminations, for female Medicaid and CHIP beneficiaries ages 15 to 44 (as of the first day of the month), by state. \r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating pregnancy measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/Pregnancy-Outcomes-for-MedicaidCHIP-Beneficiaries-ages-15-to-44.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NADAC (National Average Drug Acquisition Cost) 2018",
      "identifier": "8de1b213-73c5-552b-b84e-ac795f34d056",
      "description": "National Average Drug Acquisition Cost (NADAC) weekly reference data for the calendar year.",
      "accessLevel": "public",
      "issued": "2014-11-07T15:54:00Z",
      "modified": "2021-08-23T17:58:04Z",
      "license": "https://www.usa.gov/government-works",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2018-01-01",
          "endDate": "2019-01-01"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "National Average Drug Acquisition Cost (NADAC)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/nadac-national-average-drug-acquisition-cost.a4y5-998d.8de1b213-73c5-552b-b84e-ac795f34d056.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/de58d5ec-4515-494e-ae3f-620200f72989",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2016 Individual Medical",
      "identifier": "8dmy-3x2v",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T16:57:37Z",
      "modified": "2016-11-18T16:52:26Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2016_Med-Indi-Land-07-29-2016.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 20210823 to 20210829",
      "identifier": "8e1e1e96-629d-4854-9816-b4e32dd8d16c",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2021-10-13T07:42:30Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rpt-drugs-aug-20210823-to-20210829.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Managed Care Enrollment by Program and Population (Duals)",
      "identifier": "8e7be65b-97ba-5ecf-8394-ca8e6f63685a",
      "description": "2024  Enrollment Data by Program and Population (Dually Eligible Individuals)\n\nThe Enrollment Data by Program and Population (Dually Eligible Individuals) table (Table 3 in the Enrollment Report) shows each state and territory’s number of dually eligible individuals in the total population, and the number of dually eligible individuals enrolled each managed care program type - Comprehensive Managed Care Organization (MCO), Primary Care Case Manager (PCCM), Primary Care Case Management Entity (PCCM Entity), Managed Long-Term Services and Supports (MLTSS), Behavioral Health Organization (BHO), Dental, Non-Emergency Medical Transportation (NEMT), Program of All-Inclusive Care for the Elderly (PACE), and Other.\n \n1.\tThe “Total Dually Eligible Individuals” column represents an unduplicated count of all enrollees in FFS and any type of managed care, including enrollees receiving full Medicaid benefits or Medicaid cost sharing.\n2.\tStates are asked to abstain from reporting Financial Alignment Initiatives (FAI) in their enrollment data submissions. However, in 2024, New York reported a FAI program called Fully Integrated Duals Advantage for Individuals with Intellectual and Developmental Disabilities (FIDA-IDD). \n3.\tTennessee’s 2024 data submission indicated they were unable to provide an unduplicated count of enrollees in comprehensive MCO programs. Therefore, Table 3 does not include Tennessee’s dually eligible enrollees enrolled in managed care by program type.\n4.\tWashington reported a number for total dually eligible individuals in “BHO (PIHP and/or PAHP)” that was greater than “Total Dually Eligible Individuals” but did not provide an explanation for why this number was greater.\n\nNotes: “--” indicates the state or territory does not operate a specific program type or does not have a managed care program; this value could not be collected for FFS states and territories. “0” indicates that a state operated a program of this type in 2024 but reported 0 dually eligible individuals enrolled as of July 1, 2024. “***” indicates the state operated a program of this type in 2024 but was unable to provide an unduplicated count of enrollees for at least one of their managed care programs.\n\nBecause dually eligible individuals may be concurrently enrolled in more than one type of managed care program (e.g., a comprehensive MCO and a BHO), users should not sum enrollment across all program types, since the total would count individuals more than once and, in some states, exceed the actual number of Medicaid enrollees.\n\n2023  Enrollment Data by Program and Population (Dually Eligible Individuals)\n\nThe Enrollment Data by Program and Population (Dually Eligible Individuals) table (Table 3 in the Enrollment Report) displays each state and territory’s number of dually eligible individuals in the total population, and the number of dually eligible individuals enrolled each managed care program type - Comprehensive Managed Care Organization (MCO), Primary Care Case Manager (PCCM), Primary Care Case Management Entity (PCCM Entity), Managed Long-Term Services and Supports (MLTSS), Behavioral Health Organization (BHO), Dental, Non-Emergency Medical Transportation (NEMT), Program of All-Inclusive Care for the Elderly (PACE), and Other.\n\n1.\tThe “Total Dually Eligible Individuals” column represents an unduplicated count of all enrollees in FFS and any type of managed care, including enrollees receiving full Medicaid benefits or Medicaid cost sharing.\n2.\tMinnesota reported a number for dually eligible individuals in “Comprehensive MCO (with or without MLTSS)” that was greater than “Total Dually Eligible Individuals” but did not provide an explanation for why this number was greater.\n3.\tIn 2023, New York reported a program called Fully Integrated Duals Advantage for Individuals with Intellectual and Developmental Disabilities (FIDA-IDD). This additional program combined with an increase in enrollment due to the Public Health Emergency, resulted in an increase from 2022 for total dually eligible individuals in “Comprehensive Managed Care (with or without MLTSS)”.\n4.\tTennessee’s 2023 data submission indicated they were unable to provide an unduplicated count of enrollees in comprehensive MCO programs. Therefore, Table 3 does not include Tennessee’s dually eligible enrollees enrolled in managed care by program type. \n5.\tWashington reported a number for total dually eligible individuals in “BHO (PIHP and/or PAHP)” that was greater than “Total Dually Eligible Individuals” but did not provide an explanation for why this number was greater.\n\nNotes: “--” indicates the state or territory does not operate a specific program type or does not have a managed care program; this value could not be collected for FFS states and territories. “0” indicates that a state operated a program of this type in 2023 but reported 0 dually eligible individuals enrolled as of July 1, 2023. “***” indicates the state operated a program of this type in 2023 but was unable to provide an unduplicated count of enrollees for at least one of their managed care programs.\n\nBecause dually eligible individuals may be concurrently enrolled in more than one type of managed care program (e.g., a comprehensive MCO and a BHO), users should not sum enrollment across all program types, since the total would count individuals more than once and, in some states, exceed the actual number of Medicaid enrollees. ",
      "accessLevel": "public",
      "issued": "2017-12-08T22:28:37Z",
      "modified": "2026-02-11T12:49:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Jeff Chamblee",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Managed Care Enrollment",
        "Medicare",
        "Behavioral Health Organization (BHO)",
        "Medicaid",
        "Prepaid Inpatient Health Plan (PIHP)",
        "Primary Care Case Manager (PCCM)",
        "Prepaid Ambulatory Health Plan (PAHP)",
        "Program of All-Inclusive Care for the Elderly (PACE)",
        "Managed Long-Term Services and Supports (MLTSS)",
        "Managed Care Organizations (MCO)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/managed-care-enrollment-by-program-and-population-duals-2024-table3.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2017 Managed Care Programs by State",
      "identifier": "8f39b637-9bb1-5894-9062-2c4f2ad70fba",
      "description": "Provides program names, program features, population enrolled, benefits covered, quality assurance and improvement, performance incentives, provider value-based purchasing, participating plans, regions served and program notes.",
      "accessLevel": "public",
      "issued": "2019-04-18T16:46:12Z",
      "modified": "2025-10-17T20:44:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Chris Vaughn",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/2017-managed-care-programs-by-state.hc9x-7kex101725.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2022-12-26-to-2023-01-01",
      "identifier": "8f4b03ea-7cbc-44ed-a8b3-9524bbc01491",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-02-07T12:33:01Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2022-12-26-to-2023-01-01",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-12262022-to-01012023_0.csv"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet version v3.9.119 (ETL Test)",
      "identifier": "8f705c5d-9b20-548a-bb44-849d2839aa91",
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    {
      "@type": "Dataset",
      "identifier": "8hxn-cvik",
      "title": "Nutrition, Physical Activity, and Obesity - National Immunization Survey (Breastfeeding)",
      "description": "This dataset includes breastfeeding data from the National Immunization Survey (NIS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about breastfeeding and NIS visit https://www.cdc.gov/breastfeeding/data/nis_data/index.htm.",
      "contactPoint": [
        {
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          "fn": "Nutrition, Physical Activity, and Obesity",
          "hasEmail": "mailto:dnpaoinfo@cdc.gov"
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      "modified": "2026-07-31",
      "issued": "2016-07-21",
      "theme": [
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          "prefLabel": "Physical Activity"
        },
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      "keyword": [
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      ],
      "spatial": [
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          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/DNPAO/index.html",
        "title": "Centers for Disease Control and Prevention (CDC), National Center for Chronic Disease Prevention and Health Promotion, Division of Nutrition, Physical Activity, and Obesity"
      },
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          "name": "Centers for Disease Control and Prevention (CDC)"
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      "describedBy": {
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        "accessURL": "https://www.cdc.gov/nccdphp/DNPAO/index.html",
        "title": "DNPAO Public Inquiries"
      },
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-National-I/8hxn-cvik/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-07-31",
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            "@type": "Document",
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              "restrictionStatus": "unrestricted"
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          "accessService": [
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2019 Individual Dental",
      "identifier": "8iqs-tvaj",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2018-10-24T19:58:38Z",
      "modified": "2019-08-09T14:14:16Z",
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        "@type": "Organization",
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      },
      "keyword": [
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      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/Den-Ind-Landscape.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Service Area PUF - PY2020",
      "identifier": "8kxw-8r6g",
      "description": "The Service Area PUF (SA-PUF) is one of the files that make up the Marketplace PUF. The SA-PUF contains issuer-level data on the geographic coverage or service area (i.e., where the plan is offered) including state, county, and zip code. These data either originate from the Service Area template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2019-10-22T11:46:04Z",
      "modified": "2020-10-23T15:17:53Z",
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        "subOrganizationOf": [
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Ashley Van Scyoc",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/service-area-puf-2020.8kxw-8r6g.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/cf346473-7a74-4ca7-a6cb-32c0bd943e89",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "8mrp-rmkw",
      "title": "Nutrition, Physical Activity, and Obesity - American Community Survey",
      "description": "This dataset includes select data from the U.S. Census Bureau's American Community Survey (ACS) on the percent of adults who bike or walk to work. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about ACS visit https://www.census.gov/programs-surveys/acs/.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Nutrition, Physical Activity, and Obesity",
          "hasEmail": "mailto:dnpaoinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Nutrition, Physical Activity, and Obesity (DNPAO)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-11-21",
      "issued": "2016-07-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Nutrition"
        },
        {
          "@type": "Concept",
          "prefLabel": "Physical Activity"
        },
        {
          "@type": "Concept",
          "prefLabel": "and Obesity"
        }
      ],
      "keyword": [
        "dnpao",
        "bike",
        "american community survey",
        "acs",
        "work",
        "walk",
        "physical activity"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/DNPAO/index.html",
        "title": "Centers for Disease Control and Prevention (CDC), National Center for Chronic Disease Prevention and Health Promotion, Division of Nutrition, Physical Activity, and Obesity"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
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      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/DNPAO/index.html",
        "title": "DNPAO Public Inquiries"
      },
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          "downloadURL": "https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-American-C/8mrp-rmkw/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-11-21",
          "describedBy": {
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              "restrictionStatus": "unrestricted"
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          "accessService": [
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              "title": "CDC Open Data API",
              "endpointURL": [
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                  "fn": "NCCDPHP Informatics",
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2021 SHOP Medical",
      "identifier": "8q2a-a5s7",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2020-10-21T19:33:17Z",
      "modified": "2021-08-11T19:21:13Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/Med-SHOP-Landscape.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "8zea-kwnt",
      "title": "CDC STATE System E-Cigarette Legislation - Youth Access",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislationâ€”Youth Access. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to restrictions, enforcement and penalties associated with the sale of e-cigarettes to youth through retail sales and vending machines.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-01",
      "issued": "2015-05-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Legislation"
        }
      ],
      "keyword": [
        "legislation",
        "e-cigarette",
        "osh",
        "policy",
        "state system",
        "youth access"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC STATE System E-Cigarette Legislation - Youth Access",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislationâ€”Youth Access. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to restrictions, enforcement and penalties associated with the sale of e-cigarettes to youth through retail sales and vending machines.",
          "accessURL": "https://data.cdc.gov/d/8zea-kwnt",
          "downloadURL": "https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Youth-Acc/8zea-kwnt/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-04-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/8zea-kwnt",
            "title": "CDC STATE System E-Cigarette Legislation - Youth Access"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "title": "implAuto_measure_compare",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-05T18:10:13Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_implAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_compare csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/measure_compare.csv",
          "description": "{\"dataset\": \"measure_compare\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "9001e41d-13c2-589d-b62f-1712298c8c35",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Scorecard pillar",
      "identifier": "90196fbe-8c6f-5260-9c9d-02b1b455cf0f",
      "description": "This is a dataset created for use by the Scorecard website, and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "modified": "2023-03-23T12:06:30Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "DataConnect Support Team",
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Beneficiaries who could benefit from integrated care, 2017-2021",
      "identifier": "905e5046-5351-44e4-b65b-204bf684805c",
      "description": "This table presents three populations of beneficiaries who could benefit from different levels of integrated care, 2017-2021: (1) beneficiaries who received services for a behavioral health (BH) condition; (2) beneficiaries who received services for a behavioral health condition who also received services for at least one of a number of select physical health (PH) conditions (a subset of population 1); and (3) beneficiaries prescribed medications for substance use disorders who do not have a medical claim for a behavioral health condition (a subset of population 1).\n\nSome states have serious data quality issues, making the data unusable for identifying this population. To assess data quality, analysts used measures featured in the DQ Atlas. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional, Gender, Age, Zip code, Race and ethnicity, Eligibility group code, Enrollment in CMC Plans. \n\nData from Maryland, Tennessee, and Utah are omitted for the tables due to data quality concerns. Maryland was excluded in 2017 due to unusable diagnosis codes in the IP file and the OT file. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2020. In addition, states with a high data quality concern on one or more measures are noted in the table in the \"Data Quality\" column. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. ",
      "accessLevel": "public",
      "modified": "2024-01-05T17:43:32Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Behavioral Health Care",
        "Integrated Care",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Beneficiaries who could benefit from integrated care, 2017-2021",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/benf-benft-frm-integr-care-2017-2021.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/baecdb3c-7512-456d-a58e-16c510995f90",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "2005 Physician Fee Schedule Data",
      "distribution": [
        {
          "title": "Localities table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2005.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "90717e51-5786-48ad-a62f-a971533bbb29",
      "keyword": [
        "2005",
        "localities"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2005-01-01",
          "endDate": "2005-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2005",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "implAuto_topicArea_measureDisplayGroups",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-05T18:10:13Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_implAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "topicArea_measureDisplayGroups csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/topicArea_measureDisplayGroups.csv",
          "description": "{\"dataset\": \"topicArea_measureDisplayGroups\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "90b4f584-cdf9-5d81-a106-f1781f8ba706",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "Physician Fee Schedule - March 2012 release. This file contains the revisions identified in the Middle Class Tax Relief and Job Creation Act of 2012 (MCTRJCA). Medicare payment rates under the Medicare Physician Fee Schedule (MPFS) are set according to statutory criteria. The following 2012 MPFS payment rates are reflective of the CY 2012 Medicare Physician Fee Schedule Final Rule, which was published in the Federal Register on November 28, 2011, and the CY 2012 Medicare Physician Fee Schedule Final Rule Correction Notice, which was published in the Federal Register on January 4, 2012. These payment rates are based on current law, including the Middle Class Tax Relief and Job Creation Act of 2012 (MCTRJCA), which provides for a zero percent update through December 31, 2012. The MCTRJCA extends several provisions of the Temporary Payroll Tax Cut Continuation Act of 2011 (TPTCCA). Please note that MCTRJCA does NOT extend add-on payments for mental health services and minimum payment for bone mass measurement (sections 307 and 309 of the TPTCCA, respectively). As such, effective March 1, 2012, the MPFS payment rates for these services have changed. 2012A: Medicare payment rates under the Medicare Physician Fee Schedule (MPFS) are set according to statutory criteria. The following 2012 MPFS payment rates are reflective of the CY 2012 Medicare Physician Fee Schedule Final Rule, which was published in the Federal Register on November 28, 2011, and the CY 2012 Medicare Physician Fee Schedule Final Rule Correction Notice that was put on display at the Office of the Federal Register on December 30, 2011. These payment rates are based on current law, including the Temporary Payroll Tax Cut Continuation Act of 2011, which provides for a zero percent update for the period of January 1, 2012 to February 29, 2012. The Centers for Medicare and Medicaid Services will work quickly to update MPFS payment rates in the event Congress passes legislation to prevent the negative update from going into effect on March 1, 2012. Please be on the alert for more information about the 2012 physician update as it becomes available. ",
      "distribution": [
        {
          "title": "Localities table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities212a.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "913c1889-d9dd-4a95-a8c6-85552968bad7",
      "keyword": [
        "2012A",
        "localities"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-01-01",
          "endDate": "2012-06-30T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2012A",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "914a-7700",
      "title": "Pathology Office Visit Costs",
      "description": "Returns pathology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Pathology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/64b5909bb6b7e46b6239c441b9cdb644_1722902756/Pathology.csv",
          "mediaType": "text/csv",
          "title": "Pathology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Pathology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/914a-7700"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2001",
      "identifier": "915e5174-0869-5c6d-a5bb-454cb31ef605",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T13:25:23Z",
      "modified": "2026-04-03T14:56:31Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2001.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Drug AMP Reporting - Monthly",
      "identifier": "91d4309d-3ca8-5a1e-8f78-79984027392d",
      "description": "Drugs that have been reported under the Medicaid Drug Rebate Program along with an indication of whether or not the required Average Manufacturer Price (AMP) was reported for each drug. All drugs are identified in the file by the 11-digit National Drug Code, product name, labeler name, and reported (R) or not reported (NR).",
      "accessLevel": "public",
      "issued": "2017-03-21T14:37:06Z",
      "modified": "2026-08-13T19:19:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Average Manufacturer Price (AMP)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/DrugAMPReportingMonthly062026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/80b0f27c-a91c-4392-b9a5-e5aa038fcc78",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 05-18-2026 to 05-24-2026",
      "identifier": "91f52654-d9cd-46f9-8393-c266e1fd2cba",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2026-05-26T20:45:13Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-05-18-2026-to-05-24-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Managed Care Features By Enrollment Population",
      "identifier": "927f4847-2c0a-50c1-8f50-9103de7d048b",
      "description": "2024 Managed Care Features by Enrollment Population\n\nThe Managed Care Features by Enrollment Population table (Table 7 in the Enrollment Report) lists the total number of managed care programs in the country by type (comprehensive managed care, PCCM, dental, etc.) and lists the number of managed care programs by type that mandatorily or voluntarily enroll each population type which includes duals, children with special health care needs, and American Indians/Alaska Natives (AI/AN) population.\n\n1.\tIn some cases, the sum of mandatory and voluntary enrollment populations for any given program type is greater than the total number of programs of that type. That is because a state may treat individuals within a specific group differently. For example, a state can mandate enrollment for aged adults, while allowing blind and disabled adults to enroll voluntarily.\n2.\tCertain federal statutory authorities do not allow enrollment of individuals who are AI/AN or children receiving Foster Care and Adoption Assistance (FC/AA). Where states use these authorities to operate Medicaid managed care, AI/AN individuals or children receiving FC/AA are considered \"exempt.\"\n\n2023 Managed Care Features by Enrollment Population\n\nThe Managed Care Features by Enrollment Population table (Table 7 in the Enrollment Report) lists the total number of managed care programs in the country by type (e.g., Comprehensive MCO, PCCM, Dental) and lists the number of managed care programs by type that mandatorily or voluntarily enroll each population type which includes duals, children with special health care needs, and American Indians/Alaska Natives (AI/AN) population.\n\n1.\tIn some cases, the sum of mandatory and voluntary enrollment populations for any given program type is greater than the total number of programs of that type. That is because a state may treat individuals within a specific group differently. For example, a state can mandate enrollment for aged adults, while allowing blind and disabled adults to enroll voluntarily.\n2.\tCertain federal statutory authorities do not allow enrollment of individuals who are AI/AN or children receiving Foster Care and Adoption Assistance (FC/AA). Where states use these authorities to operate Medicaid managed care, AI/AN individuals or children receiving FC/AA are considered \"exempt.\"",
      "accessLevel": "public",
      "issued": "2018-07-11T16:46:31Z",
      "modified": "2026-02-12T12:55:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/managed-care-features-by-enrollment-population.2024-table7.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSEt state v2.10.6 (coreset-etl-test)",
      "modified": "2024-10-24T18:56:07Z",
      "distribution": [
        {
          "title": "CoreSEt state v2.10.6 (coreset-etl-test)",
          "description": "CoreSEt state v2.10.6 (coreset-etl-test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.6/20241023/state.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "9285d2b8-866e-5760-ac92-c2628ac59e2e",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard filters v3.3.1 (prod)",
      "identifier": "92926a98-0f8c-5a43-9e83-d9239fb485a3",
      "modified": "2025-05-20T17:15:08Z",
      "distribution": [
        {
          "title": "Scorecard filters v3.3.1 (prod)",
          "description": "Scorecard filters v3.3.1 (prod)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.3.1/20250506/filters.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 20211101 to 20211107",
      "identifier": "92b5948f-b32b-404c-ad28-ea83de8a324e",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-10-17T15:52:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rpt-drugs-nov-20211101-to-20211107-101725.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "92bb-de79",
      "title": "Psychologist, Clinical Office Visit Costs",
      "description": "Returns psychologist, clinical office visit costs per zip code for new and established patients.",
      "keyword": [
        "Psychologist, Clinical"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/9dc4f5d32f76a0197c9ad8f1a243702a_1722902764/Psychologist_Clinical.csv",
          "mediaType": "text/csv",
          "title": "Psychologist_Clinical.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Psychologist, Clinical Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/92bb-de79"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "For January 1, 2015 through March 31, 2015, the PFS update was set at 0.0 percent by the Protecting Access to Medicare Act. After applying the budget neutrality adjustment of 0.9981, the conversion factor for January 1, 2015, through March 31, 2015 is $35.7547. Under the provisions of current law regarding the SGR, the conversion factor will change to $28.1872 on April 1, 2015 in the absence of Congressional action. In addition, the geographic practice cost index work floor of 1.0 expires on March 31, 2015 in the absence of legislative action.",
      "distribution": [
        {
          "title": "Localities table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities215b.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "92d60917-ef5e-4d4f-b31a-0ce4399036a4",
      "keyword": [
        "2015B",
        "localities"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-07-01",
          "endDate": "2015-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2015B",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "92ri-yjps",
      "title": "2020 Final Assisted Reproductive Technology (ART) Services and Profiles",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinicâ€™s contact information, location, the medical directorâ€™s name, and summary statistics.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National ART Surveillance System",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-06-23",
      "issued": "2023-06-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Assisted Reproductive Technology (ART)"
        }
      ],
      "keyword": [
        "assisted reproductive technology",
        "success rates",
        "services",
        "infertility",
        "fertility",
        "clinic",
        "art"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Reproductive Health (DRH)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "ARTINFO"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2020 Final Assisted Reproductive Technology (ART) Services and Profiles",
          "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinic's contact information, location, the medical director's name, and summary statistics.",
          "accessURL": "https://data.cdc.gov/d/92ri-yjps",
          "downloadURL": "https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2020-Final-Assisted-Reproductive-Technology-ART-Se/92ri-yjps/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-06-23",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/92ri-yjps",
            "title": "2020 Final Assisted Reproductive Technology (ART) Services and Profiles"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Final Assisted Reproductive Technology (ART) Services and Profiles Series",
          "description": "The Services and Profiles dataset series provides an overview of clinic services, the clinic's contact information, location, the medical director's name, and summary statistics."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt filters v2.10.22 (coreset-impl)",
      "identifier": "933971be-11d4-50e3-bcb0-38388796ac24",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-15T00:26:11Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt filters v2.10.22 (coreset-impl)",
          "description": "CoreSEt filters v2.10.22 (coreset-impl)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/2.10.22/20241029/filters.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "featAuto_measure_compare",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-09-25T14:18:32Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_featAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_compare csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20250924_ETL_DEV/measure_compare.csv",
          "description": "{\"dataset\": \"measure_compare\", \"stage\": \"featAuto\", \"update_id\": \"20250924_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "935a5667-0da1-56a5-8a7a-e5e4135abd06",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Dual Status Information for Medicaid and CHIP Beneficiaries by Year",
      "identifier": "93b36a8e-4dd5-4ff4-9a8b-8c6537684705",
      "description": "This data set presents annual enrollment counts of Medicaid and CHIP beneficiaries by dual eligibility status for Medicaid and Medicare (full dual eligibility, partial dual eligibility, or not dually eligible). There are three metrics presented: (1) the number of beneficiaries ever dually eligible for Medicaid and Medicare over the year (duplicated count); (2) the number of beneficiaries dually eligible for Medicaid and Medicare as of an individual’s last month of enrollment (unduplicated count); and (3) average monthly eligibility for Medicaid and Medicare. \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating these measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable or of high concern based on DQ Atlas thresholds for the topic Dually Enrolled in Medicare. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T16:54:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Dual Enrollment",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Dual Status Information for Medicaid and CHIP Beneficiaries by Year",
          "description": "This data set presents annual enrollment counts of Medicaid and CHIP beneficiaries by dual eligibility status for Medicaid and Medicare (full dual eligibility, partial dual eligibility, or not dually eligible). There are three metrics presented: (1) the number of beneficiaries ever dually eligible for Medicaid and Medicare over the year (duplicated count); (2) the number of beneficiaries dually eligible for Medicaid and Medicare as of an individual’s last month of enrollment (unduplicated count); and (3) average monthly eligibility for Medicaid and Medicare. \r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating these measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable or of high concern based on DQ Atlas thresholds for the topic Dually Enrolled in Medicare. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. \r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/DualStatus-anul.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/4add7d55-b5ff-4630-afd7-6aaa83af2c50",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-06-19-to-2023-06-25",
      "identifier": "93c14523-3acb-4253-a9e0-98b0bd201541",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-06-26T19:09:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
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          "description": " ",
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          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-6192023-to-6252023.csv",
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    },
    {
      "@type": "Dataset",
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      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
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      ],
      "distribution": [
        {
          "@type": "Distribution",
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          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2016_Dent-Indi-Land-07-29-2016.pdf"
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      ],
      "keyword": [
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        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
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      "title": "Scorecard state v3.9.137 (CMS Development)",
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      "distribution": [
        {
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    {
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      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
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      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet measure_value v3.3.5 (imp)",
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        {
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      "inventoried": "2026-09-27"
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    {
      "@type": "Dataset",
      "identifier": "94f7-ab53",
      "title": "Clinical Cardiac Electrophysiology Office Visit Costs",
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        "fn": "PPL Dataset",
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    {
      "@type": "Dataset",
      "title": "Localities for 2024A",
      "identifier": "9543f83d-06b6-4c5b-8cca-daa2c194ef7f",
      "description": "The CY 2024 Medicare Physician Fee Schedule has been updated by the annual PFS Final Rule for various new policies and for new and existing CPT/HCPCS codes.  For January 1, 2024, through March 8, 2024, the PFS conversion factor is $32.7442.  For March 9, 2024, through December 31, 2024, the CY 2024 Medicare Physician Fee Schedule has been updated by new legislation that revises the PFS conversion factor to $33.2875.",
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      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
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      "keyword": [
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      "distribution": [
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          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2024A.csv"
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
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    {
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 07-27-2026 to 08-02-2026",
      "identifier": "95686929-a6a1-4d05-815a-bb6e3c003f32",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
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    {
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        "Exchange PUF",
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        "Utility"
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    {
      "@type": "Dataset",
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      "bureauCode": [
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      "contactPoint": {
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      "description": "A list of zip codes where hospice provides services.",
      "distribution": [
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/1c6d141e949665ed9fed8069cfd443e7_1787069139/Hospice_Zip_Aug2026_2.csv",
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            "title": "data.cms.gov"
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        }
      ],
      "identifier": "95rg-2usp",
      "issued": "2026-08-07",
      "keyword": [
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        "Quality Reporting Program"
      ],
      "landingPage": {
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        "title": "Hospice - Zip Data",
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      },
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        ]
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      "released": "2026-08-26",
      "theme": [
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      ],
      "title": "Hospice - Zip Data",
      "accessRights": "public",
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    },
    {
      "accessLevel": "public",
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      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "2001 Physician Fee Schedule Data",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2001.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "96303ae2-e31a-445a-aa3f-0904131015c4",
      "keyword": [
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        "indicators"
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      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
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      ],
      "publisher": {
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      },
      "temporal": [
        {
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          "startDate": "2001-01-01",
          "endDate": "2001-12-31T11:59:59Z"
        }
      ],
      "theme": [
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      ],
      "title": "Indicators for 2001",
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      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_states",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
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        "fn": "DataConnect Support Team"
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      "theme": [
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        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
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          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20260120_e2e_ETL_DEV/states.csv",
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      "inventoried": "2026-09-27"
    },
    {
      "title": "implAuto_measure_compare_download",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
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        "fn": "DataConnect Support Team"
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      "theme": [
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      ],
      "keyword": [
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        "Utility",
        "dqatlas_implAuto"
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      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
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      "distribution": [
        {
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          "description": "{\"dataset\": \"measure_compare_download\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
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      ],
      "identifier": "9701e19c-7e6f-51f4-95cd-4ce1d568e93f",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "9735-7176",
      "title": "Internal Medicine Office Visit Costs",
      "description": "Returns internal medicine office visit costs per zip code for new and established patients.",
      "keyword": [
        "Internal Medicine"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/7503fbb67cc6ded55f58c46c0f2a40d1_1722902737/Internal_Medicine.csv",
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          "title": "Internal_Medicine.csv"
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      ],
      "landingPage": {
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        "title": "Internal Medicine Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/9735-7176"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
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        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_measure_concernLevel",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
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      ],
      "bureauCode": [
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      "publisher": {
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        "name": "Office of Communications (OC)",
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          {
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
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        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2026-02-02T20:37:24Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_concernLevel csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20260120_e2e_ETL_DEV/measure_concernLevel.csv",
          "description": "{\"dataset\": \"measure_concernLevel\", \"stage\": \"devAuto\", \"update_id\": \"20260120_e2e_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "97ad1e5c-235e-5fcb-b7f0-be14d8d5c804",
      "@type": "Dataset",
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      "inventoried": "2026-09-27"
    },
    {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
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      },
      "programCode": [
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      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
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      "title": "Scorecard pillar v3.1.16 (feature-dev)",
      "identifier": "97bbc293-2708-5317-abed-e8cb3a591367",
      "modified": "2025-04-16T10:09:05Z",
      "distribution": [
        {
          "title": "Scorecard pillar v3.1.16 (feature-dev)",
          "description": "Scorecard pillar v3.1.16 (feature-dev)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.1.16/20250210/pillar.csv",
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      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Rural Emergency Hospital Timely and Effective Care - Hospital",
        "accessURL": "https://data.cms.gov/provider-data/dataset/97xg-v3wv"
      },
      "bureauCode": [
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      ],
      "issued": "2025-10-14",
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      "contactPoint": {
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      },
      "publisher": {
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        "name": "Office of Communications (OC)",
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          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "97xg-v3wv",
      "description": "This data set includes provider-level data for timely and effective care (process of care) quality measures included under the Rural Emergency Hospital Quality Reporting (REHQR) Program.",
      "title": "Rural Emergency Hospital Timely and Effective Care - Hospital",
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            "title": "data.cms.gov"
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        }
      ],
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      ],
      "accessRights": "public",
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    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "Home Health QRP Help Desk",
        "hasEmail": "mailto:HomeHealthQualityQuestions@cms.hhs.gov"
      },
      "description": "The national averages for critical quality measures of Home Health Agencies.",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/2c13f782423d120de4533fff7266e02c_1782764088/HH_National_Jul2026.csv",
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            "title": "data.cms.gov"
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      ],
      "identifier": "97z8-de96",
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      "keyword": [
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        "Quality",
        "Ratings",
        "Comparison",
        "State",
        "Average",
        "Quality",
        "Measures",
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        "title": "Home Health Care - National Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/97z8-de96"
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      "modified": "2026-05-27",
      "programCode": [
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      "released": "2026-07-15",
      "nextUpdateDate": "2026-10-21",
      "theme": [
        "Home health services"
      ],
      "title": "Home Health Care - National Data",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "9873-722a",
      "title": "Certified Nurse Midwife Office Visit Costs",
      "description": "Returns certified nurse midwife office visit costs per zip code for new and established patients.",
      "keyword": [
        "Certified Nurse Midwife"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
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          "mediaType": "text/csv",
          "title": "Certified_Nurse_Midwife.csv"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Certified Nurse Midwife Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/9873-722a"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "98d4-0871",
      "title": "Clinic or Group Practice Office Visit Costs",
      "description": "Returns clinic or group practice office visit costs per zip code for new and established patients.",
      "keyword": [
        "Clinic or Group Practice"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/473f702e3bdcf3136e20157ea8561853_1722902717/Clinic_or_Group_Practice.csv",
          "mediaType": "text/csv",
          "title": "Clinic_or_Group_Practice.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Clinic or Group Practice Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/98d4-0871"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt measure v2.10.14 (coreset-dev)",
      "identifier": "98ff950b-2dc6-592e-bbc2-56be79cb2841",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
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      "modified": "2024-11-06T01:26:28Z",
      "publisher": {
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      },
      "contactPoint": {
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        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
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      "keyword": [
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        "Utility"
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          "description": "CoreSEt measure v2.10.14 (coreset-dev)",
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          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.14/20241029/measure.csv"
        }
      ],
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      ],
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      ],
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "prodAuto_measure_backgroundAndMethods",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
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      },
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      },
      "modified": "2025-11-13T13:41:41Z",
      "theme": [
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      ],
      "keyword": [
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        "Utility",
        "dqatlas_prodAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_backgroundAndMethods csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/measure_backgroundAndMethods.csv",
          "description": "{\"dataset\": \"measure_backgroundAndMethods\", \"stage\": \"prodAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
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      ],
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      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2012",
      "identifier": "992936b2-2a72-5df6-a734-a56a8631b87a",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
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      "issued": "2015-06-11T12:33:26Z",
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      "publisher": {
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
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        ]
      },
      "contactPoint": {
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        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
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      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2012.csv",
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            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
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      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NADAC (National Average Drug Acquisition Cost) 2024",
      "identifier": "99315a95-37ac-4eee-946a-3c523b4c481e",
      "description": "National Average Drug Acquisition Cost (NADAC) weekly reference data for the calendar year.",
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        ]
      },
      "contactPoint": {
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        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
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      ],
      "keyword": [
        "National Average Drug Acquisition Cost (NADAC)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/nadac-national-average-drug-acquisition-cost-12-25-2024.csv",
          "describedBy": {
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            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/de58d5ec-4515-494e-ae3f-620200f72989",
            "title": "data.medicaid.gov"
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      ],
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      ],
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "993f-4504",
      "title": "Undersea and Hyperbaric Medicine Office Visit Costs",
      "description": "Returns undersea and hyperbaric medicine office visit costs per zip code for new and established patients.",
      "keyword": [
        "Undersea and Hyperbaric Medicine"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/7542bfe3478c2a4d74ae290856a00a57_1722902773/Undersea_and_Hyperbaric_Medicine.csv",
          "mediaType": "text/csv",
          "title": "Undersea_and_Hyperbaric_Medicine.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Undersea and Hyperbaric Medicine Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/993f-4504"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
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        ]
      },
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2024-01-29-to-2024-02-04",
      "identifier": "9951c048-36b7-4c93-aa4f-e34546836e2e",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2024-02-07T14:43:13Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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        "name": "Office of Communications (OC)",
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          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
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      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2024-01-29-to-2024-02-04",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-01-29-2024-to-02-04-2024.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "prodAuto_measure_allStates_download",
      "identifier": "99a60727-dc56-5dc2-a72c-5b2e71078ad6",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "modified": "2021-10-25T23:08:40Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "DataConnect Support Team",
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "measure_allStates_download csv file",
          "description": "{\"dataset\": \"measure_allStates_download\", \"stage\": \"prodAuto\", \"update_id\": \"20211018_v2_ETL_DEV_OT_SPLIT\"}",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20211018_v2_ETL_DEV_OT_SPLIT/measure_allStates_download.csv"
        }
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Patient survey (HCAHPS) - National",
        "accessURL": "https://data.cms.gov/provider-data/dataset/99ue-w85f"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "CAHPS",
        "Patient Survey",
        "Patient Experience of Care",
        "Survey",
        "National"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "99ue-w85f",
      "description": "The national average for the HCAHPS survey categories. HCAHPS is a national, standardized survey of hospital patients about their experiences during a recent inpatient hospital stay.",
      "title": "Patient survey (HCAHPS) - National",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/08eefc5ab7c6cce7b3555fd79b0d8eec_1785189951/HCAHPS-National.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "prodAuto_fileType_measureDisplayGroups",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-13T13:41:41Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "fileType_measureDisplayGroups csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/fileType_measureDisplayGroups.csv",
          "description": "{\"dataset\": \"fileType_measureDisplayGroups\", \"stage\": \"prodAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "9a44a67b-4623-5bf5-941e-2d28a9874023",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "HealthCare.gov Marketplace Medicaid Unwinding Report",
      "identifier": "9a83ba5e-05f5-47f5-82de-f3a59233a912",
      "description": "Metrics from individual Marketplaces during the current reporting period. The report includes data for the states using HealthCare.gov. As of August 2024, CMS is no longer releasing the “HealthCare.gov” metrics. Historical data between July 2023-July 2024 will remain available. The “HealthCare.gov Transitions” metrics, which are the CAA, 2023 required metrics, will continue to be released.  <br />\n<b>Sources:</b> HealthCare.gov application and policy data through May 5, 2024, and T-MSIS Analytic Files (TAF) through March 2024 (TAF version 7.1 with T-MSIS enrollment through the end of March 2024). Data include consumers in HealthCare.gov states where the first unwinding renewal cohort is due on or after the end of reporting month (state identification based on HealthCare.gov policy and application data). State data start being reported in the month when the state's first unwinding renewal cohort is due. April data include Arizona, Arkansas, Florida, Indiana, Iowa, Kansas, Nebraska, New Hampshire, Ohio, Oklahoma, South Dakota, Utah, West Virginia, and Wyoming. May data include the previous states and the following new states: Alaska, Delaware, Georgia, Hawaii, Montana, North Dakota, South Carolina, Texas, and Virginia. June data include the previous states and the following new states: Alabama, Illinois, Louisiana, Michigan, Missouri, Mississippi, North Carolina, Tennessee, and Wisconsin. July data include the previous states and Oregon. All HealthCare.gov states are included in this version of the report.<br />\n<b>Notes: </b>\n<ol>\n<li> This table includes Marketplace consumers who: 1) submitted a HealthCare.gov application on or after the start of each state’s first reporting month; and 2) who can be linked to an enrollment record in TAF that shows Medicaid or CHIP enrollment between March 2023 and the latest reporting month.</li>\n<li>Cumulative counts show the number of unique consumers from the included population who had a Marketplace application submitted or a HealthCare.gov Marketplace policy on or after the start of each state’s first reporting month through the latest reporting month. Net counts show the difference between the cumulative counts through a given reporting month and previous reporting months.  </li>\n<li>The data used to produce the metrics are organized by week. Reporting months start on the first Monday of the month and end on the first Sunday of the next month when the last day of the reporting month is not a Sunday. For example, the April 2023 reporting period extends from Monday, April 3 through Sunday, April 30.</li>\n<li>Data are preliminary and will be restated over time to reflect consumers most recent HealthCare.gov status. Data may change as states resubmit T-MSIS data or data quality issues are identified.</li>\n<li>Data do not represent Marketplace consumers who had a confirmed Medicaid/CHIP loss. Future reporting will look at coverage transitions for people who lost Medicaid/CHIP.</li>\n<li>See the data and methodology documentation for a full description of the data sources, measure definitions, and general data limitations. </li>\n</ol>\n<b>Data notes:</b> <ol>\n<li> Virginia operated a Federally Facilitated Exchange (FFE) on the HealthCare.gov platform during 2023. In 2024, the state started operating a State Based Marketplace (SBM) platform. This table only includes data on 2023 applications and policies obtained through the HealthCare.gov Marketplace. Due to limited Marketplace activity on the HealthCare.gov platform in December 2023, data from December 2023 onward are excluded. The cumulative count and percentage for Virginia and the HealthCare.gov total reflect Virginia data from April 2023 through November 2023.</li>\n<li>The report may include negative 'net counts,' which reflect that there were cumulatively fewer counts from one month to the next.\n</li>\n<li>Wyoming has negative ‘net counts’ for most of its metrics in March 2024, including 'Marketplace Consumers with Previous Medicaid or CHIP Enrollment.' Negative counts reflect that there were cumulatively fewer individual counts from one month to the next. The net percentages have been replaced with an asterisk for March 2024 due to the uninterpretable values.\n</li>\n</ol>\nPercentages shown are of total Marketplace consumers with previous Medicaid or CHIP enrollment.<br />\nSome cells have a value of \"NR\" or not reported. State data starts being reported in the month when the state's first unwinding renewal cohort is due. <br />\t\t\t\t\nAPTC: Advance Premium Tax Credit; CHIP: Children's Health Insurance Program; NR: Not reported; QHP: Qualified Health Plan",
      "accessLevel": "public",
      "issued": "2023-07-28T19:28:58Z",
      "modified": "2024-08-30T12:51:10Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Unwinding"
      ],
      "keyword": [
        "Marketplace",
        "Coverage Transitions"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/healthcare.gov-data-july-2024-release.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/f2d28620-37ff-4b1d-bd14-d0ca8066870d",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/healthcare.gov-data-july-2024-release.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2024"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "Ownership Payment Data - Detailed Dataset 2024 Reporting Year\nAll ownership and investment payments from the 2024 program year [January 1 – December 31, 2024]",
      "distribution": [
        {
          "title": "Ownership Payment Data - Detailed Dataset 2024 Reporting Year",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/PGYR2024_P06302026_06032026/OP_DTL_OWNRSHP_PGYR2024_P06302026_06032026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://openpaymentsdata.cms.gov/api/1/metastore/schemas/data-dictionary/items/0b7b03cb-835c-50c4-abbb-5a311eb91858",
            "title": "openpaymentsdata.cms.gov"
          },
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "9ac4f7f8-b6e4-4d80-8410-4aba7e71dd02",
      "title": "2024 Ownership Payment Data",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2024-01-01",
          "endDate": "2024-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Ownership Payments"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-08-07-to-2023-08-13",
      "identifier": "9ad4e7c5-00e5-4f2b-b53b-814b1caf623d",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-08-15T15:52:52Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-08-07-to-2023-08-13",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-08-07-2023-to-08-13-2023_0_0.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "9b4a-75d5",
      "title": "Medical Toxicology Office Visit Costs",
      "description": "Returns medical toxicology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Medical Toxicology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/376d83aa6b33b0dd94bb62dcae41158e_1722902743/Medical_Toxicology.csv",
          "mediaType": "text/csv",
          "title": "Medical_Toxicology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Medical Toxicology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/9b4a-75d5"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "Physician Fee Schedule - March 2012 release. This file contains the revisions identified in the Middle Class Tax Relief and Job Creation Act of 2012 (MCTRJCA). Medicare payment rates under the Medicare Physician Fee Schedule (MPFS) are set according to statutory criteria. The following 2012 MPFS payment rates are reflective of the CY 2012 Medicare Physician Fee Schedule Final Rule, which was published in the Federal Register on November 28, 2011, and the CY 2012 Medicare Physician Fee Schedule Final Rule Correction Notice, which was published in the Federal Register on January 4, 2012. These payment rates are based on current law, including the Middle Class Tax Relief and Job Creation Act of 2012 (MCTRJCA), which provides for a zero percent update through December 31, 2012. The MCTRJCA extends several provisions of the Temporary Payroll Tax Cut Continuation Act of 2011 (TPTCCA). Please note that MCTRJCA does NOT extend add-on payments for mental health services and minimum payment for bone mass measurement (sections 307 and 309 of the TPTCCA, respectively). As such, effective March 1, 2012, the MPFS payment rates for these services have changed. 2012A: Medicare payment rates under the Medicare Physician Fee Schedule (MPFS) are set according to statutory criteria. The following 2012 MPFS payment rates are reflective of the CY 2012 Medicare Physician Fee Schedule Final Rule, which was published in the Federal Register on November 28, 2011, and the CY 2012 Medicare Physician Fee Schedule Final Rule Correction Notice that was put on display at the Office of the Federal Register on December 30, 2011. These payment rates are based on current law, including the Temporary Payroll Tax Cut Continuation Act of 2011, which provides for a zero percent update for the period of January 1, 2012 to February 29, 2012. The Centers for Medicare and Medicaid Services will work quickly to update MPFS payment rates in the event Congress passes legislation to prevent the negative update from going into effect on March 1, 2012. Please be on the alert for more information about the 2012 physician update as it becomes available. ",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators212a.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "9befd04c-f37a-451b-94ce-9d60d292fe5a",
      "keyword": [
        "2012A",
        "indicators"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-01-01",
          "endDate": "2012-06-30T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Indicators for 2012A",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2020"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "Research Payment Data – Detailed Dataset 2020 Reporting Year\nAll research-related payments from the 2020 program year [January 1 – December 31, 2020]",
      "distribution": [
        {
          "title": "Research Payment Data – Detailed Dataset 2020 Reporting Year",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/PGYR2020_P06302026_06032026/OP_DTL_RSRCH_PGYR2020_P06302026_06032026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://openpaymentsdata.cms.gov/api/1/metastore/schemas/data-dictionary/items/618ebb0f-b9c8-5efd-a374-bd8e7665d5f8",
            "title": "openpaymentsdata.cms.gov"
          },
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "9c248e7e-7c7f-478b-ab84-ce0919d72c1c",
      "title": "2020 Research Payment Data",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-01",
          "endDate": "2020-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Research Payments"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Number and rate of NAS per 1,000 births in newborns whose deliveries were covered by Medicaid or CHIP, 2017 - 2021",
      "identifier": "9c9ad0d1-c59b-4a25-9314-8e7e44e7f281",
      "description": "This table presents the number of beneficiaries with NAS and the rate of neonatal abstinence syndrome per 1,000 newborns whose deliveries were covered by Medicaid or CHIP, 2017 - 2021.\n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues, making the data unusable for identifying this population. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \n\nData from Maryland, Tennessee, and Utah are omitted due to data quality concerns. Maryland was excluded in 2017 due to unusable diagnosis codes in the IP file and the OT file. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2020. In addition, states with a high data quality concern on one or more measures are noted in the table in the \"Data Quality\" column. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T18:31:22Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Neonatal Abstinence Syndrome (NAS)",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Number and rate of NAS per 1,000 births in newborns whose deliveries were covered by Medicaid or CHIP, 2017 - 2021",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/rate-of-nas-per-thous-in-newborns-2017-to-2021.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66c22e06-abfb-451d-bd0f-2795cc31ea0d",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Benefits and Cost Sharing PUF - PY2022",
      "identifier": "9dbef2bc-2fab-4700-8cf3-5501f63c58c3",
      "description": "The Benefits and Cost Sharing PUF (BenCS-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The BenCS-PUF contains plan variant-level data on essential health benefits, coverage limits, and cost sharing for each QHP and SADP. ",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2022-08-10T12:00:00Z",
      "modified": "2022-08-17T13:30:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
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        "fn": "Center for Consumer Information and Insurance Oversight",
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      "keyword": [
        "Benefits and Cost Sharing",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2022"
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          "downloadURL": "https://data.healthcare.gov/datafile/py2022/benefits_cost_sharing_puf.csv",
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      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
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      ],
      "keyword": [
        "scorecard",
        "Utility"
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        "https://www.mathematica.org/"
      ],
      "title": "Scorecard measure_value v3.9.137 (ETL Test)",
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      "distribution": [
        {
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          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.137/20260918/measure_value.csv",
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          "format": "csv",
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      ],
      "@type": "Dataset",
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    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 03-18-2024-to-03-24-2024",
      "identifier": "9ddd26da-ac32-47e9-88fd-3e4d4e747c90",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
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    {
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      "title": "Pricing Comparison for Blood Disorder Treatments (Pricing as of 12/1/2024)",
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      "description": "The Reference Document link for the downable Blood Disorder Treatment Spreadsheet can be accessed below under the Additional Information table under Related Documents.",
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        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Drug Products"
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      "distribution": [
        {
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          "downloadURL": "https://download.medicaid.gov/data/Clotting-Factor-December2024.csv",
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        "https://download.medicaid.gov/data/Spreadsheet_Footnotes.pdf"
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        "fn": "DataConnect Support Team"
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        "https://www.mathematica.org/"
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      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
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        "https://www.mathematica.org/"
      ],
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      "description": "The Plan Attributes PUF (Plan-PUF) is one of the files that make up the Marketplace PUF. The Plan-PUF contains plan-level data on maximum out of pocket payments, deductibles, cost sharing, health savings account (HSA) eligibility, formulary ID, and other plan attributes. These data either originate from the Plans &amp; Benefits template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated). The issuer can also import data created in other templates (e.g., Network IDs from the Network ID template, Service Area IDs from the Service Area template, and Formulary IDs from the Prescription Drug template) to use as allowable values for the applicable fields in the Plans &amp; Benefits template, or enter these values manually.",
      "accessLevel": "public",
      "issued": "2017-10-25T16:42:08Z",
      "modified": "2018-08-13T20:36:27Z",
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        ]
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      "contactPoint": {
        "fn": "Andrew Jennings",
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      },
      "keyword": [
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          "downloadURL": "https://data.healthcare.gov/datafile/plan-attributes-puf-2018.9epp-mpe8.csv",
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    },
    {
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        "fn": "DataConnect Support Team"
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      "modified": "2025-11-13T13:41:41Z",
      "theme": [
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      "keyword": [
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      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measureSearchInfo csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/measureSearchInfo.csv",
          "description": "{\"dataset\": \"measureSearchInfo\", \"stage\": \"prodAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
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      ],
      "identifier": "9f53c963-b4c3-581e-ae56-4067452ea599",
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      "inventoried": "2026-09-27"
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      "title": "Drug Manufacturer Contacts",
      "identifier": "9fcb14ec-d5f0-536e-9938-3f0024531e5b",
      "description": "Drug Manufacturer Contact Information contains Optional Effective Date, Termination Date (if applicable), and Legal, Invoice and Technical Contact information for each drug company participating in the Medicaid Drug Rebate Program. For more information see: https://www.medicaid.gov/medicaid/prescription-drugs/medicaid-drug-rebate-program/index.html",
      "accessLevel": "public",
      "issued": "2015-04-07T18:22:11Z",
      "modified": "2026-08-13T17:21:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
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            "@type": "Organization",
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          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
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      ],
      "keyword": [
        "Drug Manufacturer Contacts"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/2q2026-labeler-contacts.csv",
          "describedBy": {
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            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/64b9c63b-7690-4d5d-9e50-5c36d460524e",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
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      ],
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "States",
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      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-03-26T19:47:00Z",
      "modified": "2017-05-11T02:37:12Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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      "contactPoint": {
        "fn": "Franklin Williams",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare",
        "utility"
      ],
      "distribution": [
        {
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          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/states.9fpx-2mzv.csv",
          "describedBy": {
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            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/9d5e6520-25c0-440b-b1cc-6d3686c61791",
            "title": "data.healthcare.gov"
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          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Patient Survey (PCH - HCAHPS) PPS-Exempt Cancer Hospital - National",
        "accessURL": "https://data.cms.gov/provider-data/dataset/9g7e-btyt"
      },
      "bureauCode": [
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      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "CAHPS",
        "Patient Survey",
        "Patient Experience of Care",
        "Survey",
        "National",
        "Cancer",
        "PPS-Exempt Cancer Hospital Quality Reporting"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "9g7e-btyt",
      "description": "The national average for the HCAHPS survey categories. HCAHPS is a national, standardized survey of hospital patients about their experiences during a recent inpatient hospital stay.",
      "title": "Patient Survey (PCH - HCAHPS) PPS-Exempt Cancer Hospital - National",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/51dabafd670b6379256fc111bcbec8b4_1785189958/PCH_HCAHPS_NATIONAL.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 NM Individual Dental",
      "identifier": "9hay-v3sx",
      "description": "For instructions on how to read and use this data, visit: https://data.healthcare.gov/download/57n9-x7ym/application/pdf",
      "accessLevel": "public",
      "issued": "2014-11-13T16:57:45Z",
      "modified": "2015-08-20T00:29:59Z",
      "publisher": {
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        "name": "Office of Communications (OC)",
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
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        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qhp-landscape-nm-individual-market-dental.9hay-v3sx.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e9f5c38c-56fc-4eb9-bf65-852e1e359940",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Office-based Physician Health IT Adoption and Use",
      "description": "Since 2008, the Centers for Disease Control and Prevention's National Center for Health Statistics has fielded a mail survey of office-based physicians, the National Electronic Health Records Survey (NEHRS). ONC helps fund this supplement to track office-based physician adoption and the use of EHRs for health information exchange and patient engagement. Starting in 2010, the NEHRS's sample size was increased to allow for state-level estimates. The data set estimates each measure nationally and individually for each state and the District of Columbia beginning in 2010, unless otherwise noted.",
      "identifier": "9jlt3cvr-g3xs-9sva-n1js-xczfj9fxr7fh",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Office-based Physician Health IT Adoption and Use landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/office-based-physician-health-it-adoption-and-use"
      },
      "modified": "2021-12-15",
      "accrualPeriodicity": "annually",
      "keyword": [
        "health information technology",
        "health IT",
        "physicians",
        "doctors",
        "EHR adoption",
        "interoperability"
      ],
      "relation": [
        "https://www.healthit.gov/data/quickstats/office-based-physician-electronic-health-record-adoption",
        "https://www.healthit.gov/data/apps/office-based-physician-health-it-adoption"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Hospital Readmissions Reduction Program",
        "accessURL": "https://data.cms.gov/provider-data/dataset/9n3s-kdb3"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-01-26",
      "released": "2026-08-13",
      "keyword": [
        "Hospital Readmissions Reduction Program",
        "Readmissions",
        "Acute Myocardial Infarction",
        "Heart Failure",
        "Pneumonia",
        "Chronic Obstructive Pulmonary Disease",
        "Total Hip and/or Total Knee Arthroplasty",
        "Coronary Artery Bypass Graft"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "9n3s-kdb3",
      "description": "In October 2012, CMS began reducing Medicare payments for subsection(d) hospitals with excess readmissions under the Hospital Readmissions Reduction Program (HRRP). Excess readmissions are measured by a ratio, calculated by dividing a hospital's predicted rate of readmissions for heart attack (AMI), heart failure (HF), pneumonia, chronic obstructive pulmonary disease (COPD), hip/knee replacement (THA/TKA), and coronary artery bypass graft surgery (CABG) by the expected rate of readmissions, based on an average hospital with similar patients.",
      "title": "Hospital Readmissions Reduction Program",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/a171bc36c488d3e0dc33ec63abb469a6_1770163617/FY_2026_Hospital_Readmissions_Reduction_Program_Hospital.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "The Ecosystem of Apps and Software Integrated with Certified Health Information Technology",
      "description": "This dataset provides a historical list (2019-2025) of apps and software applications featured across public app galleries from several commercial and non-commercial sources, including EHR vendors. We developed an automated, programmed process that gathers data from these sources, documenting the date of each pull and relevant details about the apps and software featured at that source at the time of the pull.",
      "identifier": "9nlmm1hl-7k2v-pms1-2q3f-8odxl5i7qszw",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The Ecosystem of Apps and Software Integrated with Certified Health Information Technology landing page",
        "accessURL": "https://healthit.gov/data/datasets/app-marketplace-tech-ecosystem/"
      },
      "modified": "2025-08-18",
      "accrualPeriodicity": "annually",
      "keyword": [
        "health IT",
        "health information technology",
        "apps",
        "digital health tools",
        "remote monitoring tools",
        "wearables",
        "clinical decision support",
        "ehr integration"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "ecosystem-apps-software-marketplace-history.csv",
          "downloadURL": "https://healthit.gov/data/wp-content/uploads/sites/2/2025/09/ecosystem-apps-software-marketplace-history.csv",
          "mediaType": "text/csv",
          "format": "CSV"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "9tjt-seye",
      "title": "2022 Final Assisted Reproductive Technology (ART) Summary",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatmentâ€™s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patientâ€™s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National ART Surveillance System",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-12-18",
      "issued": "2016-05-12",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Assisted Reproductive Technology (ART)"
        }
      ],
      "keyword": [
        "art",
        "success rates",
        "services",
        "infertility",
        "fertility",
        "clinic",
        "assisted reproductive technology"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Reproductive Health (DRH)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "ARTINFO"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2022 Final Assisted Reproductive Technology (ART) Summary",
          "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment's success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient's chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.",
          "accessURL": "https://data.cdc.gov/d/9tjt-seye",
          "downloadURL": "https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2022-Final-Assisted-Reproductive-Technology-ART-Su/9tjt-seye/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-12-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/9tjt-seye",
            "title": "2022 Final Assisted Reproductive Technology (ART) Summary"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Final Assisted Reproductive Technology (ART) Summary Series",
          "description": "The ART Summary dataset series provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment's success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient's chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "9umn-c3jf",
      "title": "PLACES: Local Data for Better Health, ZCTA Data 2023 release",
      "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-07-10",
      "issued": "2024-07-10",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "health",
        "disability",
        "brfss",
        "behaviors",
        "zcta",
        "status",
        "risk",
        "prevention",
        "prevalence",
        "places",
        "outcomes",
        "zip code"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, ZCTA Data 2023 release",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/9umn-c3jf",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2023/9umn-c3jf/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-07-10",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/9umn-c3jf",
            "title": "PLACES: Local Data for Better Health, ZCTA Data 2023 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: ZCTA Dataset Series  2020-2025",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES from 2020-2025."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "9xb7-9z99",
      "title": "PLACES: ZCTA Data (GIS Friendly Format), 2021 release",
      "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 29 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-10-04",
      "issued": "2022-10-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "health",
        "gis",
        "behaviors",
        "zcta",
        "zip code",
        "places",
        "prevention",
        "risk",
        "status",
        "prevalence",
        "outcomes"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: ZCTA Data (GIS Friendly Format), 2021 release",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 29 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",
          "accessURL": "https://data.cdc.gov/d/9xb7-9z99",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-ZCTA-Data-GIS-Friendly-Format-2021-release/9xb7-9z99/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2022-10-04",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/9xb7-9z99",
            "title": "PLACES: ZCTA Data (GIS Friendly Format), 2021 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: ZCTA Data (GIS Friendly Format) Series, 2020-2025",
          "description": "This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project from 2020-2025 in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States 50 states and the District of Columbia (DC) at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "ONC Health Information Technology for Economic and Clinical Health (HITECH) Grantee List",
      "description": "The Health Information Technology for Economic and Clinical Health (HITECH) Act was passed as part of the American Recovery and Reinvestment Act (ARRA) to invest in the U.S. health IT infrastructure. The Office of the National Coordinator for Health IT (ONC) received over $2 billion of these HITECH funds, which was granted to health and community organizations across the U.S. This data set provides the full list of ONC's HITECH Act grantees. The data encompasses the five ONC HITECH Act programs: the Beacon Communities Program, the Health IT Regional Extension Centers Program, the Health IT Workforce Programs, the State Health Information Exchange Program, and the Strategic Health IT Advanced Research Projects (SHARP) Program. This data set includes geographic, federal funding, and grantee organization data. The data can be linked to other open data sets on the Health IT Dashboard and other sources.",
      "identifier": "9yl9iufr-tyrn-xj4n-iqou-cf3r98e02fw8",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "ONC Health Information Technology for Economic and Clinical Health (HITECH) Grantee List landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/onc-health-information-technology-economic-and-clinical-health-hitech-grantee-list"
      },
      "modified": "2015-06-01",
      "accrualPeriodicity": "annually",
      "keyword": [
        "health IT",
        "grantee",
        "HITECH",
        "ARRA",
        "recs",
        "regional extension centers",
        "state health information exchange cooperative agreement",
        "meaningful use",
        "EHR"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "ONC_HITECH_Grantee_List.csv",
          "downloadURL": "https://www.healthit.gov/sites/default/files/data/datasets/ONC_HITECH_Grantee_List.csv",
          "mediaType": "text/csv",
          "format": "CSV"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "9z78-nsfp",
      "title": "500 Cities: Local Data for Better Health, 2016 release",
      "description": "This is the complete dataset for the 500 Cities project 2016 release. This dataset includes 2013, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2013, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2009-2013, 2010-2014 estimates. More information about the methodology can be found at www.cdc.gov/500cities.\nNote: During the process of uploading the 2015 estimates, CDC found a data discrepancy in the published 500 Cities data for the 2014 city-level obesity crude prevalence estimates caused when reformatting the SAS data file to the open data format. . The small area estimation model and code were correct. This data discrepancy only affected the 2014 city-level obesity crude prevalence estimates on the Socrata open data file, the GIS-friendly data file, and the 500 Cities online application. The other obesity estimates (city-level age-adjusted and tract-level) and the Mapbooks were not affected. No other measures were affected. The correct estimates are update in this dataset on October 25, 2017.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2018-10-11",
      "issued": "2017-11-21",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "tracts",
        "500cities",
        "census",
        "estimates",
        "prevalence"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "500 Cities Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "500 Cities: Local Data for Better Health, 2016 release",
          "description": "This is the complete dataset for the 500 Cities project 2016 release. This dataset includes 2013, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2013, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2009-2013, 2010-2014 estimates. More information about the methodology can be found at www.cdc.gov/500cities.\nNote: During the process of uploading the 2015 estimates, CDC found a data discrepancy in the published 500 Cities data for the 2014 city-level obesity crude prevalence estimates caused when reformatting the SAS data file to the open data format. . The small area estimation model and code were correct. This data discrepancy only affected the 2014 city-level obesity crude prevalence estimates on the Socrata open data file, the GIS-friendly data file, and the 500 Cities online application. The other obesity estimates (city-level age-adjusted and tract-level) and the Mapbooks were not affected. No other measures were affected. The correct estimates are update in this dataset on October 25, 2017.",
          "accessURL": "https://data.cdc.gov/d/9z78-nsfp",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/500-Cities-Local-Data-for-Better-Health-2016-relea/9z78-nsfp/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2018-10-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/9z78-nsfp",
            "title": "500 Cities: Local Data for Better Health, 2016 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "500 Cities Complete Dataset Series, 2016-2019",
          "description": "This is the complete dataset for the 500 Cities project from 2016-2019. Dataset in this series includes model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "AAPCC/Pesticides",
      "title": "Pesticide Exposure",
      "description": "Tracking pesticide exposures in a standard way can public health professionals in the following ways: Identifying trends over time and across different geographic areas; Exploring patterns of health effects from pesticide exposures; Determining trends in exposure sites (work, school, or home.) Tracking the short-term (acute) health effects related to pesticide exposures can also inform public health actions.\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=20&selectedIndicatorId=95",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "ALAN",
      "title": "Artificial Light at Night (ALAN)",
      "description": "CDC is collaborating with NASA to develop measures for the dataset to ensure public health utility and allow for linkage with health data. There is ongoing work to download, process, and set up pipelines for the data. The Tracking Program and NASA are also in partnership to develop a machine learning model with this data to track power outages during disaster events.\n\nUse Cases:\nUsed to track light pollution, estimate economic activity in an area, monitor changes to energy infrastructure, and measure disaster impacts and recovery.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "AQ Forecast",
      "title": "NASA GEOS-CF Air Quality 5-Day Forecast",
      "description": "Use cases:\nGEOS-CF forecasts offer a tool for public health professionals, air quality managers, and researchers to better anticipate short-term surface air quality levels. Forecasts can also be used to aid the interpretation of ground monitor measurements, low-cost sensor measurements, or satellite observations.\n\nProcessing/Background:\nThe pollutants included in this indicator have been designated by the EPA Clean Air Act as “criteria air pollutants” – widespread pollutants considered harmful to public health and the environment. The EPA has defined six levels of health concern or AQI categories (i.e., Hazardous, Very Unhealthy, Unhealthy, Unhealthy for Sensitive Groups, Moderate, Good) for exposure to these pollutants. This indicator displays the categorical level of health concern and the daily concentration from which the level of health concern for each pollutant is derived (e.g., 24hr mean, 8-hr rolling mean, etc.).\nNASA's Goddard Earth Observing System Composition Forecasts v1.0 (GEOS-CF) produces 5-day forecasts once per day. The initial conditions (1-day replay simulation or “hindcast”) are constrained by meteorological fields and satellite retrievals of aerosol optical depth (AOD).\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=11&selectedIndicatorId=205",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "AQS",
      "title": "Air Quality System Data Ambient Monitor Data",
      "description": "This indicator can help public health practitioners, policymakers, and the public assess potential exposures to criteria air pollutants across space and over time. Annual average values may shed light on chronic exposures that are associated with cancer, cardiopulmonary diseases, and other negative health outcomes.\nPlease see the links below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=11&selectedIndicatorId=203\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=11&selectedIndicatorId=204",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "AirToxScreen",
      "title": "Air Toxics Screening Assessment",
      "description": "In its 2019 release, AirToxScreen released data on 180 pollutants. The value added by the Tracking Network is the complex processing and focused display of total cancer risk and the current 7 pollutants that contribute the most to cancer risk at the national scale as well as the display of census tract resolution data, historical data, and summary measures of exposure and cancer risk. Please see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=25&selectedIndicatorId=175",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "BD",
      "title": "Birth Defects (Tracking Network Recipient Data)",
      "description": "The Tracking Network has data on the following birth defects: Anencephaly, Cleft Lip with Cleft Palate, Cleft Lip without Cleft Palate, Cleft Palate without Cleft Lip, Gastroschisis, Hypoplastic Left Heart Syndrome, Hypospadias, Limb Deficiencies, Spina Bifida without Anencephaly, Tetralogy of Fallot, Transposition of the Great Arteries (Vessels), Trisomy 21 (Down Syndrome). Please see the links below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=5&selectedIndicatorId=1&selectedMeasureId=\nhttps://github.com/CDCgov/EPHTracking",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "CDC-NCIPC-DOP-DOSEDIS",
      "title": "Drug Overdose Surveillance and Epidemiology - Discharge (DOSE-DIS)",
      "description": "Data from 35 states and the District of Columbia that includes annual emergency department and inpatient hospitalization discharge surveillance data related to overdose.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIPC",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Injury Prevention and Control (NCIPC), Division of Overdose Prevention (DOP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "modified": "2026-06-23",
      "issued": "2020-01-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "nonfatal overdose emergency department visits and hospitalizations"
        }
      ],
      "keyword": [
        "DOSE-DIS",
        "discharge",
        "drug overdose",
        "ED",
        "hospitalization"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/dose-dashboard-nonfatal-discharge-data.html",
        "title": "Drug Overdose Surveillance and Epidemiology - Discharge (DOSE-DIS)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "34 states and Washington"
        },
        {
          "@type": "Agent",
          "name": "DC"
        }
      ],
      "rights": [
        "This dataset is owned and maintained by the Centers for Disease Control and Prevention."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "CDC-RFA-CE-23-0004",
          "type": "Cooperative agreement number"
        }
      ],
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/dose-dashboard-nonfatal-discharge-data.html",
        "title": "DOSE Discharge Data Dictionary"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Drug Overdose Surveillance and Epidemiology (DOSE) - Discharge",
          "description": "Public access dashboard for nonfatal overdose data from discharge systems",
          "accessURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/dose-dashboard-nonfatal-discharge-data.html",
          "downloadURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/dose-dashboard-nonfatal-discharge-data.html",
          "format": "Online Data Platform",
          "rights": [
            "Some data in the public domain"
          ],
          "modified": "2026-06-23",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/dose-dashboard-nonfatal-discharge-data.html",
            "title": "DOSE-DIS Dashboard"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "restricted - partly",
              "restrictionNote": "Limited data are published to public facing data dashboard at: https://www.cdc.gov/overdose-prevention/data-research/facts-stats/dose-dashboard-nonfatal-discharge-data.html"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "restricted - partly"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "CDC-NCIPC-DOP-DOSESYS",
      "title": "Drug Overdose Surveillance and Epidemiology - Syndromic (DOSE-SYS)",
      "description": "Data on suspected nonfatal drug overdose-related emergency department visits from 47 states and the District of Columbia.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIPC",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Injury Prevention and Control (NCIPC), Division of Overdose Prevention (DOP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "modified": "2026-07-23",
      "issued": "2020-01-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "nonfatal overdose emergency department visits"
        }
      ],
      "keyword": [
        "DOSE-SYS",
        "syndromic",
        "drug overdose",
        "ED",
        "hospitalization"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/dose-dashboard-nonfatal-surveillance-data.html",
        "title": "Drug Overdose Surveillance and Epidemiology - Syndromic (DOSE-SYS)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "47 states and the District of Columbia"
        }
      ],
      "rights": [
        "This dataset is owned and maintained by the Centers for Disease Control and Prevention."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "CDC-RFA-CE-23-0003",
          "type": "Cooperative agreement number"
        }
      ],
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/dose-dashboard-nonfatal-surveillance-data.html",
        "title": "DOSE Syndromic Data Dictionary"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Drug Overdose Surveillance and Epidemiology (DOSE) - Syndromic",
          "description": "Public access dashboard for nonfatal overdose data from syndromic systems",
          "accessURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/dose-dashboard-nonfatal-surveillance-data.html",
          "downloadURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/dose-dashboard-nonfatal-surveillance-data.html",
          "format": "Online Data Platform",
          "rights": [
            "Some data in the public domain"
          ],
          "modified": "2026-07-23",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/dose-dashboard-nonfatal-surveillance-data.html",
            "title": "DOSE-SYS Dashboard"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "restricted - partly",
              "restrictionNote": "Limited data are published to public facing data dashboard at: https://www.cdc.gov/overdose-prevention/data-research/facts-stats/dose-dashboard-nonfatal-surveillance-data.html"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "restricted - partly"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "CDC-NCIPC-DOP-FENTALOG",
      "title": "ACMT Fentalog study",
      "description": "Data from ten geographically diverse hospitals in 9 states to identify risk factors and evaluate optimal treatments for nonfatal overdoses involving fentanyl, novel fentalogs, and other substances",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIPC",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Injury Prevention and Control (NCIPC), Division of Overdose Prevention (DOP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "modified": "2026-07-09",
      "issued": "2022-07-17",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Substance use disorders"
        },
        {
          "@type": "Concept",
          "prefLabel": "drug overdose"
        }
      ],
      "keyword": [
        "Toxicological testing",
        "drug overdose",
        "opioid",
        "substance use disorders"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "9 states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/fentalog-study-dashboard.html",
        "title": "ACMT Fentalog study"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Toxicology Investigators Consortium"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "10 hospitals in 9 states"
        }
      ],
      "rights": [
        "Data is collected as part of the study funded by NIH/NIDA and CDC with the ACMT Toxiclogy Investigators Consortium. CDC was provided access to the data in kind to complement other overdose surveillance activities."
      ],
      "creator": {
        "@type": "Agent",
        "name": "ACMT"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "NIDA R01DA048009",
          "type": "R01 agreement number"
        }
      ],
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/fentalog-study-dashboard.html",
        "title": "ACMT Fentalog Data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "ACMT Fentalog study",
          "description": "Public access dashboard for biological specimen testing data from nonfatal overdoses",
          "accessURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/fentalog-study-dashboard.html",
          "downloadURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/fentalog-study-dashboard.html",
          "format": "Online data platform",
          "rights": [
            "Some data in the public domain"
          ],
          "modified": "2026-06-09",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/fentalog-study-dashboard.html",
            "title": "ACMT Fentalog Dashboard"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "restricted - partly",
              "restrictionNote": "Limited data are published to public facing data dashboard at: https://www.cdc.gov/overdose-prevention/data-research/facts-stats/fentalog-study-dashboard.html"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "restricted - partly"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "CDC-NCIPC-DOP-SUDORS",
      "title": "State Unintentional Drug Overdose Reporting System (SUDORS)",
      "description": "Data on all drug overdose deaths in 49 states and the District of Columbia. Data includes unintentional and undetermined intent drug overdose deaths based on information from death certificates, coroner/medical examiner reports, witness reports, autopsy reports, and postmortem toxicology  reports.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIPC",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Injury Prevention and Control (NCIPC), Division of Overdose Prevention (DOP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "modified": "2026-08-07",
      "issued": "2020-01-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "drug overdose deaths"
        }
      ],
      "keyword": [
        "SUDORS",
        "medical examiner/coroner",
        "toxicology",
        "death scene investigation",
        "death certificate",
        "overdose death"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/sudors-dashboard-fatal-overdose-data.html",
        "title": "State Unintentional Drug Overdose Reporting System (SUDORS)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "49 states and the District of Columbia"
        }
      ],
      "rights": [
        "This dataset is owned and maintained by the Centers for Disease Control and Prevention."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "CDC-RFA-CE-23-0002",
          "type": "Cooperative agreement number"
        }
      ],
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/sudors-dashboard-fatal-overdose-data.html",
        "title": "SUDORS Data Dictionary"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "State Unintentional Drug Overdose Reporting System (SUDORS)",
          "description": "Public access dashboard for fatal overdose data",
          "accessURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/sudors-dashboard-fatal-overdose-data.html",
          "downloadURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/sudors-dashboard-fatal-overdose-data.html",
          "format": "Online Data Platform",
          "rights": [
            "Some data in the public domain"
          ],
          "modified": "2026-08-07",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/sudors-dashboard-fatal-overdose-data.html",
            "title": "SUDORS Dashboard"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "restricted - partly",
              "restrictionNote": "Limited data are published to public facing data dashboard at: https://www.cdc.gov/overdose-prevention/data-research/facts-stats/sudors-dashboard-fatal-overdose-data.html"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "restricted - partly"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "CDC-NCIPC-DVP-NISVS",
      "title": "National Intimate Partner and Sexual Violence Survey (NISVS)",
      "description": "Nationally representative data on experiences of sexual violence, stalking, intimate partner violence, and associated impacts among adults in the United States.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIPC",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Injury Prevention and Control (NCIPC), Division of Violence Prevention (DVP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "restricted public",
      "modified": "2024-12-31",
      "issued": "2010-01-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "violence"
        }
      ],
      "keyword": [
        "National Intimate Partner and Sexual Violence Survey (NISVS)",
        "intimate partner violence",
        "sexual violence",
        "stalking",
        "victimization",
        "violence surveillance",
        "public health surveillance",
        "adults",
        "CDC",
        "NCIPC"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nisvs/about/index.html",
        "title": "National Intimate Partner and Sexual Violence Survey (NISVS)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention"
        }
      ],
      "rights": [
        "This dataset is owned and maintained by the Centers for Disease Control and Prevention. Public reports and documentation are available through CDC. Data files are distributed through Inter-university Consortium for Political and Social Research (ICPSR) in accordance with applicable access requirements."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nisvs/about/index.html",
        "title": "NISVS Data Dictionary"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Intimate Partner and Sexual Violence Survey (NISVS)",
          "description": "Public access point for National Intimate Partner and Sexual Violence Survey (NISVS) datasets, documentation, questionnaires, codebooks, and related materials available through the Inter-university Consortium for Political and Social Research (ICPSR). Individual study downloads are available from their respective study pages.",
          "accessURL": "https://www.icpsr.umich.edu/web/ICPSR/series/567",
          "downloadURL": "https://www.icpsr.umich.edu/web/ICPSR/series/567",
          "format": "Online data platform",
          "rights": [
            "Some data in the public domain"
          ],
          "modified": "2024-12-31",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "restricted - partly",
              "specificRestriction": "Individual-level respondent data are subject to confidentiality protections.",
              "restrictionNote": "Public reports and documentation are available through CDC. Individual-level data files are distributed through ICPSR and may require user registration and compliance with applicable access requirements."
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "restricted - partly"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "CDC-NCIPC-DVP-NVDRS",
      "title": "National Violent Death Reporting System (NVDRS)",
      "description": "Data on suicides, homicides, legal intervention deaths, unintentional firearm deaths, and deaths of undetermined intent that may have been due to violence. VDRS programs in all 50 states, the District of Columbia, and Puerto Rico obtain data from death certificates, coroner/medical examiner reports, and law enforcement reports. Trained VDRS abstractors in the states input data into an encrypted web-based system and populate variable fields and write narratives.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIPC",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Injury Prevention and Control (NCIPC), Division of Violence Prevention (DVP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "restricted public",
      "modified": "2024-08-01",
      "issued": "2003-01-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "violent death"
        },
        {
          "@type": "Concept",
          "prefLabel": "suicide"
        }
      ],
      "keyword": [
        "NVDRS",
        "National Violent Death Reporting System",
        "violent death",
        "mortality",
        "suicide",
        "injury"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://wisqars.cdc.gov/about/nvdrs-data/",
        "title": "National Violent Death Reporting Systesm (NVDRS)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "All 50 states"
        },
        {
          "@type": "Agent",
          "name": "the District of Columbia"
        },
        {
          "@type": "Agent",
          "name": "and Puerto Rico"
        }
      ],
      "rights": [
        "This dataset is owned and maintained by the Centers for Disease Control and Prevention."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention"
      },
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nvdrs/about/index.html",
        "title": "NVDRS Data Dictionary"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Violent Death Reporting System (NVDRS) Web-based Injury Statistics and Query System (WISQARS) and Restricted Access Database (RAD)",
          "description": "National Violent Death Reporting System (NVDRS) data can be accessed two different ways on CDC.gov, both free of charge: through a public query portal (NVDRS WISQARS) or by applying for access to the NVDRS Restricted Access Database (RAD).",
          "accessURL": "https://www.cdc.gov/nvdrs/about/nvdrs-data-access.html",
          "downloadURL": "https://www.cdc.gov/nvdrs/about/nvdrs-data-access.html",
          "format": "Via the RAD Help Desk",
          "rights": [
            "Some data in the public domain"
          ],
          "modified": "2024-08-01",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "restricted - partly",
              "specificRestriction": "Requestors for the NVDRS RAD who meet requrirements must sign a data sharing agreement",
              "restrictionNote": "Limited data are published to public facing data dashboard at: https://wisqars.cdc.gov/. The NVDRS restricted access database may be utilized to analyze additional data with  user registration and compliance with applicable access requirements: https://www.cdc.gov/nvdrs/about/nvdrs-data-access.html."
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "restricted - partly"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "Contract #: IAA Planned for FY27",
      "title": "General Social Survey (GSS)",
      "description": "General Social Survey (GSS) data sponsored by CDC's Division of HIV Prevention include HIV testing and HIV-related risk behavior measures collected from a nationally representative sample of U.S. adults. Conducted by NORC since 1972, the GSS provides demographic, behavioral, and attitudinal data that support analyses of HIV testing practices and risk behaviors in the U.S. general population and inform HIV prevention research and recommendations.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCHHSTP Policy",
          "hasEmail": "mailto:nchhstppolicy@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for HIV, Viral Hepatitis, STD and TB Prevention (NCHHSTP), Division of HIV Prevention (DHP), Behavioral and Clinical Surveillance Branch (BCSB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Science: Surveillance",
        "Research",
        "and Emergency Response"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://GSS",
        "title": "GSS"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "DS",
      "title": "Downscaler Modeled Air Quality Predictions",
      "description": "This indicator can help public health practitioners, policymakers, and the public assess potential exposures to criteria air pollutants across space and over time. Annual average values may shed light on chronic exposures that are associated with cancer, cardiopulmonary diseases, and other negative health outcomes.\nPlease see the links below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=11&selectedIndicatorId=203\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=11&selectedIndicatorId=204",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "Daily Temp",
      "title": "Real-time Daily Apparent Temperature and Daily Maximum Temperature",
      "description": "Use cases:\nMonitoring spatial and temporal patterns of extreme heat and temperature; Linking with heat-related illness (HRI) health outcome data\n\nData processing:\nThese measures are derived from Forcing File A of Phase 2 of the North American Land Data Assimilation System (NLDAS-2). NLDAS-2 is available at the 1/8th-degree grid (approximately 14x14 km) and consists of 103,936 grid cells that cover the entire United States, excluding AK and HI. Gridded raw data were summarized to the U.S. county or census tract level to aid in estimating population exposure to high temperature and heat index conditions and to enable linkage with health-related datasets. To accomplish this, U.S. census block group centroids were attributed to individual NLDAS grid cells based on a containment relationship. Maximum daily temperature and heat index were determined for each block group by identifying the maximum hourly value for each day. Using census block group population as weights, population-weighted averages by U.S. county and census tract were calculated.\n\nThe 90th, 95th, 98th, and 99th percentile values of the daily heat metrics were determined for each county and census tract for the period between 1979 and 2019 (May – September values only). Extreme heat days are classified according to the following thresholds: (1) absolute (e.g., 90°F, 95°F, 100°F, 105°F) and (2) relative (e.g., 90th, 95th, 98th, and 99th percentile) values. Extreme heat events are periods in which an absolute or relative threshold is surpassed for a duration of at least 2 or 3 consecutive days (specific value can be selected in the advanced options). Annual values for extreme heat events represent the total number of days in which an extreme heat event was ongoing.\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "Diphtheria Surveillance and Trends | Diphtheria | CDC",
      "title": "Diphtheria Surveillance and Trends",
      "description": "Reported Diphtheria, 1920-2025",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-DBD",
          "hasEmail": "mailto:Mening-pert-diph@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "ED",
      "title": "Emergency Department visits  (asthma, COPD, CO, Heat related illness)",
      "description": "The data are used to calculate annual counts, crude rates, and adjusted rates of ED visits. The data include the following variables: visit month and year, age group, county, state, ethnicity (optional), race (optional), sex and health outcome.\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages\nhttps://github.com/CDCgov/EPHTracking",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "FARS",
      "title": "National Highway Traffic Safety Administration Fatality Analysis Reporting System",
      "description": "Critical content of this dataset includes the location of fatal motor vehicle accidents and accidents involving cyclists and pedestrians, types of transportation that are at greater risk of fatalities when involved in a motor vehicle accident, and vehicle miles traveled per census tract within communties by census tract.\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HCJGC-2026-96259",
      "title": "Virtual SARS-CoV-2, Influenza, and Other respiratory pathogens Network (VISION 2.5)",
      "description": "Successfully support the implementation of the VISION 2.5 project by updating and maintaining 100% of required project artifacts, including study protocols, IRB approvals, and data management plans, to ensure timely collection of EHR data identifying pediatric and adult patients tested for or infected with SARS-CoV-2, influenza, and RSV. Collaborate with project stakeholders to integrate and validate data from VISION 2.0, VISION 2.3, and VISION 2.5 cohorts, achieving complete and accurate longitudinal datasets that support real-time surveillance and longitudinal analyses. Meet all project milestones and regulatory requirements while ensuring data quality, completeness, and adherence to established timelines.\n\nUnique focus: Integrating multiple VISION datasets into a unified longitudinal data asset for advanced analytics.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:visionproject@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD) Coronavirus and Other Respiratory Viruses Division (CORVD), Influenza Division (ID)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "HOSP",
      "title": "Hospitalizations (asthma, COPD, CO, Heat related illness, Acute MI)",
      "description": "The data are used to calculate annual counts, crude rates, and adjusted rate of hospitalizations. The data include the following variables: admission month and year, age group, county, state, ethnicity (optional), race (optional), sex and health outcome.\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages\nhttps://github.com/CDCgov/EPHTracking",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HRI",
      "title": "Syndromic Heat Related Illness data (HRI)",
      "description": "Use cases:\nAssessing the severity of an ongoing heat event; Providing evidence for needing response resources (e.g., requesting additional cooling center hours or water distribution sites); Preparing emergency department personnel for visit surges during severe, prolonged heat waves\n\nKey data variables/Background:\nHeat cramps are brief, intermittent, and often severe cramps typically in muscles that are fatigued by heavy work. Heat syncope (fainting) is a temporary loss of consciousness from prolonged heat exposure. Heat exhaustion happens when there is an extreme depletion of blood plasma volume, sometimes along with low blood sodium (hyponatremia) and/or peripheral blood pooling. Heat stroke, even if treated, can have a death rate as high as 33%. Up to 17% of heat stroke survivors suffer permanent health effects. Everyone should take steps to prevent heat-related illness, especially among populations at higher risk of heat stroke.\n\nThe relationship between extreme heat and increased daily illness and death is well established. This indicator captures hospital admissions directly attributed to heat-related illness (e.g., heat illness, heat stroke, and hyperthermia). It is a measure that can be tracked easily and consistently across geography and time, and acts as a sentinel for the broader range of heat-related illness that is not recognized and/or coded as such.\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=35&selectedIndicatorId=89",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-BHW-1",
      "title": "BHW Management Information System Solution (BMISS)",
      "description": "BMISS is used to manage the lifecycle of loan payment and scholarship programs for several marquee BHW programs including the National Health Service Corps (NHSC) Loan Repayment and Scholarship Programs, Nurse Corps Loan Repayment and Scholarship Programs, the Pediatric Specialty Loan Repayment Program, the Substance Use Disorder Treatment and Recovery Loan Payment Program, and the Faculty Loan Repayment Program. It is the primary system through which applicants transact with BHW, from the initial applications through in-service verifications. It is also the system through HRSA ensures compliance and manages participant contracts.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Carla Piwinsky",
          "hasEmail": "mailto:CPiwinsky@HRSA.Gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Bureau of Health Workforce (BHW)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Health Resources and Services Administration (HRSA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "restricted public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Program Data"
        }
      ],
      "keyword": [
        "Workforce",
        "Grants",
        "Program Administration"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
        "title": "HRSA Data Warehouse"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Bureau of Health Workforce Clinician Dashboards",
          "description": "Bureau of Health Workforce Clinician Dashboards as a dashboard. Data Dictionary is a tab in the downloadable Excel file",
          "accessURL": "https://data.hrsa.gov/topics/health-workforce/program/clinician-dashboard-alumni",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/External_Clinician_Dashboard_Data_v2025.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-10-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/External_Clinician_Dashboard_Data_v2025.xlsx",
            "title": "Excel Data Dictionary"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - STAR FY 2021",
          "description": "BHW Program Applicant and Award Data - STAR FY 2021 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY2021%20STAR%20LRP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - STAR FY 2022",
          "description": "BHW Program Applicant and Award Data - STAR FY 2022 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY2022%20STAR%20LRP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - STAR FY 2023",
          "description": "BHW Program Applicant and Award Data - STAR FY 2023 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY2023%20STAR%20LRP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - STAR FY 2024",
          "description": "BHW Program Applicant and Award Data - STAR FY 2024 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY%202024%20STAR%20LRP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - STAR FY 2025",
          "description": "BHW Program Applicant and Award Data - STAR FY 2025 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY2025%20STAR%20LRP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - S2S FY 2022",
          "description": "BHW Program Applicant and Award Data - S2S FY 2022 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY2022%20S2S%20LRP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - S2S FY 2023",
          "description": "BHW Program Applicant and Award Data - S2S FY 2023 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY2023%20S2S%20LRP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - S2S FY 2024",
          "description": "BHW Program Applicant and Award Data - S2S FY 2024 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY%202024%20S2S%20LRP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - S2S FY 2025",
          "description": "BHW Program Applicant and Award Data - S2S FY 2025 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY2025%20S2S%20LRP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - PS FY 2022",
          "description": "BHW Program Applicant and Award Data - PS FY 2022 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY2022%20S2S%20LRP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - PS FY 2023",
          "description": "BHW Program Applicant and Award Data - PS FY 2023 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY2023%20S2S%20LRP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - PS FY 2024",
          "description": "BHW Program Applicant and Award Data - PS FY 2024 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY%202024%20S2S%20LRP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - PS FY 2025",
          "description": "BHW Program Applicant and Award Data - PS FY 2025 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY2025%20S2S%20LRP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - NHSC SP FY 2020",
          "description": "BHW Program Applicant and Award Data - NHSC SP FY 2020 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY2020%20NHSC%20SP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - NHSC SP FY 2021",
          "description": "BHW Program Applicant and Award Data - NHSC SP FY 2021 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY2021%20NHSC%20SP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
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          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - NHSC SP FY 2022",
          "description": "BHW Program Applicant and Award Data - NHSC SP FY 2022 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY2022%20NHSC%20SP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
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        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - NHSC SP FY 2023",
          "description": "BHW Program Applicant and Award Data - NHSC SP FY 2023 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY2023%20NHSC%20SP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - NHSC SP FY 2024",
          "description": "BHW Program Applicant and Award Data - NHSC SP FY 2024 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY%202024%20NHSC%20SP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-30",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "BHW Program Applicant and Award Data - NHSC SP FY 2025",
          "description": "BHW Program Applicant and Award Data - NHSC SP FY 2025 Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant#Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/FY2025%20NHSC%20SP%20Program%20Applicant%20Metrics.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
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            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-03",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/DD_Files/MUA_DATAMART_METADATA.XLSX",
            "title": "Medically Underserved Areas/Populations Data Dictionary"
          },
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            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        },
        {
          "@type": "Distribution",
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          "description": "Medically Underserved Areas/Populations  Component Boundaries SHP File",
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          "downloadURL": "https://data.hrsa.gov/DataDownload/DD_Files/MUA_SHP.zip",
          "format": "SHP",
          "mediaType": "SHP",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-03",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
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          "@type": "Distribution",
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          "description": "Medically Underserved Areas/Populations  Designation Boundaries SHP File",
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          "downloadURL": "https://data.hrsa.gov/DataDownload/DD_Files/MUA_CMPPC_SHP.zip",
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          "mediaType": "SHP",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-03",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly"
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-BHW-3",
      "title": "Health Workforce Connector (HWC)",
      "description": "HWC is a public facing job search website used by approved sites in the BMISS Platform and the general public. It functions as an online resource and recruitment tool that connects and engages anyone who is interested in improving the health of underserved communities. Approved sites can use HWC to create a profile highlighting their site’s mission, services provided, and benefits for employees. They can also post searchable job opportunities. The general public can use HWC to search for sites and job opportunities that match specific BHW programs. The HWC also allows users to create a profile, search for NHSC and Nurse Corps sites, find job opportunities, and make their profiles discoverable by sites seeking to fill job vacancies.",
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        {
          "@type": "Kind",
          "fn": "Carla Piwinsky",
          "hasEmail": "mailto:CPiwinsky@HRSA.Gov"
        }
      ],
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        "@type": "Organization",
        "name": "Bureau of Health Workforce (BHW)",
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            "@type": "Organization",
            "name": "Health Resources and Services Administration (HRSA)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-07-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Program Data"
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      "keyword": [
        "Workforce",
        "Provider Data",
        "Primary Care"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://connector.hrsa.gov/connector/",
        "title": "Health Workforce Connector"
      },
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Health Workforce Connector",
          "description": "Web-based Workforce Search Engine",
          "accessURL": "https://connector.hrsa.gov/connector/",
          "format": "HTML",
          "mediaType": "PDF",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-07-01",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-BHW-4",
      "title": "National Practitioner Data Bank (NPDB)",
      "description": "The NPDB is a federal electronic repository that collects and releases information about adverse actions and medical malpractice payments regarding health care practitioners, providers, and suppliers.  NPDB was created by Title IV of the Health Care Quality Improvement Act of 1986, Public Law 99-660.  The NPDB was established to improve the quality of health care, restrict the ability of practitioners to move from state to state or hospital to hospital without disclosing medical malpractice payments or adverse action histories, and encourage protected peer review.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "David Loewenstein",
          "hasEmail": "mailto:DLoewenstein@HRSA.Gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Bureau of Health Workforce (BHW)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Health Resources and Services Administration (HRSA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "restricted public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Administrative Health Data"
        },
        {
          "@type": "Concept",
          "prefLabel": "Program Data"
        }
      ],
      "keyword": [
        "Provider Data",
        "Patient Data",
        "Program Administration"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.npdb.hrsa.gov/analysistool/",
        "title": "National Practitioner Data Bank"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-BHW-5",
      "title": "State Licensing Board Compliance Results",
      "description": "The NPDB State Licensing Boards' compliance results  and latest attestation is shared with the public through an interactive map for all reviewed state licensing boards in the 50 states, D.C. and U.S. terrotories.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Ashley Carothers",
          "hasEmail": "mailto:ACarothers@HRSA.Gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Bureau of Health Workforce",
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            "@type": "Organization",
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              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-09-02",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Program Data"
        }
      ],
      "keyword": [
        "Provider Data",
        "Program Administration"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.npdb.hrsa.gov/resources/npdbstats/npdbMap.jsp",
        "title": "State Licensing Board Compliance Results"
      },
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "State Licensing Board Compliance Results",
          "description": "State Licensing Board Compliance Results as a dashboard",
          "accessURL": "https://www.npdb.hrsa.gov/resources/npdbstats/npdbMap.jsp",
          "format": "Tableau",
          "mediaType": "Tableau",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-02",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-BHW-6",
      "title": "Area Health Resources Files (AHRF)",
      "description": "The Area Health Resources Files (AHRF) data are designed to be used by policymakers, researchers, and others interested in the nation’s health care system The AHRF includes data on providers, populations, facilities, and more. These AHRF data are obtained from more than 50 sources. AHRF data are available at the national, state, and (where available) county level.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Yahtyng Sheu",
          "hasEmail": "mailto:YSheu@hrsa.gov"
        }
      ],
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        "@type": "Organization",
        "name": "Bureau of Health Workforce (BHW)",
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            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-12-18",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Program Data"
        }
      ],
      "keyword": [
        "Provider Data",
        "Patient Data",
        "Primary Care"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://data.hrsa.gov/data/download",
        "title": "HRSA Data Warehouse"
      },
      "contributor": [
        {
          "@type": "Agent",
          "name": "Mathematica"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "isReferencedBy": [
        "https://sam.gov/workspace/contract/opp/1fff0752eee0b3b866b9848665135770/view"
      ],
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "CONTRACT-75R60219D00014"
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      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "ARHF County Level Data 1999-2000 ASCII",
          "description": "ARHF County Level Data Files 1999-2000 in ASCII",
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          "downloadURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF1999.zip",
          "format": "ASCII",
          "mediaType": "ASCII",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF_USER_TECH_1999-2000.zip",
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          "description": "ARHF County Level Data Files 2000-2001 in ASCII",
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          "format": "ASCII",
          "mediaType": "ASCII",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-18",
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            "@type": "Document",
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          "description": "ARHF County Level Data Files 2001-2002 in ASCII",
          "accessURL": "https://data.hrsa.gov/data/download",
          "downloadURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF2001.zip",
          "format": "ASCII",
          "mediaType": "ASCII",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-18",
          "describedBy": {
            "@type": "Document",
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        },
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          "description": "ARHF County Level Data Files 2002-2003 in ASCII",
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          "downloadURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF2002.zip",
          "format": "ASCII",
          "mediaType": "ASCII",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF_USER_TECH_2002-2003.zip",
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        },
        {
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          "title": "ARHF County Level Data 2003-2004 ASCII",
          "description": "ARHF County Level Data Files 2003-2004 in ASCII",
          "accessURL": "https://data.hrsa.gov/data/download",
          "downloadURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF2003.zip",
          "format": "ASCII",
          "mediaType": "ASCII",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF_USER_TECH_2003-2004.zip",
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          "accessRestriction": [
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          ]
        },
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          "description": "ARHF County Level Data Files 2004-2005 in ASCII",
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          "downloadURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF2004.zip",
          "format": "ASCII",
          "mediaType": "ASCII",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-18",
          "describedBy": {
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            "accessURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF_USER_TECH_2004-2005.zip",
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        },
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          "description": "ARHF County Level Data Files 2005-2006 in ASCII",
          "accessURL": "https://data.hrsa.gov/data/download",
          "downloadURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF2005.zip",
          "format": "ASCII",
          "mediaType": "ASCII",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF_USER_TECH_2005-2006.zip",
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          ]
        },
        {
          "@type": "Distribution",
          "title": "ARHF County Level Data 2006-2007 ASCII",
          "description": "ARHF County Level Data Files 2006-2007 in ASCII",
          "accessURL": "https://data.hrsa.gov/data/download",
          "downloadURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF2006.zip",
          "format": "ASCII",
          "mediaType": "ASCII",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF_USER_TECH_2006-2007.zip",
            "title": "Technical Documentation"
          },
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          ]
        },
        {
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          "title": "ARHF County Level Data 2007-2008 ASCII",
          "description": "ARHF County Level Data Files 2007-2008 in ASCII",
          "accessURL": "https://data.hrsa.gov/data/download",
          "downloadURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF2007.zip",
          "format": "ASCII",
          "mediaType": "ASCII",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF_USER_TECH_2007-2008.zip",
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        },
        {
          "@type": "Distribution",
          "title": "ARHF County Level Data 2008-2009 ASCII",
          "description": "ARHF County Level Data Files 2008-2009 in ASCII",
          "accessURL": "https://data.hrsa.gov/data/download",
          "downloadURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF2008.zip",
          "format": "ASCII",
          "mediaType": "ASCII",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF_USER_TECH_2008-2009.zip",
            "title": "Technical Documentation"
          },
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          ]
        },
        {
          "@type": "Distribution",
          "title": "ARHF County Level Data 2009-2010 ASCII",
          "description": "ARHF County Level Data Files 2009-2010 in ASCII",
          "accessURL": "https://data.hrsa.gov/data/download",
          "downloadURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF2009.zip",
          "format": "ASCII",
          "mediaType": "ASCII",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF_USER_TECH_2009-2010.zip",
            "title": "Technical Documentation"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
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          ]
        },
        {
          "@type": "Distribution",
          "title": "ARHF County Level Data 2011-2012 ASCII",
          "description": "ARHF County Level Data Files 2011-2012 in ASCII",
          "accessURL": "https://data.hrsa.gov/data/download",
          "downloadURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF2011.asc",
          "format": "ASCII",
          "mediaType": "ASCII",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF_USER_TECH_2011-2012.zip",
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        },
        {
          "@type": "Distribution",
          "title": "ARHF County Level Data 2012-2013 ASCII",
          "description": "ARHF County Level Data Files 2012-2013 in ASCII",
          "accessURL": "https://data.hrsa.gov/data/download",
          "downloadURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF2012.zip",
          "format": "ASCII",
          "mediaType": "ASCII",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF_USER_TECH_2012-2013.zip",
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          ]
        },
        {
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          "title": "ARHF County Level Data 2013-2014 ASCII",
          "description": "ARHF County Level Data Files 2013-2014 in ASCII",
          "accessURL": "https://data.hrsa.gov/data/download",
          "downloadURL": "https://data.hrsa.gov/DataDownload/AHRF/AHRF2014.zip",
          "format": "ASCII",
          "mediaType": "ASCII",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-18",
          "describedBy": {
            "@type": "Document",
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            "title": "Technical Documentation"
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        {
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        {
          "@type": "Distribution",
          "title": "Nurse Practitioner 2012 Data ASCII",
          "description": "Nurse Practitioner 2012 Data  in ASCII",
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          "mediaType": "Excel",
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            "accessURL": "https://bphc.hrsa.gov/sites/default/files/bphc/compliance/2025-uds-manual.pdf",
            "title": "2025 Uniform Data System Manual - Health Center Data Reporting Requirements"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "National Health Center Program Uniform Data System (UDS) Look-Alike Data",
          "description": "National Health Center Program look-alikes from 2021-2025 in an Excel format",
          "accessURL": "https://data.hrsa.gov/topics/healthcenters/uds/overview/national-lookalikes",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-07-30",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://bphc.hrsa.gov/sites/default/files/bphc/compliance/2025-uds-manual.pdf",
            "title": "2025 Uniform Data System Manual - Health Center Data Reporting Requirements"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "Hypertension Control",
          "description": "5-year trends of state-level UDS hypertension control data",
          "accessURL": "https://data.hrsa.gov/topics/health-centers/hypertension-control",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/Hypertension_NHCI_UDS_2019-2024.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-07-30",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/Content/Documents/topics/About%20the%20Hypertension%20Dashboard.pdf",
            "title": "About the Hypertension Control Dashboard"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "Community Health Quality Recognition (CHQR) Dashboard",
          "description": "National and state-level summaries, of the CHQR badges awarded each year",
          "accessURL": "https://data.hrsa.gov/topics/health-centers/chqr",
          "downloadURL": "https://data.hrsa.gov/DataDownload/StaticDocuments/CHQR_Badge_Data.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-07-30",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/Content/Documents/topics/About%20the%20Health%20Center%20CHQR%20Dashboard.pdf",
            "title": "About the Community Health Quality Recognition Dashboard"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "@id": "https://data.hrsa.gov/DataDownload/StaticDocuments/H80-1999.xlsx",
          "title": "UDS Data",
          "description": "Uniform Data System Data Series"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-BPHC-24",
      "title": "PCMH Database",
      "description": "This database provides data related to Notices of Intent,  Primary Care/Ambulatory Care Accreditation, Patient Centered Medical Home Recognition by recognition source for H80 and Look-Alike (LAL) health centers.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Neeraj Deshpande",
          "hasEmail": "mailto:NDeshpande@HRSA.Gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Bureau of Primary Health Care (BPHC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Health Resources and Services Administration (HRSA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Program Data"
        }
      ],
      "keyword": [
        "Primary Care",
        "Provider Data",
        "Program Administration"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-BPHC-37",
      "title": "Health Center Loan Guarantee Program Dataset",
      "description": "The Health Center Loan Guarantee Program data captures organization applications, reviews, loan commitments, oversight, and closeout.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Christopher Gibbs",
          "hasEmail": "mailto:CGibbs@HRSA.Gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Bureau of Primary Health Care (BPHC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Health Resources and Services Administration (HRSA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Program Data"
        }
      ],
      "keyword": [
        "Primary Care",
        "Grants",
        "Program Administration"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-BPHC-70",
      "title": "Health Sites",
      "description": "Visualize and interact with sites data to compare health education opportunities and health services, obtain information on facility types, and connect the data between site types.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "HDW Project Team",
          "hasEmail": "mailto:data@hrsa.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Bureau of Primary Health Care (BPHC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Health Resources and Services Administration (HRSA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-09-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Program Data"
        }
      ],
      "keyword": [
        "Primary Care",
        "Provider Data"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://data.hrsa.gov/data/download",
        "title": "HRSA Data Warehouse"
      },
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://data.hrsa.gov/DataDownload/DD_Files/SITE_DASHBOARD_METADATA.xlsx",
        "title": "data.hrsa.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Health Sites Excel",
          "description": "Health Sites Excel File",
          "accessURL": "https://data.hrsa.gov/data/download",
          "downloadURL": "https://data.hrsa.gov/DataDownload/DD_Files/SITE_DASHBOARD.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-03",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/DD_Files/SITE_DASHBOARD_METADATA.xlsx",
            "title": "Health Sites Data Dictionary"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "Health Sites CSV",
          "description": "Health Sites CSV File",
          "accessURL": "https://data.hrsa.gov/data/download",
          "downloadURL": "https://data.hrsa.gov/DataDownload/DD_Files/SITE_DASHBOARD.csv",
          "format": "CSV",
          "mediaType": "CSV",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-03",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/DD_Files/SITE_DASHBOARD_METADATA.xlsx",
            "title": "Health Sites Data Dictionary"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-BPHC-71",
      "title": "Health Center Service Delivery and Look–Alike Sites",
      "description": "This dataset provides a list of Health Resources and Services Administration (HRSA)-supported health centers. These health centers provide comprehensive, affordable, accessible, high-quality primary health care services to medically underserved communities and populations. Health centers are community-based and patient-directed organizations.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "HDW Project Team",
          "hasEmail": "mailto:data@hrsa.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Bureau of Primary Health Care (BPHC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Health Resources and Services Administration (HRSA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-09-02",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Program Data"
        }
      ],
      "keyword": [
        "Primary Care",
        "Provider Data"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://data.hrsa.gov/data/download",
        "title": "HRSA Data Warehouse"
      },
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://data.hrsa.gov/DataDownload/DD_Files/EHB_SITE_DATAMART_METADATA.XLSX",
        "title": "data.hrsa.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Health Center Service Delivery and Look–Alike Sites",
          "description": "Health Center Service Delivery and Look–Alike Sites  Excel Data File",
          "accessURL": "https://data.hrsa.gov/data/download?data=Applicant",
          "downloadURL": "https://data.hrsa.gov/DataDownload/DD_Files/Health_Center_Service_Delivery_and_LookAlike_Sites.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-02",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/DD_Files/EHB_SITE_DATAMART_METADATA.XLSX",
            "title": "Excel Data Dictionary"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "Health Center Service Delivery and Look–Alike Sites",
              "endpointURL": [
                "https://data.hrsa.gov/tools/web-services/registration"
              ],
              "endpointDescription": [
                "Must complete registration form at https://data.hrsa.gov/tools/web-services/registration"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "HDW Project Team",
                  "hasEmail": "mailto:data@hrsa.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Bureau of Primary Health Care (BPHC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-BPHC-9",
      "title": "Health Center Workforce Well-being Survey Data",
      "description": "Between November 2022 and January 2023, HRSA's BPHC staff fielded a survey. It measured workforce well-being, job satisfaction, and burnout at health centers. Nearly 50% of the approximately 1,500 HRSA-supported health centers participated. Participating staff represent different workforce categories. Results provided baseline information about the health center workforce. ​",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Lara Chausow",
          "hasEmail": "mailto:LChausow@HRSA.Gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Bureau of Primary Health Care (BPHC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Health Resources and Services Administration (HRSA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-01-31",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Program Data"
        }
      ],
      "keyword": [
        "Workforce",
        "Provider Data",
        "Primary Care"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://data.hrsa.gov/data/download",
        "title": "HRSA Data Warehouse"
      },
      "contributor": [
        {
          "@type": "Agent",
          "name": "John Snow Inc."
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "CONTRACT-75R60221F34003"
        }
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Health Center Workforce Well-being Databoard",
          "description": "Workforce Well-Being Tableau Dashboard",
          "accessURL": "https://data.hrsa.gov/topics/health-centers/workforce-well-being",
          "format": "Tableau",
          "mediaType": "Tableau",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-01-31",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-FORHP-1",
      "title": "County and Census Tract Rural Area File",
      "description": "This is an Excel file of all eligible areas for Rural Health grants identified by census tract and county.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "HRSA Rural Policy",
          "hasEmail": "mailto:ruralpolicy@hrsa.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Federal Office of Rural Health Policy (FORHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Health Resources and Services Administration (HRSA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-09-11",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Program Data"
        }
      ],
      "keyword": [
        "Rural Health",
        "Grants"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.hrsa.gov/rural-health/about-us",
        "title": "Rural Health"
      },
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.hrsa.gov/sites/default/files/hrsa/rural-health/about/rural-health-areas-data-set.xlsx",
        "title": "hrsa.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "County and Census Tract Rural Area Excel File",
          "description": "County and Census Tract Rural Area Data in Excel Format. Data Dictionary is located in a tab within the downloadable file.",
          "accessURL": "https://www.hrsa.gov/rural-health/about-us/what-is-rural/data-files",
          "downloadURL": "https://www.hrsa.gov/sites/default/files/hrsa/rural-health/about/rural-health-areas-data-set.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-09-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.hrsa.gov/sites/default/files/hrsa/rural-health/about/rural-health-areas-data-set.xlsx",
            "title": "County and Census Tract Rural Area Data Dictionary"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-FORHP-2",
      "title": "Rural ZIP Code Approximation File",
      "description": "This is an Excel file of ZIP Codes that have been cross walked to FORHP’s rural definition. It is an approximation. Each ZIP occurs only one time.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "HRSA Rural Policy",
          "hasEmail": "mailto:ruralpolicy@hrsa.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Federal Office of Rural Health Policy",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Health Resources and Services Administration (HRSA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-01-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Program Data"
        }
      ],
      "keyword": [
        "Rural Health",
        "Program Administration"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.hrsa.gov/rural-health/about-us",
        "title": "Rural Health"
      },
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.hrsa.gov/sites/default/files/hrsa/rural-health/about/rural-zip-code-approximations.xlsx",
        "title": "hrsa.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Rural ZIP Code Approximation File",
          "description": "The ZIP Code Approximation Excel file  is based on the census tract data. Data Dictionary is located in a tab within the downloadable file.",
          "accessURL": "https://www.hrsa.gov/rural-health/about-us/what-is-rural/data-files",
          "downloadURL": "https://www.hrsa.gov/sites/default/files/hrsa/rural-health/about/rural-zip-code-approximations.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-01-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.hrsa.gov/sites/default/files/hrsa/rural-health/about/rural-zip-code-approximations.xlsx",
            "title": "Rural ZIP Code Approximation File Data Dictionary"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-HAB-4",
      "title": "Ryan White HIV/AIDS Program",
      "description": "This entity represents the data dictionary for the Ryan White HIV/AIDS Recipients and Sub-Recipients data mart. This dataset lists the recipients and sub-recipients of Ryan White HIV/AIDS Program (RWHAP) funding and medical providers within the RWHAP who currently provide medical services for low-income people living with HIV (PLWH). The RWHAP provides a comprehensive system of HIV primary medical care, medications, and essential support services to low-income people living with HIV (PLWH). The Program funds grants to cities/counties, states, and local community-based organizations to provide HIV care and treatment services to more than half a million people each year.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Shelita Mechant",
          "hasEmail": "mailto:SMerchant1@hrsa.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "HIV/AIDS Bureau (HAB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Health Resources and Services Administration (HRSA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-12-08",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Program Data"
        }
      ],
      "keyword": [
        "HIV/AIDS",
        "Patient Data",
        "Grants"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://data.hrsa.gov/data/download",
        "title": "HRSA Data Warehouse"
      },
      "rights": [
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-HSB-1",
      "title": "Injury Compensation System - Vaccine Injury Compensation Program",
      "description": "The National Childhood Vaccine Injury Act of 1986, as amended, created the National Vaccine Injury Compensation Program (VICP), a no-fault alternative to the traditional tort system. It provides compensation to people found to be injured by certain vaccines. VICP published reports on petitions, adjunctions and payouts under the program.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "George (Reed) Grimes",
          "hasEmail": "mailto:GGrimes@HRSA.Gov"
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        "@type": "Organization",
        "name": "Health Systems Bureau (HSB)",
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            ]
          }
        ]
      },
      "accessRights": "non-public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Administrative Health Data"
        },
        {
          "@type": "Concept",
          "prefLabel": "Program Data"
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      ],
      "keyword": [
        "Injury Compensation",
        "Patient Data",
        "Program Administration"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
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      ],
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-HSB-13",
      "title": "Organ Procurement and Transplantation Network and Scientific Registry of Transplant Recipients Data System",
      "description": "The OPTN databases contain pre-transplant information that pertains to transplant recipients, transplant candidates on the OPTN Waiting List, donor/recipient matching, deceased and living donors and histocompatibility since 1986.",
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        {
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          "fn": "Division of Transplantation",
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        {
          "@type": "Concept",
          "prefLabel": "Program Data"
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      "keyword": [
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        "Patient Data",
        "Provider Data"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.hrsa.gov/optn?from=optn.transplant.hrsa.gov",
        "title": "Organ Procurement & Transplantation Network (OPTN)"
      },
      "distribution": [
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          "@type": "Distribution",
          "title": "Organ Procurement and Transplantation Network",
          "description": "OPTN Excel File",
          "accessURL": "https://data.hrsa.gov/topics/health-systems/organ-donation",
          "downloadURL": "https://data.hrsa.gov/DataDownload/DD_Files/Organ_Donation_and_Transplantation_Data.xlsx",
          "format": "Excel",
          "mediaType": "SHP",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
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          "accessRestriction": [
            {
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              "restrictionStatus": "Restricted - Partly"
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
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      "title": "DoNation Workplace Scorecard",
      "description": "The DoNation Workplace Scorecard collects data on organizations who participate in the DoNation Campaign. Collected information includes, name, title, organization name, address, phone number and email of key organizational points of contact.",
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          "@type": "Kind",
          "fn": "Lauren Darensbourg",
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          "prefLabel": "Program Data"
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      ],
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        "Program Administration"
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          "prefLabel": "National"
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      "inventoried": "2026-09-27",
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    },
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      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "George (Reed) Grimes",
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        }
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        "@type": "Organization",
        "name": "Health Systems Bureau (HSB)",
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            ]
          }
        ]
      },
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        }
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        "Patient Data",
        "Program Administration"
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        {
          "@type": "Location",
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      "contributor": [
        {
          "@type": "Agent",
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          "name": "LLC"
        }
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    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-MCHB-1",
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          "fn": "Soohyun  Kim, Katherine Michel",
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      },
      "accessRights": "non-public",
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          "@type": "Concept",
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      ],
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      ],
      "inventoried": "2026-09-27",
      "describedBy": null
    },
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      "@type": "Dataset",
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      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Eugene Tom",
          "hasEmail": "mailto:ETom@HRSA.Gov"
        }
      ],
      "publisher": {
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      },
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          "prefLabel": "Program Data"
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      "keyword": [
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      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://mchb.tvisdata.hrsa.gov/",
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      },
      "rights": [
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      ],
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          "format": "Tableau",
          "mediaType": "Tableau",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-01-01",
          "accessRestriction": [
            {
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              "restrictionStatus": "unrestricted"
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          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-MCHB-6",
      "title": "National Survey of Children's Health (NSCH)",
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        {
          "@type": "Kind",
          "fn": "Reem Ghandour, Olivia  Sappenfield",
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        {
          "@type": "Kind",
          "fn": "Reem Ghandour, Olivia  Sappenfield",
          "hasEmail": "mailto:OSappenfield@HRSA.Gov"
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      "publisher": {
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        "name": "Maternal and Child Health Bureau (MCHB)",
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          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-08-26",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Surveillance/Epidemiology Data"
        }
      ],
      "keyword": [
        "Maternal & Child Health",
        "Patient Data"
      ],
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        {
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          "prefLabel": "National"
        },
        {
          "@type": "Location",
          "prefLabel": "State"
        },
        {
          "@type": "Location",
          "prefLabel": "Sub-state (in some cases for selected states that have purchased oversamples for this purpose)"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.census.gov/programs-surveys/nsch.html",
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          "name": "U.S. Census Bureau"
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      ],
      "rights": [
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        }
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          "downloadURL": "https://www2.census.gov/programs-surveys/nsch/datasets/2016/nsch_2016_screener_SAS.zip",
          "format": "SAS",
          "mediaType": "SAS",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
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          "description": "2016 NSCH Screener Data FIles in  Stata format",
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          "downloadURL": "https://www2.census.gov/programs-surveys/nsch/datasets/2016/nsch_2016_screener_Stata.zip",
          "format": "Stata",
          "mediaType": "Stata",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-04-08",
          "describedBy": {
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            "accessURL": "https://www2.census.gov/programs-surveys/nsch/technical-documentation/codebook/2016-NSCH-Screener-Variable-List.pdf",
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        },
        {
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          "description": "2016 NSCH Topical Data FIles in  SAS format",
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          "downloadURL": "https://www2.census.gov/programs-surveys/nsch/datasets/2016/nsch_2016_topical_SAS.zip",
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          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
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        },
        {
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          "description": "2016 NSCH Topical Data FIles in  Stata  format",
          "accessURL": "https://www.census.gov/programs-surveys/nsch/data/datasets.html",
          "downloadURL": "https://www2.census.gov/programs-surveys/nsch/datasets/2016/nsch_2016_topical_Stata.zip",
          "format": "Stata",
          "mediaType": "Stata",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-04-08",
          "describedBy": {
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            "accessURL": "https://www2.census.gov/programs-surveys/nsch/technical-documentation/codebook/2016-NSCH-Topical-Variable-List.pdf",
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          },
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        },
        {
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          "description": "2017 NSCH Screener Data FIles in  SAS format",
          "accessURL": "https://www.census.gov/programs-surveys/nsch/data/datasets.html",
          "downloadURL": "https://www2.census.gov/programs-surveys/nsch/datasets/2017/nsch_2017_screener_SAS.zip",
          "format": "SAS",
          "mediaType": "SAS",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-03-07",
          "describedBy": {
            "@type": "Document",
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            "title": "2017 NSCH - Screener Variable List"
          },
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        },
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          "downloadURL": "https://www2.census.gov/programs-surveys/nsch/datasets/2017/nsch_2017_screener_Stata.zip",
          "format": "Stata",
          "mediaType": "Stata",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-03-07",
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          "downloadURL": "https://www2.census.gov/programs-surveys/nsch/datasets/2023/nsch_2023e_screener_SAS.zip",
          "format": "SAS",
          "mediaType": "SAS",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-09-16",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www2.census.gov/programs-surveys/nsch/technical-documentation/codebook/2023-NSCH-Screener-Variable-List.pdf",
            "title": "2023 NSCH - Screener Variable List"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "NSCH 2023 Screener Data and Input Files (Stata)",
          "description": "2023 NSCH Screener Data FIles in  Stata format",
          "accessURL": "https://www.census.gov/programs-surveys/nsch/data/datasets.html",
          "downloadURL": "https://www2.census.gov/programs-surveys/nsch/datasets/2023/nsch_2023e_screener_Stata.zip",
          "format": "Stata",
          "mediaType": "Stata",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-09-16",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www2.census.gov/programs-surveys/nsch/technical-documentation/codebook/2023-NSCH-Screener-Variable-List.pdf",
            "title": "2023 NSCH - Screener Variable List"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "NSCH 2023 Topical Data and Input Files (SAS)",
          "description": "2023 NSCH Topical Data FIles in  SAS format",
          "accessURL": "https://www.census.gov/programs-surveys/nsch/data/datasets.html",
          "downloadURL": "https://www2.census.gov/programs-surveys/nsch/datasets/2023/nsch_2023e_topical_SAS.zip",
          "format": "SAS",
          "mediaType": "SAS",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-09-16",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www2.census.gov/programs-surveys/nsch/technical-documentation/codebook/2023-NSCH-Topical-Variable-List.pdf",
            "title": "2023 NSCH - Topical Variable List"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "NSCH 2023 Topical Data and Input Files (Stata)",
          "description": "2023 NSCH Topical Data FIles in  Stata  format",
          "accessURL": "https://www.census.gov/programs-surveys/nsch/data/datasets.html",
          "downloadURL": "https://www2.census.gov/programs-surveys/nsch/datasets/2023/nsch_2023e_topical_Stata.zip",
          "format": "Stata",
          "mediaType": "Stata",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-09-16",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www2.census.gov/programs-surveys/nsch/technical-documentation/codebook/2023-NSCH-Topical-Variable-List.pdf",
            "title": "2023 NSCH - Topical Variable List"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "NSCH 2024 Screener Data and Input Files (SAS)",
          "description": "2024 NSCH Screener Data FIles in  SAS format",
          "accessURL": "https://www.census.gov/programs-surveys/nsch/data/datasets.html",
          "downloadURL": "https://www2.census.gov/programs-surveys/nsch/datasets/2024/nsch_2024_screener_SAS.zip",
          "format": "SAS",
          "mediaType": "SAS",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-08-26",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www2.census.gov/programs-surveys/nsch/technical-documentation/codebook/2024-NSCH-Screener-Variable-List.pdf",
            "title": "2024 NSCH - Screener Variable List"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "NSCH 2024 Screener Data and Input Files (Stata)",
          "description": "2024 NSCH Screener Data FIles in  Stata format",
          "accessURL": "https://www.census.gov/programs-surveys/nsch/data/datasets.html",
          "downloadURL": "https://www2.census.gov/programs-surveys/nsch/datasets/2024/nsch_2024_screener_Stata.zip",
          "format": "Stata",
          "mediaType": "Stata",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-08-26",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www2.census.gov/programs-surveys/nsch/technical-documentation/codebook/2024-NSCH-Screener-Variable-List.pdf",
            "title": "2024 NSCH - Screener Variable List"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "NSCH 2024 Topical Data and Input Files (SAS)",
          "description": "2024 NSCH Topical Data FIles in  SAS format",
          "accessURL": "https://www.census.gov/programs-surveys/nsch/data/datasets.html",
          "downloadURL": "https://www2.census.gov/programs-surveys/nsch/datasets/2024/nsch_2024_topical_SAS.zip",
          "format": "SAS",
          "mediaType": "SAS",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-08-26",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www2.census.gov/programs-surveys/nsch/technical-documentation/codebook/2024-NSCH-Topical-Variable-List.pdf",
            "title": "2024 NSCH - Topical Variable List"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "NSCH 2024 Topical Data and Input Files (Stata)",
          "description": "2024 NSCH Topical Data FIles in  Stata  format",
          "accessURL": "https://www.census.gov/programs-surveys/nsch/data/datasets.html",
          "downloadURL": "https://www2.census.gov/programs-surveys/nsch/datasets/2024/nsch_2024_topical_Stata.zip",
          "format": "Stata",
          "mediaType": "Stata",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-08-26",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www2.census.gov/programs-surveys/nsch/technical-documentation/codebook/2024-NSCH-Topical-Variable-List.pdf",
            "title": "2024 NSCH - Topical Variable List"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "@id": "https://www2.census.gov/programs-surveys/nsch/datasets/2016/nsch_2016_screener_SAS.zip",
          "title": "NSCH",
          "description": "National Survey of Children's Health Data Series"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-MCHB-8",
      "title": "Maternal and Infant Health Mapping Tool (MIHMT)",
      "description": "This tool is intended to serve as a key resource for exploring data on maternal and infant health in communities. This resource is not intended to be comprehensive; only publicly-available data sources at a county or location-specific level are included. States, localities, and programs may have state-level or more specific data or other sources available to them that are not included here. Users are able to upload their own data sources for their own use.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Peter LaMois",
          "hasEmail": "mailto:PLaMois@HRSA.Gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Maternal and Child Health Bureau (MCHB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Health Resources and Services Administration (HRSA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-07-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Program Data"
        }
      ],
      "keyword": [
        "Maternal & Child Health",
        "Patient Data"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://data.hrsa.gov/topics/maternal-child-health/mchb-mapping",
        "title": "Maternal and Infant Health Mapping Tool"
      },
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://data.hrsa.gov/Content/Documents/topics/MCHBExternalApplication-UserGuide.pdf",
        "title": "data.hrsa.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Maternal and Infant Health Mapping Tool",
          "description": "The Maternal and Infant Health Mapping Tool as dashboard",
          "accessURL": "https://data.hrsa.gov/topics/maternal-child-health/mchb-mapping",
          "format": "Tableau",
          "mediaType": "Tableau",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-07-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/Content/Documents/topics/MCHBExternalApplication-UserGuide.pdf",
            "title": "Mapping Tool User Guide in PDF"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-OFAAM-18",
      "title": "Planning Data set (Planning - master data setup)",
      "description": "This dataset includes Program, Funding Cycle, CAN, Legislation, CFDA, Terms and Conditions setup process.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Joanne Kong, Kerry Bonhag",
          "hasEmail": "mailto:JKong@HRSA.Gov"
        },
        {
          "@type": "Kind",
          "fn": "Joanne Kong, Kerry Bonhag",
          "hasEmail": "mailto:KBonhag@hrsa.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Federal Assistance and Acquisition Management",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Health Resources and Services Administration (HRSA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Business Operations Data"
        }
      ],
      "keyword": [
        "Grants",
        "Program Administration"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "HRSA-OFAAM-20",
      "title": "Grants",
      "description": "HRSA awards grants to assure access to essential health care for underserved populations and eliminate health disparities. Each year, HRSA makes over 5,500 grant awards. The HRSA grants data is extracted from the Electronic Handbooks (EHB) grants management and performance reporting system.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Joanne Kong, Kerry Bonhag",
          "hasEmail": "mailto:JKong@HRSA.Gov"
        },
        {
          "@type": "Kind",
          "fn": "Joanne Kong, Kerry Bonhag",
          "hasEmail": "mailto:KBonhag@hrsa.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Federal Assistance and Acquisition Management",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Health Resources and Services Administration (HRSA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-09-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Business Operations Data"
        }
      ],
      "keyword": [
        "Grants",
        "Program Administration"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://data.hrsa.gov/data/download",
        "title": "HRSA Data Warehouse"
      },
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://data.hrsa.gov/DataDownload/DD_Files/Awarded_Grants_Data_Download_Metadata.xlsx",
        "title": "data.hrsa.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Active Grants Excel",
          "description": "Active Grants Excel File",
          "accessURL": "https://data.hrsa.gov/data/download",
          "downloadURL": "https://data.hrsa.gov/DataDownload/DD_Files/EHB_ACTIVE_GRANT_FA_AGR.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-03",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/DD_Files/Active_Grants_Data_Download_Metadata.xlsx",
            "title": "Active Grants Data Dictionary"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "Active Grants CSV",
          "description": "Active Grants CSV File",
          "accessURL": "https://data.hrsa.gov/data/download",
          "downloadURL": "https://data.hrsa.gov/DataDownload/DD_Files/EHB_ACTIVE_GRANT_FA_AGR.csv",
          "format": "CSV",
          "mediaType": "CSV",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-03",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/DD_Files/Active_Grants_Data_Download_Metadata.xlsx",
            "title": "Active Grants Data Dictionary"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "Awarded Grants Excel",
          "description": "Awarded Grants Excel File",
          "accessURL": "https://data.hrsa.gov/data/download",
          "downloadURL": "https://data.hrsa.gov/DataDownload/DD_Files/FS_EHB_AWARD_GRANT_FA_AGR_MVX.xlsx",
          "format": "Excel",
          "mediaType": "Excel",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-03",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/DD_Files/Awarded_Grants_Data_Download_Metadata.xlsx",
            "title": "Awarded Grants Data Dictionary"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "Awarded Grants CSV",
          "description": "Awarded Grants CSV File",
          "accessURL": "https://data.hrsa.gov/data/download",
          "downloadURL": "https://data.hrsa.gov/DataDownload/DD_Files/FS_EHB_AWARD_GRANT_FA_AGR_MVX.csv",
          "format": "CSV",
          "mediaType": "CSV",
          "license": "https://creativecommons.org/publicdomain/zero/1.0/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-03",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.hrsa.gov/DataDownload/DD_Files/Awarded_Grants_Data_Download_Metadata.xlsx",
            "title": "Awarded Grants Data Dictionary"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "HeatRisk",
      "title": "HeatRisk",
      "description": "Use cases:\nAllow for a better understanding of future projected spatial and temporal trends of extreme heat\nIdentify areas with predicted dangerous high heat days, heat waves, and heat exposure\n\nFunction/Processing:\nHeatRisk uses many factors to create daily dynamic temperature thresholds to identify what is truly unusual and at levels that would result in increased heat-related illness and heat risk, including:\nHow unusually above normal the temperatures are at your location (is it warmer than the top 5% of hottest days in the period of record for this date?); The time of the year (for example, is this early season heat that you likely wouldn’t become used to, typical mid-summer heat, or late season heat that you may have become more used to?); The duration of unusual heat (for example, are temperatures overnight at levels that would lower heat-related illness, maintain it, or will unusually warm overnight low temperatures add to heat-related illness the next day?). These thresholds differ from one location to another, especially between cities and rural locations and in areas where elevation changes. As appropriate, these thresholds also change based on the day of year so that they are lower in the spring than in the summer, for example.\n\nHeatRisk delivers a 5-level, color coded index with each color representing a level of exposure risk associated with heat.\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "Highways",
      "title": "Proximity of Schools to Highways",
      "description": "This dataset combines locations of public schools and highway information to determine public schools located within 150 meters of specified classes of highways.\n\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "IHS152261975H70424P00020",
      "title": "American Hospital Association Hospital Survey Database",
      "description": "AHA Data represents information that is directly provided by over 6,200 hospitals and 400 health care systems. Our data covers an array of data points, including demographics, operations, service line, staffing, CEO/President, expenses, physician organization structures, beds, utilization, population health, and more\nThe AHA database provides comprehensive information about hospital services, capabilities, and capacity across the country. IHS can use this data to identify gaps in services available.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Kirk Greenway",
          "hasEmail": "mailto:kirk.greenway@ihs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Public Health Support (OPHS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Indian Health Service (IHS)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "restricted public",
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.ahadata.com/",
        "title": "ahadata.com"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "American Hospital Association"
        }
      ],
      "creator": {
        "@type": "Agent",
        "name": "American Hospital Association"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "CONTRACT-IHS152261975H70424P00020",
          "type": "purchased data asset ID"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "Influenza Hospitalization Surveillance Network (FluSurv-NET) | FluView | CDC",
      "title": "FluSurv-NET Rates and Clinical Data",
      "description": "This dataset includes hospitalization rates and selected clinical characteristics from FluSurv-NET for laboratory-confirmed influenza-associated hospitalizations. The data can be used to examine hospitalization burden, patient characteristics, clinical outcomes, and trends over time across FluSurv-NET surveillance sites.\nData are preliminary and subject to change as more data become available. Data will be updated weekly.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "RESP-NET",
          "hasEmail": "mailto:resp-net@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)/Influenza Division (ID)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-31",
      "issued": "2022-10-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "hospitalizations",
        "respiratory illness",
        "respiratory disease",
        "rates by race and ethnicity",
        "rate",
        "hospitalization rate",
        "hospitalization",
        "age-adjusted rates by race and ethnicity",
        "age-adjusted rates",
        "influenza virus",
        "respiratory virus response",
        "influenza",
        "flusurvnet",
        "flusurv-net",
        "surveillance"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "Lab Radon",
      "title": "Lab Indoor Air Radon Testing Results",
      "description": "Information collected as part of radon test results covers the date and location the test was performed, the value of the test result, characteristics of where in the structure the test was conducted, characteristics of the structure the test was conducted in, and characteristics of the reason the test was conducted.\nPlease see the links below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=31&selectedIndicatorId=144\nhttps://github.com/CDCgov/EPHTracking",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "Legionellosis Surveillance and Trends | Legionella | CDC",
      "title": "Legionellosis Surveillance and Trends",
      "description": "Legionnaires' Disease in the United States: 2000-2025 and Legionnaires' Disease by State: 2014-2025",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-DBD",
          "hasEmail": "mailto:pneumonia-strep@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "MERRA-2",
      "title": "MERRA-2 Daily Air Quality",
      "description": "Use cases: This indicator can help public health practitioners, policymakers, and the public assess potential exposures to criteria air pollutants across space and over time. Annual average values may shed light on chronic exposures that are associated with cancer, cardiopulmonary diseases, and other negative health outcomes. Daily estimates can be used to track short-term exposures that could result in acute health problems and associated outcomes like emergency department visits and hospitalizations. Hourly estimates can be used for day-to-day planning of outdoor activities and helping at-risk individuals understand when they should avoid going outdoors, if possible. They can also be used in emergency response tracking hazardous air quality events like wildfires or industrial incidents. In addition to understanding the year-to-year impact of air pollution, being able to track changes in air quality hour by hour can be useful in event planning, emergency response, and assessing the impact of hazardous events. Seeing how air quality is changing in real time is important to understand the best ways to protect those at risk from poor air quality and inform policies and decision making.\n\nAdditionally, long-term exposure to PM2.5 is correlated with a number of adverse health effects. Each 10 µg/m3 elevation in PM2.5 is associated with an 8% increase in lung cancer deaths, a 6% increase in cardiopulmonary deaths, and a 4% increase in death from general causes. The annual average of PM2.5 provides an indication of the long-term trends in overall burden, relevant to the long-term health effects.\n\nProcessing/Background:\nThe MERRA-2 output is publicly released at an hourly resolution on a 0.5^o latitude × 0.625^o longitude grid (approximately 50 km × 50 km). Using values describing surface level conditions, average hourly values for PM2.5 (and constituents), CO, and SO2 were calculated within each county by intersecting grid cells with county boundaries and weighting values weighted based on their proportional overlap with the county.\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=11&selectedIndicatorId=203",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "MODIS",
      "title": "MODIS Daily Flooding",
      "description": "Use cases: By providing information on the location of floods and the population affected, this indicator empowers authorities to plan and coordinate evacuations and to find suitable shelter locations more efficiently. It can also improve the allocation of emergency preparedness, response, and recovery resources, such as personnel, equipment, and supplies, to areas likely to be affected by flooding.\n\nProcessing/Background:\nGridded flood data are acquired daily from NASA's Land, Atmosphere Near Real-time Capability for Earth Observing Systems (LANCE). Incorporated data reflect flood conditions for a composite of the previous 2 days in the United States(including Puerto Rico). Raster values describe several ground-level conditions: permanent water, land with no flooding, land with recurring flooding, and land with unusual flooding. This indicator quantifies both recurring and unusual flooding.\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=36&selectedIndicatorId=217",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "Monthly Heat",
      "title": "Monthly heat forecast",
      "description": "Use cases:\nAllow for a better understanding of future projected spatial and temporal trends of extreme heat\nIdentify areas with predicted dangerous high heat days, heat waves, and heat exposure\n\nData Products:\n1- and 3- month Heat Risk Supplementary Data: For every NWS 1-month tercile temperature forecast, generate a supplementary dataset that projects the number of heat waves associated with the tercile forecast, along with additional measures of heat wave intensity and duration\n\n1-month Heat Risk Outlook Graphics (PNGs): A set of static national-level maps showing the various predicted indicator data for heat waves and red threshold days, for the forecast month. The map data will be aggregated to county for easier consumption by end users and can be inserted into PDFs and supported by expert narrative, to provide a comprehensive outlook in support of decision-making. A set of \"middle tercile\" indicator maps will also be created for each month to provide a baseline for comparison\n\n1-month Heat Risk Viewer: An interactive map application with information about the number and intensity of heat waves (Product A), with the ability for users to zoom to states or counties and query all available attributes of projected heat wave intensity and exposure. The interactive tool should allow users to visualize the corresponding CPC monthly forecast (forecast tercile for each county) and provide comparative indicator values from the \"middle tercile\" for comparison\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "NATA",
      "title": "National-Scale Air Toxics Assessment",
      "description": "In its 2019 release, AirToxScreen released data on 180 pollutants. The value added by the Tracking Network is the complex processing and focused display of total cancer risk and the current 7 pollutants that contribute the most to cancer risk at the national scale as well as the display of census tract resolution data, historical data, and summary measures of exposure and cancer risk. Please see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=25&selectedIndicatorId=175",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "NLDAS",
      "title": "North American Land Data Assimilation System (NLDAS)",
      "description": "Use cases:\nMonitoring spatial and temporal patterns of extreme heat and temperature; Monitoring spatial and temporal patterns of extreme precipitation; Linking to health outcome data\n\nThe 90th, 95th, 98th, and 99th percentile values of the daily heat or precipitation metrics were determined for each county and census tract. Extreme heat days are classified according to the following thresholds: (1) absolute (e.g., 90°F, 95°F, 100°F, 105°F) and (2) relative (e.g., 90th, 95th, 98th, and 99th percentile) values. Extreme heat events are periods in which an absolute or relative threshold is surpassed for a duration of at least 2 or 3 consecutive days (specific value can be selected in the advanced options). Annual values for extreme heat events represent the total number of days in which an extreme heat event was ongoing. Extreme precipitation days are defined for each combination of the following thresholds: absolute (e.g., 0.01 inches, 1 inch, 2 inches, or 3 inches) or relative (e.g., 90th, 95th, 98th, and 99th percentile values). Monthly average daily total precipitation (in inches) is also calculated for each county.\n\nProcessing/Background:\nThese measures are derived from the Forcing File A of Phase 2 of the North American Land Data Assimilation System (NLDAS-2). NLDAS-2 is available at the 1/8th-degree grid (approximately 14x14 km) and consists of 103,936 grid cells that cover the entire United States, excluding Alaska and Hawaii. The gridded raw data were summarized to the U.S. county or census tract level to aid in estimating population exposure to high temperature, heat index, or extreme precipitation conditions and to enable linkage with health-related datasets.\nPlease see the links below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=35&selectedIndicatorId=173\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=36&selectedIndicatorId=108",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "NPCR/SEER",
      "title": "Sub-County Level National Program of Cancer Registries/NCI's Surveillance, Epidemiology and End Results Program",
      "description": "Through NPCR, CDC supports central cancer registries in 46 states, the District of Columbia, Puerto Rico, the US Pacific Island Jurisdictions, and the US Virgin Islands. These data represent 97% of the US population. Together, NPCR and the National Cancer Institute's (NCI's) Surveillance, Epidemiology, and End Results (SEER) Program collect cancer data for the entire US population.\nLink to aggregation methodology for subcounty geography of submitted data: https://github.com/CDCgov/EPHTracking-Subcounty\nPlease see the links below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=9&selectedIndicatorId=19\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=9&selectedIndicatorId=23",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "NPCR/SEER24",
      "title": "National Program of Cancer Registries/NCI's Surveillance, Epidemiology and End Results Program (24 month file)",
      "description": "Through NPCR, CDC supports central cancer registries in 46 states, the District of Columbia, Puerto Rico, the US Pacific Island Jurisdictions, and the US Virgin Islands. These data represent 97% of the US population. Together, NPCR and the National Cancer Institute's (NCI's) Surveillance, Epidemiology, and End Results (SEER) Program collect cancer data for the entire US population.\nPlease see the links below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=9&selectedIndicatorId=19\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=9&selectedIndicatorId=23",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "National Molecular Surveillance of Mycobacterium tuberculosis complex in the USA",
      "title": "National Molecular Surveillance of Mycobacterium tuberculosis complex in the USA",
      "description": "Raw reads of Mycobacterium tuberculosis complex from the national molecular surveillance in the USA",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCHHSTP Policy",
          "hasEmail": "mailto:nchhstppolicy@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for HIV, Viral Hepatitis, STD and TB Prevention (NCHHSTP), Division of Tuberculosis Elimination (DTBE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2026-03-24",
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/1442143",
        "title": "ncbi.nlm.nih.gov"
      },
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/1442143",
        "title": "ncbi.nlm.nih.gov"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "National Survey of Children's Health (NSCH) | MCHB",
      "title": "National Survey of Children's Health",
      "description": "The NSCH supports national efforts to improve the health and development of our children. We fund and direct the NSCH. The U.S. Census Bureau conducts this household survey each year. The survey provides national and state level data for key measures of child health and well-being. These data are essential to understanding the health status and health services needs of children across the nation and in your state and community.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "HRSA",
          "hasEmail": "mailto:nsch@hrsa.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "HRSA",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "Online Tuberculosis Information System (OTIS) Data",
      "title": "Online Tuberculosis Information System (OTIS) Data",
      "description": "The Online Tuberculosis Information System (OTIS) contains information on verified tuberculosis (TB) cases reported to the Centers for Disease Control and Prevention (CDC) by state health departments, the District of Columbia and Puerto Rico. These data were extracted from the CDC national TB surveillance system. Each year these data are updated with an additional year of cases plus revisions to cases reported in previous years.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCHHSTP Policy",
          "hasEmail": "mailto:nchhstppolicy@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for HIV, Viral Hepatitis, STD and TB Prevention (NCHHSTP), Division of Tuberculosis Elimination (DTBE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://wonder.cdc.gov/tb.html",
        "title": "wonder.cdc.gov"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "PWSInventory",
      "title": "Public Water System (PWS) Inventory",
      "description": "The data provides valuable information like identifying code, year, name, county, city, population served, and general location of water system with latitude and longitude. With this information a user can link the drinking water sampling results to the system they came from and map this data.\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "Parks",
      "title": "Access to Parks",
      "description": "This dataset combines demographic information with park and other recreational locations to estimate populations living within two specified buffer zones of an identified park or recreational location. Additional data stratification is allowed by race/ethnicity breakdowns.\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "Poweroutage",
      "title": "Real-time Power Outage Data from Poweroutage.us",
      "description": "These data provide immediate insights into areas affected by power loss, enabling faster and more efficient emergency response. These data can help to prioritize resource allocation and ensure special populations, such as those reliant on electrically powered medical equipment, receive timely assistance. These data can be used to help assess community health impacts, coordinate medical and emergency services, and improve resilience to such events. Finally, these data can be used to target investments to strengthen grid resilience.\n\nThe PowerOutage.us dataset focuses on three main elements: geography, outage counts, and time. Geographic identifiers such as state, county, and utility service territory provide the spatial context for analysis. Outage metrics including total customers served, customers without power, and percent of customers out, are the critical measures for understanding impact and making comparisons across regions. These metrics are tied to timestamps that record when data was last updated, enabling both real-time tracking and historical replay of events. Supplementary variables such as utility name, estimated restoration times, and outage causes add valuable context but are secondary to the essential structure of location, outage magnitude, and time.\n\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=42&selectedIndicatorId=229",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "SPEI",
      "title": "Standardized Precipitation Evapotranspiration Index (SPEI)",
      "description": "The Tracking Network processes SPEI/USDM data to display near real-time weekly measures (counties currently experiencing drought) to long term summary measures on historical drought (total number and percent of weeks a county was in drought over the long term, total number and percent of weeks and maximum number of consecutive weeks a county was in drought by year.) Please see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=25&selectedIndicatorId=175",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "SUBC_AS-ED",
      "title": "Sub-county Asthma ED Visits",
      "description": "The data are used to calculate annual counts, crude rates, and adjusted rates of asthma ED visits at a sub-county level.\nLink to aggregation methodology for subcounty geography of submitted data: https://github.com/CDCgov/EPHTracking-Subcounty\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=3&selectedIndicatorId=90",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "SUBC_MI-HOSP",
      "title": "Sub-county Acute Myocardial Infarction Hospitalizations",
      "description": "The data are used to calculate annual counts, crude rates, and adjusted rates of heart attack hospitalizations at a subcounty level.\nLink to aggregation methodology for subcounty geography of submitted data: https://github.com/CDCgov/EPHTracking-Subcounty\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=4&selectedIndicatorId=36",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "Schools",
      "title": "Access to Public Schools",
      "description": "This dataset combines demographic information with public schools to estimate school-aged children (Age 5-17) living within two specified buffer zones of an identified public school.\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "State Radon",
      "title": "State Indoor Air Radon Testing Results",
      "description": "Information collected as part of radon test results covers the date and location the test was performed, the value of the test result, characteristics of where in the structure the test was conducted, characteristics of the structure the test was conducted in, and characteristics of the reason the test was conducted.\nPlease see the links below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=31&selectedIndicatorId=141\nhttps://github.com/CDCgov/EPHTracking",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "Stroke SOC",
      "title": "Stroke Systems of Care",
      "description": "This dataset identifies state laws that use pre-hospital policy, in-hospital policy, and other legal authority interventions for timely and adequate stroke care. This data is available for all 50 U.S. states and Washington, D.C., and includes state laws in effect as of December 2018. Policy surveillance of stroke systems of care laws supported by best available evidence can reveal potential strengths and weaknesses in how stroke care delivery is regulated across the nation.\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=4&selectedIndicatorId=170",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "TB PACTS TB-1001, ClinicalTrials.gov NCT00023335",
      "title": "TBTC Study 22: Efficacy of Once-Weekly Rifapentine and Isoniazid in Treatment of Tuberculosis",
      "description": "1,075 study participants in dataset. Randomized, clinical trial comparing a once-weekly, rifapentine-based, continuation-phase regimen to twice-weekly, rifampin-based \"Denver\" regimen, both given for the last 4 months of the 6-month treatment for TB.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCHHSTP Policy",
          "hasEmail": "mailto:nchhstppolicy@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for HIV, Viral Hepatitis, STD and TB Prevention (NCHHSTP), Division of Tuberculosis Elimination (DTBE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Tuberculosis",
        "Mycobacterium Infections",
        "Gram-Positive Bacterial Infections",
        "Respiratory Tract Infections",
        "Lung Diseases",
        "Respiratory Tract Diseases",
        "Tuberculosis",
        "Pulmonary",
        "Rifapentine",
        "Isoniazid"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        },
        {
          "@type": "Location",
          "prefLabel": "Canada"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://clinicaltrials.gov/study/NCT00023335",
        "title": "clinicaltrials.gov"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "TB PACTS TB-1006, ClinicalTrials.gov NCT00140309",
      "title": "TBTC Study 27: Moxifloxacin vs Ethambutol for TB Treatment",
      "description": "336 study participants in dataset. Placebo-controlled factorial study, randomized to study drug (moxifloxacin vs. ethambutol) and treatment frequency (daily vs. thrice weekly after an initial two weeks of daily therapy) during the first two months of standard treatment (with isoniazid, rifampin, and pyrazinamide) for sputum smear-positive pulmonary tuberculosis.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCHHSTP Policy",
          "hasEmail": "mailto:nchhstppolicy@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for HIV, Viral Hepatitis, STD and TB Prevention (NCHHSTP), Division of Tuberculosis Elimination (DTBE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "TB",
        "Pulmonary Tuberculosis",
        "Tuberculosis",
        "Pulmonary TB"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Canada"
        },
        {
          "@type": "Location",
          "prefLabel": "South Africa"
        },
        {
          "@type": "Location",
          "prefLabel": "Uganda"
        },
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://clinicaltrials.gov/study/NCT00140309",
        "title": "clinicaltrials.gov"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "TB PACTS TB-1009, ClinicalTrials.gov NCT00144417",
      "title": "TBTC Study 28: Moxifloxacin Versus Isoniazid for TB Treatment",
      "description": "439 study particpants in dataset. Double-blind, randomized controlled trial evaluates moxifloxacin versus isoniazid in daily treatment during the first two months of treatment with rifampin, pyrazinamide and ethambutol for sputum smear-positive pulmonary tuberculosis.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCHHSTP Policy",
          "hasEmail": "mailto:nchhstppolicy@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for HIV, Viral Hepatitis, STD and TB Prevention (NCHHSTP), Division of Tuberculosis Elimination (DTBE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "tuberculosis",
        "TB",
        "treatment",
        "efficacy",
        "safety"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Brazil"
        },
        {
          "@type": "Location",
          "prefLabel": "Canada"
        },
        {
          "@type": "Location",
          "prefLabel": "South Africa"
        },
        {
          "@type": "Location",
          "prefLabel": "Spain"
        },
        {
          "@type": "Location",
          "prefLabel": "Uganda"
        },
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://clinicaltrials.gov/study/NCT00144417",
        "title": "clinicaltrials.gov"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "TB PACTS TB-1010, ClinicalTrials.gov NCT00694629",
      "title": "TBTC Study 29: Rifapentine During Intensive Phase Tuberculosis (TB) Treatment",
      "description": "531 study participants in dataset. Phase 2, multicenter, open-label clinical trial evaluated the antimicrobial activity and safety of rifapentine-containing regimens during the intensive phase of pulmonary tuberculosis treatment. Participants were randomized to receive either a standard rifampin-based regimen (RHZE) or a rifapentine-substituted regimen (PHZE). Primary endpoint was sputum culture conversion at 8 weeks.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCHHSTP Policy",
          "hasEmail": "mailto:nchhstppolicy@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for HIV, Viral Hepatitis, STD and TB Prevention (NCHHSTP), Division of Tuberculosis Elimination (DTBE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "pulmonary tuberculosis treatment"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Brazil"
        },
        {
          "@type": "Location",
          "prefLabel": "Canada"
        },
        {
          "@type": "Location",
          "prefLabel": "South Africa"
        },
        {
          "@type": "Location",
          "prefLabel": "Spain"
        },
        {
          "@type": "Location",
          "prefLabel": "Uganda"
        },
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://clinicaltrials.gov/study/NCT00694629",
        "title": "clinicaltrials.gov"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "TB PACTS TB-1013, ClinicalTrials.gov NCT00694629",
      "title": "TBTC Study 29X: Rifapentine During Intensive Phase Tuberculosis (TB) Treatment",
      "description": "334 study participants in dataset. Extension study of TB PACTS TB-1010, ClinicalTrials.gov NCT00694629 to evaluate higher daily doses of rifapentine (10, 15, and 20 mg/kg).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCHHSTP Policy",
          "hasEmail": "mailto:nchhstppolicy@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for HIV, Viral Hepatitis, STD and TB Prevention (NCHHSTP), Division of Tuberculosis Elimination (DTBE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "pulmonary tuberculosis treatment"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Brazil"
        },
        {
          "@type": "Location",
          "prefLabel": "Canada"
        },
        {
          "@type": "Location",
          "prefLabel": "South Africa"
        },
        {
          "@type": "Location",
          "prefLabel": "Spain"
        },
        {
          "@type": "Location",
          "prefLabel": "Uganda"
        },
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://clinicaltrials.gov/study/NCT00694629",
        "title": "clinicaltrials.gov"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "TB PACTS TB-1017, ClinicalTrials.gov NCT00023452",
      "title": "TBTC Study 26: Effectiveness and Tolerability of Weekly Rifapentine/Isoniazid for 3 Months Versus Daily Isoniazid for 9 Months for the Treatment of Latent Tuberculosis Infection",
      "description": "8,593 study participants in dataset. Open-label, multi-center, Phase III clinical trial to compare the effectiveness and tolerability of a three-month (12-dose) regimen of weekly rifapentine and isoniazid (3RPT/INH) to the effectiveness of a nine-month (270-dose)regimen of daily isoniazid (9INH) to prevent tuberculosis (TB) among high-risk tuberculin skin-test reactors, including children and HIV-infected persons, who require treatment of latent TB infection (LTBI).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCHHSTP Policy",
          "hasEmail": "mailto:nchhstppolicy@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for HIV, Viral Hepatitis, STD and TB Prevention (NCHHSTP), Division of Tuberculosis Elimination (DTBE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Latent TB infection"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Brazil"
        },
        {
          "@type": "Location",
          "prefLabel": "Canada"
        },
        {
          "@type": "Location",
          "prefLabel": "Spain"
        },
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://clinicaltrials.gov/study/NCT00023452",
        "title": "clinicaltrials.gov"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "TB PACTS TB-1034, ClinicalTrials.gov NCT01582711",
      "title": "TBTC Study 33. An Evaluation of Adherence to Latent Tuberculosis Infection (LTBI) Treatment With 12 Doses of Once Weekly Rifapentine (RPT) and Isoniazid (INH) Given as Self-administered (SAT) Versus Directly-observed Therapy (DOT): iAdhere.",
      "description": "1,002 study participants in dataset. Open label, multicenter, randomized (three arms: DOT (standard control), SAT, SAT with SMS reminders) controlled clinical trial. The trial is conducted in patients diagnosed with latent tuberculosis infection (LTBI) who are recommended for treatment. Primary objective is to evaluate adherence to a three-month (12-dose) regimen of weekly rifapentine and isoniazid (3RPT/INH) given by directly observed therapy (DOT) compared to self-administered therapy (SAT).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCHHSTP Policy",
          "hasEmail": "mailto:nchhstppolicy@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for HIV, Viral Hepatitis, STD and TB Prevention (NCHHSTP), Division of Tuberculosis Elimination (DTBE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "LTBI",
        "LTB",
        "Latent TB",
        "TB infection"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "China"
        },
        {
          "@type": "Location",
          "prefLabel": "South Africa"
        },
        {
          "@type": "Location",
          "prefLabel": "Spain"
        },
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://clinicaltrials.gov/study/NCT01582711",
        "title": "clinicaltrials.gov"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "Tribal Radon",
      "title": "Tribal Radon Air Testing Results",
      "description": "Information collected as part of radon test results covers the date and location the test was performed, the value of the test result, characteristics of where in the structure the test was conducted, characteristics of the structure the test was conducted in, and characteristics of the reason the test was conducted.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "USDM",
      "title": "The United States Drought Monitor (USDM)",
      "description": "The Tracking Network processes SPEI/USDM data to display near real-time weekly measures (counties currently experiencing drought) to long term summary measures on historical drought (total number and percent of weeks a county was in drought over the long term, total number and percent of weeks and maximum number of consecutive weeks a county was in drought by year.) Please see the link below for data details: \nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=25&selectedIndicatorId=175",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "UV Irradiance",
      "title": "Surface UV Irradiance",
      "description": "Monitoring, collecting, and disseminating this data is the first step in to develop policies and educational resources that can help prevent negative consequences of excess exposure.\n\nUse Cases:\nUnderstand how irradiance levels are changing across US counties and over time; Track environmental trends in irradiance to identify areas where intensity may be increasing; Provide data to equip public health officials with knowledge necessary to implement interventions for populations living in regions of high exposure.\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=26&selectedIndicatorId=174",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "VA",
      "title": "Department of Veterans Affairs (VA) Syndromic Heat Related Illness data (HRI)",
      "description": "Use cases:\nAssessing the severity of an ongoing heat event; Providing evidence for needing response resources for Veterans (e.g., requesting additional cooling center hours or water distribution sites); Preparing emergency department personnel for visit surges during severe, prolonged heat waves; Providing education to Veterans about risk and prevention of HRI\n\nHeat-related illness (HRI) has been documented among Veterans, with upward trends noted in the past decade. Increases in the rates of ED visits for HRI are one potential impact of increasingly frequent and intense heat waves and can be a surrogate indicator for risks to Veterans - particularly those who are at higher risk of HRI - over time, in different geographic areas, and throughout heat seasons. This can be helpful for clinicians, hospital administrators, and others to understand healthcare burden due to HRI.\n\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages?selectedContentAreaAbbreviation=35&selectedIndicatorId=89",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "WQL",
      "title": "Drinking Water Quality Sampling Results",
      "description": "Data contains samples for arsenic, nitrates, haloacetic acids, total trihalomethanes, atrazine, DEHP, PCE, TCE, radium, and uranium.  \nPlease see the links below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages\nhttps://github.com/CDCgov/EPHTracking",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "WQL-PB",
      "title": "Lead in Drinking Water",
      "description": "Use Cases:\nThis data provides information on the percent of community water systems and the percent of people (derived from the population served by the community water system) potentially exposed to lead at different concentrations.\nConcentrations at the community water system level provide information on potential exposure at a smaller geographic scale.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "WWI",
      "title": "Well Water Index (WWI)",
      "description": "The Tracking Program used nationally consistent, publicly available, sub-county data to build Overall, Drought, Flood, and Wildfire WWIs at the national and state scales. The WWI fills a gap as it provides a baseline understanding of potential impacts from contamination exacerbated by weather to communities reliant on private well water across CONUS. Data will be available as a download through data.cdc.gov as well as the Tracking Network.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "Weekly Temp",
      "title": "Weekly Temperature National Centers for Environmental Information (NCEI) nCLIMGRID dataset",
      "description": "Use cases:\nMonitoring spatial and temporal patterns of extreme heat and temperature.\n\nData processing:\nThis measure is derived from the National Oceanic and Atmospheric Administration’s (NOAA’s) National Centers for Environmental Information (NCEI) nCLIMGRID dataset (https://www1.ncdc.noaa.gov/pub/data/daily-grids/). The dataset contains 5km gridded fields of daily maximum, minimum, and average temperature and daily precipitation amount for the contiguous United States between January 1, 1951 and the present. Gridded maximum temperature data are ingested and converted to the Fahrenheit scale each day. A 7-day average is then generated for each grid cell in the contiguous United States (Alaska and Hawaii data are not available). All 7 days must be available before an average is taken. The 7-day averages are then aggregated to U.S. counties, using a point-in-polygon approach. The measure is updated weekly.\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Indicators for 2022",
      "identifier": "a01c53ef-a80b-47b6-b60a-7524df81d8c8",
      "description": "The CY 2022 Medicare Physician Fee Schedule updates various related policies and CPT/HCPCS codes for the new calendar year.  This includes implementing all recent legislation directed by Congress starting January 1, 2022 and the upcoming conversion factor of $34.6062.  The Geographic Practice Cost Index (GPCI) work floor of 1.0 continues to be extended through the end of CY 2023.  Medicare co-insurance for certain colorectal cancer screening tests will begin its phased in waiver. Mental Health services through telehealth will be expanded following the end of the PHE.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P3M",
      "issued": "2021-12-16T06:00:00Z",
      "modified": "2022-10-01T05:00:00Z",
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "keyword": [
        "indicators",
        "2022"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2022-09-12.csv"
        }
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "2006 Physician Fee Schedule Data",
      "distribution": [
        {
          "title": "Localities table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2006.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "a04662f6-a75f-4c20-8945-c54b9147002d",
      "keyword": [
        "2006",
        "localities"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2006-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2006",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2021 Child and Adult Health Care Quality Measures Quality",
      "identifier": "a058ef78-e18b-4435-94aa-b70ab6ce5904",
      "description": "Performance rates on frequently reported health care quality measures in the CMS Medicaid/CHIP Child and Adult Core Sets, for FFY 2021 reporting.\r\n\r\nSource: Mathematica analysis of MACPro and Form CMS-416 reports for the FFY 2021 reporting cycle. Dataset revised September 2023. For more information, see the Children's Health Care Quality Measures and Adult Health Care Quality Measures webpages.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2023-09-11T14:26:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Quality"
      ],
      "keyword": [
        "Performance Rates",
        "Core Sets",
        "Quality Measures"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/2021-child-and-adult-health-care-quality-measures_0.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/e8a2863c-6a99-498d-8e9d-0ebc4e90c8ff",
            "title": "data.medicaid.gov"
          }
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2020"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "All general (non-research, non-ownership related) payments from the 2020 program year [January 1 – December 31, 2020] <p><strong>NOTE:</strong> This is a very large file and, depending on your network characteristics and software, may take a long time to download or fail to download. Additionally, the number of rows in the file may be larger than the maximum rows your version of <a href=\"https://support.microsoft.com/en-us/office/excel-specifications-and-limits-1672b34d-7043-467e-8e27-269d656771c3\">Microsoft Excel</a> supports. If you can't download the file, we recommend engaging your IT support staff. If you are able to download the file but are unable to open it in MS Excel or get a message that the data has been truncated, we recommend trying alternative programs such as MS Access, Universal Viewer, Editpad or any other software your organization has available for large datasets.</p>",
      "distribution": [
        {
          "title": "General Payment Data – Detailed Dataset 2020 Reporting Year",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/PGYR2020_P06302026_06032026/OP_DTL_GNRL_PGYR2020_P06302026_06032026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://openpaymentsdata.cms.gov/api/1/metastore/schemas/data-dictionary/items/71ec19df-f5ef-5b99-b43b-e566e22670b7",
            "title": "openpaymentsdata.cms.gov"
          },
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "a08c4b30-5cf3-4948-ad40-36f404619019",
      "title": "2020 General Payment Data",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-01",
          "endDate": "2020-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "General Payments"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "a0cb-cdab",
      "title": "Hospitalist Office Visit Costs",
      "description": "Returns hospitalist office visit costs per zip code for new and established patients.",
      "keyword": [
        "Hospitalist"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/c4108689fb48c020be17efd2697fc7f6_1722902735/Hospitalist.csv",
          "mediaType": "text/csv",
          "title": "Hospitalist.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Hospitalist Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/a0cb-cdab"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "PY 2024 Clinician Public Reporting: Overall MIPS Performance",
        "accessURL": "https://data.cms.gov/provider-data/dataset/a174-a962"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-08-17",
      "@type": "Dataset",
      "modified": "2026-08-18",
      "released": "2026-09-10",
      "keyword": [
        "MIPS",
        "Quality Payment Program",
        "Clinicians",
        "APM",
        "Performance",
        "Quality"
      ],
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:QPP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "a174-a962",
      "description": "This file contains Merit-Based Incentive Payment System (MIPS) Final Scores and performance category scores for clinicians. For further details on 2024 MIPS scoring, see the 2024 Traditional MIPS Scoring Guide.",
      "title": "PY 2024 Clinician Public Reporting: Overall MIPS Performance",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/6b9e57db797c95853b034b329b1212b2_1787091345/ec_score_file.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/physician/DOC_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Doctors and clinicians"
      ],
      "archiveExclude": false,
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_measure_allStates_download",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2022-05-09T16:47:48Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_allStates_download csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20220509_ETL_DEV/measure_allStates_download.csv",
          "description": "{\"dataset\": \"measure_allStates_download\", \"stage\": \"devAuto\", \"update_id\": \"20220509_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "a1a4d739-514c-5952-a6e0-8bc9a2bb2709",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2023 Medical SHOP",
      "identifier": "a1e624b6-764b-449f-ae88-05aacd5162cd",
      "description": "The Medical SHOP Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2023-08-09T04:00:00Z",
      "modified": "2023-08-16T04:00:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "SHOP Market Medical",
        "QHP",
        "QHP Landscape Instructions",
        "SHOP",
        "PY2023"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2023/med-shop-lndscp-in.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2018",
      "identifier": "a1f3598e-fc71-51aa-8560-78e7e1a61b09",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2018-07-16T20:24:17Z",
      "modified": "2026-04-03T13:49:18Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2018.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 20210920 to 20210926",
      "identifier": "a211a52d-278d-4509-87a9-cdc6af256f31",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2021-10-13T07:43:13Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rpt-drugs-sept-20210920-to-20210926.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NADAC Comparison",
      "identifier": "a217613c-12bc-5137-8b3a-ada0e4dad1ff",
      "description": "The NADAC Weekly Comparison identifies the drug products with current NADAC rates that are replaced with new NADAC rates.  Other changes (e.g. NDC additions and terminations) to the NADAC file are not reflected in this comparison.\n\nNote: Effective Date was not recorded in the dataset until 6/7/2017",
      "accessLevel": "public",
      "issued": "2015-08-19T22:29:45Z",
      "modified": "2026-09-22T11:25:05Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "National Average Drug Acquisition Cost (NADAC)",
        "Comparison"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/nadac-comparison-09-23-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/71030135-eef9-46b2-9d13-e401008e0fc6",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2021"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2021 payments grouped by reporting entities and nature of payments",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_AMGPO_BY_NTR_OF_PYMT_PGYR2021_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "a2714020-f599-52b0-b12b-8f5b510e547a",
      "title": "2021 payments grouped by reporting entities and nature of payments",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2021-01-01",
          "endDate": "2021-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_measure_allStates",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2026-02-02T20:37:24Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_allStates csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20260120_e2e_ETL_DEV/measure_allStates.csv",
          "description": "{\"dataset\": \"measure_allStates\", \"stage\": \"devAuto\", \"update_id\": \"20260120_e2e_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "a29cf229-575a-531a-adaa-cf3dbf77defd",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard pillar v3.9.138 (Implementation)",
      "identifier": "a2c8ca85-8fd0-5a5d-8cca-b034c49d713a",
      "modified": "2026-09-22T14:10:10Z",
      "distribution": [
        {
          "title": "Scorecard pillar v3.9.138 (Implementation)",
          "description": "Scorecard pillar v3.9.138 (Implementation)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.138/20260922/pillar.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan Attributes PUF - PY2021",
      "identifier": "a2km-i629",
      "description": "The Plan Attributes PUF (Plan-PUF) is one of the files that make up the Marketplace PUF. The Plan-PUF contains plan-level data on maximum out of pocket payments, deductibles, cost sharing, health savings account (HSA) eligibility, formulary ID, and other plan attributes. These data either originate from the Plans &amp; Benefits template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated). The issuer can also import data created in other templates (e.g., Network IDs from the Network ID template, Service Area IDs from the Service Area template, and Formulary IDs from the Prescription Drug template) to use as allowable values for the applicable fields in the Plans &amp; Benefits template, or enter these values manually.",
      "accessLevel": "public",
      "issued": "2020-10-09T15:48:42Z",
      "modified": "2021-08-11T12:54:03Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andy Elkins",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/plan-attributes-puf-2021.a2km-i629.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/4b9bcd48-0d26-456f-9709-0799957d3292",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2018 Individual Dental",
      "identifier": "a2tn-wyd5",
      "description": "2018 Plan Year Individual Dental Landscape",
      "accessLevel": "public",
      "issued": "2017-10-24T14:27:31Z",
      "modified": "2019-02-18T23:24:09Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "qhp"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/qhp-py2018-dent-indi-land-10-18-2017.a2tn-wyd5.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/4ddca1dc-f598-4772-a72e-25ac020b81f1",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "a35h-9yn4",
      "title": "Commercial Medical Insurance (MSCANCC) - Vision and Eye Health Surveillance",
      "description": "2016, 2020, 2021, 2022, 2023. This dataset is a de-identified summary table of prevalence rates for vision and eye health data indicators from the 2016 MarketScanÂ® Commercial Claims and Encounters Data (CCAE) is produced by Truven Health Analytics, a division of IBM Watson Health.  The CCEA data contain a convenience sample of insurance claims information from person with employer-sponsored insurance and their dependents, including 43.6 million person years of data. Prevalence estimates are stratified by all available combinations of age group, sex, and state.  Detailed information on VEHSS MarketScan analyses can be found on the VEHSS MarketScan webpage (cdc.gov/visionhealth/vehss/data/claims/marketscan.html). Information on available Medicare claims data can be found on the IBM MarketScan website (https://marketscan.truvenhealth.com). The VEHSS MarketScan summary dataset was last updated 2025.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vision and Eye Health Surveillance System",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Diabetes Translation (DDT)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-01-12",
      "issued": "2019-08-12",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vision & Eye Health"
        }
      ],
      "keyword": [
        "service utilization",
        "diagnosed prevalence",
        "eye exams",
        "truven",
        "marketscan",
        "medical diagnoses",
        "claims"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "DDT Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Commercial Medical Insurance (MSCANCC) - Vision and Eye Health Surveillance",
          "description": "2016, 2020, 2021, 2022, 2023. This dataset is a de-identified summary table of prevalence rates for vision and eye health data indicators from the 2016 MarketScanÂ® Commercial Claims and Encounters Data (CCAE) is produced by Truven Health Analytics, a division of IBM Watson Health.  The CCEA data contain a convenience sample of insurance claims information from person with employer-sponsored insurance and their dependents, including 43.6 million person years of data. Prevalence estimates are stratified by all available combinations of age group, sex, and state.  Detailed information on VEHSS MarketScan analyses can be found on the VEHSS MarketScan webpage (cdc.gov/visionhealth/vehss/data/claims/marketscan.html). Information on available Medicare claims data can be found on the IBM MarketScan website (https://marketscan.truvenhealth.com). The VEHSS MarketScan summary dataset was last updated 2025.",
          "accessURL": "https://data.cdc.gov/d/a35h-9yn4",
          "downloadURL": "https://data.cdc.gov/Vision-Eye-Health/Commercial-Medical-Insurance-MSCANCC-Vision-and-Ey/a35h-9yn4/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-01-12",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/a35h-9yn4",
            "title": "Commercial Medical Insurance (MSCANCC) - Vision and Eye Health Surveillance"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "prodAuto_files_stateSnapshot",
      "identifier": "a3adef5c-97e9-52e0-8c4b-b2dcb8e8eca9",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "modified": "2022-10-06T21:06:57Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "DataConnect Support Team",
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "files_stateSnapshot csv file",
          "description": "{\"dataset\": \"files_stateSnapshot\", \"stage\": \"prodAuto\", \"update_id\": \"20220921_v2_ETL_DEV\"}",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20220921_v2_ETL_DEV/files_stateSnapshot.csv"
        }
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Number of pregnant and postpartum Medicaid and CHIP beneficiaries, 2017-2021",
      "identifier": "a4035a82-7433-4efb-985d-32a9ab8e5341",
      "description": "This table presents the number of pregnant and postpartum Medicaid and CHIP beneficiaries, 2017-2021. It includes (1) the number and percentage of beneficiaries ever pregnant in the year; (2) the number and percentage of live births in the year; (3) the number and percentage of miscarriages, stillbirths, or terminations in the year; and (4) the number and percentage of births with an unknown delivery outcome in the year.\n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues, making the data unusable for identifying this population. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \n\nData from Maryland, Tennessee, and Utah are omitted from the tables due to data quality concerns. Maryland was excluded in 2017 due to unusable diagnosis codes in the IP file and the OT file. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2020. In addition, states with a high data quality concern on one or more measures are noted in the table in the \"Data Quality\" column. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T18:30:59Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Maternal Health",
        "Pregnancy",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Number of pregnant and postpartum Medicaid and CHIP beneficiaries, 2017-2021",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/pregnent-postpartum-beneficiaries-2017to2021.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSEt pillar v2.10.6 (coreset-etl-test)",
      "modified": "2024-10-24T17:50:24Z",
      "distribution": [
        {
          "title": "CoreSEt pillar v2.10.6 (coreset-etl-test)",
          "description": "CoreSEt pillar v2.10.6 (coreset-etl-test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.6/20241023/pillar.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "a462b2cc-d767-5975-8c8d-9e7493c3112d",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "featAuto_concernLevel",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-09-25T14:18:32Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_featAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "concernLevel csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20250924_ETL_DEV/concernLevel.csv",
          "description": "{\"dataset\": \"concernLevel\", \"stage\": \"featAuto\", \"update_id\": \"20250924_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "a49b8d56-2f5a-5990-a1a3-bc154ca04570",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "prodAuto_topicArea_measureDisplayGroups",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-13T13:41:41Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "topicArea_measureDisplayGroups csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/topicArea_measureDisplayGroups.csv",
          "description": "{\"dataset\": \"topicArea_measureDisplayGroups\", \"stage\": \"prodAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "a4d6c830-21c6-5194-81b3-e69a3606ac78",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2024 Child and Adult Health Care Quality Measures Quality",
      "identifier": "a5023394-ab10-465b-bb4a-7de5ac98d90c",
      "description": "Performance rates on publicly reported health care quality measures in the CMS Medicaid/CHIP Child and Adult Core Sets, for 2024 reporting.\r\n\r\nSources: Mathematica analysis of (1) Quality Measure Reporting (QMR) system reports, (2) Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) data; and (3) National Core Indicators (NCI) data submitted by states to the National Association of State Directors of Developmental Disabilities Services (NASDDDS) and the Human Services Research Institute (HSRI) (The NCI National Team) through the Online Data Entry System (ODESA). Agency for Healthcare Research and Quality (AHRQ) and Centers for Medicare & Medicaid Services (CMS) analysis of the AHRQ CAHPS Database. Dataset revised September 2025. For more information, see the Children's Health Care Quality Measures and Adult Health Care Quality Measures webpages.",
      "accessLevel": "public",
      "issued": "2025-09-22T08:28:13Z",
      "modified": "2025-09-22T14:26:03Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Quality"
      ],
      "keyword": [
        "Performance Rates",
        "Core Sets",
        "Quality Measures"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/2024-child-and-adult-health-care-quality-measures.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6856f506-d0ba-4e8b-8c2a-4eb3d4e5b2b9",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Exclusive Pediatric Drugs",
      "identifier": "a54d7605-b780-4cf0-b53d-50313798f528",
      "description": "Exclusively Pediatric (EP) designation allows for a minimum rebate percentage of 17.1 percent of Average Manufacturer Price (AMP) for single source and innovator multiple source drugs.  ",
      "accessLevel": "public",
      "issued": "2022-10-07T11:53:17Z",
      "modified": "2026-08-10T23:03:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/ep-drugs-08092026.2.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/d2678dc3-6ddc-4cbb-aa84-e2b25418ce2c",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "Hospice CAHPS Help Desk",
        "hasEmail": "mailto:hospicecahpssurvey@hsag.com"
      },
      "description": "This data set contains state average (mean) scores of Medicare-certified hospice providers on the Consumer Assessment of Healthcare Providers and Systems (CAHPS®) Hospice Survey measures.",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/7bdf3430fad11692724a5509423f3285_1786385147/State_CAHPS_Hospice_Survey_Data_Aug2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospice/HOSPICE_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "a55e-5b88",
      "issued": "2026-08-07",
      "keyword": [
        "Patient Survey",
        "State",
        "Average",
        "CAHPS",
        "Patient Experience of Care"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Hospice care - State CAHPS Hospice Survey Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/a55e-5b88"
      },
      "modified": "2026-08-07",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "released": "2026-08-26",
      "theme": [
        "Hospice care"
      ],
      "title": "Hospice care - State CAHPS Hospice Survey Data",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 03-11-2024-to-03-17-2024",
      "identifier": "a5c46841-e9c1-4293-bfd3-6e4948a367f2",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2024-03-18T16:07:17Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 03-11-2024-to-03-17-2024",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-03-11-2024-to-03-17-2024.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          }
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-05-08-to-2023-05-14",
      "identifier": "a6001b78-982f-4238-ba22-a022db235c1e",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-05-15",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-05-08-to-2023-05-14",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-5-08-2023-to-5-14-2023.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "implAuto_measure_allStates_downloadLink",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-05T18:10:13Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_implAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_allStates_downloadLink csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/measure_allStates_downloadLink.csv",
          "description": "{\"dataset\": \"measure_allStates_downloadLink\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "a66fa666-3854-5bc3-b8f8-9367a10cb40f",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Managed Care Features by Quality-related Requirements",
      "identifier": "a6d2c261-210d-587c-8fa4-892444b7de42",
      "description": "2024 Managed Care Features by Quality-related Requirements\n\nThe Managed Care Features by Quality Requirements and Performance Incentives table (Table 8 in the Enrollment Report) lists the total number of managed care programs by type (comprehensive managed care, PCCM, dental, etc.) and lists the number of managed care programs by type providing a variety of features, including quality and data collection, performance incentives, and provider value-based purchasing status.\n\n2023 Managed Care Features by Quality-related Requirements\n\nThe Managed Care Features by Quality Requirements and Performance Incentives table (Table 8 in the Enrollment Report) lists the total number of managed care programs by type (comprehensive managed care, PCCM, dental, etc.) and lists the number of managed care programs by type providing a variety of features, including quality and data collection, performance incentives, and provider value-based purchasing status.",
      "accessLevel": "public",
      "issued": "2018-07-11T16:31:30Z",
      "modified": "2026-02-12T12:56:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/managed-care-features-by-qa-and-performance-incentive.2024-table8.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard measure_value v3.9.137 (CMS Development)",
      "identifier": "a7145ad2-4779-506c-8823-7651a651e031",
      "modified": "2026-09-21T13:32:15Z",
      "distribution": [
        {
          "title": "Scorecard measure_value v3.9.137 (CMS Development)",
          "description": "Scorecard measure_value v3.9.137 (CMS Development)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.137/20260918/measure_value.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2023 Managed Care Programs By State",
      "identifier": "a760aac0-5148-43e9-900a-bb128e667218",
      "description": "The Managed Care Program Features lists characteristics of each state’s Medicaid managed care programs, including federal operating authority, population enrolled, and benefits covered.",
      "accessLevel": "public",
      "modified": "2026-02-12T19:57:15Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/managed-care-program-by-state-2023.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard pillar v3.9.137 (ETL Test)",
      "identifier": "a7c8e38d-baa6-5f37-b1ce-5ce1a55a36e7",
      "modified": "2026-09-21T03:25:08Z",
      "distribution": [
        {
          "title": "Scorecard pillar v3.9.137 (ETL Test)",
          "description": "Scorecard pillar v3.9.137 (ETL Test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.137/20260918/pillar.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Number and rate of SMM among Medicaid- and CHIP-covered deliveries, 2017 - 2021",
      "identifier": "a7cc2aff-8d01-4f68-9ef9-313693f90ce5",
      "description": "This table presents the number of beneficiaries with a delivery, the number of beneficiaries with any SMM condition, and the rate of SMM conditions per 10,000 deliveries, 2017 - 2021.\n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues, making the data unusable for identifying this population. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \n\nData from Maryland, Tennessee, and Utah are omitted from the tables due to data quality concerns. Maryland was excluded in 2017 due to unusable diagnosis codes in the IP file and the OT file. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2020. In addition, states with a high data quality concern on one or more measures are noted in the table in the \"Data Quality\" column. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T20:42:38Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Maternal Health",
        "Pregnancy",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Number and rate of SMM among Medicaid- and CHIP-covered deliveries, 2017 - 2021",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/num-rate-smm-med-chip-cov-deliveries-2017-to-2021.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/d8d69ed2-4666-4585-a2f4-e774faaf22e4",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-09-25-to-2023-10-01",
      "identifier": "a8366086-07bb-4e1e-b019-744984e6764d",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-10-02T04:00:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-09-25-to-2023-10-01",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-09-25-2023-to-10-01-2023.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt measure_value v2.10.16 (coreset-dev0)",
      "identifier": "a8647354-7dcb-5949-9582-b40e7a985bef",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-12T22:24:57Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt measure_value v2.10.16 (coreset-dev0)",
          "description": "CoreSEt measure_value v2.10.16 (coreset-dev0)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.16/20241029/measure_value.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-12-18-to-2023-12-24",
      "identifier": "a86dfb1d-0cf8-45e6-a875-9aed4d430ae7",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-10-17T20:55:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-12-18-to-2023-12-24",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-12-18-2023-to-12-24-2023_10172025.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "Payment files reflect a change in the conversion factor as a result of the Preservation of Access to Care for Medicare Beneficiaries and Pension Relief Act of 2010, which President Obama signed into law on June 25, 2010. This legislation provides for a 2.2 percent update to the 2010 Medicare Physician Fee Schedule (MPFS), effective for dates of service June 1, 2010, through November 30, 2010. For 2010A: Payment files reflect changes as a result of practice expense (PE) and malpractice (MP) relative value unit (RVU) corrections and provisions of the Patient Protection and Affordable Care Act (the Affordable Care Act), as modified by the Health Care and Education Reconciliation Act of 2010, which President Obama signed into law on March 23, 2010, and March 30, 2010, respectively.",
      "distribution": [
        {
          "title": "Localities table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities210a.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "a8ef4669-df31-4963-8c80-756c0a09793c",
      "keyword": [
        "2010A",
        "localities"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-06-30T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2010A",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Machine Readable PUF - PY2023",
      "identifier": "a96baa25-9d80-49b3-9339-97e6726e9d81",
      "description": "The Machine Readable PUF (MR-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The MR-PUF contains issuer-level URL locations for machine-readable network provider and formulary information.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2023-03-17T04:00:00Z",
      "modified": "2023-03-22T13:12:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Machine Readable",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2023"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "xlsx",
          "downloadURL": "https://data.healthcare.gov/datafile/py2023/machine_readable_puf.xlsx"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2020"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "Ownership Payment Data - Detailed Dataset 2020 Reporting Year\nAll ownership and investment payments from the 2020 program year [January 1 – December 31, 2020]",
      "distribution": [
        {
          "title": "Ownership Payment Data - Detailed Dataset 2020 Reporting Year",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/PGYR2020_P06302026_06032026/OP_DTL_OWNRSHP_PGYR2020_P06302026_06032026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://openpaymentsdata.cms.gov/api/1/metastore/schemas/data-dictionary/items/0b7b03cb-835c-50c4-abbb-5a311eb91858",
            "title": "openpaymentsdata.cms.gov"
          },
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "a9a0bf48-6b96-4589-b4c2-3c5dcfbeaca2",
      "title": "2020 Ownership Payment Data",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-01",
          "endDate": "2020-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Ownership Payments"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2022-02-07 to 2022-02-13",
      "identifier": "a9a9fa75-a438-4c86-ae2b-361f22fee182",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-10-17T14:19:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rpt-drugs-feb-02-07-22-02-13-22-10172025.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2014",
      "identifier": "a9cfe5e9-d7d8-5b87-a7db-b45a7daf84fc",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-01T02:28:14Z",
      "modified": "2026-04-03T04:31:11Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2014.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2023 Medical SHOP",
      "identifier": "aa2cf0c7-ff39-484a-9472-764e243ffea9",
      "description": "The Medical SHOP Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2023-08-09T04:00:00Z",
      "modified": "2023-08-16T04:00:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "SHOP Market Medical",
        "QHP",
        "QHP Landscape",
        "SHOP",
        "PY2023"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "zip",
          "downloadURL": "https://data.healthcare.gov/datafile/py2023/shop_market_medical.zip"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "all years"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "National level payment total and averages for all years",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_NTNL_SMRY_P06302026_06032026-joined.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "aaaddc12-a3a7-4cc5-9c12-4a726317aa1c",
      "title": "National level payment total and averages for all years",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-01",
          "endDate": "2023-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2022-03-07 to 2022-03-13",
      "identifier": "aab40af5-2e31-478c-be9b-9475f919e9c7",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2022-03-14T12:56:03Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rpt-drugs-mar-03-07-2022-03-13-2022.csv"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "The Medicare Physician Fee Schedule update factor for 2019 is 0.25% and the conversion factor is 36.0391.",
      "distribution": [
        {
          "title": "Localities table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2019.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "aacaa046-79d6-41dc-9ce4-8ad0afd4d0c8",
      "keyword": [
        "2019",
        "localities"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-01-01",
          "endDate": "2019-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2019",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Business Rules PUF - PY2023",
      "identifier": "ab6b8ea6-fdd8-4eb6-9fe6-7a93aca92b46",
      "description": "The Business Rules PUF (BR-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The BR-PUF contains plan-level data on rating business rules, such as maximum age for a dependent and allowed dependent relationships.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2023-08-09T04:00:00Z",
      "modified": "2023-08-16T04:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Business Rules",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2023"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2023/business_rules_puf.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e326ff8a-2f4c-4f20-8033-2175e67ac6dd",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt measure_value v2.10.22 (coreset-impl)",
      "identifier": "abb567c0-42bd-5851-870e-8dad158d97e2",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-15T00:26:11Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt measure_value v2.10.22 (coreset-impl)",
          "description": "CoreSEt measure_value v2.10.22 (coreset-impl)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/2.10.22/20241029/measure_value.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "MLR RY2017 Socrata Dataset 20181031",
      "identifier": "abhi-yds7",
      "description": "This file contains Medical Loss Ratio data for the 2017 Reporting Year, including the issuer’s MLR, the MLR standard, and the average rebate per person by state and market.",
      "accessLevel": "public",
      "issued": "2018-12-04T15:27:28Z",
      "modified": "2018-12-26T13:43:38Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Donte Morrisette",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "theme": [
        "MLR"
      ],
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/mlr-ry2017-socrata-dataset-20181031.abhi-yds7.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/ae26b41c-5c2c-43d5-afa0-e8a559651be3",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2023"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "Ownership Payment Data - Detailed Dataset 2023 Reporting Year\nAll ownership and investment payments from the 2023 program year [January 1 – December 31, 2023]",
      "distribution": [
        {
          "title": "Ownership Payment Data - Detailed Dataset 2023 Reporting Year",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/PGYR2023_P06302026_06032026/OP_DTL_OWNRSHP_PGYR2023_P06302026_06032026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://openpaymentsdata.cms.gov/api/1/metastore/schemas/data-dictionary/items/0b7b03cb-835c-50c4-abbb-5a311eb91858",
            "title": "openpaymentsdata.cms.gov"
          },
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "ac0bc85c-02e3-45d9-89e8-2ff43da85df7",
      "title": "2023 Ownership Payment Data",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2023-01-01",
          "endDate": "2023-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Ownership Payments"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Beneficiaries receiving a physical health service among beneficiaries receiving a SUD service by physical health cond, 2017-2021",
      "identifier": "ac553cd4-63eb-44d4-9946-f29c0ccc1838",
      "description": "This table presents beneficiaries who received a service for a physical health condition among beneficiaries who received a service for a substance use disorder, by physical health condition, 2017-2021.\n\nSome states have serious data quality issues, making the data unusable for identifying this population. To assess data quality, analysts used measures featured in the DQ Atlas. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional, Gender, Age, Zip code, Race and ethnicity, Eligibility group code, Enrollment in CMC Plans. \n\nData from Maryland, Tennessee, and Utah are omitted for the tables due to data quality concerns. Maryland was excluded in 2017 due to unusable diagnosis codes in the IP file and the OT file. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2020. In addition, states with a high data quality concern on one or more measures are noted in the table in the \"Data Quality\" column. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T17:06:30Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Substance Use Disorder Physical Health Condition",
        "Behavioral Health Care",
        "Integrated Care",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Beneficiaries receiving a physical health service among beneficiaries receiving a SUD service by physical health cond, 2017-2021",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/benf-recvin-phys-health-among-ben-recv-sud-2017-2021.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6c6cea33-d3ce-41fb-955e-4704f4c90fe2",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2022 Managed Care Programs By State",
      "identifier": "ac74549c-a621-4f6b-a42d-1a05bc0eb5a3",
      "description": "Dataset.",
      "accessLevel": "public",
      "modified": "2024-10-16T20:22:18Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/2022-Managed-care-prgrm-features-by-state.csv"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 1992",
      "identifier": "acbd1537-69b8-548d-a90f-eedb416acd71",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T14:25:57Z",
      "modified": "2026-04-03T14:04:11Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-1992.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2025"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2025 payments grouped by reporting entities, covered recipient, and nature of payments",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_AMGPO_BY_CR_BY_NTR_OF_PYMT_PGYR2025_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "acc6e57c-baa0-47e5-b966-1661257df905",
      "title": "2025 payments grouped by reporting entities, covered recipient, and nature of payments",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2025-01-01",
          "endDate": "2025-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0001",
      "title": "A Comparative Study of the Use and Effectiveness of Different Risk Assessment Models in CPS Decision Making Processes",
      "description": "Three risk assessment models will be evaluated, using data collected on cases from three sites. In addition to the primary study of objectives of assessing reliability and validity of existing risk assessment models, the researchers will use the data collected to develop the optimal risk instrument for each site and for all sites combined. Investigators will use statistical analyses to determine the influence of various agency and worker factors on outcomes. Cultural differences will be given special emphasis. Sites will be chosen to ensure numbers sufficient to analyze system model performance with African Americans, Hispanics, and Caucasians. Researchers will make an effort to obtain a significant American Indian population.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "county"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "A Comparative Study of the Use and Effectiveness of Different Risk Assessment Models in CPS Decision Making Processes - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=84"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0002",
      "title": "AFCARS Foster Care File, 6-month periods (FY2010A - 2016B)",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "AFCARS Foster Care File, 6-month periods (FY2010A - 2016B) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-6month.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=207"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0003",
      "title": "AFCARS Foster Care File, 6-month periods (FY2016A - 2022B)",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all children in foster care for whom the State child welfare agencies have responsibility for placement, care or supervision and on children who are adopted under the auspices of the State's public child welfare agency. AFCARS also includes information on foster and adoptive parents. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site. AFCARS reporting periods are tied to the federal fiscal year (October 1 to September 30). The foster care data files contain information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and some data on the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "AFCARS Foster Care File, 6-month periods (FY2016A - 2022B) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-6month.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=277"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0004",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2000",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
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      "publisher": {
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        "child welfare"
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      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2000 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-adoption.cfm"
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      "distribution": [
        {
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      ],
      "inventoried": "2026-09-27"
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      "@type": "Dataset",
      "identifier": "acf-cb-0005",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2001",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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      "spatial": [
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        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2001 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-adoption.cfm"
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      "distribution": [
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      ],
      "inventoried": "2026-09-27"
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      "@type": "Dataset",
      "identifier": "acf-cb-0006",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2002",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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      "@type": "Dataset",
      "identifier": "acf-cb-0007",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2003",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-adoption.cfm"
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      ],
      "inventoried": "2026-09-27"
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    {
      "@type": "Dataset",
      "identifier": "acf-cb-0008",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2004",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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      "inventoried": "2026-09-27"
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      "identifier": "acf-cb-0009",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2005",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-adoption.cfm"
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      ],
      "inventoried": "2026-09-27"
    },
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      "@type": "Dataset",
      "identifier": "acf-cb-0010",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2006",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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      ],
      "inventoried": "2026-09-27"
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      "identifier": "acf-cb-0011",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2007",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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      "identifier": "acf-cb-0012",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2008",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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      ],
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    {
      "@type": "Dataset",
      "identifier": "acf-cb-0013",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2009",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
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          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2009 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-adoption.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=152"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0014",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2010",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2010 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-adoption.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=164"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0015",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2011",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
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        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2011 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-adoption.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=168"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0016",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2012",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
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          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
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      ],
      "publisher": {
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        ]
      },
      "accessRights": "public",
      "keyword": [
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      "theme": [
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        }
      ],
      "spatial": [
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2012 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-adoption.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=177"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0017",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2013",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
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        }
      ],
      "publisher": {
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      "keyword": [
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        }
      ],
      "spatial": [
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2013 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-adoption.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=190"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0018",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2014",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
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      ],
      "publisher": {
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      },
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      "keyword": [
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      ],
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        }
      ],
      "spatial": [
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2014 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-adoption.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0019",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2015",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
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      "publisher": {
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        }
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      "spatial": [
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2015 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-adoption.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=201"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0020",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2016",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
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        }
      ],
      "publisher": {
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      "spatial": [
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2016 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-adoption.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=216"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0021",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2017",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
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          }
        ]
      },
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      "keyword": [
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      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2017 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-adoption.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=226"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0022",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2018",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2018 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-adoption.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=240"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0023",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2019",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
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            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2019 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-adoption.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=241"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0024",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2020",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (https://www.acf.hhs.gov/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
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          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
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        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
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        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
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          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2020 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-adoption.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=258"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0025",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2021",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (https://www.acf.hhs.gov/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
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          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
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      ],
      "publisher": {
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        ]
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      "accessRights": "public",
      "keyword": [
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      "theme": [
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          "@type": "Concept",
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        }
      ],
      "spatial": [
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          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File FY2021 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-adoption.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=275"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0026",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), FY1995",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
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      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), FY1995 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=73"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0027",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), FY1996",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
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        ]
      },
      "accessRights": "public",
      "keyword": [
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      "theme": [
        {
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        }
      ],
      "spatial": [
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          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), FY1996 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=80"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0028",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), FY1997",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
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      ],
      "publisher": {
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        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
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            "name": "Administration for Children and Families (ACF)"
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        ]
      },
      "accessRights": "public",
      "keyword": [
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      "theme": [
        {
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          "prefLabel": "human services"
        }
      ],
      "spatial": [
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), FY1997 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=82"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0029",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), FY1998",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
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        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
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          }
        ]
      },
      "accessRights": "public",
      "keyword": [
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      ],
      "theme": [
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        }
      ],
      "spatial": [
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), FY1998 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=86"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0030",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), FY1999",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), FY1999 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=91"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0031",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care AB File FY2018",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision, regardless of eligibility for Title IV-E funds. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. An interactive AFCARS dashboard that summarizes and displays national and state foster care data by fiscal year is available from the Children's Bureau Web site (https://acf.gov/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes a foster care data file for each fiscal year, as well as updates for previous years, if applicable. The foster care data files contain 104 variables that provide information on child demographics, the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents. The AB file format differs from the annual format. The annual files were constructed using the “A” and “B” periods of the respective FY, plus the “A” period of the following FY. Including the subsequent “A” period allowed the capture of reports that may have happened, but had not been resolved, by the end of the FY. The AB file is constructed with only the “A” and “B” periods of the nominal FY. In all other ways, it is identical and undergoes the same cleaning and processing steps as the annual file. This means, however, that aggregate counts derived from an AB file may yield artificially lower counts compared to analogous counts from a previous years’ annual file.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care AB File FY2018 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=298"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0032",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care AB File FY2019",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision, regardless of eligibility for Title IV-E funds. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. An interactive AFCARS dashboard that summarizes and displays national and state foster care data by fiscal year is available from the Children's Bureau Web site (https://acf.gov/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes a foster care data file for each fiscal year, as well as updates for previous years, if applicable. The foster care data files contain 104 variables that provide information on child demographics, the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents. The AB file format differs from the annual format. The annual files were constructed using the “A” and “B” periods of the respective FY, plus the “A” period of the following FY. Including the subsequent “A” period allowed the capture of reports that may have happened, but had not been resolved, by the end of the FY. The AB file is constructed with only the “A” and “B” periods of the nominal FY. In all other ways, it is identical and undergoes the same cleaning and processing steps as the annual file. This means, however, that aggregate counts derived from an AB file may yield artificially lower counts compared to analogous counts from a previous years’ annual file.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care AB File FY2019 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=299"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0033",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care AB File FY2020",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision, regardless of eligibility for Title IV-E funds. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. An interactive AFCARS dashboard that summarizes and displays national and state foster care data by fiscal year is available from the Children's Bureau Web site (https://acf.gov/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes a foster care data file for each fiscal year, as well as updates for previous years, if applicable. The foster care data files contain 104 variables that provide information on child demographics, the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents. The AB file format differs from the annual format. The annual files were constructed using the “A” and “B” periods of the respective FY, plus the “A” period of the following FY. Including the subsequent “A” period allowed the capture of reports that may have happened, but had not been resolved, by the end of the FY. The AB file is constructed with only the “A” and “B” periods of the nominal FY. In all other ways, it is identical and undergoes the same cleaning and processing steps as the annual file. This means, however, that aggregate counts derived from an AB file may yield artificially lower counts compared to analogous counts from a previous years’ annual file.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care AB File FY2020 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=300"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0034",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care AB File FY2021",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision, regardless of eligibility for Title IV-E funds. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. An interactive AFCARS dashboard that summarizes and displays national and state foster care data by fiscal year is available from the Children's Bureau Web site (https://www.acf.hhs.gov/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes a foster care data file for each fiscal year, as well as updates for previous years, if applicable. The foster care data files contain 104 variables that provide information on child demographics, the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents. The AB file format differs from the annual format. The annual files were constructed using the “A” and “B” periods of the respective FY, plus the “A” period of the following FY. Including the subsequent “A” period allowed the capture of reports that may have happened, but had not been resolved, by the end of the FY. The AB file is constructed with only the “A” and “B” periods of the nominal FY. In all other ways, it is identical and undergoes the same cleaning and processing steps as the annual file. This means, however, that aggregate counts derived from an AB file may yield artificially lower counts compared to analogous counts from a previous years’ annual file.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care AB File FY2021 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=301"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0035",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care AB File FY2022",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision, regardless of eligibility for Title IV-E funds. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. An interactive AFCARS dashboard that summarizes and displays national and state foster care data by fiscal year is available from the Children's Bureau Web site (https://acf.gov/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes a foster care data file for each fiscal year, as well as updates for previous years, if applicable. The foster care data files contain 104 variables that provide information on child demographics, the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents. The AB file format differs from the annual format. The annual files were constructed using the “A” and “B” periods of the respective FY, plus the “A” period of the following FY. Including the subsequent “A” period allowed the capture of reports that may have happened, but had not been resolved, by the end of the FY. The AB file is constructed with only the “A” and “B” periods of the nominal FY. In all other ways, it is identical and undergoes the same cleaning and processing steps as the annual file. This means, however, that aggregate counts derived from an AB file may yield artificially lower counts compared to analogous counts from a previous years’ annual file.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care AB File FY2022 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=302"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0036",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care AB File FY2023",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision, regardless of eligibility for Title IV-E funds. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. An interactive AFCARS dashboard that summarizes and displays national and state foster care data by fiscal year is available from the Children's Bureau Web site (https://acf.gov/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes a foster care data file for each fiscal year, as well as updates for previous years, if applicable. The foster care data files contain 104 variables that provide information on child demographics, the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents. The AB file format differs from the annual format. The annual files were constructed using the “A” and “B” periods of the respective FY, plus the “A” period of the following FY. Including the subsequent “A” period allowed the capture of reports that may have happened, but had not been resolved, by the end of the FY. The AB file is constructed with only the “A” and “B” periods of the nominal FY. In all other ways, it is identical and undergoes the same cleaning and processing steps as the annual file. This means, however, that aggregate counts derived from an AB file may yield artificially lower counts compared to analogous counts from a previous years’ annual file.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care AB File FY2023 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=303"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0037",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care AB File FY2024",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision, regardless of eligibility for Title IV-E funds. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. An interactive AFCARS dashboard that summarizes and displays national and state foster care data by fiscal year is available from the Children's Bureau Web site (https://acf.gov/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes a foster care data file for each fiscal year, as well as updates for previous years, if applicable. The foster care data files contain 104 variables that provide information on child demographics, the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents. The AB file format differs from the annual format. The annual files were constructed using the “A” and “B” periods of the respective FY, plus the “A” period of the following FY. Including the subsequent “A” period allowed the capture of reports that may have happened, but had not been resolved, by the end of the FY. The AB file is constructed with only the “A” and “B” periods of the nominal FY. In all other ways, it is identical and undergoes the same cleaning and processing steps as the annual file. This means, however, that aggregate counts derived from an AB file may yield artificially lower counts compared to analogous counts from a previous years’ annual file.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care AB File FY2024 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=310"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0038",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2000",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2000 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=97"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0039",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2001",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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      "spatial": [
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        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2001 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
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      "distribution": [
        {
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          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=101"
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0040",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2002",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
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      "distribution": [
        {
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0041",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2003",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
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      "distribution": [
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0042",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2004",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
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        }
      ],
      "inventoried": "2026-09-27"
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      "@type": "Dataset",
      "identifier": "acf-cb-0043",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2005",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
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      ],
      "inventoried": "2026-09-27"
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      "@type": "Dataset",
      "identifier": "acf-cb-0044",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2006",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
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      ],
      "inventoried": "2026-09-27"
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      "@type": "Dataset",
      "identifier": "acf-cb-0045",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2007",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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      ],
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      "identifier": "acf-cb-0046",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2008",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
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      ],
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    {
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      "identifier": "acf-cb-0047",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2009",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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      },
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        "child welfare"
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      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2009 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
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      "distribution": [
        {
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0048",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2010",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
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      "distribution": [
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      "inventoried": "2026-09-27"
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      "@type": "Dataset",
      "identifier": "acf-cb-0049",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2011",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
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      "distribution": [
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      ],
      "inventoried": "2026-09-27"
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      "@type": "Dataset",
      "identifier": "acf-cb-0050",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2012",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
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        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
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      "distribution": [
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      ],
      "inventoried": "2026-09-27"
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      "@type": "Dataset",
      "identifier": "acf-cb-0051",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2013",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
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      ],
      "inventoried": "2026-09-27"
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      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2014",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
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      ],
      "inventoried": "2026-09-27"
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      "identifier": "acf-cb-0053",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2015",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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      "inventoried": "2026-09-27"
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      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2016",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (https://www.acf.hhs.gov/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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      ],
      "inventoried": "2026-09-27"
    },
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      "@type": "Dataset",
      "identifier": "acf-cb-0055",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2017",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (https://www.acf.hhs.gov/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0056",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2018",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (https://www.acf.hhs.gov/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2018 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=235"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0057",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2019",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (https://www.acf.hhs.gov/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2019 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=239"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0058",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2020",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (https://www.acf.hhs.gov/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2020 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=255"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0059",
      "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2021",
      "description": "The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (https://www.acf.hhs.gov/cb). AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File FY2021 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-afcars-foster-care.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=274"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0060",
      "title": "Child and Caregiver Outcomes Using Linked Data (CCOULD)",
      "description": "The Child and Caregiver Outcomes Using Linked Data (CCOULD) project developed consistent state datasets containing linked child and caregiver welfare records and Medicaid claims and enrollment records. These datasets contain information from both child welfare and Medicaid information systems on case demographics, medical diagnoses, services, outcomes, and other relevant information. The purpose of the data is to support research on the relationships between Medicaid utilization, behavioral health services, patient-centered outcomes, and child welfare outcomes. Of particular interest are outcomes for families that may have substance use disorders, like opioid use disorder. The CCOULD project worked with Kentucky and Florida (specifically the Florida Department of Children and Families, the Florida Agency for Health Care Administration, and the Kentucky Cabinet for Health and Family Services) to produce linked, state-level data to support research on the relationships among Medicaid utilization, behavioral health services, patient-centered outcomes, and child welfare outcomes. State-level linked data were combined into a de-identified, standardized research use dataset containing data from the two participating states. Documentation for the data includes: a codebook (available upon request) for each of the data files that includes a listing of the variables in the dataset, brief descriptions of the variables, variable names, variable labels, response categories, value ranges for continuous variables, and frequency distributions for categorical variables a users’ guide that explains the background, purpose, and design of the study; the data de-identification procedures; the data limitations (e.g., missing data and tracking children who have moved to different states); and analytical considerations",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "state"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Child and Caregiver Outcomes Using Linked Data (CCOULD) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=272"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0061",
      "title": "Factors that Influence the Decision Not to Substantiate a CPS Referral",
      "description": "This federally-funded study examined factors that influenced the decision not to substantiate a child protective services (CPS) referral after a child protective services investigation in Washington State. The study was conducted in three distinct phases. Phase I: Child Protective Record Review consisted of a review of administrative records. Records were extracted from the state child protective database (CAMIS) and a rich dataset of child, family and allegation variables was created. The variables include demographic information, variables coded from the Washington Assessment of Risk Matrix (WARM) and the Modified Maltreatment Classification System (MMCS) as well as variables derived from a public assistance records match. The Phase I data file includes 2000 cases. Phase II: Child Protective Caseworker Survey was a mail and telephone survey of child protective services caseworkers in Washington State. All current child protective caseworkers in Washington State who had more than six months of job experience were invited to participate in the telephone and mail surveys. The Phase II data file includes the 106 respondents who answered both the telephone and mail surveys. Phase III: Child Protective Client Survey was a telephone survey of investigated CPS clients approximately 90 days post investigation. This dataset also includes records extracted from the state child protective database similar to those in the Phase I dataset. In addition to variables related to the interviews, the variables include demographic information, variables coded from the WARM and the Maltreatment MMCS as well as variables derived from a public assistance records match. The Phase III data includes data from 303 clients with completed interviews. The data from Phases I, II and III cannot be combined, as there is no common unit of analysis.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "state"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Factors that Influence the Decision Not to Substantiate a CPS Referral - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=107"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0062",
      "title": "Longitudinal Pathways to Resilience in Maltreated Children",
      "description": "The objectives of this study were as follows: (1) To investigate stability and change in the longitudinal course of adaptation and maladaptation in maltreated and nonmaltreated low-income youth. (2) To differentiate subgroups of maltreated children who evidence divergence in their longitudinal developmental course, including resilient children as well as children who show continuity of negative adaptation. (3) To examine child characteristics, maltreatment experiences, family features, and aspects of the social ecology as mediators and moderators of individual differences in the developmental pathways exhibited longitudinally by maltreated and nonmaltreated youth. (4) To identify factors that may promote resilient adaptation in maltreated children. To address these critical concerns, this investigation built upon a prior one-year longitudinal study funded by NCCAN (Cicchetti, Manly, & Lynch, 1994). Prospective follow-up assessments of 300 six- to twelve-year-old low income, maltreated and nonmaltreated children were targeted at years three and four beyond the initial baseline assessments. A total of 300 school-aged children were included in the original study (Dataset #096). Of these, 263 were obtained at year three and 249 at year four. Data regarding children's adaptation and current symptomatology was collected in the context of a summer camp program that the children attended. In addition, home visits were conducted concurrently with the third year child camp assessments, during which time the parent or primary caregiver of each child in the study was interviewed. Finally, information regarding children's history of maltreatment was scored from updated DSS records according to our maltreatment classification system.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "region"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Longitudinal Pathways to Resilience in Maltreated Children - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=110"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0063",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2009",
      "description": "The National Child Abuse and Neglect Data System, State Level Data (NCANDS State), FFY- 2009 dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year (FFY October 1, 2008 - September 30, 2009) rather than the calendar year.State Level records are reported for 50 cases (48 states, Washington DC, and Puerto Rico) through the Agency File, and records for 2 cases (North Dakota and Oregon) were contributed through Summary Data Component (SDC) forms. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Version Notice: The Combined Aggregate File (CAF) of past years is not archived for FFY2009. In its place are Agency and SDC files. These are the source files used in conjunction with the NCANDS Child File to derive past CAF variables.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2009 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=157"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0064",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2010",
      "description": "The National Child Abuse and Neglect Data System, State Level Data (NCANDS State), FFY- 2010 dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year (FFY October 1, 2009 - September 30, 2010) rather than the calendar year.State Level records are reported for 51 cases (49 states, Washington DC, and Puerto Rico) through the Agency File, and records for one case (Oregon) were contributed through Summary Data Component (SDC) forms. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Version Notice: The Combined Aggregate File (CAF) of past years is not archived for FFY2009 or FFY2010. In its place are Agency and SDC files. These are the source files used in conjunction with the NCANDS Child File to derive past CAF variables.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2010 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=166"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0065",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2011",
      "description": "The National Child Abuse and Neglect Data System, State Level Data (NCANDS State), FFY- 2011 dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year (FFY October 1, 2010 – September 30, 2011) rather than the calendar year. State Level records are reported for 50 cases (48 states, Washington DC, and Puerto Rico) through the Agency File, and records for one case (Oregon) were contributed through Summary Data Component (SDC) forms. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Data are provided in MS Excel spreadsheet form. Version Notice: The Combined Aggregate File (CAF) of past years is not archived for FFY2009 to FFY2011. In its place are Agency and SDC files. These are the source files used in conjunction with the NCANDS Child File to derive past CAF variables.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2011 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=175"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0066",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2012",
      "description": "The National Child Abuse and Neglect Data System, Agency File (State Summary), FFY- 2012 dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year (FFY October 1, 2011 – September 30, 2012) rather than the calendar year. State Level records are reported for 52 cases (50 states, Washington DC, and Puerto Rico) through the Agency File. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Data are provided in MS Excel (.xlsx) and tab delimited (.tab) format.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2012 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
      },
      "distribution": [
        {
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          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=186"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0067",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2013",
      "description": "The National Child Abuse and Neglect Data System, Agency File (State Summary), FFY- 2013 dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year (FFY October 1, 2012 – September 30, 2013) rather than the calendar year. State Level records are reported for 52 cases (50 states, Washington DC, and Puerto Rico) through the Agency File. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Data are provided in MS Excel (.xlsx) and tab delimited (.tab) format.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2013 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=189"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0068",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2014",
      "description": "The National Child Abuse and Neglect Data System, Agency File (State Summary), FFY- 2014 dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year (FFY October 1, 2013 – September 30, 2014) rather than the calendar year. State Level records are reported for 52 cases (50 states, Washington DC, and Puerto Rico) through the Agency File. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Data are provided in MS Excel (.xlsx) and tab delimited (.tab) format.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2014 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=196"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0069",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2015",
      "description": "The National Child Abuse and Neglect Data System, Agency File (State Summary), FFY- 2015 dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year (FFY October 1, 2014 – September 30, 2015) rather than the calendar year. State Level records are reported for 52 cases (50 states, Washington DC, and Puerto Rico) through the Agency File. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Data are provided in MS Excel (.xlsx) and tab delimited (.tab) format.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2015 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
      },
      "distribution": [
        {
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          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=206"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0070",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2016",
      "description": "The National Child Abuse and Neglect Data System, Agency File (State Summary), FFY- 2016 dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year (FFY October 1, 2015 – September 30, 2016) rather than the calendar year. State Level records are reported for 52 cases (50 states, Washington DC, and Puerto Rico) through the Agency File. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Data are provided in MS Excel (.xlsx) and tab delimited (.tab) format.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2016 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
      },
      "distribution": [
        {
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          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=211"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0071",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2017",
      "description": "The National Child Abuse and Neglect Data System, Agency File (State Summary), dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year starting October 1st and ending September 30th, rather than the calendar year. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Data are provided in MS Excel spreadsheet and SPSS (.sav) format.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
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        ]
      },
      "accessRights": "public",
      "keyword": [
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        "family support services"
      ],
      "theme": [
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      ],
      "spatial": [
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      ],
      "landingPage": {
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        "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2017 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
      },
      "distribution": [
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0072",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2018",
      "description": "The National Child Abuse and Neglect Data System, Agency File (State Summary), dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year starting October 1st and ending September 30th, rather than the calendar year. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Data are provided in MS Excel spreadsheet and SPSS (.sav) format.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
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          "prefLabel": "united states"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2018 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=234"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0073",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2019",
      "description": "The National Child Abuse and Neglect Data System, Agency File (State Summary), dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year starting October 1st and ending September 30th, rather than the calendar year. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Data are provided in MS Excel spreadsheet and SPSS (.sav) format.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
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          "@type": "Location",
          "prefLabel": "united states"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2019 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
      },
      "distribution": [
        {
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          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=244"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0074",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2020",
      "description": "The National Child Abuse and Neglect Data System, Agency File (State Summary), dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year starting October 1st and ending September 30th, rather than the calendar year. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Data are provided in MS Excel spreadsheet and SPSS (.sav) format.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2020 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=254"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0075",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2021",
      "description": "The National Child Abuse and Neglect Data System, Agency File (State Summary), dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year starting October 1st and ending September 30th, rather than the calendar year. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Data are provided in MS Excel spreadsheet and SPSS (.sav) format.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
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          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2021 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=264"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0076",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2022",
      "description": "The National Child Abuse and Neglect Data System, Agency File (State Summary), dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year starting October 1st and ending September 30th, rather than the calendar year. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Data are provided in MS Excel spreadsheet and SPSS (.sav) format.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
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      ],
      "spatial": [
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      ],
      "landingPage": {
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        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
      },
      "distribution": [
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          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=280"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0077",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2023",
      "description": "The National Child Abuse and Neglect Data System, Agency File (State Summary), dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year starting October 1st and ending September 30th, rather than the calendar year. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Data are provided in MS Excel spreadsheet and SPSS (.sav) format.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
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        "title": "National Child Abuse and Neglect Data System (NCANDS) Child File, FFY 2020 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-child-file.cfm"
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      "distribution": [
        {
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      ],
      "inventoried": "2026-09-27"
    },
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      "identifier": "acf-cb-0099",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Child File, FFY 2021",
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      ],
      "inventoried": "2026-09-27"
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      "identifier": "acf-cb-0100",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Child File, FFY 2022",
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        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-child-file.cfm"
      },
      "distribution": [
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0101",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Child File, FFY 2023",
      "description": "The National Child Abuse and Neglect Data System (NCANDS) Child File dataset consists of child-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. The Child File is the case-level component of the NCANDS. There is also an NCANDS State-level component, known as the Agency File, but those data are not part of this collection. Child File data are collected annually through the voluntary participation of States. Participating States submit their data after going through a process in which the State's administrative system is mapped to the NCANDS data structure. Submitted data consist of all investigations or assessments of alleged child maltreatment that received a disposition in the reporting year. Records are provided at the level of each child on a report, also known as the report-child pair. Data elements include the demographics of children and their perpetrators, types of maltreatment, investigation or assessment dispositions, risk factors, and services provided as a result of the investigation or assessment.",
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      },
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      ],
      "inventoried": "2026-09-27"
    },
    {
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      "identifier": "acf-cb-0102",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Combined Aggregate File (CAF) FFY 2000-2002",
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        }
      ],
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      ],
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      "distribution": [
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      ],
      "inventoried": "2026-09-27"
    },
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      "identifier": "acf-cb-0103",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Combined Aggregate File (CAF) FFY 2003",
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        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
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        }
      ],
      "inventoried": "2026-09-27"
    },
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      "identifier": "acf-cb-0104",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Combined Aggregate File (CAF) FFY 2004",
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      "contactPoint": [
        {
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        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
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      "inventoried": "2026-09-27"
    },
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      "title": "National Child Abuse and Neglect Data System (NCANDS) Combined Aggregate File (CAF) FFY 2005",
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      "inventoried": "2026-09-27"
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      "@type": "Dataset",
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      "title": "National Child Abuse and Neglect Data System (NCANDS) Combined Aggregate File (CAF) FFY 2006",
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      "contactPoint": [
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      "keyword": [
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        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
      },
      "distribution": [
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0107",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Combined Aggregate File (CAF) FFY 2007",
      "description": "The National Child Abuse and Neglect Data System (NCANDS) Combined Aggregate File (CAF) dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. The CAF is the State-level component of the NCANDS that replaced the Summary Data Component (SDC) beginning in the year 2000. The CAF is created by merging three different NCANDS data sources, the Child File, the Agency File, and the SDC, into a single dataset. NCANDS Case-level data are collected through the Child File data submission. States that submit a Child File also submit an Agency File, which collects State-level data for areas not covered in the Child File, such items as preventive services and screened-out referrals. Other States continued to submit NCANDS data using the SDC survey. Child File data are aggregated to the State-level by key variables and then combined with the data from the Agency file and the SDC to create the CAF. The number of children and families receiving preventive services, the number of reports and investigations of child abuse and neglect, the number of children who were the subjects of reports of abuse or neglect, the number of child victims of maltreatment, the number of child fatalities, the size of the State's CPS workforce, and other statistics are provided in the CAF. A variable crosswalk to the 1990-1999 SDC dataset is provided. Please note: Beginning in 2003 and for subsequent years, States submitted their data according to the Federal Fiscal Year (October 1 - September 30) rather than the calendar year.",
      "contactPoint": [
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      },
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0108",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Combined Aggregate File (CAF) FFY 2008",
      "description": "The National Child Abuse and Neglect Data System (NCANDS) Combined Aggregate File (CAF) dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. The CAF is the State-level component of the NCANDS that replaced the Summary Data Component (SDC) beginning in the year 2000. The CAF is created by merging three different NCANDS data sources, the Child File, the Agency File, and the SDC, into a single dataset. NCANDS Case-level data are collected through the Child File data submission. States that submit a Child File also submit an Agency File, which collects State-level data for areas not covered in the Child File, such items as preventive services and screened-out referrals. Other States continued to submit NCANDS data using the SDC survey. Child File data are aggregated to the State-level by key variables and then combined with the data from the Agency file and the SDC to create the CAF. The number of children and families receiving preventive services, the number of reports and investigations of child abuse and neglect, the number of children who were the subjects of reports of abuse or neglect, the number of child victims of maltreatment, the number of child fatalities, the size of the State's CPS workforce, and other statistics are provided in the CAF. A variable crosswalk to the 1990-1999 SDC dataset is provided. Please note: Beginning in 2003 and for subsequent years, States submitted their data according to the Federal Fiscal Year (October 1 - September 30) rather than the calendar year.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Abuse and Neglect Data System (NCANDS) Combined Aggregate File (CAF) FFY 2008 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=151"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0109",
      "title": "National Child Abuse and Neglect Data System (NCANDS) Summary Data Component, 1990-1999",
      "description": "The National Child Abuse and Neglect Data System (NCANDS) Summary Data Component (SDC) dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. The SDC is the State-level component of the NCANDS used from 1990-1999. There is also an NCANDS case-level component, known as the Detailed Case Data Component, but those data are not part of this collection. The SDC collects data aggregated at the State level through an annual survey. The survey asks each State to report the number of children and families receiving preventive services, the number of reports and investigations of child abuse and neglect, the number of children who were the subjects of reports of abuse or neglect, the number of child victims of maltreatment, the number of child fatalities, the size of the State's CPS workforce, and other statistics. Data for all years from 1990 to 1999 are provided in a single data file.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Abuse and Neglect Data System (NCANDS) Summary Data Component, 1990-1999 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-state-agency-file.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=98"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0110",
      "title": "National Child Abuse and Neglect Data System Detailed Case Data Component (NCANDS DCDC), 1998",
      "description": "The National Child Abuse and Neglect Data System (NCANDS) is a voluntary national data collection and analysis system created in response to the requirements of the Child Abuse Prevention and Treatment Act. The NCANDS is implemented by Walter R. McDonald and Associates, Inc. and consists of two components. The Summary Data Component (SDC) is a compilation of key aggregate child abuse and neglect statistics from all States, including data on reports, investigations, victims, and perpetrators. The Detailed Case Data Component (DCDC) is a compilation of case-level information from child protective services agencies on children who are the subjects of reports alleging child maltreatment. All fifty States and the District of Columbia participate in the SDC, however only fifteen States provided data for the DCDC in 1995. The DCDC participating states were Delaware, Florida, Illinois, Kentucky, Louisiana, Massachusetts, Missouri, North Carolina, New Jersey, Pennsylvania, South Carolina, Texas, Utah, Vermont, and Washington. A version of the 1995 NCANDS DCDC is available to the research community. The files that are available consist of selected and derived variables from the Fiscal Year 1995 NCANDS DCDC records from the fifteen DCDC participating states. These files are referred to as the NCANDS DCDC 1995 (1995 NCANDS). The 1995 NCANDS consists of 30 data files - two from each participating state. One of the two files per state contains fourteen variables and includes information about all report/child pairs of alleged maltreatment. The second file for each state contains 62 variables and includes information about all report/child pairs with substantiated or indicated maltreatment. Information is included about the types of maltreatment, the support services provided to the family, as well as caretaker, child, and family problems. Information about perpetrators of maltreatment is not included in the files. Child fatalities are not included in the data files. While the 1995 NCANDS DCDC data are not a statistically representative sample of maltreated children in the United States, they show distributions similar to those found in studies using national data. Furthermore, they provide an important opportunity to answer many questions regarding child maltreatment cases that are known to Child Protective Services. The Childrens Bureau website has a description of the NCANDS system and the downloadable Child Welfare Outcomes Reports and Child Maltreatment Reports.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "state"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Abuse and Neglect Data System Detailed Case Data Component (NCANDS DCDC), 1998 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-child-file.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=89"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0111",
      "title": "National Child Abuse and Neglect Data System Detailed Case Data Component, (NCANDS DCDC) 1999",
      "description": "The National Child Abuse and Neglect Data System (NCANDS) is a voluntary national data collection and analysis system created in response to the requirements of the Child Abuse Prevention and Treatment Act. The NCANDS is implemented by Walter R. McDonald and Associates, Inc. and consists of two components. The Summary Data Component (SDC) is a compilation of key aggregate child abuse and neglect statistics from all States, including data on reports, investigations, victims, and perpetrators. The Detailed Case Data Component (DCDC) is a compilation of case-level information from child protective services agencies on children who are the subjects of reports alleging child maltreatment. All fifty States and the District of Columbia participate in the SDC, however only fifteen States provided data for the DCDC in 1995. The DCDC participating states were Delaware, Florida, Illinois, Kentucky, Louisiana, Massachusetts, Missouri, North Carolina, New Jersey, Pennsylvania, South Carolina, Texas, Utah, Vermont, and Washington. A version of the 1995 NCANDS DCDC is available to the research community. The files that are available consist of selected and derived variables from the Fiscal Year 1995 NCANDS DCDC records from the fifteen DCDC participating states. These files are referred to as the NCANDS DCDC 1995 (1995 NCANDS). The 1995 NCANDS consists of 30 data files - two from each participating state. One of the two files per state contains fourteen variables and includes information about all report/child pairs of alleged maltreatment. The second file for each state contains 62 variables and includes information about all report/child pairs with substantiated or indicated maltreatment. Information is included about the types of maltreatment, the support services provided to the family, as well as caretaker, child, and family problems. Information about perpetrators of maltreatment is not included in the files. Child fatalities are not included in the data files. While the 1995 NCANDS DCDC data are not a statistically representative sample of maltreated children in the United States, they show distributions similar to those found in studies using national data. Furthermore, they provide an important opportunity to answer many questions regarding child maltreatment cases that are known to Child Protective Services. The Childrens Bureau website has a description of the NCANDS system and the downloadable Child Welfare Outcomes Reports and Child Maltreatment Reports.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "state"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Abuse and Neglect Data System Detailed Case Data Component, (NCANDS DCDC) 1999 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-child-file.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=90"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0112",
      "title": "National Child Abuse and Neglect Data System, Detailed Case Data Component (NCANDS DCDC), 1995-1997",
      "description": "The National Child Abuse and Neglect Data System (NCANDS) is a voluntary national data collection and analysis system created in response to the requirements of the Child Abuse Prevention and Treatment Act. The NCANDS is implemented by Walter R. McDonald and Associates, Inc. and consists of two components. The Summary Data Component (SDC) is a compilation of key aggregate child abuse and neglect statistics from all States, including data on reports, investigations, victims, and perpetrators. The Detailed Case Data Component (DCDC) is a compilation of case-level information from child protective services agencies on children who are the subjects of reports alleging child maltreatment. All fifty States and the District of Columbia participate in the SDC, however only fifteen States provided data for the DCDC in 1995. The DCDC participating states were Delaware, Florida, Illinois, Kentucky, Louisiana, Massachusetts, Missouri, North Carolina, New Jersey, Pennsylvania, South Carolina, Texas, Utah, Vermont, and Washington. A version of the 1995 NCANDS DCDC is available to the research community. The files that are available consist of selected and derived variables from the Fiscal Year 1995 NCANDS DCDC records from the fifteen DCDC participating states. These files are referred to as the NCANDS DCDC 1995 (1995 NCANDS). The 1995 NCANDS consists of 30 data files - two from each participating state. One of the two files per state contains fourteen variables and includes information about all report/child pairs of alleged maltreatment. The second file for each state contains 62 variables and includes information about all report/child pairs with substantiated or indicated maltreatment. Information is included about the types of maltreatment, the support services provided to the family, as well as caretaker, child, and family problems. Information about perpetrators of maltreatment is not included in the files. Child fatalities are not included in the data files. While the 1995 NCANDS DCDC data are not a statistically representative sample of maltreated children in the United States, they show distributions similar to those found in studies using national data. Furthermore, they provide an important opportunity to answer many questions regarding child maltreatment cases that are known to Child Protective Services. The Childrens Bureau website has a description of the NCANDS system and the downloadable Child Welfare Outcomes Reports and Child Maltreatment Reports.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "state"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Abuse and Neglect Data System, Detailed Case Data Component (NCANDS DCDC), 1995-1997 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-ncands-child-file.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=75"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0113",
      "title": "National Child Welfare Information Study (NCWIS)",
      "description": "How we access information and use technology is rapidly changing. With so many ways to access an ever increasing amount of information, it is becoming increasingly difficult for information clearinghouses and technical assistance providers to be responsive to the needs and preferences of a diverse child welfare workforce and to get useful, trusted information into the hands of those who need it most. The Child Welfare Information Gateway, funded by the Children's Bureau, conducted a research study to better understand how professionals search for, access, and share information, including their use of social media and technology. The study gathered data about the behaviors and preferences of current and future members of the child welfare workforce, including child welfare agency professionals, child welfare professionals working with Tribes, legal professionals, and students in social work programs through an online survey, tailored to each respondent group, and telephone focus groups. To ensure the study design and instruments were informed by appropriate stakeholders, various experts were engaged through stakeholder groups to provide structured feedback on overall study design, target audiences, and instrument development. Stakeholder groups were composed of experts in child welfare systems, issues, policies, technology, communication, and research methodology. Study participants were invited to be a part of the study through a variety of channels, including the agencies for which they worked, through intermediary organizations such as professional associations, and through contacts at university social work programs. Because of the different contexts of each of the targeted audiences, recruitment approaches were tailored and multiple methods were used to maximize responses. Ultimately, 4,134 individuals responded to the survey, including 3,191 child welfare agency professionals, 122 child welfare professionals working with Tribes, 371 legal professionals, and 450 students in social work programs. Study findings are meant to support the enhanced design and reach of information, resources, and services for child welfare agency administrators, program managers, supervisors, caseworkers, judges and attorneys, and future members of the child welfare workforce so that they are more accessible, useful, and effective for improving child welfare practice.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Child Welfare Information Study (NCWIS) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=236"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0114",
      "title": "National Study of Protective, Preventive, and Reunification Services Delivered to Children and Their Families, 1994",
      "description": "The passage of the Adoption Assistance and Child Welfare Act of 1980 (P.L. 96-272) significantly reoriented child welfare services from a system which focused on foster care placement to one which was intended to provide the services necessary to maintain children in their own homes. In response to the provisions of the law, state and county child welfare agencies developed new social service programs and sought new avenues for coordinating with other components of the human service delivery system.The purpose of the National Study of Protective, Preventive, and Reunification Services Delivered to Children and Their Families, 1994, is to provide a reliable national picture of the children and families in the ìnewî child welfare system. The study is designed not only to describe the current delivery system in terms of the number and characteristics of the children and families served by service type, but also to examine how agency, service, and client characteristics relate to case status. The dataset consists of three files. The main case file includes 2,109 observations and 1,205 variables. It includes information about the number, types and services provided to children and their families, with an emphasis on differences in annual and point-in-time data, case duration, in-home and out-of-home services, race and kinship care. Two additional files are provided to separate out the repeating records. These files augment the main case file and contain 11,335 observations and 25 variables about household members and their characteristics and delineation of children receiving services.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Study of Protective, Preventive, and Reunification Services Delivered to Children and Their Families, 1994 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=71"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0115",
      "title": "National Survey of Current and Former Foster Parents, 1993",
      "description": "The purpose of the National Survey of Current and Former Foster Parents was to collect and analyze data from a nationally representative sample of current and former foster parents that would provide direction for future policy development. This study used a multistage stratified design where probability sampling was employed at each stage of the design. A mail/telephone survey was conducted of current and former foster parents in 16 counties in nine states. Based on lists provided by the counties, 1,572 current foster parents and 362 former foster parents received a questionnaire in the mail. Follow up post cards and telephone calls were made. The survey was designed to identify foster parent characteristics, the types of children for whom they provided care, the types of children they would be willing to care for in the future, and their interactions with the child welfare system. An overall response rate of 71% was achieved.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Survey of Current and Former Foster Parents, 1993 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=79"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0116",
      "title": "National Youth in Transition Database (NYTD) - Outcomes File, Cohort Age 17 in FY2011, Waves 1-3 (Complete)",
      "description": "The John H. Chafee Foster Care Independence Program (CFCIP) was initiated in an effort to improve outcomes for youth in foster care who are likely to reach their 18th birthday without having found a permanent home. The program provides funding to states to develop and administer programs designed to help ease the transition from foster care to independence. The law that created CFCIP also required states to develop 1) a system for tracking the services provided through CFCIP, and 2) a method for collecting outcome measures so that the effectiveness of the program can be assessed. These two components together form the National Youth in Transition Database (NYTD). The files contain data from all 50 states, as well as from the District of Columbia and Puerto Rico. The Outcomes component (this dataset) contains the results of surveys conducted with youth to examine certain well-being, financial, and educational outcomes as they get older. Data from a survey on outcomes for a cohort of youth is provided every other year beginning with federal fiscal year 2011 (Oct 1, 2010 through Sep 30, 2011). There are three phases of outcome data for a given cohort -- a baseline survey during the year of the youth’s 17th birthday, and two follow-ups: one at age 19, one at age 21. New cohorts will be established every three years (2014, 2017, 2020…) after the initial one in FY2011.The Services component contains cross-sectional information on the services provided by states under CFCIP and the youth who receive those services. Data are submitted by the states every 6 months on a continuing basis.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "education",
        "employment",
        "youth services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Youth in Transition Database (NYTD) - Outcomes File, Cohort Age 17 in FY2011, Waves 1-3 (Complete) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-nytd.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=202"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0117",
      "title": "National Youth in Transition Database (NYTD) - Outcomes File, Cohort Age 17 in FY2014, Waves 1-3 (Complete)",
      "description": "The John H. Chafee Foster Care Independence Program (CFCIP) was initiated in an effort to improve outcomes for youth in foster care who are likely to reach their 18th birthday without having found a permanent home. The program provides funding to states to develop and administer programs designed to help ease the transition from foster care to independence. The law that created CFCIP also required states to develop 1) a system for tracking the services provided through CFCIP, and 2) a method for collecting outcome measures so that the effectiveness of the program can be assessed. These two components together form the National Youth in Transition Database (NYTD). The files contain data from all 50 states, as well as from the District of Columbia and Puerto Rico. The Outcomes component (this dataset) contains the results of surveys conducted with youth to examine certain well-being, financial, and educational outcomes as they get older. Data from a survey on outcomes for a cohort of youth is provided every other year beginning with federal fiscal year 2011 (Oct 1, 2010 through Sep 30, 2011). There are three phases of outcome data for a given cohort -- a baseline survey during the year of the youth’s 17th birthday, and two follow-ups: one at age 19, one at age 21. New cohorts will be established every three years (2014, 2017, 2020…) after the initial one in FY2011.The Services component contains cross-sectional information on the services provided by states under CFCIP and the youth who receive those services. Data are submitted by the states every 6 months on a continuing basis.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "education",
        "employment",
        "youth services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Youth in Transition Database (NYTD) - Outcomes File, Cohort Age 17 in FY2014, Waves 1-3 (Complete) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-nytd.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=228"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0118",
      "title": "National Youth in Transition Database (NYTD) - Outcomes File, Cohort Age 17 in FY2017, Waves 1-3 (Complete)",
      "description": "The John H. Chafee Foster Care Independence Program (CFCIP) was initiated in an effort to improve outcomes for youth in foster care who are likely to reach their 18th birthday without having found a permanent home. The program provides funding to states to develop and administer programs designed to help ease the transition from foster care to independence. The law that created CFCIP also required states to develop 1) a system for tracking the services provided through CFCIP, and 2) a method for collecting outcome measures so that the effectiveness of the program can be assessed. These two components together form the National Youth in Transition Database (NYTD). The files contain data from all 50 states, as well as from the District of Columbia and Puerto Rico. The Outcomes component (this dataset) contains the results of surveys conducted with youth to examine certain well-being, financial, and educational outcomes as they get older. Data from a survey on outcomes for a cohort of youth is provided every other year beginning with federal fiscal year 2011 (Oct 1, 2010 through Sep 30, 2011). There are three phases of outcome data for a given cohort -- a baseline survey during the year of the youth’s 17th birthday, and two follow-ups: one at age 19, one at age 21. New cohorts will be established every three years (2014, 2017, 2020…) after the initial one in FY2011.The Services component contains cross-sectional information on the services provided by states under CFCIP and the youth who receive those services. Data are submitted by the states every 6 months on a continuing basis.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "education",
        "employment",
        "youth services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Youth in Transition Database (NYTD) - Outcomes File, Cohort Age 17 in FY2017, Waves 1-3 (Complete) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-nytd.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=266"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0119",
      "title": "National Youth in Transition Database (NYTD) - Outcomes File, Cohort Age 17 in FY2020, Waves 1-3 (Complete)",
      "description": "The John H. Chafee Foster Care Independence Program (CFCIP) was initiated in an effort to improve outcomes for youth in foster care who are likely to reach their 18th birthday without having found a permanent home. The program provides funding to states to develop and administer programs designed to help ease the transition from foster care to independence. The law that created CFCIP also required states to develop 1) a system for tracking the services provided through CFCIP, and 2) a method for collecting outcome measures so that the effectiveness of the program can be assessed. These two components together form the National Youth in Transition Database (NYTD). The files contain data from all 50 states, as well as from the District of Columbia and Puerto Rico. The Outcomes component (this dataset) contains the results of surveys conducted with youth to examine certain well-being, financial, and educational outcomes as they get older. Data from a survey on outcomes for a cohort of youth is provided every other year beginning with federal fiscal year 2011 (Oct 1, 2010 through Sep 30, 2011). There are three phases of outcome data for a given cohort -- a baseline survey during the year of the youth’s 17th birthday, and two follow-ups: one at age 19, one at age 21. New cohorts will be established every three years (2014, 2017, 2020…) after the initial one in FY2011.The Services component contains cross-sectional information on the services provided by states under CFCIP and the youth who receive those services. Data are submitted by the states every 6 months on a continuing basis.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "education",
        "employment",
        "youth services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Youth in Transition Database (NYTD) - Outcomes File, Cohort Age 17 in FY2020, Waves 1-3 (Complete) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-nytd.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=297"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0120",
      "title": "Neighborhood and Household Factors in the Etiology of Child Maltreatment",
      "description": "Two complementary research components--structured interviews with and ethnographic studies of parents--will address the two primary issues of this study. The factors being examined are (1) the ways in which neighborhood characteristics are related to parental behaviors that increase or decrease the risk of child maltreatment and (2) the ways in which parental perceptions of the neighborhood affect child maltreatment. Neighborhoods categorized as at high risk, medium risk, and low risk for child abuse and neglect reports are included in the study.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "city"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Neighborhood and Household Factors in the Etiology of Child Maltreatment - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=94"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0121",
      "title": "Parenting Among Women Sexually Abused in Childhood",
      "description": "The objective of the present study was to examine the direct and indirect impacts of childhood sexual abuse on maternal attitudes, perceptions, and behavior. The study's participants were a subset of 357 primiparous women interviewed at 28 to 32 weeks' gestation between the fall of 1990 and early 1992. At the time of the initial interview, almost 35% of the women reported sexual abuse before age 18. In 1995 and 1996, 265 women, 74% of the original sample, were re-interviewed when their children were between two and four years old. In this sample 40% of the respondents had been identified as sexually abused in the first study. In the follow-up interview, variables measuring parenting outcomes included: child-rearing competence, satisfaction, and efficacy; parenting stress; discipline practices; and family functioning. Variables measuring possible mediating factors between a history of sexual abuse and parenting practices included: education, occupation, income, family structure; current physical and mental health parameters, particularly depressive symptomatology; perceived current stresses unrelated to parenting; current family violence or sexual victimization; and parental sense of mastery. The data file distributed for this study contains 265 cases and 556 variables.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Parenting Among Women Sexually Abused in Childhood - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=85"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0122",
      "title": "Physical Abuse Treatment Outcome Project: Application of Parent-Child Interaction Therapy (PCIT) to Physically Abusive Parents",
      "description": "This project was a randomized clinical trial designed to test the efficacy and sufficiency of Parent-Child Interaction Therapy (PCIT) in preventing re-reports of physical abuse among physically abusive parents entering the child welfare system. One hundred ten physically abusive parents and their abused children were randomly assigned to one of three intervention conditions: 1) A modified PCIT-based parenting program, 2) The same modified PCIT-based program plus individualized wrap-around services, and 3) a community parenting group program that is representative of current standard care in the field. Pre- and post-test measures of the family were taken. Areas of assessment included depression, severity of abuse and neglect, internalizing and externalizing problem behaviors, child abuse potential, parent drug and alcohol disorders, parent-child interaction, parent and child intelligence, child’s perception of parent behaviors, and parent’s willingness to change behavior. A demographics questionnaire was also administered and a review of child maltreatment reports was conducted.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "region"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Physical Abuse Treatment Outcome Project: Application of Parent-Child Interaction Therapy (PCIT) to Physically Abusive Parents - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=100"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0123",
      "title": "Regional Partnership Grants National Cross-Site Evaluation (RPG-2)",
      "description": "To address the far-reaching consequences of adult substance use disorders on families and children, Congress in 2006 authorized, and in 2011 reauthorized, competitive grants to support partnerships among child welfare, substance use disorder treatment, and related organizations. The Children’s Bureau (CB) within the Administration for Children and Families, Administration on Children, Youth and Families at the U.S. Department of Health and Human Services established the Regional Partnership Grant (RPG) program, and in 2017 awarded grants to 17 second-cohort (RPG-2) partnerships to implement evidence-based programs (EBPs) to meet the needs of this target population. CB funded Mathematica Policy Research, along with its subcontractor Walter R. MacDonald & Associates (WRMA), to conduct a five-year cross-site evaluation of the grantees’ RPG projects. Mathematica and WRMA designed a cross-site evaluation to address the following 7 research questions: Who was involved in each RPG project and how did the partners work together? To what extent were the grantees and their partners prepared to sustain their projects by the end of the grant period? Who were the target populations of the RPG projects? Did RPG projects reach their intended target populations? Which EBPs did the RPG projects select? How well did they align with RPG projects’ target populations and goals? What procedures, infrastructure, and supports were in place to facilitate implementation of the EBPs? How were the EBPs implemented? What services were provided? What were the characteristics of enrolled participants? To what extent were the RPG projects prepared to sustain their EBPs at the end of the grant period? What were the well-being, permanency, and safety outcomes of children, and the recovery outcomes of adults, who received services from the RPG projects? The cross site evaluation has three main components used to answer these research questions: (1) an implementation study, (2) a partnership study, and (3) an outcomes study. Additional instructions for working with the RPG-2 data are posted on the RPG User Support page.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Regional Partnership Grants National Cross-Site Evaluation (RPG-2) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=218"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0124",
      "title": "Regional Partnership Grants National Cross-Site Evaluation (RPG-4)",
      "description": "To address the far-reaching consequences of adult substance use disorders on families and children, Congress authorized competitive grants to support partnerships among child welfare, substance abuse treatment, and related organizations. Children’s Bureau (CB) within the Administration for Children and Families, Administration on Children, Youth, and Families at the U.S. Department of Health and Human Services established the Regional Partnership Grant (RPG) program to implement programs to meet the needs of this target population. CB funded Mathematica, along with its subcontractor Walter R. MacDonald & Associates (WRMA), to conduct a cross-site evaluation of the grantees’ RPG projects. Mathematica/WRMA designed a cross-site evaluation to address the following research questions: 1. Which partners were involved in each RPG project and how did they work together? 2. How much progress did RPG4 projects make toward interagency collaboration and service coordination? 3. How did the child welfare and substance use treatment agencies work together to achieve the goals of RPG? 4. What referral sources did RPG projects use? Did referral sources change over time? 5. What are the characteristics of families who enrolled in RPG? 6. To what extent did RPG projects reach their target populations? 7. What core services were provided and to whom? 8. Were core services that families received different from the services proposed in grantee applications? If so, what led to the changes in planned services? 9. How engaged were participants with the services provided? 10. Which agencies (grantees and their partners) provided services? 11. What proportion of families exited RPG? 12. What plans and activities did RPG projects undertake to maintain the implementation infrastructure and processes during and after the grant period? 13. What plans and activities did RPG projects undertake to maintain the organizational infrastructure and processes after the grant period? 14. To what extent were RPG projects prepared to sustain services after the grant period? 15. What plans and activities did RPG projects undertake to develop funding strategies and secure resources needed after the grant period? 16. How did the federal, state, and local context affect RPG projects and their efforts to sustain RPG services? 17. What were the well-being, permanency, safety, recovery, and family functioning outcomes for children and adults who enrolled in RPG projects? 18. What were the impacts of RPG projects on children and adults who enrolled in RPG? The cross site evaluation uses several data sources to answer these research questions: (1) a partner study, (2) enrollment and services data, (3) outcomes data, and (4) site visits.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Regional Partnership Grants National Cross-Site Evaluation (RPG-4) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=269"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0125",
      "title": "Regional Partnership Grants National Cross-Site Evaluation (RPG-5 and RPG-6)",
      "description": "To address the far-reaching consequences of adult substance use disorders on families and children, Congress authorized competitive grants to support partnerships among child welfare, substance abuse treatment, and related organizations. Children’s Bureau (CB) within the Administration for Children and Families, Administration on Children, Youth, and Families at the U.S. Department of Health and Human Services established the Regional Partnership Grant (RPG) program, and awarded a total of 56 5-year grants across 4 cohorts to implement programs to meet the needs of this target population. CB funded Mathematica, along with its subcontractor Walter R. MacDonald & Associates (WRMA), to conduct a cross-site evaluation of the grantees’ RPG projects. Mathematica/WRMA designed a cross-site evaluation to address the following research questions: Which partners were involved in each RPG project and how did they work together? How much progress did RPG4 projects make toward interagency collaboration and service coordination? How did the child welfare and substance use treatment agencies work together to achieve the goals of RPG? What referral sources did RPG projects use? Did referral sources change over time? What are the characteristics of families who enrolled in RPG? To what extent did RPG projects reach their target populations? What core services were provided and to whom? Were core services that families received different from the services proposed in grantee applications? If so, what led to the changes in planned services? How engaged were participants with the services provided? Which agencies (grantees and their partners) provided services? What proportion of families exited RPG? What plans and activities did RPG projects undertake to maintain the implementation infrastructure and processes during and after the grant period? What plans and activities did RPG projects undertake to maintain the organizational infrastructure and processes after the grant period? To what extent were RPG projects prepared to sustain services after the grant period? What plans and activities did RPG projects undertake to develop funding strategies and secure resources needed after the grant period? How did the federal, state, and local context affect RPG projects and their efforts to sustain RPG services? What were the well-being, permanency, safety, recovery, and family functioning outcomes for children and adults who enrolled in RPG projects? What were the impacts of RPG projects on children and adults who enrolled in RPG? The cross site evaluation uses several data sources to answer these research questions: (1) a partner study, (2) enrollment and services data, (3) outcomes data, (4) site visits, and (5) an improvement and sustainability survey. See the design report executive summary (included in the dataset) for more details on this evaluation.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Regional Partnership Grants National Cross-Site Evaluation (RPG-5 and RPG-6) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=290"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0126",
      "title": "Regional Partnership Grants National Cross-Site Evaluation: Round Three Sites (RPG-3)",
      "description": "To address the far-reaching consequences of adult substance use disorders on families and children, Congress in 2006 authorized, and in 2011 reauthorized, competitive grants to support partnerships among child welfare, substance use disorder treatment, and related organizations. The Children’s Bureau (CB) within the Administration for Children and Families, Administration on Children, Youth and Families at the U.S. Department of Health and Human Services established the Regional Partnership Grant (RPG) program, and in 2012 awarded grants to 17 second-cohort (RPG-2) partnerships to implement evidence-based programs (EBPs) to meet the needs of this target population. These data are available as NDACAN dataset 218. As noted in the NDACAN dataset 218 description, CB funded Mathematica Policy Research, along with its subcontractor Walter R. MacDonald & Associates (WRMA), to conduct a five-year cross-site evaluation of the grantees’ RPG projects. Mathematica and WRMA designed a cross-site evaluation to address the following 7 research questions: Who was involved in each RPG project and how did the partners work together? To what extent were the grantees and their partners prepared to sustain their projects by the end of the grant period? Who were the target populations of the RPG projects? Did RPG projects reach their intended target populations? Which EBPs did the RPG projects select? How well did they align with RPG projects’ target populations and goals? What procedures, infrastructure, and supports were in place to facilitate implementation of the EBPs? How were the EBPs implemented? What services were provided? What were the characteristics of enrolled participants? To what extent were the RPG projects prepared to sustain their EBPs at the end of the grant period? What were the well-being, permanency, and safety outcomes of children, and the recovery outcomes of adults, who received services from the RPG projects? This study and associated dataset (DS223) extends and supplements Mathematica Policy Research’s Regional Partnership Grants (RPG-2) National Cross-Site Evaluation and Technical Assistance project to include four additional grantees who received funding in 2014. The cross site evaluation has three main components used to answer these research questions: (1) an implementation study, (2) a partnership study, and (3) an outcomes study.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Regional Partnership Grants National Cross-Site Evaluation: Round Three Sites (RPG-3) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=223"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0127",
      "title": "Sensitively Assessing Children's Testimonial Competence",
      "description": "Most courts require that all witnesses take an oath, or at least \"promise\" to tell the truth when testifying. To appreciate the oath, a witness must understand the difference between truths and lies, as well as his or her obligation to tell the truth. The courts, therefore, routinely question child witnesses regarding their understanding of truth and lies before allowing them to testify. This research project examines the most sensitive means by which to measure children's competency to take an oath. Researchers conducted six studies using 475 children ages 4 to 7 years old. Two groups of children were tested: one group (352 children) were maltreated children under the jurisdiction of the Los Angeles County juvenile court, and the other group (123 children) were nonreferred children attending a university preschool. In each study the children were interviewed and tested by an examiner who gave them questions to answer and tasks to perform. The results show that young maltreated child witnesses exhibit serious delays in receptive and productive vocabulary the children's understanding of the meaning and morality of lying depends on how they are asked to demonstrate their understanding despite weak vocabularies, most maltreated children understand the meaning and morality of lying by age 5 young child witnesses may not understand the request \"promise to tell the truth\".",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Sensitively Assessing Children's Testimonial Competence - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=81"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0128",
      "title": "Substantiation of Child Abuse and Neglect Reports, 1985",
      "description": "This study identifies factors that significantly increase or decrease the likelihood that a child maltreatment report will be substantiated once an investigation occurs. A specific concern of the study was to investigate the size and nature of the difference in substantiation rates for reports originating from professional sources mandated by law to report suspected cases of child maltreatment compared to reports from non-professional sources, such as relatives and neighbors. A representative sample of 796 sexual abuse, 198 physical abuse and 880 neglect reports were obtained from the New York State Child Abuse and Maltreatment Register. Types of data collected included background variables (e.g., sex and age of the subject child); the source of the report; actions that took place after the report was filed (e.g., court action), and the case determination.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "state"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Substantiation of Child Abuse and Neglect Reports, 1985 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=50"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0129",
      "title": "Supporting Evidence-Based Home Visitation Programs to Prevent Child Maltreatment (EBHV)",
      "description": "In 2008, the Children’s Bureau (CB) within the Administration for Children and Families (ACF) at the U.S. Department of Health and Human Services funded 17 cooperative agreements (subcontractors) to support the development of infrastructure needed for the high quality implementation of grantee-selected evidence-based home visitation programs to prevent child maltreatment. CB/ACF funded Mathematica Policy Research and Chapin Hall at the University of Chicago to design and conduct a participatory and utilization-focused cross-site evaluation of the subcontractors’ programs. The primary purpose of the cross-site evaluation was to augment the existing evidence base by identifying successful strategies for adopting, implementing, and sustaining high quality home visiting programs to prevent child maltreatment. The national cross-site evaluation included four domains: (1) systems change and infrastructure building, (2) fidelity to evidence-based home visiting models, (3) cost analysis, and (4) a process study. The project will archive data used to assess the fidelity to five evidence-based home visiting models, including data on staff and participant characteristics, service data, and the Working Alliance Inventory, an instrument design to assess home visitor-participant relationships. Data were submitted by 48 implementing agencies from 16 of the EBHV subcontractors. These data describe service delivery between October 1, 2009 and June 30, 2012. Researchers who are interested in this Restricted dataset should email NDACAN to request the dataset codebooks before they decide to apply for this dataset.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "state"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Supporting Evidence-Based Home Visitation Programs to Prevent Child Maltreatment (EBHV) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=185"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0130",
      "title": "Targeted Grants to Increase the Well-Being of, and to Improve the Permanency Outcomes for, Children Affected by Methamphetamine or Other Substance Abuse: September 30, 2007, to September 30, 2012 (RPG-1)",
      "description": "During the first year of the RPG Program, HHS, with Office of Management and Budget approval, developed a web-based RPG Data Collection and Reporting System to compile the performance measure data across all 53 grantees. Grantees began submitting case-level child and adult data to the RPG Data System in December 2008 and then uploaded their latest cumulative data files in December and June of each program year. Grantees' final data upload was in December 2012. The RPG Data System links data for children and adults together as a family unit and follows clients served over the course of the grant project, making it the most extensive quantitative dataset currently available on outcomes for children, adults, and families affected by substance abuse and child maltreatment. Grantees collected and reported on the performance measures that aligned with their program models, services and activities, goals, and intended outcomes. While grantee programs may have varied in terms of the interventions implemented, grantees reporting on the same performance measures submitted their data with specified data elements drawn from existing substance abuse and child welfare treatment reporting systems. Thus, grantees submitted data using standardized definitions and coding (grantees were provided a Data Dictionary) to ensure consistency across RPG grantees collecting the same performance measures. Each grantee was provided with individualized customized data plans for each of their RPG participant and control/comparison groups (some grantees had multiple treatment and control/comparison groups). Each customized data plan included child and adult demographic information and the distinct data elements required to calculate the selected standardized child and adult performance measures. The creation of individual data plans allowed for case-level data to be submitted in a standardized uniform file format, which further ensured consistent data collection and reporting across RPG grantees. To further strengthen data quality and consistency, two immediate levels of automated quality assurance checks occurred when grantees submitted their data to the RPG Data System. The first level of checks validated the accuracy of individual data elements based on valid coding and date ranges (e.g., a date of 2015 is identified as invalid, as the year has not occurred). The second level of review involved approximately 150 data validation checks that addressed illogical coding (e.g., a male client is coded as pregnant), as well as potential relational inconsistencies or possible errors between data elements (e.g., a substance abuse assessment that occurs after substance abuse treatment entry instead of prior to entry). To complete their data uploads, grantees had to correct definite coding errors and confirm or correct warnings regarding potential data inconsistencies. The dataset is a compilation of data from multiple administrative data sources, including child maltreatment data from the National Child Abuse and Neglect Data System (NCANDS), foster care data from the Adoption and Foster Care Analysis and Reporting System (AFCARS), and caregiver substance abuse treatment data from the Treatment Episode Data Set (TEDS). Data from the North Carolina Family Assessment Scale (NCFAS) are the only non-administrative data included in this collection. Researchers who order the RPG data from NDACAN should review the RPG user support information on the NDACAN website.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "state"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Targeted Grants to Increase the Well-Being of, and to Improve the Permanency Outcomes for, Children Affected by Methamphetamine or Other Substance Abuse: September 30, 2007, to September 30, 2012 (RPG-1) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=191"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0131",
      "title": "The Flint MDT Study (March 2014- January 2016)",
      "description": "The Flint MDT Study is one of the projects of the National Quality Improvement Center on the Representation of Children in Child Welfare (QIC-ChildRep). The Study partnered with a group of five lawyers-guardian ad litem to observe and evaluate a multidisciplinary approach to representing children in child protection proceedings. The study provided the LGALs two social workers and randomly assigned cases to be either represented by the attorney/social worker team or by the attorney alone. This study provides both a description of the functioning of these teams collaborating to represent children and a rigorous evaluation of outcomes compared to a control group. Only quantitative data have been deposited with NDACAN.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "state"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The Flint MDT Study (March 2014- January 2016) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=205"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0132",
      "title": "The Maltreatment of Children with Disabilities and Child Maltreatment in Substance Abusing Families, 1991",
      "description": "This study examines the incidence of substantiated maltreatment among children with cognitive, physical, emotional or learning disabilities, with specific attention given to the relationship between maltreatment and disabilities. It also investigates the incidence of child abuse and neglect among children in substance abusing families, and the relationship between child abuse and familial substance abuse. The data were collected from a nationally representative group of 35 Child Protective Services (CPS) agencies, which were asked to provide information on all cases of substantiated maltreatment over a four to six week period in early 1991. The Archive distributes 5 data files for this study which provide information on a total of 1,249 substantiated maltreatment incidents. A case-level data file includes demographic information on the children and adults involved in each case, information on the timing, type, and reporting of maltreatment, data on the relationships between the individuals involved in each case, and case status. A second file contains caseworker assessments of children with suspected or known disabilities, as well as information on the sources and reliability of those assessments. An estimated 14.1 percent of the children in the study were identified by caseworkers as having one or more disabilities, using the definition found in the Americans with Disabilities Act (P.L. 101-336). A third data file contains substance abuse information for each adult in the study suspected of substance abuse. In addition to the three files mentioned above there are two files which the Archive distributes which are restructured versions of the case-level file, in which the unit of analysis has been changed to represent an individual involved in a case.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The Maltreatment of Children with Disabilities and Child Maltreatment in Substance Abusing Families, 1991 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=68"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0133",
      "title": "Victimization and Other Risk Factors for Child Maltreatment Among School-Age Parents: A Longitudinal Study, 1988- 1992",
      "description": "This descriptive longitudinal field study looks at risk factors in the etiology of child abuse and neglect among adolescent parents. The investigators examined sexual victimization prior to pregnancy as a major antecedent factor for child maltreatment. Pregnant and/or parenting adolescents were recruited from ongoing educational and social programs in the state of Washington between October 1988 and 1989. The sample consisted of 535 adolescent females who were 17 years old or younger at the time of their first pregnancy, and 21 years old or younger at the time they completed the survey. Follow-up data for this study were collected on 315 of these females between 1990 and 1991. The survey data describe respondents demographic characteristics, family background, pregnancies, parenting history, sexual histories, behavioral indicators of sexual victimization, physical maltreatment, and neglect. In addition, data were collected on parenting skills, attitudes, social support, sex roles and attitudes toward sexual activity. The data allow for examination of the inter-relationship between: 1) childhood sexual abuse, 2) adolescent pregnancy, and 3) child maltreatment by adolescent parents. The Archive distributes two data files for this study. One file contains the baseline data collected between 1988 and 1989 for all 540 participants in wave one. The second data file includes baseline and follow-up data for the 318 women who participated in both waves of the study.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "state"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Victimization and Other Risk Factors for Child Maltreatment Among School-Age Parents: A Longitudinal Study, 1988- 1992 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=67"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0134",
      "title": "Voluntary Cooperative Information System (VCIS) Multi-Year File (1982-1995)",
      "description": "The Voluntary Cooperative Information System (VCIS) compiled aggregate information about children who experienced substitute care in the United States between 1982 and 1995. Substitute care data were collected voluntarily by the American Public Welfare Association (APWA) from state agencies administering public child welfare programs. VCIS data are annual state-level counts of children entering, in, and exiting substitute care, tabulated by various child attributes such as age, sex, race/ethnicity, or duration of care. The VCIS therefore provides a basis for both cross-sectional and longitudinal state-level analysis, including through linkage to aggregated data from its successor, the Adoption and Foster Care Reporting and Analysis System (AFCARS). Note that VCIS data have significant limitations in terms of coverage and reliability, and users are strongly encouraged to read the User Guide carefully before using the data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Voluntary Cooperative Information System (VCIS) Multi-Year File (1982-1995) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=247"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0137",
      "title": "National Trends in Foster Care and Adoption (2013 - 2022)",
      "description": "This dataset contains national estimates related to children in foster care and children adopted from the foster care system for federal fiscal years 2013–2022. It includes annual counts for children served, in care on September 30, entered care, exited care, waiting for adoption, with parental rights terminated, and adopted based on AFCARS data submissions.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Trends in Foster Care and Adoption (2013 - 2022) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/cb/report/trends-foster-care-adoption",
          "downloadURL": "https://acf.gov/sites/default/files/documents/cb/national-afcars-data-2013-2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0138",
      "title": "State Trends in Foster Care and Adoption (2013 - 2022)",
      "description": "This dataset contains state-level estimates related to children in foster care and children adopted from the foster care system for federal fiscal years 2013–2022. It includes annual counts by state for children served, in care on September 30, entered care, exited care, waiting for adoption, with parental rights terminated, and adopted based on AFCARS data submissions.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "state"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State Trends in Foster Care and Adoption (2013 - 2022) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/cb/report/trends-foster-care-adoption",
          "downloadURL": "https://acf.gov/sites/default/files/documents/cb/state-afcars-data-2013-2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0141",
      "title": "Child and Family Services Reviews Round 4 Statewide Data Indicators Workbook",
      "description": "This dataset contains state-by-state performance results for Child and Family Services Reviews (CFSR) Round 4 statewide data indicators. It includes performance measures related to permanency, maltreatment, reentry, placement stability, and foster care outcomes, along with AFCARS and NCANDS data quality assessments and comparisons to national performance benchmarks.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
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          "downloadURL": "https://acf.gov/sites/default/files/documents/cb/fy-2021-title-iv-e-prevention-services.xlsx",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0154",
      "title": "Summary of Title IV-E Program Federal Financial Participation Claims (FY 2018-2022)",
      "description": "This dataset contains five-year summary data for Title IV-E foster care, adoption assistance, guardianship assistance, prevention services, and kinship navigator programs. It includes annual claims, caseloads, participation rates, and federal financial participation amounts reported by state and tribal agencies across multiple fiscal years.",
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      "keyword": [
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          "prefLabel": "human services"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Summary of Title IV-E Program Federal Financial Participation Claims (FY 2018-2022) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
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      "distribution": [
        {
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0155",
      "title": "Title IV-E Adoption Assistance Claims and Caseload (FY 2022)",
      "description": "This dataset contains fiscal year 2022 Title IV-E adoption assistance claims and caseload data reported by state and tribal agencies. It includes total computable and federal financial participation claims for adoption assistance payments, administration, training, caseloads, participation rates, and total adoption assistance program costs.",
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        "native american and tribal services"
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          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Title IV-E Adoption Assistance Claims and Caseload (FY 2022) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/cb/report/programs-expenditure-caseload-data-2022",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0156",
      "title": "Title IV-E Foster Care Claims and Caseload (FY 2022)",
      "description": "This dataset contains fiscal year 2022 Title IV-E foster care claims and caseload data reported by state and tribal agencies. It includes total computable and federal financial participation claims for foster care maintenance payments, administration, training, CCWIS and non-CCWIS costs, demonstration projects, caseloads, participation rates, and total program costs.",
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        "child welfare",
        "financial assistance",
        "native american and tribal services"
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        {
          "@type": "Concept",
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        }
      ],
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          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Title IV-E Foster Care Claims and Caseload (FY 2022) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
          "@type": "Distribution",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0157",
      "title": "Title IV-E Guardianship Assistance Claims and Caseload (FY 2022)",
      "description": "This dataset contains fiscal year 2022 Title IV-E guardianship assistance claims and caseload data reported by state and tribal agencies with approved guardianship assistance plans. It includes total computable and federal financial participation claims for guardianship assistance payments, administration, training, demonstration projects, caseloads, participation rates, and total guardianship assistance program costs.",
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        ]
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      "keyword": [
        "child welfare",
        "financial assistance",
        "native american and tribal services"
      ],
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        {
          "@type": "Concept",
          "prefLabel": "human services"
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      "spatial": [
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          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Title IV-E Guardianship Assistance Claims and Caseload (FY 2022) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/cb/report/programs-expenditure-caseload-data-2022",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0158",
      "title": "Title IV-E Kinship Navigator Claims and Caseload (FY 2022)",
      "description": "This dataset contains fiscal year 2022 Title IV-E kinship navigator program claims data reported by state agencies. It includes total computable and federal financial participation claims for kinship navigator services, administrative costs, training costs, and related program expenditures under Title IV-E.",
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          }
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        "financial assistance",
        "native american and tribal services"
      ],
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          "prefLabel": "human services"
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      ],
      "spatial": [
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          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Title IV-E Kinship Navigator Claims and Caseload (FY 2022) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
          "@type": "Distribution",
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      "inventoried": "2026-09-27"
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      "@type": "Dataset",
      "identifier": "acf-cb-0159",
      "title": "Title IV-E Prevention Services Claims and Caseload (FY 2022)",
      "description": "This dataset contains fiscal year 2022 Title IV-E prevention services claims data reported by state agencies. It includes total computable and federal financial participation claims for prevention services, administrative costs, training costs, and related Title IV-E prevention program expenditures.",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0160",
      "title": "Summary of Title IV-E Program Federal Financial Participation Claims (FY 2018-2023)",
      "description": "This dataset contains six-year summary data for Title IV-E foster care, adoption assistance, guardianship assistance, prevention services, and kinship navigator programs. It includes annual claims, caseloads, participation rates, and federal financial participation amounts reported by state and tribal agencies across multiple fiscal years.",
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          "prefLabel": "human services"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Summary of Title IV-E Program Federal Financial Participation Claims (FY 2018-2023) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0161",
      "title": "Title IV-E Adoption Assistance Claims and Caseload (FY 2023)",
      "description": "This dataset contains fiscal year 2023 Title IV-E adoption assistance claims and caseload data reported by state and tribal agencies. It includes total computable and federal financial participation claims for adoption assistance payments, administration, training, caseloads, participation rates, and total adoption assistance program costs.",
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        "financial assistance",
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          "prefLabel": "human services"
        }
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          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Title IV-E Adoption Assistance Claims and Caseload (FY 2023) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/cb/report/programs-expenditure-caseload-data-2023",
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0162",
      "title": "Title IV-E Foster Care Claims and Caseload (FY 2023)",
      "description": "This dataset contains fiscal year 2023 Title IV-E foster care claims and caseload data reported by state and tribal agencies. It includes total computable and federal financial participation claims for foster care maintenance payments, administration, training, CCWIS and non-CCWIS costs, demonstration projects, caseloads, participation rates, and total program costs.",
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      "accessRights": "public",
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        "child welfare",
        "financial assistance",
        "native american and tribal services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
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          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Title IV-E Foster Care Claims and Caseload (FY 2023) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/cb/report/programs-expenditure-caseload-data-2023",
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          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0163",
      "title": "Title IV-E Guardianship Assistance Claims and Caseload (FY 2023)",
      "description": "This dataset contains fiscal year 2023 Title IV-E guardianship assistance claims and caseload data reported by state and tribal agencies with approved guardianship assistance plans. It includes total computable and federal financial participation claims for guardianship assistance payments, administration, training, demonstration projects, caseloads, participation rates, and total guardianship assistance program costs.",
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          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
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      ],
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        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
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          }
        ]
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      "accessRights": "public",
      "keyword": [
        "child welfare",
        "financial assistance",
        "native american and tribal services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Title IV-E Guardianship Assistance Claims and Caseload (FY 2023) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/cb/report/programs-expenditure-caseload-data-2023",
          "downloadURL": "https://acf.gov/sites/default/files/documents/cb/fy-2023-title-iv-e-guardianship-assistance.xlsx",
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          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0164",
      "title": "Title IV-E Kinship Navigator Claims and Caseload (FY 2023)",
      "description": "This dataset contains fiscal year 2023 Title IV-E kinship navigator program claims data reported by state agencies. It includes total computable and federal financial participation claims for kinship navigator services, administrative costs, training costs, and related program expenditures under Title IV-E.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
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            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "financial assistance",
        "native american and tribal services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Title IV-E Kinship Navigator Claims and Caseload (FY 2023) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/cb/report/programs-expenditure-caseload-data-2023",
          "downloadURL": "https://acf.gov/sites/default/files/documents/cb/fy-2023-title-iv-e-kinship-navigator.xlsx",
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          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0165",
      "title": "Title IV-E Prevention Services Claims and Caseload (FY 2023)",
      "description": "This dataset contains fiscal year 2023 Title IV-E prevention services claims data reported by state agencies. It includes total computable and federal financial participation claims for prevention services, administrative costs, training costs, and related Title IV-E prevention program expenditures.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
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      "publisher": {
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        ]
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      "accessRights": "public",
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        "child welfare",
        "financial assistance",
        "native american and tribal services"
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      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Title IV-E Prevention Services Claims and Caseload (FY 2023) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/cb/report/programs-expenditure-caseload-data-2023",
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          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0166",
      "title": "Summary of Title IV-E Program Federal Financial Participation Claims (FY 2018-2024)",
      "description": "This dataset contains multi-year summary data for Title IV-E foster care, adoption assistance, guardianship assistance, prevention services, and kinship navigator programs from fiscal years 2018 through 2024. It includes annual claims, caseloads, participation rates, and federal financial participation amounts reported by state and tribal agencies across programs and fiscal years.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "financial assistance",
        "native american and tribal services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Summary of Title IV-E Program Federal Financial Participation Claims (FY 2018-2024) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/cb/report/programs-expenditure-caseload-data-2024",
          "downloadURL": "https://acf.gov/sites/default/files/documents/cb/fys-2018-2024-iv-e-summary-participation-claims.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0167",
      "title": "Title IV-E Adoption Assistance Claims and Caseload (FY 2024)",
      "description": "This dataset contains fiscal year 2024 Title IV-E adoption assistance claims and caseload data reported by state and tribal agencies. It includes total computable and federal financial participation claims for adoption assistance payments, administration, training, caseloads, participation rates, and total adoption assistance program costs.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "financial assistance",
        "native american and tribal services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Title IV-E Adoption Assistance Claims and Caseload (FY 2024) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/cb/report/programs-expenditure-caseload-data-2024",
          "downloadURL": "https://acf.gov/sites/default/files/documents/cb/fy2024-iv-e-adoption-assistance-claims-caseload.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0168",
      "title": "Title IV-E Foster Care Claims and Caseload (FY 2024)",
      "description": "This dataset contains fiscal year 2024 Title IV-E foster care claims and caseload data reported by state and tribal agencies. It includes total computable and federal financial participation claims for foster care maintenance payments, administration, training, CCWIS and non-CCWIS costs, demonstration projects, caseloads, participation rates, and total program costs.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "financial assistance",
        "native american and tribal services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Title IV-E Foster Care Claims and Caseload (FY 2024) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/cb/report/programs-expenditure-caseload-data-2024",
          "downloadURL": "https://acf.gov/sites/default/files/documents/cb/fy2024-iv-e-foster-care-claims-caseload.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0169",
      "title": "Title IV-E Guardianship Assistance Claims and Caseload (FY 2024)",
      "description": "This dataset contains fiscal year 2024 Title IV-E guardianship assistance claims and caseload data reported by state and tribal agencies with approved guardianship assistance plans. It includes total computable and federal financial participation claims for guardianship assistance payments, administration, training, demonstration projects, caseloads, participation rates, and total guardianship assistance program costs.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "financial assistance",
        "native american and tribal services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Title IV-E Guardianship Assistance Claims and Caseload (FY 2024) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/cb/report/programs-expenditure-caseload-data-2024",
          "downloadURL": "https://acf.gov/sites/default/files/documents/cb/fy2024-iv-e-guardianship-assistance-claims-caseload.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0170",
      "title": "Title IV-E Kinship Navigator Claims and Caseload (FY 2024)",
      "description": "This dataset contains fiscal year 2024 Title IV-E kinship navigator program claims data reported by state agencies. It includes total computable and federal financial participation claims for kinship navigator services, administrative costs, training costs, and related program expenditures under Title IV-E.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "financial assistance",
        "native american and tribal services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Title IV-E Kinship Navigator Claims and Caseload (FY 2024) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/cb/report/programs-expenditure-caseload-data-2024",
          "downloadURL": "https://acf.gov/sites/default/files/documents/cb/fy2024-iv-e-kinship-navigator-claims-caseload.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-cb-0171",
      "title": "Title IV-E Prevention Services Claims and Caseload (FY 2024)",
      "description": "This dataset contains fiscal year 2024 Title IV-E prevention services claims data reported by state agencies. It includes total computable and federal financial participation claims for prevention services, administrative costs, training costs, and related Title IV-E prevention program expenditures.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF CBDatateam",
          "hasEmail": "mailto:CBDatateam@ACF.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Children’s Bureau (CB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "financial assistance",
        "native american and tribal services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Title IV-E Prevention Services Claims and Caseload (FY 2024) - Landing Page",
        "accessURL": "https://acf.gov/cb/data-research"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/cb/report/programs-expenditure-caseload-data-2024",
          "downloadURL": "https://acf.gov/sites/default/files/documents/cb/fy2024_iv-e-prevention-services-claims-caseload.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-fysb-0001",
      "title": "Runaway and Homeless Youth Management Information System (1992-1995)",
      "description": "It is estimated that over a million young people run away or become homeless each year. These youth face increasingly complex issues, including substance abuse, physical and sexual abuse, and AIDS. The serious issues faced by these youths are coupled with funding constraints among almost all agencies providing services to this population. In 1974 the Family and Youth Services Bureau (FYSB) authorized funding to assist community based programs to serve youth who were not otherwise being served by traditional human service agencies. The funding was used for the operation of basic center programs which would provide support for runaway and homeless youth (RHY). The programs offered emergency shelter, crisis intervention services, and family reunification services. In 1988 the Transitional Living Program was introduced in order to provide services to older youth requiring assistance in becoming self-sufficient. While helping to support at-risk youth, the FYSB laws also mandate that certain data be regularly collected and reported. For example, FYSB supported agencies must report on the profile of the youth and families they serve, and provide an overview of the services which they deliver under their grant programs. In order to assist these grantees in their reporting responsibilities, FYSB funded the development of a Runaway and Homeless Youth Management Information System (RHY MIS). The RHY MIS was designed to provide comprehensive information on youth served, services provided, and programs which provide the services.The RHY MIS was designed, developed, and implemented by Information Technology International (ITI). Gradual implementation of the MIS began in 1992 with approximately 400 RHY grantee sites across the country. By 1995, virtually all existing grant programs had at least one staff member who had been trained and grantees were expected to use the MIS and submit data to FYSB on a quarterly basis.The fiscal year 1992-1995 RHY MIS dataset contains data submitted during the federal fiscal years 1992-1995. Data are included from participating agencies in 53 US States and Territories. The dataset includes one file which contains 93389 observations and 490 variables. Variables pertaining to youth demographics, problems and services are provided.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF Data Governance Team",
          "hasEmail": "mailto:DataGov@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Family & Youth Services Bureau (FYSB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "youth services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Runaway and Homeless Youth Management Information System (1992-1995) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=76"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-fysb-0002",
      "title": "Runaway and Homeless Youth Management Information System (1996)",
      "description": "It is estimated that over a million young people run away or become homeless each year. These youth face increasingly complex issues, including substance abuse, physical and sexual abuse, and AIDS. The serious issues faced by these youths are coupled with funding constraints among almost all agencies providing services to this population. In 1974 the Family and Youth Services Bureau (FYSB) authorized funding to assist community based programs to serve youth who were not otherwise being served by traditional human service agencies. The funding was used for the operation of basic center programs which would provide support for runaway and homeless youth (RHY). The programs offered emergency shelter, crisis intervention services, and family reunification services. In 1988 the Transitional Living Program was introduced in order to provide services to older youth requiring assistance in becoming self-sufficient.While helping to support at-risk youth, the FYSB laws also mandate that certain data be regularly collected and reported. For example, FYSB supported agencies must report on the profile of the youth and families they serve, and provide an overview of the services which they deliver under their grant programs. In order to assist these grantees in their reporting responsibilities, FYSB funded the development of a Runaway and Homeless Youth Management Information System (RHY MIS). The RHY MIS was designed to provide comprehensive information on youth served, services provided, and programs which provide the services.The RHY MIS was designed, developed, and implemented by Information Technology International (ITI). Gradual implementation of the MIS began in 1992 with approximately 400 RHY grantee sites across the country. By 1995, virtually all existing grant programs had at least one staff member who had been trained and grantees were expected to use the MIS and submit data to FYSB on a quarterly basis.The fiscal year 1996 RHY MIS dataset contains data submitted during the federal fiscal year 1996. Data are included from participating agencies in 53 US States and Territories. The dataset includes three files. A demographics file contains 72540 observations and 153 variables. Two additional files contain 64100 observations and a combined 235 variables pertaining to youth problems and services provided.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF Data Governance Team",
          "hasEmail": "mailto:DataGov@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Family & Youth Services Bureau (FYSB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "youth services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Runaway and Homeless Youth Management Information System (1996) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=74"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-fysb-0003",
      "title": "Runaway and Homeless Youth Management Information System (1997)",
      "description": "It is estimated that over a million young people run away or become homeless each year. These youth face increasingly complex issues, including substance abuse, physical and sexual abuse, and AIDS. The serious issues faced by these youths are coupled with funding constraints among almost all agencies providing services to this population.In 1974 the Family and Youth Services Bureau (FYSB) authorized funding to assist community based programs to serve youth who were not otherwise being served by traditional human service agencies. The funding was used for the operation of basic center programs which would provide support for runaway and homeless youth (RHY). The programs offered emergency shelter, crisis intervention services, and family reunification services. In 1988 the Transitional Living Program was introduced in order to provide services to older youth requiring assistance in becoming self-sufficient. While helping to support at-risk youth, the FYSB laws also mandate that certain data be regularly collected and reported. For example, FYSB supported agencies must report on the profile of the youth and families they serve, and provide an overview of the services which they deliver under their grant programs. In order to assist these grantees in their reporting responsibilities, FYSB funded the development of a Runaway and Homeless Youth Management Information System (RHY MIS). The RHY MIS was designed to provide comprehensive information on youth served, services provided, and programs which provide the services.The RHY MIS was designed, developed, and implemented by Information Technology International (ITI). Gradual implementation of the MIS began in 1992 with approximately 400 RHY grantee sites across the country. By 1995, virtually all existing grant programs had at least one staff member who had been trained and grantees were expected to use the MIS and submit data to FYSB on a quarterly basis. The fiscal year 1997 RHY MIS dataset contains data submitted during the federal fiscal year 1997. Data are included from participating agencies in 53 U.S. States and Territories. The dataset includes three files. A demographics file contains 84846 observations and 153 variables. Two additional files contain 68100 observations and a combined 235 variables pertaining to youth problems and services provided.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF Data Governance Team",
          "hasEmail": "mailto:DataGov@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Family & Youth Services Bureau (FYSB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "youth services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Runaway and Homeless Youth Management Information System (1997) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=77"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-fysb-0004",
      "title": "Data from Runaway and Homeless Youth Programs, 1987-1990",
      "description": "These data were gathered from federally funded runaway and homeless youth shelters during 1988-1989. Data were collected on approximately 87,000 youth who received services from runaway and homeless youth programs. The following types of information are included in the data set: demographic characteristics, youth and family presenting problems at intake (including history of abuse and neglect), and services provided by the shelter.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACF Data Governance Team",
          "hasEmail": "mailto:DataGov@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Family & Youth Services Bureau (FYSB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "youth services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Data from Runaway and Homeless Youth Programs, 1987-1990 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=57"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0001",
      "title": "FY 1998 CCDF Data Tables and Charts",
      "description": "This dataset contains Child Care and Development Fund (CCDF) data reported by states and territories on families, children, and providers served through CCDF subsidy programs. It includes average monthly and annual statistics on service counts, care types and settings, payment methods, provider participation, and related program measures derived from state ACF-800 and ACF-801 administrative reports.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OCC Technical Solutions",
          "hasEmail": "mailto:occts@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Child Care (OCC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "FY 1998 CCDF Data Tables and Charts - Landing Page",
        "accessURL": "https://acf.gov/occ/data/child-care-and-development-fund-statistics"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/occ/data/fy-1998-ccdf-data-tables",
          "downloadURL": "https://acf.gov/sites/default/files/documents/occ/charts98.xls",
          "mediaType": "application/vnd.ms-excel",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0002",
      "title": "Revised FY 1999 CCDF Data Tables and Charts",
      "description": "This dataset contains Child Care and Development Fund (CCDF) data reported by states and territories on families, children, and providers served through CCDF subsidy programs. It includes average monthly and annual statistics on service counts, care types and settings, payment methods, provider participation, and related program measures derived from state ACF-800 and ACF-801 administrative reports.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OCC Technical Solutions",
          "hasEmail": "mailto:occts@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Child Care (OCC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Revised FY 1999 CCDF Data Tables and Charts - Landing Page",
        "accessURL": "https://acf.gov/occ/data/child-care-and-development-fund-statistics"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/occ/data/fy-1999-ccdf-data-tables-revised",
          "downloadURL": "https://acf.gov/sites/default/files/documents/occ/99acf800.xls",
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      "distribution": [
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    },
    {
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          "@type": "Concept",
          "prefLabel": "human services"
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      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "FY 2003 CCDF Revised Final Allocations - Landing Page",
        "accessURL": "https://acf.gov/occ/data/ccdf-state-and-territory-funding-allocations"
      },
      "distribution": [
        {
          "@type": "Distribution",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0054",
      "title": "Allocations: State: FY 2009 CCDF Final Allocations (Including Realloted Funds)",
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        {
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      ],
      "publisher": {
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          {
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            "name": "Administration for Children and Families (ACF)"
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      },
      "accessRights": "public",
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        "financial assistance",
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      "spatial": [
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      ],
      "landingPage": {
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        "accessURL": "https://acf.gov/occ/data/ccdf-state-and-territory-funding-allocations"
      },
      "distribution": [
        {
          "@type": "Distribution",
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          "downloadURL": "https://acf.gov/sites/default/files/documents/occ/final_allocations_2009.xls",
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          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0056",
      "title": "Allocations: State FY 2010 CCDF Allocations (Based on Appropriation)",
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      "contactPoint": [
        {
          "@type": "Kind",
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      ],
      "spatial": [
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      ],
      "landingPage": {
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        "accessURL": "https://acf.gov/occ/data/ccdf-state-and-territory-funding-allocations"
      },
      "distribution": [
        {
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
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        {
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      },
      "distribution": [
        {
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      ],
      "inventoried": "2026-09-27"
    },
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      "@type": "Dataset",
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      "spatial": [
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      },
      "distribution": [
        {
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      ],
      "inventoried": "2026-09-27"
    },
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      "@type": "Dataset",
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      ],
      "inventoried": "2026-09-27"
    },
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      "distribution": [
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    },
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      "landingPage": {
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      "distribution": [
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      "inventoried": "2026-09-27"
    },
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      ],
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      "landingPage": {
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      "distribution": [
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      ],
      "inventoried": "2026-09-27"
    },
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      "theme": [
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      ],
      "spatial": [
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      ],
      "landingPage": {
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      },
      "distribution": [
        {
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        }
      ],
      "inventoried": "2026-09-27"
    },
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      "@type": "Dataset",
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      "title": "FY 2017 CCDF ALLOCATIONS (Including redistributed Funds)",
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      "keyword": [
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      "theme": [
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      ],
      "spatial": [
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          "prefLabel": "united states"
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      ],
      "landingPage": {
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        "title": "FY 2017 CCDF ALLOCATIONS (Including redistributed Funds) - Landing Page",
        "accessURL": "https://acf.gov/occ/data/ccdf-state-and-territory-funding-allocations"
      },
      "distribution": [
        {
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          "accessURL": "https://acf.gov/occ/resource/fy-2017-ccdf-allocations-including-redistributed-funds",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
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      "title": "Final FY 2018 CCDF Allocations (Including Redistributed Funds)",
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      ],
      "spatial": [
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      ],
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        "accessURL": "https://acf.gov/occ/data/ccdf-state-and-territory-funding-allocations"
      },
      "distribution": [
        {
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          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0069",
      "title": "Final GY 2019 CCDF Allocations (Including Redistributed Funds)",
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      "contactPoint": [
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        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "financial assistance",
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      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
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          "prefLabel": "united states"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Final GY 2019 CCDF Allocations (Including Redistributed Funds) - Landing Page",
        "accessURL": "https://acf.gov/occ/data/ccdf-state-and-territory-funding-allocations"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/occ/data/final-gy-2019-ccdf-allocations-including-redistributed-funds",
          "downloadURL": "https://acf.gov/sites/default/files/documents/occ/the_final_gy_2019_ccdf_allocations_including_redistributed_funds.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
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      "identifier": "acf-occ-0082",
      "title": "American Relief Act (ARA) of 2025 Allocation Tables",
      "description": "This dataset contains American Relief Act (ARA) of 2025 allocation amounts for states, territories, tribes, and other eligible entities. It includes jurisdiction-level funding distributions and allocation totals provided for child care-related programs and activities.",
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        {
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          {
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        "child care and assistance",
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        "grants"
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      ],
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        "title": "American Relief Act (ARA) of 2025 Allocation Tables - Landing Page",
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      "distribution": [
        {
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0083",
      "title": "GY 2025 CCDF Allocations (Based on Appropriations)",
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        {
          "@type": "Kind",
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      ],
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      "distribution": [
        {
          "@type": "Distribution",
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        }
      ],
      "inventoried": "2026-09-27"
    },
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      "@type": "Dataset",
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        {
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      "spatial": [
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      "distribution": [
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      ],
      "inventoried": "2026-09-27"
    },
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      "@type": "Dataset",
      "identifier": "acf-occ-0089",
      "title": "FY 2005 CCDF Estimated Tribal Allocations (Prior to Appropriations)",
      "description": "This dataset contains Child Care and Development Fund (CCDF) funding allocations for tribes, tribal organizations, and eligible Native organizations. It includes mandatory and discretionary funding amounts, supplemental funding where applicable, and total funding allocations awarded to support child care assistance and related CCDF activities.",
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      ],
      "inventoried": "2026-09-27"
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        {
          "@type": "Kind",
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      "distribution": [
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      ],
      "inventoried": "2026-09-27"
    },
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      "@type": "Dataset",
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      "title": "FY 2007 CCDF Estimated Tribal Allocations (Prior to Appropriations)",
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      "distribution": [
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      ],
      "inventoried": "2026-09-27"
    },
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      "@type": "Dataset",
      "identifier": "acf-occ-0095",
      "title": "FY 2008 CCDF Final Tribal Allocations",
      "description": "This dataset contains Child Care and Development Fund (CCDF) funding allocations for tribes, tribal organizations, and eligible Native organizations. It includes mandatory and discretionary funding amounts, supplemental funding where applicable, and total funding allocations awarded to support child care assistance and related CCDF activities.",
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        {
          "@type": "Kind",
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      "publisher": {
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      "keyword": [
        "child care and assistance",
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      "theme": [
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          "@type": "Concept",
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      ],
      "spatial": [
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          "prefLabel": "united states"
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      "landingPage": {
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        "title": "FY 2008 CCDF Final Tribal Allocations - Landing Page",
        "accessURL": "https://acf.gov/occ/data/ccdf-tribal-funding-allocations"
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      "distribution": [
        {
          "@type": "Distribution",
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
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      "title": "FY 2008 CCDF Estimated Tribal Allocations (Prior to Appropriations)",
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      "landingPage": {
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      "distribution": [
        {
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0098",
      "title": "FY 2009 CCDF Estimated Tribal Allocations (Prior to Appropriations)",
      "description": "This dataset contains Child Care and Development Fund (CCDF) funding allocations for tribes, tribal organizations, and eligible Native organizations. It includes mandatory and discretionary funding amounts, supplemental funding where applicable, and total funding allocations awarded to support child care assistance and related CCDF activities.",
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      "keyword": [
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      "theme": [
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      "landingPage": {
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        "accessURL": "https://acf.gov/occ/data/ccdf-tribal-funding-allocations"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/archive/occ/data/fy-2009-ccdf-estimated-tribal-allocations",
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          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0099",
      "title": "FY 2010 CCDF Final Tribal Allocations",
      "description": "This dataset contains Child Care and Development Fund (CCDF) funding allocations for tribes, tribal organizations, and eligible Native organizations. It includes mandatory and discretionary funding amounts, supplemental funding where applicable, and total funding allocations awarded to support child care assistance and related CCDF activities.",
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        {
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      "landingPage": {
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      "distribution": [
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      ],
      "inventoried": "2026-09-27"
    },
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      "@type": "Dataset",
      "identifier": "acf-occ-0101",
      "title": "FY 2011 CCDF Estimated Tribal Allocations (Prior to Appropriations)",
      "description": "This dataset contains Child Care and Development Fund (CCDF) funding allocations for tribes, tribal organizations, and eligible Native organizations. It includes mandatory and discretionary funding amounts, supplemental funding where applicable, and total funding allocations awarded to support child care assistance and related CCDF activities.",
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      "accessRights": "public",
      "keyword": [
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      "theme": [
        {
          "@type": "Concept",
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      ],
      "spatial": [
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      "landingPage": {
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        "accessURL": "https://acf.gov/occ/data/ccdf-tribal-funding-allocations"
      },
      "distribution": [
        {
          "@type": "Distribution",
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          "downloadURL": "https://acf.gov/sites/default/files/documents/occ/2011_est_alloc.xls",
          "mediaType": "application/vnd.ms-excel",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
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      "title": "FY 2012 CCDF Final Tribal Allocations",
      "description": "This dataset contains Child Care and Development Fund (CCDF) funding allocations for tribes, tribal organizations, and eligible Native organizations. It includes mandatory and discretionary funding amounts, supplemental funding where applicable, and total funding allocations awarded to support child care assistance and related CCDF activities.",
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        {
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      "accessRights": "public",
      "keyword": [
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      "theme": [
        {
          "@type": "Concept",
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      ],
      "spatial": [
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          "prefLabel": "united states"
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      ],
      "landingPage": {
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        "title": "FY 2012 CCDF Final Tribal Allocations - Landing Page",
        "accessURL": "https://acf.gov/occ/data/ccdf-tribal-funding-allocations"
      },
      "distribution": [
        {
          "@type": "Distribution",
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          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0103",
      "title": "FY 2013 CCDF Final Tribal Allocations",
      "description": "This dataset contains Child Care and Development Fund (CCDF) funding allocations for tribes, tribal organizations, and eligible Native organizations. It includes mandatory and discretionary funding amounts, supplemental funding where applicable, and total funding allocations awarded to support child care assistance and related CCDF activities.",
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        ]
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      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "financial assistance",
        "grants",
        "native american and tribal services"
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      "theme": [
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          "accessURL": "https://acf.gov/occ/data/final-gy-2022-ccdf-tribal-allocations-including-reallotted-funds",
          "downloadURL": "https://acf.gov/sites/default/files/documents/occ/Final-GY-2022-CCDF-Tribal-Allocations-Including-Reallotted-Funds.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0120",
      "title": "GY 2023 CCDF Final Tribal Allocations (Including Final Child Count)",
      "description": "This dataset contains Child Care and Development Fund (CCDF) funding allocations for tribes, tribal organizations, and eligible Native organizations. It includes mandatory and discretionary funding amounts, supplemental funding where applicable, and total funding allocations awarded to support child care assistance and related CCDF activities.",
      "contactPoint": [
        {
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          "hasEmail": "mailto:occts@acf.hhs.gov"
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      ],
      "publisher": {
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        "name": "Office of Child Care (OCC)",
        "subOrganizationOf": [
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        ]
      },
      "accessRights": "public",
      "keyword": [
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        "disaster relief",
        "financial assistance",
        "grants",
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      "theme": [
        {
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          "prefLabel": "human services"
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      ],
      "spatial": [
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          "prefLabel": "united states"
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      ],
      "landingPage": {
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        "title": "GY 2023 CCDF Final Tribal Allocations (Including Final Child Count) - Landing Page",
        "accessURL": "https://acf.gov/occ/data/ccdf-tribal-funding-allocations"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/occ/data/gy-2023-ccdf-final-tribal-allocations-including-final-child-count",
          "downloadURL": "https://acf.gov/system/files/documents/occ/GY_2023_CCDF_Final_Tribal_Allocations_%28Including_Final_Child_Count%29.xlsx",
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0121",
      "title": "GY 2024 CCDF Tribal Allocations (Based on Appropriations)",
      "description": "This dataset contains Child Care and Development Fund (CCDF) funding allocations for tribes, tribal organizations, and eligible Native organizations. It includes mandatory and discretionary funding amounts, supplemental funding where applicable, and total funding allocations awarded to support child care assistance and related CCDF activities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OCC Technical Solutions",
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      ],
      "publisher": {
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        "name": "Office of Child Care (OCC)",
        "subOrganizationOf": [
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      },
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      "keyword": [
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        "disaster relief",
        "financial assistance",
        "grants",
        "native american and tribal services"
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      "theme": [
        {
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          "prefLabel": "human services"
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      ],
      "spatial": [
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          "prefLabel": "united states"
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      ],
      "landingPage": {
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        "title": "GY 2024 CCDF Tribal Allocations (Based on Appropriations) - Landing Page",
        "accessURL": "https://acf.gov/occ/data/ccdf-tribal-funding-allocations"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/occ/data/gy-2024-ccdf-tribal-allocations-based-appropriations",
          "downloadURL": "https://acf.gov/system/files/documents/occ/GY_2024_CCDF_Tribal_Allocations_%28Based_on_Appropriations%29.xlsx",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0122",
      "title": "GY 2025 CCDF Tribal Allocations (Based on Appropriations)",
      "description": "This dataset contains Child Care and Development Fund (CCDF) funding allocations for tribes, tribal organizations, and eligible Native organizations. It includes mandatory and discretionary funding amounts, supplemental funding where applicable, and total funding allocations awarded to support child care assistance and related CCDF activities.",
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        {
          "@type": "Kind",
          "fn": "OCC Technical Solutions",
          "hasEmail": "mailto:occts@acf.hhs.gov"
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      ],
      "publisher": {
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        "name": "Office of Child Care (OCC)",
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      },
      "accessRights": "public",
      "keyword": [
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        "financial assistance",
        "grants",
        "native american and tribal services"
      ],
      "theme": [
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      "spatial": [
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          "prefLabel": "united states"
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      ],
      "landingPage": {
        "@type": "Document",
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        "accessURL": "https://acf.gov/occ/data/ccdf-tribal-funding-allocations"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/occ/data/gy-2025-ccdf-tribal-allocations-based-appropriations",
          "downloadURL": "https://acf.gov/sites/default/files/documents/occ/gy-2025-ccdf-tribal-allocations-based-on-appropriations.xlsx",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0123",
      "title": "American Relief Act (ARA) of 2025 Allocation Tables (Tribes)",
      "description": "This dataset contains American Relief Act (ARA) of 2025 allocation amounts for federally recognized tribes, tribal organizations, and eligible Native organizations. It includes tribal funding distributions and allocation totals provided for child care-related programs and activities.",
      "contactPoint": [
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          "fn": "OCC Technical Solutions",
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      "keyword": [
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        "financial assistance",
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          "prefLabel": "human services"
        }
      ],
      "spatial": [
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          "prefLabel": "united states"
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      ],
      "landingPage": {
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      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/occ/data/american-relief-act-2025-allocation-tables-tribes",
          "downloadURL": "https://acf.gov/sites/default/files/documents/occ/American-Relief-Act-of-2025-Allocation-Tables-Tribes.xlsx",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0124",
      "title": "CCDF Expenditures for FY 1999 as of 9/30/1999",
      "description": "This dataset contains Child Care and Development Fund (CCDF) state and territory expenditure data. It summarizes expenditures by funding stream and category, including mandatory, federal/state matching, discretionary, maintenance-of-effort, administration, quality activities, direct and non-direct services, and total expenditures. It also includes unliquidated or unobligated amounts when available.",
      "contactPoint": [
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Child Care (OCC)",
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      },
      "accessRights": "public",
      "keyword": [
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        "financial assistance",
        "grants"
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      "theme": [
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          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
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        "title": "CCDF Expenditures for FY 1999 as of 9/30/1999 - Landing Page",
        "accessURL": "https://acf.gov/occ/data-0"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/occ/data/fy-1999-ccdf-state-expenditure-data",
          "downloadURL": "https://acf.gov/sites/default/files/documents/occ/99acf696_1999_0.xls",
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          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0125",
      "title": "CCDF Expenditures for FY 1999 as of 9/30/2000",
      "description": "This dataset contains Child Care and Development Fund (CCDF) state and territory expenditure data. It summarizes expenditures by funding stream and category, including mandatory, federal/state matching, discretionary, maintenance-of-effort, administration, quality activities, direct and non-direct services, and total expenditures. It also includes unliquidated or unobligated amounts when available.",
      "contactPoint": [
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      },
      "accessRights": "public",
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        "financial assistance",
        "grants"
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      "theme": [
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          "prefLabel": "human services"
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      ],
      "spatial": [
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      ],
      "landingPage": {
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      "distribution": [
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          "downloadURL": "https://acf.gov/sites/default/files/documents/occ/99acf696_2000_0.xls",
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0126",
      "title": "CCDF Expenditures for FY 2000 as of 9/30/2000",
      "description": "This dataset contains Child Care and Development Fund (CCDF) state and territory expenditure data. It summarizes expenditures by funding stream and category, including mandatory, federal/state matching, discretionary, maintenance-of-effort, administration, quality activities, direct and non-direct services, and total expenditures. It also includes unliquidated or unobligated amounts when available.",
      "contactPoint": [
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        "name": "Office of Child Care (OCC)",
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        ]
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      "keyword": [
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        "grants"
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      "theme": [
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          "prefLabel": "human services"
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      ],
      "spatial": [
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          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CCDF Expenditures for FY 2000 as of 9/30/2000 - Landing Page",
        "accessURL": "https://acf.gov/occ/data-0"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/occ/data/fy-2000-ccdf-state-expenditure-data",
          "downloadURL": "https://acf.gov/sites/default/files/documents/occ/00acf696_2000_0.xls",
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0127",
      "title": "CCDF Expenditures for FY 2000 as of 9/30/2002",
      "description": "This dataset contains Child Care and Development Fund (CCDF) state and territory expenditure data. It summarizes expenditures by funding stream and category, including mandatory, federal/state matching, discretionary, maintenance-of-effort, administration, quality activities, direct and non-direct services, and total expenditures. It also includes unliquidated or unobligated amounts when available.",
      "contactPoint": [
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        "subOrganizationOf": [
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      },
      "accessRights": "public",
      "keyword": [
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        "financial assistance",
        "grants"
      ],
      "theme": [
        {
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          "prefLabel": "human services"
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      ],
      "spatial": [
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          "prefLabel": "united states"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "CCDF Expenditures for FY 2000 as of 9/30/2002 - Landing Page",
        "accessURL": "https://acf.gov/occ/data-0"
      },
      "distribution": [
        {
          "@type": "Distribution",
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          "downloadURL": "https://acf.gov/sites/default/files/documents/occ/00acf696_2002_0.xls",
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0128",
      "title": "CCDF Expenditures for FY 2001 as of 9/30/2001",
      "description": "This dataset contains Child Care and Development Fund (CCDF) state and territory expenditure data. It summarizes expenditures by funding stream and category, including mandatory, federal/state matching, discretionary, maintenance-of-effort, administration, quality activities, direct and non-direct services, and total expenditures. It also includes unliquidated or unobligated amounts when available.",
      "contactPoint": [
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        "subOrganizationOf": [
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      },
      "accessRights": "public",
      "keyword": [
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        "financial assistance",
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      "theme": [
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          "prefLabel": "human services"
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      ],
      "spatial": [
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "CCDF Expenditures for FY 2001 as of 9/30/2001 - Landing Page",
        "accessURL": "https://acf.gov/occ/data-0"
      },
      "distribution": [
        {
          "@type": "Distribution",
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          "downloadURL": "https://acf.gov/sites/default/files/documents/occ/01acf696_2001_0.xls",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0129",
      "title": "CCDF Expenditures for FY 2001 as of 9/30/2002",
      "description": "This dataset contains Child Care and Development Fund (CCDF) state and territory expenditure data. It summarizes expenditures by funding stream and category, including mandatory, federal/state matching, discretionary, maintenance-of-effort, administration, quality activities, direct and non-direct services, and total expenditures. It also includes unliquidated or unobligated amounts when available.",
      "contactPoint": [
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        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
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        "grants"
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      "theme": [
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          "prefLabel": "human services"
        }
      ],
      "spatial": [
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "CCDF Expenditures for FY 2001 as of 9/30/2002 - Landing Page",
        "accessURL": "https://acf.gov/occ/data-0"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/occ/data/fy-2001-ccdf-state-expenditure-data",
          "downloadURL": "https://acf.gov/sites/default/files/documents/occ/01acf696_2002_0.xls",
          "mediaType": "application/vnd.ms-excel",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0130",
      "title": "CCDF Expenditures for FY 2001 as of 9/30/2003",
      "description": "This dataset contains Child Care and Development Fund (CCDF) state and territory expenditure data. It summarizes expenditures by funding stream and category, including mandatory, federal/state matching, discretionary, maintenance-of-effort, administration, quality activities, direct and non-direct services, and total expenditures. It also includes unliquidated or unobligated amounts when available.",
      "contactPoint": [
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        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
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        "grants"
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      "theme": [
        {
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          "prefLabel": "human services"
        }
      ],
      "spatial": [
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          "@type": "Location",
          "prefLabel": "united states"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "CCDF Expenditures for FY 2001 as of 9/30/2003 - Landing Page",
        "accessURL": "https://acf.gov/occ/data-0"
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      "distribution": [
        {
          "@type": "Distribution",
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          "downloadURL": "https://acf.gov/sites/default/files/documents/occ/01acf696_2003_0.xls",
          "mediaType": "application/vnd.ms-excel",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0131",
      "title": "CCDF Expenditures for FY 2002 as of 9/30/2002",
      "description": "This dataset contains Child Care and Development Fund (CCDF) state and territory expenditure data. It summarizes expenditures by funding stream and category, including mandatory, federal/state matching, discretionary, maintenance-of-effort, administration, quality activities, direct and non-direct services, and total expenditures. It also includes unliquidated or unobligated amounts when available.",
      "contactPoint": [
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      ],
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        "subOrganizationOf": [
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            "@type": "Organization",
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        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "financial assistance",
        "grants"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "CCDF Expenditures for FY 2002 as of 9/30/2002 - Landing Page",
        "accessURL": "https://acf.gov/occ/data-0"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/occ/data/fy-2002-ccdf-state-expenditure-data",
          "downloadURL": "https://acf.gov/sites/default/files/documents/occ/02acf696.xls",
          "mediaType": "application/vnd.ms-excel",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0132",
      "title": "CCDF Expenditures for FY 2002 as of 9/30/2003",
      "description": "This dataset contains Child Care and Development Fund (CCDF) state and territory expenditure data. It summarizes expenditures by funding stream and category, including mandatory, federal/state matching, discretionary, maintenance-of-effort, administration, quality activities, direct and non-direct services, and total expenditures. It also includes unliquidated or unobligated amounts when available.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OCC Technical Solutions",
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        }
      ],
      "publisher": {
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      "description": "This administrative dataset provides descriptive information about the families and children served through the federal Child Care and Development Fund (CCDF). CCDF dollars are provided to states, territories, and tribes to provide assistance to low-income families receiving or in transition from temporary public assistance, to obtain quality child care so they can work, or depending on their state's policy, to attend training or receive education. The Personal Responsibility and Work Opportunity Act of 1996 requires states and territories to collect information on all family units receiving assistance through the CCDF and to submit monthly case-level data to the Office of Child Care. States are permitted to report case-level data for the entire population, or a sample of the population, under approved sampling guidelines. The Summary Records file contains monthly state-level summary information including the number of families served. The Family Records file contains family-level data including single parent status of the head of household, monthly co-payment amount, date on which child care assistance began, reasons for care (e.g., employment, training/education, protective services, etc.), income used to determine eligibility, source of income, and the family size on which eligibility is based. The Child Records file contains child-level data including ethnicity, race, gender, and date of birth. The Setting Records file contains information about the type of child care setting, the total amount paid to the provider, and the total number of hours of care received by the child. The Pooling Factor file provides state-level data on the percentage of child care funds that is provided through the CCDF, the federal Head Start region the grantee (state) is in and is monitored by, and the state FIPS code for the grantee.",
      "contactPoint": [
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      ],
      "publisher": {
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        "name": "Office of Child Care (OCC)",
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          {
            "@type": "Organization",
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        ]
      },
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        "employment",
        "financial assistance"
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        }
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      "spatial": [
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0217",
      "title": "Child Care and Development Fund Administrative Data, Federal Fiscal Year 2009",
      "description": "This administrative dataset provides descriptive information about the families and children served through the federal Child Care and Development Fund (CCDF). CCDF dollars are provided to states, territories, and tribes to provide assistance to low-income families receiving or in transition from temporary public assistance, to obtain quality child care so they can work, or depending on their state's policy, to attend training or receive education. The Personal Responsibility and Work Opportunity Act of 1996 requires states and territories to collect information on all family units receiving assistance through the CCDF and to submit monthly case-level data to the Office of Child Care. States are permitted to report case-level data for the entire population, or a sample of the population, under approved sampling guidelines. The Summary Records file contains monthly state-level summary information including the number of families served. The Family Records file contains family-level data including single parent status of the head of household, monthly co-payment amount, date on which child care assistance began, reasons for care (e.g., employment, training/education, protective services, etc.), income used to determine eligibility, source of income, and the family size on which eligibility is based. The Child Records file contains child-level data including ethnicity, race, gender, and date of birth. The Setting Records file contains information about the type of child care setting, the total amount paid to the provider, and the total number of hours of care received by the child. The Pooling Factor file provides state-level data on the percentage of child care funds that is provided through the CCDF, the federal Head Start region the grantee (state) is in and is monitored by, and the state FIPS code for the grantee.",
      "contactPoint": [
        {
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          "hasEmail": "mailto:occts@acf.hhs.gov"
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      ],
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      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "early childhood services",
        "employment",
        "financial assistance",
        "grants"
      ],
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          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
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      ],
      "inventoried": "2026-09-27"
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    {
      "@type": "Dataset",
      "identifier": "acf-occ-0218",
      "title": "Child Care and Development Fund Administrative Data, Federal Fiscal Year 2010",
      "description": "This administrative dataset provides descriptive information about the families and children served through the federal Child Care and Development Fund (CCDF). CCDF dollars are provided to states, territories, and tribes to provide assistance to low-income families receiving or in transition from temporary public assistance, to obtain quality child care so they can work, or depending on their state's policy, to attend training or receive education. The Personal Responsibility and Work Opportunity Act of 1996 requires states and territories to collect information on all family units receiving assistance through the CCDF and to submit monthly case-level data to the Office of Child Care. States are permitted to report case-level data for the entire population, or a sample of the population, under approved sampling guidelines. The Summary Records file contains monthly state-level summary information including the number of families served. The Family Records file contains family-level data including single parent status of the head of household, monthly co-payment amount, date on which child care assistance began, reasons for care (e.g., employment, training/education, protective services, etc.), income used to determine eligibility, source of income, and the family size on which eligibility is based. The Child Records file contains child-level data including ethnicity, race, gender, and date of birth. The Setting Records file contains information about the type of child care setting, the total amount paid to the provider, and the total number of hours of care received by the child. The Pooling Factor file provides state-level data on the percentage of child care funds that is provided through the CCDF, the federal Head Start region the grantee (state) is in and is monitored by, and the state FIPS code for the grantee.",
      "contactPoint": [
        {
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      "publisher": {
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      "keyword": [
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        "early childhood services",
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        }
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0219",
      "title": "Child Care and Development Fund Administrative Data, Federal Fiscal Year 2011",
      "description": "This administrative dataset provides descriptive information about the families and children served through the federal Child Care and Development Fund (CCDF). CCDF dollars are provided to states, territories, and tribes to provide assistance to low-income families receiving or in transition from temporary public assistance, to obtain quality child care so they can work, or depending on their state's policy, to attend training or receive education. The Personal Responsibility and Work Opportunity Act of 1996 requires states and territories to collect information on all family units receiving assistance through the CCDF and to submit monthly case-level data to the Office of Child Care. States are permitted to report case-level data for the entire population, or a sample of the population, under approved sampling guidelines. The Summary Records file contains monthly state-level summary information including the number of families served. The Family Records file contains family-level data including single parent status of the head of household, monthly co-payment amount, date on which child care assistance began, reasons for care (e.g., employment, training/education, protective services, etc.), income used to determine eligibility, source of income, and the family size on which eligibility is based. The Child Records file contains child-level data including ethnicity, race, gender, and date of birth. The Setting Records file contains information about the type of child care setting, the total amount paid to the provider, and the total number of hours of care received by the child. The Pooling Factor file provides state-level data on the percentage of child care funds that is provided through the CCDF, the federal Head Start region the grantee (state) is in and is monitored by, and the state FIPS code for the grantee.",
      "contactPoint": [
        {
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          "hasEmail": "mailto:occts@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Child Care (OCC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "early childhood services",
        "financial assistance"
      ],
      "theme": [
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          "prefLabel": "human services"
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      ],
      "spatial": [
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          "prefLabel": "united states"
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      ],
      "landingPage": {
        "@type": "Document",
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        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
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      "distribution": [
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0220",
      "title": "Child Care and Development Fund Administrative Data, Federal Fiscal Year 2012",
      "description": "This administrative dataset provides descriptive information about the families and children served through the federal Child Care and Development Fund (CCDF). CCDF dollars are provided to states, territories, and tribes to provide assistance to low-income families receiving or in transition from temporary public assistance, to obtain quality child care so they can work, or depending on their state's policy, to attend training or receive education. The Personal Responsibility and Work Opportunity Act of 1996 requires states and territories to collect information on all family units receiving assistance through the CCDF and to submit monthly case-level data to the Office of Child Care. States are permitted to report case-level data for the entire population, or a sample of the population, under approved sampling guidelines. The Summary Records file contains monthly state-level summary information including the number of families served. The Family Records file contains family-level data including single parent status of the head of household, monthly co-payment amount, date on which child care assistance began, reasons for care (e.g., employment, training/education, protective services, etc.), income used to determine eligibility, source of income, and the family size on which eligibility is based. The Child Records file contains child-level data including ethnicity, race, gender, and date of birth. The Setting Records file contains information about the type of child care setting, the total amount paid to the provider, and the total number of hours of care received by the child. The Pooling Factor file provides state-level data on the percentage of child care funds that is provided through the CCDF, the federal Head Start region the grantee (state) is in and is monitored by, and the state FIPS code for the grantee.",
      "contactPoint": [
        {
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Child Care (OCC)",
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            "name": "Administration for Children and Families (ACF)"
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      },
      "accessRights": "public",
      "keyword": [
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        "early childhood services",
        "employment",
        "financial assistance"
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      "theme": [
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      "landingPage": {
        "@type": "Document",
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        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0221",
      "title": "Child Care and Development Fund Administrative Data, Federal Fiscal Year 2013",
      "description": "This administrative dataset provides descriptive information about the families and children served through the federal Child Care and Development Fund (CCDF). CCDF dollars are provided to states, territories, and tribes to provide assistance to low-income families receiving or in transition from temporary public assistance, to obtain quality child care so they can work, or depending on their state's policy, to attend training or receive education. The Personal Responsibility and Work Opportunity Act of 1996 requires states and territories to collect information on all family units receiving assistance through the CCDF and to submit monthly case-level data to the Office of Child Care. States are permitted to report case-level data for the entire population, or a sample of the population, under approved sampling guidelines. The Summary Records file contains monthly state-level summary information including the number of families served. The Family Records file contains family-level data including single parent status of the head of household, monthly co-payment amount, date on which child care assistance began, reasons for care (e.g., employment, training/education, protective services, etc.), income used to determine eligibility, source of income, and the family size on which eligibility is based. The Child Records file contains child-level data including ethnicity, race, gender, and date of birth. The Setting Records file contains information about the type of child care setting, the total amount paid to the provider, and the total number of hours of care received by the child. The Pooling Factor file provides state-level data on the percentage of child care funds that is provided through the CCDF, the federal Head Start region the grantee (state) is in and is monitored by, and the state FIPS code for the grantee.",
      "contactPoint": [
        {
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      ],
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0222",
      "title": "Child Care and Development Fund Administrative Data, Federal Fiscal Year 2014",
      "description": "This administrative dataset provides descriptive information about the families and children served through the federal Child Care and Development Fund (CCDF). CCDF dollars are provided to states, territories, and tribes to provide assistance to low-income families receiving or in transition from temporary public assistance, to obtain quality child care so they can work, or depending on their state's policy, to attend training or receive education. The Personal Responsibility and Work Opportunity Act of 1996 requires states and territories to collect information on all family units receiving assistance through the CCDF and to submit monthly case-level data to the Office of Child Care. States are permitted to report case-level data for the entire population, or a sample of the population, under approved sampling guidelines. The Summary Records file contains monthly state-level summary information including the number of families served. The Family Records file contains family-level data including single parent status of the head of household, monthly co-payment amount, date on which child care assistance began, reasons for care (e.g., employment, training/education, protective services, etc.), income used to determine eligibility, source of income, and the family size on which eligibility is based. The Child Records file contains child-level data including ethnicity, race, gender, and date of birth. The Setting Records file contains information about the type of child care setting, the total amount paid to the provider, and the total number of hours of care received by the child. The Pooling Factor file provides state-level data on the percentage of child care funds that is provided through the CCDF, the federal Head Start region the grantee (state) is in and is monitored by, and the state FIPS code for the grantee.",
      "contactPoint": [
        {
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0223",
      "title": "Child Care and Development Fund Administrative Data, [United States], Federal Fiscal Year 2015",
      "description": "This administrative dataset provides descriptive information about the families and children served through the federal Child Care and Development Fund (CCDF). CCDF dollars are provided to states, territories, and tribes to provide assistance to low-income families receiving or in transition from temporary public assistance, to obtain quality child care so they can work, or depending on their state's policy, to attend training or receive education. The Personal Responsibility and Work Opportunity Act of 1996 requires states and territories to collect information on all family units receiving assistance through the CCDF and to submit monthly case-level data to the Office of Child Care. States are permitted to report case-level data for the entire population, or a sample of the population, under approved sampling guidelines.The Summary Records file contains monthly state-level summary information including the number of families served. The Family Records file contains family-level data including single parent status of the head of household, monthly co-payment amount, date on which child care assistance began, reasons for care (e.g., employment, training/education, protective services, etc.), income used to determine eligibility, source of income, and the family size on which eligibility is based. The Child Records file contains child-level data including ethnicity, race, gender, and date of birth. The Setting Records file contains information about the type of child care setting, the total amount paid to the provider, and the total number of hours of care received by the child. The Pooling Factor file provides state-level data on the percentage of child care funds that is provided through the CCDF, the federal Head Start region the grantee (state) is in and is monitored by, and the state FIPS code for the grantee.",
      "contactPoint": [
        {
          "@type": "Kind",
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          "hasEmail": "mailto:occts@acf.hhs.gov"
        }
      ],
      "publisher": {
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        ]
      },
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        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
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      "distribution": [
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0224",
      "title": "Child Care and Development Fund Administrative Data, [United States], Federal Fiscal Year 2016",
      "description": "This administrative dataset provides descriptive information about the families and children served through the federal Child Care and Development Fund (CCDF). CCDF dollars are provided to states, territories, and tribes to provide assistance to low-income families receiving or in transition from temporary public assistance, to obtain quality child care so they can work, or depending on their state's policy, to attend training or receive education. The Personal Responsibility and Work Opportunity Act of 1996 requires states and territories to collect information on all family units receiving assistance through the CCDF and to submit monthly case-level data to the Office of Child Care. States are permitted to report case-level data for the entire population, or a sample of the population, under approved sampling guidelines. The Summary Records file contains monthly state-level summary information including the number of families served. The Family Records file contains family-level data including single parent status of the head of household, monthly co-payment amount, date on which child care assistance began, reasons for care (e.g., employment, training/education, protective services, etc.), income used to determine eligibility, source of income, and the family size on which eligibility is based. The Child Records file contains child-level data including ethnicity, race, gender, and date of birth. The Setting Records file contains information about the type of child care setting, the total amount paid to the provider, and the total number of hours of care received by the child. The Pooling Factor file provides state-level data on the percentage of child care funds that is provided through the CCDF, the federal Head Start region the grantee (state) is in and is monitored by, and the state FIPS code for the grantee.",
      "contactPoint": [
        {
          "@type": "Kind",
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          "hasEmail": "mailto:occts@acf.hhs.gov"
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      ],
      "publisher": {
        "@type": "Organization",
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        ]
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      "accessRights": "public",
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        "early childhood services",
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        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/37264"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-occ-0225",
      "title": "Child Care and Development Fund Administrative Data, [United States], Federal Fiscal Year 2017",
      "description": "This administrative dataset provides descriptive information about the families and children served through the federal Child Care and Development Fund (CCDF). CCDF dollars are provided to states, territories, and tribes to provide assistance to low-income families receiving or in transition from temporary public assistance, to obtain quality child care so they can work, or depending on their state's policy, to attend training or receive education. The Personal Responsibility and Work Opportunity Act of 1996 requires states and territories to collect information on all family units receiving assistance through the CCDF and to submit monthly case-level data to the Office of Child Care. States are permitted to report case-level data for the entire population, or a sample of the population, under approved sampling guidelines. The Summary Records file contains monthly state-level summary information including the number of families served. The Family Records file contains family-level data including single parent status of the head of household, monthly co-payment amount, date on which child care assistance began, reasons for care (e.g., employment, training/education, protective services, etc.), income used to determine eligibility, source of income, and the family size on which eligibility is based. The Child Records file contains child-level data including ethnicity, race, gender, and date of birth. The Setting Records file contains information about the type of child care setting, the total amount paid to the provider, and the total number of hours of care received by the child. The Pooling Factor file provides state-level data on the percentage of child care funds that is provided through the CCDF, the federal Head Start region the grantee (state) is in and is monitored by, and the state FIPS code for the grantee.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OCC Technical Solutions",
          "hasEmail": "mailto:occts@acf.hhs.gov"
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0106",
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        {
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0107",
      "title": "TANF Application Data (FY2024)",
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
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      ],
      "inventoried": "2026-09-27"
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    {
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      "identifier": "acf-ofa-0109",
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      "landingPage": {
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      "distribution": [
        {
          "@type": "Distribution",
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      ],
      "inventoried": "2026-09-27"
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    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0110",
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        {
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        {
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0111",
      "title": "AFDC Case Load Data (FY1996) - 15 months",
      "description": "The dataset presents caseload data for the Aid to Families with Dependent Children (AFDC) program, including monthly counts of families and recipients at the state level.",
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      "@type": "Dataset",
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      "title": "AFDC/TANF Case Load Data (FY1997) - 12 months",
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      ],
      "inventoried": "2026-09-27"
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      "@type": "Dataset",
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      "spatial": [
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      "distribution": [
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0114",
      "title": "TANF Case Load Data (FY1998)",
      "description": "The dataset presents caseload data for the Temporary Assistance for Needy Families (TANF) program, including monthly counts of families and recipients at the state level.",
      "contactPoint": [
        {
          "@type": "Kind",
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      "keyword": [
        "financial assistance"
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      "theme": [
        {
          "@type": "Concept",
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      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "TANF Case Load Data (FY1998) - Landing Page",
        "accessURL": "https://acf.gov/ofa/programs/tanf/data-reports"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/archive/ofa/data/resource/caseload-data-1998",
          "downloadURL": "https://acf.gov/sites/default/files/documents/ofa/1998_15months.xls",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0115",
      "title": "TANF Case Load Data (FY1999)",
      "description": "The dataset presents caseload data for the Temporary Assistance for Needy Families (TANF) program, including monthly counts of families and recipients at the state level.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "TANF Data",
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      ],
      "publisher": {
        "@type": "Organization",
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      },
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      "keyword": [
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      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "TANF Case Load Data (FY1999) - Landing Page",
        "accessURL": "https://acf.gov/ofa/programs/tanf/data-reports"
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      "distribution": [
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          "@type": "Distribution",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0116",
      "title": "TANF Case Load Data (FY2000)",
      "description": "The dataset presents caseload data for the Temporary Assistance for Needy Families (TANF) program, including monthly counts of families and recipients. It provides state-level breakdowns of total families, two-parent, one-parent, and no-parent families, as well as total recipients, adults, and children.",
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          "@type": "Kind",
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      "publisher": {
        "@type": "Organization",
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      },
      "accessRights": "public",
      "keyword": [
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      ],
      "theme": [
        {
          "@type": "Concept",
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      ],
      "spatial": [
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          "@type": "Location",
          "prefLabel": "united states"
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      ],
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      "distribution": [
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          "downloadURL": "https://acf.gov/sites/default/files/documents/ofa/2000_15months_tan.xls",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0117",
      "title": "SSP-MOE Case Load Data (FY2000)",
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      "contactPoint": [
        {
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      "accessRights": "public",
      "keyword": [
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      "theme": [
        {
          "@type": "Concept",
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      ],
      "spatial": [
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          "prefLabel": "united states"
        }
      ],
      "landingPage": {
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      },
      "distribution": [
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          "downloadURL": "https://acf.gov/sites/default/files/documents/ofa/2000_15months_ssp.xls",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0118",
      "title": "TANF and SSP-MOE Case Load Data (FY2000)",
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      "contactPoint": [
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          "@type": "Kind",
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        ]
      },
      "accessRights": "public",
      "keyword": [
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      "theme": [
        {
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      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
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        "accessURL": "https://acf.gov/ofa/programs/tanf/data-reports"
      },
      "distribution": [
        {
          "@type": "Distribution",
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          "downloadURL": "https://acf.gov/sites/default/files/documents/ofa/2000_15months_tanssp.xls",
          "mediaType": "application/vnd.ms-excel",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0119",
      "title": "TANF Case Load Data (FY2001)",
      "description": "The dataset presents caseload data for the Temporary Assistance for Needy Families (TANF) program, including monthly counts of families and recipients. It provides state-level breakdowns of total families, two-parent, one-parent, and no-parent families, as well as total recipients, adults, and children.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "TANF Data",
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      ],
      "publisher": {
        "@type": "Organization",
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        "accessURL": "https://acf.gov/ofa/programs/tanf/data-reports"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/ofa/data/tanf-federal-five-year-time-limit",
          "downloadURL": "https://acf.gov/sites/default/files/documents/ofa/timelimit_2019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0317",
      "title": "TANF Federal Five-Year Time Limit (FY2020)",
      "description": "The dataset describes state-level data on the Temporary Assistance for Needy Families (TANF) program’s federal five-year time limit. It includes information on family caseloads, countable months of assistance toward the time limit, and exemptions from month accrual or termination of assistance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "TANF Data",
          "hasEmail": "mailto:TANFData@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Family Assistance (OFA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "TANF Federal Five-Year Time Limit (FY2020) - Landing Page",
        "accessURL": "https://acf.gov/ofa/programs/tanf/data-reports"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/ofa/data/tanf-federal-five-year-time-limit",
          "downloadURL": "https://acf.gov/sites/default/files/documents/ofa/timelimit_2020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0318",
      "title": "TANF Federal Five-Year Time Limit (FY2021)",
      "description": "The dataset describes state-level data on the Temporary Assistance for Needy Families (TANF) program’s federal five-year time limit. It includes information on family caseloads, countable months of assistance toward the time limit, and exemptions from month accrual or termination of assistance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "TANF Data",
          "hasEmail": "mailto:TANFData@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Family Assistance (OFA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "TANF Federal Five-Year Time Limit (FY2021) - Landing Page",
        "accessURL": "https://acf.gov/ofa/programs/tanf/data-reports"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/ofa/data/tanf-federal-five-year-time-limit",
          "downloadURL": "https://acf.gov/sites/default/files/documents/ofa/timelimit_2021_0.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0319",
      "title": "TANF Federal Five-Year Time Limit (FY2022)",
      "description": "The dataset describes state-level data on the Temporary Assistance for Needy Families (TANF) program’s federal five-year time limit. It includes information on family caseloads, countable months of assistance toward the time limit, and exemptions from month accrual or termination of assistance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "TANF Data",
          "hasEmail": "mailto:TANFData@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Family Assistance (OFA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "TANF Federal Five-Year Time Limit (FY2022) - Landing Page",
        "accessURL": "https://acf.gov/ofa/programs/tanf/data-reports"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/ofa/data/tanf-federal-five-year-time-limit",
          "downloadURL": "https://acf.gov/sites/default/files/documents/ofa/fy2022-timelimit.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0320",
      "title": "TANF Federal Five-Year Time Limit (FY2023)",
      "description": "The dataset describes state-level data on the Temporary Assistance for Needy Families (TANF) program’s federal five-year time limit. It includes information on family caseloads, countable months of assistance toward the time limit, and exemptions from month accrual or termination of assistance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "TANF Data",
          "hasEmail": "mailto:TANFData@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Family Assistance (OFA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "TANF Federal Five-Year Time Limit (FY2023) - Landing Page",
        "accessURL": "https://acf.gov/ofa/programs/tanf/data-reports"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/ofa/data/tanf-federal-five-year-time-limit",
          "downloadURL": "https://acf.gov/sites/default/files/documents/ofa/timelimit_2023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0321",
      "title": "TANF Federal Five-Year Time Limit (FY2024)",
      "description": "The dataset describes state-level data on the Temporary Assistance for Needy Families (TANF) program’s federal five-year time limit. It includes information on family caseloads, countable months of assistance toward the time limit, and exemptions from month accrual or termination of assistance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "TANF Data",
          "hasEmail": "mailto:TANFData@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Family Assistance (OFA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "TANF Federal Five-Year Time Limit (FY2024) - Landing Page",
        "accessURL": "https://acf.gov/ofa/programs/tanf/data-reports"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/ofa/data/tanf-federal-five-year-time-limit",
          "downloadURL": "https://acf.gov/sites/default/files/documents/ofa/fy2024-timelimit.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0322",
      "title": "Tribal TANF Recipient Data (FY2008)",
      "description": "The dataset presents Tribal Temporary Assistance for Needy Families (TANF) recipient data, including monthly counts of participating families by tribe.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "TANF Data",
          "hasEmail": "mailto:TANFData@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Family Assistance (OFA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "financial assistance",
        "native american and tribal services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Tribal TANF Recipient Data (FY2008) - Landing Page",
        "accessURL": "https://acf.gov/ofa/programs/tribal/data-reports"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/ofa/data/tribal-tanf-caseload-data-fiscal-year-2008",
          "downloadURL": "https://acf.gov/sites/default/files/documents/ofa/2008tribaltanfrecipient.xls",
          "mediaType": "application/vnd.ms-excel",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0323",
      "title": "Tribal TANF Caseload Data (FY2008)",
      "description": "The dataset presents Tribal Temporary Assistance for Needy Families (TANF) caseload data, including monthly counts of participating families by tribe.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "TANF Data",
          "hasEmail": "mailto:TANFData@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Family Assistance (OFA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "financial assistance",
        "native american and tribal services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Tribal TANF Caseload Data (FY2008) - Landing Page",
        "accessURL": "https://acf.gov/ofa/programs/tribal/data-reports"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/ofa/data/tribal-tanf-caseload-data-fiscal-year-2008",
          "downloadURL": "https://acf.gov/sites/default/files/documents/ofa/2008tribaltanfcaseload.xls",
          "mediaType": "application/vnd.ms-excel",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0343",
      "title": "Claims Resolution Act Data (March 2011)",
      "description": "This dataset presents state-reported information on engagement in additional work activities and expenditures for other benefits and services under the Temporary Assistance for Needy Families (TANF) program. The data were collected pursuant to reporting requirements established by the Claims Resolution Act of 2010.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "TANF Data",
          "hasEmail": "mailto:TANFData@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Family Assistance (OFA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "employment",
        "financial assistance",
        "grants"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Claims Resolution Act Data (March 2011) - Landing Page",
        "accessURL": "https://acf.gov/ofa/programs/tanf/data-reports"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/ofa/report/claims-resolution-act-engagement-additional-work-activities-and-expenditures-other",
          "downloadURL": "https://acf.gov/sites/default/files/documents/cra_report-to-congress-march2011_0.xls",
          "mediaType": "application/vnd.ms-excel",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ofa-0344",
      "title": "Claims Resolution Act Data (April 2011 - June 2011)",
      "description": "This dataset presents state-reported information on engagement in additional work activities and expenditures for other benefits and services under the Temporary Assistance for Needy Families (TANF) program. The data were collected pursuant to reporting requirements established by the Claims Resolution Act of 2010.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "TANF Data",
          "hasEmail": "mailto:TANFData@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Family Assistance (OFA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "employment",
        "financial assistance",
        "grants"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Claims Resolution Act Data (April 2011 - June 2011) - Landing Page",
        "accessURL": "https://acf.gov/ofa/programs/tanf/data-reports"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/ofa/policy-guidance/claims-resolution-act-engagement-additional-work-activities-and-expenditures",
          "downloadURL": "https://acf.gov/sites/default/files/documents/cra-june2011_0.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ohs-0001",
      "title": "Head Start Service Location Dataset",
      "description": "This dataset provides daily updated, self reported information on Head Start service locations nationwide, including site addresses, grant and program administration details, and service types. Users can generate customized files by city, state, ZIP code, or grant number in CSV, XML, or JSON formats.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OHS Data",
          "hasEmail": "mailto:OHSdata@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Head Start (OHS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "early childhood services",
        "education",
        "family support services",
        "native american and tribal services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Head Start Service Location Dataset - Landing Page",
        "accessURL": "https://headstart.gov/about-us/article/head-start-service-location-datasets"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://headstart.gov/about-us/article/head-start-service-location-datasets",
          "downloadURL": "https://s3foa.s3.us-east-1.amazonaws.com/HS_Service_Locations.csv",
          "mediaType": "text/csv",
          "format": "CSV"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-ohs-0002",
      "title": "Program Information Report (PIR)",
      "description": "This dataset contains annual Program Information Report (PIR) data submitted by Head Start and Early Head Start programs. It includes information on enrolled children and families, services provided, program operations, staff characteristics, health and disability services, and program enrollment and participation. Data are reported at program, grant, state, regional, and national levels.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OHS Data",
          "hasEmail": "mailto:OHSdata@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Head Start (OHS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "early childhood services",
        "education",
        "family support services",
        "native american and tribal services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Program Information Report (PIR) - Landing Page",
        "accessURL": "https://hses.ohs.acf.hhs.gov/pir/reports"
      },
      "rights": [
        "The full PIR data set, prior year reports, and forms are available via login into HSES, which can be granted to the public upon request. Contact the HSES (help@hsesinfo.org ) help desk to request a login.\n"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://headstart.gov/program-data/article/program-information-report-pir"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0001",
      "title": "Evaluation of the First Round of Health Profession Opportunity Grants (HPOG 1.0), United States, 2010-2020",
      "description": "The Health Profession Opportunity Grants (HPOG), administered by the Administration for Children and Families, U.S. Department of Health and Human Services, was created to provide education and training to Temporary Assistance for Needy Families (TANF) recipients and other low-income individuals for occupations in the healthcare field that pay well and are expected to either experience labor shortages or be in high demand. HPOG programs are expected to target skills and competencies demanded by the healthcare industry; support career pathways; result in an employer- or industry-recognized certificate or degree; combine supportive services with education and training services to help participants overcome barriers to employment; and provide services at times and locations that are easily accessible to targeted populations. In 2010, the first round of HPOG awards was made to 27 organizations located across 20 states to carry out five-year programs in their areas. The first round of HPOG grant awards is referred to as HPOG 1.0. In 2015, a second round of HPOG grant awards was made to 32 organizations located across 21 states for a new five-year period. This second round of grants is referred to as HPOG 2.0. HPOG is authorized as a demonstration program with a mandated federal evaluation. The Office of Planning, Research, and Evaluation (OPRE) is utilizing a multi-pronged evaluation strategy to document the operations and assess the success of the HPOG program. The evaluation strategy aims to provide information on program implementation, systems change, outcomes, and impacts. This collection is organized into 22 data parts, including: 3 HPOG National Implementation Evaluation datasets of employers (DS1), grantees (DS2), and management and staff (DS3) surveys; a HPOG 15-month follow-up survey dataset (DS4); an analysis file with HPOG participant covariates and outcomes (DS5); 6 Performance Reporting System (PRS) datasets; 3 datasets from the Pathways for Advancing Careers and Education Evaluation (PACE) containing a subset of respondents who participated in both HPOG and PACE studies; 5 datasets from the 3 year follow up impact reports (DS15 to DS20); and 2 datasets from the 6 year follow up impact reports (DS21 and DS22). The PRS is the federal management information system for HPOG grantees that was designed to support participant record and case management, program performance measurement, and program evaluation research. The Participant dataset (DS6) is at the person-level and contains background information on participants at the time of intake into the HPOG program. The Participant Supplemental dataset (DS7) is at the person-level and contains supplemental information for participants who participated in the HPOG impact evaluation. The Education dataset (DS8) contains the date and type of remedial pre-training activities of participants during the HPOG program. This dataset is at the training-level, with one row for each educational activity. The Employment dataset (DS9) contains the date and type of employment development activities of participants during the HPOG program, as well as job characteristics of participants who find employment. This dataset is at the employment activity level, with one row for each employment activity. The Services dataset (DS10) is at the person-level and contains the date and type of supportive services received by participants from the HPOG program. The Training dataset (DS11) contains the date and type of vocational training received by participants from the HPOG program. This dataset is at the training level, with one row for each occupational training activity. The PACE study was designed to produce rigorous evidence for policymakers, practitioners, and researchers about the effectiveness of nine career pathways approaches that sought to increase credentials, employment, and self-sufficiency among low-income, low-skilled Americans. The 3 HPOG subset datasets from this study include the Basic Information Form Data File (DS12), the First Follow-Up Data File (DS13), and the Self-Administered Questionnaire Data File (DS14). For more information about the PACE study, please see its ICPSR study page (ICPSR #37289). The follow-up impact report contains a 3 Year Updated Analysis Data File (DS15). Augmented Credentials Data File (DS16) contains data about previous academic and trade school accreditations. Augmented Job Spells Data File (DS17) pertains to the participant's duration of the training and income-based questions. Augmented School Spells Data File (DS18) contains data about the duration of education. Job Conditions Data File (DS19) pertains to job conditions and coworker support. Person Level Data File (DS20) contains person-level data on job benefits and conditions, training, income, self-perception, support networks, and childcare. The 6 year follow-up impact report contains a 6 year Updated Analysis Data File (DS21) and a 6 Year Survey Data File (DS22). Various demographic information, such as age, sex, race, and ethnicity, is also included in the data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "education",
        "employment",
        "grants"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Evaluation of the First Round of Health Profession Opportunity Grants (HPOG 1.0), United States, 2010-2020 - Landing Page",
        "accessURL": "https://acf.gov/opre/project/archived-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/37290"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0002",
      "title": "Evaluation of the Second Round of Health Profession Opportunity Grants (HPOG 2.0), United States, 2015-2025",
      "description": "The Health Profession Opportunity Grants (HPOG), administered by the Administration for Children and Families, U.S. Department of Health and Human Services, was created to provide education and training to Temporary Assistance for Needy Families (TANF) recipients and other low-income individuals for occupations in the healthcare field that pay well and were expected to either experience labor shortages or be in high demand. Following on a first round of HPOG awards in 2010 (\"HPOG 1.0\"), a second round of 32 five-year grants across 21 states were funded in 2015 (\"HPOG 2.0\"). After an additional one-year extension, the HPOG 2.0 grants concluded in 2021. Local HPOG programs were expected to target skills and competencies demanded by the healthcare industry; support career pathways; result in an employer- or industry-recognized certificate or degree; combine supportive services with education and training services to help participants overcome barriers to employment; and provide services at times and locations that are easily accessible to targeted populations. HPOG was authorized as a demonstration program with a mandated federal evaluation. The Office of Planning, Research, and Evaluation (OPRE) is utilizing a multi-pronged evaluation strategy to document the operations and assess the success of the HPOG program. The evaluation strategy for HPOG 2.0 includes several key components: the impact evaluation randomly assigns eligible participants to either a treatment group that has access to HPOG services or a control group that does not have access to HPOG but can receive other services available in the community (\"business as usual\") to assess the impacts of the HPOG programs. Data from the short-term impact evaluation are DS1-DS5. The participant and program data includes baseline intake and services data, including data captured in the HPOG 2.0 Participant Accomplishment and Grant Evaluation System (PAGES), a participant tracking and program management system that included data on participant characteristics, engagement in activities and services, and training and employment outcomes. PAGES also included the activities and supports that grantees offered. HPOG 2.0 grantee staff entered data in PAGES. Data from baseline and PAGES are DS6-DS11. The descriptive evaluation includes implementation, outcomes, and local service delivery systems studies of the grants and will help interpret findings from the impact study. The descriptive study also includes in-depth qualitative interviews with a small sample of HPOG study participants. Data from the in-depth interviews are available in ICPSR 38561. The cost benefit analyses will assess the costs and benefits of a standard HPOG program. Data from this component are forthcoming. For more information, users are encouraged to see the National Evaluation of the 2nd Generation of Health Profession Opportunity Grants (HPOG 2.0 National Evaluation) on the OPRE website.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "education",
        "employment",
        "grants"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Evaluation of the Second Round of Health Profession Opportunity Grants (HPOG 2.0), United States, 2015-2025 - Landing Page",
        "accessURL": "https://acf.gov/opre/project/archived-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/38427"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0003",
      "title": "Evaluation of the Second Round of Health Profession Opportunity Grants (HPOG 2.0) Participant Interview Data, United States, 2015-2025",
      "description": "The purpose of the Health Profession Opportunity Grants (HPOG) Program was to provide education and training to Temporary Assistance for Needy Families (TANF) recipients and other individuals with low incomes for occupations in the healthcare field that pay well and are expected to either experience labor shortages or be in high demand. HPOG programs used the career pathways framework that combines education, occupational training, and support services to help participants enter and advance in a sequence of occupations within a specific sector or occupational cluster. Such programs seek to address many of the challenges that might prevent low-income and other disadvantaged adults from succeeding on a chosen pathway. For example, programs are flexible, with strong supports, and connect participants to employers and employment, including work-based learning opportunities. HPOG programs were expected to target skills and competencies demanded by the healthcare industry; support clearly defined career pathways; result in an employer- or industry-recognized certificate or degree; combine supportive services with education and training services to help participants overcome barriers to employment; and provide training and services at times and locations that are easily accessible to targeted populations. Both rounds of HPOG funding were administered by the Office of Family Assistance (OFA) within the Administration for Children and Families (ACF) in the U.S. Department of Health and Human Services. In 2010, OFA awarded a first round of five-year HPOG funding (HPOG 1.0) to 32 organizations located across 23 states. In 2015, OFA awarded a second round of HPOG funding (HPOG 2.0) to 32 organizations located across 21 states for a new five-year period. Abt Associates and its partners conducted a National Evaluation of HPOG 2.0. The Abt research team (Abt) conducted in-depth interviews with program participants as part of the Descriptive Evaluation component of the National Evaluation. The goal of these in-depth interviews was to gain insights into the motivations, decision making, expectations, and experiences of HPOG 2.0 program participants. The sample included 153 program participants across 14 local HPOG 2.0 programs. Interviews were semi-structured and covered a common set of topics: career pathways; employment and education histories; experience of the HPOG 2.0 training; managing work, family, and training; and finances. Quantitative data from HPOG 2.0 are available in ICPSR 38247.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "education",
        "employment",
        "grants"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Evaluation of the Second Round of Health Profession Opportunity Grants (HPOG 2.0) Participant Interview Data, United States, 2015-2025 - Landing Page",
        "accessURL": "https://acf.gov/opre/project/archived-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/38561"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0004",
      "title": "Pathways for Advancing Careers and Education (PACE) Evaluation, United States, 2011-2020",
      "description": "The Pathways for Advancing Careers and Education (PACE) study was designed to produce rigorous evidence for policymakers, practitioners, and researchers about the effectiveness of nine career pathways approaches that sought to increase credentials, employment, and self-sufficiency among low-income, low-skilled Americans. Funded by the U.S. Department of Health and Human Services' Administration for Children and Families, Office of Planning, Research, and Evaluation, PACE included nine program-specific evaluation reports. The study was led by Abt Associates, in partnership with MEF Associates, The Urban Institute, and the University of Michigan. Each program-specific evaluation included an implementation study that examined the design and operation of the program and enrolled students' participation patterns, and an impact study that used an experimental design to measure differences in educational and employment outcomes between individuals randomly assigned to a group that could receive services from the PACE program (treatment group) and a group that could not but could participate in other services in the community (control group). Program impacts were measured 18 to 24 months following random assignment, depending on the program. Follow-up impact reports will cover three and six years after random assignment. The collection includes the following 15 data files: Analysis Data File (9,242 cases; 152 variables); Basic Information Form Data File (9,242 cases; 79 variables); Case Manager/Advisor Data File (108 cases; 223 variables); Instructional Staff Data File (135 cases; 510 variables); Manager/Supervisor Data File (41 cases; 202 variables); First Follow-up Data File (7,139 cases; 1,432 variables); Self-Administered Questionnaire Data File (9,242 cases; 96 variables); 3 Year Updated Analysis Data File (9,242 cases; 1,676 variables); Augmented Credentials Data File (5,862 cases; 29 variables); Augmented Job Spells Data File (13,540 cases; 31 variables); Augmented School Spells Data File (7,013 cases; 29 variables); Job Conditions Data File (5,702 cases; 28 variables); Person Level Data File (6,772 cases; 290 variables); 6 Year Follow-up Survey Data File (3,279 cases; 322 variables); and 6 Year Updated Analysis Data File (3,279 cases; 177 variables).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "education",
        "employment"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Pathways for Advancing Careers and Education (PACE) Evaluation, United States, 2011-2020 - Landing Page",
        "accessURL": "https://acf.gov/opre/project/archived-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/37289"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0005",
      "title": "Behavioral Interventions to Advance Self-Sufficiency (BIAS) Project",
      "description": "The Behavioral Interventions to Advance Self-Sufficiency (BIAS) project is the first major opportunity to use a behavioral economics lens to examine programs that serve poor and vulnerable families in the United States. Sponsored by the Office of Planning, Research and Evaluation (OPRE) of the Administration for Children and Families (ACF) in the U.S. Department of Health and Human Services and led by MDRC, the project applies behavioral insights to issues related to the operations, implementation, and efficacy of social service programs and policies. The goal is to learn how tools from behavioral science can be used to deliver programs more effectively and, ultimately, improve the well-being of low-income children, adults, and families.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child care and assistance",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Behavioral Interventions to Advance Self-Sufficiency (BIAS) Project - Landing Page",
        "accessURL": "https://acf.gov/opre/project/archived-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.openicpsr.org/openicpsr/project/100389/version/V1/view"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0006",
      "title": "Enhanced Services for the Hard-to-Employ Demonstration and Evaluation Project, Philadelphia, PA",
      "description": "The Enhanced Services for the Hard-to-Employ (HtE) Demonstration and Evaluation Project was a 10-year study (taken on by the MDRC) that evaluated innovative strategies aimed at improving employment and other outcomes for groups who face serious barriers to employment. The Enhanced Services for the Hard-to-Employ was the first comprehensive attempt to understand the diverse low-income population and to test interventions aimed at the most common barriers to this population's employment. The HtE demonstration was designed to evaluate a variety of innovative ways to boost employment, reduce welfare receipt, and promote well-being in low-income populations. This study tests two employment strategies. The first employment strategy, administered by the Transitional Work Corporation (TWC), was a paid transitional employment program that combined temporary, subsidized employment with work-related assistance. The second employment strategy, the Success Through Employment Preparation (STEP) program, focused on assessing and treating employment barriers before participants obtained a job. From 2004 to 2006, 1,942 recipients of Temporary Assistance for Needy Families (TANF) who were not currently employed or participating in work activities were randomly assigned to one of the two program groups. Evaluation of the programs had three components: implementation and process analysis, impact analysis, and cost analysis. The implementation and process analysis examined how the programs operated, based primarily on site visits and interviews with program staff and administrators. The impact analysis measured the programs' effects on outcomes including employment, welfare use, and family functioning. The cost analysis compares the financial costs of the interventions. Outcomes for both groups were followed for at least three years, using public administrative records and surveys of study participants. In addition, follow-up surveys were conducted 15 and 36 months after random assignment in most sites. Information was collected on whether respondents participated in employment, vocational or education training activity. Respondents were asked whether they received help for things such as childcare, getting and/or keeping Medicaid and food stamps, paying for transportation, substance abuse treatment, addressing domestic violence, addressing legal issues, financial needs, or handling their household budget. Respondents were also asked if they received paid vacation time or sick days, where their income came from, and whether they earned any type of degree or certificate. Additional topics include health status, the length of time respondents received TANF funds, and employment history. Demographic information includes age, race, marital status, education, employment status, and home ownership status.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "employment",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Enhanced Services for the Hard-to-Employ Demonstration and Evaluation Project, Philadelphia, PA - Landing Page",
        "accessURL": "https://acf.gov/opre/project/archived-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.icpsr.umich.edu/web/ICPSR/studies/33784"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0007",
      "title": "Enhanced Services for the Hard-to-Employ Center for Employment Opportunities (CEO), New York City",
      "description": "This dataset contains data from the Enhanced Services for the Hard-to-Employ Center for Employment Opportunities (CEO) evaluation in New York City, a randomized study of 977 former prisoners which tested whether CEO's transitional jobs and other services were more effective than basic job search assistance for former prisoners. It includes administrative records, experimental data, and survey data on employment history, recidivism history, parole, arrests and convictions, CEO services, work, wages, child relationships, and demographics.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "employment",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "state"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Enhanced Services for the Hard-to-Employ Center for Employment Opportunities (CEO), New York City - Landing Page",
        "accessURL": "https://acf.gov/opre/project/archived-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.icpsr.umich.edu/web/ICPSR/studies/33783"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0008",
      "title": "Enhanced Services for the Hard-to-Employ Demonstration and Evaluation Project: Rhode Island, Working Toward Wellness",
      "description": "The Enhanced Services for the Hard-to-Employ (HtE) Demonstration and Evaluation Project was a 10-year study (taken on by the MDRC) that evaluated strategies aimed at improving employment and other outcomes for groups who face serious barriers to employment. The Enhanced Services for the Hard-to-Employ was the first comprehensive attempt to understand the diverse low-income population and to test interventions aimed at the most common barriers to this population's employment. The HtE demonstration was designed to assess ways to boost employment, reduce welfare receipt, and promote well-being in low-income populations. This study analyzed the effectiveness of the Rhode Island \"Working toward Wellness\" (WTW) program, a one-year program that provided telephonic care management to depressed parents receiving Medicaid in Rhode Island. The Quick Inventory of Depressive Symptomatology Self Report (QIDS-SR) questionnaire was administered to parents in order to identify those with major depression. All consenting parents who were found to have major depression were then assigned to the study. The Working Toward Wellness full research sample consisted of 499 individuals randomly assigned between November 2004 and October 2006 (245 members in the program group and 254 in the control group). The research team followed the two groups for three years using surveys. All 400 sample members completed a baseline survey at random assignment, providing basic demographic information, data on depression, other health outcomes, employment, participation in outreach programs, receipt of behavioral health services, and material hardship prior to enrollment in the study. Three follow up surveys were collected at the sixth month, eighteenth month, and thirty-sixth month marks. The WTW 6, 18, and 36 month reports include data from surveys administered to parents and children; however, only measures used in the adult/parent analysis are included due to restrictions. Care managers recorded information on attempted and completed calls with 230 members in the program group. Data was collected on respondent's general health, depression scores and treatments, substance abuse, work performance and attendance, as well as wages and income. Demographic information includes age, race, marital status, education, employment status, individual and household monthly income, as well as social security and disability status.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "employment",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Enhanced Services for the Hard-to-Employ Demonstration and Evaluation Project: Rhode Island, Working Toward Wellness - Landing Page",
        "accessURL": "https://acf.gov/opre/project/archived-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.icpsr.umich.edu/web/ICPSR/studies/33782"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0009",
      "title": "Employment Retention and Advancement (ERA) Project, United States, 2000-2007",
      "description": "The Employment Retention and Advancement (ERA) project was designed to fill the gap in knowledge about employment retention and advancement strategies that might be effective. The goal of ERA was to identify and rigorously test a diverse set of innovative models designed to promote employment stability and wage or earnings progression among current or former welfare recipients or other low-income groups. As part of ERA, over a dozen different program models have been evaluated over the past 10 years using random assignment research designs. These models embodied states' and localities' choices of program goals, target populations, and program features, and the programs were largely paid for through existing funding streams. The programs were thus \"real-world\" interventions initiated by practitioners and not programs set up and funded solely for research purposes. The diversity of the models presents an opportunity to explore the effectiveness of a variety of strategies implemented for different populations in order to identify what might work. This collection includes seven datasets, four classified as Core/Final Report Sites and three from Harder to Employ Sites. Almost all of the ERA programs targeted current or former recipients of Temporary Assistance for Needy Families (TANF), the cash welfare program that mainly serves single mothers and their children. The programs differed, however, in terms of when services were first provided and to whom. The Harder to Employ Sites files focus on the three ERA models that served harder to employ populations; (1) Tier 2 program in Minnesota: unemployed welfare-to-work participants who were in welfare-to-work services for a year or longer and hadn't been employed in the previous three months were given welfare-to-work services aimed at addressing barriers to employment which took into account their employment limitations. The Tier 2 program focused on assessing barriers to employment and addressing those barriers through referrals to appropriate services and close monitoring and follow-up. (2) New York City PRIDE: welfare recipients who were deemed \"employable with limitations\" were required to take part in welfare-to-work activities -- which emphasized unpaid work experience, education, and job placement assistance -- however, the program took into account their employment limitations when placing them in activities. The PRIDE program began with an in-depth assessment of participants' work and education history and their medical conditions. (3) New York City Substance Abuse Case Management (SACM): public assistance applicants and recipients who screened positive for signs of substance abuse were given a mandatory appointment to assess the level of substance abuse treatment needed. Depending on the outcome of the assessment, clients were referred to treatment, employment services, or a combination of both. Noncompliance at any stage resulted in sanctions and loss of public assistance benefits. Information was collected on respondents' employment status, job training, pay rate and benefits, occupation sector, health care, childcare, transportation, and a variety of job related topics. Demographic variables included household income, housing arrangements, number of people living in household, and respondent health status.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "education",
        "employment",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Employment Retention and Advancement (ERA) Project, United States, 2000-2007 - Landing Page",
        "accessURL": "https://acf.gov/opre/project/archived-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.icpsr.umich.edu/web/ICPSR/studies/33181"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0010",
      "title": "National Evaluation of Welfare-to Work Strategies",
      "description": "This dataset contains linked survey and administrative data from the National Evaluation of Welfare-to-Work Strategies, an HHS study of the effectiveness of eleven mandatory welfare-to-work programs in seven locales. It includes two-year and five-year follow-up files on economic outcomes, TANF and Food Stamp payments, educational attainment, family composition, housing, wage progression, employment, child care, depression, income, and child well-being.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "education",
        "employment",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "state"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Evaluation of Welfare-to Work Strategies - Landing Page",
        "accessURL": "https://acf.gov/opre/project/archived-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://aspe.hhs.gov/national-evaluation-welfare-work-strategies-data"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0011",
      "title": "Building Bridges and Bonds (B3), 5 U.S. states, 2016-2018",
      "description": "The importance of strong and supportive relationships between fathers and children, and the effects they can have on a child's development, is well established. Some fathers face personal or societal barriers to positive involvement with their children, such as low levels of education, stigma from criminal records, declining wages for low-skilled men, or family instability. Fathers who live apart from their children may be at a particular disadvantage. These obstacles interfere with fathers' capacity to provide financial and emotional support for their children, which is critical to a solid foundation for child well-being. Responsible Fatherhood programs aim to improve the well-being of low-income fathers and their children by addressing these types of barriers. Since 2006, Responsible Fatherhood programs across the country have received federal funding administered by the U.S. Department of Health and Human Services, Administration for Children and Families, Office of Family Assistance (OFA). These programs aim to promote positive father-child interactions, improve parents' relationship with each other, and build fathers' economic stability. Since their inception, Responsible Fatherhood programs have been evaluated to build evidence and determine their ability to achieve these goals. Past studies have found little evidence that Responsible Fatherhood programs are effective at improving the quality of father-child relationships. The limited evidence of effectiveness of prior programs motivated a search to identify new and innovative approaches. The Administration for Children and Families (ACF) Office of Planning, Research, and Evaluation (OPRE), with funding from OFA, initiated the Building Bridges and Bonds (B3) study in collaboration with researchers, practitioners, and fathers in an effort to identify and rigorously test new and promising ways to help fathers with low incomes improve relationships with their children and work toward economic stability. The B3 study design added three new program component enhancements to the usual services offered by existing Responsible Fatherhood programs at six program sites and estimated the impacts of each added component: the Cognitive Behavioral Intervention for Justice Involved Individuals Seeking Employment (CBI-Emp), which works with fathers with recent involvement in the criminal justice system and aims to help them find and keep better jobs by improving coping skills and encouraging positive thoughts, attitudes, and behaviors; Just Beginning (JB), a parenting intervention that works with fathers and their young children together to improve the quality of father-child interactions; and the DadTime engagement intervention, a smartphone app that aims to improve fathers' participation in the program by guiding and supporting them in making and following through on plans for attending Just Beginning workshops and prompting them to practice skills learned in the parenting intervention.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "employment",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Building Bridges and Bonds (B3), 5 U.S. states, 2016-2018 - Landing Page",
        "accessURL": "https://acf.gov/opre/project/archived-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.icpsr.umich.edu/web/ICPSR/studies/38159"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0012",
      "title": "Parents and Children Together (PACT) Healthy Marriage (HM) Study Data Collection, New York and Texas, 2013-2016",
      "description": "The Parents and Children Together (PACT) project included a large-scale, random assignment examination of two federally funded healthy marriage (HM) and relationship education programs. Two HM programs participated in the PACT HM impact study: (1) Supporting Healthy Relationships, at University Behavioral Associates in the Bronx, New York; and (2) the Healthy Opportunities for Marriage Enrichment Program, at the El Paso Center for Children in El Paso, Texas. The PACT evaluation team randomly assigned 1,595 eligible couples, dividing them between either (1) a program group, which was offered HM services, or (2) a control group, which was not offered these services. The data collection effort covered many topics, including relationship status and quality, coparenting, intimate partner violence, father involvement, employment and earnings, and social-emotional and mental well-being. The PACT data collection effort included attempts to collect data for each couple enrolled in the study from three data sources: (1) baseline surveys completed by all couples when they applied to a HM program in PACT, (2) follow-up surveys conducted with couples about one year after study enrollment, and (3) the PACT Information System (PACTIS), a web-based information management system. This data collection contains five parts: (1) the baseline survey raw data file, (2) the 12-month survey raw data file, (3) the program participation file, (4) the 12-month follow-up analysis file, and (5) the file containing analysis weights.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "employment",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Parents and Children Together (PACT) Healthy Marriage (HM) Study Data Collection, New York and Texas, 2013-2016 - Landing Page",
        "accessURL": "https://acf.gov/opre/project/archived-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.icpsr.umich.edu/web/ICPSR/studies/37843"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0013",
      "title": "Parents and Children Together (PACT) Responsible Fatherhood (RF) Study Data Collection, Kansas, Minnesota, and Missouri, 2012-2015",
      "description": "Parent and Children Together (PACT) Responsible Fatherhood (RF) project is an examination of the effects of federally funded responsible fatherhood programs. This project was interested in learning about service implications, the needs and experiences of participants, and the effectiveness of these services. To examine how parenting, relationships, socioeconomic status, and well-being are being affected by responsible fatherhood programs.\n\nThis dataset is focused on individuals representing a few in the population. The 4 programs that participated in the Responsible Fatherhood study were: Connections to Success in Kansas and Missouri, Fathers' Support Center in Missouri, FATHER Project at Goodwill-Easter Seals Minnesota, and Urban Ventures in Minnesota.\n\nThis data collection covered topics such as parental involvement, parenting skills, relationship status, child engagement, employment, criminal justice involvement, housing stability, and mental well-being. The demographic variables are race, age, monthly income, and education level.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child care and assistance",
        "employment",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Parents and Children Together (PACT) Responsible Fatherhood (RF) Study Data Collection, Kansas, Minnesota, and Missouri, 2012-2015 - Landing Page",
        "accessURL": "https://acf.gov/opre/project/archived-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.icpsr.umich.edu/web/ICPSR/studies/37673"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0014",
      "title": "Strengthening Relationship Education and Marriage Services (STREAMS), 5 U.S. states, 2016-2021",
      "description": "The federal government has made a long-standing commitment to supporting healthy relationships and stable families. In the mid-1990s, Congress created the Temporary Assistance for Needy Families (TANF) block grant, which provided states with the funding and flexibility to support activities that promoted healthy marriages. Beginning in the mid-2000s, the federal government provided additional funding specifically to support healthy marriage and relationship education (HMRE). The Office of Family Assistance (OFA) in the Administration for Children and Families (ACF) at the U.S. Department of Health and Human Services oversees these funds and distributes them through a set of competitive multiyear grants to organizations nationwide. The Strengthening Relationship Education and Marriage Services (STREAMS) evaluation was a five-site, random assignment evaluation of HMRE programs and was overseen by ACF's Office of Planning, Research, and Evaluation (OPRE) with funding from OFA. The five sites were selected from among a cohort of 46 organizations awarded multiyear grants from OFA in September 2015. The sites were selected for their potential to fill gaps in the evidence base on the effectiveness of HMRE programming and to identify strategies for improving the delivery and effectiveness of these programs. The grantees do not necessarily represent the overall grant program, and the findings from STREAMS were not intended to generalize to all funded grantees. The STREAMS evaluation examined a range of populations served by HMRE programming. One site provided relationship skills education to youth in high school, two sites provided relationship skills education to adults as individuals, and two sites provided relationship skills education to adults as couples. The five sites also addressed other evaluation priorities for STREAMS, including examining programs that integrated relationship skills and economic stability services and assessing implementation factors such as program dosage and strategies to boost program attendance. For each site, the STREAMS evaluation included both a random assignment impact study and an in-depth process study. The five sites included More Than Conquerors Inc. (MTCI), which delivered two versions of the Relationship Smarts PLUS (RQ+) Version 3.0 curriculum for high school students in two Atlanta-area high schools; Family and Workforce Centers of America (FWCA), which delivered Career STREAMS, an integrated relationship education and pre-employment training program for adult job seekers with low incomes in St. Louis, Missouri; the University of Denver, which delivered MotherWise, a relationship education program for low-income adult women who were expecting or had recently had a baby; The Parenting Center (TPC) in Fort Worth, Texas, which delivered Empowering Families, a program for romantically involved adult couples with low incomes who were raising children; and the University of Florida Cooperative Extension Service, which offered ELEVATE, a workshop-based relationship education program for adult couples and evaluated the use of text message reminders to improve program attendance and completion rates. The STREAMS restricted-use data collection includes 12 data files. Some of the files include data for a single site, while others combine data for more than one site. A user guide provides documentation for each file.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "employment",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Strengthening Relationship Education and Marriage Services (STREAMS), 5 U.S. states, 2016-2021 - Landing Page",
        "accessURL": "https://acf.gov/opre/project/archived-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.icpsr.umich.edu/web/ICPSR/studies/38662"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0015",
      "title": "Supporting Healthy Marriage Evaluation: Eight Sites within the United States, 2003-2013",
      "description": "The Supporting Healthy Marriage (SHM) evaluation was launched in 2003 to develop, to implement, and to test the effectiveness of a program aimed at strengthening low-income couples' marriages as one approach for supporting stable and nurturing family environments and parents' and children's well-being. The evaluation was led by MDRC and was sponsored by the Office of Planning, Research and Evaluation in the Administration for Children and Families, United States Department of Health and Human Services.The SHM program was a voluntary yearlong marriage education program for low-income married couples who had children or were expecting a child. The program provided a series of group workshops based on structured curricula designed to enhance couples' relationships; supplemental activities to build on workshop themes; and family support services to address participation barriers, connect families with other services, and reinforce curricular themes.\n\nThe study sample consists of 6,298 couples (12,596 adult sample members) who were expecting a child or had a child under 18 years old at the time of study entry. The sample consists primarily of low-to-modest income, married couples with diverse racial and ethnic backgrounds. In each family, one child was randomly selected to be the focus of any child-related measures gathered in the data collection activities. These children ranged from pre-birth to 14 years old at the time of enrollment in the study. Follow-up interviews were conducted at 12 and 30 months after baseline data collection. More detail is provided in the study documentation.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child welfare",
        "employment",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Supporting Healthy Marriage Evaluation: Eight Sites within the United States, 2003-2013 - Landing Page",
        "accessURL": "https://acf.gov/opre/project/archived-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.icpsr.umich.edu/web/ICPSR/studies/34420"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0016",
      "title": "Community Healthy Marriage Initiative Survey for Six Cities, 2007-2010",
      "description": "The Community Healthy Marriage Initiative (CHMI) evaluation was designed to evaluate community-level impacts of various relationship and marriage education programs. This study compared three sites which received grant funding from the Administration for Children and Families (ACF) (Dallas, Texas; St. Louis, Missouri; and Milwaukee, Wisconsin) with three cities that did not receive grant-funding (Fort Worth, Texas; Kansas City, Missouri; and Cleveland, Ohio) to determine what impacts grant funding has on these types of programs. This collection includes two rounds of surveys, one conducted in 2007 and one conducted in 2009, for longitudinal comparison. Respondents were asked a series of questions regarding their knowledge of relationship and marriage education programs in their area, including where they had learned of the classes, what source of advertising they had heard or seen, whether they knew where the classes were held, and whether they had discussed the classes with someone else. Information was collected to gauge respondents' participation in these courses, including whether they had taken a class in the previous 18 months, how long they attended the courses, whether they had received other services as a result of attending the classes, and whether they had suggested the classes to someone else. Respondents were also queried on whether they would be interested in attending a relationship class or a parenting class. Additional topics included parental relationships with their children, and relationship quality. Demographic variables include relationship status, household composition, employment status, parental status, race, age, and household income.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "education",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Community Healthy Marriage Initiative Survey for Six Cities, 2007-2010 - Landing Page",
        "accessURL": "https://acf.gov/opre/project/archived-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.icpsr.umich.edu/web/ICPSR/studies/34719"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0017",
      "title": "Building Strong Families (BSF) Project Data Collection, 2005-2008, United States",
      "description": "The Building Strong Families (BSF) project examined the effectiveness of programs designed to improve child well-being and strengthen the relationships of low-income couples through relationship skills education. It surveyed couples 15 months and 36 months after having applied to and been accepted into a Building Stronger Families (BSF) program at one of eight locations offering services to unwed couples expecting, or having recently had a baby. Major topics included family structure, parental involvement with children, relationships, personal and parental well-being, utilization of services such as workshops to help their relationship and parenting skills, paternity and child support, and family self-sufficiency. Respondents were asked for information on recently born children and relationship status, how much time they spent with their children, their level of satisfaction with their current relationship, substance use, if they had attended relationship and parental counseling, whether they were legally required to provide child support, employment, and family background. Additional information was asked about domestic violence and child abuse, legal trouble, past sexual history, and child development. The 36-month data collection effort also included direct assessments of parenting and child development. The quality of the parenting relationship was assessed for both mothers and fathers and was based on a semi-structured play activity, \"the two-bag task.\" This interaction was videotaped and later coded by trained assessors on multiple dimensions of parenting. During assessments with mothers, the focal child's language development was also assessed using the Peabody Picture Vocabulary Test. Demographic data includes race, education level, age, income, and marital status. The data collection is comprised of seven parts. Part 1: the BSF Eligibility and Baseline Survey Data file; Part 2: the BSF 15-Month Follow-up Survey Data file; Part 3: the program participation data file; Part 4: the BSF 15-month follow-up analysis file; Part 5: the BSF 36-Month Follow-up Survey Data file; Part 6: the mother-child in-home assessment; and Part 7: the BSF 36-Month Follow-up analysis file.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "employment",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Building Strong Families (BSF) Project Data Collection, 2005-2008, United States - Landing Page",
        "accessURL": "https://acf.gov/opre/project/archived-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.icpsr.umich.edu/web/ICPSR/studies/29781"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0018",
      "title": "Child Care Licensing Study, United States, 2004-2005",
      "description": "The purpose of the 2005 Child Care Licensing Study was to report two aspects of child care licensing from 2005 for all 50 states and the District of Columbia: (1) state child care licensing programs and policies, and (2) child care center licensing regulations. To collect information on states' licensing policies, including staffing, monitoring, and enforcement of licensing regulations, the National Association for Regulatory Administration (NARA) disseminated the 2005 NARA Child Care Licensing Program Survey to all state child care licensing agencies in February 2005. Responses were received from all states. The survey focuses on the processes and policies in each state related to staffing for the licensing program, monitoring facilities, and enforcement of licensing regulations. The data cover the following topic areas: Number of licensed facilities Complaint investigations Licensing staff Enforcement actions Types of inspections Licensing information on the Internet Frequency of inspections Licensing fees Frequency of licensing Licensing staff requirements Inspections and monitoring The role of licensing in quality initiatives Data on child care center licensing regulations were compiled from the regulations posted on the National Resource Center for Health and Safety in Child Care and Early Education Web site (http://nrc.uchsc.edu/STATES/states.htm) between January 1 and December 31, 2005. The data cover the following areas: Licensing regulations Additional staff training requirements Definition of licensed child care centers Child-staff ratios and group size Staff roles and age requirements Supervision of children Staff qualifications and ongoing training requirements Care of children Facility requirements Staff hiring requirements More information on the study is located on the National Association for Regulatory Administration Web site .",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Child Care Licensing Study, United States, 2004-2005 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/21400"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0019",
      "title": "Head Start Family and Child Experiences Survey (FACES): 2003 Cohort [United States]",
      "description": "The Head Start Family and Child Experiences Survey (FACES) is an ongoing national longitudinal study of the cognitive, social, emotional, and physical development of Head Start children. It examines the characteristics, well-being, and accomplishments of families, the observed quality of Head Start classrooms, and the characteristics and opinions of Head Start teachers and other program staff. FACES was designed to address four central questions related to program performance objectives: Does Head Start enhance children's development and school readiness? Does Head Start strengthen families as the primary nurturers of their children? Does head Start provide children with high quality educational, health, and nutritional services? How is classroom quality related to child outcomes? The FACES 2003 Cohort involved a nationally representative sample of children and families in Head Start programs in the United States who were studied at entry into the program in the fall of 2003, assessed at the completion of their program experience, and followed up at the end of their kindergarten year. The FACES 2003 battery has five main components: the child assessment, parent interview, teacher and staff interviews, classroom observations and teacher-child reports. The child assessments included the major components of school readiness, and were collected through direct child assessments and rating scales completed by parents and teachers. Some of the direct child assessments included the Peabody Picture Vocabulary Test Third Edition-Revised (PPVT-III), Woodcock-Johnson Psycho-Educational Battery-Revised, McCarthy Scales of Children's Abilities, story and print concepts, social awareness, color names and one-to-one counting and assessor ratings. The parent interview was designed to provide Head Start with a comprehensive understanding of the families that they serve, including the characteristics of households and household members, levels and types of participation in the program and in other community services, involvement with their children, and an understanding of their children's development. In addition to this, parents were asked to rate each child on a set of behaviors that assessed the child's basic social skills and behavior problems. The teacher and staff interview was designed to provide information on Head Start personnel experience, education, and training as well as knowledge and beliefs about child development, and educational activities with children and parents. The classroom observations were designed to measure peer interactions, friendships of children, and the extent to which Head Start programs employed skilled teachers and provided developmentally appropriate environments and curricula for their children. Some of the assessments used included the Assessment Profile, Early Childhood Environment Rating Scale-Revised (ECERS-R), classroom observation of teacher-directed activities, and the Arnett Caregiver Interaction Scale. The teacher-child report was designed to capture important sources of information about children's learning and behavior through the use of the Teacher-Child Report (TCR), social skills ratings, the Behavior Problems scale and the Preschool Learning Behavior Scale (PLBS).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education",
        "family support services",
        "public health"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Head Start Family and Child Experiences Survey (FACES): 2003 Cohort [United States] - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/22580"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0020",
      "title": "Child Care Licensing Study, United States, 2006-2007",
      "description": "The purpose of the 2007 Child Care Licensing Study is to report four aspects of child care licensing from 2007 for all 50 states and the District of Columbia: (1) state child care licensing programs and policies, (2) child care center licensing regulations, (3) small family child care home licensing regulations, and (4) large/group family child care home licensing regulations. To collect information on states' licensing policies, including staffing, monitoring, and enforcement of licensing regulations, the National Association for Regulatory Administration (NARA) disseminated the 2007 NARA Child Care Licensing Program Survey to all state child care licensing agencies in July 2007. Responses were received from all states. The survey focused on the processes and policies in each state related to staffing for the licensing program, monitoring facilities, and enforcement of licensing regulations. The data cover the following topical areas: Number of licensed facilities Complaint investigations Licensing staff Enforcement actions Types of inspections Licensing information on the Internet Frequency of inspections Licensing fees Frequency of licensing Licensing staff requirements Inspections and monitoring and Licensing's role in quality initiatives The child care center licensing regulations used for this study are those that were posted on the National Resources Center for Health and Safety in Child Care (NRC) Web site between January 1, 2006, and December 31, 2007. The data covers the following areas: Licensing regulations Additional staff training requirements Definition of licensed child care centers Child-staff ratios and group size Staff roles and age requirements Supervision of children Staff qualifications and ongoing training requirements Care of children Facility requirements and Staff hiring requirements The same Web site was used to collect licensing regulations covering the above listed topics for small family child care homes and large/group family child care homes. More information on the study is located at the National Association for Regulatory Administration Web site.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Child Care Licensing Study, United States, 2006-2007 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/25601"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0021",
      "title": "Child Care and Children with Special Needs: Challenges for Low Income Families, Maine, United States, 2002-2005",
      "description": "This project was a mixed-method, multi-level study of low income families of children with special needs and the system which served them, focusing primarily on child care, employment, and balancing work and family. This approach included an analysis of existing national and state-level data sets, statewide surveys of parents and child care providers, and a field study to look at these issues at the local level in three selected communities in the state of Maine: Portland, Lewiston/Auburn, and Presque Isle. While the primary focus was on access to child care, this project also looked at the related issues of welfare reform, the impact of work force participation on having a child with special needs, and the issue of coordination of early intervention services with the child care system. The goal was to understand better the issues facing low income families with special needs children across the programs and policies affecting their employment, access to child care, and meeting the special needs of their children. In the first year of the study, qualitative research was conducted to learn directly from parents about their experiences. In the second and third years, a field study of three communities was conducted as well as statewide surveys and analysis of national data bases to supplement the data collected in the first year. This data collection is comprised of the two quantitative data files produced during the second and third years of the study which are described in more detail below. Child Care Provider Survey: The Child Care Provider Survey was a statewide survey of child care providers selected at random from the list of licensed providers in Maine given by the state licensing agency. Questions focused on the perspective of child care providers on the issues of access and inclusion that parents raised. Parent Survey: The Parent Survey was a statewide survey of parents and children aged 0-18 years with diagnosed special needs (enrolled in Maine Care - Katie Beckett and Title V eligibility groups - and Child Development Services early intervention caseloads). Questions focused on child care utilization and work experiences in relation to children with special needs. Researchers interested in information about the qualitative data should contact the Child Care and Children with Special Needs Project Web site .",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child care and assistance",
        "early childhood services",
        "employment"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Child Care and Children with Special Needs: Challenges for Low Income Families, Maine, United States, 2002-2005 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/27001"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0022",
      "title": "The National Early Literacy Panel (NELP), 2002-2006",
      "description": "The National Early Literacy Panel (NELP) was convened in 2002 to conduct a synthesis of the scientific research on the development of early literacy skills in children ages zero to five. NELP met on 12 occasions between April 2002- February 2006. NELP's primary goal was to identify interventions, parenting activities, and instructional practices that promote the development of children's early literacy skills. Toward that end, the panel posed the following four questions: What are the skills and abilities of young children (age birth through five years or kindergarten) that predict later reading, writing, or spelling outcome? Which programs, interventions, and other instructional approaches or procedures have contributed to or inhibited gains in children's skills and abilities that are linked to later outcomes in reading, writing, or spelling? What environments and settings have contributed to or inhibited gains in children's skills and abilities that are linked to later outcomes in reading, writing, or spelling? What child characteristics have contributed to or inhibited gains in children's skills and abilities that are linked to later outcomes in reading, writing, or spelling? NELP adopted a methodology that allowed for the identification and selection of published studies relevant to the panel's questions, a coding system that allowed for the combination and comparison of studies, and an appropriate method of statistical analysis. Approximately 500 research articles were used in the meta-analyses conducted by the panel. The meta-analyses summarized both correlational data showing the relationships between children's early abilities and skills and later literacy development and experimental data that showed the impact of instructional interventions on children's learning.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The National Early Literacy Panel (NELP), 2002-2006 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/27421"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0023",
      "title": "Early Childhood Longitudinal Study [United States]: Kindergarten Class of 1998-1999, Kindergarten-Eighth Grade Full Sample",
      "description": "The Early Childhood Longitudinal Study Kindergarten Class of 1998-1999, Kindergarten-Eighth Grade Full Sample includes the kindergarten, first, third, fifth, and eighth grade data collections for the Early Childhood Longitudinal Study, Kindergarten Class of 1998-1999 (ECLS-K). Unlike the public-use longitudinal files released in previous rounds, this file contains all data for all ECLS-K sample cases that have been publicly released in any of the rounds. Thus, it can be used for within-year (cross-sectional) analyses of any round of data collection and cross-year (longitudinal) analyses of combinations of rounds. It focuses on children's early school experiences beginning with kindergarten through eighth grade. It is a nationally representative sample that collects information from children, their families, their teachers, and their schools. ECLS-K provides data about the effects of a wide range of family, school, community, and individual variables on children's cognitive, social, emotional, and physical development, their early learning and early performance in school, as well as their home environment, home educational practices, school environment, classroom environment, classroom curriculum, and teacher qualifications. The list below summarizes each wave of this study. 1998-1999 (the Kindergarten year-Rounds 1 and 2): The ECLS-K child assessments, parent interviews, and teacher questionnaires were conducted in the fall. Children, parents, and teachers participated again in the spring, along with school administrators. 1999-2000 (the First grade year-Rounds 3 and 4): The ECLS-K conducted child assessments and parent interviews for a 30 percent sub-sample in the fall. The full sample of children, parents, teachers, and school administrators participated in the spring. 2002 (the Third grade year-Round 5): The ECLS-K conducted child assessments and parent interviews in the spring. Teachers and school administrators completed questionnaires. 2004 (the Fifth grade year-Round 6): The ECLS-K conducted child assessments and parent interviews in the spring. Teachers and school administrators completed questionnaires. 2007 (the Eighth grade year-Round 7): The ECLS-K followed the children into middle school. Information was collected from the children, their parents, teachers, and school administrators. For more detailed information about this data collection, please refer to the user guide.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Early Childhood Longitudinal Study [United States]: Kindergarten Class of 1998-1999, Kindergarten-Eighth Grade Full Sample - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/28023"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0024",
      "title": "Head Start Family and Child Experiences Survey (FACES): 2006 Cohort United States, 2006-2009",
      "description": "The Head Start Family and Child Experiences Survey (FACES) is a periodic, ongoing longitudinal study of program performance. Successive nationally representative samples of Head Start children, their families, classrooms, and programs provide descriptive information on the population of children and families served; staff qualifications, credentials, and opinions; Head Start classroom practices and quality measures; and child and family outcomes. FACES includes a battery of child assessments across multiple developmental domains (cognitive, social, emotional, and physical). For nearly a decade, the Office of Head Start, the Administration for Children and Families, other federal agencies, local programs, and the public have depended on FACES for valid and reliable national information on (1) the skills and abilities of Head Start children, (2) how Head Start children's skills and abilities compare with preschool children nationally, (3) Head Start children's readiness for and subsequent performance in kindergarten, and (4) the characteristics of the children's home and classroom environments. The FACES study is designed to enable researchers to answer a wide range of research questions that are crucial for aiding program managers and policymakers. Some of the questions that are central to FACES include: What are the demographic characteristics of the population of children and families served by Head Start? How has the population served by Head Start changed? What are the experiences of families and children in the Head Start program? How have they changed? What are the cognitive and social skills of Head Start children at the beginning and end of their first year in the program? Has Head Start program performance improved over time? Do the gains in cognitive and social skills that Head Start children achieve carry over into kindergarten? Do larger gains (or greater declines in problem behavior) translate into higher achievement at the end of kindergarten? What are the qualifications of Head Start teachers in terms of education, experience, and credentials? Are average teacher education levels rising in Head Start? What is the observed quality of Head Start classrooms as early learning environments, including the level and range of teaching and interactions, provisions for learning, emotional and instructional support, and classroom organization? How has quality changed over time? What program- and classroom-level factors are related to observed classroom quality? How is observed quality related to children's outcomes and developmental gains? FACES also supports analyses of subgroups of interest, such as children with disabilities, dual language learners, and children who are performing above or below average on standardized assessments. Its design changes in response to emerging policy and research questions. For example, in response to the growing concern about childhood obesity, measures of children's height and weight were introduced in FACES 2006. Measures for FACES 2006 were selected to balance the need to support comparisons to previous cohorts of FACES (particularly with respect to program performance measures) against the need to update the measurement battery and address emerging policy issues and benefits from progress in the assessment field. Many of the measures used in FACES 2006 were included in previous cohorts and they are presented below by the five major measurement sources in FACES: (1) child direct assessments; (2) parent interviews; (3) teacher interviews and survey; (4) classroom observations; and (5) program director, center director, and education coordinator interviews. The child direct assessments included the major components of school readiness. They included a language screener, the Peabody Picture Vocabulary Test, Fourth Edition/Test de Vocabulario de Imagines Peabody, subtests from the Woodcock-Johnson Tests of Achievement Third Edition/Bateria III Woodcock-Munoz (letter word identification, applied problems, spelling, and word attack), a measure of early math literacy based on items from the Early Childhood Longitudinal Study, Birth and Kindergarten Cohorts math assessments (geometry, patterns, and measurement), story and print concepts, and physical measurements (height and weight). At the end of the direct child assessment, interviewers rate the child's attention, organization/impulse control, activity level, and sociability using items from the Leiter-R scales. The parent interview was designed to provide Head Start with a comprehensive understanding of the families that they serve, including the demographic characteristics of households and household members, parent-child relationships and the quality of the child's home life, and parent ratings of the child's behavior problems, social skills, and competencies, levels and types of participation in the program and in other community services. The Head Start teacher interview was designed to collect information about classroom and teacher characteristics related to the quality of care provided by Head Start programs. Teachers were asked about their classroom activities and use of curricula, as well as their demographic and educational background and professional experience. They also used a Web survey to rate the social skills, problem behaviors, and competencies of each FACES child in their classroom. Kindergarten teachers provided information about schools attended by Head Start children, their classrooms and school experiences using a Web survey. They also completed ratings of each FACES child's social skills, behavior problems and competencies. The classroom observations were designed to measure peer interactions and the extent to which Head Start programs employed skilled teachers and provided developmentally appropriate environments and curricula for their children. The measures used included the Early Childhood Environment Rating Scale-Revised (ECERS-R), the Arnett Scale of Lead Teacher Behavior, and the Instructional Support scale from the Classroom Assessment Scoring System (CLASS). Counts of children and adults were also taken to calculate group size and child-adult ratios. The Program Director, Center Director, and Education Coordinator Interviews gathered information about staffing and recruitment, teacher education initiatives and training, waiting lists and program expansion, classroom activities, curriculum, overview of program management, and parent involvement. The User Guide provides detailed information about the FACES 2006 study design, execution, and data to inform and assist researchers who may be interested in using the data for future analyses. The following items are provided in the User Guide as appendices. Appendix A -- Copyright Statements Appendix B -- Instrument Content Matrices Appendix C -- Questionnaires Appendix D -- Center/Program Codebook Appendix E -- Classroom/Teacher Codebook Appendix F -- Child Codebook Appendix G -- Description of Constructed/Derived Variables",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education",
        "public health"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Head Start Family and Child Experiences Survey (FACES): 2006 Cohort United States, 2006-2009 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/28421"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0025",
      "title": "Evaluation of Child Care Subsidy Strategies: Illinois Site Public Use Files, 2005-2006",
      "description": "The Evaluation of Child Care Subsidy Strategies is a multi-site, multi-year effort to determine whether and how different child care subsidy policies and procedures and quality improvement efforts help low-income parents obtain and hold onto jobs and improve outcomes for children. Funding from the Child Care and Development Fund (CCDF) administered by the Child Care Bureau are divided into two purposes. The vast majority are aimed at assisting children of low-income working parents whose eligibility is determined by states within broad federal guidelines, while a much smaller portion (4 percent) work with state matching funds to improve the quality of child care for all children. For this study series, four experiments were conducted, two test alternative subsidy policies for low-income families and two test approaches to the use of set-aside funds for improving child care quality for all children. The four study sites and focus of evaluation include: (1) the effectiveness of three language and literacy curricula on teaching practices and children's language and literacy outcomes (Miami Dade County, Florida); (2) the impact of alternative eligibility and re-determination child care subsidy policies on parental employment outcomes (Illinois); (3) the impact of alternative child care co-payment structures on use of child care subsidies and employment outcomes (Washington) and (4) the effectiveness of training on Learning Games curriculum in changing care-giving practices in family child care homes and children's developmental outcomes (Massachusetts). The Illinois site of the Evaluation of Child Care Subsidy Strategies was designed to test the impact of increased income eligibility and extended redetermination period on various child care and economic outcomes (such as type of care used, stability of child care arrangements, earnings, employment, etc.). Under the state's 2005 program rules, a family was eligible for subsidies if their income was below 50 percent of the state median income (SMI) for their family size, and this eligibility was redetermined for most families every 6 months. In the evaluation, income eligibility was extended to 50 to 65 percent of state median income, and the redetermination period was extended from 6 to 12 months. To isolate the impact of each programmatic change, families who qualified for the study were randomly assigned to one of three groups: (1) a control group, (2) a 6-month redetermination program group, or (3) a 12-month redetermination program group. Families in the control group received no enhanced access to subsidies; families in the 6-month program group were eligible for subsidies as long as their income remained below 65 percent of SMI and had to reapply for subsidies every 6 months; and families in the 12-month redetermination program group were eligible for subsidies with income up to 65 percent of SMI and had to reapply for subsidies every 12 months. In the follow-up survey, respondents were asked a series of questions about the following topics: Child Care Arrangements: These data were used to construct child-level measures of type and stability of the primary care arrangement. Child Care Reliability and Flexibility, Satisfaction with the Care, and Costs: These questions were used to create a summary measure of whether the respondent experienced any job-related problems due to child care arrangements. This section of the survey also contained a set of statements about the convenience of and satisfaction with child care at the time of the interview. Respondents were asked the total weekly amount they paid for all care at the time of the interview. This measure of out-of-pocket expenses was used rather than the provider-specific cost question from the section on child care arrangements because it was thought that parents would more reliably report their overall expenditures than their expenditures for each provider for each child. Employment: Information on jobs held at the time of the survey interview was used to create measures of employment, hours worked, and job characteristics for that job. Information on all jobs held in the year after random assignment was used to create measures of employment stability. Major Life Events: Respondents were asked about the occurrence of nine major types of events or other problems since the time of random assignment. Income: Respondents were asked about total household income and sources of income in the month prior to the survey.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "employment",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Evaluation of Child Care Subsidy Strategies: Illinois Site Public Use Files, 2005-2006 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/29001"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0026",
      "title": "Evaluation of Child Care Subsidy Strategies: Washington Site Public Use Files, 2005",
      "description": "The Evaluation of Child Care Subsidy Strategies is a multi-site, multi-year effort to determine whether and how different child care subsidy policies and procedures and quality improvement efforts help low-income parents obtain and hold onto jobs and improve outcomes for children. Funding from the Child Care and Development Fund (CCDF) administered by the Child Care Bureau are divided into two purposes. The vast majority are aimed at assisting children of low-income working parents whose eligibility is determined by states within broad federal guidelines, while a much smaller portion (4 percent) work with state matching funds to improve the quality of child care for all children. For this study series, four experiments were conducted, two test alternative subsidy policies for low-income families and two test approaches to the use of set-aside funds for improving child care quality for all children. The four study sites and focus of evaluation include: (1) the effectiveness of three language and literacy curricula on teaching practices and children's language and literacy outcomes (Miami Dade County, Florida); (2) the impact of alternative eligibility and re-determination child care subsidy policies on parental employment outcomes (Illinois); (3) the impact of alternative child care co-payment structures on use of child care subsidies and employment outcomes (Washington) and (4) the effectiveness of training on Learning Games curriculum in changing care-giving practices in family child care homes and children's developmental outcomes (Massachusetts). The Washington evaluation was designed to test the impact of changing parental copayment levels on various child care and economic outcomes (such as type of care used, earnings, employment, etc.). The copayment amount refers to the amount that families who are receiving child care subsidies contribute to the cost of child care, while the copayment schedule refers to the amount or the rate at which the copayment changes as income increases or decreases. In all states, the copayment amount is larger for families with higher incomes. In Washington in 2005, a three-person family receiving child care subsidies paid 3 percent of the cost of child care if their income was 33 percent of the federal poverty threshold, but 16 percent of the cost of care if their income was 200 percent of the threshold. In the Washington child care subsidy program, families were divided into three income tiers. Families in Tier 1 had incomes at or below 82 percent of the federal poverty threshold, families in Tier 2 had incomes between 83 and 137.5 percent of the threshold, and families in Tier 3 had incomes between 137.5 and 200 percent of the threshold. Under the standard copayment schedule used by Washington in 2005, child care subsidy recipients in Tier 1 paid $15 per month, while recipients in Tier 2 paid $50 per month. Families in Tier 3 faced a sliding copayment schedule, with the copayment increasing by 44 cents for each additional dollar of income beyond 137.5 percent of the poverty threshold. In the evaluation, study participants were randomly assigned to one of two groups: (1) a control group assigned to the standard copayment schedule, and (2) a program group assigned to an alternative copayment schedule, which had copayment amounts that were equal to or lower than standard copayment schedule amounts.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "employment",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Evaluation of Child Care Subsidy Strategies: Washington Site Public Use Files, 2005 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/29002"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0027",
      "title": "Head Start Impact Study (HSIS), 2002-2006 [United States]",
      "description": "Since its beginning in 1965 as a part of the War on Poverty, Head Start's goal has been to boost the school readiness of low income children. Based on a \"whole child\" model, the program provides comprehensive services that include preschool education; medical, dental, and mental health care; nutrition services; and efforts to help parents foster their child's development. Head Start services are designed to be responsive to each child's and family's ethnic, cultural, and linguistic heritage. In the 1998 reauthorization of Head Start, Congress mandated that the United States Department of Health and Human Services determine, on a national level, the impact of Head Start on the children it serves. This legislative mandate required that the impact study address two main research questions: What difference does Head Start make to key outcomes of development and learning (and in particular, the multiple domains of school readiness) for low-income children? What difference does Head Start make to parental practices that contribute to children's school readiness? Under what circumstances does Head Start achieve the greatest impact? What works for which children? What Head Start services are most related to impact? The Head Start Impact Study addresses these questions by reporting on the impacts of Head Start on children and families during the children's preschool, kindergarten, and first grade years. It was conducted with a nationally representative sample of nearly 5,000 three- and four-year old preschool children across 84 nationally representative grantee/delegate agencies in communities where there are more eligible children and families than can be served by the program. The children participating were randomly assigned to either a treatment group (which had access to Head Start services) or a comparison group (which did not have access to Head Start services, but could receive other community resources). Data collection began in the fall of 2002 and ended in spring 2006, following children through the spring of their first grade year. Baseline data were collected through parent interviews and child assessments in fall 2002. The annual spring data collection included child assessments, parent interviews, teacher surveys, and teacher-child ratings. In addition, during the preschool years only, data collection included classroom and family day care observations, center director interviews, care provider interviews, and care provider-child ratings. The study examined differences in outcomes in several domains related to school readiness: children's cognitive, social-emotional, health, and parenting outcomes (e.g., reading to the child, use of spanking and time out, exposing children to cultural enrichment activities, safety practices, parent-child relationships). It also examined whether impacts differed based on characteristics of the children and their families, including the child's pre-academic skills at the beginning of the study; the child's primary language; whether the child has special needs; the mother's race/ethnicity; the primary caregiver's level of depressive symptoms; household risk; and urban or rural location. The Head Start Impact Study differs from other evaluations of early childhood programs in that it: represents children from the majority of Head Start programs, represents a scaled-up federal program, represents the full range of quality within the national program, employs a randomized control design, the strongest design for testing impacts, examines all domains of children's school readiness, as well as parenting outcomes, follows children through their early years of elementary school, and compares children who have access to Head Start to a control group that includes many children in center-based and other forms of early childhood education programs.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education",
        "family support services",
        "public health"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Head Start Impact Study (HSIS), 2002-2006 [United States] - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/29462"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0028",
      "title": "Project Upgrade in Miami-Dade County, Florida, 2003-2009",
      "description": "The Evaluation of Child Care Subsidy Strategies is a multi-site, multi-year effort to determine whether and how different child care subsidy policies and procedures and quality improvement efforts help low-income parents obtain and hold onto jobs and improve outcomes for children. Funding from the Child Care and Development Fund (CCDF) administered by the Child Care Bureau are divided into two purposes. The vast majority are aimed at assisting children of low-income working parents whose eligibility is determined by states within broad federal guidelines, while a much smaller portion (4 percent) work with state matching funds to improve the quality of child care for all children. For this studies series, four experiments were conducted, two test alternative subsidy policies for low-income families and two test approaches to the use of set-aside funds for improving child care quality for all children. The four study sites and focus of evaluation include: (1) effectiveness of three language and literacy curricula on teaching practices and children's language and literacy outcomes (Miami-Dade County, Florida); (2) impact of alternative eligibility and re-determination child care subsidy policies on parental employment outcomes (Illinois); (3) impact of alternative child care co-payment structures on use of child care subsidies and employment outcomes (Washington) and (4) effectiveness of training on Learning Games curriculum in changing care-giving practices in family child care homes and children's developmental outcomes (Massachusetts). A two-year experiment, Project Upgrade tests the effectiveness of three different language and literacy interventions, Ready, Set, Leap! (RSL!), Breakthrough to Literacy (BTL) and Building Early Language and Literacy (BELL) implemented in child care centers in Miami-Dade County, Florida, that served children from low-income families. One hundred and sixty-two centers were randomly assigned to one of three research-based curricula or to a control group that continued with its existing program. The curricula, while grounded in a common set of research findings, differed in intensity, pedagogic strategies, and use of technology. In each center, one classroom that served four-year-old children was selected for the study. Teachers and aides assigned to the three treatment groups received initial and follow-up training as well as ongoing mentoring over a period of approximately 18 months, from Fall 2003 to Spring 2005. The study tested two kinds of outcomes: teacher behavior and interactions with children, and aspects of the classroom environment that support children's language and literacy development, measured through direct observation; and children's language and pre-literacy skills, measured by their performance on a standardized assessment. To determine whether the interventions that had produced significant outcomes at the end of preschool had any lasting positive effects on early school performance, mathematics and reading follow-up assessments were done in the spring of the 2007/2008 and 2008/2009 school years. Of the 1,535 children assessed in the original Florida Upgrade study, follow-up measurements were taken on 1,137 children (74 percent). Also obtained were follow-up measurements on 127 children who were in the study centers in the original randomized design, but who were not present at the time of the initial child assessments.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Project Upgrade in Miami-Dade County, Florida, 2003-2009 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/31061"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0029",
      "title": "Child Care Licensing Study, United States, 2008",
      "description": "The purpose of the 2008 Child Care Licensing Study is to report two aspects of child care licensing from 2008 for all 50 states and the District of Columbia (not including Idaho): (1) state child care licensing programs and policies and (2) child care center and family child care home licensing regulations. The study focuses on the processes and policies in each state related to staffing for the licensing program, monitoring facilities, and enforcement of licensing regulations. To collect information on states' licensing policies, including staffing, monitoring, and enforcement of licensing regulations, the National Association for Regulatory Administration (NARA) disseminated the 2008 NARA Child Care Licensing Program Survey to all state child care licensing agencies in May 2009. Responses were received from all states. The survey focused on the processes and policies in each state related to staffing for the licensing program, monitoring facilities, and enforcement of licensing regulations. The data cover the following topical areas: Number of licensed facilities Complaint investigations Licensing staff Enforcement actions Types of inspections Licensing information on the Internet Frequency of inspections Licensing fees Frequency of licensing Licensing staff requirements Inspections and monitoring and Licensing's role in quality initiatives The child care center licensing regulations used for this study are those that were posted on the National Resources Center for Health and Safety in Child Care (NRC) Web site . The data cover the following areas: Licensing regulations Additional staff training requirements Definition of licensed child care centers Child-staff ratios and group size Staff roles and age requirements Supervision of children Staff qualifications and ongoing training requirements Care of children Facility requirements and Staff hiring requirements The same Web site was used to collect licensing regulations covering the above listed topics for small family child care homes and large/group family child care homes. More information on the study is located at the National Association for Regulatory Administration's Web site .",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Child Care Licensing Study, United States, 2008 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/31501"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0030",
      "title": "Evaluation of Child Care Subsidy Strategies: Massachusetts Family Child Care Study, 2005-2007",
      "description": "The Massachusetts Family Child Care study is a two-year evaluation, conducted by Abt Associates Inc, the Manpower Development Research Corporation (MDRC) and the National Center for Children in Poverty (NCCP), of the impacts of the LearningGames program on providers and children in family child care. LearningGames is designed to train caregivers to stimulate children's cognitive, language, and social-emotional development through a set of 200 simple games that encourage intensive, one-on-one interactions as a platform that allows the adult to engage the child in meaningful conversation, to listen to the child and respond to the child's questions and actions, and to scaffold and build on the child's growing skills at using and understanding language. The goal of LearningGames is to increase the frequency of rich language interactions between caregivers and children due to the importance of oral language development in children's understanding of words and concepts, in their ability to become competent readers, and in their long-term academic success and of the role played by rich language stimulation in promoting children's development. This evaluation of LearningGames examines the effectiveness of the program in changing the behavior of the family child care providers and the developmental outcomes for the children who are cared for by providers trained on LearningGames. Baseline data were collected in the summer of 2005 with follow up observations taking place in the fall of 2006 and again in the winter of 2007. Of the 55 family child care provider networks in Massachusetts, 16 were sampled, resulting in 1,250 children enrolled in 353 study homes, though the study suffered a heavy overall attrition rate of 58 percent. The data are provided in four data sets, one file containing data on the providers, a baseline observations file and two annual follow ups. The provider file (2005 Provider Data), includes data on: the provider's years of experience in family child care, their reasons for working as a family child care provider, what they would change about their job, what they believe is their responsibility for the children, their educational background, their age, sex, and race, the languages that they speak at home, the languages that they speak with the children in their care, and the types of materials that they read. Due to the descriptive sensitivity of the variables, this dataset requires a signed user agreement to access. All other datasets are publically available. The observation files include data from several measures: the QUEST Caregiver Rating Scale (subset of items), the Arnett Caregiver Interaction Scale, the revised Snapshot of Activities (from the OMLIT), the Read-Aloud Profile (from the OMLIT), and the TALK.The data include: the amount of time the provider shows interest in what children say or do, whether or not the provider seems to enjoy children, the average number of activities observed, the amount of read-alouds where the provider relates the book to group activities prior to reading the book, and whether or not the provider encourages children to do activities on their own.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child care and assistance",
        "early childhood services",
        "education",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Evaluation of Child Care Subsidy Strategies: Massachusetts Family Child Care Study, 2005-2007 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/31581"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0031",
      "title": "Carolina Abecedarian Project (ABC) and the Carolina Approach to Responsive Education (CARE), Age 21 Follow Up Study, 1993 - 2003",
      "description": "The Carolina Abecedarian (ABC) Project and the Carolina Approach to Responsive Education (CARE) projects consist of two consecutive longitudinal studies on the effectiveness of early childhood educational intervention for children at high risk for developmental delays and school failure. Combined, the two studies test the hypothesis that child care, home visit, and home school resource interventions can enhance cognitive and academic outcomes for children at risk for school failure due to factors such as poverty, low maternal IQ, or low parental education. These studies provide the only experimental data regarding the efficacy of child care interventions that began during early infancy and lasted until the child entered kindergarten. In addition, the data allow for tests of the efficacy of intervention during the primary grades. Research hypotheses include: Within this high-risk sample, early cumulative risk will be negatively associated with young adult educational outcomes, employment outcomes, avoidance of teen parenthood, and avoidance of criminal behavior. Early intervention will moderate the effects of risk such that the effects of increased risk would be weaker for those who received the intervention than for those who did not. The early home environment would mediate any found effects for early risk and that early educational intervention would moderate the effects of the early home environment such that the effects of a poor-quality home environment would be weaker for those who received treatment compared to those who did not. Further information can be found on the Carolina Abecedarian Project Web site .",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education",
        "employment",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Carolina Abecedarian Project (ABC) and the Carolina Approach to Responsive Education (CARE), Age 21 Follow Up Study, 1993 - 2003 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/32262"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0032",
      "title": "New Americans: Child Care Choices of Parents of English Language Learners",
      "description": "Immigration to this country has increased significantly in recent years. While Mexican immigrants are the largest population of immigrants in the United States (39 percent), the rest of the population is widely varied, with no one nation accounting for more than 3 percent of all immigrants. Despite the significant benefits quality Early Childhood Education (ECE) programs offer to immigrant children, their rates of enrollment are significantly lower than for comparable children of United States-born parents. In order to better address the needs of these new American families, providers and state policymakers need more in-depth knowledge about the perceptions of these families and the factors that influence their choice of care. This study is an exploratory study in two cities which reflect the diversity of experience with immigration across the country: Denver, Colorado and surrounding areas, where the focus is on Mexican immigrants, and Portland, Maine and surrounding areas, where the focus is on three of the many refugee populations which have newly settled here. The contrasts, not only in the immigrant populations themselves, but also in the political and historical contexts of the communities in which they live, offer an opportunity to enrich the field of research on child care choices for this vulnerable population of children and families. Additional details about this study can be found on the New Americans Web site.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child care and assistance",
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "New Americans: Child Care Choices of Parents of English Language Learners - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/33901"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0033",
      "title": "Child Care Licensing Study, United States, 2011",
      "description": "The purpose of the 2011 Child Care Licensing Study is to report two aspects of child care licensing from 2011 for all 50 states and the District of Columbia (not including Idaho): (1) state child care licensing programs and policies and (2) child care center and family child care home licensing regulations. The study focuses on the processes and policies in each state related to staffing for the licensing program, monitoring facilities, and enforcement of licensing regulations. To collect information on states' licensing policies, including staffing, monitoring, and enforcement of licensing regulations, the National Association for Regulatory Administration (NARA) disseminated the 2011 NARA Child Care Licensing Program Survey to all state child care licensing agencies in May 2012. Responses were received from all states. The survey focused on the processes and policies in each state related to staffing for the licensing program, monitoring facilities, and enforcement of licensing regulations. The data cover the following topical areas: Number of licensed facilities Complaint investigations Licensing staff Enforcement actions Types of inspections Licensing information on the Internet Frequency of inspections Licensing fees Frequency of licensing Licensing staff requirements Inspections and monitoring and Licensing's role in quality initiatives The child care center licensing regulations used for this study are those that were posted on the National Resources Center for Health and Safety in Child Care (NRC) Web site . The data cover the following areas: Licensing regulations Additional staff training requirements Definition of licensed child care centers Child-staff ratios and group size Staff roles and age requirements Supervision of children Staff qualifications and ongoing training requirements Care of children Facility requirements and Staff hiring requirements The same Web site was used to collect licensing regulations covering the above listed topics for small family child care homes and large/group family child care homes. More information on the study is located at the National Association for Regulatory Administration's Web site .",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Child Care Licensing Study, United States, 2011 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/34550"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0034",
      "title": "Head Start Family and Child Experiences Survey (FACES): 2009 Cohort [United States]",
      "description": "The Head Start Family and Child Experiences Survey (FACES) is a periodic, ongoing longitudinal study of program performance. Successive nationally representative samples of Head Start children, their families, classrooms, and programs provide descriptive information on the population of children and families served; staff qualifications, credentials, and opinions; Head Start classroom practices and quality measures; and child and family outcomes. FACES includes a battery of child assessments across multiple developmental domains (cognitive, social, emotional, and physical). FACES 2009 is the latest FACES cohort study and followed children from Head Start entry in fall 2009 through one or two years of program participation and to kindergarten. For nearly a decade, the Office of Head Start, the Administration for Children and Families, other federal agencies, local programs, and the public have depended on FACES for valid and reliable national information on (1) the skills and abilities of Head Start children, (2) how Head Start children's skills and abilities compare with preschool children nationally, (3) Head Start children's readiness for and subsequent performance in kindergarten, and (4) the characteristics of the children's home and classroom environments. The FACES study is designed to enable researchers to answer a wide range of research questions that are crucial for aiding program managers and policymakers. Some of the questions that are central to FACES include: What are the demographic characteristics of the population of children and families served by Head Start? How has the population served by Head Start changed? What are the experiences of families and children in the Head Start program? How have they changed? What are the cognitive and social skills of Head Start children at the beginning and end of their first year in the program? Has Head Start program performance improved over time? Do the gains in cognitive and social skills that Head Start children achieve carry over into kindergarten? Do larger gains (or greater declines in problem behavior) translate into higher achievement at the end of kindergarten? What are the qualifications of Head Start teachers in terms of education, experience, and credentials? Are average teacher education levels rising in Head Start? What is the observed quality of Head Start classrooms as early learning environments, including the level and range of teaching and interactions, provisions for learning, emotional and instructional support, and classroom organization? How has quality changed over time? What program- and classroom-level factors are related to observed classroom quality? How is observed quality related to children's outcomes and developmental gains? In response to recent trends and mandates, FACES 2009 expanded the information collected on families and children who speak a primary language other than English and the information collected on children who are homeless. Earlier cohorts of FACES gathered information on the languages spoken in the home and used for classroom instruction. Given the growth in the population of Hispanic/Latino preschoolers (Hernandez 2006), FACES 2009 placed additional emphasis on Dual Language Learners (DLLs). In addition, given the 2007 Head Start Act's focus on children and families who are homeless, FACES 2009 expanded coverage on the enrollment of such children, how the program ensures that they enroll in Head Start, and the special services available to such children and their families. FACES 2009 carefully balanced the need for consistent measurement of outcomes against the need for improvements in instrumentation and techniques. In some instances, new instruments were added to obtain more comprehensive information on Head Start children. For example, the Expressive One-Word Picture Vocabulary Test was added to assess children's expressive language, which is related to later reading achievement even more so than receptive language (National Early Literacy Panel 2008). A measure of phonemic awareness from the Early Childhood Longitudinal Study-Birth Cohort (ECLS-B) preschool wave was also added to assess children's knowledge of beginning and ending sounds in words. Further, FACES 2009 included a direct assessment of executive functioning-a pencil tapping task to examine children's inhibitory control, working memory, and attention-which has been shown to relate to young children's development in mathematics, vocabulary, and literacy (Blair and Razza 2007; Espy et al. 2004; McClelland et al. 2007). The User Guide provides detailed information about the FACES 2009 study design, execution, and data to inform and assist researchers who may be interested in using the data for future analyses. The following items are provided in the User Guide as appendices. Appendix A - Copyright statements Appendix B - Instrument Content Matrices Appendix C - Questionnaires Appendix D - Center/Program Codebook Appendix E - Classroom/Teacher Codebook Appendix F - Child Codebook Appendix G - Description of Constructed/Derived Variables",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Head Start Family and Child Experiences Survey (FACES): 2009 Cohort [United States] - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/34558"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0035",
      "title": "National Center for Research on Early Childhood Education Teacher Professional Development Study (2007-2011)",
      "description": "The Professional Development Study (PDS) is a randomized controlled evaluation of two forms of professional development delivered to over 490 early childhood education teachers: (1) coursework on effective instructional interactions (as defined by the Classroom Assessment Scoring System [CLASS], an observational measure with established links to child outcomes) and (2) video-based consultation support through MyTeachingPartner (MTP). These professional development supports aim to improve teachers' implementation of language/literacy activities and interactions with children, as well as promote gains in children's social and academic development. The questionnaires and measures used to gather the study data were initially compiled into 76 Raw-level files. The Raw-level data were in turn used by the research team at NCRECE to create 10 comprehensive Analysis-level files in order to avoid any inaccuracies that might result from incorrectly merging the Raw files. The Analysis-level files are organized by participant and phase of study. Whenever possible, Analysis files should be utilized instead of merging individual Raw files. Additional information about this study can be found at the NCRECE web site.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Center for Research on Early Childhood Education Teacher Professional Development Study (2007-2011) - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/34848"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0036",
      "title": "Pre-Kindergarten in Eleven States: NCEDL's Multi-State Study of Pre-Kindergarten and Study of State-Wide Early Education Programs (SWEEP)",
      "description": "The National Center for Early Development and Learning (NCEDL) combined the data of two major studies in order to understand variations among state-funded pre-kindergarten (pre-k) programs and in turn, how these variations relate to child outcomes at the end of pre-k and in kindergarten. The Multi-State Study of Pre-Kindergarten and the State-Wide Early Education Programs (SWEEP) Study provide detailed information on pre-kindergarten teachers, children, and classrooms in 11 states. By combining data from both studies, information is available from 721 classrooms and 2,982 pre-kindergarten children in these 11 states. Pre-kindergarten data collection for the Multi-State Study of Pre-Kindergarten took place during the 2001-2002 school year in six states: California, Georgia, Illinois, Kentucky, New York, and Ohio. These states were selected from among states that had committed significant resources to pre-k initiatives. States were selected to maximize diversity with regard to geography, program settings (public school or community setting), program intensity (full-day vs. part-day), and educational requirements for teachers. In each state, a stratified random sample of 40 centers/schools was selected from the list of all the school/centers or programs (both contractors and subcontractors) provided to the researchers by each state's department of education. In total, 238 sites participated in the fall and two additional sites joined the study in the spring. Participating teachers helped the data collectors recruit children into the study by sending recruitment packets home with all children enrolled in the classroom. On the first day of data collection, the data collectors determined which of the children were eligible to participate. Eligible children were those who (1) would be old enough for kindergarten in the fall of 2002, (2) did not have an Individualized Education Plan, according to the teacher, and (3) spoke English or Spanish well enough to understand simple instructions, according to the teacher. Pre-kindergarten data collection for the SWEEP Study took place during the 2003-2004 school year in five states: Massachusetts, New Jersey, Texas, Washington, and Wisconsin. These states were selected to complement the states already in the Multi-State Study of Pre-K by including programs with significantly different funding models or modes of service delivery. In each of the five states, 100 randomly selected state-funded pre-kindergarten sites were recruited for participation in the study from a list of all sites provided by the state. In total, 465 sites participated in the fall. Two sites declined to continue participation in the spring, resulting in 463 sites participating in the spring. Participating teachers helped the data collectors recruit children into the study by sending recruitment packets home with all children enrolled in the classroom. On the first day of data collection, the data collectors determined which of the children were eligible to participate. Eligible children were those who (1) would be old enough for kindergarten in the fall of 2004, (2) did not have an Individualized Education Plan, according to the teacher, and (3) spoke English or Spanish well enough to understand simple instructions, according to the teacher. Demographic information collected across both studies includes race, teacher gender, child gender, family income, mother's education level, and teacher education level. The researchers also created a variable for both the child-level data and the class-level data which allows secondary users to subset cases according to either the Multi-State or SWEEP study.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Pre-Kindergarten in Eleven States: NCEDL's Multi-State Study of Pre-Kindergarten and Study of State-Wide Early Education Programs (SWEEP) - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/34877"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0037",
      "title": "State of Preschool Yearbook: State-Funded Pre-K Program Data, 2011-2012 School Year",
      "description": "The State of Preschool Yearbook is annual review of access to, quality standards in, and resources devoted to state-funded preschool programs for 3- and 4-year-old children in the 54 programs in 40 states and the District of Columbia providing such programs, based on a survey of administrators of state-funded preschool programs. This edition of data covers the 2011-2012 school year, and accompanies the 2012 State of Preschool Yearbook.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State of Preschool Yearbook: State-Funded Pre-K Program Data, 2011-2012 School Year - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/34942"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0038",
      "title": "Third Grade Follow-up to the Head Start Impact Study (HSIS), United States, 2007-2008",
      "description": "Since its beginning in 1965 as a part of the War on Poverty, Head Start's goal has been to boost the school readiness of low income children. Based on a \"whole child\" model, the program provides comprehensive services that include preschool education; medical, dental, and mental health care; nutrition services; and efforts to help parents foster their child's development. Head Start services are designed to be responsive to each child's and family's ethnic, cultural, and linguistic heritage. In the 1998 reauthorization of Head Start, Congress mandated that the United States Department of Health and Human Services determine, on a national level, the impact of Head Start on the children it serves. This legislative mandate required that the impact study address two main research questions: What difference does Head Start make to key outcomes of development and learning (and in particular, the multiple domains of school readiness) for low-income children? What difference does Head Start make to parental practices that contribute to children's school readiness? Under what circumstances does Head Start achieve the greatest impact? What works for which children? What Head Start services are most related to impact? The Head Start Impact Study (HSIS) addresses these questions by reporting on the impacts of Head Start on children and families during the children's preschool, kindergarten, and first grade years. The HSIS was conducted with a nationally representative sample of nearly 5,000 three- and four-year old preschool children across 84 nationally representative grantee/delegate agencies in communities where there are more eligible children and families than can be served by the program. The children participating were randomly assigned to either a treatment group (which had access to Head Start services) or a comparison group (which did not have access to Head Start services, but could receive other community resources). The HSIS data collection began in the fall of 2002 and ended in spring 2006, following children through the spring of their first grade year. Baseline data were collected through parent interviews and child assessments in fall 2002. The annual spring data collection included child assessments, parent interviews, teacher surveys, and teacher-child ratings. In addition, during the preschool years only, data collection included classroom and family day care observations, center director interviews, care provider interviews, and care provider-child ratings. The Third Grade Follow-up to the Head Start Impact Study builds upon the existing randomized control design in the Head Start Impact Study (HSIS) in order to determine the longer-term impact of the Head Start program on the well-being of children and families through the end of third grade. The data collection for the Third Grade Follow-up to the Head Start Impact Study was conducted during the spring of the children's third grade year (2007 and 2008). In addition to the child assessments, parent interviews, teacher surveys, and teacher-child-ratings used for the Head Start Impact Study (HSIS) data collection, a principal survey was added to collect school data, including school demographics, and characteristics and quality indicators for schools, teachers and classrooms. As part of the third grade child assessment, self-reported data also was collected on the child's perception of his/her academic and social skills. Both studies, for different grade levels, examined differences in outcomes in several domains related to school readiness: children's cognitive, social-emotional, health, and parenting outcomes (e.g., use of spanking, exposing children to cultural enrichment activities, and parenting styles). It also examined whether impacts differed based on characteristics of the children and their families, including the child's pre-academic skills at the beginning of the study; the child's primary language; whether the child has special needs; the mother's race/ethnicity; the primary caregiver's level of depressive symptoms; household risk; and urban or rural location.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education",
        "family support services",
        "public health"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Third Grade Follow-up to the Head Start Impact Study (HSIS), United States, 2007-2008 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/35003"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0039",
      "title": "Head Start CARES Demonstration: National Evaluation of Three Approaches to Improving Preschoolers' Social and Emotional Competence, 2009-2015",
      "description": "Low-income preschool children experience greater risks to their social and emotional development than their more affluent peers. These gaps are observed before children begin their formal schooling, and they remain or increase during the elementary school years. Since social and emotional risks may compromise children's future mental health and peer relationships, addressing them is important in its own right. In addition, social-emotional competence may aid learning: children who have difficulty regulating their emotions and behaviors have been found to receive less instruction, to be less engaged in and less positive about their role as learners, and to have fewer opportunities for learning from peers. The Head Start CARES (Classroom-based Approaches and Resources for Emotion and Social skill promotion) demonstration tests three distinct approaches to enhancing children's social-emotional development on a large scale within the Head Start system - the largest federally funded early-childhood education program in the United States. Conceived and sponsored by the Office of Head Start and the Office of Planning, Research and Evaluation in the Administration for Children and Families within the United States Department of Health and Human Services, the Head Start CARES demonstration was conducted by MDRC, a nonprofit, nonpartisan education and social policy research organization, in collaboration with MEF Associates and several academic partners. The three evidence-based social-emotional interventions selected for the Head Start CARES evaluation included: The Incredible Years Teacher Training Program (IY), Preschool PATHS (PATHS), and a one-year version of Tools of the Mind- Play (Tools). The interventions are referred to as \"enhancements\" because they enriched and complemented existing practices and curricula used in Head Start classrooms. These enhancements represent three \"types\" of social-emotional programming. That is, while all three were aimed at children's social-emotional development, they varied in their approach to changing this set of child outcomes by targeting somewhat different teacher practices, because they were built on differing theories about how social and emotional skills develop. Baseline and Follow-up Class-level Impact Analysis Data Files Data included in class-level data files were collected from external observers and teachers through two sources: Classroom Observations and Teacher Self-Surveys. Classroom Observations were conducted by observers blind to treatment status who observed the classrooms participating in the study in four different sessions at Spring Baseline and Pre-K Follow-up. This source includes the Classroom Assessment Scoring System (CLASS) scores and the Adapted Teaching Style Rating Scale (Adapted-TSRS) scores. Teacher Self-Surveys were collected from lead teachers at Spring Baseline and Pre-K Follow-up. This data source includes information on classroom composition as well as teacher demographics, teaching experience, level of stress and depression, and professional relationship with peers and supervisors. Child-level Impact Analysis Data File Data included in this file were collected at Fall Baseline, Pre-K Follow-up and K Follow-up from teachers, children and their parents through three sources: Teacher Reports on Individual Children, Direct Child Assessments and Parent Surveys. Teacher Reports on Individual Children (Teacher Reports) were collected at Fall Baseline, Pre-K Follow-up and K Follow-up. Lead teachers filled out surveys for each child separately, including questions about the child's social skills and behavior, the child's specific knowledge and skills, and the teacher's relationship with the child. Teacher reports were collected for both 4-year-olds and 3-year-olds at Fall Baseline and Pre-K Follow-up, but were not collected for 3-year-olds at K Follow-up. As a cover page to the Teacher Report, a shortened version of the Teacher Self-Survey was collected at K Follow-up and those data are included in this dataset. Direct Child Assessments were conducted at Fall Baseline and Pre-K Follow-up. The dataset comprises data on a set of tasks measuring different skills for each child separately, including social and emotional skills, self-regulation skills and academic skills. Direct Child Assessments were collected for 4-year- olds only. Parent Surveys were collected at Fall Baseline and K Follow-up. The survey was administered by phone and includes information on family demographics, parent-teacher involvement, parent's perception of school safety, child's social skills and behavior problems, parental level of stress and depression, and household composition and income. Parent Surveys were collected for 4-year-olds only. Class-level Implementation Analysis Data File This data file includes data collected from coaches, trainers and teachers on teacher training, classroom-based coaching, and classroom implementation. The data included in this dataset were collected through five separate instruments: (1) Teacher Training Attendance Forms, (2) Coach Weekly Logs, (3) Coach Monthly Fidelity Logs, (4) Trainer Fidelity Logs, and (5) Teacher's View of the Enhancement. Data collected from the first four data sources were collected multiple times during the implementation year while the fifth was collected once at the beginning of the implementation year. The instruments were administered through the Head Start CARES management information system (MIS) with the exception of the Teacher Training Attendance Forms, which were collected on paper. The file also includes some Teacher Self-Survey variables. Data were collected for program group classrooms only. Coach-level Implementation Analysis Data File This data file includes data collected from coaches and trainers on classroom-based coaching. The data included in this dataset were collected through five separate instruments: (1) Teacher Training Attendance Forms, (2) Trainer Supervision Logs, (3) Trainer Logs of Coach Quality, (4) Coach Demographics Survey, and (5) Coach End-of-Year Reflections. The instruments were administered through the Head Start CARES management information system (MIS) with the exception of the Teacher Training Attendance Forms, which were collected on paper. Audiotape Analysis Data File The audiotape data file includes data created using qualitative information (audiotape transcripts of coach-teacher meetings) that can be used to conduct analyses on one of the two components of the professional development model for the Head Start CARES demonstration: classroom-based coaching. Child-level Tracking Data File The child-level tracking data file includes parent-reported data collected in elementary school for children from the Head Start CARES sample. It includes information from parents about children's location and grade, social skills and problem behaviors at home, and receipt of special services.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Head Start CARES Demonstration: National Evaluation of Three Approaches to Improving Preschoolers' Social and Emotional Competence, 2009-2015 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/35510"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0040",
      "title": "National Survey of Early Care and Education (NSECE), [United States], 2012",
      "description": "The 2012 National Survey of Early Care and Education (NSECE) is a set of four integrated, nationally representative surveys conducted in 2012. These were surveys of (1) households with children under 13, (2) home-based providers, (3) center-based providers, and (4) the center-based provider workforce. The 2012 NSECE documents the nation's current utilization and availability of early care and education (including school-age care), in order to deepen the understanding of the extent to which families' needs and preferences coordinate well with providers' offerings and constraints. The experiences of low-income families are of special interest as they are the focus of a significant component of early care and education and school-age child care (ECE/SACC) public policy. The 2012 NSECE calls for nationally-representative samples including interviews in all 50 states and Washington, DC. The study is funded by the Office of Planning, Research and Evaluation (OPRE) in the Administration for Children and Families (ACF), United States Department of Health and Human Services. The project team is led by the National Opinion Research Center (NORC) at the University of Chicago, in partnership with Chapin Hall at the University of Chicago and Child Trends. The Quick Tabulation and Public-Use Files are currently available via this site. Restricted-Use Files are also available at three different access levels; to determine which level of file access will best meet your needs, please see the NSECE Data Files Overview for more information. Level 1 Restricted-Use Files are available via the Child and Family Data Archive. To obtain the Level 1 files, researchers must agree to the terms and conditions of the Restricted Data Use Agreement and complete an application via ICPSR's online Data Access Request System. Level 2 and 3 Restricted-Use Files are available via the National Opinion Research Center (NORC). For more information, please see the access instructions for NSECE Levels 2/3 Restricted-Use Data . For additional information about this study, please see: NSECE project page on the OPRE website NSECE study page on NORC's website NSECE Data Users Page For more information, tutorials, and reports related to the National Survey of Early Care and Education, please visit the Child and Family Data Archive's Data Training Resources from the NSECE page.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child care and assistance",
        "early childhood services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Survey of Early Care and Education (NSECE), [United States], 2012 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/35519"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0041",
      "title": "Early Head Start Family and Child Experiences Survey (Baby FACES) Spring 2009-Spring 2012",
      "description": "The Early Head Start Family and Child Experiences Survey (Baby FACES) is a descriptive study of Early Head Start programs designed to inform policy and practice at both national and local levels. In 2007, the Office of Planning, Research and Evaluation (OPRE) in the Administration for Children and Families (ACF), United States Department of Health and Human Services, contracted with Mathematica Policy Research and its partners to implement this six-year longitudinal study in 89 Early Head Start programs around the country. Baby FACES followed two cohorts of children through their time in Early Head Start, starting in 2009, the first wave of data collection through age 3, with the final round of data in spring 2012. The Newborn Cohort includes pregnant mothers and newborn children (194 are in this group). The 1-year-old Cohort includes children who were approximately age 1 (782 were aged 10 to 15 months).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Early Head Start Family and Child Experiences Survey (Baby FACES) Spring 2009-Spring 2012 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/36074"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0042",
      "title": "Head Start Family and Child Experiences Survey (FACES), United States, 2014-2017",
      "description": "The 2014 Head Start Family and Child Experiences Survey, or FACES 2014, is the sixth in a series of national studies of Head Start, with earlier studies conducted in 1997, 2000, 2003, 2006, and 2009. This release includes nationally representative samples of Head Start programs and centers, classrooms, children and their families through spring of 2017. Data from surveys of Head Start program and center directors, classroom teachers, and parents provided descriptive information about program policies and practices, classroom activities, and the background and experiences of Head Start staff and families. Classroom observations were used to assess the quality of Head Start classrooms. Children in the study participated in a direct assessment that provided a picture of their school readiness skills at different time points. FACES 2014 used a new study design that differs from earlier rounds of FACES in several important ways: (1) it included larger program and classroom samples, (2) all data were collected in a single program year, (3) the baseline sample of children included both children enrolled in their first and second year of Head Start, and (4) several special studies were conducted along with the main (Core) study to collect more detailed information about a given topic, to study new populations of Head Start programs and participants, and to evaluate measures for possible use in future rounds of FACES. For example, the Family Engagement Plus study collected information from parents and staff (teachers and family services staff) on family engagement efforts and service provision in Head Start programs. The Office of Head Start, the Administration for Children and Families, other federal agencies, local programs, and the public have depended on FACES for valid and reliable national information on (1) the skills and abilities of Head Start children, (2) how Head Start children's skills and abilities compare with preschool children nationally, (3) Head Start children's readiness for and subsequent performance in kindergarten, and (4) the characteristics of the children's home and classroom environments. The FACES study was designed to enable researchers to answer a wide range of research questions that are crucial for aiding program managers and policymakers. Some of the questions that are central to FACES include: What are the demographic characteristics of the population of children and families served by Head Start? How has the population served by Head Start changed? What are the experiences of families and children in the Head Start program? How have they changed? What are the cognitive and social skills of Head Start children at the beginning and end of the program year? Has Head Start program performance improved over time? What are the qualifications of Head Start teachers in terms of education, experience, and credentials? Are average teacher education levels rising in Head Start? What is the observed quality of Head Start classrooms as early learning environments, including the level and range of teaching and interactions, provisions for learning, emotional and instructional support, and classroom organization? How has quality changed over time? What program- and classroom-level factors are related to observed classroom quality? How is observed quality related to children's outcomes and developmental gains? The User Guide provides detailed information about the FACES 2014 study design, execution, and data to inform and assist researchers who may be interested in using the data for future analyses. The following items are provided in the User Guide as appendices. Appendix A - Elements Of The FACES Design And Key Measures Used (And Child Outcomes Captured): FACES 1997 - FACES 2014 Appendix B - Copyright Permissions Appendix C - Instrument Content Matrices Appendix D - Instruments Appendix E - Spring 2015 Center/Program Codebook Appendix F - Spring 2015 Classroom/Teacher Codebook Appendix G - 2014-2015 Child Codebook Appendix H - Spring 2015 Family Engagement Family Service Staff Interview Codebook Appendix I - Spring 2015 Family Engagement Parent Interview Codebook Appendix J - Spring 2017 Center/Program Codebook Appendix K - Spring 2017 Classroom/Teacher Codebook Appendix L - Descriptions of Constructed/Derived Variables Appendix M - Synthetic Estimation for Child Growth Across Two Years",
      "contactPoint": [
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          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Head Start Family and Child Experiences Survey (FACES), United States, 2014-2017 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/36643"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0043",
      "title": "Early Childhood Longitudinal Study [United States]: Kindergarten Class of 1998-1999",
      "description": "The Early Childhood Longitudinal Study (ECLS) program provides national data on children's status at birth and at various points thereafter, children's transition to nonparental care, early education programs, and school, and children's experiences and growth through the fifth grade. ECLS also provides data to test hypotheses about the effects of a wide range of family, school, community, and individual variables on children's development, early learning, and early performance in school. The Kindergarten Class of 1998-1999 addresses four key issues: (1) school readiness, (2) children's transitions to kindergarten, first grade, and beyond, (3) the relationship between children's kindergarten experience and their elementary school performance, and (4) children's growth in math, reading, and general knowledge (i.e., science and social studies), and their progress through elementary school.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Early Childhood Longitudinal Study [United States]: Kindergarten Class of 1998-1999 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/3676"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0044",
      "title": "American Indian and Alaska Native Head Start Family and Child Experiences Survey, 2015",
      "description": "The Head Start Family and Child Experiences Survey (FACES) is a major source of information on Head Start programs and the children and families they serve. Since 1997, FACES has conducted studies in a nationally representative sample of Head Start programs, but has historically not included Region XI (programs operated by federally-recognized tribes), whose programs are designed to serve predominantly American Indian and Alaska Native (AI/AN) children and families. The American Indian and Alaska Native Head Start Family and Child Experiences Survey 2015 (AI/AN FACES 2015), the first national study of Region XI AI/AN Head Start children and families, is designed to fill this information gap. The design of AI/AN FACES 2015 has been informed by members of the AI/AN FACES 2015 Workgroup which includes tribal Head Start directors, researchers with expertise working with tribal communities, Mathematica Policy Research study staff, and federal officials from the Office of Head Start, Region XI, and the Office of Planning, Research and Evaluation. Building on FACES as the foundation, members of the AI/AN FACES 2015 Workgroup have shared insights and information on the kinds of information needed about children and families served by Region XI AI/AN Head Start programs (including children's development and school readiness, parent and family demographics, health, and program engagement, and teacher, classroom, and program characteristics). Members also provided input on recruitment practices and study methods that are responsive to the unique cultural and self-governing contexts of tribal Head Start programs. Data collection with Region XI children, families, classrooms, and programs took place in the Fall of 2015 and the Spring of 2016. Twenty-one Region XI Head Start programs participated. Procedures for tribal review and approval in each of those 21 communities were followed. Information about this study has been shared broadly with tribal Head Start programs and tribal leaders via OHS tribal consultations, nationally-broadcast webinars, National Indian Head Start Directors' Association Board of Directors (NIHSDA) annual conferences, the 2016 ACF National Research Conference on Early Childhood, and the Secretary's Tribal Advisory Council (STAC) December 2014 and 2016 meetings.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education",
        "native american and tribal services",
        "public health"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "American Indian and Alaska Native Head Start Family and Child Experiences Survey, 2015 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/36804"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0045",
      "title": "Early Learning Mentor Coach Study (ELMC), 2010-2012 [42 States]",
      "description": "The ELMC Study collected data to describe the objectives, activities, approaches, strategies, and other aspects of the Early Learning Mentor Coach (ELMC) initiative from the perspectives of Head Start grantees, coaches, and staff. In October 2010, the funds to support the ELMC initiative were distributed to 130 Head Start grantees in 42 states and the District of Columbia for a seventeen month period. Grantees used the funds to hire coaches to provide on-the-job guidance, training, mentoring and technical assistance to Head Start staff. The grant recipients reflected the diversity of Head Start programs, including Migrant and Seasonal Head Start and American Indian and Alaskan Native Head Start grantees. Data was collected using a mixed-methods design (qualitative and quantitative) and the following data collection instruments: a grantee census survey; a coach census survey; coach telephone interviews; and staff telephone interviews with staff who received coaching. At this time, only the quantitative data are available via ICPSR .",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "early childhood services",
        "grants"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Early Learning Mentor Coach Study (ELMC), 2010-2012 [42 States] - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/36852"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0046",
      "title": "Head Start Impact Study (HSIS), 2002-2008 with Center Analysis File [United States]",
      "description": "Since its beginning in 1965 as a part of the War on Poverty, Head Start's goal has been to boost the school readiness of low income children. Based on a \"whole child\" model, the program provides comprehensive services that include preschool education; medical, dental, and mental health care; nutrition services; and efforts to help parents foster their child's development. Head Start services are designed to be responsive to each child's and family's ethnic, cultural, and linguistic heritage. In the 1998 reauthorization of Head Start, Congress mandated that the United States Department of Health and Human Services determine, on a national level, the impact of Head Start on the children it serves. This legislative mandate required that the impact study address two main research questions: What difference does Head Start make to key outcomes of development and learning (and in particular, the multiple domains of school readiness) for low-income children? What difference does Head Start make to parental practices that contribute to children's school readiness? Under what circumstances does Head Start achieve the greatest impact? What works for which children? What Head Start services are most related to impact? The Head Start Impact Study addresses these questions by reporting on the impacts of Head Start on children and families during the children's preschool, kindergarten, and first grade years. It was conducted with a nationally representative sample of nearly 5,000 three- and four-year old preschool children across 84 nationally representative grantee/delegate agencies in communities where there are more eligible children and families than can be served by the program. The children participating were randomly assigned to either a treatment group (which had access to Head Start services) or a comparison group (which did not have access to Head Start services, but could receive other community resources). Data collection began in the fall of 2002 and ended in spring 2006, following children through the spring of their first grade year. Baseline data were collected through parent interviews and child assessments in fall 2002. The annual spring data collection included child assessments, parent interviews, teacher surveys, and teacher-child ratings. In addition, during the preschool years only, data collection included classroom and family day care observations, center director interviews, care provider interviews, and care provider-child ratings. The study examined differences in outcomes in several domains related to school readiness: children's cognitive, social-emotional, health, and parenting outcomes (e.g., reading to the child, use of spanking and time out, exposing children to cultural enrichment activities, safety practices, parent-child relationships). It also examined whether impacts differed based on characteristics of the children and their families, including the child's pre-academic skills at the beginning of the study; the child's primary language; whether the child has special needs; the mother's race/ethnicity; the primary caregiver's level of depressive symptoms; household risk; and urban or rural location. The Head Start Impact Study differs from other evaluations of early childhood programs in that it: represents children from the majority of Head Start programs, represents a scaled-up federal program, represents the full range of quality within the national program, employs a randomized control design, the strongest design for testing impacts, examines all domains of children's school readiness, as well as parenting outcomes, follows children through their early years of elementary school, and compares children who have access to Head Start to a control group that includes many children in center-based and other forms of early childhood education programs. The Third Grade Follow-up to the Head Start Impact Study builds upon the existing randomized control design in the Head Start Impact Study (HSIS) in order to determine the longer-term impact of the Head Start program on the well-being of children and families through the end of third grade. The data collection for the Third Grade Follow-up to the Head Start Impact Study was conducted during the spring of the children's third grade year (2007 and 2008). In addition to the child assessments, parent interviews, teacher surveys, and teacher-child-ratings used for the Head Start Impact Study (HSIS) data collection, a principal survey was added to collect school data, including school demographics, and characteristics and quality indicators for schools, teachers and classrooms. As part of the third grade child assessment, self-reported data also was collected on the child's perception of his/her academic and social skills. Both studies, for different grade levels, examined differences in outcomes in several domains related to school readiness: children's cognitive, social-emotional, health, and parenting outcomes (e.g., use of spanking, exposing children to cultural enrichment activities, and parenting styles). It also examined whether impacts differed based on characteristics of the children and their families, including the child's pre-academic skills at the beginning of the study; the child's primary language; whether the child has special needs; the mother's race/ethnicity; the primary caregiver's level of depressive symptoms; household risk; and urban or rural location. This collection also includes the Center Analysis file, which contains data from a variety of publicly available data sources and provides information about the HSIS centers' communities, including population and household characteristics, crime statistics, labor, and housing data. The Center Analysis file is a new file for the collection to be accessed only through the VDE.",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education",
        "family support services",
        "public health"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Head Start Impact Study (HSIS), 2002-2008 with Center Analysis File [United States] - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/36968"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0047",
      "title": "Child Care Licensing Study, United States, 2012-2014",
      "description": "The 2014 Child Care Licensing Study provides information collected about child care licensing programs and policies and the regulations for childcare centers, family child care homes, and group child care homes for all 50 States, the District of Columbia, and the two U.S. Territories (Guam and the Virgin Islands). The data about States and Territories' licensing policies, including facility monitoring, enforcement of licensing regulations, and licensing program staffing, were gathered by the National Association for Regulatory Administration (NARA) in the 2014 NARA Child Care Licensing Programs and Policies Survey. NARA sent an online survey to all state child care licensing agencies in September 2014. Respondents submitted their answers via the Internet, and by January 2015, all States had responded. The data from the Licensing Survey cover the following topical areas: Number of licensed facilities Complaint investigations Licensing staff Enforcement actions Types of inspections Licensing information on the Internet Frequency of inspections Licensing fees Frequency of licensing Licensing staff requirements Inspections and monitoring Licensing's role in quality initiatives The child care center licensing regulations used for this study were compiled by the National Center for Early Childhood Quality Assurance from the regulations posted on the National Resource Center for Health and Safety in Child Care and Early Education (NRC) website between January 1, 2012, and December 31, 2014. That site is no longer active but directs users to the National Database of Child Care Licensing Regulations . The licensing regulations data cover the following areas: Licensing regulations Additional staff training requirements Definition of licensed child care centers Child-staff ratios and group size Staff roles and age requirements Supervision of children Staff qualifications and ongoing training requirements Care of children Facility requirements and Staff hiring requirements The same web site was used to collect licensing regulations covering the above listed topics for small family child care homes and large/group family child care homes.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "early childhood services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Child Care Licensing Study, United States, 2012-2014 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/37026"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0048",
      "title": "Early Head Start-Child Care (EHS-CC) Partnerships, United States, 2016-2022",
      "description": "The Early Head Start-Child Care Partnerships (EHS-CCP) datasets contains data from two studies: (1) the 2016 National Descriptive Study (the NDS), which collected information about the 2015 EHS-CC Partnerships grantees and their child care partners (including child care centers and family child care providers) and the activities they engaged in to develop and maintain partnerships and meet the Head Start Program Performance Standards, assess their quality improvement needs, and support high quality caregiving and learning environments for infants and toddlers; and (2) the 2022 EHS-CCP Sustainability Study (the Sustainability Study), a follow-up study of the 2016 NDS, which collected information about how partnerships from the first round of grants had fared as of 2022 and factors that supported or impeded partnership sustainability. Both studies were conducted by Mathematica. The NDS collected data through web-based surveys of grantee directors and a sample of child care directors and family child care providers. The Sustainability Study collected data using web-based surveys of EHS program directors and child care providers in sustained and dissolved partnerships. It also collected qualitative data using semi-structured interviews to provide more in-depth information from purposively selected providers in sustained and dissolved partnerships. (Both NDS and Sustainability Study analyses of EHS programs are conducted at the grant level, with information about partnerships between providers and any delegate agencies rolled up to the level of the EHS-CCP grant. The term \"program\" is used in the Sustainability Study. Previously, in the NDS, \"grantee\" was used to refer to the same level of analysis.) The responses to the survey of grantees and their delegate agencies produced three NDS datasets. The first dataset, Partnership Grantee and Delegate Agency Director Survey, contains data from a survey of Early Head Start grantees and their delegate agencies. This dataset contains questions answered by the grantee or delegate agencies about themselves and contains one observation per grantee. Datasets two and three are also associated with the grantee and delegate agency survey. The second dataset, Grantee and Delegate Agencies Partner Characteristics, contains responses to the initial survey from the grantee or delegate regarding characteristics of all of their child care partners. This dataset was used to create a random sampling of approximately 20 percent of the child care partners for additional questions as well as a separate Child Care Partner survey, which were used to create both datasets three and four. Dataset three, Grantee and Delegate Agencies Randomly Sampled Partner Characteristics, contains responses from grantee and delegate agencies regarding the partners identified by the random sampling created from dataset two. The second survey conducted by Mathematica was of these selected child care partners, and dataset four, Child Care Partner Survey, is comprised of responses to questions asked of the child care partners about themselves. Demographic information contained in these datasets includes education level, degree field, length of occupation, and occupation. The Sustainability Study examined how partnerships from the first round of grants had fared as of 2022 and factors that supported or impeded partnership sustainability. The Sustainability Study also looks at features of sustained partnerships (partnerships from the NDS that were still in place at the time of the Sustainability Study) as well as active partnerships (which include sustained partnerships as well as those that are new since the NDS, and regardless of whether they are funded through an EHS-CC Partnerships grant). There are four Sustainability Study data files. Two program director survey files (one at the program level, and one at the provider level, for information about individual child care providers reported by the program director), one child care provider survey file, and one file containing transcripts of semi-structured interviews with dissolved and sustained partnership providers. Citation Skidmore, S., Clochard, A., Carlson, B., Doran, E., Cannon, J., Bernstein, S., Albanese, S., Del Grosso, P., and Xue, Y. (2023). Early Head Start-Child Care Partnerships Sustainability Study Data Documentation. Washington, DC: Office of Planning, Research and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child care and assistance",
        "early childhood services",
        "education",
        "grants"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Early Head Start-Child Care (EHS-CC) Partnerships, United States, 2016-2022 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/37233"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0049",
      "title": "Migrant and Seasonal Head Start Study, United States, 2017-2018",
      "description": "In 2015, the Administration for Children and Families funded a new study - the Migrant and Seasonal Head Start Study (MSHS Study) - to focus on MSHS programs and the families they serve. The MSHS Study was designed to closely match the characteristics of the whole population of MSHS programs, centers, families, and children across the United States (a \"nationally representative study\"). Since the last nationally representative study of MSHS was conducted almost 20 years ago, this study provided an update on MSHS programs and centers, as well as the migrant and seasonal farmworker families they serve. The MSHS Study included data from programs and centers (collected from surveys of program and center directors), classrooms (collected through classroom observations and from surveys of teachers and assistant teachers), families (collected from interviews with parents), and children (collected from direct assessments, assessor ratings, and parent and teacher ratings of children). Although the study gathered a range of program, practice, and family information, a central theme of the data collection focused on language practice and the language skills and abilities of the children served. The study examined the following research questions: What are the characteristics of MSHS programs, centers, staff, families, and children? What services does MSHS provide, and what are the instructional practices and general classroom quality of MSHS classrooms? What are the associations between MSHS characteristics and child/family well-being? The MSHS Study methodology, sample, and measures were all developed (or selected) in collaboration with MSHS stakeholders and experts in MSHS programs and early childhood research. The study was conducted by Abt Associates and its partners - the Catholic University of America and Westat - under contract to the Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. This collection is organized into 18 data parts: 4 files with data from MSHS staff surveys , including surveys with program directors (DS2), center directors (DS4), teachers (DS7), and assistant teachers (DS8). All staff surveys collected information on the respondent's background and experience and then focused on questions relevant to each respondent. For example, the Program Director Survey collected information on issues such as enrollment, program policies, and approaches to hiring, communication, and supervision. The Center Director Survey focused on characteristics of the center, such as staffing, enrollment, family engagement, and instructional practices. The Teacher and Assistant Teacher Surveys gathered information on topics at the classroom level, such as classroom composition and language(s) of instruction, and also included the 12-item version of the Center for Epidemiologic Studies Depression Scale. 1 file with data from classroom observations (DS6), including items from the Classroom Assessment Scoring System (CLASS) Pre-K, Early Language and Literacy Classroom Observation-Dual Language Learners (ELLCO-DLL), and the MSHS Cultural Items and Language Use (CILU) Checklist. 5 direct child assessments , including height and weight measurements (DS10), the Leiter-3 Examiner Rating Scale (DS11), the Preschool Language Scales Fifth Edition (PLS-5) - English (DS12), the PLS-5 - Bilingual (DS13), and the Woodcock Mu?oz Language Survey (DS14). 1 file with data from the Ages and Stages Questionnaire (DS15) completed by teachers for infants and young children to assess children's nonverbal and verbal communication skills. 1 file for Teacher Report of Child (DS16), including data from children's language dominance and proficiency, questions about delays and disabilities, the MacArthur-Bates Communicative Development Inventory (CDI-English)/Inventario del Desarrollo de Habilidades Comunicativas (IDHC-Spanish), Early Childhood Longitudinal Study (ECLS)-Birth Cohort questions on counting in English and Spanish, and ECLS-Kindergarten Approaches to Learning. 1 file for Parent Report of Child (DS17), including data from the MacArthur-Bates CDI-English/IDHC-Spanish, Brief Infant-Toddler Social and Emotional Assessment, and the ECLS-B Socioemotional Scale. 1 file with data from the Parent Interview (DS18) that focused on characteristics of the household and focal child. The interview also included items from the Center for Epidemiologic Studies Depression Scale and the Migrant Farmworker Stress Inventory. 4 survey control files , which include the disposition code for each sampled program (DS1), center (DS3), classroom (DS5), and child/parent (DS9), as well as the base sampling weights and some additional sample information. Various demographic information, such as age, sex, marital status, race, and ethnicity, is also included in the data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Migrant and Seasonal Head Start Study, United States, 2017-2018 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/37348"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0050",
      "title": "Early Head Start Family and Child Experiences Survey (Baby FACES) Spring 2018 [United States]",
      "description": "The Early Head Start Family and Child Experiences Survey (Baby FACES) is a nationally representative descriptive study of Early Head Start. The first cohort of Baby FACES was fielded in 2009-2012. It used a longitudinal design and followed two age cohorts of children (newborns and 1-year-olds) through their time in Early Head Start. Baby FACES was redesigned in 2015 to employ a repeated cross-sectional approach to provide a comprehensive snapshot of Early Head Start with a nationally representative sample of programs, centers, home visitors, teachers/classrooms, and enrolled families, children of all age groups, and pregnant women in Administration for Children and Families (ACF) Regions I through X. Using the cross-sectional design, the second cohort of Baby FACES was fielded in the spring of 2018 (Baby FACES 2018) and a third is planned for spring of 2020 (Baby FACES 2020). Baby FACES 2018 and 2020 have a particular focus on the processes in the classrooms/home visits that support responsive relationships, including teacher-child relationships, staff-parent relationships, and parent-child relationships. These studies address the overarching research question: How do Early Head Start services support infant/toddler growth and development in the context of nurturing, responsive relationships?",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Early Head Start Family and Child Experiences Survey (Baby FACES) Spring 2018 [United States] - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/37666"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0051",
      "title": "Child Care Licensing Study, United States, 2017",
      "description": "The 2017 Child Care Licensing Study provides information collected about child care licensing programs and policies and the facility requirements for child care centers, family child care homes, and group child care homes for all 50 states and the District of Columbia. Limited center regulations data are available for U.S. territories of Guam, the Northern Mariana Islands, Puerto Rico, and the Virgin Islands. The data about state licensing policies, including facility monitoring, enforcement of licensing regulations, and licensing program staff, were gathered by the National Association for Regulatory Administration (NARA) in the 2017 NARA Child Care Licensing Programs and Policies Survey. NARA sent an online survey to all state child care licensing agencies in March 2018. Respondents submitted their answers via Survey Monkey, and by January 2019, all states had responded. The data from the Licensing Survey cover the following topical areas: Number of licensed facilities Complaint investigations Licensing staff Enforcement actions Types of inspections Licensing information on the Internet Frequency of inspections Licensing fees Frequency of licensing Licensing staff requirements Inspections and monitoring Licensing's role in quality initiatives The data about licensing requirements for child care centers, family child care homes, and group child care homes were collected by the National Center on Early Childhood Quality Assurance from the regulations posted on the National Database of Child Care Licensing Regulations that were in effect as of December 31, 2017. The licensing regulations data cover the following areas: Licensing regulations Additional staff training requirements Definition of licensed child care centers Child-staff ratios and group size Staff roles and age requirements Supervision of children Staff qualifications and ongoing training requirements Care of children Facility requirements and Staff hiring requirements The same web site was used to collect licensing regulations covering the above listed topics for small family child care homes and large/group family child care homes.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "early childhood services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Child Care Licensing Study, United States, 2017 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/37700"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0052",
      "title": "Mother and Infant Home Visiting Program Evaluation-Strong Start (MIHOPE-Strong Start), United States, 2012-2017",
      "description": "Mother and Infant Home Visiting Program Evaluation-Strong Start (MIHOPE-Strong Start) was a large-scale evaluation that rigorously tested the effectiveness of evidence-based home visiting in improving birth and health outcomes during pregnancy and in the year after birth. Local programs included in the study's analysis implemented one of two evidence-based models: Healthy Families America (HFA) or Nurse-Family Partnership (NFP). These models were chosen because earlier evaluations found some evidence of their having positive impacts on birth outcomes. The Office of Planning, Research, and Evaluation (OPRE) of the Administration for Children and Families (ACF) partnered with the Center for Medicare and Medicaid Innovation (CMMI) of the Centers for Medicare and Medicaid Services (CMS) and the Maternal and Child Health Bureau (MCHB) of the Health Resources and Services Administration (HRSA) to sponsor the study. MIHOPE-Strong Start was part of the CMMI's Strong Start for Mothers and Newborns Initiative, which evaluated whether enhanced, nonmedical prenatal interventions, when provided in addition to routine medical care, have the potential to improve birth outcomes and reduce health care costs for women enrolled in Medicaid or the Children's Health Insurance Program (CHIP). Under contract with OPRE, MDRC conducted MIHOPE-Strong Start in collaboration with James Bell Associates, Johns Hopkins University, Mathematica, and New York University. The analysis for MIHOPE-Strong Start included 2,899 women and 66 local programs (37 HFA and 29 NFP programs) operating across 17 states: California, Georgia, Illinois, Indiana, Iowa, Kansas, Massachusetts, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Washington, and Wisconsin. Women were eligible for MIHOPE-Strong Start if they were pregnant and at least 8 weeks from their due date. The MIHOPE-Strong Start analysis included a subset of families and local programs that were recruited for MIHOPE, the national evaluation of the Maternal, Infant, and Early Childhood Home Visiting (MIECHV) program. Specifically, the MIHOPE-Strong Start impact analysis included information on 46 local home visiting programs and 1,845 families that were initially recruited for MIHOPE but met the MIHOPE-Strong Start eligibility criteria. An important distinction between MIHOPE-Strong Start and MIHOPE is that MIHOPE included only programs receiving MIECHV funding, while MIHOPE-Strong Start included both MIECHV and non-MIECHV-funded programs. In both studies, families were randomly assigned either to an evidence-based home visiting program or to a control group who was given information on other services available in the community. The random assignment design was intended to create program and control groups that were similar when women entered the study, so that systematic differences in the outcomes of interest observed between the two groups can be attributed to the home visiting services rather than to the preexisting characteristics of the women.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "family support services",
        "public health"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "state"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Mother and Infant Home Visiting Program Evaluation-Strong Start (MIHOPE-Strong Start), United States, 2012-2017 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/37847"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0053",
      "title": "Mother and Infant Home Visiting Program Evaluation (MIHOPE), United States, 2012-2027",
      "description": "In 2010, the United States Congress authorized the Maternal, Infant, and Early Childhood Home Visiting (MIECHV) program, which started a major expansion of evidence-based home visiting programs for families living in at-risk communities. MIECHV is administered by the Health Resources and Services Administration (HRSA) in collaboration with the Administration for Children and Families (ACF) within the U.S. Department of Health and Human Services (HHS). The authorizing legislation required an evaluation of the program, which became the Mother and Infant Home Visiting Program Evaluation (MIHOPE). The evaluation has been conducted for HHS by MDRC with James Bell Associates, Johns Hopkins University, Mathematica, the University of Georgia, and Columbia University. MIHOPE was designed to learn whether families benefit from MIECHV-funded early childhood home visiting programs, and if so, how. The study included the four evidence-based models that 10 or more states chose in their initial MIECHV plans in fiscal year 2010-2011: Early Head Start - Home-based option, Healthy Families America, Nurse-Family Partnership, and Parents as Teachers. MIHOPE is the first study to include all of these four evidence-based models. To provide rigorous evidence on the MIECHV-funded programs' effects, the study randomly assigned more than 4,200 families, recruited from 88 local programs across 12 states, to receive either MIECHV-funded home visiting or information on other services in the community. As of 2026, there have been four follow-up time points where impacts on child and family outcomes were measured: when the chidren participating in the study were approximately 15 months old, 2.5 years old, 3.5 years old, and in kindergarten/first grade. In addition, a benefit-cost analysis of outcomes from previous waves of MIHOPE and administrative data collected when the children are in approximately 3rd grade will be conducted.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child welfare",
        "early childhood services",
        "employment",
        "family support services",
        "family violence prevention",
        "public health"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "state"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Mother and Infant Home Visiting Program Evaluation (MIHOPE), United States, 2012-2027 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/37848"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0054",
      "title": "National Survey of Early Care and Education (NSECE) Public-Use Files, [United States], 2019",
      "description": "The 2019 National Survey of Early Care and Education (2019 NSECE) is a set of four nationally-representative integrated surveys conducted in 2019 of 1) households with children under age 13, 2) home-based early care and education (ECE) providers, 3) center-based ECE providers, and 4) the center-based ECE provider workforce. Together these four surveys characterize the supply of and demand for ECE in the United States and create a better understanding of how well families' needs and preferences coordinate with providers' offerings and constraints. The NSECE surveys make particular effort to measure the experiences of low-income families, as these families are the focus of a significant component of ECE and school-age public policy. The NSECE was first conducted in 2012. Before that effort, there had been a 20-year long absence of nationally representative data on the use and availability of ECE in the United States. The NSECE was conducted again in 2019 to update the information from 2012 and shed light on how the ECE and school-age care landscape changed from 2012 to 2019. The 2019 NSECE followed a similar design as the 2012 survey, including surveying households with children under age 13, home-based providers, center-based providers, and staff working in center-based classrooms. The 2019 NSECE was funded by the Office of Planning, Research, and Evaluation (OPRE) in the Administration for Children and Families (ACF), United States Department of Health and Human Services (HHS). The project team was led by NORC at the University of Chicago, with partners Chapin Hall at the University of Chicago and Child Trends, as well as other collaborating individuals and organizations. Restricted-Use Data Files The 2019 NSECE quick tabulation and public-use files are currently available via this site. The Level 1 restricted-use files that supplement the public-use data are also available through ICPSR (see National Survey of Early Care and Education (NSECE) Level 1 Restricted-Use Files, [United States], 2019 (ICPSR 38445) ). Level 2 and Level 3 restricted-use files are available via the National Opinion Research Center (NORC). For more information, please see the instructions for NSECE Levels 2/3 Restricted-Use Data . For additional information about this study, please see: NSECE project page on the OPRE website NSECE study page on NORC's website NSECE Data Users Page For quick links to the PDF manuals (for the Quick Tabulation Files) and user's guides (for the Public-Use Files), please visit the Data Training Resources from the NSECE page. In addition, users can select \"Documentation Only\" from the Download tab on this study homepage to download all NSECE documentation in one zip file. Researchers interested in applying for the Restricted-Use Data Files are encouraged to read the user's guides before completing their application.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Survey of Early Care and Education (NSECE) Public-Use Files, [United States], 2019 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/37941"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0055",
      "title": "Head Start Family and Child Experiences Survey 2019 (FACES 2019)",
      "description": "The Head Start Family and Child Experiences Survey (FACES) has been a source of information on the Head Start program and the children and families it serves. The 2019 Head Start Family and Child Experiences Survey, or FACES 2019, is the seventh in a series of national studies of Head Start, with earlier studies conducted in 1997, 2000, 2003, 2006, 2009, and 2014. It includes nationally representative samples of Head Start programs and centers, classrooms, and children and their families during the 2019-2020 program year. Data from surveys of Head Start program and center directors and classroom teachers provide descriptive information about program policies and practices, classroom activities, and the background of Head Start staff. These data compromise the Classroom Study. A sample of these programs also provides data from parent surveys, teacher child reports, and direct child assessments as part of the Classroom + Child Outcomes Study. FACES 2019 is designed to help policymakers address current policy questions and to support programs and practitioners working with Head Start families. According to the study design, FACES would have assessed children's readiness for school, surveyed parents, and asked teachers to provide information on children in both fall 2019 and spring 2020. In response to the COVID-19 (for coronavirus disease 2019) pandemic, however, FACES 2019 cancelled the first piece--the in-person data collection of child assessments in spring 2020. In-person classroom observations as part of the Classroom Study were also cancelled in spring 2020. FACES is designed so that researchers can answer a wide range of research questions that are crucial for aiding program directors and policymakers. FACES 2019 data may be used to describe (1) the quality and characteristics of Head Start programs, teachers, and classrooms; (2) the changes or trends in the quality and characteristics of the classrooms, programs, and staff over time; (3) the school readiness skills and family characteristics of the children who participate in Head Start; (4) the factors or characteristics that predict differences in classroom quality; (5) the changes or trends in the children's outcomes and family characteristics over time; and (6) the factors or characteristics at multiple levels that predict differences in the children's outcomes. The study also supports research questions related to subgroups of interest, such as children with identified disabilities and children who are dual-language learners (DLLs), as well as policy issues that emerge during the study. The study addresses changes in children's outcomes and experiences as well as changes in the characteristics of Head Start classrooms over time and across the rounds of FACES. Some of the questions that are central to FACES include: What are the characteristics of Head Start programs, including structural characteristics and program policies and practices? What are the characteristics and observed quality of Head Start classrooms? What are the characteristics and qualifications of Head Start teachers and management staff? Are the characteristics of programs, classrooms, and staff changing over time? What are the demographic characteristics and home environments of children and families who participate in Head Start? Are family demographic characteristics and aspects of home environments changing over time? How do families make early care and education decisions? What are the experiences of families and children in Head Start? What are the average school readiness skills and developmental outcomes of the population of Head Start children in fall and spring of the Head Start year? What gains do children make during a year of Head Start? Are children's school readiness skills (average skills or average gains in skills) improving over time? Does classroom quality vary by characteristics of classrooms, teachers, or programs? What characteristics of programs, teachers, or classrooms are associated with aspects of classroom quality? Do the school readiness skills of children in fall and spring and their gains in skills vary by child, family, program, and classroom characteristics? What is the association between observed classroom quality and children's school readiness skills? Between child and family characteristics and children's school readiness skills? The User Guide provides detailed information about the FACES 2019 study design, execution, and data to inform and assist researchers who may be interested in using the data for future analyses. The following items are provided in the User Guide as appendices. Appendix A. Elements of the FACES Design and Key Instruments Used (and Child Outcomes Captured): FACES 1997-FACES 2019 Appendix B. Copyright Permissions Appendix C. Instrument Content Matrices Appendix D. Instruments Appendix E. Spring 2020 Center/Program Codebook Appendix F. Spring 2020 Classroom/Teacher Codebook Appendix G. Fall 2019-Spring 2020 Child Codebook Appendix H. Descriptions of Composite Variables",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Head Start Family and Child Experiences Survey 2019 (FACES 2019) - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/38026"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0056",
      "title": "Head Start Family and Child Experiences Survey (FACES), Family Engagement Plus Study, United States, 2014-2015",
      "description": "The 2014 Head Start Family and Child Experiences Survey , or FACES 2014, is the sixth in a series of national studies of Head Start, with earlier studies conducted in 1997, 2000, 2003, 2006, and 2009. FACES 2014 used a new study design that differs from earlier rounds of FACES in several important ways: (1) it included larger program and classroom samples, (2) all data were collected in a single program year, (3) the baseline sample of children included both children enrolled in their first and second year of Head Start, and (4) several special studies were conducted along with the main (Classroom + Child Outcomes Core and Classroom Core) study to collect more detailed information about a given topic, to study new populations of Head Start programs and participants, and to evaluate measures for possible use in future rounds of FACES. For example, the Family Engagement Plus study collected information from parents and staff (teachers and family services staff) on family engagement efforts and service provision in Head Start programs. The FACES 2014 Family Engagement Plus study took place in spring 2015 within the 60 programs that participated in the child-level data collection in the Classroom + Child Outcomes Core study. This Plus study describes family engagement practices in Head Start from the perspectives of parents and Head Start staff. It examines how practices align with the Head Start Parent, Family, and Community Engagement (PFCE) Framework and targeted family outcomes. It also explores how programs engage with community partners to provide comprehensive services to families and how parents and staff characterize their relationships with one another. It includes semi-structured interviews with parents and family services staff (FSS) as well as supplemental content added to the Core parent and teacher surveys. This release includes open-ended qualitative data from the semi-structured interviews included in the Family Engagement Plus study. The primary research questions for the Family Engagement Plus study are as follows: What do family engagement efforts look like in Head Start? How are families engaged in Head Start and in their children's learning and development at home and in the community? What staff are involved in family engagement efforts, and in what ways are they involved in those efforts? How are comprehensive family services provided in Head Start? How do parents and staff characterize their relationships and interactions with one another? How do family engagement efforts and service provisions align with the Head Start Parent, Family, and Community Engagement (PFCE) Framework? The User's Manual provides detailed information about the Family Engagement Plus study design, execution, and data to inform and assist researchers who may be interested in using the data for future analyses or pairing the Family Engagement qualitative data collection sources with other FACES 2014 sources.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Head Start Family and Child Experiences Survey (FACES), Family Engagement Plus Study, United States, 2014-2015 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/38027"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0057",
      "title": "American Indian and Alaska Native Head Start Family and Child Experiences Survey 2019 (AIAN FACES 2019)",
      "description": "Historically there has been little information about children attending Region XI Head Start programs (programs operated by federally recognized tribes); however, in 2015 the first AIAN FACES study provided a national picture of children, families, and programs in Region XI. Native voices were at the forefront of this study in the AIAN FACES 2015 Workgroup, comprised of Region XI Head Start directors, researchers, and federal officials. AIAN FACES 2019 is the second round of this national study of Region XI Head Start children and families and their experiences in Head Start programs and classrooms. The AIAN FACES 2019 study design is the same as the design for AIAN FACES 2015. AIAN FACES 2019 convened its own workgroup with a composition similar to the 2015 workgroup. The AIAN FACES 2019 Workgroup provided advice on study activities from measurement updates to data collection and dissemination. AIAN FACES 2019 sought to (1) describe the strengths and needs of all children in Region XI, (2) provide an accurate picture of all children and families who participate in Region XI (AIAN and non-AIAN), and (3) understand the cultural and linguistic experiences of Native children and families in Region XI AIAN Head Start. Data collection with Region XI children, families, classrooms, and programs took place in the fall of 2019 and the spring of 2020. In both fall and spring, the study collected data from parent surveys and teacher child reports. In fall 2019, the study conducted direct child assessments. In spring 2020, teachers, center directors, and program directors completed surveys. Twenty-two Region XI Head Start programs participated. The study followed procedures for tribal review and approval in each of those 22 communities. AIAN FACES 2019 also planned to conduct direct child assessments and classroom observations in spring 2020. Due to the COVID-19 (for coronavirus disease 2019) pandemic, AIAN FACES cancelled in-person data collection (direct child assessments and classroom observations) after the second week of March, 2020. Therefore, the study was only able to collect direct child assessment and classroom observation data in seven of its 22 programs. For more information on the spring 2020 direct child assessments and classroom observations, see the Spring 2020 Partial Sample User's Manual. Researchers may request access to the Spring 2020 Partial Sample Data File containing these partial data from direct child assessments and classroom observations as part of their application. The data are provided in a separate file for exploratory purposes only. These partial data cannot be used to develop estimates representing Region XI children as a whole.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education",
        "native american and tribal services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "American Indian and Alaska Native Head Start Family and Child Experiences Survey 2019 (AIAN FACES 2019) - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/38028"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0058",
      "title": "Early Head Start Research and Evaluation (EHSRE) Study, 1996-2010: [United States]",
      "description": "Early Head Start (EHS) programs are comprehensive, two-generation programs that focus on enhancing children's development while strengthening families. Designed for low-income pregnant women and families with infants and toddlers up to age 3, Early Head Start programs strive to achieve their goals by designing program options based on family and community needs. Programs may offer one or more options to families, including a home-based option, a center-based option, a combination option in which families receive a prescribed number of home visits and center-based experiences, and locally designed options, which in some communities include family child care. The Early Head Start Research and Evaluation (EHSRE) Study was conducted by Mathematica Policy Research (MPR) and included five major components: (1) an implementation study; (2) an impact evaluation, using an experimental design; (3) local research studies to learn about pathways to desired outcomes; (4) policy studies to respond to information needs in areas of emerging policy-relevant issues; and (5) continuous program improvement. The study involved 3,001 children and families in 17 sites representing diverse program models, racial/ethnic makeup, urban-rural location, program auspice, and program experience in serving infants and toddlers. Three phases comprise the collection: Birth to Three (\"0-3\"), Pre-Kindergarten (\"PreK\") Follow-up and the Elementary School (\"G5\") Follow-up. A brief description of each phase is provided below: Birth to Three Phase (1996-2001): included a cross-site national study that encompassed an Impact Evaluation and Implementation Study that investigated program impacts on children and families through their time in the program as well as site-specific research conducted by local research projects. Pre-Kindergarten Follow-up Phase (2001-2005) : built upon the earlier research and followed the children and families who were in the original study from the time they left the Early Head Start program until they entered kindergarten. It was designed to document the long-term consequences of receiving either Early Head Start services or other community services up until age 3 combined with subsequent Head Start or other formal early care and education programs on children's school readiness and parent functioning. Elementary School Follow-up Phase (2005-2010): assessed children and families when the children were fifth graders or attending their sixth year of formal schooling. The study included direct assessments of children's cognitive, socio-emotional, and physical development; parent interviews; teacher questionnaires; and videotaping of maternal-child interactions. The Early Head Start findings are based on a mixture of direct child assessments, observations of children's behavior by in-person interviewers, ratings of videotaped parent-child interactions in standardized ways, ratings of children's behaviors by their parents, and parents' self-reports of their own behaviors, attitudes, and circumstances. Data in this collection were constructed by the Mathematica Policy Research (MPR) researchers for use in their analyses. Very few of the original source variables are present in this public-use file. The constructs came from several data sources: Baseline data, which were collected from the Head Start Family Information System (HSFIS) program application and enrollment forms and the MPR Tracking System. These data contain information on the program status of each case, characteristics of the applicant, mother, and focus child from the MPR Tracking System, summary variables pertaining to all family members, and information on the father, on family circumstances, on the mother's pregnancy, and on the focus child. Parent services follow-up interviews (PSI) targeted for 6, 15, and 26 months after random assignment. These data contain information on use of services both in and outside of Early Head Start, progress toward economic self-sufficiency, family health, and children's health. Parent interviews (BPI) targeted for completion when children were 14, 24, and 36 months old. These interviews obtained a large amount of information from the primary caregivers about their child's development and family functioning. Specific questions asked of parents in the parent interview included items about raising a baby, child's health, household composition, child care, mother figure, father figure, family routines, parents' and parent-child activities, child behavior, and stressful events. Child and family assessments targeted for administration when children were 14, 24, and 36 months old. Field interviewers recorded information from their observations of children's behavior and home environments. Direct child assessments included Bayley Assessments, Peabody Picture Vocabulary Tests (PPVTs), and videotaped semi-structured parent-child interactions. Child care provider interviews and observations targeted for administration when children were 14, 24, and 36 months old. Interview and observation data were collected from child care providers for children who were in child care arrangements that met particular criteria when they were approximately 14, 24 and 36 months old. Different data collection instruments were used for children in child care centers and children cared for by family child care providers or relatives. Data from both types of providers may be used together for some types of analyses. Father interviews targeted for collection when children were 24 and 36 months old. In addition to asking mothers about their child's father, biological fathers and father figures in 12 sites were interviewed directly about fathering issues at the time of the 24- and 36-month birthday-related interviews (but not when children were 14 months old).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "early childhood services",
        "education",
        "family support services",
        "public health"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Early Head Start Research and Evaluation (EHSRE) Study, 1996-2010: [United States] - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/3804"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0059",
      "title": "Study of Coaching Practices in Early Care and Education Settings (SCOPE), United States, 2019-2021",
      "description": "The Study of Coaching Practices in Early Care and Education Settings (SCOPE), funded by the Administration for Children and Families (ACF), aimed to examine the range of coaching options utilized in the early care and education (ECE) field. Data collection occurred in two phases, with initial data collection occurring in 2019 and follow-up data collection occurring in 2021 (referred to as SCOPE 2019 and SCOPE 2021, respectively). SCOPE 2019 examined how the prevalence, implementation, combination, and tailoring of coaching features vary across center-based classrooms and family child care (FCC) homes serving preschool-age children. In addition, the study explored programmatic and systems-level factors related to the implementation of coaching. SCOPE 2021 aimed to understand the practice and processes of coaching--and professional development more broadly--in supporting ECE settings throughout the COVID-19 pandemic, and how those practices and processes have been adapted or changed in the context of the pandemic. The SCOPE 2021 surveys expanded the focus on remote versus in-person coaching strategies. The SCOPE project was a mixed-methods study. SCOPE was conducted in seven states, and used a purposive sampling approach. The study included centers and FCCs that served preschool-age children from families with a low income. It primarily included settings funded through a Head Start grant or serving children with Child Care and Development Fund (CCDF) subsidies, though settings also used other forms of funding. From February through July 2019, the project implemented web-based surveys with center directors, center teachers, FCC providers, and coaches. From July to October 2021, the study implemented follow-up web-based surveys with center directors, FCC providers and coaches who responded to the survey in 2019, and additionally conducted in-depth qualitative interviews with a subset of these respondents.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child care and assistance",
        "early childhood services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Study of Coaching Practices in Early Care and Education Settings (SCOPE), United States, 2019-2021 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/38290"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0060",
      "title": "National Database of Childcare Prices, [United States], 2008-2018",
      "description": "The National Database of Childcare Prices (NDCP) provides childcare prices at the county level in the United States. The NDCP is a new data source, and the most comprehensive federal source of childcare prices at the county level in the United States. The NDCP was developed to fill a need for local-level childcare price data, standardized across U.S. states. Most existing sources of childcare price data provide prices at the state level, yet parents must choose childcare providers that are in close proximity to their homes or workplaces. Therefore, state averages are unlikely to be good estimates of the prices parents encounter in the market. State average prices do not reflect the substantial variation in prices from one locale to the next within a state and underestimate prices in urban areas. The NDCP provides data on the price of childcare by children's age groups and care setting (home-based or center-based) at the median and 75th percentile over an 11-year period (2008-2018, inclusive) at the county level. The data were obtained from state Lead Agencies responsible for conducting market rate surveys (MRS) according to Child Care and Development Fund regulations. A MRS is the collection and analysis of prices charged by childcare providers for services in the priced market. All state Lead Agencies must conduct a survey and develop a report on local childcare prices in their state every three years. The Women's Bureau contracted with ICF to obtain reports and data from previously conducted surveys to develop the NDCP. The NDCP standardizes and harmonizes data across years and geographies for about 200 previously-conducted MRS. The NDCP also provides county-level demographic and economic data from the American Community Survey. The accompanying User Guide (U.S. Department of Labor, Women's Bureau National Database of Childcare Prices: Final Report) provides detailed information about the data sources, data collection strategy, standardization and imputation of the data, and data limitations to inform and assist researchers who may be interested in using the data for future analyses. The following items are provided in the User Guide as appendices. Appendix A: Data Collection Protocol and Decisions Made During Data Entry Process, Including State Nuances Appendix B: List of Imputations Performed for Each State and Year Appendix C: Initial Price Modes per States' MRS Reports Appendix D: Data Dictionary and Additional Imputation Methodology Appendix E: Making the Database Accessible",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "employment"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Database of Childcare Prices, [United States], 2008-2018 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/38303"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0061",
      "title": "National Survey of Early Care and Education (NSECE) Level 1 Restricted-Use Files, [United States], 2019",
      "description": "The 2019 National Survey of Early Care and Education (2019 NSECE) is a set of four nationally-representative integrated surveys conducted in 2019 of 1) households with children under age 13, 2) home-based early care and education (ECE) providers, 3) center-based ECE providers, and 4) the center-based ECE provider workforce. Together these four surveys characterize the supply of and demand for ECE in the United States and create a better understanding of how well families' needs and preferences coordinate with providers' offerings and constraints. The NSECE surveys make particular effort to measure the experiences of low-income families, as these families are the focus of a significant component of ECE and school-age public policy. The NSECE was first conducted in 2012. Before that effort, there had been a 20-year long absence of nationally representative data on the use and availability of ECE. The NSECE was conducted again in 2019 to update the information from 2012 and shed light on how the ECE and school-age care landscape changed from 2012 to 2019. The 2019 NSECE followed a similar design as the 2012 survey, including surveying households with children under age 13, home-based providers, center-based providers, and staff working in center-based classrooms. The 2019 NSECE is funded by the Office of Planning, Research, and Evaluation (OPRE) in the Administration for Children and Families (ACF), United States Department of Health and Human Services (HHS). The project team is led by NORC at the University of Chicago, with partners Chapin Hall at the University of Chicago and Child Trends, as well as other collaborating individuals and organizations. The Level 1 data supplements the public-use data (see National Survey of Early Care and Education (NSECE) Public-Use Files, [United States], 2019 (ICPSR 37941) ), with minimal overlap of variables across the data files. For additional information about this study, please see: NSECE project page on the OPRE website NSECE study page on NORC's website NSECE Data Users Page For quick links to the PDF manuals (for the Quick Tabulation Files) and user's guides (for the Public-Use Files), please visit the Data Training Resources from the NSECE page. In addition, users can select \"Documentation Only\" from the Download tab on this study homepage to download all NSECE documentation in one zip file. Researchers interested in applying for the Restricted-Use Data Files are encouraged to read the user's guides before completing their application.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child care and assistance",
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Survey of Early Care and Education (NSECE) Level 1 Restricted-Use Files, [United States], 2019 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/38445"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0062",
      "title": "Understanding Children's Transitions from Head Start to Kindergarten (HS2K), United States, 2019-2023",
      "description": "The purpose of this project was to better understand how to improve children's transitions from Head Start programs to elementary schools. Central to this project was a systems approach that recognizes that effective transitions require intentional engagement from both the sending programs (Head Start) and the receiving programs (elementary schools). This approach also recognized that transition strategies and practices must be implemented at multiple levels - among classroom teachers in Head Start and kindergarten, families, elementary school principals and Head Start directors, Head Start grantees and school districts, and state and federal agencies. Specifically, the project aimed to explore the definition of \"successful transitions\" by addressing the following research questions: What strategies and practices are Head Start programs implementing to support children as they transition from Head Start to kindergarten? What is the content, quality, and quantity of these strategies and practices? How are they experienced by children, families, teachers, and other direct service providers? What characterizes relationships/partnerships among Head Start programs, elementary schools, and other community partners that support children's successful transitions from Head Start to kindergarten? What are the specific facilitators of, and barriers to, successful transitions? What are the key perceived short- and long-term outcomes of transition strategies and practices for children, families, Head Start teachers, and kindergarten teachers? What are the key contextual factors and mechanisms that result in these key perceived outcomes? This project included several key tasks, including a review of the knowledge base, the development of a theory of change, a scan of existing measures and data sources to determine alignment with the theory of change, the development of new measures based on gaps identified in the measures scan, and the implementation of a comparative multi-case study.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Understanding Children's Transitions from Head Start to Kindergarten (HS2K), United States, 2019-2023 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/38527"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0063",
      "title": "Child Care Licensing Study, United States, 2020",
      "description": "The 2020 Child Care Licensing Study provides information collected about child care licensing programs and policies and the facility requirements for child care centers, family child care homes, and group child care homes for all 50 states and the District of Columbia. The data about licensing requirements for child care centers, family child care homes, and group child care homes were collected by the National Center on Early Childhood Quality Assurance from the regulations posted on the National Database of Child Care Licensing Regulations that were in effect as of December 31, 2020. The licensing regulations data cover the following areas: Licensing regulations Additional staff training requirements Definition of licensed child care centers Child-staff ratios and group size Staff roles and age requirements Supervision of children Staff qualifications and ongoing training requirements Care of children Facility requirements Staff hiring requirements The same web site was used to collect licensing regulations covering the above listed topics for small family child care homes and large/group family child care homes.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "early childhood services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Child Care Licensing Study, United States, 2020 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/38539"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0064",
      "title": "National Survey of Early Care and Education (NSECE) COVID-19 Longitudinal Follow-up, [United States], 2019-2022",
      "description": "In 2019, the National Survey of Early Care and Education (NSECE) team conducted a set of four integrated surveys of 1) households with children under age 13, 2) home-based providers, 3) center-based providers, and 4) the center-based workforce as a cross-sectional follow-up to the original 2012 NSECE. Together they characterize the supply of and demand for early care and education (ECE) in the U.S. and permit better understanding of how well families' needs and preferences mirror providers' offerings and constraints. The NSECE surveys make particular effort to measure the experiences of low-income families, as these families are the focus of a significant component of ECE and school-age public policy. In light of the onset of the COVID-19 pandemic in Spring 2020, the Office of Planning, Research, and Evaluation (OPRE) funded a new data collection effort beginning in 2020 to learn how the pandemic was affecting ECE providers and the individuals who work directly with children in ECE settings. The NSECE project team sought to re-interview center-based providers, center-based workforce members, listed home-based providers, and unlisted and paid home-based providers, who completed surveys in the 2019 NSECE. Households participating in the 2019 NSECE were not included in the NSECE COVID-19 Longitudinal Follow-up. Data collection for the NSECE COVID-19 Longitudinal Follow-up took place across two waves between late 2020 and early 2022. The NSECE was first conducted in 2012. Before that effort, there had been a 20-year long absence of nationally representative data on the use and availability of ECE. The NSECE was conducted again in 2019 to update the information from 2012 and shed light on how the ECE and school-age care landscape changed from 2012 to 2019. The 2019 NSECE followed a similar design as the 2012 survey, including surveying households with children under age 13, home-based providers, center-based providers, and staff working in center-based classrooms. The 2019 NSECE is funded by the Office of Planning, Research, and Evaluation (OPRE) in the Administration for Children and Families (ACF), U.S. Department of Health and Human Services (HHS). The project team is led by NORC at the University of Chicago, with partners Chapin Hall at the University of Chicago and Child Trends, as well as other collaborating individuals and organizations. For additional information about this study, please see: NSECE project page on the OPRE website NSECE study page on NORC's website NSECE Data Users Page For more information, tutorials, and reports related to the NSECE, please visit the Child and Family Data Archive's Data Training Resources from the NSECE page.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child care and assistance",
        "early childhood services",
        "employment"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Survey of Early Care and Education (NSECE) COVID-19 Longitudinal Follow-up, [United States], 2019-2022 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/38578"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0065",
      "title": "Early Head Start Family and Child Experiences Survey (Baby FACES), United States, Spring 2022",
      "description": "The Early Head Start Family and Child Experiences Survey (Baby FACES) is a nationally representative descriptive study of Early Head Start. The first cohort of Baby FACES was fielded in 2009-2012. It used a longitudinal design and followed two age cohorts of children (newborns and 1-year-olds) through their time in Early Head Start. Baby FACES was redesigned in 2015 to employ a repeated cross-sectional approach to provide a comprehensive snapshot of Early Head Start with a nationally representative sample of programs, centers, home visitors, teachers/classrooms, and enrolled families, and children of all age groups in Administration for Children and Families (ACF) Regions 1 through 10. Using the cross-sectional design, the second cohort of Baby FACES was fielded in the spring of 2018 (Baby FACES 2018) and the third cohort was fielded in spring 2022 (Baby FACES 2022). Baby FACES 2018 and 2022 have a particular focus on the processes in the classrooms and home visits respectively that support responsive relationships, including teacher-child relationships, staff-parent relationships, and parent-child relationships. These studies address the overarching research question: How do Early Head Start services support infant/toddler growth and development in the context of nurturing, responsive relationships?",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Early Head Start Family and Child Experiences Survey (Baby FACES), United States, Spring 2022 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/38660"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0066",
      "title": "Early Care and Education Leadership Study (ExCELS), United States, 2022",
      "description": "The Early Care and Education Leadership Study (ExCELS) was funded by the Office of Planning, Research, and Evaluation within the Administration for Children and Families in the U.S. Department of Health and Human Services. The project team was led by Mathematica and the Institute for Early Education Leadership and Innovation at the University of Massachusetts Boston. The project included a descriptive study with the following goals: (1) establish a measure of early care and education (ECE) leadership in center-based settings that serve children birth through age five (not yet in kindergarten) that meets standards for reliability and validity to support its intended use and (2) examine empirical support for the associations among key constructs and outcomes in the theory of change of ECE leadership for quality improvement. Research questions focused on understanding the three key elements that define what leadership in center-based ECE settings looks like: (1) who leaders are, (2) what individuals bring to leadership, and (3) what ECE staff do as leaders. From February through July 2022, the study team recruited 132 ECE centers across four states that served children from birth through age 5 (who are not yet in kindergarten), and that were supported by Head Start grants or Child Care and Development Fund (CCDF) subsidies. From March through August 2022, the study team conducted phone interviews to collect center characteristics and learn about the center's staffing structure and leadership positions, and distributed surveys to center managers and teaching staff in recruited centers. The User's Guide for this study can be obtained by selecting \"Documentation Only\" from the Download tab on this study homepage. The User's Guide and all ExCELS documentation will download in one zip file.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child care and assistance",
        "early childhood services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Early Care and Education Leadership Study (ExCELS), United States, 2022 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/38706"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0067",
      "title": "Head Start Family and Child Experiences Survey (FACES 2014) Contextual Variables Data File, United States, 2014-2017",
      "description": "FACES provides national information about Head Start programs and participants. Beginning in 1997, a series of nationally representative samples of Head Start children and their families, classrooms, and programs has described the population served by Head Start; staff qualifications, credentials, and opinions; Head Start classroom practices and quality measures; and the experiences and well-being of children and families. FACES studies have included assessments that measure children's cognitive skills, social-emotional skills, and physical status; observations of classroom quality; and surveys of children's parents, teachers, center directors, and program directors. The Family and Child Experiences Survey (FACES 2014) Contextual Variables Data File contains 28 contextual, community-level variables about 399 Head Start centers included in the FACES 2014 study sample. It does not contain data collected as part of the FACES 2014 study; instead, it contains information from publicly available data sources and is designed to merge with other FACES 2014 data files to enhance the understanding of Head Start center communities. The contextual variables data describe characteristics of the census tract or block group in which Head Start centers are located. The contextual variables include three index variables constructed by research institutions, 24 demographic and socioeconomic variables derived from the American Community Survey (ACS), and a measure of rural/urban status from the U.S. Department of Agriculture. The FACES 2014 Contextual Variables Data File is intended to be used with the other FACES 2014 data files. For example, in conjunction with the other FACES 2014 data, these data could be used to: describe the characteristics of neighborhoods where children attend Head Start, describe how children's experiences or Head Start quality differ by neighborhood characteristics, or explore associations among neighborhoods, Head Start experiences, and child and family well-being.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Head Start Family and Child Experiences Survey (FACES 2014) Contextual Variables Data File, United States, 2014-2017 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/38861"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0068",
      "title": "Assessing the Implementation and Cost of High Quality Early Care and Education Project (ICHQ) Field Test, United States, 2021",
      "description": "Mathematica conducted a field test for the Assessing the Implementation and Cost of High Quality Early Care and Education (ICHQ) Project. The goals of the field test were to: Refine implementation measures to further improve and establish their psychometric properties Refine cost measures to identify costs associated with each key function and across ages of children Test the associations between implementation, cost, and quality measures. The research team recruited a purposive sample of 80 centers in Arizona, Arkansas, Colorado, and Pennsylvania to participate in the field test and conducted data collection from April to December 2021. Implementation interviews (DS2) were conducted by phone with either one or a few key staff who knew the most about the center's operations and educational program. Cost data (DS5) were collected in an electronic spreadsheet by staff who knew the most about each center's finances. A web-based time-use survey collected information about how all teaching staff and select center administrators spend their time in activities related to providing early care and education services (DS3). The research team also conducted a center engagement interview to gather information about center characteristics (DS1), and an additional survey of all teaching staff (the same respondents identified for the time-use survey) to assess their perceptions of center practices and the work environment (DS4).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child care and assistance",
        "early childhood services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Assessing the Implementation and Cost of High Quality Early Care and Education Project (ICHQ) Field Test, United States, 2021 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/38949"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0069",
      "title": "2021-2022 Study of Family and Staff Well-Being in Head Start FACES Programs (2021-2022 Study), United States",
      "description": "The 2021-2022 Study of Family and Staff Well-Being in Head Start FACES Programs (2021-2022 study), builds on the Head Start Family and Child Experiences Survey (FACES), which has been a source of national information about Head Start programs and participants since 1997. The motivation and goals of the Study of Family and Staff Well-Being in Head Start Family and Child Experiences Survey Programs (the 2021-2022 study) came from a need that arose as the COVID-19 pandemic continued into another year of affecting Head Start families' and staff's lives. The 2021-2022 study included two components. Firstly, the Program, Staff, and Family Study , was conducted in 60 programs, and included the collection of parent surveys and Teacher Child Reports (TCRs) in fall 2021 and spring 2022, as well as a teacher survey in fall 2021. Secondly, the Program and Staff Study , conducted in the 60 programs participating in the Program, Staff, and Family Study plus an additional 120 programs, included the collection of program director, center director, and teacher surveys in spring 2022. The 2021-2022 study aimed to describe the national population of Head Start programs, centers, teachers, classrooms, and children during the 2021-2022 program year. However, the Data Producers were unable to fully meet this goal because of challenges related to the COVID-19 pandemic. A nationally representative sample of Head Start programs was selected. However, fewer of the programs participated than expected. Probability samples of centers, teachers, and children within the participating programs were selected. Weights are available for analysis to account for the probability that children and their teachers, centers, and programs were selected for the study. This lessens the risk of bias due to study non-participation and survey nonresponse; and provide results that represent, to the extent possible, all programs, centers, teachers, classrooms, and children in Head Start. The responding sample may not fully represent the population due to higher-than-expected non-response that may not have been adequately addressed with weighting adjustments. Despite these limitations, the 2021-2022 study sample design supports many analyses for programs and teachers, as well as children. The data from the programs in the Program, Staff, and Family Study can address questions about the children and parents who participate in the program, including about children's development across one year in the Head Start program for both newly entering children and those returning for a second year. The study also supports research questions related to subgroups of interest, such as families with low income and specific racial/ethnic groups, as well as policy issues that emerge during the study. In addition, the research questions investigate the characteristics of Head Start programs, centers, and teachers, and the classrooms they teach. Users can use the same data to answer questions about the relationships between program and classroom characteristics and child and family well-being. The data from the larger sample of programs in the Program and Staff Study are most useful for answering questions about Head Start programs, classrooms, teachers, and program and center directors.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "2021-2022 Study of Family and Staff Well-Being in Head Start FACES Programs (2021-2022 Study), United States - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/38950"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0070",
      "title": "Study of Disability Services Coordinators in Head Start 2022 (DSC Study), United States",
      "description": "The 2022 Study of Disability Services Coordinators (DSCs) in Head Start was the first nationally representative study of the Early Head Start (EHS) and Head Start (HS) DSC workforce, their roles, and the activities they support. NORC at the University of Chicago, along with their partners at SRI International and consultant Amanda Schwartz, conducted the study under contract from the Office of Planning, Research, and Evaluation (OPRE) at the Administration for Children and Families (ACF) within the United States Department of Health and Human Services (HHS). The study was developed in close collaboration with the Office of Head Start (OHS), with OHS staff and EHS and HS staff providing review and feedback on the constructs of interest and the developing study measures. The study explored who fulfills the roles and responsibilities of a DSC in HS and EHS programs and how they work with program staff, local education agencies, service providers, and families to support children with disabilities and suspected delays in their programs. Data from this study sought to inform ACF and OHS about how programs were implementing the DSC efforts and topics for technical and training assistance. Further, programs can examine how their current practices compared to national and regional approaches to disability services.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Study of Disability Services Coordinators in Head Start 2022 (DSC Study), United States - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/39111"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0071",
      "title": "Home-Based Child Care Practices and Experiences Study (HBCC P&E Study), Alabama, Arizona, California, New York, 2023-2024",
      "description": "Home-based child care (HBCC) is a vital part of the nation's child care supply and the most common form of non-parental care (Datta et al. 2021a; Datta et al. 2021b). Yet HBCC providers have fewer resources and supports than providers in child care centers have, and many HBCC providers face challenges providing care (Henly and Adams 2018; NCECQA 2020; Bromer et al. 2021a, 2021b). The supply of licensed and subsidized family child care has also declined dramatically over the past decade (Datta et al. 2021a; NCECQA 2020). The Office of Planning, Research, and Evaluation within the Administration for Children and Families in the U.S. Department of Health and Human Services contracted with Mathematica and Erikson Institute to study (1) gaps in our understanding of HBCC supply and availability and (2) challenges defining and measuring quality in HBCC settings through the Home-Based Child Care Supply and Quality (HBCCSQ) project. The HBCCSQ project conducted two studies. The Home-Based Child Care Practices and Experiences Study (HBCC P&E Study) was a qualitative study of family, friend, and neighbor (FFN) providers across four sites in the United States. The HBCC P&E Study's objective was to learn about the experiences, strengths, resources, and strategies used by FFN providers and how these experiences intersect with their cultural, racial, ethnic, and linguistic identities and geographic locations. The Home-Based Child Care Toolkit for Nurturing School-Age Children (HBCC-NSAC Toolkit) Study was a validation study of the HBCC-NSAC Toolkit, a new measure designed to assess and strengthen the quality of care for school-age children in home-based child care. The HBCC-NSAC Toolkit Study's objective was to examine the reliability and validity evidence of the English version of the HBCC-NSAC Toolkit provider questionnaire and understand if the HBCC-NSAC Toolkit provider questionnaire can support home-based providers to identify and reflect on their caregiving strengths and areas for growth. For more information, visit the Administration for Children and Families, Office of Planning, Research and Evaluation HBCCSQ website .",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child care and assistance",
        "early childhood services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Home-Based Child Care Practices and Experiences Study (HBCC P&E Study), Alabama, Arizona, California, New York, 2023-2024 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/39160"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0072",
      "title": "The Role of Licensing in Early Care and Education (TRLECE), United States, 2023",
      "description": "State/territory Child Care and Early education (CCEE) licensing agencies establish and monitor regulations that child care programs serving young children must meet to legally operate. These regulations and monitoring practices play a large role in the operations of CCEE programs. The TRLECE project (The Role of Licensing in Early Care and Education) includes a collection of three descriptive surveys to deepen the CCEE field's understanding of CCEE licensing systems, which play a critical role in supporting positive outcomes for providers, families, and children. Data collection involved three national surveys with state/territory CCEE licensing administrators (DS1 and DS2), front-line CCEE licensing staff (DS3), and licensed CCEE providers (both center-based and family child care providers) (DS4). These surveys provide information on the licensing unit, characteristics and perceptions of licensing administrators, front-line staff's characteristics, experiences, and perceptions of licensing, and provider's experiences and perceptions of licensing.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The Role of Licensing in Early Care and Education (TRLECE), United States, 2023 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/39175"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0073",
      "title": "Migrant and Seasonal Head Start (MSHS Study) Center Location Data, United States, 2017-2018",
      "description": "To supplement the Migrant and Seasonal Head Start Study (MSHS) main data files ( Migrant and Seasonal Head Start Study, United States, 2017-2018 (ICPSR 37348) ) a new data file is available to users on the Virtual Data Enclave. This file contains information on the location of centers (region, state, zip code, and operational period) in the MSHS Study. The MSHS Study was conducted by Abt Associates and its partners--The Catholic University of America and Westat--under contract to the Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Migrant and Seasonal Head Start (MSHS Study) Center Location Data, United States, 2017-2018 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/39214"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0074",
      "title": "Survey on Where Parents Look for and Find Information and How They Use Information When Selecting Child Care, United States, 2024",
      "description": "The main objective of the Consumer Education and Parental Choice in Early Care and Education (CEPC) Parent Survey was to collect nationally representative survey data to learn about: Where parents look for and find information about child care and early education (CCEE) How parents living in a household with young children assess the people, places, or sources that may offer CCEE information What types of CCEE information parents look for How parents use information to select CCEE One of the goals of the survey was to gather information that may be used by child care Lead Agencies to inform their consumer education (CE) efforts. The CEPC Parent Survey aimed to expand the field's understanding of the types of information parents look for and where they get information. The information collected through the survey is descriptive and is not intended to assess the effectiveness or impact of CE strategies.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "early childhood services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Survey on Where Parents Look for and Find Information and How They Use Information When Selecting Child Care, United States, 2024 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/39220"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0075",
      "title": "Survey of Staff Recruitment, Training, and Professional Development in Early Head Start, United States, 2024",
      "description": "The Survey of Staff Recruitment, Training, and Professional Development in Early Head Start (EHS) was a nationally representative survey that described EHS programs' strategies, successes, and challenges to ensure staff meet or exceed the Head Start Program Performance Standards qualification and competency requirements. The survey included questions that asked EHS program staff how they searched for and hired qualified staff and supported staff in their ongoing career development.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "employment",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Survey of Staff Recruitment, Training, and Professional Development in Early Head Start, United States, 2024 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/39334"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0076",
      "title": "Child Care and Development Fund (CCDF) Policies Database, United States, 2009-2023",
      "description": "The Child Care and Development Fund (CCDF) provides federal money to states and territories to provide assistance to low-income families, to obtain quality child care so they can work, attend training, or receive education. Within the broad federal parameters, States and Territories set the detailed policies. Those details determine whether a particular family will or will not be eligible for subsidies, how much the family will have to pay for the care, how families apply for and retain subsidies, the maximum amounts that child care providers will be reimbursed, and the administrative procedures that providers must follow. Thus, while CCDF is a single program from the perspective of federal law, it is in practice a different program in every state and territory. The CCDF Policies Database project is a comprehensive, up-to-date database of CCDF policy information that supports the needs of a variety of audiences through (1) analytic data files, (2) a project website and search tool, and (3) an annual report (Book of Tables). These resources are made available to researchers, administrators, and policymakers with the goal of addressing important questions concerning the effects of child care subsidy policies and practices on the children and families served. A description of the data files, project website and search tool, and Book of Tables is provided below: 1. Detailed, longitudinal analytic data files provide CCDF policy information for all 50 states, the District of Columbia, and the United States territories and outlying areas that capture the policies actually in effect at a point in time, rather than proposals or legislation. They capture changes throughout each year, allowing users to access the policies in place at any point in time between October 2009 and the most recent data release. The data are organized into 32 categories with each category of variables separated into its own dataset. The categories span five general areas of policy including: Eligibility Requirements for Families and Children (Datasets 1-5) Family Application, Terms of Authorization, and Redetermination (Datasets 6-13) Family Payments (Datasets 14-18) Policies for Providers, Including Maximum Reimbursement Rates (Datasets 19-27) Overall Administrative and Quality Information Plans (Datasets 28-32) The information in the data files is based primarily on the documents that caseworkers use as they work with families and providers (often termed \"caseworker manuals\"). The caseworker manuals generally provide much more detailed information on eligibility, family payments, and provider-related policies than the CCDF Plans submitted by states and territories to the federal government. The caseworker manuals also provide ongoing detail for periods in between CCDF Plan dates. Each dataset contains a series of variables designed to capture the intricacies of the rules covered in the category. The variables include a mix of categorical, numeric, and text variables. Most variables have a corresponding notes field to capture additional details related to that particular variable. In addition, each category has an additional notes field to capture any information regarding the rules that is not already outlined in the category's variables. Beginning with the 2020 files, the analytic data files are supplemented by four additional data files containing select policy information featured in the annual reports (prior to 2020, the full detail of the annual reports was reproduced as data files). The supplemental data files are available as 4 datasets (Datasets 33-36) and present key aspects of the differences in CCDF-funded programs across all states and territories as of October 1 of each year (2009-2023). The files include variables that are calculated using several variables from the analytic data files (Datasets 1-32) (such as copayment amounts for example family situations) and information that is part of the annual project reports (the annual Book of Tables) but not stored in the full database (such as summary market rate survey information from the CCDF plans). 2. The project website and search tool provide access to a point-and-click user interface. Users can select from the full set of public data to create custom tables. The website also provides access to the full range of reports and products released under the CCDF Policies Database project. The project website and search tool and the data files provide a more detailed set of information than what the Book of Tables provides, including a wider selection of variables and policies over time. 3. The annual Book of Tables presents key aspects of the differences in CCDF funded programs across all states and territories as of October 1, 2023. The Book of Tables includes variables that are calculated using several variables from the data files (Datasets 1-32). The Book of Tables summarizes a subset of the information available in the data files, and includes information about eligibility requirements for families and children; application, redetermination, priority, and waiting list policies; family co-payments; and provider policies and payment rates. In many cases, a variable in the Book of Tables will correspond to a single variable in the data files. Usually, the variable options used in the Book of Tables will match the variable options in the data files. In some cases, the wording of the variable options may have been slightly modified for the tables.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "early childhood services",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Child Care and Development Fund (CCDF) Policies Database, United States, 2009-2023 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/39376"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0077",
      "title": "Study of Disability Services Coordinators in Head Start, 2022 (DSC Study), National Data, Regions I-XII, [United States]",
      "description": "The 2022 Study of Disability Services Coordinators (DSCs) in Head Start was the first nationally representative study of the Early Head Start (EHS) and Head Start (HS) DSC workforce, their roles, and the activities they support. NORC at the University of Chicago, along with their partners at SRI International and consultant Amanda Schwartz, conducted the study under contract from the Office of Planning, Research, and Evaluation (OPRE) at the Administration for Children and Families (ACF) within the United States Department of Health and Human Services (HHS). The study was developed in close collaboration with the Office of Head Start (OHS), with OHS staff and EHS and HS staff providing review and feedback on the constructs of interest and the developing study measures. The study explored who fulfills the roles and responsibilities of a DSC in EHS and HS programs and how they work with program staff, local education agencies, service providers, and families to support children with disabilities and suspected delays in their programs. Data from this study sought to inform ACF and OHS about how programs were implementing the DSC efforts and topics for technical and training assistance. Further, programs can examine how their current practices compared to national and regional approaches to disability services.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Study of Disability Services Coordinators in Head Start, 2022 (DSC Study), National Data, Regions I-XII, [United States] - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/39415"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0078",
      "title": "Head Start REACH: Strengthening Outreach, Recruitment, and Engagement Approaches with Families (HS REACH), United States, 2024-2025",
      "description": "This Head Start REACH: Strengthening Outreach, Recruitment, and Engagement Approaches with Families (HS REACH) project included a mixed-methods study to understand recruitment, selection, and enrollment approaches that Head Start programs use to engage Head Start-eligible families, including those experiencing adversities. The dataset in this release included a large, purposive sample of 60 Head Start programs across 15 geographic areas. The sample included program directors, staff with primary responsibility for eligibility, recruitment, selection, enrollment, and attendance (ERSEA), parents and caregivers who participate in the Head Start programs, and community organizations that Head Start programs partner with to recruit, select, and enroll families. The Heard Start REACH project was designed to answer the following research questions: How do Head Start programs and their partners support family recruitment, selection, and enrollment, especially among families with different adversities or demographic characteristics and different community contexts? What factors shape Head Start program practices, and how do they differ across families with different adversities and demographic characteristics and across different community contexts? What are Head Start families' perceptions of and experiences with Head Start recruitment, selection, and enrollment? How do experiences differ across families with different adversities and demographic characteristics and across different community contexts? What factors shape families' recruitment, selection, and enrollment experiences? How do those experiences differ across families with different adversities and demographic characteristics and across different community contexts? What Head Start recruitment, selection, and enrollment practices are most promising with families, including families with different adversities or demographic characteristics and different community contexts? Users should note that while the mixed-methods study did include qualitative transcripts, the transcripts are not included in the release to protect respondents' privacy.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Head Start REACH: Strengthening Outreach, Recruitment, and Engagement Approaches with Families (HS REACH), United States, 2024-2025 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/39442"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0079",
      "title": "Healthy Steps for Young Children Program National Evaluation, 1996-2001: [United States]",
      "description": "The Healthy Steps for Young Children program began in 1995 as a new approach to primary health care for young children, birth to age three. The program is intended to enhance early pediatric care by incorporating preventive developmental and behavioral services as part of a comprehensive, whole-child, whole-family model of health care and to help provide mothers and fathers with the childrearing information and guidance they seek. The evaluation of Healthy Steps consisted of three components: the National Evaluation, the Affiliate Evaluation, and the Embedded Observational Study. All data contained in these public release data sets come from the National Evaluation. For additional information on the Affiliate Evaluation or the Embedded Observational Study, please visit http://www.jhsph.edu/WCHPC_/Projects/Healthy_Steps/index.html . These data were gathered to assess whether the Healthy Steps program was successful in reorienting pediatric practice to emphasize child development issues in increasing parents' knowledge about early nurturing of infants and parents' involvement in their children's development and in promoting parents' practices that improve the health, safety, and health care utilization of their children. The data are organized as follows: Parent Forms: Newborn The newborn form was used to gather data on the baby's characteristics, demographic characteristics of the mother, father, and family, prenatal utilization of services, health behaviors of the mother and father, and parents' decisions about a pediatric provider for their newborn. Parent Forms: 6 Month The 6 month form was used to gather information on selected family demographic characteristics, child's health, parenting practices, and health behaviors of the mother and father. Questions included the frequency of injuries, emergency department visits, and hospitalization in the past 6 months, use of safety devices, activities that promote learning and development, sources of information on speech development, child care arrangements, smoking practices, and mother's receipt of postpartum care. Parent Forms: 12 Month Like the 6 month form, the 12 month form was used to gather information on selected family demographic characteristics, child's health, parenting practices, and health behaviors of the mother and father. Questions included the frequency of injuries, emergency department visits, and hospitalization in the past 12 months, use of safety devices, activities that promote learning and development, sources of information on speech development, child care arrangements, smoking practices, and mother's receipt of postpartum care. Medical Record Abstraction: Vaccinations This file contains demographic and vaccination data, including gender, race/ethnicity, and insurance provider. Medical Record Abstraction: Medical Visits This file contains data abstracted from forms completed for every visit recorded in the medical record or other primary care files, including type visit and whether a physical assessment was conducted. Medical Record Abstraction: Referrals/Consultations These data are limited to information on any referrals or consultations noted in the child's medical record or other primary care files, including type of and reason for the referral. Medical Record Abstraction: Hospitalizations/ED Visits These data are limited to information on any hospitalization, emergency department visit, or urgent care visit recorded in the child's medical record or other primary care files, including the type of and reason for the visit. Healthy Steps Specialist Contact Logs Data contained in this file represent every interaction between Healthy Steps Specialists and the family, including home visits, office visits, telephone calls to or from the family, parent groups, mailings, and other types of contacts, such as hospital visits. Information collected on each contact included the date of contact, type of contact, person contacted, status of the contact, reason for the contact, whether a handout was given out or a referral made during the contact, the issues/ problems discussed during the contact, and any action taken by the Healthy Steps Specialist. Parent Interviews: 2-4 Month The 2-4 month interview included questions about the respondent's knowledge of child development, his/her sense of competence about childrearing, his/her perception of support for childrearing activities from both formal and informal sources, and his/her engagement in activities with the child that promote health, learning, and development. The interview also gathered information on the socio- demographic characteristics of the family, including the mother's and father's education, marital status, employment, income, and household composition. Parent Interviews: 30-33 Month The 30-33 month interview is the source of data on parent and child outcomes and assessed the extent to which families received the Healthy Steps intervention. Specifically, parents were asked about utilization of health-related services and about the child's health and progress in reaching age-appropriate developmental milestones, concerns the parent had about the child's development or behavior, and whether the child was referred to services for a behavior or developmentally-related problem. Additional questions addressed parenting activities that promote development, family routines, engagement in safety activities, the mother's general health status, use of substances, use of mental health services, and use of the child's doctor or her obstetrician/gynecologist as a source for discussing problems with depression and use of preventive health care.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "early childhood services",
        "family support services",
        "public health"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Healthy Steps for Young Children Program National Evaluation, 1996-2001: [United States] - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/4049"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0080",
      "title": "Early Childhood Longitudinal Study [United States]: Kindergarten Class of 1998-1999, Third Grade",
      "description": "The Early Childhood Longitudinal Study, Kindergarten Class of 1998-1999 (ECLS-K) focuses on children's early school experiences beginning with kindergarten through fifth grade. It is a nationally representative sample that collects information from children, their families, their teachers, and their schools. ECLS-K provides data about the effects of a wide range of family, school, community, and individual variables on children's development, early learning, and early performance in school. This data collection contains the wave of data collected in the spring of third grade (2002). The third-grade data collection includes information about the diversity of the study children, the schools they attended, and their academic progress in the years following kindergarten. Other variables include child gender, child race, family background, childcare, childcare arrangements, food security, hours per week in child care, socioeconomic status, household income, highest level of education for parents and students, parents' employment status, teachers' evaluation practice, and usefulness of different activities in the classroom.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Early Childhood Longitudinal Study [United States]: Kindergarten Class of 1998-1999, Third Grade - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/4075"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0081",
      "title": "Carolina Abecedarian Project and the Carolina Approach to Responsive Education (CARE), United States, 1972-1992",
      "description": "The Carolina Abecedarian (ABC) Project and the Carolina Approach to Responsive Education (CARE) projects consist of two consecutive longitudinal studies on the effectiveness of early childhood educational intervention for children at high risk for developmental delays and school failure. Combined, the two studies test the hypothesis that child care, home visit, and home school resource interventions can enhance cognitive and academic outcomes for children at risk for school failure due to factors such as poverty, low maternal IQ, or low parental education. These studies provide the only experimental data regarding the efficacy of child care interventions that began during early infancy and lasted until the child entered kindergarten. In addition, the data allow for tests of the efficacy of intervention during the primary grades. Research hypotheses include: Within this high-risk sample, early cumulative risk will be negatively associated with young adult educational outcomes, employment outcomes, avoidance of teen parenthood, and avoidance of criminal behavior. Early intervention will moderate the effects of risk such that the effects of increased risk would be weaker for those who received the intervention than for those who did not. The early home environment would mediate any found effects for early risk and that early educational intervention would moderate the effects of the early home environment such that the effects of a poor-quality home environment would be weaker for those who received treatment compared to those who did not. Demographic variables included in this collection: gender, age, level of education.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "early childhood services",
        "education",
        "employment",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Carolina Abecedarian Project and the Carolina Approach to Responsive Education (CARE), United States, 1972-1992 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/4091"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0082",
      "title": "Head Start Family and Child Experiences Survey (FACES): 1997 Cohort [United States]",
      "description": "The Head Start Family and Child Experiences Survey (FACES) is an ongoing national longitudinal study of the cognitive, social, emotional, and physical development of Head Start children. It examines the characteristics, well-being, and accomplishments of families, the observed quality of Head Start classrooms, and the characteristics and opinions of Head Start teachers and other program staff. FACES was designed to address four central questions related to program performance objectives: Does Head Start enhance children's development and school readiness? Does Head Start strengthen families as the primary nurturers of their children? Does Head Start provide children with high quality educational, health, and nutritional services? How is classroom quality related to child outcomes? The FACES 1997 Cohort involved a nationally representative sample of children and families in Head Start programs in the United States who were studied at entry into the program in the fall of 1997, assessed in the spring at the completion of one or two years of Head Start, and followed up in the spring of the kindergarten and first grade years. During these visits, the research team completed individual interviews with staff and parents, child and classroom observations, direct child assessments through one-on-one interviews, and indirect assessments of children by their teachers and parents. The data collection instruments used in FACES were designed to measure several different types of skills, accomplishments, and behaviors that are relevant to a child's school readiness and social competence: The parent interview was designed to collect up-to-date information about current Head Start families while being sensitive to differences based on the background of the respondents. The interview provided descriptive information about the parents (education, work status, health, nativity, depression, social support, use of discipline and rules, exposure to violence), the household (income, housing, activities with children, use of child care), and the children (gender, ethnicity, health, behavior, literacy skills, disabilities, exposure to violence). Additionally, parents reported how their families came to Head Start and how they perceived their Head Start experiences. The staff interview was designed to provide a profile of the background, qualifications, and training of Head start personnel as well as an understanding of classroom activities, family activities, services, local programs offered to families, and staff perspectives on their programs and the families they served. The child and classroom observations were designed to record information from the observations of children's behavior and home environments. Some of the assessments used included Peabody Picture Vocabulary Tests (PPVTs), Woodcock-Johnson Revised Tests of Achievement, Norm Referenced Cognitive Tests, Story and Print Concepts, and McCarthy Scales of Children's Abilities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education",
        "family support services",
        "public health"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Head Start Family and Child Experiences Survey (FACES): 1997 Cohort [United States] - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/4134"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0083",
      "title": "Head Start Family and Child Experiences Survey (FACES): 2000 Cohort [United States]",
      "description": "The Head Start Family and Child Experiences Survey (FACES) is an ongoing national longitudinal study of the cognitive, social, emotional, and physical development of Head Start children. It examines the characteristics, well-being, and accomplishments of families, the observed quality of Head Start classrooms, and the characteristics and opinions of Head Start teachers and other program staff. FACES was designed to address four central questions related to program performance objectives: Does Head Start enhance children's development and school readiness? Does Head Start strengthen families as the primary nurturers of their children? Does head Start provide children with high quality educational, health, and nutritional services? How is classroom quality related to child outcomes? The FACES 2000 Cohort involved a nationally representative sample of children and families in Head Start programs in the United States who were studied at entry into the program in the fall of 2000, assessed at the completion of one or two years of program experience, and followed up in the spring of the kindergarten year. The FACES 2000-2003 battery has four main components: the child assessment, parent interview, teacher and staff interviews, and classroom observations. The child assessments included the major components of school readiness, and were collected through direct child assessments and rating scales completed by parents and teachers. Direct child assessments included the Peabody Picture Vocabulary Test Third Edition-Revised (PPVT-III), Woodcock-Johnson Psycho-Educational Battery-Revised, McCarthy Scales of Children's Abilities, story and print concepts, social awareness, color names and one-to-one counting, Leiter International Performance Scale-Revised, interview ratings, and follow-up Early Childhood Longitudinal Study-Kindergarten (ECLS-K) measures. The parent interview was designed to provide Head Start with a comprehensive understanding of the families that they serve, including the characteristics of households and household members, levels and types of participation in the program and in other community services, involvement with their children, and an understanding of their children's development. In addition to this, parents were asked to rate each child on a set of behaviors that assessed the child's basic social skills and behavior problems. The teacher and staff interview was designed to provide information on Head Start personnel experience, education, and training as well as knowledge and beliefs about child development, and educational activities with children and parents. The classroom observations were designed to measure peer interactions, friendships of children, and the extent to which Head Start programs employed skilled teachers and provided developmentally appropriate environments and curricula for their children. Some of the assessments used included the Assessment Profile, Early Childhood Environment Rating Scale-Revised (ECERS-R), classroom observation of teacher-directed activities, and the Arnett Caregiver Interaction Scale.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education",
        "family support services",
        "public health"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Head Start Family and Child Experiences Survey (FACES): 2000 Cohort [United States] - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/4149"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0084",
      "title": "Partnership Impact Research Project, 2001-2004 [United States]",
      "description": "The Partnership Impact Research Project is a three-year study designed to assess the nature of early education partnerships among Head Start, pre-kindergarten (pre-k), child care, and early care and education programs and their influence on child care quality and access to services. The project analyzes qualitative data in an existing database that was collected by the Quality in Linking Together (QUILT) Early Education Partnerships initiative. The QUILT database was designed to provide training and technical assistance in the development and sustainment of partnerships to professionals across the nation, including early care and education providers and state leaders. It is divided into two sections: state-level and local provider-level information. Both sections contain narratives, factual data, and documents. Additionally, the project collected new quantitative and qualitative data from randomly selected child care and Head Start providers in Ohio to study the influence of partnerships on the quality of and access to services. The Partnership Impact Research Project explored questions about partnerships and their impact on child care and parents while attempting to determine whether state actions could influence both the development of provider-level partnerships and the processes partnerships engage in to sustain their work. Specifically, the study was designed to address the following objectives: Conduct a qualitative analysis of data in an existing database to assess the nature of partnerships and state actions to support partnerships. Conduct a longitudinal study that uses a quasi-experimental design and involves original data collection at three points in time to learn about the impact of partnerships on child care center quality, child care classroom quality, and accessibility of services for parents. Develop detailed reports and research briefs, tailored to specific audiences such as legislators, administrators, and providers, that translate research findings into practical information that addresses questions frequently asked about child care partnerships. Disseminate research reports and briefs through established networks of policy makers and practitioners, using their organizations' Web sites and publications. The six datasets associated with this data collection are summarized below: Child Care Center Data -- contains information on a variety of aspects about a child care center from the director's point of view with many focused questions aimed at the preschool population and an overview of the child care center as a whole. This dataset provides information about the population being served, services provided, teacher ratios, teacher training and education, annual budgets, funding sources, and other major aspects of a child care center in order to achieve an understanding of quality. Child Care Center Partnership Data -- contains information about the child care partnership with the Head Start Agency that provides their services. There are five sections: funding sources, origins of the partnership, resources, nature of the partnership, and benefits/challenges. Information about how the partnership began, what the centers' role is, what services are provided, and a variety of general questions that inform others about the nature of the partnership are available in this dataset. Head Start Background Data -- contains background information about a Head Start Agency that partners with child care centers and other information related to budget, funding sources, number of children served, and Head Start program organization. Head Start Partnership Data -- a companion to the Head Start Background data, this dataset contains information about the specific partnership with each child care center the agency is involved with. There are four sections: background information, teacher training/professional development, services, and director information. Additionally, information on how the partnership began, what the agency's role is, what services are provided, and other general questions about the partnership is available. Parent Data -- contains information on parents' views of the child care center that their preschooler attends. This dataset provides information about the population being served including home/school connection, how a parent views the classroom and the care being provided by the center, and the services available to both the child and parent through the center. Teacher Data -- contains information about teachers' views of the child care center where they are employed. This dataset provides information about the population being served, services provided, teacher ratios, teacher training and education, and teacher experience in order to achieve an understanding of quality.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child care and assistance",
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Partnership Impact Research Project, 2001-2004 [United States] - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/4298"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0085",
      "title": "Early Childhood Longitudinal Study [United States]: Kindergarten Class of 1998-1999, Fifth Grade",
      "description": "The Early Childhood Longitudinal Study, Kindergarten Class of 1998-1999 (ECLS-K) focuses on children's early school experiences beginning with kindergarten through fifth grade. It is a nationally representative sample that collects information from children, their families, their teachers, and their schools. ECLS-K provides data about the effects of a wide range of family, school, community, and individual variables on children's cognitive, social, emotional, and physical development, their early learning and early performance in school, as well as their home environment, home educational practices, school environment, classroom environment, classroom curriculum, and teacher qualifications. With a few exceptions, the fifth grade data file contains all data collected from parents, children, teachers, or schools in the base year (fall and spring), first grade (fall and spring), third grade (spring), and fifth grade (spring) data collections. To streamline the file, however, the data from the household rosters that listed all household members, their relationship to the sampled child, and selected other characteristics are not included in the file. The composite variables describing critical household roster-based information, such as the children's family structure and selected characteristics of the family members, have been retained on the file. Specific subjects covered by the variables in this data file include parent/child gender, parent/child race, family background, socioeconomic status, household income, parents' education level, and parents' employment and marital status. Other variables include type of childcare and childcare arrangements, the child's math, science, and reading scores, the child's learning problems and autism, as well as the child's diet issues, food security, and school food service. Variables about teachers include age, race, background, qualifications, job satisfaction, their level of impact on curriculum and policy, and time spent on classroom activities and specific subjects. Other variables include diversity of classroom students, parent-teacher discussions, family participation in school events and fundraising, whether the child's school has bars on the windows and doors, fire alarms, sprinklers, and fire extinguishers, the presence of school graffiti, as well as bus/transportation issues.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "early childhood services",
        "education"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Early Childhood Longitudinal Study [United States]: Kindergarten Class of 1998-1999, Fifth Grade - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/4440"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0086",
      "title": "National Household Education Survey, 2005",
      "description": "The National Household Education Survey (NHES) reports on the condition of education in the United States by collecting data at the household level rather than using a traditional, school-based data collection system. The surveys attempt to address many current issues in education, such as preprimary education, school safety and discipline, adult education, and activities related to citizenship. This survey included three topical survey components. The Early Childhood Program Participation Survey addressed the nonparental care and program participation of preschool children, that is, children from birth through age six and not yet enrolled in kindergarten or higher grades. The survey collected information on all of the child's current, regular care arrangements, such as care by a relative or by someone not related to the child, in a private home as well as at a day care center or preschool, including Head Start. Information was collected about the number of hours per week or per month that the child received nonparental care, as well as parental perceptions of the factors associated with choosing such care. Other information was collected on topics such as educational activities at home, emerging literacy and numeracy, the child's characteristics (including health and disability status), and parent/guardian and household characteristics. Interviews were completed with parents of 7,209 preschool children. The After-School Programs and Activities Survey focused on children enrolled in kindergarten through eighth grade who were aged 15 years or younger. Parents reported on the after-school arrangements in which their children participated, including care by relatives or nonrelatives in a private home, after-school programs in schools or centers, activities that might provide adult supervision in the after-school hours, and children's self-care. Other information includes reasons for choosing parental care, the child's characteristics (including health and disability status), and parent/guardian and household characteristics. Interviews were conducted with the parents of 11,684 students. The Adult Education Survey measured participation in the following types of formal educational activities: English as a Second Language (ESL), basic skills and General Education Development (GED) preparation courses, college or university degree or certificate programs, vocational or technical diploma programs, apprenticeship programs, courses or training for work-related reasons, and personal-interest classes or courses. In addition, information was collected on participation in informal learning activities for personal interest. The survey also gathered information on employer support for educational activities. Detailed information about educational attainment, employment, and household characteristics was also collected from both participants and nonparticipants. Adults aged 16 and older who were not enrolled in twelfth grade or below, who were noninstitutionalized, and who were not serving on active military duty were eligible for this survey. Interviews were completed with 8,904 respondents, 4,732 of whom had participated in formal educational activities in the past year and 4,172 of whom had not.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "early childhood services",
        "education",
        "employment"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Household Education Survey, 2005 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/4599"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0087",
      "title": "National Head Start/Public School Early Childhood Transition Demonstration Study, 1991-1999",
      "description": "In 1990, the United States Congress authorized a major program designed to enhance the early public school transitions of former Head Start children and their families. Former Head Start children, like many other children living in poverty, were at risk for poor school achievement. This new program was launched to test the value of extending comprehensive, Head Start-like supports \"upward\" through the first four years of elementary school. This project, administered by the Head Start Bureau of the Administration on Children, Youth, and Families, funded 31 local Transition Demonstration Programs in 30 states and the Navajo Nation from the 1991-1992 school year through the 1997-1998 school year and involved more than 450 public schools. The National Transition Demonstration Study was conducted to provide information about the implementation of this program and its impact on children, families, schools, and communities. More than 7,500 former Head Start children and families were enrolled in the National Study. Thousands of other children and families, however, participated in the Transition Demonstration Program, since supports and educational enhancements were offered to all children and families in the classrooms. The datasets are organized into four broad categories: Family Units -- There are six family unit files. A \"family unit\" record consists of information about a child or family as the result of source data taken from family interviews, records of child test scores on a child instrument, school archival records, or teacher questionnaires (Part B). If data were available from any combination of these source documents, a family unit record was generated. A broad range of variables are included under this heading. Variables range from simple demographics to standardized scores of social skill ratings as well as neighborhood factor scores and child outcome scores in reading and mathematics. These files are associated with each year of the child's schooling (kindergarten through third grade). School Unit -- There are five school unit files, organized around the year of data collection. A \"school unit\" record consists of information about a school as the result of source data captured from family interviews, a classroom teacher, or the school principal. The structure of this data file is different from others in that rather than being merged on a common key, the records are actually stacked one upon the other in groups. The first part of the file consists of family data, the middle portion consists of teacher data, and the final portion consists of principal data. A key variable to the construction of this dataset is the REC_SRC (record source) variable. It informs the user as to the source of the data in the record. The abbreviations are \"fi,\" \"ta,\" and \"qp\" for family interview, teacher questionnaire (Part A), and questionnaire for principals, respectively. The data viewed as the centerpiece of these datasets are the school climate survey variables and their associated factor scores. Classroom Unit -- There are five classroom unit files organized around the year of data collection. The data recorded focus on the classroom and are from the following sources: classroom composition, assessment profile, a developmentally appropriate practice template, and a teacher questionnaire (part a). Some of the data available address the social skills the teacher views as important to his or her particular classroom. Variables addressing diversity of both gender and ethnicity within a single classroom are included when available. Exit Interviews -- There are five Exit Interviews. Exit information was collected from the following groups: experimental and control families, family service specialists, school principals, and classroom teachers. These exit interviews were conducted upon exit from the third grade, and have been combined for both cohorts. Community Characteristics Data -- The community characteristics dataset is a hierarchical file having four distinct levels of data. The type of information available in this file may include data that describe the site, county, school district, or study school. Users of these data are strongly encouraged to consult the accompanying documentation before attempting to use these files.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "early childhood services",
        "education",
        "family support services",
        "public health"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Head Start/Public School Early Childhood Transition Demonstration Study, 1991-1999 - Landing Page",
        "accessURL": "https://www.childandfamilydataarchive.org/cfda/pages/cfda/data.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/4712"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0088",
      "title": "The Pathways Clearinghouse study-level data",
      "description": "This dataset contains study-level data from the Pathways to Work Evidence Clearinghouse. Each row represents one reviewed study and includes descriptive information on the study, services provided in the program and comparison groups, study design, outcome domains examined, sample characteristics, populations and employment barriers, settings, funding, study timing, and program and comparison conditions. It does not include individual findings or impacts.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "education",
        "employment",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "international"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The Pathways Clearinghouse study-level data - Landing Page",
        "accessURL": "https://pathwaystowork.acf.gov/download-pathways-clearinghouse-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://pathwaystowork.acf.gov/download-pathways-clearinghouse-data",
          "downloadURL": "https://pathwaystowork.acf.gov/sites/default/files/2023-12/pathways-study-export_1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0089",
      "title": "The Pathways Clearinghouse study outcome-level data",
      "description": "This dataset contains study outcome-level data from the Pathways to Work Evidence Clearinghouse. Each row represents one finding or impact from a reviewed study with a high or moderate study quality rating. It describes impacts on earnings, employment, public benefit receipt, and education and training outcomes, including outcome domains, measures, follow-up timing, data sources, sample units, effect sizes, p-values, ratings, and rating rationales.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "education",
        "employment",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "international"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The Pathways Clearinghouse study outcome-level data - Landing Page",
        "accessURL": "https://pathwaystowork.acf.gov/download-pathways-clearinghouse-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://pathwaystowork.acf.gov/download-pathways-clearinghouse-data",
          "downloadURL": "https://pathwaystowork.acf.gov/sites/default/files/2023-08/pathways-study-outcome-export.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0090",
      "title": "The Pathways Clearinghouse intervention-level data",
      "description": "This dataset contains program-level data from the Pathways to Work Evidence Clearinghouse, aggregated from individual studies of each program. It includes a Programs tab with program descriptions, evaluation start year, outcome domains, effectiveness ratings, populations targeted, services, settings, locations, and race/ethnicity percentages, and a Program Outcomes tab with domain-level effectiveness ratings, average effect sizes, and sample sizes.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
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      ],
      "publisher": {
        "@type": "Organization",
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          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
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        ]
      },
      "accessRights": "public",
      "keyword": [
        "education",
        "employment",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "international"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The Pathways Clearinghouse intervention-level data - Landing Page",
        "accessURL": "https://pathwaystowork.acf.gov/download-pathways-clearinghouse-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://pathwaystowork.acf.gov/download-pathways-clearinghouse-data",
          "downloadURL": "https://pathwaystowork.acf.gov/sites/default/files/2023-08/pathways-intervention-export.xlsx",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0091",
      "title": "Home Visiting Evidence of Effectiveness (HomVEE) Research Manuscript Database",
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      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
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          {
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            "name": "Administration for Children and Families (ACF)"
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      },
      "accessRights": "public",
      "keyword": [
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Home Visiting Evidence of Effectiveness (HomVEE) Research Manuscript Database - Landing Page",
        "accessURL": "https://homvee.acf.gov/studies"
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      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://homvee.acf.gov/studies",
          "downloadURL": "https://homvee.acf.gov/studies/export?page&_format=xlsx",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0092",
      "title": "Promising Occupations Achievable Through Short-term Education or Training for Low-Income Families,  Promising Occupations By State - Tables",
      "description": "This dataset contains state-level tables identifying promising occupations expected to grow through 2022 that can be entered after relatively short-term training. The Excel workbook includes separate sheets for the United States, all 50 states, the District of Columbia, and Puerto Rico, with occupation, education and training required, average annual openings, growth rate, and 25th, median, and 75th percentile income.",
      "contactPoint": [
        {
          "@type": "Kind",
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          {
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      },
      "accessRights": "public",
      "keyword": [
        "education",
        "employment"
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      "theme": [
        {
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          "prefLabel": "human services"
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      ],
      "spatial": [
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          "@type": "Location",
          "prefLabel": "united states"
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      ],
      "landingPage": {
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      },
      "distribution": [
        {
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          "accessURL": "https://acf.gov/opre/report/promising-occupations-achievable-through-short-term-education-or-training-low-income",
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          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0093",
      "title": "Welfare Rules Databook Tables (2023)",
      "description": "This dataset contains annual Welfare Rules Databook reports and tables that highlight states’ and territories’ TANF policies as of July 1 of each year. The Databooks provide context about the TANF program for 1999 through 2023, covering state and territory cash-assistance rules and policy details across time.",
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        {
          "@type": "Kind",
          "fn": "OPRE Hub",
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      "accessRights": "public",
      "keyword": [
        "employment",
        "financial assistance"
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      "theme": [
        {
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          "prefLabel": "human services"
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          "prefLabel": "united states"
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      "landingPage": {
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      "distribution": [
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0094",
      "title": "Welfare Rules Databook Tables (2022)",
      "description": "This dataset contains annual Welfare Rules Databook reports and tables that highlight states’ and territories’ TANF policies as of July 1 of each year. The Databooks provide context about the TANF program for 1999 through 2023, covering state and territory cash-assistance rules and policy details across time.",
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        {
          "@type": "Kind",
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      "accessRights": "public",
      "keyword": [
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        "financial assistance"
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          "prefLabel": "human services"
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          "prefLabel": "united states"
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      "distribution": [
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0095",
      "title": "Welfare Rules Databook Tables (2021)",
      "description": "This dataset contains annual Welfare Rules Databook reports and tables that highlight states’ and territories’ TANF policies as of July 1 of each year. The Databooks provide context about the TANF program for 1999 through 2023, covering state and territory cash-assistance rules and policy details across time.",
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        {
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      },
      "accessRights": "public",
      "keyword": [
        "employment",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Welfare Rules Databook Tables (2021) - Landing Page",
        "accessURL": "https://wrd.urban.org/welfare-rules-databook"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://wrd.urban.org/welfare-rules-databook",
          "downloadURL": "https://wrd.urban.org/sites/default/files/documents/2023-09/2021%20Welfare%20Rules%20Databook%20Tables%20%28final%206%2029%202023%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0096",
      "title": "Welfare Rules Databook Tables (2020)",
      "description": "This dataset contains annual Welfare Rules Databook reports and tables that highlight states’ and territories’ TANF policies as of July 1 of each year. The Databooks provide context about the TANF program for 1999 through 2023, covering state and territory cash-assistance rules and policy details across time.",
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        {
          "@type": "Kind",
          "fn": "OPRE Hub",
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      ],
      "publisher": {
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        ]
      },
      "accessRights": "public",
      "keyword": [
        "employment",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
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          "prefLabel": "united states"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Welfare Rules Databook Tables (2020) - Landing Page",
        "accessURL": "https://wrd.urban.org/welfare-rules-databook"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://wrd.urban.org/welfare-rules-databook",
          "downloadURL": "https://wrd.urban.org/sites/default/files/documents/2023-09/2020%20Welfare%20Rules%20Databook%20Tables%20%28final%2002%2004%202022%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0097",
      "title": "Welfare Rules Databook Tables (2019)",
      "description": "This dataset contains annual Welfare Rules Databook reports and tables that highlight states’ and territories’ TANF policies as of July 1 of each year. The Databooks provide context about the TANF program for 1999 through 2023, covering state and territory cash-assistance rules and policy details across time.",
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      },
      "accessRights": "public",
      "keyword": [
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        "financial assistance"
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      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
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          "prefLabel": "united states"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Welfare Rules Databook Tables (2019) - Landing Page",
        "accessURL": "https://wrd.urban.org/welfare-rules-databook"
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      "distribution": [
        {
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          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0098",
      "title": "Welfare Rules Databook Tables (2018)",
      "description": "This dataset contains annual Welfare Rules Databook reports and tables that highlight states’ and territories’ TANF policies as of July 1 of each year. The Databooks provide context about the TANF program for 1999 through 2023, covering state and territory cash-assistance rules and policy details across time.",
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        {
          "@type": "Kind",
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      ],
      "publisher": {
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        ]
      },
      "accessRights": "public",
      "keyword": [
        "employment",
        "financial assistance"
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      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
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          "prefLabel": "united states"
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      ],
      "landingPage": {
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        "title": "Welfare Rules Databook Tables (2018) - Landing Page",
        "accessURL": "https://wrd.urban.org/welfare-rules-databook"
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      "distribution": [
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0099",
      "title": "Welfare Rules Databook Tables (2017)",
      "description": "This dataset contains annual Welfare Rules Databook reports and tables that highlight states’ and territories’ TANF policies as of July 1 of each year. The Databooks provide context about the TANF program for 1999 through 2023, covering state and territory cash-assistance rules and policy details across time.",
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        {
          "@type": "Kind",
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      ],
      "publisher": {
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        "subOrganizationOf": [
          {
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        ]
      },
      "accessRights": "public",
      "keyword": [
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        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
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          "prefLabel": "united states"
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      ],
      "landingPage": {
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        "title": "Welfare Rules Databook Tables (2017) - Landing Page",
        "accessURL": "https://wrd.urban.org/welfare-rules-databook"
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0100",
      "title": "Welfare Rules Databook Tables (2016)",
      "description": "This dataset contains annual Welfare Rules Databook reports and tables that highlight states’ and territories’ TANF policies as of July 1 of each year. The Databooks provide context about the TANF program for 1999 through 2023, covering state and territory cash-assistance rules and policy details across time.",
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        {
          "@type": "Kind",
          "fn": "OPRE Hub",
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      ],
      "publisher": {
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          {
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        ]
      },
      "accessRights": "public",
      "keyword": [
        "employment",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Welfare Rules Databook Tables (2016) - Landing Page",
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      },
      "distribution": [
        {
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          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0101",
      "title": "Welfare Rules Databook Tables (2015)",
      "description": "This dataset contains annual Welfare Rules Databook reports and tables that highlight states’ and territories’ TANF policies as of July 1 of each year. The Databooks provide context about the TANF program for 1999 through 2023, covering state and territory cash-assistance rules and policy details across time.",
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          "@type": "Kind",
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      ],
      "publisher": {
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          }
        ]
      },
      "accessRights": "public",
      "keyword": [
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        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
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      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
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      ],
      "landingPage": {
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        "title": "Welfare Rules Databook Tables (2015) - Landing Page",
        "accessURL": "https://wrd.urban.org/welfare-rules-databook"
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      "distribution": [
        {
          "@type": "Distribution",
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          "downloadURL": "https://wrd.urban.org/sites/default/files/documents/2023-09/2015%20Welfare%20Rules%20Databook%20Tables%20%28final%20with%20cover%20page%20for%20website%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0102",
      "title": "Welfare Rules Databook Tables (2014)",
      "description": "This dataset contains annual Welfare Rules Databook reports and tables that highlight states’ and territories’ TANF policies as of July 1 of each year. The Databooks provide context about the TANF program for 1999 through 2023, covering state and territory cash-assistance rules and policy details across time.",
      "contactPoint": [
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          "@type": "Kind",
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      ],
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        "@type": "Organization",
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          {
            "@type": "Organization",
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          }
        ]
      },
      "accessRights": "public",
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          "mediaType": "application/vnd.ms-excel",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0116",
      "title": "Welfare Rules Databook Tables (2000)",
      "description": "This dataset contains annual Welfare Rules Databook reports and tables that highlight states’ and territories’ TANF policies as of July 1 of each year. The Databooks provide context about the TANF program for 1999 through 2023, covering state and territory cash-assistance rules and policy details across time.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "employment",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Welfare Rules Databook Tables (2000) - Landing Page",
        "accessURL": "https://wrd.urban.org/welfare-rules-databook"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://wrd.urban.org/welfare-rules-databook",
          "downloadURL": "https://wrd.urban.org/sites/default/files/documents/2023-09/2000databook.xls",
          "mediaType": "application/vnd.ms-excel",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0117",
      "title": "Welfare Rules Databook Tables (1999)",
      "description": "This dataset contains annual Welfare Rules Databook reports and tables that highlight states’ and territories’ TANF policies as of July 1 of each year. The Databooks provide context about the TANF program for 1999 through 2023, covering state and territory cash-assistance rules and policy details across time.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "employment",
        "financial assistance"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Welfare Rules Databook Tables (1999) - Landing Page",
        "accessURL": "https://wrd.urban.org/welfare-rules-databook"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://wrd.urban.org/welfare-rules-databook",
          "downloadURL": "https://wrd.urban.org/sites/default/files/documents/2023-09/FinalPublishedTables-99.xls",
          "mediaType": "application/vnd.ms-excel",
          "format": "Excel"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0120",
      "title": "The National Survey of Child and Adolescent Well-Being III (NSCAW III) Child Welfare Workforce Study",
      "description": "The Child Welfare Workforce Study was conducted as part of the third cohort of the National Survey of Child and Adolescent Well-Being (NSCAW III). The study explores characteristics and activities of the child welfare workforce from 2021-2022, during the COVID-19 pandemic, participating in NSCAW III. This study sought to better understand four topic areas relevant to the child welfare system (CWS) context: workforce characteristics and competencies; recruitment, hiring, and onboarding; training and professional development; and organizational factors. The study collected information from 48 agency directors, 126 supervisors, and 183 caseworkers during the follow-up wave of NSCAW III from January 2021 to June 2022. The study sample is intended to be representative of public child welfare agencies that were able to participate in NSCAW III. Due to state confidentiality statutes and agency refusals, the sample is representative of about 74% of child welfare agencies/agency directors, 77% of child welfare supervisors, and 82% of caseworkers in the United States. Unique but complementary surveys were created for agency directors, supervisors, and caseworkers. Surveys included a mix of project-developed items and standardized scales. Documentation for the agency director, supervisor, and caseworker datasets includes (1) a codebook for each dataset that includes a listing of the variables in the dataset, brief descriptions of the variables, variable names, variable labels, response categories, value ranges for continuous variables, and frequency distributions for categorical variables; and (2) a users' guide that explains the background, purpose, and design of the study; the data de-identification procedures; the data limitations (e.g., missing data and tracking children who have moved to different states); derived variables; and analytical considerations.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The National Survey of Child and Adolescent Well-Being III (NSCAW III) Child Welfare Workforce Study - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-nscaw.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=288"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0121",
      "title": "The National Survey on Child and Adolescent Well-Being II (NSCAW II) General Release, Waves 1-3",
      "description": "The second National Survey of Child and Adolescent Well-Being (NSCAW II) is a longitudinal study intended to answer a range of fundamental questions about the well-being, functioning, service needs, and service use of children who come in contact with the child welfare system. The study is sponsored by the Administration for Children and Families (ACF), U.S. Department of Health and Human Services (DHHS). It examines the well-being of children involved with child welfare agencies; captures information about their families; provides information about child welfare interventions and other services; and describes key characteristics of child development. Of particular interest to the study are children's health, mental health, and developmental risks, especially for those children who experienced the most severe abuse and exposure to violence. The NSCAW II study design essentially mirrors that of NSCAW I. The NSCAW II cohort includes 5,872 children, aged birth to 17.5 years old, who had contact with the child welfare system within a 15-month period that began in February 2008. Children were sampled from investigations closed during the reference period. The cohort of 5,872 children was selected from 81 of the original NSCAW 92 Primary Sampling Units (PSUs) in 83 counties in 30 states that agreed to participate in NSCAW II. Retaining most of the NSCAW I PSUs will allow researchers to assess the change in context from the late 1990s and enable longitudinal analysis of organizational measures such as staff turnover, climate, and work environment. The sample of investigated/assessed cases includes both cases that receive ongoing services and cases that are not receiving services, either because they were not substantiated or because it was determined that services were not required. The sample design—with oversampling of infants and children in out-of-home placement and undersampling of cases not receiving services to ensure appropriate representation among subgroups—allows in-depth analysis of subgroups of special interest (e.g., young children, adolescents in foster care) while providing national estimates for the full population of children and families entering the system. Like NSCAW I, NSCAW II is a longitudinal study with multiple informants associated with each sampled child to get the fullest possible depiction of that child. Face-to-face interviews or assessments were conducted with children, parents, and nonparent adult caregivers (e.g., foster parents, kin caregivers, and group home caregivers), and investigative caseworkers. Baseline data collection began in March 2008 and was completed in September 2009. The second wave of the study, 18 months after the close of the NSCAW II index investigation, began in October 2009 and was completed in January 2011. At Wave 3, children and families were reinterviewed approximately 36 months after the close of the NSCAW II index investigation. The NSCAW II cohort of children who were approximately 2 months to 17.5 years old at baseline ranged in age from 34 months to 20 years old at Wave 3. Data collection for the third wave of the study began in June 2011 and was completed in December 2012.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The National Survey on Child and Adolescent Well-Being II (NSCAW II) General Release, Waves 1-3 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-nscaw.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=173"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0122",
      "title": "The National Survey on Child and Adolescent Well-Being II (NSCAW II) Restricted Release, Waves 1-3",
      "description": "The second National Survey of Child and Adolescent Well-Being (NSCAW II) is a longitudinal study intended to answer a range of fundamental questions about the well-being, functioning, service needs, and service use of children who come in contact with the child welfare system. The study is sponsored by the Administration for Children and Families (ACF), U.S. Department of Health and Human Services (DHHS). It examines the well-being of children involved with child welfare agencies; captures information about their families; provides information about child welfare interventions and other services; and describes key characteristics of child development. Of particular interest to the study are children's health, mental health, and developmental risks, especially for those children who experienced the most severe abuse and exposure to violence. The NSCAW II study design essentially mirrors that of NSCAW I. The NSCAW II cohort includes 5,872 children, aged birth to 17.5 years old, who had contact with the child welfare system within a 15-month period that began in February 2008. Children were sampled from investigations closed during the reference period. The cohort of 5,872 children was selected from 81 of the original NSCAW 92 Primary Sampling Units (PSUs) in 83 counties in 30 states that agreed to participate in NSCAW II. Retaining most of the NSCAW I PSUs allows researchers to assess the change in context from the late 1990s and enables longitudinal analysis of organizational measures such as staff turnover, climate, and work environment. The sample of investigated or assessed cases includes both cases that receive ongoing services and cases that are not receiving services, either because they were not substantiated or because it was determined that services were not required. The sample design, with oversampling of infants and children in out-of-home placement and undersampling of cases not receiving services to ensure appropriate representation among subgroups, allows in-depth analysis of subgroups of special interest (e.g., young children and adolescents in foster care) while providing national estimates for the full population of children and families entering the system. Like NSCAW I, NSCAW II is a longitudinal study with multiple informants associated with each sampled child to provide the fullest possible depiction of that child. Face-to-face interviews or assessments were conducted with children, parents, and nonparent adult caregivers (e.g., foster parents, kin caregivers, and group home caregivers), and investigative caseworkers. Baseline data collection began in March 2008 and was completed in September 2009. The second wave of the study, 18 months after the close of the NSCAW II index investigation, began in October 2009 and was completed in January 2011. At Wave 3, children and families were reinterviewed approximately 36 months after the close of the NSCAW II index investigation. The NSCAW II cohort of children who were approximately 2 months to 17.5 years old at baseline ranged in age from 34 months to 20 years old at Wave 3. Data collection for the third wave of the study began in June 2011 and was completed in December 2012. NDACAN's dedicated NSCAW User Support page contains a video and several documents to assist researchers with these data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The National Survey on Child and Adolescent Well-Being II (NSCAW II) Restricted Release, Waves 1-3 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-nscaw.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=172"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0123",
      "title": "The National Survey on Child and Adolescent Well-Being III (NSCAW III) General Release, Waves 1-2",
      "description": "The third National Survey of Child and Adolescent Well-Being (NSCAW III) is a longitudinal study intended to answer a range of fundamental questions about the well-being, functioning, service needs, and service use of children who come in contact with the child welfare system. The study is sponsored by the Administration for Children and Families (ACF), U.S. Department of Health and Human Services (DHHS). It examines the well-being of children involved with child welfare agencies; captures information about their families; provides information about child welfare interventions and other services; and describes key characteristics of child development. Of particular interest to the study are children's health, mental health, and developmental risks, especially for those children who experienced the most severe abuse and exposure to violence. NSCAW III includes 3,298 children ranging in age from 0 to 17.5 years old at the time of sampling. Children were sampled from child welfare investigations closed between July 2017 and September 2021 in 61 counties in 17 states. NSCAW III baseline data collection began in November 2017 and was completed in March 2022. Due to the in-person nature of data collection, baseline field work was on hold due to the COVID-19 pandemic from March 2020 until May 2021. An in-person Wave 2 follow-up of respondents who completed the baseline wave began in the fall of 2019 and was paused in February 2020 due to COVID-19. Shortened instruments were developed to allow for remote interview administration via telephone and online. Remote data collection for Wave 2 began in December 2021 and was completed in February 2024. The NSCAW III data collection includes children who were the subject of a child protective services report (as was the case in NSCAW I and II); however, sampling was expanded to also include children coming into the child welfare system (CWS) through alternative pathways, such as the juvenile court system or child trafficking. A major objective of NSCAW III is to maintain the design strengths of the previous two NSCAW cohorts while also reflecting the current child welfare population and the evolving policy and practice dynamics. For these purposes, several aspects of the two prior NSCAW cohorts were preserved in NSCAW III. However, unlike NSCAW II, which reused the NSCAW I Primary Sampling Units (PSUs), NSCAW III selected a somewhat independent sample of PSUs, although a sampling process was used that maximized the probability that NSCAW I/II sample PSUs were re-selected. The sample of investigated/assessed cases includes both cases that receive ongoing services and cases that are not receiving services, either because they were not substantiated or because it was determined that services were not required. The sample design—with oversampling of children aged 12 to 17.5 who are more likely to enter and remain in out-of-home placements, and expansion to include children who enter child welfare system custody without a maltreatment investigation—allows in-depth analysis of subgroups of special interest while providing national estimates for the full population of children and families entering the system.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The National Survey on Child and Adolescent Well-Being III (NSCAW III) General Release, Waves 1-2 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-nscaw.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=291"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0124",
      "title": "The National Survey on Child and Adolescent Well-Being III (NSCAW III) Restricted Release, Waves 1-2",
      "description": "The third National Survey of Child and Adolescent Well-Being (NSCAW III) is a longitudinal study intended to answer a range of fundamental questions about the well-being, functioning, service needs, and service use of children who come in contact with the child welfare system. The study is sponsored by the Administration for Children and Families (ACF), U.S. Department of Health and Human Services (DHHS). It examines the well-being of children involved with child welfare agencies; captures information about their families; provides information about child welfare interventions and other services; and describes key characteristics of child development. Of particular interest to the study are children's health, mental health, and developmental risks, especially for those children who experienced the most severe abuse and exposure to violence. NSCAW III includes 3,298 children ranging in age from 0 to 17.5 years old at the time of sampling. Children were sampled from child welfare investigations closed between July 2017 and September 2021 in 61 counties in 17 states. NSCAW III baseline data collection began in November 2017 and was completed in March 2022. Due to the in-person nature of data collection, baseline field work was on hold due to the COVID-19 pandemic from March 2020 until May 2021. The NSCAW III data collection includes children who were the subject of a child protective services report (as was the case in NSCAW I and II); however, sampling was expanded to also include children coming into the child welfare system (CWS) through alternative pathways, such as the juvenile court system or child trafficking. A major objective of NSCAW III is to maintain the design strengths of the previous two NSCAW cohorts while also reflecting the current child welfare population and the evolving policy and practice dynamics. For these purposes, several aspects of the two prior NSCAW cohorts were preserved in NSCAW III. However, unlike NSCAW II, which reused the NSCAW I Primary Sampling Units (PSUs), NSCAW III selected a somewhat independent sample of PSUs, although a sampling process was used that maximized the probability that NSCAW I/II sample PSUs were re-selected. The sample of investigated/assessed cases includes both cases that receive ongoing services and cases that are not receiving services, either because they were not substantiated or because it was determined that services were not required. The sample design—with oversampling of children aged 12 to 17.5 who are more likely to enter and remain in out-of-home placements, and expansion to include children who enter child welfare system custody without a maltreatment investigation—allows in-depth analysis of subgroups of special interest while providing national estimates for the full population of children and families entering the system.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The National Survey on Child and Adolescent Well-Being III (NSCAW III) Restricted Release, Waves 1-2 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-nscaw.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=273"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0125",
      "title": "State Child Abuse and Neglect (SCAN) Policies Database 2019",
      "description": "The State Child Abuse and Neglect (SCAN) Policies Database, supported by the Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human services, compiles data on state definitions and policies related to the surveillance of child maltreatment incidence and associated risk and protective factors. The SCAN Policies Database is a resource for researchers, analysts, and others who are interested in examining differences in definitions and policies on child maltreatment across states. A primary use of these data is to allow researchers to link the analytic files to other data sources to address important questions about how variations in states’ definitions and policies are associated with the incidence of child maltreatment, the child welfare system response, and ultimately child safety and well-being. Other data sources that can be linked with the SCAN Policies Database include data from the National Child Abuse and Neglect Data System (NCANDS), the Adoption and Foster Care Analysis and Reporting System (AFCARS), state administrative data, and survey data. When data from the SCAN Policies Database are linked with other data sources, these data can be used to answer key research questions about how variations in definitions and policies are associated with key aspects of understanding the incidence of child abuse and neglect. The SCAN Policies Database includes state definitions and policies from the 50 states, the District of Columbia, and the Commonwealth of Puerto Rico. The data were collected from a review of statutes and state documentation between May 2019 - June 2020.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State Child Abuse and Neglect (SCAN) Policies Database 2019 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=245"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0126",
      "title": "State Child Abuse and Neglect (SCAN) Policies Database 2019-2023",
      "description": "The State Child Abuse and Neglect (SCAN) Policies Database, supported by the Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human services, compiles data on state definitions and policies related to the surveillance of child maltreatment incidence and associated risk and protective factors.\n\nThe SCAN Policies Database is a resource for researchers, analysts, and others who are interested in examining differences in definitions and policies on child maltreatment across states and overtime. A primary use of these data is to allow researchers to link the analytic files to other data sources to address important questions about how variations in states’ definitions and policies are associated with the incidence of child maltreatment, the child welfare system response, and ultimately child safety and well-being.\n\nOther data sources that can be linked with the SCAN Policies Database include data from the National Child Abuse and Neglect Data System (NCANDS), the Adoption and Foster Care Analysis and Reporting System (AFCARS), state administrative data, and survey data. When data from the SCAN Policies Database are linked with other data sources, these data can be used to answer key research questions about how variations in definitions and policies are associated with key aspects of understanding the incidence of child abuse and neglect.\n\nThe SCAN Policies Database includes state definitions and policies from the 50 states, the District of Columbia, and the Commonwealth of Puerto Rico. The SCAN Policies Database 2019 represents data, collected, reviewed, and verified between May 2019 and July 2020, and the data reflect the state definitions and policies for the calendar year 2019. The SCAN Policies Database 2021 represents data collected, reviewed, and verified between July 2021 and January 2022, and the data reflect the state definitions and policies for the calendar year 2021. The SCAN Policies Database 2023 represents data, collected, reviewed, and verified between May 2023 and July 2024, and the data reflect the state definitions and policies for the calendar year 2023.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State Child Abuse and Neglect (SCAN) Policies Database 2019-2023 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=296"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0127",
      "title": "State Child Abuse and Neglect (SCAN) Policies Database 2021",
      "description": "The State Child Abuse and Neglect (SCAN) Policies Database, supported by the Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human services, compiles data on state definitions and policies related to the surveillance of child maltreatment incidence and associated risk and protective factors.\n\nThe SCAN Policies Database is a resource for researchers, analysts, and others who are interested in examining differences in definitions and policies on child maltreatment across states and overtime. A primary use of these data is to allow researchers to link the analytic files to other data sources to address important questions about how variations in states’ definitions and policies are associated with the incidence of child maltreatment, the child welfare system response, and ultimately child safety and well-being.\n\nOther data sources that can be linked with the SCAN Policies Database include data from the National Child Abuse and Neglect Data System (NCANDS), the Adoption and Foster Care Analysis and Reporting System (AFCARS), state administrative data, and survey data. When data from the SCAN Policies Database are linked with other data sources, these data can be used to answer key research questions about how variations in definitions and policies are associated with key aspects of understanding the incidence of child abuse and neglect.\n\nThe SCAN Policies Database includes state definitions and policies from the 50 states, the District of Columbia, and the Commonwealth of Puerto Rico. The SCAN Policies Database 2021 represents data, collected, reviewed, and verified between May 2021 and July 2022, and the data reflect the state definitions and policies for the calendar year 2019. The SCAN Policies Database 2021 represents data collected, reviewed, and verified between July 2021 and January 2022, and the data reflect the state definitions and policies for the calendar year 2021.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State Child Abuse and Neglect (SCAN) Policies Database 2021 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=265"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0128",
      "title": "State Child Abuse and Neglect (SCAN) Policies Database 2023",
      "description": "The State Child Abuse and Neglect (SCAN) Policies Database, supported by the Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human services, compiles data on state definitions and policies related to the surveillance of child maltreatment incidence and associated risk and protective factors.\n\nThe SCAN Policies Database is a resource for researchers, analysts, and others who are interested in examining differences in definitions and policies on child maltreatment across states and overtime. A primary use of these data is to allow researchers to link the analytic files to other data sources to address important questions about how variations in states’ definitions and policies are associated with the incidence of child maltreatment, the child welfare system response, and ultimately child safety and well-being.\n\nOther data sources that can be linked with the SCAN Policies Database include data from the National Child Abuse and Neglect Data System (NCANDS), the Adoption and Foster Care Analysis and Reporting System (AFCARS), state administrative data, and survey data. When data from the SCAN Policies Database are linked with other data sources, these data can be used to answer key research questions about how variations in definitions and policies are associated with key aspects of understanding the incidence of child abuse and neglect.\n\nThe SCAN Policies Database includes state definitions and policies from the 50 states, the District of Columbia, and the Commonwealth of Puerto Rico. The SCAN Policies Database 2023 represents data, collected, reviewed, and verified between May 2023 and July 2024, and the data reflect the state definitions and policies for the calendar year 2023.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State Child Abuse and Neglect (SCAN) Policies Database 2023 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=295"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0129",
      "title": "The National Survey of Child and Adolescent Well-Being I (NSCAW I), General Release, Waves 1-5",
      "description": "The Administration on Children, Youth, and Families and the Office of the Assistant Secretary for Planning and Evaluation have undertaken the National Survey of Child and Adolescent Well-Being (NSCAW). NSCAW makes available, for the first time, nationally representative longitudinal data drawn from first-hand reports of children and families or other caregivers who have had contact with the child welfare system. Data from service providers are also collected. NSCAW is the first national study to provide detailed information on the experiences of children and families with the child welfare system and to collect measures of well-being for this population. The NSCAW is designed to address the following questions: What paths do children follow into and through the child welfare system? What factors affect investigation, services, placements, and length of involvement? What are the long- and short-term outcomes for children and families in the child welfare system in terms of safety, well-being, and permanence? The target population for the NSCAW includes all children and families that enter the child welfare system. Two samples were drawn from the population in 92 participating county child welfare agencies throughout the nation. The CPS sample includes 5,501 children who were between the ages of 0 and 14 years at the close of the investigation. All investigations for the sample were closed between October 1, 1999 and December 31, 2000. The second sample consists of an additional 727 children who were in out-of-home care for about 12 months at the time of sampling. This second group, referred to as the One Year in Foster Care (OYFC) Sample, was selected to allow special analysis related to the experience of out-of-home care. Waves 2, 3, and 4 take place 12, 18, and 36 months after the close of the investigation.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The National Survey of Child and Adolescent Well-Being I (NSCAW I), General Release, Waves 1-5 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-nscaw.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=132"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0130",
      "title": "The National Survey of Child and Adolescent Well-Being I (NSCAW I), Restricted Release- Waves 1-5",
      "description": "The Administration on Children, Youth, and Families and the Office of the Assistant Secretary for Planning and Evaluation have undertaken the National Survey of Child and Adolescent Well-Being (NSCAW). NSCAW makes available, for the first time, nationally representative longitudinal data drawn from first-hand reports of children and families or other caregivers who have had contact with the child welfare system. Data from service providers are also collected. NSCAW is the first national study to provide detailed information on the experiences of children and families with the child welfare system and to collect measures of well-being for this population. The NSCAW is designed to address the following questions: What paths do children follow into and through the child welfare system? What factors affect investigation, services, placements, and length of involvement? What are the long- and short-term outcomes for children and families in the child welfare system in terms of safety, well-being, and permanence? The target population for the NSCAW includes all children and families that enter the child welfare system. Two samples were drawn from the population in 92 participating county child welfare agencies throughout the nation. The CPS sample includes 5,501 children who were between the ages of 0 and 14 years at the close of the investigation. All investigations for the sample were closed between October 1, 1999 and December 31, 2000. The second sample consists of an additional 727 children who were in out-of-home care for about 12 months at the time of sampling. This second group, referred to as the One Year in Foster Care (OYFC) Sample, was selected to allow special analysis related to the experience of out-of-home care. Wave 1 data collection took place 2–6 months after the close of the investigation. Waves 2, 3, and 4 took place 12, 18, and 36 months after the investigation, respectively. The Wave 5 follow-up took place in five staged cohorts 59–97 months after the investigation.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The National Survey of Child and Adolescent Well-Being I (NSCAW I), Restricted Release- Waves 1-5 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-nscaw.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=127"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0131",
      "title": "Understanding Post Adoption and Guardianship Instability for Children and Youth Who Exit Foster Care (PAGI): The NSCAW Adoption Study",
      "description": "The purpose of the Understanding Postadoption and Guardianship Instability for Children and Youth Who Exit Foster Care (or PAGI) project is to examine rates of instability, factors associated with instability, and the supports and resources that promote post-permanency stability. Ultimately, the project aims to support efforts to build the capacity of federal, state, and local agencies to get accurate information about instability for children who exit foster care to adoption or guardianship. In order to examine these issues, two separate studies were conducted 1.) The Contact After Adoption or Guardianship: Child Welfare Agency and Family Interactions Study and 2.) The Survey of National Survey of Child and Adolescent Well-Being (NSCAW) Adopted Youth, Young Adults, Adults, and Adoptive Parents. This dataset contains data from The Survey of National Survey of Child and Adolescent Well-Being (NSCAW) Adopted Youth, Young Adults, Adults, and Adoptive Parents.\n\nThe Survey of National Survey of Child and Adolescent Well-Being (NSCAW) Adopted Youth, Young Adults, Adults, and Adoptive Parents (hereafter referred to as “The NSCAW Adoption Study”) seeks to understand the extent of post adoption instability events that occur in families who have adopted children who have exited the foster care system. Post adoption instability refers to situations in which children who exit foster care to adoptive homes no longer reside with their adoptive parents and includes formal events, such as a child’s reentry into the foster care system, or informal events, such as a child going to live with a grandparent or running away. A second objective is to understand risk and protective factors associated with post adoption instability. The study conducted web or telephone surveys with adopted youth, young adults, and adults as well as their adoptive parents who were participants in the first or second cohort of the National Survey of Child and Adolescent Well-Being (NSCAW I, II; OMB #0970-0202).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Understanding Post Adoption and Guardianship Instability for Children and Youth Who Exit Foster Care (PAGI): The NSCAW Adoption Study - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=270"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0135",
      "title": "Fourth National Incidence Study of Child Abuse and Neglect (NIS-4)",
      "description": "In collaboration with the Children's Bureau, the Office of Planning, Research and Evaluation in the Administration for Children and Families conducted the Fourth National Incidence Study of Child Abuse and Neglect (NIS-4). The National Incidence Studies have been conducted approximately once each decade, beginning in 1974, in response to requirements of the Child Abuse Prevention and Treatment Act. Although the Children's Bureau collects annual state-level administrative data on official reports of child maltreatment, the NIS studies are designed to estimate more broadly the incidence of child maltreatment in the United States by including both cases that are investigated by the authorities as well as those that are not. A unique contribution of the NIS has been the use of a common definitional framework for classifying children according to types of maltreatment as well as the severity of maltreatment. Key demographic characteristics of maltreated children and their families are also collected, which enables us to provide information about which children are most at risk. Data collection for the NIS-4 took place in 2005 and 2006. The study was conducted through a contract to Westat.The principal objectives of the NIS-4 were to provide updated estimates of the incidence of child abuse and neglect in the United States and measure changes in incidence from the earlier studies. The NIS follows a nationally representative sample design, so the estimates reflect the numbers of abused and neglected children in the United States who receive CPS investigation or come to the attention of community professionals. The fact that there have been three previous NIS cycles using comparable methods and definitions means that one can compare NIS-4 estimates with those from the earlier studies in order to identify changes over time in the incidence and distribution of abused and neglected children. Data from the three prior NIS cycles are available from NDACAN as Datasets 52, 51, and 70. To learn more about the NIS-4 study, please visit the Child Welfare Information Gateway's NIS webpage where you can download study related documentation. NDACAN's dedicated NIS-4 User Support page contains a video and several documents to assist researchers with these data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Fourth National Incidence Study of Child Abuse and Neglect (NIS-4) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-nis.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=147"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0136",
      "title": "Multi-Site Evaluation of Foster Youth Programs (Chafee Independent Living Evaluation Project), 2001-2010",
      "description": "The Children’s Bureau in the Administration for Children and Families contracted with the Urban Institute and its partners—the Chapin Hall Center for Children at the University of Chicago and the National Opinion Research Center—to conduct an evaluation of selected programs funded through John Chafee Foster Care Independence Program (CFCIP). This evaluation, using a rigorous, random assignment design, was called for in the Foster Care Independence Act of 1999. The goal of the evaluation is to determine the effects of Independent Living Programs funded under CFCIP in achieving key outcomes for participating youth including increased educational attainment, higher employment rates and stability, greater interpersonal and relationship skills, reduced non-marital pregnancy and births, and reduced delinquency and crime rates. An initial evaluability assessment was conducted to identify programs that could be rigorously evaluated and to develop an evaluation design that would meet the requirements of the authorizing legislation. Programs participating in the evaluation include an employment services program in Kern County, California; a one-on-one intensive, individualized life skills program in Massachusetts; and, a tutoring/mentoring program and a classroom-based life skills training program, both in Los Angeles County, California. In order to determine the short and long-term effects of Independent Living Programs on key outcomes noted above, youth are assigned to intervention and control groups and surveyed at three points over the course of the evaluation. In-person interviews with youth obtain information on youth characteristics, program interventions and services, moderating factors, and intermediate and longer-term outcomes. In-person interviews are conducted with program administrators, community advocates, and directors of community provider agencies. Focus groups are conducted with youth, independent living program staff, and other agency staff responsible for referring youth to the programs. Child and family demographics, child welfare placement history, physical and mental health status, and delinquency history will be obtained through extracts of state administrative data. This study is being coordinated with other Children’s Bureau-funded efforts designed to meet the evaluation requirements of CFCIP.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare",
        "family support services"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "state"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Multi-Site Evaluation of Foster Youth Programs (Chafee Independent Living Evaluation Project), 2001-2010 - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=161"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0137",
      "title": "National Study of the Incidence of Child Abuse and Neglect 1980 (NIS-1)",
      "description": "Conducted by NCCAN and mandated by Congress, this study was the first large scale effort to assemble information, based on standardized definitions, about the scope and character of recognized child abuse and neglect in the United States. From findings obtained in a probability sample of 26 counties in 10 states, national estimates were derived from the numbers and characteristics of abused and neglected children who were: a) referred to CPS agencies and treatment, b) not referred to CPS but were known to other investigatory agencies which may handle abuse/neglect situations (e.g., police, court, public health departments, etc.), or c) were not known to any of the investigatory agencies but were identifiable from other community institutions, particularly schools and hospitals.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Study of the Incidence of Child Abuse and Neglect 1980 (NIS-1) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-nis.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=52"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0138",
      "title": "National Study of the Incidence of Child Abuse and Neglect 1987 (NIS-2)",
      "description": "The purpose of the second national incidence study was to assess the current national incidence of child abuse and neglect, and to determine how the severity, frequency, and character of child maltreatment changed since the first national incidence study. As a follow-up to the first national incidence study, the second study followed essentially the same design. However, this study included an updated set of definitions based on the “harm standard.” Original definitions (from 1980) were also used so that comparisons could be made to the first study.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Study of the Incidence of Child Abuse and Neglect 1987 (NIS-2) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-nis.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=51"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0139",
      "title": "State Child Welfare (SCW) Data Linkages Descriptive Study",
      "description": "The State Child Welfare Data Linkages (SCW) Descriptive Study aims to provide novel information regarding connected (linked or integrated) state data that may be leveraged to improve the ongoing and accurate surveillance of child maltreatment incidence and related risk. The study examined the extent to which child welfare agencies in 50 states, Puerto Rico, and Washington, DC connected administrative data on child maltreatment to other data sources and aimed to learn more about agency practices related to sharing and connecting data. The SCW Descriptive Study explored the following research questions: What are the characteristics of states’ data systems of record? What states have connected data and how are those data used? What data sources are being connected, and what are the characteristics of the connected data? How do states link, manage, and govern their connected data? What are states’ plans for connected data and how are they building capacity?",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "restricted public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State Child Welfare (SCW) Data Linkages Descriptive Study - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=287"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-opre-0140",
      "title": "Third National Incidence Study on Child Abuse and Neglect (NIS-3)",
      "description": "The National Incidence Study (NIS) is a congressionally mandated, periodic effort of the National Center on Child Abuse and Neglect (NCCAN). The third NIS (NIS-3) was conducted between 1993 and 1995, and published in 1996. NIS-3 had several objectives: To provide current estimates of the incidence of child abuse and neglect in the US and measure changes in these estimates from earlier studies. To examine the distribution of child maltreatment in relation to various demographic factors. To estimate the incidence of substantiated maltreatment cases that result in civil and criminal proceedings and their disposition. To develop an understanding of the relationship between an incident of maltreatment, its observation, its report to a child protective service agency, and any actions taken by the agency.Data were collected during a 3-month period in the fall of 1993 from child protective service agencies and other community agencies, including schools and health agencies, in 42 counties selected to be nationally representative. Stringent safeguards were followed to ensure the confidentiality of all children, family members, and others involved in suspected maltreatment and of all individuals who provided data to the study.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OPRE Hub",
          "hasEmail": "mailto:OPREhub@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Planning, Research & Evaluation (OPRE)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "child welfare"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Third National Incidence Study on Child Abuse and Neglect (NIS-3) - Landing Page",
        "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/datasets-list-nis.cfm"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ndacan.acf.hhs.gov/datasets/dataset-details.cfm?ID=70"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0001",
      "title": "Annual Survey of Refugees (2016)",
      "description": "This dataset contains Annual Survey of Refugees (ASR) public-use survey data on recently resettled refugees in the United States. It includes household- and individual-level information on refugees’ initial five years after arrival, including English proficiency, education, employment, income, public assistance, lawful permanent residence, self-sufficiency, and integration.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR Annual Survey of Refugees",
          "hasEmail": "mailto:ASR@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "education",
        "employment",
        "refugee resettlement"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Annual Survey of Refugees (2016) - Landing Page",
        "accessURL": "https://acf.gov/orr/programs/refugees/annual-survey-refugees"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.openicpsr.org/openicpsr/project/104642/version/V4/view"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0002",
      "title": "Annual Survey of Refugees (2017)",
      "description": "This dataset contains Annual Survey of Refugees (ASR) public-use survey data on recently resettled refugees in the United States. It includes household- and individual-level information on refugees’ initial five years after arrival, including English proficiency, education, employment, income, public assistance, lawful permanent residence, self-sufficiency, and integration.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR Annual Survey of Refugees",
          "hasEmail": "mailto:ASR@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "education",
        "employment",
        "refugee resettlement"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Annual Survey of Refugees (2017) - Landing Page",
        "accessURL": "https://acf.gov/orr/programs/refugees/annual-survey-refugees"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.openicpsr.org/openicpsr/project/117581/version/V1/view"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0003",
      "title": "Annual Survey of Refugees (2018)",
      "description": "This dataset contains Annual Survey of Refugees (ASR) public-use survey data on recently resettled refugees in the United States. It includes household- and individual-level information on refugees’ initial five years after arrival, including English proficiency, education, employment, income, public assistance, lawful permanent residence, self-sufficiency, and integration.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR Annual Survey of Refugees",
          "hasEmail": "mailto:ASR@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "education",
        "employment",
        "refugee resettlement"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Annual Survey of Refugees (2018) - Landing Page",
        "accessURL": "https://acf.gov/orr/programs/refugees/annual-survey-refugees"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.openicpsr.org/openicpsr/project/131025/version/V1/view"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0004",
      "title": "Annual Survey of Refugees (2019)",
      "description": "This dataset contains Annual Survey of Refugees (ASR) public-use survey data on recently resettled refugees in the United States. It includes household- and individual-level information on refugees’ initial five years after arrival, including English proficiency, education, employment, income, public assistance, lawful permanent residence, self-sufficiency, and integration.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR Annual Survey of Refugees",
          "hasEmail": "mailto:ASR@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "education",
        "employment",
        "refugee resettlement"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Annual Survey of Refugees (2019) - Landing Page",
        "accessURL": "https://acf.gov/orr/programs/refugees/annual-survey-refugees"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.openicpsr.org/openicpsr/project/168641/version/V2/view"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0005",
      "title": "Annual Survey of Refugees (2020)",
      "description": "This dataset contains Annual Survey of Refugees (ASR) public-use survey data on recently resettled refugees in the United States. It includes household- and individual-level information on refugees’ initial five years after arrival, including English proficiency, education, employment, income, public assistance, lawful permanent residence, self-sufficiency, and integration.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR Annual Survey of Refugees",
          "hasEmail": "mailto:ASR@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "education",
        "employment",
        "refugee resettlement"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Annual Survey of Refugees (2020) - Landing Page",
        "accessURL": "https://acf.gov/orr/programs/refugees/annual-survey-refugees"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.openicpsr.org/openicpsr/project/195403/version/V2/view"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0006",
      "title": "Annual Survey of Refugees (2021)",
      "description": "This dataset contains Annual Survey of Refugees (ASR) public-use survey data on recently resettled refugees in the United States. It includes household- and individual-level information on refugees’ initial five years after arrival, including English proficiency, education, employment, income, public assistance, lawful permanent residence, self-sufficiency, and integration.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR Annual Survey of Refugees",
          "hasEmail": "mailto:ASR@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "education",
        "employment",
        "refugee resettlement"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Annual Survey of Refugees (2021) - Landing Page",
        "accessURL": "https://acf.gov/orr/programs/refugees/annual-survey-refugees"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.openicpsr.org/openicpsr/project/207021/version/V1/view"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0007",
      "title": "Annual Survey of Refugees (2022)",
      "description": "This dataset contains Annual Survey of Refugees (ASR) public-use survey data on recently resettled refugees in the United States. It includes household- and individual-level information on refugees’ initial five years after arrival, including English proficiency, education, employment, income, public assistance, lawful permanent residence, self-sufficiency, and integration.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR Annual Survey of Refugees",
          "hasEmail": "mailto:ASR@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "education",
        "employment",
        "refugee resettlement"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Annual Survey of Refugees (2022) - Landing Page",
        "accessURL": "https://acf.gov/orr/programs/refugees/annual-survey-refugees"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.openicpsr.org/openicpsr/project/209224/version/V1/view"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0008",
      "title": "Annual Survey of Refugees (2023)",
      "description": "This dataset contains Annual Survey of Refugees (ASR) public-use survey data on recently resettled refugees in the United States. It includes household- and individual-level information on refugees’ initial five years after arrival, including English proficiency, education, employment, income, public assistance, lawful permanent residence, self-sufficiency, and integration.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR Annual Survey of Refugees",
          "hasEmail": "mailto:ASR@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "education",
        "employment",
        "refugee resettlement"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Annual Survey of Refugees (2023) - Landing Page",
        "accessURL": "https://acf.gov/orr/programs/refugees/annual-survey-refugees"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.openicpsr.org/openicpsr/project/242083/version/V1/view"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0010",
      "title": "HHS Unaccompanied Children Program - Daily Data",
      "description": "This data asset contains daily counts of unaccompanied children in CBP custody, transferred to HHS care, in HHS care, and discharged to sponsors.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR UC Data",
          "hasEmail": "mailto:UC.Data@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "unaccompanied alien children"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "HHS Unaccompanied Children Program - Daily Data - Landing Page",
        "accessURL": "https://healthdata.gov/National/HHS-Unaccompanied-Children-Program/ehpz-xc9n/about_data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://healthdata.gov/National/HHS-Unaccompanied-Alien-Children-Program/ehpz-xc9n/data_preview"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0012",
      "title": "Unaccompanied Alien Children Operational Data: Monthly Operational Statistics",
      "description": "This data asset contains monthly operational statistics for unaccompanied alien children in ORR care during the fiscal year. It includes average number of children in care, maximum operational beds, average occupancy rate, average length of care for children discharged and in care, 30-day average referrals, and 30-day average discharge rates reported as of the last day of each month.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR UC Data",
          "hasEmail": "mailto:UC.Data@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "unaccompanied alien children"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Unaccompanied Alien Children Operational Data: Monthly Operational Statistics - Landing Page",
        "accessURL": "https://acf.gov/orr/research-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/orr/research-data/uac",
          "downloadURL": "https://acf.gov/sites/default/files/documents/orr/UAC-Operational-Data.csv",
          "mediaType": "text/csv",
          "format": "CSV"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0013",
      "title": "Unaccompanied Alien Children Operational Data: Average Length of Care",
      "description": "This data asset contains fiscal-year average length-of-care measures for unaccompanied alien children in ORR care. It reports the average number of days children remained in ORR care by fiscal year, supporting analysis of how long children stayed in care before discharge, release, or other case resolution. The data are presented as annual averages across fiscal years.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR UC Data",
          "hasEmail": "mailto:UC.Data@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "unaccompanied alien children"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Unaccompanied Alien Children Operational Data: Average Length of Care - Landing Page",
        "accessURL": "https://acf.gov/orr/research-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/orr/research-data/uac",
          "downloadURL": "https://acf.gov/sites/default/files/documents/orr/UAC-Operational-Data.csv",
          "mediaType": "text/csv",
          "format": "CSV"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0014",
      "title": "Unaccompanied Alien Children Data by Sex (Breakdown by Last Day of the Month)",
      "description": "This data asset contains sex-distribution data for unaccompanied alien children in ORR care. It includes monthly counts of male and female children in care for the current fiscal year, as of the last day of each month. The data support demographic analysis of the sex composition of children served by ORR.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR UC Data",
          "hasEmail": "mailto:UC.Data@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "unaccompanied alien children"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Unaccompanied Alien Children Data by Sex (Breakdown by Last Day of the Month) - Landing Page",
        "accessURL": "https://acf.gov/orr/research-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/orr/research-data/uac",
          "downloadURL": "https://acf.gov/sites/default/files/documents/orr/UAC-Sex-Data.csv",
          "mediaType": "text/csv",
          "format": "CSV"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0015",
      "title": "Unaccompanied Alien Children Data by Sex (Breakdown by Fiscal Year)",
      "description": "This data asset contains sex-distribution data for unaccompanied alien children in ORR care. It includes historical fiscal-year percentages for males and females. The data support demographic analysis of the sex composition of children served by ORR.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR UC Data",
          "hasEmail": "mailto:UC.Data@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "unaccompanied alien children"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Unaccompanied Alien Children Data by Sex (Breakdown by Fiscal Year) - Landing Page",
        "accessURL": "https://acf.gov/orr/research-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/orr/research-data/uac",
          "downloadURL": "https://acf.gov/sites/default/files/documents/orr/UAC-Sex-Data.csv",
          "mediaType": "text/csv",
          "format": "CSV"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0016",
      "title": "Unaccompanied Alien Children Data by Age (Breakdown By Last Day of the Month)",
      "description": "This data asset contains age-distribution data for unaccompanied alien children in ORR care. It includes monthly counts by age group as of the last day of the month for FY 2026 for age categories including 0-5, 6-12, 13-14, 15-16 and 17 or older. The data support analysis of the age profile of children in ORR custody over time.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR UC Data",
          "hasEmail": "mailto:UC.Data@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "unaccompanied alien children"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Unaccompanied Alien Children Data by Age (Breakdown By Last Day of the Month) - Landing Page",
        "accessURL": "https://acf.gov/orr/research-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/orr/research-data/uac",
          "downloadURL": "https://acf.gov/sites/default/files/documents/orr/UAC-Age-Data_0.csv",
          "mediaType": "text/csv",
          "format": "CSV"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0017",
      "title": "Unaccompanied Alien Children Data by Age (Breakdown By Fiscal Year)",
      "description": "This data asset contains age-distribution data for unaccompanied alien children in ORR care. It includes historical fiscal-year percentages for age categories including 0-12, 13-14, 15-16, and 17 or older. The data support analysis of the age profile of children in ORR custody over time.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR UC Data",
          "hasEmail": "mailto:UC.Data@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "unaccompanied alien children"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Unaccompanied Alien Children Data by Age (Breakdown By Fiscal Year) - Landing Page",
        "accessURL": "https://acf.gov/orr/research-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/orr/research-data/uac",
          "downloadURL": "https://acf.gov/sites/default/files/documents/orr/UAC-Age-Data_0.csv",
          "mediaType": "text/csv",
          "format": "CSV"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0018",
      "title": "Unaccompanied Alien Children Data of Tender Age (0-12) Children by Shelter Type",
      "description": "This data asset contains monthly placement data for tender age unaccompanied children ages 0-12 in ORR care. It reports counts by shelter or placement type, including shelter, transitional foster care, residential treatment center, staff secure, secure, therapeutic settings, long-term foster care, emergency intake facility, and influx care facility, as of the last day of each month.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR UC Data",
          "hasEmail": "mailto:UC.Data@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "unaccompanied alien children"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Unaccompanied Alien Children Data of Tender Age (0-12) Children by Shelter Type - Landing Page",
        "accessURL": "https://acf.gov/orr/research-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/orr/research-data/uac",
          "downloadURL": "https://acf.gov/sites/default/files/documents/orr/UAC-Tender-Age-by-Shelter-Data.csv",
          "mediaType": "text/csv",
          "format": "CSV"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0020",
      "title": "Unaccompanied Alien Children Data by Primary Language",
      "description": "This data asset contains primary-language data for unaccompanied alien children in ORR care by fiscal year. It reports the five predominant languages spoken by children in ORR custody, including counts and percentages for each listed language. The data support analysis of language needs, interpretation needs, and linguistic diversity among children served by ORR.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR UC Data",
          "hasEmail": "mailto:UC.Data@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "unaccompanied alien children"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Unaccompanied Alien Children Data by Primary Language - Landing Page",
        "accessURL": "https://acf.gov/orr/research-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/orr/research-data/uac",
          "downloadURL": "https://acf.gov/sites/default/files/documents/orr/UAC-Primary-Language-Data.csv",
          "mediaType": "text/csv",
          "format": "CSV"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0021",
      "title": "Unaccompanied Alien Children Data by Number of Home Studies",
      "description": "This data asset contains fiscal-year counts of home studies conducted by ORR care providers for unaccompanied alien children. It reports the number of home studies completed each fiscal year, supporting analysis of sponsor assessment activities used to evaluate potential placements before a child is released from ORR care.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR UC Data",
          "hasEmail": "mailto:UC.Data@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "unaccompanied alien children"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Unaccompanied Alien Children Data by Number of Home Studies - Landing Page",
        "accessURL": "https://acf.gov/orr/research-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/orr/research-data/uac",
          "downloadURL": "https://acf.gov/sites/default/files/documents/orr/UAC-Home-Studies-Data.csv",
          "mediaType": "text/csv",
          "format": "CSV"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0022",
      "title": "Unaccompanied Alien Children Data by Category Related to Individual Sponsors",
      "description": "This data asset contains monthly discharge data for unaccompanied alien children released from ORR care to individual sponsors. It includes current fiscal-year discharges by sponsor category and total monthly discharges, as of the last day of each month. The section also links to county-level and state-level release data showing where children were released to sponsors.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR UC Data",
          "hasEmail": "mailto:UC.Data@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "unaccompanied alien children"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Unaccompanied Alien Children Data by Category Related to Individual Sponsors - Landing Page",
        "accessURL": "https://acf.gov/orr/research-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/orr/research-data/uac",
          "downloadURL": "https://acf.gov/sites/default/files/documents/orr/UAC-Monthly-Released-to-Sponsor-Data.csv",
          "mediaType": "text/csv",
          "format": "CSV"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acf-orr-0025",
      "title": "Unaccompanied Alien Children Data by Referral to Post-Release Services",
      "description": "This data asset contains fiscal-year post-release services referral data for unaccompanied alien children released to sponsors. It includes the number of children released to sponsors, the number referred for post-release services by ORR, and the percentage referred for services. The data exclude cancelled PRS referrals, including for children who turned 18 after release.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ORR UC Data",
          "hasEmail": "mailto:UC.Data@acf.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Refugee Resettlement (ORR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Children and Families (ACF)"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "unaccompanied alien children"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human services"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "united states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Unaccompanied Alien Children Data by Referral to Post-Release Services - Landing Page",
        "accessURL": "https://acf.gov/orr/research-data"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://acf.gov/orr/research-data/uac",
          "downloadURL": "https://acf.gov/sites/default/files/documents/orr/UAC-Post-Release-Services-Data.csv",
          "mediaType": "text/csv",
          "format": "CSV"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "acme-vg9e",
      "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data (2010 and prior)",
      "description": "2002-2010. BRFSS SMART County Prevalence land line only data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected counties with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Behavioral Risk Factor Surveillance System",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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                "name": "U.S. Department of Health and Human Services"
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            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2017-03-01",
      "issued": "2015-06-04",
      "theme": [
        {
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          "prefLabel": "Behavioral Risk Factors"
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      ],
      "keyword": [
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        "survey",
        "smart",
        "risk",
        "brfss",
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      ],
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          "prefLabel": "United States"
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      ],
      "landingPage": {
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        "accessURL": "https://www.cdc.gov/brfss/",
        "title": "PublicInquiriesDPH@cdc.gov"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/brfss/",
        "title": "DPH Public Inquiries"
      },
      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/acme-vg9e",
          "downloadURL": "https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factors-Selected-Metropolitan-Area/acme-vg9e/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain U.S. Government",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2017-03-01",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/d/acme-vg9e",
            "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data (2010 and prior)"
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              "restrictionStatus": "unrestricted"
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          "accessService": [
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              "title": "CDC Open Data API",
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                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
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        }
      ],
      "inventoried": "2026-09-27"
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    {
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      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
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      "description": "The Medicare Physician Fee Schedule update factor for 2018 is 0.5% and the conversion factor is 35.9996.",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2018.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
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      "identifier": "ad59cee1-0da5-41dc-97c5-bd64f865906c",
      "keyword": [
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        "indicators"
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          "startDate": "2018-01-01",
          "endDate": "2018-12-31T11:59:59Z"
        }
      ],
      "theme": [
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      "title": "Indicators for 2018",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan Attributes PUF - PY2025",
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      "description": "The Plan Attributes PUF (Plan-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The Plan-PUF contains plan variant-level data on maximum out of pocket payments, deductibles, health savings account (HSA) eligibility, and other plan attributes.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
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      "contactPoint": {
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        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Plan Attributes",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2025"
      ],
      "distribution": [
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          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2025/plan_attributes_PUF.csv",
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            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/237ee5ee-34cb-485a-9bfc-d2c7006c4ef9",
            "title": "data.healthcare.gov"
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        }
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      "bureauCode": [
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      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "adba-1d45",
      "title": "Clinical Laboratory Office Visit Costs",
      "description": "Returns clinical laboratory office visit costs per zip code for new and established patients.",
      "keyword": [
        "Clinical Laboratory"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/8321aa019ab9c5279adae26ec5cc37af_1722902719/Clinical_Laboratory.csv",
          "mediaType": "text/csv",
          "title": "Clinical_Laboratory.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Clinical Laboratory Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/adba-1d45"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-12-11-to-2023-12-17",
      "identifier": "ae0d720a-eafc-44dc-88ab-65da83917ec2",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-10-17T20:52:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-12-11-to-2023-12-17",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-12112023-to-12172023-10172025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan ID Crosswalk PUF – PY2026 ",
      "identifier": "ae346fd6-b777-4ba4-ab69-20da698c3a9c",
      "description": "The Plan ID Crosswalk PUF (CW-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The purpose of the CW-PUF is to map QHPs and SADPs offered through the Exchanges during the previous plan year to plans that will be offered through the Exchanges in the current plan year.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2025-10-30T04:00:00Z",
      "modified": "2025-11-06T22:26:24Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Plan ID Crosswalk",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2026"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2026/plan_id_crosswalk_PUF.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 1991",
      "identifier": "ae4d5347-5137-5f6c-b66c-3420fa0316d8",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T17:19:41Z",
      "modified": "2026-04-03T13:53:37Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-1991.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "The CY 2014 PFS final rule with comment period was placed on display at the Federal Register on November 27, 2013. It was published in the Federal Register on December 10, 2013. The final rule addresses changes to the physician fee schedule, payments for Part B drugs, and other Medicare Part B payment policies, to ensure that our payment systems are updated to reflect changes in current medical practices and the relative value of those services. Effective January 1, 2014 to March 31, 2014, as directed by the Congressional passage of the \"Pathway for SGR Reform Act of 2013\" on December 18, 2013, the Medicare Physician Fee Schedule (MPFS) Conversion Factor is $35.8228. This reflects a 0.5 percent increase from the previous year. The \"Pathway for SGR Reform Act of 2013\" also extends the non-budget neutral work GPCI floor (1.0) to April 1, 2014.",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2014.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "ae7b9a2e-eab6-4d92-bcce-452a5eb29a50",
      "keyword": [
        "2014",
        "indicators"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Indicators for 2014",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "aemk-wcbf",
      "title": "NOHSS Adult Indicators - 2010 And Prior BRFSS",
      "description": "Data from BRFSS for indicators of adult oral health for 1999 and even years from 2002 through 2010. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding. For more information, see: https://www.cdc.gov/oralhealthdata/overview/Adult_Indicators.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Oral Health",
          "hasEmail": "mailto:oralhealth@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Oral Health (DOH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-02-27",
      "issued": "2016-11-07",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Oral Health"
        }
      ],
      "keyword": [
        "access to care",
        "dental cleaning",
        "tooth loss",
        "dental visits",
        "adults"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/oralhealth/",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/oralhealth/",
        "title": "Oral Health Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "NOHSS Adult Indicators - 2010 And Prior BRFSS",
          "description": "Data from BRFSS for indicators of adult oral health for 1999 and even years from 2002 through 2010. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding. For more information, see: http://www.cdc.gov/oralhealthdata/overview/Adult_Indicators.html",
          "accessURL": "https://data.cdc.gov/d/aemk-wcbf",
          "downloadURL": "https://data.cdc.gov/Oral-Health/NOHSS-Adult-Indicators-2010-And-Prior-BRFSS/aemk-wcbf/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-02-27",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/aemk-wcbf",
            "title": "NOHSS Adult Indicators - 2010 And Prior BRFSS"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "NOHSS Adult Indicators Series",
          "description": "Data from BRFSS for indicators of adult oral health for 1999 and even years from 2010 through 2020. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding.  For more information, see: https://www.cdc.gov/oralhealthdata/overview/Adult-Indicators.html."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan ID Crosswalk PUF – PY2025",
      "identifier": "af1301a6-77fb-4369-a157-09125608161d",
      "description": "The Plan ID Crosswalk PUF (CW-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The purpose of the CW-PUF is to map QHPs and SADPs offered through the Exchanges during the previous plan year to plans that will be offered through the Exchanges in the current plan year. ",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2024-09-26T04:00:00Z",
      "modified": "2024-10-24T20:00:01Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Plan ID Crosswalk",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2025"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2025/plan_id_crosswalk_PUF.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/3d9b10e1-e13c-4f3e-a19b-aa52174ef22f",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "afcb-07d8",
      "title": "Urology Office Visit Costs",
      "description": "Returns urology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Urology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/8d55d3466e6869ec06d00ea761b30d67_1722902774/Urology.csv",
          "mediaType": "text/csv",
          "title": "Urology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Urology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/afcb-07d8"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "featAuto_topicArea_measureDisplayGroups",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-09-25T14:18:32Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_featAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "topicArea_measureDisplayGroups csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20250924_ETL_DEV/topicArea_measureDisplayGroups.csv",
          "description": "{\"dataset\": \"topicArea_measureDisplayGroups\", \"stage\": \"featAuto\", \"update_id\": \"20250924_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "afea55ca-bf11-525a-93ea-891339cc44f7",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Benefits and Cost Sharing PUF - PY2018",
      "identifier": "afk4-e2ai",
      "description": "The Benefits and Cost Sharing PUF (BenCS-PUF) is one of the files that make up the Marketplace PUF. The BenCS-PUF contains plan-level data on essential health benefits, coverage limits, and cost sharing for each QHP and SADP. These data either originate from the Plans &amp; Benefits template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2017-10-25T19:54:25Z",
      "modified": "2018-08-14T14:05:51Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Jennings",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/benefits-cost-sharing-puf-2018.afk4-e2ai.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/185f6fff-e7c4-443b-bdaf-285a8d308af8",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "ai6z-tcin",
      "title": "PLACES: Local Data for Better Health, Census Tract Data 2024 release",
      "description": "This dataset contains model-based census tract estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-09-11",
      "issued": "2025-09-11",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "brfss",
        "status",
        "risk",
        "prevention",
        "prevalence",
        "places",
        "outcomes",
        "behaviors",
        "health",
        "disability",
        "census tract"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, Census Tract Data 2024 release",
          "description": "This dataset contains model-based census tract estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/ai6z-tcin",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/ai6z-tcin/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-09-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/ai6z-tcin",
            "title": "PLACES: Local Data for Better Health, Census Tract Data 2024 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
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          ],
          "useRestriction": [
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              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Census Tract Data Series, 2020-2025",
          "description": "This dataset contains model-based census tract-level estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia (DC) at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2019 Individual Medical",
      "identifier": "aiaw-cnn3",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2018-10-24T19:57:10Z",
      "modified": "2019-08-09T14:19:54Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/Med-Ind-Landscape.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Quality PUF - PY2019",
      "identifier": "ajej-zg7p",
      "description": "The Quality PUF contains 2018 quality ratings data for eligible Qualified Health Plans in PY2019 pilot states (MI, MT, NH, VA and WI)<br />\nAccess the Quality PUF and Data Dictionary Here - <a href=\"https://edit.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/QualityInitiativesGenInfo/Downloads/2018-QRS-Pilot-State-PUF_20181031.xlsx\">Quality PUF and Data Dictionary</a>",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "issued": "2018-11-01T21:54:10Z",
      "modified": "2018-11-02T20:30:49Z",
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          }
        ]
      },
      "contactPoint": {
        "fn": "Michael Paladino",
        "hasEmail": "mailto:Michael.Paladino@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/quality-puf-py2019.ajej-zg7p.csv",
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            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/1cf247be-ca88-4d52-b991-3f4ba0ba96cb",
            "title": "data.healthcare.gov"
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          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "akmt-4qtj",
      "title": "CDC PRAMStat Data for 2006",
      "description": "2006. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "the Pregnancy Risk Assessment Monitoring System",
          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
        }
      ],
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        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2015-03-16",
      "issued": "2015-03-16",
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        {
          "@type": "Concept",
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        }
      ],
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        "infant health",
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        "breastfeeding",
        "alcohol use",
        "abuse",
        "prenatal care",
        "sleep behavior",
        "smoke exposure",
        "stress",
        "tobacco use",
        "unintended pregnancy",
        "wic",
        "preconception health",
        "pregnancy history",
        "morbidity",
        "mental health",
        "medicaid",
        "obesity",
        "reproductive health"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/prams/index.htm",
        "title": "Centers for Disease Control and Prevention Division of Reproductive Health Pregnancy Risk Assessment Monitoring System (PRAMS)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
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      ],
      "creator": {
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        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/prams/index.htm",
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      },
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          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/akmt-4qtj",
          "downloadURL": "https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2006/akmt-4qtj/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2015-03-16",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/akmt-4qtj",
            "title": "CDC PRAMStat Data for 2006"
          },
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          ],
          "useRestriction": [
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              "restrictionStatus": "unrestricted"
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          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "CDC PRAMStat Dataset Series",
          "description": "PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Timely and Effective Care - State",
        "accessURL": "https://data.cms.gov/provider-data/dataset/apyc-v239"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Timely and Effective Care",
        "Emergency Department",
        "State"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "apyc-v239",
      "description": "Timely and Effective Care measures - state data. This data set includes state-level data for measures of cataract surgery outcome, colonoscopy follow-up, emergency department care, preventive care, and pregnancy and delivery care.",
      "title": "Timely and Effective Care - State",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/c4f74a440cc6ce4ed941fa3c9de2ab58_1785189968/Timely_and_Effective_Care-State.csv",
          "mediaType": "text/csv",
          "describedBy": {
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            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "at7e-uhkc",
      "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Age-adjusted Prevalence Data (2011 to Present)",
      "description": "2011 to present. BRFSS SMART MMSA age-adjusted prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary:  https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Behavioral Risk Factor Surveillance System",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-02-19",
      "issued": "2016-06-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Behavioral Risk Factors"
        }
      ],
      "keyword": [
        "factor",
        "age-adjusted",
        "behavioral",
        "brfss",
        "risk",
        "surveillance",
        "survey"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/BRFSS/",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Population Health Population Health Surveillance Branch"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/BRFSS/",
        "title": "DPH Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Age-adjusted Prevalence Data (2011 to Present)",
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          "accessURL": "https://data.cdc.gov/d/at7e-uhkc",
          "downloadURL": "https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factors-Selected-Metropolitan-Area/at7e-uhkc/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-02-19",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/at7e-uhkc",
            "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Age-adjusted Prevalence Data (2011 to Present)"
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              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
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          ],
          "useRestriction": [
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              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
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              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Network PUF - PY2020",
      "identifier": "aue3-def6",
      "description": "The Network PUF (Ntwrk-PUF) is one of the seven files that make up the Marketplace PUF. The Ntwrk-PUF contains issuer-level data identifying provider network URLs. These data either originate from the Network ID template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2019-10-22T11:17:16Z",
      "modified": "2020-10-23T15:13:34Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Ashley Van Scyoc",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/network-puf-2020.aue3-def6.csv",
          "describedBy": {
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            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/60ed5f1e-195d-4027-9073-7a4b6254e823",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2017 Dental SHOP",
      "identifier": "auys-8mdg",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2016-11-07T17:09:12Z",
      "modified": "2017-08-23T19:40:54Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Eze Onuoha",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2017_SHOP_Market_Dental_08_11_2017.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Hospital Value-Based Purchasing (HVBP) - Person and Community Engagement Domain Scores (HCAHPS)",
        "accessURL": "https://data.cms.gov/provider-data/dataset/avtz-f2ge"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-05",
      "@type": "Dataset",
      "modified": "2026-01-26",
      "released": "2026-08-13",
      "keyword": [
        "Value Based Purchasing",
        "Linking Quality to Payment",
        "CAHPS",
        "Patient Survey",
        "Patient Experience of Care",
        "Performance"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "avtz-f2ge",
      "description": "A list of hospitals participating in the FY 2026 Hospital VBP Program and their scores for the Person and Community Engagement HCAHPS dimensions.",
      "title": "Hospital Value-Based Purchasing (HVBP) - Person and Community Engagement Domain Scores (HCAHPS)",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/ccc6534894a9bfe22b5f986260ed359e_1770163624/hvbp_person_and_community_engagement.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Ambulatory Surgical Center Quality Measures - State",
        "accessURL": "https://data.cms.gov/provider-data/dataset/axe7-s95e"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-10-01",
      "@type": "Dataset",
      "modified": "2025-12-16",
      "released": "2026-08-13",
      "keyword": [
        "Ambulatory Surgical Center",
        "State",
        "Surgery",
        "Colonoscopy"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "axe7-s95e",
      "description": "This file contains state-level data for all measures reported through the Ambulatory Surgical Center Quality Reporting (ASCQR) Program.",
      "title": "Ambulatory Surgical Center Quality Measures - State",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/d3aea2dfaeae85c44017441b184aeb6d_1770163558/ASC_State.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 NV Medical SHOP",
      "identifier": "axtm-2c9r",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2014-11-13T17:22:16Z",
      "modified": "2015-08-20T00:58:38Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_NV-Med-SHOP-Land-08-13-2015.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "LTCH QRP Public Reporting Help Desk",
        "hasEmail": "mailto:LTCHPRquestions@cms.hhs.gov"
      },
      "description": "A list of long-term care hospitals with information such as address, phone number, ownership data and more.",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/2b538c65447e4897d75b0365b394e49b_1788977190/Long-Term_Care_Hospital-General_Information_Sep2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/long_term_care_hospital/LTCH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "azum-44iv",
      "issued": "2026-08-12",
      "keyword": [
        "Quality Reporting",
        "General Information",
        "Address",
        "Location"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Long-Term Care Hospital - General Information",
        "accessURL": "https://data.cms.gov/provider-data/dataset/azum-44iv"
      },
      "modified": "2026-08-12",
      "programCode": [
        "009:000"
      ],
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "released": "2026-09-23",
      "theme": [
        "Long-term care hospitals"
      ],
      "title": "Long-Term Care Hospital - General Information",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "b06f-0828",
      "title": "Interventional Pain Management Office Visit Costs",
      "description": "Returns interventional pain management office visit costs per zip code for new and established patients.",
      "keyword": [
        "Interventional Pain Management"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/17032774578501a30d0fdcc48e19dca4_1722902738/Interventional_Pain_Management.csv",
          "mediaType": "text/csv",
          "title": "Interventional_Pain_Management.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Interventional Pain Management Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/b06f-0828"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "implAuto_measure_backgroundAndMethods",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-05T18:10:13Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_implAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_backgroundAndMethods csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/measure_backgroundAndMethods.csv",
          "description": "{\"dataset\": \"measure_backgroundAndMethods\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "b07feac7-335b-5675-b4de-e483ad948e89",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard VERSION v0.3.58-test (local)",
      "modified": "2023-08-08T14:15:16Z",
      "distribution": [],
      "identifier": "b087ed0a-861b-5562-aac7-239348af8c82",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "Medicare physician/practitioner claims for services in January and February, 2003 were paid at the 2002 Physician Fee Schedule rates. The 2003 rates were effective March 1, 2003 through December 31, 2003.",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2003.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "b0a58bc4-93cc-45b9-b5cd-dedf31ed2cb0",
      "keyword": [
        "2003",
        "indicators"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2003-01-01",
          "endDate": "2003-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Indicators for 2003",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2026 Individual Dental",
      "identifier": "b0b89edb-c6a6-41ab-acec-deb829b8b002",
      "description": "The Dental Individual Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to consumers in the individual market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2026-08-04T04:00:00Z",
      "modified": "2026-08-10T14:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Individual",
        "Individual Market Dental",
        "SADP",
        "QHP Landscape Instructions",
        "PY2026"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2026/den-ind-lndscp-in.pdf",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "implAuto_states",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-05T18:10:13Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_implAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "states csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/states.csv",
          "description": "{\"dataset\": \"states\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "b0ba435a-a21a-5283-a470-7051321da5b1",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2021"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "Ownership Payment Data - Detailed Dataset 2021 Reporting Year\nAll ownership and investment payments from the 2021 program year [January 1 – December 31, 2021]",
      "distribution": [
        {
          "title": "Ownership Payment Data - Detailed Dataset 2021 Reporting Year",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/PGYR2021_P06302026_06032026/OP_DTL_OWNRSHP_PGYR2021_P06302026_06032026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://openpaymentsdata.cms.gov/api/1/metastore/schemas/data-dictionary/items/0b7b03cb-835c-50c4-abbb-5a311eb91858",
            "title": "openpaymentsdata.cms.gov"
          },
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "b0c03b8d-06df-58f2-8ce2-4daeffee147e",
      "title": "2021 Ownership Payment Data",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2021-01-01",
          "endDate": "2021-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Ownership Payments"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 20210913 to 20210919",
      "identifier": "b15e4145-8f0a-4790-810f-ef221ff87230",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2021-10-13T07:43:05Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rpt-drugs-sept-20210913-to-20210919.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 1997",
      "identifier": "b28a22a2-2c7b-5745-a3f9-d64621f51388",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T14:22:17Z",
      "modified": "2026-04-03T14:35:24Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-1997.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2022 Dental SHOP",
      "identifier": "b2b221ae-4285-4e05-b70b-13e09e7d65cf",
      "description": "The Dental SHOP Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2022-08-10T12:00:00Z",
      "modified": "2022-08-17T13:30:00Z",
      "publisher": {
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      "@type": "Dataset",
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      "description": "Starting with Plan Year 2023, the NIPR valid lines of authority (LOA) requirements for agents and brokers to participate in the Marketplace will be updated in some states. This page identifies every state’s LOA requirements along with the website to the applicable licensing authority. Contact the applicable state licensing authority with your questions or to ensure you have a valid LOA to participate in the Marketplace.",
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          "title": "Scorecard version v3.9.138 (Implementation)",
          "description": "Scorecard version v3.9.138 (Implementation)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.138/20260922/version.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 09-14-2026 to 09-20-2026",
      "identifier": "babb47a8-0cbb-420b-bed5-0bc7df3e053b",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2026-09-22T15:22:32Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-09-14-2026-to-09-20-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "Beneficiaries receiving a behavioral health service by behavioral health condition, 2017-2021",
      "identifier": "bb4936ea-8adf-41a5-882b-786a0b3a8822",
      "description": "This table presents beneficiaries who received at least one behavioral health service, by behavioral health condition, 2017-2021.\n\nSome states have serious data quality issues, making the data unusable for identifying this population. To assess data quality, analysts used measures featured in the DQ Atlas. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional, Gender, Age, Zip code, Race and ethnicity, Eligibility group code, Enrollment in CMC Plans. \n\nData from Maryland, Tennessee, and Utah are omitted for the tables due to data quality concerns. Maryland was excluded in 2017 due to unusable diagnosis codes in the IP file and the OT file. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2020. In addition, states with a high data quality concern on one or more measures are noted in the table in the \"Data Quality\" column. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T17:45:02Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Behavioral Health Care",
        "Integrated Care",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Beneficiaries receiving a behavioral health service by behavioral health condition, 2017-2021",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/benf-recving-behav-health-serv-2017-2021.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "bb4c-dcdf",
      "title": "Family Practice Office Visit Costs",
      "description": "Returns family practice office visit costs per zip code for new and established patients.",
      "keyword": [
        "Family Practice"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/1cf8d8955d98968aa0cd5afbfad8cb0b_1722902725/Family_Practice.csv",
          "mediaType": "text/csv",
          "title": "Family_Practice.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Family Practice Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/bb4c-dcdf"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2007",
      "identifier": "bb63ad8e-cab1-56e3-b492-da95d7e8cc5f",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T13:11:45Z",
      "modified": "2026-04-03T15:31:48Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2007.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2014 Individual Medical",
      "identifier": "bb74019a-af2a-4eba-a88e-190c9241080b",
      "description": "Dataset.",
      "accessLevel": "public",
      "modified": "2025-08-01T04:00:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Individual Market Medical",
        "QHP",
        "Individual",
        "QHP Landscape Instructions",
        "PY2014"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/PY%202014%20Medical-Indi-Landscape-Inst.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2026 Individual Medical ",
      "identifier": "bbc0ecb6-03bb-4f3d-8721-dd5d2c4eefd8",
      "description": "The Medical Individual Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to consumers in the individual market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment. ",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2026-08-04T04:00:00Z",
      "modified": "2026-08-26T14:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Individual Market Medical",
        "QHP",
        "Individual",
        "QHP Landscape Instructions",
        "PY2026"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2026/med-ind-lndscp-in.pdf",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Service Area PUF - PY2024",
      "identifier": "bbc5e308-377c-4a05-830e-0ef9b893dc01",
      "description": "The Service Area PUF (SA-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The SA-PUF contains issuer-level data on geographic service areas including state, county, and zip code.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2024-08-06T04:00:00Z",
      "modified": "2024-08-14T13:30:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2024",
        "Service Area",
        "Exchange PUF",
        "Marketplace PUF"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2024/service_area_PUF.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/cf346473-7a74-4ca7-a6cb-32c0bd943e89",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "implAuto_measureSearchInfo",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-05T18:10:13Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_implAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measureSearchInfo csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/measureSearchInfo.csv",
          "description": "{\"dataset\": \"measureSearchInfo\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "bbd82935-a2ad-54b9-ad95-fbbee436a4e7",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2024-01-15-to-2024-01-21",
      "identifier": "bbdcd2d0-13ac-4c1f-8670-914acb43b81e",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2024-01-22T16:25:44Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2024-01-15-to-2024-01-21",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-01-15-2024-to-01-21-2024.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2024 Dental SHOP",
      "identifier": "bcaea23a-7ece-4c8c-8e53-c1f10231eb95",
      "description": "The Dental SHOP Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2024-08-06T04:00:00Z",
      "modified": "2024-08-14T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2024",
        "QHP Landscape Instructions",
        "SHOP Market Dental",
        "SADP",
        "SHOP"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2024/den-shop-lndscp-in.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "bce0-b5db",
      "title": "Geriatric Medicine Office Visit Costs",
      "description": "Returns geriatric medicine office visit costs per zip code for new and established patients.",
      "keyword": [
        "Geriatric Medicine"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/56512463c9cd930d1784bab94fb7e116_1722902729/Geriatric_Medicine.csv",
          "mediaType": "text/csv",
          "title": "Geriatric_Medicine.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Geriatric Medicine Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/bce0-b5db"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "prodAuto_states",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-13T13:41:41Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "states csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/states.csv",
          "description": "{\"dataset\": \"states\", \"stage\": \"prodAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "bd43096f-1e66-5037-9100-4eb2aa907367",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard measure_value v3.9.9 (CMS Test)",
      "modified": "2025-11-25T21:03:55Z",
      "distribution": [],
      "identifier": "bd54f16d-ee3a-5204-a7bd-e868fbe38a57",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-11-06-to-2023-11-12",
      "identifier": "bd782837-31ac-41ae-9569-52182bc038e9",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-11-15T20:13:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-11-06-to-2023-11-12",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-11-06-2023-to-11-12-2023.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "bd7d-078a",
      "title": "Colorectal Surgery (Proctology) Office Visit Costs",
      "description": "Returns colorectal surgery (proctology) office visit costs per zip code for new and established patients.",
      "keyword": [
        "Colorectal Surgery (Proctology)"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/9410a43e6a0602517d74b3a8a61f4cce_1722902720/Colorectal_Surgery_Proctology.csv",
          "mediaType": "text/csv",
          "title": "Colorectal_Surgery_Proctology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Colorectal Surgery (Proctology) Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/bd7d-078a"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet measure v3.9.94 (CMS Development)",
      "identifier": "bdab949c-913c-53b1-935a-991453fd4f65",
      "modified": "2026-08-06T15:58:18Z",
      "distribution": [
        {
          "title": "CoreSet measure v3.9.94 (CMS Development)",
          "description": "CoreSet measure v3.9.94 (CMS Development)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.94/20260805/measure.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "bdd5-4a04",
      "title": "Advanced Heart Failure and Transplant Cardiology Office Visit Costs",
      "description": "Returns advanced heart failure and transplant cardiology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Advanced Heart Failure and Transplant Cardiology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/0d1cb3f16a5181acc5f88210b2cbb1b9_1722902711/Advanced_Heart_Failure_and_Transplant_Cardiology.csv",
          "mediaType": "text/csv",
          "title": "Advanced_Heart_Failure_and_Transplant_Cardiology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Advanced Heart Failure and Transplant Cardiology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/bdd5-4a04"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "bdsk-unrd",
      "title": "PLACES: ZCTA Data (GIS Friendly Format), 2020 release",
      "description": "This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 27 measures at the ZCTA level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2021-10-07",
      "issued": "2021-09-29",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "zcta",
        "gis",
        "behaviors",
        "outcomes",
        "prevalence",
        "places",
        "unhealthy",
        "prevention",
        "zip code"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: ZCTA Data (GIS Friendly Format), 2020 release",
          "description": "This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 27 measures at the ZCTA level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
          "accessURL": "https://data.cdc.gov/d/bdsk-unrd",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-ZCTA-Data-GIS-Friendly-Format-2020-release/bdsk-unrd/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2021-10-07",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/bdsk-unrd",
            "title": "PLACES: ZCTA Data (GIS Friendly Format), 2020 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: ZCTA Data (GIS Friendly Format) Series, 2020-2025",
          "description": "This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project from 2020-2025 in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States 50 states and the District of Columbia (DC) at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 02-19-2024-to-02-25-2024",
      "identifier": "be496f61-3e23-47aa-b442-2334a1fbe40a",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2024-02-26T15:23:23Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 02-19-2024-to-02-25-2024",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-02-19-2024-to-02-25-2024.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          }
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet state v3.9.97 (Implementation)",
      "identifier": "be80f45d-6dd9-56b9-b01e-1506bc875327",
      "modified": "2026-08-25T18:51:44Z",
      "distribution": [
        {
          "title": "CoreSet state v3.9.97 (Implementation)",
          "description": "CoreSet state v3.9.97 (Implementation)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.97/20260824/state.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 20210816 to 20210822",
      "identifier": "beaedcae-1ff6-4c66-b8e2-5ac43751436b",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2021-10-13T07:42:22Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rpt-drugs-aug-20210816-to-20210822.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan Attributes PUF - PY2024",
      "identifier": "bf8da239-095e-4481-bf60-1f3a9615ce0e",
      "description": "The Plan Attributes PUF (Plan-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The Plan-PUF contains plan variant-level data on maximum out of pocket payments, deductibles, health savings account (HSA) eligibility, and other plan attributes.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2024-08-06T04:00:00Z",
      "modified": "2024-08-14T13:30:01Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2024",
        "Plan Attributes",
        "Exchange PUF",
        "Marketplace PUF"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2024/plan_attributes_PUF.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/237ee5ee-34cb-485a-9bfc-d2c7006c4ef9",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Major Eligibility Group Information for Medicaid and CHIP Beneficiaries by Year",
      "identifier": "bffd757a-3ae9-42fc-809a-820c2919496b",
      "description": "This data set presents annual enrollment counts of Medicaid and CHIP beneficiaries by major eligibility group (children, adult expansion group, adult, aged, persons with disabilities, or COVID newly-eligible). There are three metrics presented: (1) the number of beneficiaries ever enrolled in each major eligibility group over the year (duplicated count); (2) the number of beneficiaries enrolled in each major eligibility group as of an individual’s last month of enrollment (unduplicated count); and (3) average monthly enrollment in each major eligibility group. \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues, making the data unusable for calculating these measures. To assess data quality, analysts used measures featured in the DQ Atlas. Data for a state and year are considered unusable or of high concern based on DQ Atlas thresholds for the topic Eligibility Group Code. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods.  \n \nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2025-10-20T12:34:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Major Eligibility Group",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Major Eligibility Group Information for Medicaid and CHIP Beneficiaries by Year",
          "description": "This data set presents annual enrollment counts of Medicaid and CHIP beneficiaries by major eligibility group (children, adult expansion group, adult, aged, persons with disabilities, or COVID newly-eligible). There are three metrics presented: (1) the number of beneficiaries ever enrolled in each major eligibility group over the year (duplicated count); (2) the number of beneficiaries enrolled in each major eligibility group as of an individual’s last month of enrollment (unduplicated count); and (3) average monthly enrollment in each major eligibility group. \r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues, making the data unusable for calculating these measures. To assess data quality, analysts used measures featured in the DQ Atlas. Data for a state and year are considered unusable or of high concern based on DQ Atlas thresholds for the topic Eligibility Group Code. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods.  \r\n \r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/MajorEligibilityGroup-anul-102025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/e564dbda-f0cb-4ee5-b4f6-68d7c8100186",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "binw-6h77",
      "title": "Military Health System (MHS) - Vision and Eye Health Surveillance System (VEHSS)",
      "description": "The Department of Defense Health Agencyâ€™s (DHA) Vision Center of Excellence (VCE) analyzed data from the MHS MART database on behalf of the VEHSS project.  MHS MART is a data management and reporting system used to support decision-making, health care analysis, and operational reporting. MART integrates various sources within MHS to provide a centralized repository for health care data, facilitating access to information that aids in managing health care services, resources, and performance across MHS.\n\nData are based on claims and encounter records in the MHS Management Analysis and Reporting Tool (MART) database. The population includes all active-duty and retired military members and their dependents in the MHS. The sample size is approximately 9.08 million persons.\n\nThese data are also available in the VEHSS Data Explorer, an interactive data visualization tool reporting prevalence information from more than 10 data sources: https://www.cdc.gov/vision-health-data/index.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vision and Eye Health Surveillance System",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Diabetes Translation (DDT)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-03-07",
      "issued": "2024-10-28",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vision & Eye Health"
        }
      ],
      "keyword": [
        "vision"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "Centers for Disease Control and Prevention and Department of Defense Health Agency's (DHA) Vision Center of Excellence (VCE)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "CDC Info"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Military Health System (MHS) - Vision and Eye Health Surveillance System (VEHSS)",
          "description": "The Department of Defense Health Agency's (DHA) Vision Center of Excellence (VCE) analyzed data from the MHS MART database on behalf of the VEHSS project.  MHS MART is a data management and reporting system used to support decision-making, health care analysis, and operational reporting. MART integrates various sources within MHS to provide a centralized repository for health care data, facilitating access to information that aids in managing health care services, resources, and performance across MHS.\n\nData are based on claims and encounter records in the MHS Management Analysis and Reporting Tool (MART) database. The population includes all active-duty and retired military members and their dependents in the MHS. The sample size is approximately 9.08 million persons.\n\nThese data are also available in the VEHSS Data Explorer, an interactive data visualization tool reporting prevalence information from more than 10 data sources: https://www.cdc.gov/vision-health-data/index.html",
          "accessURL": "https://data.cdc.gov/d/binw-6h77",
          "downloadURL": "https://data.cdc.gov/Vision-Eye-Health/Military-Health-System-MHS-Vision-and-Eye-Health-S/binw-6h77/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-03-07",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/binw-6h77",
            "title": "Military Health System (MHS) - Vision and Eye Health Surveillance System (VEHSS)"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2015 NV Individual Dental",
      "identifier": "brk5-3rpz",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-04-14T20:27:06Z",
      "modified": "2015-08-20T01:11:22Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "jrsmith",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_NV-Dent-Indi-Land-08-03-2015.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Transparency In Coverage PUF - PY2017",
      "identifier": "brrf-yhzh",
      "description": "The Transparency in Coverage PUF (TC-PUF) is one of the files that makes up the Marketplace PUF. The TC-PUF contains issuer-level claims, appeals, and active URL data. This PUF contains data from PY2015 for issuers participating in the Marketplace in PY2017.",
      "accessLevel": "public",
      "issued": "2016-11-30T15:37:26Z",
      "modified": "2017-02-24T13:54:18Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Jennings",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/transparency-in-coverage-puf-2017.brrf-yhzh.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/5efbe636-85c7-42fc-9f1f-44e335b0b1a9",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Complications and Deaths - State",
        "accessURL": "https://data.cms.gov/provider-data/dataset/bs2r-24vh"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Complications",
        "Death",
        "Mortality",
        "Hip Knee",
        "PSI",
        "State"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "bs2r-24vh",
      "description": "Complications and deaths - state data. This data set includes state-level data for the hip/knee complication measure, the CMS Patient Safety Indicators, and 30-day death rates.",
      "title": "Complications and Deaths - State",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/247bb4364e310313773d74ccb0fb3231_1785189948/Complications_and_Deaths-State.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "bumh-rgsq",
      "title": "Non-Medical Factor Measures for ZCTA, ACS 2017-2021",
      "description": "This dataset contains ZCTA-level non-medical factor measures from the American Community Survey 5-year data for the entire United Statesâ€”50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-10-26",
      "issued": "2023-10-20",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "places",
        "acs",
        "estimates",
        "non-medical factor",
        "zcta"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Non-Medical Factor Measures for ZCTA, ACS 2017-2021",
          "description": "This dataset contains ZCTA-level non-medical factor measures from the American Community Survey 5-year data for the entire United Statesâ€”50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",
          "accessURL": "https://data.cdc.gov/d/bumh-rgsq",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/Non-Medical-Factor-Measures-for-ZCTA-ACS-2017-2021/bumh-rgsq/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-10-26",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/bumh-rgsq",
            "title": "Non-Medical Factor Measures for ZCTA, ACS 2017-2021"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "bwx3-gx66",
      "title": "Medicaid Claims (MAX) - Vision and Eye Health Surveillance",
      "description": "2016-2022. This dataset is a de-identified summary table of prevalence rates for vision and eye health data indicators from the Medicaid Analytic eXtract (MAX) data. Medicaid MAX are a set of de-identified person-level data files with information on Medicaid eligibility, service utilization, diagnoses, and payments. The MAX data contain a convenience sample of claims processed by Medicaid and Childrenâ€™s Health Insurance Program (CHIP) fee for service and managed care plans.  Not all states are included in MAX in all years, and as of November 2019, 2014 data is the latest available.  Prevalence estimates are stratified by all available combinations of age group, sex, and state.  Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicaid MAX webpage (cdc.gov/visionhealth/vehss/data/claims/medicaid.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicaid MAX dataset was last updated May 2023.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vision and Eye Health Surveillance System",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Diabetes Translation (DDT)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-01-12",
      "issued": "2019-08-20",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vision & Eye Health"
        }
      ],
      "keyword": [
        "medical diagnoses",
        "service utilization",
        "screening",
        "medicaid",
        "max",
        "eye exams",
        "diagnosed prevalence",
        "claims"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "DDT Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Medicaid Claims (MAX) - Vision and Eye Health Surveillance",
          "description": "2016-2022. This dataset is a de-identified summary table of prevalence rates for vision and eye health data indicators from the Medicaid Analytic eXtract (MAX) data. Medicaid MAX are a set of de-identified person-level data files with information on Medicaid eligibility, service utilization, diagnoses, and payments. The MAX data contain a convenience sample of claims processed by Medicaid and Children's Health Insurance Program (CHIP) fee for service and managed care plans.  Not all states are included in MAX in all years, and as of November 2019, 2014 data is the latest available.  Prevalence estimates are stratified by all available combinations of age group, sex, and state.  Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicaid MAX webpage (cdc.gov/visionhealth/vehss/data/claims/medicaid.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicaid MAX dataset was last updated May 2023.",
          "accessURL": "https://data.cdc.gov/d/bwx3-gx66",
          "downloadURL": "https://data.cdc.gov/Vision-Eye-Health/Medicaid-Claims-MAX-Vision-and-Eye-Health-Surveill/bwx3-gx66/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-01-12",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/bwx3-gx66",
            "title": "Medicaid Claims (MAX) - Vision and Eye Health Surveillance"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "MLR RY2015 Socrata Dataset 10272016",
      "identifier": "bx9c-fkxn",
      "description": "This file contains Medical Loss Ratio data for the 2015 Reporting Year, including the issuer’s MLR, the MLR standard, and the average rebate per family by state and market.",
      "accessLevel": "public",
      "issued": "2016-12-08T20:30:04Z",
      "modified": "2016-12-14T13:35:44Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Zack Sarver",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "theme": [
        "MLR"
      ],
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/mlr-ry2015-socrata-dataset-10272016.bx9c-fkxn.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/ae26b41c-5c2c-43d5-afa0-e8a559651be3",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan ID Crosswalk PUF - PY2018",
      "identifier": "bzfi-sbe4",
      "description": "The Plan ID Crosswalk PUF (CW-PUF) is one of the files that make up the Marketplace PUF. The purpose of the CW-PUF is to map QHPs and SADPs offered through the Marketplaces in 2017 to plans that will be offered through the Marketplaces in 2018. These data either originate from the Plan Crosswalk template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).This data dictionary describes the variables contained in the CW-PUF. Each record relates to a mapping between a plan offered in 2017 and a plan offered in 2018 at the county or county-zip code level.",
      "accessLevel": "public",
      "issued": "2017-10-25T16:08:51Z",
      "modified": "2017-11-22T16:39:40Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Jennings",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/plan-id-crosswalk-puf-2018.bzfi-sbe4.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/48cf05b5-459c-4fbf-8d98-d619dcc9e28c",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Data Updates",
        "accessURL": "https://data.cms.gov/provider-data/dataset/bzsr-4my4"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-07-15",
      "released": "2026-08-13",
      "keyword": [
        "General Information"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "bzsr-4my4",
      "description": "Lists the data updates for a scheduled quarterly refresh and as well those that are updated in between refreshes.",
      "title": "Data Updates",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/f751bebc45c1ee84120ea833308faef2_1785189971/Data_Updates_July_2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 04-06-2026 to 04-12-2026",
      "identifier": "c0672ad2-a302-447c-bc70-fb7c5c0d432c",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2026-04-13T18:23:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-04-06-2026-to-04-12-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2025 Individual Dental",
      "identifier": "c0b5f0c0-87d8-4a3f-b637-b114e482d329",
      "description": "The Dental Individual Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to consumers in the individual market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2025-08-06T04:00:00Z",
      "modified": "2025-08-12T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Individual",
        "Individual Market Dental",
        "SADP",
        "QHP Landscape Instructions",
        "PY2025"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2025/den-ind-lndscp-in.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Managed Care Information for Medicaid and CHIP Beneficiaries by Year",
      "identifier": "c0bef49e-46ea-4b9d-9153-76b4078d58b7",
      "description": "This data set presents annual enrollment counts of Medicaid and CHIP beneficiaries by managed care participation (comprehensive managed care, primary care case management, MLTSS, including PACE, behavioral health organizations, nonmedical prepaid health plans, medical-only prepaid health plans, and other). There are three metrics presented: (1) the number of beneficiaries ever enrolled in each managed care plan type over the year (duplicated count); (2) the number of beneficiaries enrolled in each managed care plan type as of an individual’s last month of enrollment (duplicated count); and (3) average monthly enrollment in each managed care plan type.  \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some cells have a value of “DS”. Some states have serious data quality issues, making the data unusable for calculating these measures. To assess data quality, analysts used measures featured in the DQ Atlas. Data for a state and year are considered unusable or of high concern based on DQ Atlas thresholds for the topics Enrollment in CMC, Enrollment in PCCM Programs, and Enrollment in BHO Plans. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods.\n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2025-10-20T13:16:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Managed Care",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Managed Care Information for Medicaid and CHIP Beneficiaries by Year",
          "description": "This data set presents annual enrollment counts of Medicaid and CHIP beneficiaries by managed care participation (comprehensive managed care, primary care case management, MLTSS, including PACE, behavioral health organizations, nonmedical prepaid health plans, medical-only prepaid health plans, and other). There are three metrics presented: (1) the number of beneficiaries ever enrolled in each managed care plan type over the year (duplicated count); (2) the number of beneficiaries enrolled in each managed care plan type as of an individual’s last month of enrollment (duplicated count); and (3) average monthly enrollment in each managed care plan type.  \r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some cells have a value of “DS”. Some states have serious data quality issues, making the data unusable for calculating these measures. To assess data quality, analysts used measures featured in the DQ Atlas. Data for a state and year are considered unusable or of high concern based on DQ Atlas thresholds for the topics Enrollment in CMC, Enrollment in PCCM Programs, and Enrollment in BHO Plans. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods.\r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/ManagedCare-anul-102025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/42b2ec7f-2594-4f33-b0d8-0f1d2801b255",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2017 Child and Adult Health Care Quality Measures",
      "identifier": "c1028fdf-2e43-5d5e-990b-51ed03428625",
      "description": "Performance rates on frequently reported health care quality measures in the CMS Medicaid/CHIP Child and Adult Core Sets, for FFY 2017 reporting.  Source: Mathematica analysis of MACPro and Form CMS-416 reports for the FFY 2017 reporting cycle. For more information, see the <a href=\"https://www.medicaid.gov/medicaid/quality-of-care/performance-measurement/child-core-set/index.html\">Children's Health Care Quality Measures</a> and <a href=\"https://www.medicaid.gov/medicaid/quality-of-care/performance-measurement/adult-core-set/index.html\">Adult Health Care Quality Measures</a> webpages.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "issued": "2018-08-08T21:21:28Z",
      "modified": "2019-08-05T17:33:44Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "theme": [
        "Quality"
      ],
      "keyword": [
        "Performance Rates",
        "Core Sets",
        "Quality Measures"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/2017-child-and-adult-health-care-quality-measures.y7g4-qir6.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 20211018 to 20211024",
      "identifier": "c1428b7a-16de-4bfb-88c3-6e2d9be2c9cb",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-10-18T00:57:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rpt-drugs-aug-20211018-to-20211024-101725.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "c14e-6492",
      "title": "Diagnostic Radiology Office Visit Costs",
      "description": "Returns diagnostic radiology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Diagnostic Radiology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/3fae2513816b319dc754ff9c46d5f04c_1722902723/Diagnostic_Radiology.csv",
          "mediaType": "text/csv",
          "title": "Diagnostic_Radiology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Diagnostic Radiology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/c14e-6492"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID Testing  and Testing-Related  Services Provided to Medicaid and CHIP Beneficiaries",
      "identifier": "c1c4b0cf-c957-4b00-bcf4-c0905045a5b3",
      "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of COVID-19 testing services provided to Medicaid and CHIP beneficiaries, by state. \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating COVID-19 testing services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T14:54:21Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "COVID-19",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "COVID Testing  and Testing-Related  Services Provided to Medicaid and CHIP Beneficiaries",
          "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of COVID-19 testing services provided to Medicaid and CHIP beneficiaries, by state. \r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating COVID-19 testing services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/COVID-Testing-and-Testing-Related-Services-Provided-to-MedicaidCHIP-Beneficiaries.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 09-29-2025-to-10-05-2025",
      "identifier": "c1e44de5-0495-4df9-80c7-abbef3cb4012",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-10-27T17:56:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-09-29-2025-to-10-05-2025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet measure_value v3.3.4 (etl-test)",
      "identifier": "c216cbc6-cea3-5111-94c2-c5059c2f94cf",
      "modified": "2025-05-05T20:57:36Z",
      "distribution": [
        {
          "title": "CoreSet measure_value v3.3.4 (etl-test)",
          "description": "CoreSet measure_value v3.3.4 (etl-test)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.3.4/20250110/measure_value.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_states_measures",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2026-02-02T20:37:24Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "states_measures csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20260120_e2e_ETL_DEV/states_measures.csv",
          "description": "{\"dataset\": \"states_measures\", \"stage\": \"devAuto\", \"update_id\": \"20260120_e2e_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "c21bff91-35f5-5333-9bf5-ffd895d96c6a",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt version v2.10.22 (coreset-impl)",
      "identifier": "c25ba6cf-541c-5090-9a4f-88f686bab55e",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-15T00:22:21Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt version v2.10.22 (coreset-impl)",
          "description": "CoreSEt version v2.10.22 (coreset-impl)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/2.10.22/20241029/version.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2025"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2025 payments grouped by covered recipient and nature of payments",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_CR_BY_NTR_OF_PYMT_PGYR2025_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "c32fc4ae-7aaf-46af-975f-55d6ca4230f1",
      "title": "2025 payments grouped by covered recipient and nature of payments",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2025-01-01",
          "endDate": "2025-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "c382-eab7",
      "title": "Orthopedic Surgery Office Visit Costs",
      "description": "Returns orthopedic surgery office visit costs per zip code for new and established patients.",
      "keyword": [
        "Orthopedic Surgery"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/576a4c5f12a959cec5419966ca112594_1722902752/Orthopedic_Surgery.csv",
          "mediaType": "text/csv",
          "title": "Orthopedic_Surgery.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Orthopedic Surgery Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/c382-eab7"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 1999",
      "identifier": "c39d3302-2d39-5209-9310-388ab1c8cbb8",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T14:20:33Z",
      "modified": "2026-04-03T14:51:30Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-1999.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
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        "name": "Office of Communications (OC)",
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
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      ],
      "bureauCode": [
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      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard measure_value v3.9.138 (Implementation)",
      "identifier": "c3d4ec55-f9ea-5b76-9eba-93cc3664c1f1",
      "modified": "2026-09-22T14:10:10Z",
      "distribution": [
        {
          "title": "Scorecard measure_value v3.9.138 (Implementation)",
          "description": "Scorecard measure_value v3.9.138 (Implementation)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.138/20260922/measure_value.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet pillar v3.9.97 (Production)",
      "identifier": "c407d189-9d2e-55a7-b0df-526f29fb96ba",
      "modified": "2026-09-21T23:50:29Z",
      "distribution": [
        {
          "title": "CoreSet pillar v3.9.97 (Production)",
          "description": "CoreSet pillar v3.9.97 (Production)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.97/20260824/pillar.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Localities for 2023",
      "identifier": "c4225a3a-4abe-40a4-bb8c-65dcd1ebe8e8",
      "description": "2023: The CY 2023 Medicare Physician Fee Schedule has been updated by the annual PFS Final Rule for various new policies and for new and existing CPT/HCPCS codes for this latest calendar year. This includes implementing all recent legislation as directed by Congress and enacted by the Consolidated Appropriations Act (CAA) of 2023, signed into law of December 29, 2022, of which becomes effective starting January 1, 2023, with PFS conversion factor of $33.8872. The Geographic Practice Cost Index (GPCI) work floor of 1.0 continues to be extended through to the end of CY 2023. ",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P3M",
      "issued": "2023-01-01",
      "modified": "2023-07-03",
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "keyword": [
        "localities",
        "2023"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2023-06-20.csv"
        }
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "c44d-bde6",
      "title": "Hand Surgery Office Visit Costs",
      "description": "Returns hand surgery office visit costs per zip code for new and established patients.",
      "keyword": [
        "Hand Surgery"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/6fbe2bcd4ffd11573c46ea2095647f85_1722902731/Hand_Surgery.csv",
          "mediaType": "text/csv",
          "title": "Hand_Surgery.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Hand Surgery Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/c44d-bde6"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Disproportionate Share Hospital (DSH) Payments - Annual Reporting Requirements",
      "identifier": "c491f14b-6dd5-5e00-9e8d-0c49420e7caa",
      "description": "Federal law requires that state Medicaid programs make Disproportionate Share Hospital (DSH) payments to qualifying hospitals that serve a large number of Medicaid and uninsured individuals. State-specific annual DSH reports are posted as submitted by states based on their availability.\n\nFor more information, visit https://www.medicaid.gov/medicaid/finance/dsh/index.html.",
      "accessLevel": "public",
      "issued": "2018-01-18T13:39:38Z",
      "modified": "2019-01-24T18:19:56Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Jeff Chamblee",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/disproportionate-share-hospital-dsh-payments-annual-reporting-requirements.88ti-fz9c.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2025 Dental SHOP",
      "identifier": "c4b9735c-68d0-4f8e-9563-cba97783618e",
      "description": "The Dental SHOP Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2025-08-06T04:00:00Z",
      "modified": "2025-08-12T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "SHOP",
        "SADP",
        "SHOP Market Dental",
        "QHP Landscape Instructions",
        "PY2025"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2025/den-shop-lndscp-in.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet version v3.9.94 (CMS Development)",
      "identifier": "c4bc3468-b66c-5329-9c18-bc76ddc57859",
      "modified": "2026-08-06T15:58:18Z",
      "distribution": [
        {
          "title": "CoreSet version v3.9.94 (CMS Development)",
          "description": "CoreSet version v3.9.94 (CMS Development)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.94/20260805/version.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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        "subOrganizationOf": [
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            "@type": "Organization",
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          }
        ]
      },
      "programCode": [
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      ],
      "bureauCode": [
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      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard MEASURE vCORESET.1.1-test (coreset-local)",
      "modified": "2024-05-07T13:23:11Z",
      "distribution": [
        {
          "title": "Scorecard MEASURE vCORESET.1.1-test (coreset-local)",
          "description": "Scorecard MEASURE vCORESET.1.1-test (coreset-local)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/CORESET.1.1-test/20240430/MEASURE.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "c4bfc9fa-9248-5500-bcd6-07a471c8e959",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
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      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet measure v3.9.119 (Development)",
      "identifier": "c57ee71b-bbf2-5406-aef4-3ac15f0554ce",
      "modified": "2026-09-22T20:36:50Z",
      "distribution": [
        {
          "title": "CoreSet measure v3.9.119 (Development)",
          "description": "CoreSet measure v3.9.119 (Development)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.119/20260901/measure.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSEt measure v2.10.6 (coreset-etl-test)",
      "modified": "2024-10-24T17:53:34Z",
      "distribution": [
        {
          "title": "CoreSEt measure v2.10.6 (coreset-etl-test)",
          "description": "CoreSEt measure v2.10.6 (coreset-etl-test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.6/20241023/measure.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "c5a62c7c-5c25-5ba3-b3f3-82f7f9c5a9a3",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Pricing Comparison for Blood Disorder Treatments (Pricing as of 12/1/2025)",
      "identifier": "c5ac742e-cffa-4e04-a043-fb8324e5512c",
      "description": "The Reference Document link for the downable Blood Disorder Treatment Spreadsheet can be accessed below under the Additional Information table under Related Documents.",
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      "distribution": [
        {
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          "downloadURL": "https://download.medicaid.gov/data/Clotting-Factor-December-2025.csv",
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      "distribution": [
        {
          "title": "2022 state-level payment total and averages by Nature of Payment",
          "mediaType": "text/csv",
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          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_NTR_OF_PYMT_BY_STATE_SMRY_PGYR2022_P06302026_06032026.csv",
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      "title": "2022 state payment totals grouped by Nature of Payment for all years",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
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      "distribution": [
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      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
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      "description": "2005 Physician Fee Schedule Data",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2005.csv",
          "mediaType": "text/csv",
          "format": "csv",
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      ],
      "identifier": "c6830f98-0e86-45b1-9e1e-928d941d9c1a",
      "keyword": [
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        "indicators"
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      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
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      ],
      "publisher": {
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      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2005-01-01",
          "endDate": "2005-12-31T11:59:59Z"
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      "title": "Indicators for 2005",
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    {
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      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
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      "modified": "2025-02-05T11:58:35Z",
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      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
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      },
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      "distribution": [
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          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rpt-drugs-mar-03-14-2022-03-20-2022.csv",
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    },
    {
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      "title": "Sports Medicine Office Visit Costs",
      "description": "Returns sports medicine office visit costs per zip code for new and established patients.",
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      "modified": "2024-08-05",
      "released": "2024-08-08",
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/9cb06dd078371a13e615e39dce99e254_1722902770/Sports_Medicine.csv",
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        "accessURL": "https://data.medicare.gov/provider-data/dataset/c713-00e8"
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      "contactPoint": {
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    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2026 Medical SHOP ",
      "identifier": "c75bbb11-b640-4022-bd19-547ff6a1b2f7",
      "description": "The Medical SHOP Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2026-08-04T04:00:00Z",
      "modified": "2026-08-10T14:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
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      "keyword": [
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        "SHOP Market Medical",
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      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2026/med-shop-lndscp-in.pdf",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
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      ],
      "bureauCode": [
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      "identifier": "c76y-7pzg",
      "title": "PLACES: ZCTA Data (GIS Friendly Format), 2022 release",
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      "contactPoint": [
        {
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          "hasEmail": "mailto:places@cdc.gov"
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      ],
      "publisher": {
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        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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      "modified": "2023-06-15",
      "issued": "2023-06-15",
      "theme": [
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          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
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      ],
      "keyword": [
        "risk",
        "health",
        "outcomes",
        "places",
        "prevalence",
        "behaviors",
        "gis",
        "zip code",
        "zcta",
        "status",
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      "spatial": [
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      },
      "rightsHolder": [
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          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
      "rights": [
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      ],
      "creator": {
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        "title": "PLACES Public Inquiries"
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      "distribution": [
        {
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          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 29 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "accessURL": "https://data.cdc.gov/d/c76y-7pzg",
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          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-06-15",
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          "accessRestriction": [
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              "@type": "UseRestriction",
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          "accessService": [
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      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: ZCTA Data (GIS Friendly Format) Series, 2020-2025",
          "description": "This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project from 2020-2025 in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States 50 states and the District of Columbia (DC) at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "c7b2-4ecy",
      "title": "PLACES: ZCTA Data (GIS Friendly Format), 2023 release",
      "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 36 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",
      "contactPoint": [
        {
          "@type": "Kind",
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      ],
      "publisher": {
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            ]
          }
        ]
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      "accessRights": "public",
      "modified": "2024-07-10",
      "issued": "2024-07-10",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "prevalence",
        "places",
        "outcomes",
        "health",
        "behaviors",
        "disability",
        "gis",
        "zip code",
        "zcta",
        "status",
        "risk",
        "prevention"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
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      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: ZCTA Data (GIS Friendly Format), 2023 release",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 36 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",
          "accessURL": "https://data.cdc.gov/d/c7b2-4ecy",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-ZCTA-Data-GIS-Friendly-Format-2023-release/c7b2-4ecy/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-07-10",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/c7b2-4ecy",
            "title": "PLACES: ZCTA Data (GIS Friendly Format), 2023 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: ZCTA Data (GIS Friendly Format) Series, 2020-2025",
          "description": "This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project from 2020-2025 in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States 50 states and the District of Columbia (DC) at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-07-31-to-2023-08-06",
      "identifier": "c85171aa-68dc-42eb-85c6-4a24fc3185a7",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-08-07T16:08:09Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
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          {
            "@type": "Organization",
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          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-07-31-to-2023-08-06",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-07-31-2023-to-08-06-2023.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "Home Health QRP Help Desk",
        "hasEmail": "mailto:HomeHealthQualityQuestions@cms.hhs.gov"
      },
      "description": "Home Health Care - Measure Date Range",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/0554ed5748e27ac1b39e70c9e46c79d9_1782764088/HH_MeasureDateRange_Jul2026.csv",
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            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/home_health/HHS_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "c886-nwpj",
      "issued": "2026-05-27",
      "keyword": [
        "General Information",
        "Quality",
        "Ratings",
        "Comparison",
        "Measure Dates",
        "Data Collection Period",
        "State",
        "Average",
        "Measures",
        "National",
        "Quality Reporting Program"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Home Health Care - Measure Date Range",
        "accessURL": "https://data.cms.gov/provider-data/dataset/c886-nwpj"
      },
      "modified": "2026-05-27",
      "programCode": [
        "009:000"
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          }
        ]
      },
      "released": "2026-07-15",
      "nextUpdateDate": "2026-10-21",
      "theme": [
        "Home health services"
      ],
      "title": "Home Health Care - Measure Date Range",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "c8a8-342e",
      "title": "Critical Care (Intensivists) Office Visit Costs",
      "description": "Returns critical care (intensivists) office visit costs per zip code for new and established patients.",
      "keyword": [
        "Critical Care (Intensivists)"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/e5c72925603621ced4c80432cc3bc8fb_1722902721/Critical_Care_Intensivists.csv",
          "mediaType": "text/csv",
          "title": "Critical_Care_Intensivists.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Critical Care (Intensivists) Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/c8a8-342e"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
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        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NADAC (National Average Drug Acquisition Cost) 2020",
      "identifier": "c933dc16-7de9-52b6-8971-4b75992673e0",
      "description": "National Average Drug Acquisition Cost (NADAC) weekly reference data for the calendar year.",
      "accessLevel": "public",
      "issued": "2014-11-07T15:55:00Z",
      "modified": "2021-08-23T17:59:01Z",
      "license": "https://www.usa.gov/government-works",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-01",
          "endDate": "2021-01-01"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "National Average Drug Acquisition Cost (NADAC)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/nadac-national-average-drug-acquisition-cost.a4y5-998d.c933dc16-7de9-52b6-8971-4b75992673e0.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/de58d5ec-4515-494e-ae3f-620200f72989",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "prodAuto_briefType",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
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      "publisher": {
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-13T13:41:41Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "briefType csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/briefType.csv",
          "description": "{\"dataset\": \"briefType\", \"stage\": \"prodAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "c9de5ddc-5651-5e76-83e1-e132e0826839",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2014 Individual Dental",
      "identifier": "c9pf-ens2",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2013-12-11T00:30:17Z",
      "modified": "2014-08-20T22:02:36Z",
      "publisher": {
        "@type": "Organization",
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        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/Individual_Market_Dental_8_11_14.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan Attributes PUF - PY2026 ",
      "identifier": "ca253298-c4ef-4a77-9c44-0de0bbe91941",
      "description": "The Plan Attributes PUF (Plan-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The Plan-PUF contains plan variant-level data on maximum out of pocket payments, deductibles, health savings account (HSA) eligibility, and other plan attributes. ",
      "accessLevel": "public",
      "issued": "2026-08-04T04:00:00Z",
      "modified": "2026-08-10T14:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Plan Attributes",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2026"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2026/plan_attributes_PUF.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt measure v2.10.16 (coreset-dev0)",
      "identifier": "cb4bb49c-2cae-510d-8220-caa48fe4f99e",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-12T22:26:05Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt measure v2.10.16 (coreset-dev0)",
          "description": "CoreSEt measure v2.10.16 (coreset-dev0)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.16/20241029/measure.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "implAuto_briefType",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
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      ],
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-05T18:10:13Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_implAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "briefType csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/briefType.csv",
          "description": "{\"dataset\": \"briefType\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "cb573493-01ed-531e-9a99-c1197f4db8e0",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_measure_compare",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
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      ],
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2026-02-02T20:37:24Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_compare csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20260120_e2e_ETL_DEV/measure_compare.csv",
          "description": "{\"dataset\": \"measure_compare\", \"stage\": \"devAuto\", \"update_id\": \"20260120_e2e_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "cb8d7614-bf80-5ffd-a166-4f3903f1ddd4",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan Attributes PUF - PY2022",
      "identifier": "cbfda538-6b7b-476a-a667-19212b853629",
      "description": "The Plan Attributes PUF (Plan-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The Plan-PUF contains plan variant-level data on maximum out of pocket payments, deductibles, health savings account (HSA) eligibility, and other plan attributes. ",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2022-08-10T13:00:00Z",
      "modified": "2022-08-17T13:30:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Plan Attributes",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2022"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2022/plan_attributes_puf.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/4b9bcd48-0d26-456f-9709-0799957d3292",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2020",
      "identifier": "cc318bfb-a9b2-55f3-a924-d47376b32ea3",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2020-07-30T20:23:33Z",
      "modified": "2026-07-13T16:16:50Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/sdud2020_updatedJuly2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "prodAuto_measure_compare",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-13T13:41:41Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_compare csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/measure_compare.csv",
          "description": "{\"dataset\": \"measure_compare\", \"stage\": \"prodAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "cc7f1f2d-8942-5b67-a9fe-e48033c972d2",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2024-01-22-to-2024-01-28",
      "identifier": "cc8fd7b9-87a4-4d32-ae81-aa37e84f81db",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2024-01-29T17:57:54Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2024-01-22-to-2024-01-28",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-01-22-2024-to-01-28-2024.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "ccbb-cbfa",
      "title": "Peripheral Vascular Disease Office Visit Costs",
      "description": "Returns peripheral vascular disease office visit costs per zip code for new and established patients.",
      "keyword": [
        "Peripheral Vascular Disease"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/7203271cbe620462471a316879d91d5b_1722902757/Peripheral_Vascular_Disease.csv",
          "mediaType": "text/csv",
          "title": "Peripheral_Vascular_Disease.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Peripheral Vascular Disease Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/ccbb-cbfa"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "cchw-gdwa",
      "title": "2022 Final Assisted Reproductive Technology (ART) Success Rates",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all â€œPatients using their own eggsâ€ or for â€œPatients with no prior ART using their own eggs.â€ For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parentâ€™s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered researchâ€”that is, cycles performed to evaluate new procedures.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National ART Surveillance System",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-12-18",
      "issued": "2016-05-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Assisted Reproductive Technology (ART)"
        }
      ],
      "keyword": [
        "art",
        "services",
        "infertility",
        "fertility",
        "clinic",
        "assisted reproductive technology",
        "success rates"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Reproductive Health (DRH)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "ARTINFO"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2022 Final Assisted Reproductive Technology (ART) Success Rates",
          "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all â€œPatients using their own eggsâ€ or for â€œPatients with no prior ART using their own eggs.â€ For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent's age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered researchâ€”that is, cycles performed to evaluate new procedures.",
          "accessURL": "https://data.cdc.gov/d/cchw-gdwa",
          "downloadURL": "https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2022-Final-Assisted-Reproductive-Technology-ART-Su/cchw-gdwa/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-12-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/cchw-gdwa",
            "title": "2022 Final Assisted Reproductive Technology (ART) Success Rates"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Final Assisted Reproductive Technology (ART) Success Rates Series",
          "description": "The ART Success Rates dataset series contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "Home Health CAHPS Helpdesk",
        "hasEmail": "mailto:hhcahps@rti.org"
      },
      "description": "Patient Data for Home Health Care (HHCAHPS) for 2025Q1 to 2025Q4",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/706e7ad48548f6f3893109f403dd9fd8_1782764088/HHCAHPS_Provider_Jul2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/home_health/HHS_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "ccn4-8vby",
      "issued": "2026-06-10",
      "keyword": [
        "Patient Survey",
        "CAHPS",
        "Medicare",
        "Patient Experience of Care",
        "Provider Data",
        "Average"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Home Health Care - Patient Survey (HHCAHPS) 2025Q1 to 2025Q4",
        "accessURL": "https://data.cms.gov/provider-data/dataset/ccn4-8vby"
      },
      "modified": "2026-06-10",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "released": "2026-07-15",
      "nextUpdateDate": "2026-10-21",
      "theme": [
        "Home health services"
      ],
      "title": "Home Health Care - Patient Survey (HHCAHPS) 2025Q1 to 2025Q4",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "cd1d-5f84",
      "title": "Micrographic Dermatologic Surgery Office Visit Costs",
      "description": "Returns micrographic dermatologic surgery office visit costs per zip code for new and established patients.",
      "keyword": [
        "Micrographic Dermatologic Surgery"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/b520953b8dfd04683444a3bef8a8b36a_1722902743/Micrographic_Dermatologic_Surgery.csv",
          "mediaType": "text/csv",
          "title": "Micrographic_Dermatologic_Surgery.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Micrographic Dermatologic Surgery Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/cd1d-5f84"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 08-31-2026 to 09-06-2026",
      "identifier": "cd491b2d-3ca2-4ef6-936c-6a38b2b030eb",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.\nLast Update: input the date and time of saving this content page.",
      "accessLevel": "public",
      "modified": "2026-09-08T13:02:17Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-08-31-2026-to-09-06-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "prodAuto_tafVersion",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-13T13:41:41Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "tafVersion csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/tafVersion.csv",
          "description": "{\"dataset\": \"tafVersion\", \"stage\": \"prodAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "cd577ff7-f5a3-599d-9fc9-102d5e220d7c",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 09-07-2026 to 09-13-2026",
      "identifier": "cd901c8b-0531-4bf4-8a2d-19762a73d28f",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2026-09-14T13:30:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-09-07-2026-to-09-13-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Continuous Eligibility for Medicaid and CHIP Coverage",
      "identifier": "cdb769be-0d7b-524b-9d25-2062d36b60ab",
      "description": "States have the option to provide children with 12 months of continuous coverage through Medicaid and CHIP, even if the family experiences a change in income during the year. Continuous eligibility is a valuable tool that helps States ensure that children stay enrolled in the health coverage for which they are eligible and have consistent access to needed health care services.",
      "accessLevel": "public",
      "issued": "2016-07-13T18:17:34Z",
      "modified": "2018-12-20T21:41:33Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "theme": [
        "Eligibility"
      ],
      "keyword": [
        "Continuous Eligibility",
        "Enrollment Strategies"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
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    },
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        "https://www.mathematica.org/"
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      "distribution": [
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    },
    {
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      "identifier": "cfa7-e909",
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    {
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          "mediaType": "text/csv",
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      ],
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    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 06-22-2026 to 06-28-2026",
      "identifier": "cfe22e10-9ad3-471f-b432-579b8d84f830",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
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        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-06-22-2026-to-06-28-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Catastrophic Plans for People with Cancelled Policies",
      "identifier": "cfvf-wask",
      "description": "This dataset includes individual catastrophic health plans available outside the Marketplace. They are available to people whose individual health plans have been cancelled and who believe that bronze-level plans in the Marketplace are too expensive. These people may apply for a hardship exemption that allows them to buy one of these plans. Not all states offer catastrophic plans outside the Marketplace. People who live in states that run their own Marketplaces may be able to participate in this program. In states with state-based Marketplaces that do offer catastrophic plans, the dataset includes listings for state departments of insurance, which can provide more information.",
      "accessLevel": "public",
      "issued": "2013-12-19T17:36:27Z",
      "modified": "2014-04-16T17:32:54Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/catastrophic-plans-for-people-with-cancelled-policies.cfvf-wask.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/af8382dc-5bfb-499a-9fd9-2ac01563e536",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan Attributes PUF - PY2019",
      "identifier": "ci52-tugt",
      "description": "The Plan Attributes PUF (Plan-PUF) is one of the files that make up the Marketplace PUF. The Plan-PUF contains plan-level data on maximum out of pocket payments, deductibles, cost sharing, health savings account (HSA) eligibility, formulary ID, and other plan attributes. These data either originate from the Plans &amp; Benefits template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated). The issuer can also import data created in other templates (e.g., Network IDs from the Network ID template, Service Area IDs from the Service Area template, and Formulary IDs from the Prescription Drug template) to use as allowable values for the applicable fields in the Plans &amp; Benefits template, or enter these values manually.",
      "accessLevel": "public",
      "issued": "2018-10-25T12:32:26Z",
      "modified": "2019-10-21T20:11:55Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Jennings",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/plan-attributes-puf-2019.ci52-tugt.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/43e907db-526d-4b6e-9306-8b7d6b772316",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan ID Crosswalk PUF - PY2019",
      "identifier": "ciet-nbd9",
      "description": "The Plan ID Crosswalk PUF (CW-PUF) is one of the files that make up the Marketplace PUF. The purpose of the CW-PUF is to map QHPs and SADPs offered through the Marketplaces in 2018 to plans that will be offered through the Marketplaces in 2019. These data either originate from the Plan Crosswalk template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).This data dictionary describes the variables contained in the CW-PUF. Each record relates to a mapping between a plan offered in 2018 and a plan offered in 2019 at the county or county-zip code level.",
      "accessLevel": "public",
      "issued": "2018-10-25T12:35:44Z",
      "modified": "2018-11-05T19:16:34Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Jennings",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/plan-id-crosswalk-puf-2019.ciet-nbd9.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/1a5b21bb-eb32-4e1f-b7ec-0a4762beafc7",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "cj8b-94cj",
      "title": "PLACES: Place Data (GIS Friendly Format), 2021 release",
      "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-10-04",
      "issued": "2022-10-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "prevalence",
        "status",
        "risk",
        "prevention",
        "places",
        "place",
        "outcomes",
        "health",
        "gis",
        "city",
        "behaviors"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Place Data (GIS Friendly Format), 2021 release",
          "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",
          "accessURL": "https://data.cdc.gov/d/cj8b-94cj",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Place-Data-GIS-Friendly-Format-2021-release/cj8b-94cj/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2022-10-04",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/cj8b-94cj",
            "title": "PLACES: Place Data (GIS Friendly Format), 2021 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Place Data (GIS Friendly Format) Series, 2020-2025",
          "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "ESRD QIP - Clinical Depression Screening and Follow-up - Payment Year 2026",
        "accessURL": "https://data.cms.gov/provider-data/dataset/clinical_depression"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2021-01-20",
      "@type": "Dataset",
      "modified": "2025-12-15",
      "released": "2026-01-21",
      "keyword": [
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "ESRD QIP Helpdesk",
        "hasEmail": "mailto:ESRDQIP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "clinical_depression",
      "description": "This dataset includes facility details, measure score, and the state and national average measure scores for the clinical depression screening and follow up reporting measure included in the PY 2026 ESRD QIP.",
      "title": "ESRD QIP - Clinical Depression Screening and Follow-up - Payment Year 2026",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/2c0e67025b8a6b48ee2cda52f1b26498_1767139544/CLINICAL_DEPRESSION.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "ESRD QIP - Complete QIP Data - Payment Year 2026",
        "accessURL": "https://data.cms.gov/provider-data/dataset/complete_qip_data"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2021-01-20",
      "@type": "Dataset",
      "modified": "2025-12-15",
      "released": "2026-01-21",
      "keyword": [
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "ESRD QIP Helpdesk",
        "hasEmail": "mailto:ESRDQIP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "complete_qip_data",
      "description": "This dataset includes facility details, the number of eligible cases, numerator, denominator, performance rates, and measure score for each clinical measure and the measure score for each reporting measure included in the PY 2026 ESRD QIP.",
      "title": "ESRD QIP - Complete QIP Data - Payment Year 2026",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/790f49d5180f345bcfecf8917edb3e06_1767139546/COMPLETE_QIP_DATA.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "ESRD QIP - Covid-19 healthcare personnel Data - Payment Year 2026",
        "accessURL": "https://data.cms.gov/provider-data/dataset/covid-19_hcp"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-01-15",
      "@type": "Dataset",
      "modified": "2025-12-15",
      "released": "2026-01-21",
      "keyword": [
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "ESRD QIP Helpdesk",
        "hasEmail": "mailto:ESRDQIP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "covid-19_hcp",
      "description": "This dataset includes facility details, measure score, and the state and national average measure scores for the COVID-19 HCP Vaccination reporting measure included in the PY 2026 ESRD QIP.",
      "title": "ESRD QIP - Covid-19 healthcare personnel Data - Payment Year 2026",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/8d3c8a2336ea7917611026b44cbaced5_1767139547/COVID-19_HCP.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "cpem-dkkm",
      "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data (2011 to 2012)",
      "description": "2011 to 2012. BRFSS SMART County Prevalence combined land line and cell phone data.  The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected counties with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Behavioral Risk Factor Surveillance System",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2016-03-11",
      "issued": "2015-06-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Behavioral Risk Factors"
        }
      ],
      "keyword": [
        "county",
        "factor",
        "risk",
        "smart",
        "survey",
        "behavioral",
        "brfss"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/brfss/",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/brfss/",
        "title": "DPH Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data (2011 to 2012)",
          "description": "2011 to 2012. BRFSS SMART County Prevalence combined land line and cell phone data.  The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected counties with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",
          "accessURL": "https://data.cdc.gov/d/cpem-dkkm",
          "downloadURL": "https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factors-Selected-Metropolitan-Area/cpem-dkkm/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2016-03-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/cpem-dkkm",
            "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data (2011 to 2012)"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data Series",
          "description": "BRFSS SMART County Prevalence combined land line and cell phone data.  The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected counties with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2014 Individual Dental",
      "identifier": "cpmk-xcsy",
      "description": "QHP Landscape Individual Market Dental - For instructions on how to read and use this data, please view the documentation available under the ‘About’ tab on this page.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2013-11-27T22:14:15Z",
      "modified": "2014-08-20T21:49:23Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/qhp-landscape-individual-market-dental.cpmk-xcsy.csv",
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            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e9f5c38c-56fc-4eb9-bf65-852e1e359940",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "references": [
        "https://data.healthcare.gov/sites/default/files/Dental-Indi-Landscape-Inst-1.pdf",
        "https://data.healthcare.gov/sites/default/files/Dental-Indi-Landscape-Inst.pdf"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Service Area PUF - PY2021",
      "identifier": "cqrd-buzn",
      "description": "The Service Area PUF (SA-PUF) is one of the files that make up the Marketplace PUF. The SA-PUF contains issuer-level data on the geographic coverage or service area (i.e., where the plan is offered) including state, county, and zip code. These data either originate from the Service Area template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2020-10-09T15:46:55Z",
      "modified": "2021-08-11T12:59:25Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andy Elkins",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/service-area-puf-2021.cqrd-buzn.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/cf346473-7a74-4ca7-a6cb-32c0bd943e89",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Medical Equipment Suppliers",
        "accessURL": "https://data.cms.gov/provider-data/dataset/ct36-nrcq"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-17",
      "@type": "Dataset",
      "modified": "2026-09-27",
      "released": "2026-09-27",
      "keyword": [
        "Medical equipment",
        "Supplies",
        "Supplier"
      ],
      "contactPoint": {
        "fn": "Supplier",
        "hasEmail": "mailto:PPL_datacatalog@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "ct36-nrcq",
      "description": "A list of Suppliers that indicates the supplies carried at that location and the supplier's Medicare participation status.",
      "title": "Medical Equipment Suppliers",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/3b76abb9b6f610373563b5ef08bb0d81_1790468146/Medical-Equipment-Suppliers.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/supplier/Supplier_Directory_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Supplier directory"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 Individual Dental",
      "identifier": "ctt7-ra7n",
      "description": "For instructions on how to read and use this data, visit: https://data.healthcare.gov/download/szvd-caa9/application/pdf",
      "accessLevel": "public",
      "issued": "2014-11-13T18:07:19Z",
      "modified": "2015-08-20T00:10:39Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qhp-landscape-individual-market-dental.ctt7-ra7n.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e9f5c38c-56fc-4eb9-bf65-852e1e359940",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Service Area PUF - PY2015",
      "identifier": "cuxs-34br",
      "description": "The Service Area PUF (SA-PUF) is one of the seven files that make up the Marketplace PUF. The SA-PUF contains issuer-level data on the geographic coverage or service area (i.e., where the plan is offered) including state, county, and zip code. These data either originate from the Service Area template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2014-11-26T20:35:50Z",
      "modified": "2017-12-11T22:47:26Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/service-area-puf.cuxs-34br.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e6d3b6f1-1860-48d6-9341-63e7c2e8fb44",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Unplanned Hospital Visits - National",
        "accessURL": "https://data.cms.gov/provider-data/dataset/cvcs-xecj"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Unplanned Hospital Visits",
        "Readmissions",
        "Excess Days in Acute Care",
        "National",
        "Outpatient Surgery",
        "Outpatient",
        "Pneumonia",
        "Acute Myocardial Infarction",
        "Heart Failure",
        "Chronic Obstructive Pulmonary Disease",
        "Coronary Artery Bypass Graft",
        "Colonoscopy",
        "Total Hip and/or Total Knee Arthroplasty"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "cvcs-xecj",
      "description": "Unplanned Hospital Visits: national data. This data set includes national-level data for the hospital return days (or excess days in acute care [EDAC]) measures, the unplanned readmissions measures, and measures of unplanned hospital visits after outpatient procedures.",
      "title": "Unplanned Hospital Visits - National",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/d30b0557f1d06bee1d5646d2eaede709_1785189969/Unplanned_Hospital_Visits-National.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "cwsq-ngmh",
      "title": "PLACES: Local Data for Better Health, Census Tract Data, 2025 release",
      "description": "This dataset contains model-based census tract estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-12-12",
      "issued": "2020-10-19",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "outcomes",
        "social needs",
        "status",
        "places",
        "prevalence",
        "prevention",
        "risk",
        "brfss",
        "census tract",
        "disability",
        "health",
        "behaviors"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, Census Tract Data, 2025 release",
          "description": "This dataset contains model-based census tract estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/cwsq-ngmh",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/cwsq-ngmh/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-12",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/cwsq-ngmh",
            "title": "PLACES: Local Data for Better Health, Census Tract Data, 2025 release"
          },
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          ],
          "useRestriction": [
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              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
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              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
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                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
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                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Census Tract Data Series, 2020-2025",
          "description": "This dataset contains model-based census tract-level estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia (DC) at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "d0ce-5cad",
      "title": "Nuclear Medicine Office Visit Costs",
      "description": "Returns nuclear medicine office visit costs per zip code for new and established patients.",
      "keyword": [
        "Nuclear Medicine"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/31ee2cf3e0609ab6a307b7162341f05d_1722902747/Nuclear_Medicine.csv",
          "mediaType": "text/csv",
          "title": "Nuclear_Medicine.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Nuclear Medicine Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/d0ce-5cad"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
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        ]
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      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2026 Medical SHOP",
      "identifier": "d1241e9c-2a73-435c-afb0-f231645b63c8",
      "description": "The Medical SHOP Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment. ",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2026-08-04T04:00:00Z",
      "modified": "2026-08-10T14:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "QHP",
        "SHOP",
        "SHOP Market Medical",
        "QHP Landscape",
        "PY2026"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "zip",
          "downloadURL": "https://data.healthcare.gov/datafile/py2026/shop_market_medical.zip",
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        "009:38"
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      "inventoried": "2026-09-27"
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      "bureauCode": [
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      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
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      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
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      "keyword": [
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      "references": [
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      "title": "CoreSet measure_value v3.9.119 (Development)",
      "identifier": "d12a6469-b3df-5b52-a980-f7613823e8a3",
      "modified": "2026-09-22T20:36:50Z",
      "distribution": [
        {
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "d150-d141",
      "title": "Hematopoietic Cell Transplantation and Cellular Therapy Office Visit Costs",
      "description": "Returns hematopoietic cell transplantation and cellular therapy office visit costs per zip code for new and established patients.",
      "keyword": [
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      "issued": "2024-08-05",
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        {
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          "mediaType": "text/csv",
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        "accessURL": "https://data.medicare.gov/provider-data/dataset/d150-d141"
      },
      "theme": [
        "Physician office visit costs"
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      "accessLevel": "public",
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        "009:38"
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      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
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      "publisher": {
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      },
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "identifier": "d19e5be2-5b8c-562c-af22-c243503bcfac",
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
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      "accessLevel": "public",
      "keyword": [
        "2022"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "Maps secondary/duplicate provider profile IDs to the primary ID in the Open Payments system. For multiple reasons, a small number of providers have more than one ID in the payments records.",
      "distribution": [
        {
          "title": "Provider profile ID mapping table",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_PRVDR_PRFL_MAPPING_P06302026_06032026.csv",
          "@type": "Distribution",
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      ],
      "title": "Provider profile ID mapping table",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
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          "startDate": "2017-01-01",
          "endDate": "2023-12-31"
        }
      ],
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        ]
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      "theme": [
        "Summary"
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "d1c9-d5b4",
      "title": "Undefined Physician type Office Visit Costs",
      "description": "Returns undefined physician type office visit costs per zip code for new and established patients.",
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        "Undefined Physician type"
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      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
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          "title": "Undefined_Physician_type.csv"
        }
      ],
      "landingPage": {
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        "title": "Undefined Physician type Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/d1c9-d5b4"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
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        ]
      },
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Quality PUF - PY2026",
      "identifier": "d1d5aef7-0549-4173-b625-c0ace09c8634",
      "description": "The Quality PUF contains 2025 quality ratings data for eligible Qualified Health Plans in PY2026 in states on HealthCare.gov. Access the Quality PUF and Data Dictionary directly at https://www.cms.gov/media/656581.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "issued": "2025-10-28T20:30:00Z",
      "modified": "2025-10-28T20:30:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
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        ]
      },
      "contactPoint": {
        "fn": "Mei Zhang",
        "hasEmail": "mailto:mei.zhang@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
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          "description": "The Quality PUF contains 2025 quality ratings data for eligible Qualified Health Plans in PY2026 in states on HealthCare.gov. Access the Quality PUF and Data Dictionary directly at https://www.cms.gov/media/656581.",
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          "downloadURL": "https://data.healthcare.gov/datafile/PY2026_Quality_PUF.csv",
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            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/b241e316-1f6a-464b-86b4-57046a9df497",
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          },
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      ],
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      },
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      "bureauCode": [
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      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
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      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet filters v2.11.19-test (local)",
      "identifier": "d1e8f0b9-7dbb-5840-974a-959a45bd100e",
      "modified": "2025-02-05T11:58:35Z",
      "distribution": [
        {
          "title": "CoreSet filters v2.11.19-test (local)",
          "description": "CoreSet filters v2.11.19-test (local)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/2.11.19-test/20241107/filters.csv",
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          "format": "csv",
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      ],
      "@type": "Dataset",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "d226-80a4",
      "title": "Pediatric Medicine Office Visit Costs",
      "description": "Returns pediatric medicine office visit costs per zip code for new and established patients.",
      "keyword": [
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      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
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          "mediaType": "text/csv",
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        }
      ],
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        "accessURL": "https://data.medicare.gov/provider-data/dataset/d226-80a4"
      },
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        "Physician office visit costs"
      ],
      "accessLevel": "public",
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
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      ],
      "bureauCode": [
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      ],
      "publisher": {
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        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-05T18:10:13Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_implAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "states_measures_download csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/states_measures_download.csv",
          "description": "{\"dataset\": \"states_measures_download\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "d2469e00-b3f0-568b-8f66-658ee6e67c86",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "accessLevel": "public",
      "keyword": [
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      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2022 payments grouped by covered recipient and reporting entities",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_CR_BY_AMGPO_PGYR2022_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "d2d87f39-b117-4ac8-9f36-a088fb22a25b",
      "title": "2022 payments grouped by covered recipient and reporting entities",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
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          "startDate": "2022-01-01",
          "endDate": "2022-12-31"
        }
      ],
      "publisher": {
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        "subOrganizationOf": [
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Rural Emergency Hospital Timely and Effective Care - National",
        "accessURL": "https://data.cms.gov/provider-data/dataset/d2k3-k3ac"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-10-14",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Rural",
        "Emergency Hospital",
        "Emergency Department",
        "Timely and Effective Care",
        "National"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
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        "subOrganizationOf": [
          {
            "@type": "Organization",
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          }
        ]
      },
      "identifier": "d2k3-k3ac",
      "description": "This data set includes national-level data for timely and effective care (process of care) quality measures included under the Rural Emergency Hospital Quality Reporting (REHQR) Program.",
      "title": "Rural Emergency Hospital Timely and Effective Care - National",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/3e7a7fe925204d9f476690ad30ffcb28_1785189975/REH_Timely_and_Effective_Care-National.csv",
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            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "d2rk-yvas",
      "title": "Behavioral Risk Factor Surveillance System (BRFSS) Age-Adjusted Prevalence Data (2011 to present)",
      "description": "2011 to present. BRFSS combined land line and cell phone age-adjusted prevalence data. The BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. \nData will be updated annually as it becomes available.\n\nDetailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). \nMethodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf \nGlossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Behavioral Risk Factor Surveillance System",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-20",
      "issued": "2016-06-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Behavioral Risk Factors"
        }
      ],
      "keyword": [
        "age-adjusted",
        "survey",
        "behavioral",
        "risk",
        "factor",
        "brfss",
        "surveillance"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/BRFSS/",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Population Health Population Health Surveillance Branch"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/BRFSS/",
        "title": "DPH Public Inquiries"
      },
      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/d2rk-yvas",
          "downloadURL": "https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-A/d2rk-yvas/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-07-20",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/d2rk-yvas",
            "title": "Behavioral Risk Factor Surveillance System (BRFSS) Age-Adjusted Prevalence Data (2011 to present)"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Separate CHIP Enrollment by Month and State – Historic CAA/Unwinding Period",
      "identifier": "d30cfc7c-4b32-4df1-b2bf-e0a850befd77",
      "description": "<p>This historic dataset with total enrollment in separate CHIP programs by month and state was created to fulfill reporting requirements under section 1902(tt)(1) of the Social Security Act, which was added by section 5131(b) of subtitle D of title V of division FF of the Consolidated Appropriations Act, 2023 (P.L. 117-328) (CAA, 2023). For each month from April 1, 2023, through June 30, 2024, states were required to submit to CMS (on a timely basis), and CMS was required to make public, certain monthly data, including the total number of beneficiaries who were enrolled in a separate CHIP program. Accordingly, this historic dataset contains separate CHIP enrollment by month and state between April 2023 and June 2024.</p>\n<p>CMS will continue to publicly report separate CHIP enrollment by month and state (beyond the historic CAA/Unwinding period) in a new dataset, which is available at <a href=\"https://data.medicaid.gov/dataset/4723da0d-4d04-46ce-8163-e4b58c8fe728\">[link]</a>. Please note that the methods used to count separate CHIP enrollees differ slightly between the two datasets; as a result, data users should exercise caution if comparing separate CHIP enrollment across the two datasets.</p>\n<p><b>Sources:</b> T-MSIS Analytic Files (TAF) and state-submitted enrollment totals. The data notes indicate when a state’s monthly total was a state-submitted value, rather than from T-MSIS.<br /><br />TAF data were pulled as follows:<br />April 2023 enrollment - TAF as of August 2023<br />May 2023 enrollment - TAF as of August 2023<br />June 2023 enrollment - TAF as of September 2023<br />July 2023 enrollment - TAF as of October 2023<br />August 2023 enrollment - TAF as of November 2023<br />September 2023 enrollment - TAF as of December 2023<br />October 2023 enrollment - TAF as of January 2024<br />November 2023 enrollment - TAF as of February 2024<br />December 2023 enrollment - TAF as of March 2024<br />January 2024 enrollment - TAF as of April 2024<br />February 2024 enrollment - TAF as of May 2024<br />March 2024 enrollment - TAF as of June 2024<br />April 2024 enrollment – TAF as of July 2024<br />May 2024 enrollment – TAF as of August 2024<br />June 2024 enrollment – TAF as of September 2024</p>\t\n<p>TAF are produced one month after the T-MSIS submission month. For example, TAF as of August 2023 is based on July T-MSIS submissions.</p>\n<p><b>Notes:</b> The separate CHIP enrollment in this report is not inclusive of enrollees covered by Medicaid expansion CHIP. Enrollment includes individuals enrolled in separate CHIP at any point during the month but excludes those enrolled in both Medicaid and separate CHIP during the month. See the Data Sources and Metrics Definitions Overview document for a full description of the data sources, metric definitions, and general data limitations.<br /><br />Alaska, District of Columbia, Hawaii, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, South Carolina, Vermont, and Wyoming do not have separate CHIP Programs. Maryland has a separate CHIP program that began in July 2023; April 2023 - June 2023 data for Maryland represents retroactive coverage. <br /><br />This document includes separate CHIP data submitted to CMS by states via T-MSIS or a separate collection form. These data include reporting metrics consistent with section 1902(tt)(1) of the Social Security Act.<br /><br />CHIP: Children's Health Insurance Program</p>\t\n<p><b>Data notes:</b> \n(a) State-submitted value; data not from T-MSIS<br />(b1) May 2023 enrollment pulled from TAF as of September 2023<br />(b2) Data was restated using TAF as of October 2023<br />(b3) Data was restated using TAF as of April 2024<br />(b4) Data was restated using TAF as of July 2024<br />(b5) Data was restated using TAF as of August 2024<br />(c) Enrollment counts include postpartum women with coverage funded via a Health Services Initiative</p>",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1M",
      "issued": "2023-09-29T19:32:13Z",
      "modified": "2024-12-27T18:57:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Unwinding",
        "Enrollment"
      ],
      "keyword": [
        "Program Enrollment",
        "Child Enrollment",
        "Eligibility Determinations",
        "Applications",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/chip-caa-reporting-metrics-long-table-november-2024-release.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/78e76fde-f054-40f9-834a-2842a54cdc03",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/chip-caa-reporting-metrics-long-table-november-2024-release.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Pricing Comparison for Blood Disorder Treatments (Pricing as of 06/1/2024)",
      "identifier": "d32dc095-de60-45f0-9e58-852257970244",
      "description": "The Reference Document link for the downable Blood Disorder Treatment Spreadsheet can be accessed below under the Additional Information table under Related Documents.",
      "accessLevel": "public",
      "modified": "2024-06-28T16:08:55Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Drug Products"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/Clotting-Factor-June2024.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/59dd7ad8-ff7a-4f9d-a1c2-a26bf13bf9b4",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "references": [
        "https://download.medicaid.gov/data/Spreadsheet_Footnotes.pdf"
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2021"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2021 payments grouped by covered recipient and nature of payments",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_CR_BY_NTR_OF_PYMT_PGYR2021_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "d35243be-55cb-5087-931e-a294e0e0917f",
      "title": "2021 payments grouped by covered recipient and nature of payments",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2021-01-01",
          "endDate": "2021-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 1998",
      "identifier": "d371b0f4-db36-56f0-8aab-8f8ecb2b66e7",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T14:20:49Z",
      "modified": "2026-04-03T14:40:42Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-1998.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2024 Individual Dental",
      "identifier": "d3ea6f2d-a517-4f9b-a2fb-1ffcaebc3107",
      "description": "The Dental Individual Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to consumers in the individual market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2024-08-06T04:00:00Z",
      "modified": "2024-08-14T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2024",
        "QHP Landscape",
        "Individual Market Dental",
        "SADP",
        "Individual"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "zip",
          "downloadURL": "https://data.healthcare.gov/datafile/py2024/individual_market_dental.zip"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "d3i6-k6z5",
      "title": "PLACES: County Data (GIS Friendly Format), 2024 release",
      "description": "This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2022 county population estimates, and American Community Survey (ACS) 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the census 2022 county boundary file in a GIS system to produce maps for 40 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-09-11",
      "issued": "2025-09-11",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "prevalence",
        "places",
        "outcomes",
        "gis",
        "health",
        "county",
        "behaviors",
        "status",
        "disability",
        "risk",
        "prevention"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: County Data (GIS Friendly Format), 2024 release",
          "description": "This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2022 county population estimates, and American Community Survey (ACS) 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the census 2022 county boundary file in a GIS system to produce maps for 40 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "accessURL": "https://data.cdc.gov/d/d3i6-k6z5",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-County-Data-GIS-Friendly-Format-2024-releas/d3i6-k6z5/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-09-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/d3i6-k6z5",
            "title": "PLACES: County Data (GIS Friendly Format), 2024 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: County Data (GIS Friendly Format) Series, 2020-2025",
          "description": "This dataset contains model-based county-level estimates in GIS-friendly format from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_tafVersion",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2026-02-02T20:37:24Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "tafVersion csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20260120_e2e_ETL_DEV/tafVersion.csv",
          "description": "{\"dataset\": \"tafVersion\", \"stage\": \"devAuto\", \"update_id\": \"20260120_e2e_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "d4063f55-6da8-587b-8279-8ff627b2318b",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 NM Individual Medical",
      "identifier": "d47v-jybh",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-29T19:22:29Z",
      "modified": "2015-12-03T00:28:21Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2016-qhp-landscape-nm-individual-market-medical.d47v-jybh.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e6c3db71-d4c4-41bf-bb7e-7c1d97573122",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_files_allDownloadsSSBtn",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2026-02-02T20:37:24Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "files_allDownloadsSSBtn csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20260120_e2e_ETL_DEV/files_allDownloadsSSBtn.csv",
          "description": "{\"dataset\": \"files_allDownloadsSSBtn\", \"stage\": \"devAuto\", \"update_id\": \"20260120_e2e_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "d55ac067-44dd-5ea0-ab04-d06b5985b540",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Acute Care Services Provided to the Medicaid and CHIP Population",
      "identifier": "d55e5ef5-9a2e-4d6c-884e-65a40a70756b",
      "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of acute care services, including emergency department (ED) visits, inpatient stays, intensive care unit (ICU) stays, and ICU stays that include ventilator use, provided to Medicaid and CHIP beneficiaries, by state. Users can filter to acute care services for any reason, or acute care services for COVID-19. \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating acute care services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T14:40:52Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Acute Care",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Acute Care Services Provided to the Medicaid and CHIP Population",
          "description": "Codes - OT Professional. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/Acute-Care-Services-Provided-to-the-MedicaidCHIP-Population.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "all years"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "Payments grouped by reporting entities",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_RPTG_ORG_SMRY_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "d5762bed-26ca-4035-91c9-9d67297dc77c",
      "title": "Payments grouped by reporting entities",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-01",
          "endDate": "2023-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NADAC (National Average Drug Acquisition Cost) 2021",
      "identifier": "d5eaf378-dcef-5779-83de-acdd8347d68e",
      "description": "National Average Drug Acquisition Cost (NADAC) weekly reference data for the calendar year.",
      "accessLevel": "public",
      "issued": "2014-11-07T15:54:00Z",
      "modified": "2021-12-28T09:56:01Z",
      "license": "https://www.usa.gov/government-works",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2021-01-01",
          "endDate": "2022-01-01"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "National Average Drug Acquisition Cost (NADAC)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "NADAC (National Average Drug Acquisition Cost) 2021",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/national-average-drug-acquisition-cost-12-29-2021.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/f6868b6f-7ac0-4438-ba0b-2f8e5555123f",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt version v2.10.14 (coreset-dev)",
      "identifier": "d605e8ea-553c-50b2-83ac-238f1734c257",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-06T01:29:04Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt version v2.10.14 (coreset-dev)",
          "description": "CoreSEt version v2.10.14 (coreset-dev)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.14/20241029/version.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet measure v3.9.97 (Production)",
      "identifier": "d62f5f31-d44c-5818-ad92-6f5058b1153c",
      "modified": "2026-09-21T23:50:30Z",
      "distribution": [
        {
          "title": "CoreSet measure v3.9.97 (Production)",
          "description": "CoreSet measure v3.9.97 (Production)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.97/20260824/measure.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "d640-e528",
      "title": "Optometry Office Visit Costs",
      "description": "Returns optometry office visit costs per zip code for new and established patients.",
      "keyword": [
        "Optometry"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/764a156bb917396a21c05b3fffdcf4c7_1722902751/Optometry.csv",
          "mediaType": "text/csv",
          "title": "Optometry.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Optometry Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/d640-e528"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet version v3.1.24 (feature-dev)",
      "identifier": "d65d9a4f-2270-56e9-a08f-6e2f906ee382",
      "modified": "2025-04-23T12:05:47Z",
      "distribution": [
        {
          "title": "CoreSet version v3.1.24 (feature-dev)",
          "description": "CoreSet version v3.1.24 (feature-dev)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.1.24/20250415/version.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt version v2.10.22 (coreset-impl)",
      "identifier": "d6a1edcf-eec9-5eef-82e2-a4d68cc940c4",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-15T00:14:09Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt version v2.10.22 (coreset-impl)",
          "description": "CoreSEt version v2.10.22 (coreset-impl)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/2.10.22/20241029/version.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Transparency in Coverage PUF - PY2023",
      "identifier": "d722880d-4526-4f54-a87d-e25bdf7891d2",
      "description": "The Transparency in Coverage PUF (TC-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The PUF contains data on issuer and plan-level claims, appeals, and active URL data. The PY2023 PUF contains data from PY2021 for issuers participating in the Exchange in PY2021.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2022-10-14T04:00:00Z",
      "modified": "2022-10-25T21:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Transparency in Coverage",
        "PY2023",
        "Exchange PUF",
        "Marketplace PUF"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "xlsx",
          "downloadURL": "https://data.healthcare.gov/datafile/py2023/transparency_in_coverage_PUF.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2025 Individual Medical",
      "identifier": "d7865dc4-7c70-4bee-9e88-eaf6d4c7da28",
      "description": "The Medical Individual Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to consumers in the individual market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2025-08-06T04:00:00Z",
      "modified": "2025-08-12T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Individual Market Medical",
        "QHP",
        "Individual",
        "QHP Landscape Instructions",
        "PY2025"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/py2025/med-ind-lndscp-in.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "d796-7f06",
      "title": "Dermatology Office Visit Costs",
      "description": "Returns dermatology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Dermatology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/20ea6e922a2c3ecbdf266b128a18c13a_1722902722/Dermatology.csv",
          "mediaType": "text/csv",
          "title": "Dermatology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Dermatology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/d796-7f06"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2024"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2024 payments grouped by reporting entities and nature of payments",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_AMGPO_BY_NTR_OF_PYMT_PGYR2024_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "d7e3f320-9ddc-4a5b-8aaf-45048cbd7386",
      "title": "2024 payments grouped by reporting entities and nature of payments",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2024-01-01",
          "endDate": "2024-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Medicaid and CHIP Eligibility Levels",
      "identifier": "d7e4cccb-1c56-5b5d-acce-5e7744c6d3b4",
      "description": "The following table provides eligibility levels in each state for key coverage groups that use Modified Adjusted Gross Income (MAGI), as of April 1, 2018. The data represent the principal, but not all, MAGI coverage groups in Medicaid, the Children’s Health Insurance Program (CHIP), and the Basic Health Program (BHP). All income standards are expressed as a percentage of the federal poverty level (FPL). The MAGI-based rules generally include adjusting an individual’s income by an amount equivalent to a 5% FPL disregard. Other eligibility criteria also apply, such as citizenship, immigration status, and state residency.\n\nFor more information, see: \nhttps://www.medicaid.gov/medicaid/program-information/medicaid-and-chip-eligibility-levels/index.html",
      "accessLevel": "public",
      "issued": "2018-03-12T18:21:37Z",
      "modified": "2018-11-17T19:41:13Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Jeff Chamblee",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "theme": [
        "Eligibility"
      ],
      "keyword": [
        "Children's Health Insurance Program (CHIP)",
        "Eligibility Levels",
        "Medicaid",
        "Federal Poverty Level (FPL)",
        "Modified Adjusted Gross Income (MAGI)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-and-chip-eligibility-levels.xy8t-auhk.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Business Rules PUF - PY2025",
      "identifier": "d849f3cc-64da-408a-92d8-790ba4973737",
      "description": "The Business Rules PUF (BR-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The BR-PUF contains plan-level data on rating business rules, such as maximum age for a dependent and allowed dependent relationships. ",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2025-08-06T04:00:00Z",
      "modified": "2025-08-12T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Business Rules",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2025"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2025/business_rules_PUF.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e326ff8a-2f4c-4f20-8033-2175e67ac6dd",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
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        ]
      },
      "programCode": [
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      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard pillar v3.9.8 (CMS Test)",
      "modified": "2025-11-25T20:30:27Z",
      "distribution": [],
      "identifier": "d84e14e5-6bbb-5c4c-b55d-ecb830eb1783",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2023",
      "identifier": "d890d3a9-6b00-43fd-8b31-fcba4c8e2909",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq",
      "accessLevel": "public",
      "issued": "2023-12-01T13:38:29Z",
      "modified": "2026-07-13T15:43:41Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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        "name": "Office of Communications (OC)",
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          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/sdud2023_updatedJuly2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
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      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2015 Qualifying Health Plan Selections by Metal Level and County, as of February 22, 2015",
      "identifier": "d89b-9897",
      "description": "All figures are based on plan selections with coverage periods that include March 1, 2015",
      "accessLevel": "public",
      "issued": "2015-06-22T15:13:14Z",
      "modified": "2015-07-02T14:28:57Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "OEDA",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "county",
        "metal level",
        "qualifying health plan"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qualifying-health-plan-selections-by-metal-level-and-county-as-of-february-22-2015.d89b-9897.csv",
          "describedBy": {
            "@type": "Distribution",
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            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/7de0b616-5930-4a5f-bf60-4d06f3ca6f21",
            "title": "data.healthcare.gov"
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          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard version v3.9.137 (CMS Test)",
      "identifier": "d8a9b56a-8ae5-5a85-b06f-439f74a9d7f2",
      "modified": "2026-09-21T11:30:53Z",
      "distribution": [
        {
          "title": "Scorecard version v3.9.137 (CMS Test)",
          "description": "Scorecard version v3.9.137 (CMS Test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.137/20260918/version.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "featAuto_tafVersion",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
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      ],
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-09-25T14:18:32Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_featAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "tafVersion csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20250924_ETL_DEV/tafVersion.csv",
          "description": "{\"dataset\": \"tafVersion\", \"stage\": \"featAuto\", \"update_id\": \"20250924_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "d8dc4c8b-3174-5aba-a777-f1ea0f4bdc7f",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Pricing Comparison for Blood Disorder Treatments (Pricing as of 12/1/2022)",
      "identifier": "d8df4c15-38e0-43c8-ba3b-c56ffa61de5f",
      "description": "The Reference Document link for the downable Blood Disorder Treatment Spreadsheet can be accessed below under the Additional Information table under Related Documents.",
      "accessLevel": "public",
      "modified": "2022-12-20T10:55:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Drug Products"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/Clotting-Factor-Dec2022_0.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "references": [
        "https://download.medicaid.gov/data/Spreadsheet_Footnotes.pdf"
      ],
      "bureauCode": [
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      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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        "@type": "Organization",
        "name": "Office of Communications (OC)",
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
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      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet version v3.3.5 (imp)",
      "modified": "2025-05-05T22:19:55Z",
      "distribution": [
        {
          "title": "CoreSet version v3.3.5 (imp)",
          "description": "CoreSet version v3.3.5 (imp)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.3.5/20250110/version.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "d9053057-1d55-5c91-945b-b4ca01d6bdb9",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-09-18-to-2023-09-24",
      "identifier": "d906204c-3476-4a75-bd35-342b8dc56687",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-10-16T14:39:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-09-18-to-2023-09-24",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-09-18-2023-to-09-24-2023-10152025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "2000 Physician Fee Schedule Data",
      "distribution": [
        {
          "title": "Localities table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2000.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "d9b720a4-4d5e-46e1-9b97-db0f53aa51cd",
      "keyword": [
        "2000",
        "localities"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2000",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard SELECTIONS v0.drew.2-test (local)",
      "identifier": "d9fb4ebc-7ff5-5376-ae96-f7d08c294929",
      "modified": "2023-12-20T14:06:43Z",
      "distribution": [],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Quality PUF - PY2024",
      "identifier": "da3fb89d-6de1-4ece-9ff1-8ff119e22cc4",
      "description": "The Quality PUF contains 2023 quality ratings data for eligible Qualified Health Plans in PY2024 in states on HealthCare.gov.\n\nAccess the Quality PUF and Data Dictionary directly @ https://www.cms.gov/files/zip/quality-puf-py2024.zip",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "describedBy": {
        "@type": "Distribution",
        "accessURL": "https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/QualityInitiativesGenInfo/ACA-MQI/Downloads/MQI-Downloads",
        "title": "cms.gov"
      },
      "issued": "2023-10-24T20:07:58Z",
      "modified": "2023-10-24T20:07:58Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Nidhi Singh-Shah",
        "hasEmail": "mailto:Nidhi.Singh-Shah@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Quality PUF 2024 Data",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/Quality%20PUF%20Oct%202023.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/bba3b8d8-064c-4d80-8a6f-49e4e8fce517",
            "title": "data.healthcare.gov"
          },
          "_update": "2026-04-10"
        },
        {
          "@type": "Distribution",
          "title": "Quality PUF 2024 Data Dictionary",
          "format": "xlsx",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/Quality%20PUF%20Data%20Dictionary%20Oct%202023_508.xlsx"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2019",
      "identifier": "daba7980-e219-5996-9bec-90358fd156f1",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2019-07-22T15:55:02Z",
      "modified": "2026-04-03T13:29:08Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2019.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan ID Crosswalk PUF – PY2022",
      "identifier": "db1b95d1-b2e9-4413-8cf5-2f851f80b44f",
      "description": "The Plan ID Crosswalk PUF (CW-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The purpose of the CW-PUF is to map QHPs and SADPs offered through the Exchanges during the previous plan year to plans that will be offered through the Exchanges in the current plan year. ",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2021-10-24T04:00:00Z",
      "modified": "2021-10-22T21:02:48Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2022",
        "Plan ID Crosswalk",
        "Exchange PUF",
        "Marketplace PUF"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2022/plan_id_crosswalk_puf.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/8b66a049-ec5f-4de3-b993-40dec1b39b1e",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard measure v3.9.137 (CMS Test)",
      "identifier": "dbc1b91e-4b0f-5e3b-b49d-8f668ddcc2fe",
      "modified": "2026-09-21T11:30:52Z",
      "distribution": [
        {
          "title": "Scorecard measure v3.9.137 (CMS Test)",
          "description": "Scorecard measure v3.9.137 (CMS Test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.137/20260918/measure.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Inpatient Psychiatric Facility Quality Measure Data - by State",
        "accessURL": "https://data.cms.gov/provider-data/dataset/dc76-gh7x"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-07-16",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Inpatient Psychiatric Facility Quality Reporting",
        "Psychiatric",
        "State"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "dc76-gh7x",
      "description": "This dataset includes state-level data for quality measures included under the IPFQR program, including HBIPS, SUB, TOB, Transition Record (TR), Screening for Metabolic Disorders (SMD), FAPH, IMM, Readmissions (READM), and Medication Continuation (MedCont, formerly known as MedCoPsy). Psychiatric facilities that are eligible for the Inpatient Psychiatric Facility Quality Reporting (IPFQR) program are required to meet all program requirements, otherwise their Medicare payments may be reduced. ",
      "title": "Inpatient Psychiatric Facility Quality Measure Data - by State",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/aaf5b6168e889e217580d86b5c443c6d_1785189963/IPFQR_QualityMeasures_State.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt pillar v2.10.22 (coreset-impl)",
      "identifier": "de0dc5a3-76a0-5531-a07d-282c9404173b",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-15T00:14:09Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt pillar v2.10.22 (coreset-impl)",
          "description": "CoreSEt pillar v2.10.22 (coreset-impl)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/2.10.22/20241029/pillar.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "de4p-4g3k",
      "title": "National Survey of Childrenâ€™s Health (NSCH)  –  Vision and Eye Health Surveillance",
      "description": "2016-17 merged. This dataset is a de-identified summary table of vision and eye health data indicators from the National Survye of Chilrens Health (NSCH), stratified by all available combinations of age group, race/ethnicity, sex, risk factor and state. NSCH is a telephone survey conducted by the National Center for Health Statistics at CDC (currently conducted by the U.S. Census Bureau) that examines the physical and emotional health of children 0-17 years of age. Approximate sample size is 95,000 over two rounds of data collection. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Detailed information on VEHSS NSCH analyses can be found on the VEHSS NSCH webpage (cdc.gov/visionhealth/vehss/data/national-surveys/national-survey-of-childrens-health.html). Additional information about NSCH can be found on the NSCH website (https://childhealthdata.org/learn/NSCH). The VEHSS NSCH dataset was last updated in November 2019.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vision and Eye Health Surveillance System",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Diabetes Translation (DDT)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-03-07",
      "issued": "2018-02-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vision & Eye Health"
        }
      ],
      "keyword": [
        "contact lenses",
        "visual function",
        "vision impairment",
        "nsch",
        "glasses"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "DDT Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Survey of Children's Health (NSCH) – Vision and Eye Health Surveillance",
          "description": "2016-17 merged. This dataset is a de-identified summary table of vision and eye health data indicators from the National Survye of Chilrens Health (NSCH), stratified by all available combinations of age group, race/ethnicity, sex, risk factor and state. NSCH is a telephone survey conducted by the National Center for Health Statistics at CDC (currently conducted by the U.S. Census Bureau) that examines the physical and emotional health of children 0-17 years of age. Approximate sample size is 95,000 over two rounds of data collection. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Detailed information on VEHSS NSCH analyses can be found on the VEHSS NSCH webpage (cdc.gov/visionhealth/vehss/data/national-surveys/national-survey-of-childrens-health.html). Additional information about NSCH can be found on the NSCH website (http://childhealthdata.org/learn/NSCH). The VEHSS NSCH dataset was last updated in November 2019.",
          "accessURL": "https://data.cdc.gov/d/de4p-4g3k",
          "downloadURL": "https://data.cdc.gov/Vision-Eye-Health/National-Survey-of-Children-s-Health-NSCH-Vision-a/de4p-4g3k/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-03-07",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/de4p-4g3k",
            "title": "National Survey of Children's Health (NSCH) – Vision and Eye Health Surveillance"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 HI Individual Medical",
      "identifier": "dep5-tze9",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T17:17:21Z",
      "modified": "2015-11-24T01:38:29Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2016_HI-Med-Indi-Land-11-19-2015.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Centers for Medicare & Medicaid Services (CMS) EHR Incentive Program Measures",
      "description": "The CMS EHR Incentive Programs provide incentives to eligible office-based providers and hospitals to adopt electronic health records. Both the Medicare and Medicaid programs have separate criteria and eligible participants. These measures track the percentage of physicians, nurse practitioners, physician assistants, short-term general, Critical Access, and Children's hospitals that have demonstrated meaningul use of certified electronic health record technology and/or adopted, implemented, or ugraded any electronic health record. These measures track the rate of adoption and use of EHR technology certified by HHS in addition to adoption of other non-certified EHR technology. These measures are cumulative, representing the most recent data.",
      "identifier": "deraq33a-rn2x-aa1j-jhzz-4gp7d0wf8cys",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Centers for Medicare & Medicaid Services (CMS) EHR Incentive Program Measures landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/centers-medicare-medicaid-services-cms-ehr-incentive-program-measures"
      },
      "modified": "2017-08-03",
      "accrualPeriodicity": "annually",
      "keyword": [
        "health IT",
        "health information technology",
        "ehrs",
        "electronic health records",
        "certified electronic health record technology",
        "office-based physicians",
        "hospitals",
        "nurse",
        "physicians",
        "incentive payment",
        "adoption"
      ],
      "relation": [
        "https://www.healthit.gov/data/quickstats/office-based-health-care-professionals-participating-cms-ehr-incentive-programs",
        "https://www.healthit.gov/data/quickstats/hospitals-participating-cms-ehr-incentive-programs"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2022"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "All general (non-research, non-ownership related) payments from the 2022 program year [January 1 – December 31, 2022] <p><strong>NOTE:</strong> This is a very large file and, depending on your network characteristics and software, may take a long time to download or fail to download. Additionally, the number of rows in the file may be larger than the maximum rows your version of <a href=\"https://support.microsoft.com/en-us/office/excel-specifications-and-limits-1672b34d-7043-467e-8e27-269d656771c3\">Microsoft Excel</a> supports. If you can't download the file, we recommend engaging your IT support staff. If you are able to download the file but are unable to open it in MS Excel or get a message that the data has been truncated, we recommend trying alternative programs such as MS Access, Universal Viewer, Editpad or any other software your organization has available for large datasets.</p>",
      "distribution": [
        {
          "title": "General Payment Data – Detailed Dataset 2022 Reporting Year",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/PGYR2022_P06302026_06032026/OP_DTL_GNRL_PGYR2022_P06302026_06032026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://openpaymentsdata.cms.gov/api/1/metastore/schemas/data-dictionary/items/71ec19df-f5ef-5b99-b43b-e566e22670b7",
            "title": "openpaymentsdata.cms.gov"
          },
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "df01c2f8-dc1f-4e79-96cb-8208beaf143c",
      "title": "2022 General Payment Data",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2022-01-01",
          "endDate": "2022-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "General Payments"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 04-27-2026 to 05-03-2026",
      "identifier": "df124eb9-35d9-48d1-b879-ff52f9fef128",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2026-05-07T16:59:17Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-04-27-2026-to-05-03-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Scorecard example_small_source_data_file",
      "identifier": "df89cf2b-2298-5529-8d1b-eb7de7851b6b",
      "description": "I am an update",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "modified": "2023-04-10T15:51:19Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "DataConnect Support Team",
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NADAC (National Average Drug Acquisition Cost) 2022",
      "identifier": "dfa2ab14-06c2-457a-9e36-5cb6d80f8d93",
      "description": "National Average Drug Acquisition Cost (NADAC) weekly reference data for the calendar year.",
      "accessLevel": "public",
      "modified": "2023-01-18T16:47:01Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "National Average Drug Acquisition Cost (NADAC)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "NADAC (National Average Drug Acquisition Cost) 2022",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/nadac-national-average-drug-acquisition-cost-2022.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/de58d5ec-4515-494e-ae3f-620200f72989",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-02-06-to-2023-02-12",
      "identifier": "dfaabae9-21bd-4f77-84f6-3bda5806c6f7",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-02-13T14:16:36Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-02-06-to-2023-02-12",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-02062023-to-02122023.csv"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Transparency in Coverage PUF - PY2026",
      "identifier": "dfc1a61d-6e77-4c62-bee1-44422a42cf06",
      "description": "The Transparency in Coverage PUF (TC-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The PUF contains data on issuer and plan-level claims, appeals, and active URL data. The PY2026 PUF contains data from PY2024 for issuers participating in the Exchanges in PY2024.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2025-09-26T04:00:00Z",
      "modified": "2025-10-28T21:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Transparency in Coverage",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2026"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "xlsx",
          "downloadURL": "https://data.healthcare.gov/datafile/py2026/transparency_in_coverage_PUF.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2022 Child and Adult Health Care Quality Measures Quality",
      "identifier": "dfd13757-d763-4f7a-9641-3f06ce21b4c6",
      "description": "Performance rates on frequently reported health care quality measures in the CMS Medicaid/CHIP Child and Adult Core Sets, for FFY 2022 reporting.\r\n\r\nSource: Mathematica analysis of MACPro and Form CMS-416 reports for the FFY 2022 reporting cycle. Dataset revised September 2023. For more information, see the Children's Health Care Quality Measures and Adult Health Care Quality Measures webpages.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2023-09-11T14:18:29Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Quality"
      ],
      "keyword": [
        "Performance Rates",
        "Core Sets",
        "Quality Measures"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/2022-child-and-adult-health-care-quality-measures_0.csv"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Patient survey (HCAHPS) - Hospital",
        "accessURL": "https://data.cms.gov/provider-data/dataset/dgck-syfz"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-05",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "CAHPS",
        "Patient Survey",
        "Patient Experience of Care",
        "Survey"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "dgck-syfz",
      "description": "A list of hospital ratings for the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS). HCAHPS is a national, standardized survey of hospital patients about their experiences during a recent inpatient hospital stay.",
      "title": "Patient survey (HCAHPS) - Hospital",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/78a50346fbe828ea0ce2837847af6a7c_1785189950/HCAHPS-Hospital.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Hospital Value-Based Purchasing (HVBP) - Safety",
        "accessURL": "https://data.cms.gov/provider-data/dataset/dgmq-aat3"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2026-01-26",
      "@type": "Dataset",
      "modified": "2026-04-28",
      "released": "2026-08-13",
      "keyword": [
        "Value Based Purchasing",
        "Linking Quality to Payment",
        "PSI",
        "Healthcare Associated Infections",
        "MRSA",
        "Surgical Site Infections",
        "Central Line Associated Blood Stream Infections",
        "Catheter Associated Urinary Tract Infections",
        "C.Difficile",
        "Achievement",
        "Performance"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "dgmq-aat3",
      "description": "A list of hospitals participating in the FY 2026 Hospital VBP Program and their performance rates and scores for the Safety measures. ",
      "title": "Hospital Value-Based Purchasing (HVBP) - Safety",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/33e26123c259ca779642b0d61b2e82f5_1777392336/hvbp_safety.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Outpatient Imaging Efficiency - National",
        "accessURL": "https://data.cms.gov/provider-data/dataset/di9i-zzrc"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Outpatient",
        "CT Scans",
        "National"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "di9i-zzrc",
      "description": "Use of medical imaging - national data. These measures give you information about hospitals' use of medical imaging tests for outpatients. Examples of medical imaging tests include CT scans and MRIs.",
      "title": "Outpatient Imaging Efficiency - National",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/78172a595e76dc064ea87884c5aea1f8_1785189966/Outpatient_Imaging_Efficiency-National.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "MDS Quality Measures",
        "accessURL": "https://data.cms.gov/provider-data/dataset/djen-97ju"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-06-01",
      "@type": "Dataset",
      "modified": "2026-08-01",
      "released": "2026-08-26",
      "nextUpdateDate": "2026-09-30",
      "keyword": [
        "Quality",
        "Measures",
        "Ratings",
        "MDS"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:BetterCare@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "djen-97ju",
      "description": "Quality measures that are based on the resident assessments that make up the nursing home Minimum Data Set (MDS). Each row contains a specific quality measure for a specific nursing home and includes the 4-quarter score average and scores for each individual quarter.",
      "title": "MDS Quality Measures",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/be86252fa6f8cc3035ec7cd9d3a14371_1786724149/NH_QualityMsr_MDS_Aug2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/nursing_home/NH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Nursing homes including rehab services"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "djk3-k3zs",
      "title": "500 Cities: City-level Data (GIS Friendly Format), 2017 release",
      "description": "2015, 2014. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2018-10-16",
      "issued": "2018-10-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "unhealthy",
        "outcomes",
        "prevalence",
        "500cities",
        "behaviors",
        "census",
        "cities",
        "gis",
        "prevention",
        "tract"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "500 Cities Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "500 Cities: City-level Data (GIS Friendly Format), 2017 release",
          "description": "2015, 2014. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release.",
          "accessURL": "https://data.cdc.gov/d/djk3-k3zs",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/500-Cities-City-level-Data-GIS-Friendly-Format-201/djk3-k3zs/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2018-10-16",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/djk3-k3zs",
            "title": "500 Cities: City-level Data (GIS Friendly Format), 2017 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "500 Cities: City-level Data (GIS Friendly Format) Series, 2016-2019",
          "description": "500 cities project city-level data from 22016-2019 in GIS-friendly format. Dataset can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2021 Individual Dental",
      "identifier": "dmk4-diif",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2020-10-21T19:38:46Z",
      "modified": "2021-08-11T19:28:13Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "mediaType": "application/x-zip-compressed",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2021_Dent-Indi-Land-08_04_2021.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "dnxe-zgxs",
      "title": "CDC PRAMStat Data for 2002",
      "description": "2002.  Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "the Pregnancy Risk Assessment Monitoring System",
          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2015-03-17",
      "issued": "2015-03-17",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Maternal & Child Health"
        }
      ],
      "keyword": [
        "unintended pregnancy",
        "pregnancy history",
        "tobacco use",
        "mental health",
        "preconception health",
        "obesity",
        "morbidity",
        "abuse",
        "smoke exposure",
        "sleep behavior",
        "reproductive health",
        "prenatal care",
        "alcohol use",
        "breastfeeding",
        "contraception",
        "infant health",
        "medicaid",
        "wic",
        "stress"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/prams/index.htm",
        "title": "Centers for Disease Control and Prevention Division of Reproductive Health Pregnancy Risk Assessment Monitoring System (PRAMS)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/prams/index.htm",
        "title": "DRH Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC PRAMStat Data for 2002",
          "description": "2002.  Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
          "accessURL": "https://data.cdc.gov/d/dnxe-zgxs",
          "downloadURL": "https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2002/dnxe-zgxs/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2015-03-17",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/dnxe-zgxs",
            "title": "CDC PRAMStat Data for 2002"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
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              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "CDC PRAMStat Dataset Series",
          "description": "PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2015 OR Individual Medical",
      "identifier": "drds-fxfy",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-04-14T20:39:16Z",
      "modified": "2015-08-20T01:15:56Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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        ]
      },
      "contactPoint": {
        "fn": "jrsmith",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_OR-Med-Indi-Land-08-03-2015.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 HI Individual Dental",
      "identifier": "dsiy-9knw",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T17:25:34Z",
      "modified": "2015-11-24T01:38:04Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2016_HI-Dent-Indi-Land-11-19-2015.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Network PUF - PY2019",
      "identifier": "dtns-y2t8",
      "description": "The Network PUF (Ntwrk-PUF) is one of the seven files that make up the Marketplace PUF. The Ntwrk-PUF contains issuer-level data identifying provider network URLs. These data either originate from the Network ID template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated)",
      "accessLevel": "public",
      "issued": "2018-10-25T12:35:42Z",
      "modified": "2019-10-21T20:07:17Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Jennings",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/network-puf-2019.dtns-y2t8.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/60ed5f1e-195d-4027-9073-7a4b6254e823",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "dttw-5yxu",
      "title": "Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data (2011 to present)",
      "description": "2011 to present. BRFSS combined land line and cell phone prevalence data. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Behavioral Risk Factor Surveillance System",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-20",
      "issued": "2015-06-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Behavioral Risk Factors"
        }
      ],
      "keyword": [
        "risk",
        "survey",
        "behavioral",
        "brfss",
        "factor"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/BRFSS/",
        "title": "Centers for disease control and prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
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        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/BRFSS/",
        "title": "DPH Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data (2011 to present)",
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          "accessURL": "https://data.cdc.gov/d/dttw-5yxu",
          "downloadURL": "https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-P/dttw-5yxu/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-07-20",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/dttw-5yxu",
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          },
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              "@type": "AccessRestriction",
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          ],
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              "restrictionStatus": "unrestricted"
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          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
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                  "fn": "NCCDPHP Informatics",
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      ],
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "duw2-7jbt",
      "title": "PLACES: Local Data for Better Health, County Data 2022 release",
      "description": "This dataset contains model-based county-level estimates for the PLACES 2022 release. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2020 or 2019 county population estimate data, and American Community Survey 2016 – 2020 or 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-06-15",
      "issued": "2023-06-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
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        "status",
        "behaviors",
        "places",
        "brfss",
        "health",
        "county",
        "outcomes",
        "prevalence",
        "risk"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
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          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
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      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, County Data 2022 release",
          "description": "This dataset contains model-based county-level estimates for the PLACES 2022 release. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2020 or 2019 county population estimate data, and American Community Survey 2016 – 2020 or 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/duw2-7jbt",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-County-Data-20/duw2-7jbt/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-06-15",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/duw2-7jbt",
            "title": "PLACES: Local Data for Better Health, County Data 2022 release"
          },
          "accessRestriction": [
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              "restrictionStatus": "unrestricted"
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          ],
          "useRestriction": [
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              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
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                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: County Data Series, 2020-2025",
          "description": "This dataset series contains model-based county estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "dv4u-3x3q",
      "title": "PLACES: Local Data for Better Health, County Data 2020 release",
      "description": "This dataset contains model-based county-level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
      "contactPoint": [
        {
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          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
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            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2021-10-07",
      "issued": "2021-09-29",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
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        "unhealthy",
        "outcomes",
        "county",
        "places",
        "behaviors",
        "prevalence",
        "prevention"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
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          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
      "rights": [
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      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, County Data 2020 release",
          "description": "This dataset contains model-based county-level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/dv4u-3x3q",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-County-Data-20/dv4u-3x3q/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2021-10-07",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/dv4u-3x3q",
            "title": "PLACES: Local Data for Better Health, County Data 2020 release"
          },
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              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
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              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
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              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
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                "name": "Centers for Disease Control and Prevention (CDC)"
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            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: County Data Series, 2020-2025",
          "description": "This dataset series contains model-based county estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2015 Qualifying Health Plan Selections by Race/ Ethnicity and County, as of February 22, 2015",
      "identifier": "dvpf-jb7v",
      "description": "All figures are based on plan selections with coverage periods that include March 1, 2015",
      "accessLevel": "public",
      "issued": "2015-06-22T15:25:14Z",
      "modified": "2015-07-02T14:28:01Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "OEDA",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "county",
        "ethnicity",
        "qualifying health plan",
        "race"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qualifying-health-plan-selections-by-race-ethnicity-and-county-as-of-february-22-2015.dvpf-jb7v.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/62bb7d60-2959-4788-a823-8a0bbf294b1f",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rolling Draft ECP List",
      "identifier": "dwyq-rebe",
      "description": "Essential Community Provider (ECP) Rolling Draft Dataset. Please visit <a href=\"https://data.healthcare.gov/rolling-draft-list\">https://data.healthcare.gov/rolling-draft-list</a> to search and filter for your ECP site within the Rolling Draft List.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2016-08-22T20:05:00Z",
      "modified": "2026-09-11T16:10:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:EssentialCommunityProviders@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/ECP_Rolling_Draft_List_20260911.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/d320bf8a-adb7-4bbe-924f-d3fed65e7d28",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 NV Dental SHOP",
      "identifier": "dxg8-kay3",
      "description": "For instructions on how to read and use this data, visit: https://data.healthcare.gov/download/5mza-bezz/application/pdf",
      "accessLevel": "public",
      "issued": "2014-11-13T16:50:15Z",
      "modified": "2015-08-20T00:33:56Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qhp-landscape-nv-shop-market-dental.dxg8-kay3.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/d63b71e0-9567-4263-9109-9db0f5f9a271",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "dxpw-cm5u",
      "title": "500 Cities: City-level Data (GIS Friendly Format), 2019 release",
      "description": "2017, 2016. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. There are 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2019-12-05",
      "issued": "2016-10-28",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "cities",
        "unhealthy",
        "tract",
        "prevention",
        "prevalence",
        "outcomes",
        "gis",
        "census",
        "behaviors",
        "500cities"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "500 Cities Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "500 Cities: City-level Data (GIS Friendly Format), 2019 release",
          "description": "2017, 2016. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. There are 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.",
          "accessURL": "https://data.cdc.gov/d/dxpw-cm5u",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/500-Cities-City-level-Data-GIS-Friendly-Format-201/dxpw-cm5u/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2019-12-05",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/dxpw-cm5u",
            "title": "500 Cities: City-level Data (GIS Friendly Format), 2019 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "500 Cities: City-level Data (GIS Friendly Format) Series, 2016-2019",
          "description": "500 cities project city-level data from 22016-2019 in GIS-friendly format. Dataset can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 Medical SHOP",
      "identifier": "dyfq-xqx7",
      "description": "For instructions on how to read and use this data, visit https://data.healthcare.gov/download/kcq3-w8xz/application/pdf",
      "accessLevel": "public",
      "issued": "2015-10-29T18:15:08Z",
      "modified": "2016-11-18T16:49:11Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2016-qhp-landscape-shop-market-medical.dyfq-xqx7.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/9702fea3-63e3-4b47-8446-45cc185cc67e",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2023 Individual Dental",
      "identifier": "e023a113-2c4a-4e4f-b177-0544e2dccccd",
      "description": "The Dental Individual Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to consumers in the individual market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2023-08-09T04:00:00Z",
      "modified": "2023-08-16T04:00:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Individual Market Dental",
        "Individual",
        "QHP Landscape",
        "SADP",
        "PY2023"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "zip",
          "downloadURL": "https://data.healthcare.gov/datafile/py2023/individual_market_dental.zip"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Medicaid CMS-64 FFCRA Increased FMAP Expenditure",
      "identifier": "e02d3bb0-600d-5451-945f-978a8a511770",
      "description": "During a public health emergency in the Families First Coronavirus Response Act (FFCRA), a new optional Medicaid eligibility group was added called COVID-19 testing eligibility group. States reported these expenditures under sections 6004 and 6008 through the Medicaid Budget and Expenditure System (MBES) on the Form CMS-64. The data in these reports constitute summary level preliminary expenditure information related to these FFCRA provisions for each state\n\nNotes:\n1. The Families First Coronavirus Response Act (FFCRA), enacted on March 18, 2020, provided a temporary FMAP increase to states and territories meeting certain qualifications and added a new optional \t\t\t\t\t\n    Medicaid eligibility group for uninsured individuals during a public health emergency in section 1902(a)(10)(A)(ii)(XXIII) of the Act, referred to as the “COVID - 19 Testing Group.”\t\t\t\t\t\n2. FFCRA Section 6008 provides a temporary 6.2 percentage point FMAP increase to each qualifying state and territory's FMAP under section 1905(b) of the Act, beginning January 1, 2020 and lasting through \t\t\t\t\t\n    the end of the quarter in which the public health emergency (PHE) declared by the Secretary for COVID-19 ends, including any extensions.\t\t\t\t\t\n3. FFCRA Section 6004 provides a 100 percent match rate for individuals eligible under the new optional Medicaid eligibility group in section 1902(a)(10)(A)(ii)(XXIII) of the Act, beginning no earlier than \t\t\t\t\t\n    March 18, 2020 and lasting through the end of the PHE for COVID-19.\t\t\t\t\t\n4. States that have reported “0” either have no expenditures for that reporting category or have not yet reported expenditures for that category.\t\t\t\t\t\n5. This report is a cumulative summary report that includes current and prior period adjustment expenditures that apply to this quarter\t\n6. For the Quarter ending 03/31/2020: Delaware has Negative Total Computable Expenditures and Total Federal Share Expenditures due to the reporting of prior period adjustments during this period.\t\t\t\t\n7. For the Quarter ending 09/30/2020: Colorado has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period.\t\t\t\t\t\t\n8. For the Quarter ending 03/31/2021: California has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period. This corrected FY 2020 Q4 expenditures for Treatment services that are not allowed for Section 6004 100% FMAP match.\n9. For the Quarter ending 03/31/2021: Utah has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period.\n10. For the Quarter ending 12/31/2022: California has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period.\n11. For the Quarter ending 12/31/2022: Connecticut has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period.\n12. For the Quarter ending 09/30/2023: Connecticut has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period.\t\t\t\t\t\t\n13. For the Quarter ending 09/30/2023: Illinois has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period.\t\t\t\t\t\t\n14. For the Quarter ending 09/30/2023: Minnesota has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period.\t\t\t\t\t\t\n15. For the Quarter ending 09/30/2023: Utah has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period.\t\t\t\t\t\t\n16. For the Quarter ending 09/30/2023: Washington has Negative Total Computable Section 6008 Covid 19 Expenditures and Total Federal Share Section 6008 Covid 19 Expenditures due to the reporting of prior period adjustments during this period.\t\t\t\t\t\t\t\t\t\t\n17. For the Quarter ending 12/31/2023: Colorado has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period.\t\t\t\t\t\t\n18. For the Quarter ending 12/31/2023: Connecticut has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period.\t\t\t\t\t\t\n19. For the Quarter ending 12/31/2023: Minnesota has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period.\t\t\t\t\t\t\n20. For the Quarter ending 12/31/2023: New Mexico has Negative Total Computable Section 6004 Covid 19 Expenditures and Total Federal Share Section 6004 Covid 19 Expenditures due to the reporting of prior period adjustments during this period.\t\t\t\t\t\t\n21. For the Quarter ending 12/31/2023: Hawaii has Negative Total Computable Section 6008 Covid 19 Expenditures and Total Federal Share Section 6008 Covid 19 Expenditures due to the reporting of prior period adjustments during this period.",
      "accessLevel": "public",
      "issued": "2021-01-15T00:04:59Z",
      "modified": "2026-03-19T13:23:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/Medicaid-CMS-64-FFCRA-Increased-FMAP-Expenditure-03182026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/cf1dcee7-aede-4a48-8371-0aa60b90068c",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
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          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet spa v3.9.119 (Development)",
      "identifier": "e06c5f21-915a-5281-a8c7-f3a2894cf5f3",
      "modified": "2026-09-22T20:36:50Z",
      "distribution": [
        {
          "title": "CoreSet spa v3.9.119 (Development)",
          "description": "CoreSet spa v3.9.119 (Development)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.119/20260901/spa.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard TAG v0.3.0-1 (etl_test)",
      "modified": "2023-05-25T14:33:31Z",
      "distribution": [],
      "identifier": "e0c7b1d9-44a1-565a-b975-1a4c61855914",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "all years"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "Summary data.",
      "distribution": [
        {
          "title": "Summary Dashboard - all years",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_DSHBRD_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "e0d225fc-8230-401d-8fad-e2262fb22b4c",
      "title": "Summary Dashboard - all years",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-01",
          "endDate": "2023-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 06-29-2026 to 07-05-2026",
      "identifier": "e0d94bd6-4a52-4788-8846-0d4140f74b83",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2026-07-06T14:15:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-06-29-2026-to-07-05-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Network PUF - PY2023",
      "identifier": "e164fcba-c5fb-4d81-97a9-882e98a69325",
      "description": "The Network PUF (Ntwrk-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The Ntwrk-PUF contains issuer-level data identifying provider network URLs.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2023-08-09T04:00:00Z",
      "modified": "2023-08-16T04:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Network",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2023"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2023/network_puf.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/60ed5f1e-195d-4027-9073-7a4b6254e823",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard measure_value v3.9.9 (CMS Test)",
      "modified": "2025-11-25T21:01:23Z",
      "distribution": [],
      "identifier": "e19ca1bc-0e8c-5901-b039-c41748fd44fe",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "e1a1-c9b4",
      "title": "Hematology Office Visit Costs",
      "description": "Returns hematology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Hematology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/33d996d60460ce345f0d633ff29ffbec_1722902732/Hematology.csv",
          "mediaType": "text/csv",
          "title": "Hematology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Hematology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/e1a1-c9b4"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard measure v3.9.138 (Implementation)",
      "identifier": "e1f19f91-424b-5769-81a4-5878fb5fefd9",
      "modified": "2026-09-22T14:10:10Z",
      "distribution": [
        {
          "title": "Scorecard measure v3.9.138 (Implementation)",
          "description": "Scorecard measure v3.9.138 (Implementation)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.138/20260922/measure.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2014 Individual Dental",
      "identifier": "e2181b47-0db2-4006-8389-3e5bf09a3765",
      "description": "Dataset.",
      "accessLevel": "public",
      "modified": "2025-08-01T14:00:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Individual",
        "Individual Market Dental",
        "SADP",
        "QHP Landscape Instructions",
        "PY2014"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "pdf",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/py2014_den-ind-lndscp-in.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 20210726 to 20210801",
      "identifier": "e28727b2-fe6b-46cb-8617-408de290200d",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2021-10-13T08:52:46Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rpt-drugs-aug-20210726-to-20210801.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-09-11-to-2023-09-17",
      "identifier": "e2893fe7-8869-45c9-bb4c-9eb20dc2bd33",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-09-18T20:15:54Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-09-11-to-2023-09-17",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-09-11-2023-to-09-17-2023.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard pillar v3.9.137 (CMS Test)",
      "identifier": "e28e9628-8a85-5df6-9ed3-b224e79e484a",
      "modified": "2026-09-21T11:30:53Z",
      "distribution": [
        {
          "title": "Scorecard pillar v3.9.137 (CMS Test)",
          "description": "Scorecard pillar v3.9.137 (CMS Test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/3.9.137/20260918/pillar.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "e28h-tx85",
      "title": "Medicare Fee for Service (FFS) claims (100%)  –  Vision and Eye Health Surveillance",
      "description": "2014-2022. This dataset is a de-identified summary table of vision and eye health data indicators from Medicare claims, stratified by all available combinations of age group, race/ethnicity, sex, and state. Medicare claims for VEHSS includes beneficiaries who were fully enrolled in Medicare Part B Fee-for-Service (FFS) for the duration of the year. Medicare claims provide a convenience sample that includes approximately 30 million individuals annually, which represents nearly 89% of the US population aged 65 and older and 3.3% of the US population younger than 65, including persons disabled due to blindness. Medicare data for VEHSS include Service Utilization and Medical Diagnoses indicators. Data were suppressed for de-identification to ensure protection of patient privacy. Data will be updated as it becomes available. Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicare webpage (cdc.gov/visionhealth/vehss/data/claims/medicare.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicare dataset was last updated August 2025.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vision and Eye Health Surveillance System",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Diabetes Translation (DDT)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-08-07",
      "issued": "2018-02-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vision & Eye Health"
        }
      ],
      "keyword": [
        "treated prevalence",
        "claims",
        "eye exams",
        "medicare",
        "service utilization",
        "medical diagnoses"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "DDT Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Medicare Fee for Service (FFS) claims (100%) – Vision and Eye Health Surveillance",
          "description": "2014-2022. This dataset is a de-identified summary table of vision and eye health data indicators from Medicare claims, stratified by all available combinations of age group, race/ethnicity, sex, and state. Medicare claims for VEHSS includes beneficiaries who were fully enrolled in Medicare Part B Fee-for-Service (FFS) for the duration of the year. Medicare claims provide a convenience sample that includes approximately 30 million individuals annually, which represents nearly 89% of the US population aged 65 and older and 3.3% of the US population younger than 65, including persons disabled due to blindness. Medicare data for VEHSS include Service Utilization and Medical Diagnoses indicators. Data were suppressed for de-identification to ensure protection of patient privacy. Data will be updated as it becomes available. Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicare webpage (cdc.gov/visionhealth/vehss/data/claims/medicare.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicare dataset was last updated August 2025.",
          "accessURL": "https://data.cdc.gov/d/e28h-tx85",
          "downloadURL": "https://data.cdc.gov/Vision-Eye-Health/Medicare-Fee-for-Service-FFS-claims-100-Vision-and/e28h-tx85/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-08-07",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/e28h-tx85",
            "title": "Medicare Fee for Service (FFS) claims (100%) – Vision and Eye Health Surveillance"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "e2bb-d371",
      "title": "Infectious Disease Office Visit Costs",
      "description": "Returns infectious disease office visit costs per zip code for new and established patients.",
      "keyword": [
        "Infectious Disease"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/0eb216351ab21b17ed8229dd0a1b30e9_1722902736/Infectious_Disease.csv",
          "mediaType": "text/csv",
          "title": "Infectious_Disease.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Infectious Disease Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/e2bb-d371"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Managed Care Enrollment by Program and Population (All)",
      "identifier": "e2ce0d2f-07c5-5213-947a-31e19bc649f6",
      "description": "2024 Enrollment Data by Program and Population\n\nThe Enrollment Data by Program and Population (Table 2 in the Enrollment Report) displays each state and territory’s number of Medicaid enrollees, and the enrollment by the managed care program type - Comprehensive Managed Care Organization (MCO), Primary Care Case Manager (PCCM), Primary Care Case Management Entity (PCCM Entity), Managed Long-Term Services and Supports (MLTSS), Behavioral Health Organization (BHO), Dental, Non-Emergency Medical Transportation (NEMT), Program of All-Inclusive Care for the Elderly (PACE), and Other.\n\n1.\tThe “Total Medicaid Enrollees” column represents an unduplicated count of all enrollees in FFS and any type of managed care, including Medicaid-only and dually eligible individuals receiving full Medicaid benefits or Medicaid cost sharing.\n2.\tMontana could not provide unduplicated data for their PCCM program. As a result, Montana’s Medicaid enrollment by managed care program type is not reported in Table 2.\n3.\tTennessee’s 2024 data submission indicated they were unable to provide an unduplicated count of enrollees in their \"Comprehensive MCO (with or without MLTSS)\" program. As a result, Tennessee's Medicaid enrollment by managed care program type is not reported in Table 2. The column \"Comprehensive MCO (with or without MLTSS)\" in Table 2 does not include PACE; therefore, we are unable to use the state-reported \"Total Medicaid Enrollment in Any Type of Managed Care\" as reported in Tables 1 and 4.\n\nNotes: \"--\" indicates the state or territory does not operate a specific program type or does not have a managed care program. “***” indicates the state operated a program of this type in 2024 but was unable to provide an unduplicated count of enrollees for at least one of their managed care programs.\n\nAlaska, American Samoa, Connecticut, Guam, Northern Mariana Islands, and the U.S. Virgin Islands do not operate Medicaid managed care programs. For these states and territories, the “Total Medicaid Enrollees” reported in this table is total Medicaid enrollment as of June 1, 2024, from the Medicaid Budget and Expenditure System, accessed on April 23, 2025. See https://data.medicaid.gov/dataset/6c114b2c-cb83-559b-832f-4d8b06d6c1b9/.\n\nBecause Medicaid enrollees may be concurrently enrolled in more than one type of managed care program (e.g., a Comprehensive MCO and a BHO), users should not sum enrollment across all program types, since the total would count individuals more than once and, in some states, exceed the actual number of Medicaid enrollees.\n\n2023 Enrollment Data by Program and Population\n\nThe Enrollment Data by Program and Population table (Table 2 in the Enrollment Report) displays each state and territory’s number of Medicaid enrollees, and the enrollment by the managed care program type - Comprehensive Managed Care Organization (MCO), Primary Care Case Manager (PCCM), Primary Care Case Management Entity (PCCM Entity), Managed Long-Term Services and Supports (MLTSS), Behavioral Health Organization (BHO), Dental, Non-Emergency Medical Transportation (NEMT), Program of All-Inclusive Care for the Elderly (PACE), and Other.\n \n1.\tThe “Total Medicaid Enrollees” column represents an unduplicated count of all enrollees in FFS and any type of managed care, including Medicaid-only and dually eligible individuals receiving full Medicaid benefits or Medicaid cost sharing.\n2.\tMontana could not provide unduplicated data for their PCCM program which is the only managed care program in the state. As a result, the data for the PCCM program in Table 2 is equivalent to their total unduplicated number of managed care enrollees. \n3.\tNevada reported a number for total enrollment in “NEMT” that was greater than “Total Medicaid Enrollees” but did not provide an explanation for why this number was greater.\n4.\tTennessee’s 2023 data submission indicated they were unable to provide an unduplicated count of enrollees in their \"Comprehensive MCO (with or without MLTSS)\" program. As a result, Tennessee's Medicaid enrollment by managed care program type is not reported in Table 2. The column \"Comprehensive MCO (with or without MLTSS)\" in Table 2 does not include PACE; therefore, we are unable to use the state-reported \"Total Medicaid Enrollment in Any Type of Managed Care\" as reported in Tables 1 and 4.\n\nNotes: \"--\" indicates the state or territory does not operate a specific program type or does not have a managed care program. “***” indicates the state operated a program of this type in 2023 but was unable to provide an unduplicated count of enrollees for at least one of their managed care programs.\n\nAlaska, American Samoa, Connecticut, Guam, Northern Mariana Islands, and the U.S. Virgin Islands do not operate Medicaid managed care programs. For these states and territories, the “Total Medicaid Enrollees” reported in this table is total Medicaid enrollment as of July 1, 2023, from the Medicaid Budget and Expenditure System, accessed on April 23, 2025. See https://data.medicaid.gov/dataset/6c114b2c-cb83-559b-832f-4d8b06d6c1b9/. \n\nBecause Medicaid enrollees may be concurrently enrolled in more than one type of managed care program (e.g., a Comprehensive MCO and a BHO), users should not sum enrollment across all program types, since the total would count individuals more than once and, in some states, exceed the actual number of Medicaid enrollees.",
      "accessLevel": "public",
      "issued": "2017-12-06T15:20:00Z",
      "modified": "2026-02-12T03:11:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Managed Care Enrollment",
        "Medicare",
        "Behavioral Health Organization (BHO)",
        "Medicaid",
        "Prepaid Inpatient Health Plan (PIHP)",
        "Primary Care Case Manager (PCCM)",
        "Prepaid Ambulatory Health Plan (PAHP)",
        "Program of All-Inclusive Care for the Elderly (PACE)",
        "Managed Long-Term Services and Supports (MLTSS)",
        "Managed Care Organizations (MCO)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/managed-care-enrollment-by-program-and-population-all-2024-table2.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2019 Child and Adult Health Care Quality Measures Quality",
      "identifier": "e36d89c0-f62e-56d5-bc7e-b0adf89262b8",
      "description": "Performance rates on frequently reported health care quality measures in the CMS Medicaid/CHIP Child and Adult Core Sets, for FFY 2019 reporting.\r\n\r\nSource: Mathematica analysis of MACPro and Form CMS-416 reports for the FFY 2019 reporting cycle. Dataset revised October 2020. For more information, see the Children's Health Care Quality Measures and Adult Health Care Quality Measures webpages.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "issued": "2020-07-22T15:30:30Z",
      "modified": "2020-10-14T18:44:41Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "RajB",
        "hasEmail": "mailto:hanraj.balasubramanian@cms.hhs.gov"
      },
      "theme": [
        "Quality"
      ],
      "keyword": [
        "Core Sets",
        "Performance Rates",
        "Quality Measures"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/2019-child-and-adult-health-care-quality-measures-quality.afrw-yks2.csv",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 20211011 to 20211017",
      "identifier": "e38a7952-47df-4d57-b75f-e2775fb854f1",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2021-10-18T12:41:19Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rpt-drugs-sept-20211011-to-20211017.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "First Time NADAC Rates",
      "identifier": "e3af839d-8175-5be0-b94e-4a302ed7a035",
      "description": "The tables below display new National Average Drug Acquisition Cost (NADAC) rates, sorted by Drug Product and Date. The drug products listed have not had a NADAC rate in the past.",
      "accessLevel": "public",
      "issued": "2020-11-06T19:58:56Z",
      "modified": "2026-09-23T22:23:01Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Chris Vaughn",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "National Average Drug Acquisition Cost (NADAC)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/first-time-nadac-09232026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/8f48dac1-fd84-489a-86be-1b16963d5651",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "2002 Physician Fee Schedule Data",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators2002.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "e43b2c9a-6f62-4733-b5a0-0581cb7af081",
      "keyword": [
        "2002",
        "indicators"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2002-01-01",
          "endDate": "2002-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Indicators for 2002",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "e491-a466",
      "title": "Audiologist Office Visit Costs",
      "description": "Returns audiologist office visit costs per zip code for new and established patients.",
      "keyword": [
        "Audiologist"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/087e2956299a744bd3a07a16e55be62a_1722902713/Audiologist.csv",
          "mediaType": "text/csv",
          "title": "Audiologist.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Audiologist Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/e491-a466"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "all years"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "Payments grouped by covered recipient and reporting entities for all years",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_CR_BY_AMGPO_PGYRall_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "e49defac-4013-408d-b36f-665fc0ad51b2",
      "title": "Payments grouped by covered recipient and reporting entities for all years",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-01",
          "endDate": "2023-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 Dental SHOP",
      "identifier": "e4qu-n34i",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2014-11-13T17:26:53Z",
      "modified": "2015-08-20T00:50:36Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_Dent-SHOP-Land-08-03-2015.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Agent Broker Registration Tracker",
      "identifier": "e4rr-zk4i",
      "description": "Dataset.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2018-07-31T17:35:49Z",
      "modified": "2026-09-25T13:21:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "FFMProducer-AssisterHelpDesk",
        "hasEmail": "mailto:FFMProducer-AssisterHelpDesk@cms.hhs.gov"
      },
      "keyword": [
        "utility",
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV file",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/AB_Registration_Tracker_1181.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/5fdfb16f-5a64-4d05-a177-4477b12733a0",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "e539-uadk",
      "title": "Non-Medical Factor Measures for Census Tract, ACS 2017-2021",
      "description": "This dataset contains census tract-level non-medical factor measures from the American Community Survey 5-year data for the entire United Statesâ€”50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-10-26",
      "issued": "2023-10-20",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "estimates",
        "acs",
        "places",
        "tract",
        "non-medical factor"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Non-Medical Factor Measures for Census Tract, ACS 2017-2021",
          "description": "This dataset contains census tract-level non-medical factor measures from the American Community Survey 5-year data for the entire United Statesâ€”50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",
          "accessURL": "https://data.cdc.gov/d/e539-uadk",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/Non-Medical-Factor-Measures-for-Census-Tract-ACS-2/e539-uadk/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-10-26",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/e539-uadk",
            "title": "Non-Medical Factor Measures for Census Tract, ACS 2017-2021"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "title": "prodAuto_concernLevel",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-13T13:41:41Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "concernLevel csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/concernLevel.csv",
          "description": "{\"dataset\": \"concernLevel\", \"stage\": \"prodAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "e55bd3f1-1645-5751-8b2e-803f5c1b76ef",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-04-24-to-2023-04-30",
      "identifier": "e56d9a47-fe57-42c0-b37d-4ab244fd08b1",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-10-20T12:42:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-04-24-to-2023-04-30",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-4-24-2023-to-4-30-2023-102025.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Transparency in Coverage PUF - PY2022",
      "identifier": "e5af98d2-deda-48c2-a6e3-4be667f938d3",
      "description": "The Transparency in Coverage PUF (TC-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The PUF contains data on issuer and plan-level claims, appeals, and active URL data. The PY2022 PUF contains data from PY2020 for issuers participating in the Exchange in PY2020.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2022-03-02T13:00:00Z",
      "modified": "2022-03-30T13:00:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Transparency in Coverage",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2022"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "xlsx",
          "downloadURL": "https://data.healthcare.gov/datafile/py2022/transparency_in_coverage_puf.xlsx"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Business Rules PUF - PY2022",
      "identifier": "e614aeb8-580e-4aae-9140-cf55b4a22180",
      "description": "The Business Rules PUF (BR-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The BR-PUF contains plan-level data on rating business rules, such as maximum age for a dependent and allowed dependent relationships. ",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2022-08-10T12:00:00Z",
      "modified": "2022-08-17T13:30:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Business Rules",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2022"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2022/business_rules_puf.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e326ff8a-2f4c-4f20-8033-2175e67ac6dd",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Medicaid and CHIP Updated Renewal Outcomes",
      "identifier": "e6205a51-e6d7-4849-9882-4483b8a28c41",
      "description": "State-reported data on Medicaid and CHIP eligibility renewals that reflect the outcomes of previously pending renewals three months after the renewal was due and also any corrections to the original renewal data submitted to CMS. <a href=\"https://data.medicaid.gov/dataset/ebcfc16f-8291-4c61-82a4-055846d72f3a/data?conditions%5B0%5D%5Bproperty%5D=reporting_period&amp;conditions%5B0%5D%5Bvalue%5D=202312&amp;conditions%5B0%5D%5Boperator%5D=%3D\">See here</a> for original renewal data.<br />\nCMS <a href=\"https://www.medicaid.gov/resources-for-states/coronavirus-disease-2019-covid-19/unwinding-and-returning-regular-operations-after-covid-19/data-reporting/data-reporting-tools/index.html\">renewal data specifications</a> require states to update and submit to CMS their monthly renewal outcome metrics - metric 5 data and its submetrics (monthly metrics 5a, 5a(1), 5a(2), 5b, 5c, and 5d) - after the original monthly report submission. The “updated” renewal data reflect the outcomes of renewals previously reported as pending (monthly metric 5d of the original monthly report) as of three months after the renewal was due. For more information about this data set and considerations for users when reviewing, please see the Medicaid and CHIP Unwinding: Data Sources and Metrics Definitions Overview <a href=\"https://www.medicaid.gov/media/160271\">found here</a>.\n<br /><b>Sources:</b> <br />(1) March 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report pulled on March 05, 2024, representing the updated disposition of renewals due in March 2023 as of June 2023. April 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report pulled on March 05, 2024, representing the updated disposition of renewals due in April 2023 as of July 2023. May 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report pulled on March 05, 2024, representing the updated disposition of renewals due in May 2023 as of August 2023. June 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report pulled on March 05, 2024, representing the updated disposition of renewals due in June 2023 as of September 2023. July 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report pulled on March 05, 2024, representing the updated disposition of renewals due in July 2023 as of October 2023. August 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report pulled on March 05, 2024, representing the updated disposition of renewals due in August 2023 as of November 2023. September 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report pulled on April 02, 2024, representing the updated disposition of renewals due in September 2023 as of December 2023. October 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report pulled on April 02, 2024, representing the updated disposition of renewals due in October 2023 as of January 2024. November 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report pulled on May 07, 2024, representing the updated disposition of renewals due in November 2023 as of February 2024. December 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report pulled on June 11, 2024, representing the updated disposition of renewals due in December 2023 as of March 2024. New Hampshire’s December 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report pulled on April 09, 2024, representing the updated disposition of renewals due in December 2023 as of March 2024. New York’s December 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report pulled on April 22, 2024, representing the updated disposition of renewals due in December 2023 as of March 2024. January 2024 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report pulled on July 02, 2024, representing the updated disposition of renewals due in January 2024 as of April 2024. February 2024 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report pulled on August 06, 2024, representing the updated disposition of renewals due in February 2024 as of May 2024. March 2024 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report pulled on September 09, 2024, representing the updated disposition of renewals due in March 2024 as of June 2024.<br />\t\n<b>Notes:</b> States report updated renewal outcomes for a cohort as of three months after the month renewals are scheduled for completion, unless otherwise noted. In the March 2023 – October 2023 reporting periods, Oklahoma included outcomes for some individuals who returned their renewal form during the reconsideration period. See the Data Sources and Definitions Overview document for a full description of the metric definitions and how they relate to each other.<br />\t\nApril 2023: Ohio reported updated renewal outcomes for the cohort as of 10/31/2023. Arkansas and Pennsylvania reported the eligibility status of the cohort, and data may include outcomes of eligibility actions that occurred after the renewal. <br />\nMay 2023: The following states reported updated renewal outcomes for the cohort as of a different date: Ohio (outcomes as of 10/31/2023), Rhode Island (outcomes as of 11/1/2023), South Carolina (outcomes as of 12/20/2023), and Texas (outcomes as of 9/8/2023). Pennsylvania, Rhode Island, and South Carolina updated the eligibility status of the cohort, and data may include eligibility actions that occurred after the renewal. <br />\nJune 2023: The following states reported updated renewal outcomes for the cohort as of a different date: Kansas (outcomes as of 8/31/23), Minnesota (outcomes as of 12/2023), Ohio (outcomes as of 10/31/2023), North Carolina (outcomes as of 12/1/2023), Rhode Island (outcomes as of 11/1/2023), and South Carolina (outcomes as of 12/20/2023). Pennsylvania, Rhode Island, and South Carolina updated the eligibility status of the cohort, and data may include eligibility actions that occurred after the renewal. <br />\nJuly 2023: The following states reported updated renewal outcomes for the cohort as of a different date: Minnesota (outcomes as of 12/2023), North Carolina (outcomes as of 12/1/2023), Rhode Island (outcomes as of 11/1/2023), and Texas (outcomes as of 11/9/2023). California, Pennsylvania, and Rhode Island updated the eligibility status of the cohort, and data may include eligibility actions that occurred after the renewal. <br />\nAugust 2023: The following states reported updated renewal outcomes for the cohort as of a different date: Minnesota (outcomes as of 12/2023), North Carolina (outcomes as of 12/1/2023), Rhode Island (outcomes as of 12/4/2023), and South Carolina (outcomes as of 12/20/2023). California, Pennsylvania, Rhode Island, and South Carolina updated the eligibility status of the cohort, and data may include eligibility actions that occurred after the renewal. <br /> \nSeptember 2023: The following states reported updated renewal outcomes for the cohort as of a different date: Minnesota (outcomes as of 1/8/2024), North Carolina (1/2/2024), Rhode Island (1/1/2024), and South Carolina (outcomes as of 1/8/2024). California, Pennsylvania, Rhode Island, and South Carolina updated the eligibility status of the cohort, and data may include eligibility actions that occurred after the renewal. Vermont excluded renewal outcomes for some individuals who requested voluntary terminations or who were deceased. <br />\nOctober 2023: The following states reported updated renewal outcomes for the cohort as of a different date: Minnesota (outcomes as of 2/12/2024), North Carolina (outcomes as of 2/1/2024), Rhode Island (outcomes as of 2/15/2024), and South Carolina (outcomes as 2/1/2024). California, Pennsylvania, and South Carolina updated the eligibility status of the cohort, and data may include eligibility actions that occurred after the renewal. Rhode Island’s updated data includes some individuals reported as pending whose renewal was completed.<br />\nNovember 2023: The following states reported updated renewal outcomes for the cohort as of a different date: Minnesota (outcomes as of 3/4/2024), New York (outcomes as of 3/31/2024), North Carolina (outcomes as of 3/1/2024), Rhode Island (outcomes as of 4/1/2024), and South Carolina (outcomes as of 3/1/2024). Pennsylvania and South Carolina updated the eligibility status of the cohort, and data may include eligibility actions that occurred after the renewal. Rhode Island’s updated data includes some individuals reported as pending whose renewal was completed. California included outcomes for some individuals whose eligibility was redetermined based on a change in circumstances after the renewal was processed. <br /> \nDecember 2023: The following states reported updated renewal outcomes for the cohort as of a different date: North Carolina (outcomes as of 4/1/2024) and Minnesota (outcomes as of 4/2/2024). Pennsylvania updated the eligibility status of the cohort, and data may include eligibility actions that occurred after the renewal. California included outcomes for some individuals whose eligibility was redetermined based on a change in circumstances after the renewal was processed.<br />\nJanuary 2024: The following states reported updated renewal outcomes for the cohort as of a different date: North Carolina (outcomes as of 5/1/2024) and Minnesota (outcomes as of 5/6/2024). Pennsylvania updated the eligibility status of the cohort, and data may include eligibility actions that occurred after the renewal.<br />\nFebruary 2024: The following states reported updated renewal outcomes for the cohort as of a different date: North Carolina (outcomes as of 6/3/2024) and Minnesota (outcomes as of 6/5/2024). Pennsylvania and Wyoming updated the eligibility status of the cohort, and data may include eligibility actions that occurred after the renewal.<br />\nMarch 2024: The following states reported updated renewal outcomes for the cohort as of a different date: North Carolina (outcomes as of 7/1/2024) and Texas (outcomes as of 7/1/2024). Pennsylvania and Wyoming updated the eligibility status of the cohort, and data may include eligibility actions that occurred after the renewal.\n<br /><b>Metric summation note:</b> Total number of beneficiaries due for renewal in the reporting month (Metric 5) = Total number of beneficiaries due for renewal in the reporting month whose coverage was renewed (Metric 5a) + Total beneficiaries determined ineligible for Medicaid and CHIP  based on the return of a renewal form (Metric 5b) + Total beneficiaries whose coverage was terminated for a procedural or administrative reason (Metric 5c) + Total number of beneficiaries due for renewal in the reporting month whose renewal was pending at the end of the month (Metric 5d); Total number of beneficiaries due for renewal in the reporting month whose coverage was renewed (Metric 5a) = Total beneficiaries renewed on an ex parte basis (i.e., based on available information) (Metric 5a1) + Total beneficiaries renewed based on the return of a renewal form (Metric 5a2).<br />\nThis document includes state updates to their monthly Medicaid and CHIP renewal outcome data submitted to CMS from the Unwinding Data Report. These data include updates to reporting metrics required under section 1902(tt)(1) of the Social Security Act and additional state-submitted renewal metrics.",
      "accessLevel": "public",
      "issued": "2024-04-30T15:07:23Z",
      "modified": "2024-11-01T00:05:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Unwinding",
        "Enrollment"
      ],
      "keyword": [
        "Program Enrollment",
        "Child Enrollment",
        "Eligibility Determinations",
        "Applications",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/updated-renewal-outcomes-october-2024-releasefinal.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/15e1a5b4-0fc1-4278-b5d8-d5d1b498c704",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "March 2024 Updated Medicaid and CHIP Renewal Outcomes",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/march-2024-updated-renewal-outcomes.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "February 2024 Updated Medicaid and CHIP Renewal Outcomes",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/february-2024-updated-renewal-outcomes.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "January 2024 Updated Medicaid and CHIP Renewal Outcomes",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/january-2024-updated-renewal-outcomes.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "December 2023 Updated Medicaid and CHIP Renewal Outcomes",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/december-2023-updated-renewal-outcomes.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "November 2023 Updated Medicaid and CHIP Renewal Outcomes",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/november-2023-updated-renewal-outcomes.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "October 2023 Updated Medicaid and CHIP Renewal Outcomes",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/october-2023-updated-renewal-outcomes.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "September 2023 Updated Medicaid and CHIP Renewal Outcomes",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/september-2023-updated-renewal-outcomes.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "August 2023 Updated Medicaid and CHIP Renewal Outcomes",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/august-2023-updated-renewal-outcomes.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "July 2023 Updated Medicaid and CHIP Renewal Outcomes",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/july-2023-updated-renewal-outcomes.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "June 2023 Updated Medicaid and CHIP Renewal Outcomes",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/june-2023-updated-renewal-outcomes.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "May 2023 Updated Medicaid and CHIP Renewal Outcomes",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/may-2023-updated-renewal-outcomes.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "April 2023 Updated Medicaid and CHIP Renewal Outcomes",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/april-2023-updated-renewal-outcomes.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "March 2023 Updated Medicaid and CHIP Renewal Outcomes",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/march-2023-updated-renewal-outcomes.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2025"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2025 payments grouped by covered recipient and reporting entities",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_CR_BY_AMGPO_PGYR2025_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "e67d3c9f-459a-48eb-849c-c9f9c02de4f9",
      "title": "2025 payments grouped by covered recipient and reporting entities",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2025-01-01",
          "endDate": "2025-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2024 Medical SHOP",
      "identifier": "e68d9ef0-549c-4fec-a91b-781eb865c60e",
      "description": "The Medical SHOP Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2024-08-06T04:00:00Z",
      "modified": "2024-08-14T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "PY2024",
        "QHP Landscape",
        "SHOP Market Medical",
        "QHP",
        "SHOP"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "zip",
          "downloadURL": "https://data.healthcare.gov/datafile/py2024/shop_market_medical.zip"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2024"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "All general (non-research, non-ownership related) payments from the 2024 program year [January 1 – December 31, 2024] <p><strong>NOTE:</strong> This is a very large file and, depending on your network characteristics and software, may take a long time to download or fail to download. Additionally, the number of rows in the file may be larger than the maximum rows your version of <a href=\"https://support.microsoft.com/en-us/office/excel-specifications-and-limits-1672b34d-7043-467e-8e27-269d656771c3\">Microsoft Excel</a> supports. If you can't download the file, we recommend engaging your IT support staff. If you are able to download the file but are unable to open it in MS Excel or get a message that the data has been truncated, we recommend trying alternative programs such as MS Access, Universal Viewer, Editpad or any other software your organization has available for large datasets.</p>",
      "distribution": [
        {
          "title": "General Payment Data – Detailed Dataset 2024 Reporting Year",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/PGYR2024_P06302026_06032026/OP_DTL_GNRL_PGYR2024_P06302026_06032026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://openpaymentsdata.cms.gov/api/1/metastore/schemas/data-dictionary/items/71ec19df-f5ef-5b99-b43b-e566e22670b7",
            "title": "openpaymentsdata.cms.gov"
          },
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "e6b17c6a-2534-4207-a4a1-6746a14911ff",
      "title": "2024 General Payment Data",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2024-01-01",
          "endDate": "2024-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "General Payments"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "prodAuto_states_measures",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-13T13:41:41Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "states_measures csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/states_measures.csv",
          "description": "{\"dataset\": \"states_measures\", \"stage\": \"prodAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "e6bda299-3940-5edc-8ef9-7af3d675d14e",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 08-10-2026 to 08-16-2026",
      "identifier": "e6d808e1-913a-429f-8932-1678ce7dfc92",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2026-08-17T17:10:16Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-08-10-2026-to-08-16-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rate PUF – PY2023",
      "identifier": "e6deb20e-dd27-495b-8eb1-c67db7bbd788",
      "description": "The Rate PUF (Rate-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The Rate-PUF contains plan-level data on rates based on an eligible subscriber’s age, tobacco use, and geographic location; and family-tier rates.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2023-08-09T04:00:00Z",
      "modified": "2023-08-16T04:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Rate",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2023"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/datafile/py2023/rate_puf.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/c14eac80-8cd0-4a53-8132-2e8385ad9b46",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CoreSEt state v2.10.14 (coreset-dev)",
      "identifier": "e707d154-79f4-5aea-a692-1a51a540007f",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-11-06T01:24:29Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoreSEt state v2.10.14 (coreset-dev)",
          "description": "CoreSEt state v2.10.14 (coreset-dev)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.14/20241029/state.csv"
        }
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Benefit Package for Medicaid and CHIP Beneficiaries by Month",
      "identifier": "e7d5089e-647c-4aa7-8c7b-f98dd8ea3852",
      "description": "This data set includes monthly enrollment counts of Medicaid and CHIP beneficiaries by benefit package (full-scope, comprehensive, limited, or unknown). \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating these measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable or of high concern based on DQ Atlas thresholds for the topic Restricted Benefits Code. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T16:36:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Program Enrollment",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Benefit Package for Medicaid and CHIP Beneficiaries by Month",
          "description": "This data set includes monthly enrollment counts of Medicaid and CHIP beneficiaries by benefit package (full-scope, comprehensive, limited, or unknown). \r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating these measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable or of high concern based on DQ Atlas thresholds for the topic Restricted Benefits Code. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. \r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/BenefitPackage-montly.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/c8f8c245-a083-4bb8-8d1b-25948ec84676",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Machine Readable PUF - PY2025",
      "identifier": "e839d4df-6c9c-435d-a48d-fd790b2897a6",
      "description": "The Machine Readable PUF (MR-PUF) is one of the files that comprise the Health Insurance Exchange Public Use Files. The MR-PUF contains issuer-level URL locations for machine-readable network provider and formulary information.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2025-10-22T04:00:00Z",
      "modified": "2025-10-28T22:00:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Machine Readable",
        "Exchange PUF",
        "Marketplace PUF",
        "PY2025"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "xlsx",
          "downloadURL": "https://data.healthcare.gov/datafile/py2025/machine_readable_PUF.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "e84d-d357",
      "title": "Gynecological Oncology Office Visit Costs",
      "description": "Returns gynecological oncology office visit costs per zip code for new and established patients.",
      "keyword": [
        "Gynecological Oncology"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/886e56a8813d4e143c15e52072bf2c32_1722902730/Gynecological_Oncology.csv",
          "mediaType": "text/csv",
          "title": "Gynecological_Oncology.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Gynecological Oncology Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/e84d-d357"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2023 Child and Adult Health Care Quality Measures Quality",
      "identifier": "e85033c7-367e-467e-9e81-8e85048102b8",
      "description": "Performance rates on frequently reported health care quality measures in the CMS Medicaid/CHIP Child and Adult Core Sets, for FFY 2023 reporting.\r\n\r\nSource: Mathematica analysis of MACPro and Form CMS-416 reports for the FFY 2023 reporting cycle. Dataset revised September 2024. For more information, see the Children's Health Care Quality Measures and Adult Health Care Quality Measures webpages.",
      "accessLevel": "public",
      "modified": "2025-10-09T14:30:45Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Quality"
      ],
      "keyword": [
        "Performance Rates",
        "Core Sets",
        "Quality Measures"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/2023-child-and-adult-health-care-quality-measures.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/8f48dac1-fd84-489a-86be-1b16963d5651",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "identifier": "e8a6db6a-a540-46aa-b04c-e216e2c72618",
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2024"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "Groups payment data by state, recipient type, and nature of payment.",
      "distribution": [
        {
          "title": "2024 state-level payment total and averages by Nature of Payment",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_NTR_OF_PYMT_BY_STATE_SMRY_PGYR2024_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "title": "2024 state payment totals grouped by Nature of Payment for all years",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2024-01-01",
          "endDate": "2024-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Scorecard measure",
      "identifier": "e8ec5dc4-7904-52d4-8ce9-73c2fb188514",
      "description": "This is a dataset created for use by the Scorecard website, and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "modified": "2023-03-24T15:26:51Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "DataConnect Support Team",
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [],
      "references": [
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "AB Suspension and Termination List",
      "identifier": "e8uy-7rnp",
      "description": "Access Data Dictionary Here - <a href=\"https://www.cms.gov/CCIIO/Programs-and-Initiatives/Health-Insurance-Marketplaces/Downloads/7716-AB-RegistrationTermination-List-Data-Dictionary-Web_1.pdf\">Data Dictionary (PDF)</a>",
      "accessLevel": "public",
      "issued": "2016-05-03T01:01:37Z",
      "modified": "2026-09-25T13:22:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "FFMProducer-AssisterHelpDesk",
        "hasEmail": "mailto:FFMProducer-AssisterHelpDesk@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/AB_Termination_List_963.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/9e42fe66-ae43-44a4-97b8-24a8ff815105",
            "title": "data.healthcare.gov"
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      ],
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    },
    {
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      "distribution": [
        {
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      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
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      "modified": "2020-04-20",
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          "endDate": "2003-12-31T11:59:59Z"
        }
      ],
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      ],
      "title": "Localities for 2003",
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      "inventoried": "2026-09-27"
    },
    {
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      "title": "Certified Clinical Nurse Specialist Office Visit Costs",
      "description": "Returns certified clinical nurse specialist office visit costs per zip code for new and established patients.",
      "keyword": [
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        "accessURL": "https://data.medicare.gov/provider-data/dataset/ea2d-9467"
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      "distribution": [
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    },
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      "@type": "Dataset",
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      "modified": "2025-10-20T12:40:00Z",
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    },
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      "contactPoint": [
        {
          "@type": "Kind",
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      "distribution": [
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "eb4y-d4ic",
      "title": "CDC STATE System Tobacco Legislation - Licensure",
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      "contactPoint": [
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                "name": "U.S. Department of Health and Human Services"
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            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-01",
      "issued": "2014-07-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Legislation"
        }
      ],
      "keyword": [
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        "tobacco",
        "state system",
        "policy",
        "osh",
        "legislation"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health"
      },
      "rightsHolder": [
        {
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          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
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      ],
      "creator": {
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        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
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        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "OSHData Support"
      },
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          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/eb4y-d4ic",
          "downloadURL": "https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Licensure/eb4y-d4ic/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-04-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/eb4y-d4ic",
            "title": "CDC STATE System Tobacco Legislation - Licensure"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Contraceptive Care Services Provided to Medicaid and CHIP Beneficiaries ages 15 to 44",
      "identifier": "eb88943c-309d-440f-a2d5-ef93e066d83c",
      "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of contraceptives, including any contraceptives and long-acting reversible contraceptives, provided to female Medicaid and CHIP beneficiaries ages 15 to 44 (as of the first day of the month), by state. \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating contraceptive care services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T14:53:46Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Contraceptives",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "DQ (Data Quality) Atlas"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Contraceptive Care Services Provided to Medicaid and CHIP Beneficiaries ages 15 to 44",
          "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of contraceptives, including any contraceptives and long-acting reversible contraceptives, provided to female Medicaid and CHIP beneficiaries ages 15 to 44 (as of the first day of the month), by state. \r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating contraceptive care services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/Contraceptive-Care-Services-Provided-to-MedicaidCHIP-Beneficiaries-ages-15-to-44.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6fc88632-aa0b-499c-ac64-af93f07b3b19",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CHIP Applications, Eligibility Determinations, and Enrollment Data",
      "identifier": "eba2c172-07ba-4a6a-877e-5373ca442243",
      "description": "All states (including the District of Columbia) are required to provide data to The Centers for Medicare &amp; Medicaid Services (CMS) on a range of indicators related to key application, eligibility, and enrollment processes within the state Medicaid and Children’s Health Insurance Programs (CHIP). These data reflect enrollment activity for all populations receiving comprehensive Medicaid and CHIP benefits in all states, as well as state program performance.",
      "accessLevel": "public",
      "modified": "2022-04-27T11:46:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Enrollment"
      ],
      "keyword": [
        "Child Enrollment",
        "Eligibility Determinations",
        "Applications",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "State Medicaid and CHIP Applications, Eligibility Determinations, and Enrollment Data-09012021",
          "description": "All states (including the District of Columbia) are required to provide data to The Centers for Medicare &amp; Medicaid Services (CMS) on a range of indicators related to key application, eligibility, and enrollment processes within the state Medicaid and Children’s Health Insurance Programs (CHIP). These data reflect enrollment activity for all populations receiving comprehensive Medicaid and CHIP benefits in all states, as well as state program performance.",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/StateMedicaidandCHIPApplicationsEligibilityDeterminationsandEnrollmentData04282022.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2025 Dental SHOP",
      "identifier": "ebbf57d1-2e47-4289-9799-d251e79b2ff6",
      "description": "The Dental SHOP Market file of the QHP Landscape Files contains information on certified dental plans offered through an Exchange to employers in the Small Business Health Options Program (SHOP) market. These plans are also known as Stand-alone Dental Plans (SADPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2025-08-06T04:00:00Z",
      "modified": "2025-08-12T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "SHOP",
        "SADP",
        "SHOP Market Dental",
        "QHP Landscape",
        "2025"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "zip",
          "downloadURL": "https://data.healthcare.gov/datafile/py2025/shop_market_dental.zip"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Medicaid and CHIP CAA Reporting Metrics",
      "identifier": "ebcfc16f-8291-4c61-82a4-055846d72f3a",
      "description": "State-reported data on Medicaid and CHIP eligibility renewals conducted during the reporting period and call center operations\n<br /><b>Sources:</b> <br />(1) March and April 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of June 13, 2023. Florida's March and April 2023 Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of June 05, 2023. May 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of July 12, 2023. Florida's May 2023 Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of July 03, 2023. June 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of August 16, 2023. Florida's June 2023 Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of July 31, 2023. July 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of September 12, 2023. August 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of October 23, 2023. September 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of November 07, 2023. Delaware’s September state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of November 28, 2023. October 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of December 05, 2023. November 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of January 05, 2024. December 2023 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of February 08, 2024. January 2024 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of March 05, 2024. February 2024 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of April 02, 2024. The total number of Medicaid and CHIP beneficiaries for whom a renewal was initiated in the reporting month (metric 4) for Idaho and Nebraska as of April 12, 2024. March 2024 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of May 07, 2024. April 2024 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of June 11, 2024. May 2024 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of July 02, 2024. June 2024 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of August 06, 2024. July 2024 state Medicaid and CHIP Renewal and Termination Data for the Unwinding Data Report as of September 09, 2024. (2) Call Center Data from the Medicaid and CHIP Eligibility and Enrollment Performance Indicator Data as of September 10, 2024.<br />\t\n<b>Notes:</b> For all states, data may be affected by mitigation strategies in place, such as those related to ex parte functionality. Georgia reported data for individuals who continue to be eligible following a change in circumstances and were granted a new 12-month eligibility period during the April - July 2024 reporting periods, along with data on individuals due for renewal in these months. South Dakota did not initiate or complete renewals in the March - July 2024 reporting period due to a mitigation strategy for ex parte functionality. South Dakota did not initiate renewals in the February 2024 reporting period due to a mitigation strategy for ex parte functionality. Due to temporary renewal process changes, most renewals due in Iowa, including ex parte renewals, were not completed by the end of the reporting month for the December 2023 - February 2024 reporting periods. Hawaii and Vermont experienced a natural disaster, and the number of renewals initiated and completed in the reporting period were impacted due to the disaster response efforts in the month of August 2023. South Carolina does not have renewal outcomes to report in the month of July 2023. Massachusetts reports the dispositions of renewals completed in the reporting period. Therefore, the state is unable to report the number of pending renewals to CMS, and Massachusetts’ data are excluded from the national totals for the May - July 2023 reporting periods. Vermont experienced a natural disaster, and the number of renewals initiated and completed in the July 2023 reporting period were impacted due to the disaster response efforts. Texas does not have renewal outcomes to report in the month of June 2023. For the May 2023 reporting period, Texas’ renewal disposition data include actions completed after the end of the reporting period. For the April 2023 reporting period, Iowa's renewal disposition data include actions completed after the end of the reporting period. States report renewal outcomes for a cohort in the month renewals are scheduled for completion. States that held procedural terminations reflect these data in metric 5d as pending renewals along with renewals that were due but not completed by the end of the reporting period. See the Data Sources and Metrics Definitions Overview document for a full description of the metric definitions and how they relate to each other.<br />\nStarting in the February 2024 reporting period, state-specific data may vary depending on states' unwinding timelines. State-specific data may include both unwinding renewals, or renewals conducted following the end of the continuous enrollment condition, and \"regular\", or non-unwinding renewals.\n<br /><b>Metric summation note:</b> Total number of beneficiaries due for renewal in the reporting month (Metric 5) = Total number of beneficiaries due for renewal in the reporting month whose coverage was renewed (Metric 5a) + Total beneficiaries determined ineligible for Medicaid and CHIP based on the return of a renewal form (Metric 5b) + Total beneficiaries whose coverage was terminated for a procedural or administrative reason (Metric 5c) + Total number of beneficiaries due for renewal in the reporting month whose renewal was pending at the end of the month (Metric 5d); Total number of beneficiaries due for renewal in the reporting month whose coverage was renewed (Metric 5a) = Total beneficiaries renewed on an ex parte basis (i.e., based on available information) (Metric 5a1) + Total beneficiaries renewed based on the return of a renewal form (Metric 5a2).<br />\t\n<b>Data notes:</b> \n(C1) Callbacks are included<br />\n(C2) Call centers offer callbacks<br />\n(C3) Does not include all calls received by call centers<br />\n(C4) Does not include all calls received after business hours<br />\n(C5) Includes calls for other benefit programs<br />\n(C6) Includes only calls transferred to a live agent<br />\n(C7) Includes state-based marketplace (SBM) data <br />\n(C8) New call center added in reporting period<br />\n(C9) Wait times for callbacks are included but reported separately from live calls<br />\n(C10) Does not operate a call center<br />\n(C11) Calls handled to completion by the automated system are counted as abandoned calls<br />\n(C12) Did not report data because of technical reasons<br />\n(C13) Wait time reflects time spent on hold after the call is answered by a live agent<br />\n(R1) Initiated two months' renewals due to delayed system modifications<br />\n(R2) Data do not reflect all Medicaid and CHIP enrollees with renewal actions in the reporting period <br />\n(R3) Reporting renewals at case level, as opposed to individual level<br />\n(R4) State held some or all procedural and/or other terminations for the report month <br />\n(R5) State implemented other mitigation strategies related to submission of renewal forms <br />\n(R6) Data reflect renewals and other eligibility and enrollment actions<br />\n(R7) Data represent Medicaid and CHIP enrollees whose renewal was completed in the reporting month    \n          rather than the cohort due for renewal in the reporting month<br />\n(R8) Data undercount renewals and reflect these outcomes in another metric in the data set<br />\n(R9) Data include renewals held and reassigned to a future month<br />\n(R10) State only processed renewals in the report month that could be completed on an ex parte basis\n<br />\nThis document includes Medicaid and CHIP data submitted to CMS by states regarding the number of renewals initiated and monthly renewal outcomes from the Unwinding Data Report and call center data from the Medicaid and CHIP Performance Indicator data set. These data include reporting metrics consistent with section 1902(tt)(1) of the Social Security Act and additional state-submitted renewal metrics.",
      "accessLevel": "public",
      "issued": "2023-07-28T13:19:55Z",
      "modified": "2024-10-31T17:25:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Unwinding",
        "Enrollment"
      ],
      "keyword": [
        "Program Enrollment",
        "Child Enrollment",
        "Eligibility Determinations",
        "Applications",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Medicaid and CHIP CAA Reporting Metrics",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-chip-caa-reporting-metrics-long-table-october-2024-release.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/bf09b0b8-074e-49f0-a989-81d869570ffa",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "July 2024 Medicaid and CHIP CAA Reporting Metrics",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-report-wide-oct-release_508.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "June 2024 Medicaid and CHIP CAA Reporting Metrics",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-report-wide-september-2024-release.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "May 2024 Medicaid and CHIP CAA Reporting Metrics",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-report-wide-august-2024-release.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "April 2024 Medicaid and CHIP CAA Reporting Metrics",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-report-wide-july-2024-release.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "March 2024 Medicaid and CHIP CAA Reporting Metrics",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-report-wide-jun-2024-release.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "February 2024 Medicaid and CHIP CAA Reporting Metrics",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-report-wide-may-2024-release.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "January 2024 Medicaid and CHIP CAA Reporting Metrics",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-report-wide-april-2024-release.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "December 2023 Medicaid and CHIP CAA Reporting Metrics",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-report-wide-march-2024-release.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "November 2023 Medicaid and CHIP CAA Reporting Metrics",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-report-wide-february-2024-release.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "October 2023 Medicaid and CHIP CAA Reporting Metrics",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-report-wide-january-2024-release.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "September 2023 Medicaid and CHIP CAA Reporting Metrics",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-report-wide-dec-release.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "August 2023 Medicaid and CHIP CAA Reporting Metrics",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-report-wide-nov-release.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "July 2023 Medicaid and CHIP CAA Reporting Metrics",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-report-wide-oct-release.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "June 2023 Medicaid and CHIP CAA Reporting Metrics",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-report-wide-sep-release_508.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "May 2023 Medicaid and CHIP CAA Reporting Metrics",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-report-wide-august-release-508.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "March and April 2023 Medicaid and CHIP CAA Reporting Metrics",
          "format": "xlsx",
          "downloadURL": "https://download.medicaid.gov/data/medicaid-report-wide-july-release.xlsx",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "featAuto_measure_compare_download",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-09-25T14:18:32Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_featAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_compare_download csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20250924_ETL_DEV/measure_compare_download.csv",
          "description": "{\"dataset\": \"measure_compare_download\", \"stage\": \"featAuto\", \"update_id\": \"20250924_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "ec0abffe-206c-506c-8d53-5df5524758d5",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 07-20-2026 to 07-26-2026",
      "identifier": "ec0c76e8-910d-4a6d-a5c8-ee7441ac3161",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2026-07-27T13:39:49Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-07-20-2026-to-07-26-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 1993",
      "identifier": "ec0d4b04-55bc-56d1-bff5-280f68915442",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T14:27:17Z",
      "modified": "2026-04-03T15:06:26Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-1993.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2023"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "Research Payment Data – Detailed Dataset 2023 Reporting Year\nAll research-related payments from the 2023 program year [January 1 – December 31, 2023]",
      "distribution": [
        {
          "title": "Research Payment Data – Detailed Dataset 2023 Reporting Year",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/PGYR2023_P06302026_06032026/OP_DTL_RSRCH_PGYR2023_P06302026_06032026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://openpaymentsdata.cms.gov/api/1/metastore/schemas/data-dictionary/items/618ebb0f-b9c8-5efd-a374-bd8e7665d5f8",
            "title": "openpaymentsdata.cms.gov"
          },
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "ec9521bf-9d97-4603-814c-f4132d34bc4f",
      "title": "2023 Research Payment Data",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2023-01-01",
          "endDate": "2023-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Research Payments"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard FILTERS v0.3.58-test (local)",
      "modified": "2023-08-08T14:14:57Z",
      "distribution": [],
      "identifier": "ec9aaf6f-f7e4-560d-8db1-a297ace39b5f",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "ecb7-cb46",
      "title": "Licensed Clinical Social Worker Office Visit Costs",
      "description": "Returns licensed clinical social worker office visit costs per zip code for new and established patients.",
      "keyword": [
        "Licensed Clinical Social Worker"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/dff1a91fe1de17b31f80684d46e53ad9_1722902740/Licensed_Clinical_Social_Worker.csv",
          "mediaType": "text/csv",
          "title": "Licensed_Clinical_Social_Worker.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Licensed Clinical Social Worker Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/ecb7-cb46"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2014 Dental SHOP",
      "identifier": "ed2e896a-d54c-48a3-b617-e26931b7a6eb",
      "description": "Dataset.",
      "accessLevel": "public",
      "modified": "2025-08-01T04:00:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/PY%202014%20Dental-SHOP-Landscape-Inst.pdf"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Respiratory Conditions in the Medicaid and CHIP Population",
      "identifier": "ed35fa7f-279b-4d68-b624-b6ff32e956df",
      "description": "This data set includes monthly counts and percentages of Medicaid and CHIP beneficiaries, by state, who received at least one service for each of the following conditions: acute bronchitis, acute respiratory distress, bronchitis not other specified (NOS), COVID-19 (based on the presence of diagnosis code U07.1), influenza, lower or acute respiratory infection, pneumonia, respiratory infection NOS, and suspected COVID-19 (based on the presence of diagnosis code B97.29).\n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating COVID-related conditions measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2025-10-20T12:00:00Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "COVID-19",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Respiratory Conditions in the Medicaid and CHIP Population",
          "description": "This data set includes monthly counts and percentages of Medicaid and CHIP beneficiaries, by state, who received at least one service for each of the following conditions: acute bronchitis, acute respiratory distress, bronchitis not other specified (NOS), COVID-19 (based on the presence of diagnosis code U07.1), influenza, lower or acute respiratory infection, pneumonia, respiratory infection NOS, and suspected COVID-19 (based on the presence of diagnosis code B97.29).\r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating COVID-related conditions measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/Respiratory-Conditions-in-the-MedicaidCHIP-Population10202025.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Perinatal Care Services Provided to Medicaid and CHIP Beneficiaries ages 15 to 44",
      "identifier": "ed67e610-aed3-4bed-842f-e6044511dd64",
      "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of perinatal care, including prenatal visits, prenatal bundled payments, postpartum visits, and postpartum bundled payments, for female Medicaid and CHIP beneficiaries ages 15 to 44 (as of the first day of the month), by state. \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating perinatal care measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas  for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T14:58:01Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Perinatal Care",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Perinatal Care Services Provided to Medicaid and CHIP Beneficiaries ages 15 to 44",
          "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of perinatal care, including prenatal visits, prenatal bundled payments, postpartum visits, and postpartum bundled payments, for female Medicaid and CHIP beneficiaries ages 15 to 44 (as of the first day of the month), by state. \r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating perinatal care measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas  for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/Perinatal-Care-Services-Provided-to-MedicaidCHIP-Beneficiaries-ages-15-to-44.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "implAuto_footnotes",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-05T18:10:13Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_implAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "footnotes csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/footnotes.csv",
          "description": "{\"dataset\": \"footnotes\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "ed77b0e4-49a3-5f10-a2e2-b3878abb7c76",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "Hospice QRP Public Reporting Help Desk",
        "hasEmail": "mailto:HospicePRquestions@cms.hhs.gov"
      },
      "description": "State data on the quality of patient care measures.",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/87f2fff40b9aa6021df6b9e27234769c_1786385145/Hospice_State_Aug2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospice/HOSPICE_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "eda0-92f0",
      "issued": "2026-08-07",
      "keyword": [
        "Measures",
        "Quality",
        "State",
        "Average",
        "Quality Reporting Program"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Hospice - State Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/eda0-92f0"
      },
      "modified": "2026-08-07",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "released": "2026-08-26",
      "theme": [
        "Hospice care"
      ],
      "title": "Hospice - State Data",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "implAuto_fileType_measureDisplayGroups",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-05T18:10:13Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_implAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "fileType_measureDisplayGroups csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/fileType_measureDisplayGroups.csv",
          "description": "{\"dataset\": \"fileType_measureDisplayGroups\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "edbb579b-1056-5cb6-99b9-16f4dafbd27e",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "edkk-ze78",
      "title": "Non-Medical Factor Measures for Place, ACS 2017-2021",
      "description": "This dataset contains place-level (incorporated and census-designated places) non-medical factor measures from the American Community Survey 5-year data for the entire United Statesâ€”50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-10-26",
      "issued": "2023-10-20",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "places",
        "non-medical factor",
        "acs",
        "estimates",
        "place"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Non-Medical Factor Measures for Place, ACS 2017-2021",
          "description": "This dataset contains place-level (incorporated and census-designated places) non-medical factor measures from the American Community Survey 5-year data for the entire United Statesâ€”50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",
          "accessURL": "https://data.cdc.gov/d/edkk-ze78",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/Non-Medical-Factor-Measures-for-Place-ACS-2017-202/edkk-ze78/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-10-26",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/edkk-ze78",
            "title": "Non-Medical Factor Measures for Place, ACS 2017-2021"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Prematurity and severe maternal morbidity among Medicaid- and CHIP-covered live births",
      "identifier": "ee3b9534-0d19-4c1b-bf74-43f898d5de7c",
      "description": "This data set includes annual counts and rates of Medicaid- and Children’s Health Insurance Program (CHIP)-covered live-birth deliveries that were preterm or with a severe maternal morbidity (SMM) condition within six weeks before or after delivery. Results are shown overall; by state; and by four subpopulation topics: age group, race and ethnicity, disability-related eligibility category, and type of SMM condition (SMM category only). \nThese results were generated using Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF) Release 1 data and the Race/Ethnicity Imputation Companion File. This data set includes Medicaid and CHIP enrollees in all 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands, who were ages 15 to 49 as of their delivery date, who were enrolled in Medicaid or CHIP at any point in the calendar year, and who had a live birth. Enrollees in Guam, American Samoa, the Northern Mariana Islands, and select states with TAF data quality issues are not included. Results shown for the race and ethnicity subpopulation topic exclude enrollees in the U.S. Virgin Islands. Results for SMM are calculated per 10,000 Medicaid- and CHIP-covered live births. Results for states with TAF data quality issues in the year have a value of \"Unusable data.\" Some rows in the data set have a value of \"DS,\" which indicates that data were suppressed according to the Centers for Medicare &amp; Medicaid Services’ Cell Suppression Policy for values between 1 and 10.\n\nThis data set is based on the brief: \"Prematurity and severe maternal morbidity among Medicaid- and CHIP-covered live births in 2021.\" Preterm birth is defined as a live birth that occurs before the 37th week of gestation. SMM deliveries are defined as live births with an SMM condition within six weeks before or after delivery (Identifying Severe Maternal Morbidity (SMM)). Enrollees are assigned to an age group subpopulation using age as of their delivery date. Enrollees are assigned to a race and ethnicity subpopulation using the state-reported race and ethnicity information in TAF when it is available and of good quality; if it is missing or unreliable, race and ethnicity is indirectly estimated using an enhanced version of Bayesian Improved Surname Geocoding (BISG) (Race and ethnicity of the national Medicaid and CHIP population in 2020). Enrollees are assigned to a disability category subpopulation using their latest reported eligibility group code and age in the year (Medicaid enrollees who qualify for benefits based on disability in 2020). Please refer to the full brief for additional context about the methodology and detailed findings. Future updates to this data set will include more recent data years as the TAF data become available.",
      "accessLevel": "public",
      "modified": "2025-01-17T15:41:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Medicaid",
        "Children's Health Insurance Program (CHIP)",
        "Maternal Health",
        "Preterm Birth",
        "Severe Maternal Morbidity",
        "T-MSIS Analytic Files (TAF)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/preterm-birth-and-smm-2020-2022-01172025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6f45c414-81de-40aa-9a5b-86af831c6ec0",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2021",
      "identifier": "eec7fbe6-c4c4-5915-b3d0-be5828ef4e9d",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq",
      "accessLevel": "public",
      "issued": "2021-07-27T10:32:32Z",
      "modified": "2026-07-13T16:12:19Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/sdud2021_updatedJuly2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2024 Managed Care Programs By State",
      "identifier": "ef16c490-861a-4b1f-9e6d-f321abdcaab1",
      "description": "The Managed Care Program Features lists characteristics of each state’s Medicaid managed care programs, including federal operating authority, population enrolled, and benefits covered.",
      "accessLevel": "public",
      "modified": "2026-02-11T19:48:14Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/managed-care-program-by-state-2024.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Network PUF - PY2021",
      "identifier": "efch-75vp",
      "description": "The Network PUF (Ntwrk-PUF) is one of the seven files that make up the Marketplace PUF. The Ntwrk-PUF contains issuer-level data identifying provider network URLs. These data either originate from the Network ID template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2020-10-09T15:44:43Z",
      "modified": "2021-08-11T12:58:35Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andy Elkins",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/network-puf-2021.efch-75vp.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/60ed5f1e-195d-4027-9073-7a4b6254e823",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard TAG v0.2.4-1 (etl_test)",
      "identifier": "efd0a509-1e9e-583c-90c8-63cac4338c19",
      "modified": "2023-05-15T18:44:10Z",
      "distribution": [],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Business Rules PUF - PY2020",
      "identifier": "egd3-t6cg",
      "description": "The Business Rules PUF (BR-PUF) is one of the files that make up the Marketplace PUF. The BR-PUF contains plan-level data on the application of rates, such as allowed relationships (e.g., spouse, dependents) and tobacco use. These data either originate from the Business Rules template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2019-10-22T11:11:42Z",
      "modified": "2020-10-23T15:07:52Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Ashley Van Scyoc",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/business-rules-puf-2020.egd3-t6cg.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/6ff72911-eaa3-4ea1-af9e-a2ca8baf859a",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan ID Crosswalk PUF - PY2021",
      "identifier": "eh65-eh2p",
      "description": "The Plan ID Crosswalk PUF (CW-PUF) is one of the files that make up the Marketplace PUF. The purpose of the CW-PUF is to map QHPs and SADPs offered through the Marketplaces in 2020 to plans that will be offered through the Marketplaces in 2021. These data either originate from the Plan Crosswalk template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).This data dictionary describes the variables contained in the CW-PUF. Each record relates to a mapping between a plan offered in 2020 and a plan offered in 2021 at the county or county-zip code level.",
      "accessLevel": "public",
      "issued": "2020-10-09T15:54:00Z",
      "modified": "2021-02-04T19:09:12Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andy Elkins",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/plan-id-crosswalk-puf-2021.eh65-eh2p.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/ef2b8018-bce8-4cc2-bb49-233329301f08",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan Attributes PUF - PY2016",
      "identifier": "ehha-ptm6",
      "description": "The Plan Attributes PUF (Plan-PUF) is one of the seven files that make up the Marketplace PUF. The Plan-PUF contains plan-level data on maximum out of pocket payments, deductibles, cost sharing, health savings account (HSA) eligibility, formulary ID, and other plan attributes. These data either originate from the Plans &amp; Benefits template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated). The issuer can also import data created in other templates (e.g., Network IDs from the Network ID template, Service Area IDs from the Service Area template, and Formulary IDs from the Prescription Drug template) to use as allowable values for the applicable fields in the Plans &amp; Benefits template, or enter these values manually.",
      "accessLevel": "public",
      "issued": "2015-11-10T16:16:39Z",
      "modified": "2016-08-12T14:48:37Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Balaji",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/plan-attributes-puf-2016.ehha-ptm6.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/43e907db-526d-4b6e-9306-8b7d6b772316",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "em5e-5hvn",
      "title": "PLACES: Local Data for Better Health, Census Tract Data 2023 release",
      "description": "This dataset contains model-based census tract estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for seven measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-07-10",
      "issued": "2024-07-10",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "risk",
        "brfss",
        "status",
        "prevalence",
        "outcomes",
        "prevention",
        "places",
        "health",
        "disability",
        "census tract",
        "behaviors"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, Census Tract Data 2023 release",
          "description": "This dataset contains model-based census tract estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for seven measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/em5e-5hvn",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/em5e-5hvn/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-07-10",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/em5e-5hvn",
            "title": "PLACES: Local Data for Better Health, Census Tract Data 2023 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Census Tract Data Series, 2020-2025",
          "description": "This dataset contains model-based census tract-level estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia (DC) at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2017 Individual Medical",
      "identifier": "enpz-m4q6",
      "description": "For instructions on how to read and use this data, visit https://data.healthcare.gov/download/kezr-bg23/application%2Fpdf",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2016-11-07T16:45:40Z",
      "modified": "2017-05-24T17:49:29Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Eze Onuoha",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2017_qhp_landscape_individual_market_medical.enpz-m4q6.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/39cc02fc-a5af-4f1a-bcb0-aafff3d3992f",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "epbn-9bv3",
      "title": "PLACES: Local Data for Better Health, Place Data 2022 release",
      "description": "This dataset contains model-based place (incorporated and census-designated places) level estimates for the PLACES 2022 release. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at   www.cdc.gov/places.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-06-15",
      "issued": "2023-06-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "behaviors",
        "brfss",
        "outcomes",
        "place",
        "places",
        "prevalence",
        "prevention",
        "risk",
        "status",
        "health",
        "city"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, Place Data 2022 release",
          "description": "This dataset contains model-based place (incorporated and census-designated places) level estimates for the PLACES 2022 release. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at   www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/epbn-9bv3",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Place-Data-202/epbn-9bv3/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-06-15",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/epbn-9bv3",
            "title": "PLACES: Local Data for Better Health, Place Data 2022 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Place Data Series, 2020-2025",
          "description": "This dataset contains model-based place (incorporated and census-designated places) estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "escb-scz6",
      "title": "SAMHSA Synar Reports: Youth Tobacco Sales",
      "description": "1997-2018. Substance Abuse and Mental Health Services Administration (SAMHSA). Synar Reports: Youth Tobacco Sales. Policy  –  Youth Tobacco Sales. SAMHSAâ€™s Synar Report on Youth Tobacco Sales presents findings on compliance of the Synar Amendment aimed at decreasing youth access to tobacco, and reviews progress in enforcing State youth tobacco access laws and in reducing the percentage of retailers selling tobacco products to minors.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2020-07-14",
      "issued": "2014-05-27",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Policy"
        }
      ],
      "keyword": [
        "office on smoking and health",
        "cdc",
        "osh",
        "tobacco",
        "youth tobacco sales"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.samhsa.gov/synar",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.samhsa.gov/synar",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "SAMHSA Synar Reports: Youth Tobacco Sales",
          "description": "1997-2018. Substance Abuse and Mental Health Services Administration (SAMHSA). Synar Reports: Youth Tobacco Sales. Policy – Youth Tobacco Sales. SAMHSA's Synar Report on Youth Tobacco Sales presents findings on compliance of the Synar Amendment aimed at decreasing youth access to tobacco, and reviews progress in enforcing State youth tobacco access laws and in reducing the percentage of retailers selling tobacco products to minors.",
          "accessURL": "https://data.cdc.gov/d/escb-scz6",
          "downloadURL": "https://data.cdc.gov/Policy/SAMHSA-Synar-Reports-Youth-Tobacco-Sales/escb-scz6/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2020-07-14",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/escb-scz6",
            "title": "SAMHSA Synar Reports: Youth Tobacco Sales"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "ese6-rqpq",
      "title": "CDC PRAMStat Data for 2011",
      "description": "2011.  Centers for Disease Control and Prevention (CDC).  PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments.  PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy.\nData will be updated annually as it becomes available.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "the Pregnancy Risk Assessment Monitoring System",
          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2017-02-21",
      "issued": "2015-03-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Maternal & Child Health"
        }
      ],
      "keyword": [
        "stress",
        "abuse",
        "alcohol use",
        "breastfeeding",
        "contraception",
        "infant health",
        "medicaid",
        "mental health",
        "morbidity",
        "obesity",
        "preconception health",
        "pregnancy history",
        "prenatal care",
        "reproductive health",
        "sleep behavior",
        "smoke exposure",
        "tobacco use",
        "unintended pregnancy",
        "wic"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/prams/index.htm",
        "title": "Centers for Disease Control and Prevention Division of Reproductive Health Pregnancy Risk Assessment Monitoring System (PRAMS)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/prams/index.htm",
        "title": "DRH Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC PRAMStat Data for 2011",
          "description": "2011.  Centers for Disease Control and Prevention (CDC).  PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments.  PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy.\nData will be updated annually as it becomes available.",
          "accessURL": "https://data.cdc.gov/d/ese6-rqpq",
          "downloadURL": "https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2011/ese6-rqpq/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2017-02-21",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/ese6-rqpq",
            "title": "CDC PRAMStat Data for 2011"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "CDC PRAMStat Dataset Series",
          "description": "PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rate PUF - PY2019",
      "identifier": "esht-9tqi",
      "description": "The Rate PUF (Rate-PUF) is one of the files that make up the Marketplace PUF. The Rate-PUF contains plan-level data on individual rates based on an eligible subscriber’s age, tobacco use, and geographic location. These data either originate from the Rate Table template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2018-10-25T12:27:50Z",
      "modified": "2019-10-21T21:15:11Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Jennings",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/rate-puf-2019.esht-9tqi.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/ebc802df-e2ef-433e-9d22-64467af664b5",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Health IT Policy Levers Activities Catalog",
      "description": "The Health IT State Policy Levers Compendium was developed by the Office of National Coordinator for Health Information Technology (ONC) in coordination with states. It is intended to support state efforts to advance interoperability and can also be used in service of delivery system reform. The Compendium includes a directory of health IT policy levers and nearly 300 examples of how states have used them. The 'Activities Catalog' includes the over 300 documented examples of health IT policy levers in use by states. The catalog data includes the states using the policy lever to promote health IT and advance interoperability, the state's documented activities, and official information source for these activities.",
      "identifier": "exxucmj0-ey0t-ofmw-ehjp-yknmz432m3og",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State Health IT Policy Levers Activities Catalog landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/state-health-it-policy-levers-activities-catalog"
      },
      "modified": "2015-12-16",
      "accrualPeriodicity": "annually",
      "keyword": [
        "health information technology",
        "health IT",
        "State HIE",
        "State Health IT policies",
        "health information exchange",
        "patient engagement",
        "EHR"
      ],
      "relation": [
        "https://www.healthit.gov/data/apps/state-health-it-policy-levers-compendium"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "ey8b-ejrf",
      "title": "2021 Final Assisted Reproductive Technology (ART) Success Rates",
      "description": "Data were updated on September 11, 2024.\n\nART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all â€œPatients using their own eggsâ€ or for â€œPatients with no prior ART using their own eggs.â€ For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parentâ€™s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered researchâ€”that is, cycles performed to evaluate new procedures.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National ART Surveillance System",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
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        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-12-18",
      "issued": "2024-12-10",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Assisted Reproductive Technology (ART)"
        }
      ],
      "keyword": [
        "clinic",
        "infertility",
        "services",
        "success rates",
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        "assisted reproductive technology",
        "fertility"
      ],
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          "@type": "Location",
          "prefLabel": "United States"
        }
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        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Reproductive Health (DRH)"
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          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
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      },
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        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "ARTINFO"
      },
      "distribution": [
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          "description": "Data were updated on September 11, 2024.\n\nART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all â€œPatients using their own eggsâ€ or for â€œPatients with no prior ART using their own eggs.â€ For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent's age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered researchâ€”that is, cycles performed to evaluate new procedures.",
          "accessURL": "https://data.cdc.gov/d/ey8b-ejrf",
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          "description": "The ART Success Rates dataset series contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 NM Individual Medical",
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      "contactPoint": {
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        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
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      ],
      "distribution": [
        {
          "@type": "Distribution",
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          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2016_NM-Med-Indi-Land-11-19-2015.zip"
        }
      ],
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      ],
      "programCode": [
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      ],
      "accessRights": "public",
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    },
    {
      "@type": "Dataset",
      "identifier": "ezab-8sq5",
      "title": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE)",
      "description": "2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable expenditures (SAEs) are excess health care expenditures attributable to cigarette smoking by type of service among adults ages 19 years of age and older.",
      "contactPoint": [
        {
          "@type": "Kind",
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        }
      ],
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        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2018-07-09",
      "issued": "2015-01-20",
      "theme": [
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        }
      ],
      "keyword": [
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          "prefLabel": "United States"
        }
      ],
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        "accessURL": "https://www.cdc.gov/STATESystem/",
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      ],
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      ],
      "creator": {
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        "name": "Centers for Disease Control and Prevention (CDC)"
      },
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        "title": "OSHData Support"
      },
      "distribution": [
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          "title": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE)",
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          "downloadURL": "https://data.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5/data_preview",
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          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2018-07-09",
          "describedBy": {
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      "description": "The CY 2014 PFS final rule with comment period was placed on display at the Federal Register on November 27, 2013. It was published in the Federal Register on December 10, 2013. The final rule addresses changes to the physician fee schedule, payments for Part B drugs, and other Medicare Part B payment policies, to ensure that our payment systems are updated to reflect changes in current medical practices and the relative value of those services. Effective January 1, 2014 to March 31, 2014, as directed by the Congressional passage of the \"Pathway for SGR Reform Act of 2013\" on December 18, 2013, the Medicare Physician Fee Schedule (MPFS) Conversion Factor is $35.8228. This reflects a 0.5 percent increase from the previous year. The \"Pathway for SGR Reform Act of 2013\" also extends the non-budget neutral work GPCI floor (1.0) to April 1, 2014.",
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    {
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      "references": [
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        "https://www.mathematica.org/"
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    },
    {
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      "identifier": "f226-42b7",
      "title": "Vascular Surgery Office Visit Costs",
      "description": "Returns vascular surgery office visit costs per zip code for new and established patients.",
      "keyword": [
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      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/6a64087744c5c7d5ee57f44ab36a752f_1722902774/Vascular_Surgery.csv",
          "mediaType": "text/csv",
          "title": "Vascular_Surgery.csv"
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      "landingPage": {
        "@type": "Document",
        "title": "Vascular Surgery Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/f226-42b7"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
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      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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      "programCode": [
        "009:000"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
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      "programCode": [
        "009:000"
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      "accessLevel": "public",
      "keyword": [
        "2021"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset is pre-filtered based on the most frequent searches of Open Payments data.",
      "distribution": [
        {
          "title": "2021 payments grouped by reporting entities, covered recipient, and nature of payments",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_SMRY_BY_AMGPO_BY_CR_BY_NTR_OF_PYMT_PGYR2021_P06302026_06032026.csv",
          "@type": "Distribution",
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      "identifier": "f240c437-9d8a-5be7-95a5-8ce8e0d970bf",
      "title": "2021 payments grouped by reporting entities, covered recipient, and nature of payments",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
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    {
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      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
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      "accrualPeriodicity": "R/P1Y",
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      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
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      "references": [
        "https://www.mathematica.org/"
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      "title": "Scorecard version v3.9.137 (CMS Development)",
      "identifier": "f2845568-e795-5d58-9c4b-a4271c9a8df4",
      "modified": "2026-09-21T13:32:15Z",
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        {
          "title": "Scorecard version v3.9.137 (CMS Development)",
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    {
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      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
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      "accrualPeriodicity": "R/PT1S",
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      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
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      "modified": "2025-09-25T14:18:32Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_featAuto"
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      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "briefType csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20250924_ETL_DEV/briefType.csv",
          "description": "{\"dataset\": \"briefType\", \"stage\": \"featAuto\", \"update_id\": \"20250924_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "f2872f69-7ad7-5863-a87d-f95199d333be",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "2009 Physician Fee Schedule Data",
      "distribution": [
        {
          "title": "Localities table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/localities2009.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "f2ac08dc-67f4-46e9-9988-061fd23b6b57",
      "keyword": [
        "2009",
        "localities"
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      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
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      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
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          "startDate": "2009-01-01",
          "endDate": "2009-12-31T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Localities for 2009",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "featAuto_measureSearchInfo",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
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      "publisher": {
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      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-09-25T14:18:32Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_featAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measureSearchInfo csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20250924_ETL_DEV/measureSearchInfo.csv",
          "description": "{\"dataset\": \"measureSearchInfo\", \"stage\": \"featAuto\", \"update_id\": \"20250924_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "f2be0940-700b-5b90-94ce-b1751ed24c29",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
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      "programCode": [
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      "accessLevel": "public",
      "keyword": [
        "all years"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "This dataset provides profile information to display on payment search results.",
      "distribution": [
        {
          "title": "Profile Information",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/all-entities-profile-search.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "f2ed17cc-f045-4e25-9b28-75c72f0c7efe",
      "title": "Profile Information",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Drug Utilization Data 2002",
      "identifier": "f3144e50-5f27-5e2c-acbb-1962a2aeae55",
      "description": "Drug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html",
      "accessLevel": "public",
      "issued": "2015-06-11T13:24:57Z",
      "modified": "2026-04-03T15:01:59Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "State Drug Utilization"
      ],
      "keyword": [
        "Medicaid Reimbursements",
        "Drug Utilization",
        "Pharmacy"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/StateDrugUtilizationData-2002.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/6eb01b59-271e-4a58-b9b8-2d17e2cbd34b",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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        ]
      },
      "programCode": [
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      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet state v3.1.24 (feature-dev)",
      "identifier": "f3713443-bbec-59ad-a660-fb6c599f23d3",
      "modified": "2025-04-23T12:05:47Z",
      "distribution": [
        {
          "title": "CoreSet state v3.1.24 (feature-dev)",
          "description": "CoreSet state v3.1.24 (feature-dev)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.1.24/20250415/state.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NADAC (National Average Drug Acquisition Cost) 2025",
      "identifier": "f38d0706-1239-442c-a3cc-40ef1b686ac0",
      "description": "National Average Drug Acquisition Cost (NADAC) weekly reference data for the calendar year.",
      "accessLevel": "public",
      "modified": "2025-12-30T15:25:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "National Average Drug Acquisition Cost (NADAC)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/nadac-national-average-drug-acquisition-cost-12-31-2025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/de58d5ec-4515-494e-ae3f-620200f72989",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
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      "bureauCode": [
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      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet measure_value v3.9.97 (Production)",
      "identifier": "f3e3687a-2d5d-5391-8640-8ffe448c8191",
      "modified": "2026-09-21T23:50:30Z",
      "distribution": [
        {
          "title": "CoreSet measure_value v3.9.97 (Production)",
          "description": "CoreSet measure_value v3.9.97 (Production)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.97/20260824/measure_value.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Behavioral Health Services Provided to the Medicaid and CHIP Population",
      "identifier": "f403f019-48f5-48f0-b0ce-c051cfe04a5e",
      "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of behavioral health services, including emergency department services, inpatient services, intensive outpatient/partial hospitalizations, outpatient services, or services delivered through telehealth, provided to Medicaid and CHIP beneficiaries, by state. Users can filter by either mental health disorder or substance use disorder. \n\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating behavioral health services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Diagnosis Code - IP, Diagnosis Code - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \n\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
      "accessLevel": "public",
      "modified": "2024-01-05T14:43:09Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "Substance Use Disorder",
        "Behavioral Health",
        "Mental Health Disorder",
        "Children's Health Insurance Program (CHIP)",
        "Medicaid",
        "T-MSIS Analytic Files (TAF)",
        "DQ (Data Quality) Atlas",
        "Services"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Behavioral Health Services Provided to the Medicaid and CHIP Population",
          "description": "This data set includes monthly counts and rates (per 1,000 beneficiaries) of behavioral health services, including emergency department services, inpatient services, intensive outpatient/partial hospitalizations, outpatient services, or services delivered through telehealth, provided to Medicaid and CHIP beneficiaries, by state. Users can filter by either mental health disorder or substance use disorder. \r\n\r\nThese metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating behavioral health services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Diagnosis Code - IP, Diagnosis Code - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. \r\n\r\nSome cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/Behavioral-Health-Services-Provided-to-the-MedicaidCHIP-Population.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/8b1358dc-3de4-4e99-916e-7e88c8088b7b",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Clotting Factor Drug Report",
      "identifier": "f45f35c5-7aa4-4500-b196-ae7833717add",
      "description": "Clotting Factor (CF) designation allows for a minimum rebate percentage of 17.1 percent of Average Manufacturer Price (AMP) for single source and innovator multiple source drugs.  ",
      "accessLevel": "public",
      "issued": "2022-10-07T11:50:00Z",
      "modified": "2026-08-10T23:04:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/cf-drug-report-08092026.2.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/0196a2a3-fb0f-48bb-b865-c4c9dc4a9f06",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Scorecard PILLAR vCORESET.1.1-test (coreset-local)",
      "identifier": "f489a2dd-aef4-5fc8-b0ea-95d0308e3ee3",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2024-05-07T17:21:15Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Scorecard PILLAR vCORESET.1.1-test (coreset-local)",
          "description": "Scorecard PILLAR vCORESET.1.1-test (coreset-local)",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/CORESET.1.1-test/20240430/PILLAR.csv"
        }
      ],
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        "https://www.mathematica.org/"
      ],
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        "009:38"
      ],
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        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "implAuto_states_measures",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
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      "publisher": {
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        "name": "Office of Communications (OC)",
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          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-11-05T18:10:13Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_implAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "states_measures csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20251028_ETL_DEV/states_measures.csv",
          "description": "{\"dataset\": \"states_measures\", \"stage\": \"implAuto\", \"update_id\": \"20251028_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "f48c4dc5-80d3-5528-8d79-238c124fe10d",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Medicaid applications Test",
      "identifier": "f4d28f75-63e5-4198-857f-6621afb23808",
      "description": "Test",
      "accessLevel": "public",
      "modified": "2026-05-20T14:37:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/pi-dataset-may-2026-release.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/7d80cfd8-3266-4c55-8436-948b7c55b9dd",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
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      ],
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        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Promoting Interoperability - Hospital",
        "accessURL": "https://data.cms.gov/provider-data/dataset/f4ga-b9gx"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-02-06",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Promoting Interoperability",
        "Meets criteria"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "f4ga-b9gx",
      "description": "The Medicare Promoting Interoperability Program was developed to promote and prioritize interoperability and exchange of health care data. Promoting interoperability means that hospitals show they're using certified Electronic Health Record (EHR) technology in ways that can be measured against quality standards.",
      "title": "Promoting Interoperability - Hospital",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/5462b19a756c53c1becccf13787d9157_1785189974/Promoting_Interoperability-Hospital.csv",
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            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
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        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard version v3.9.9 (CMS Test)",
      "modified": "2025-11-25T21:03:55Z",
      "distribution": [],
      "identifier": "f5af2ce4-5a41-5d43-a0aa-11785f928bf3",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2017 Individual Dental",
      "identifier": "f6am-7dvb",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2016-11-07T17:04:42Z",
      "modified": "2017-08-23T19:39:41Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Eze Onuoha",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2017_Dent-Indi-Land-08_11_2017.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "SDUD",
      "identifier": "f7162680-b174-48b4-b3e3-3f0f735264ab",
      "description": "SDUD",
      "accessLevel": "public",
      "modified": "2022-03-31T09:38:01Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Medicaid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/DrugUtilization_merged.csv"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "RY2013 MLR Dataset 20140716",
      "identifier": "f73t-ceqr",
      "description": "This file contains Medical Loss Ratio data for the 2013 Reporting Year, including the issuer’s MLR, the MLR standard, and the average rebate per family by state and market.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2014-07-23T18:27:16Z",
      "modified": "2019-10-07T23:04:30Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Zack Sarver",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "theme": [
        "MLR"
      ],
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/ry2013-mlr-dataset-20140716.f73t-ceqr.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/9181d9b2-6a6e-4f01-82f9-81c63c9cbcb9",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSEt pillar v2.10.6 (coreset-etl-test)",
      "modified": "2024-10-24T18:07:34Z",
      "distribution": [
        {
          "title": "CoreSEt pillar v2.10.6 (coreset-etl-test)",
          "description": "CoreSEt pillar v2.10.6 (coreset-etl-test)",
          "downloadURL": "https://download.medicaid.gov/data/scorecard/core-set/2.10.6/20241023/pillar.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "f768cec0-26a6-5a21-ba76-94e1d3387f34",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2022-03-21 to 2022-03-27",
      "identifier": "f7e2cee0-4e65-4c44-8a28-4dab252a8e5b",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2022-03-29T16:01:13Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
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        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rpt-drugs-mar-03-21-2022-03-27-2022.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan Attributes PUF - PY2020",
      "identifier": "f7eh-7sxu",
      "description": "The Plan Attributes PUF (Plan-PUF) is one of the files that make up the Marketplace PUF. The Plan-PUF contains plan-level data on maximum out of pocket payments, deductibles, cost sharing, health savings account (HSA) eligibility, formulary ID, and other plan attributes. These data either originate from the Plans &amp; Benefits template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated). The issuer can also import data created in other templates (e.g., Network IDs from the Network ID template, Service Area IDs from the Service Area template, and Formulary IDs from the Prescription Drug template) to use as allowable values for the applicable fields in the Plans &amp; Benefits template, or enter these values manually.",
      "accessLevel": "public",
      "issued": "2019-10-22T11:21:33Z",
      "modified": "2020-10-23T15:15:13Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Ashley Van Scyoc",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/plan-attributes-puf-2020.f7eh-7sxu.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/43e907db-526d-4b6e-9306-8b7d6b772316",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2015 Qualifying Health Plan Selections by APTC and County, as of February 22, 2015",
      "identifier": "f7yt-nc7m",
      "description": "All figures are based on plan selections with coverage periods that include March 1, 2015",
      "accessLevel": "public",
      "issued": "2015-06-22T15:07:02Z",
      "modified": "2015-07-02T14:29:26Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "OEDA",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "advanced premium tax credit",
        "aptc",
        "county",
        "qualifying health plan"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qualifying-health-plan-selections-by-aptc-and-county-as-of-february-22-2015.f7yt-nc7m.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/2449e1ff-d0b3-4f08-931d-1657af79e46a",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "identifier": "f83aed3a-7504-4fca-aabb-ac0338c79688",
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2023"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "Groups payment data by state, recipient type, and nature of payment.",
      "distribution": [
        {
          "title": "2023 state-level payment total and averages by Nature of Payment",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/SMRY_RPTS_P06302026_06032026/PBLCTN_NTR_OF_PYMT_BY_STATE_SMRY_PGYR2023_P06302026_06032026.csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "title": "2023 state payment totals grouped by Nature of Payment for all years",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2023-01-01",
          "endDate": "2023-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Summary"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "Scorecard PILLAR v0.3.58-test (local)",
      "modified": "2023-08-08T14:13:44Z",
      "distribution": [],
      "identifier": "f84a8b57-39db-538b-9603-8e049bab7d8f",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
        "018:10"
      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "2001 Physician Fee Schedule Data",
      "distribution": [
        {
          "title": "Localities table",
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      "identifier": "f8d6955a-6f4d-4812-ad3a-9846f319003c",
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      "programCode": [
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      "publisher": {
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      "theme": [
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      "title": "Localities for 2001",
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    {
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      "inventoried": "2026-09-27"
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    {
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      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-06-05-to-2023-06-11",
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      ],
      "@type": "Dataset",
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    {
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      "distribution": [
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      "description": "All general (non-research, non-ownership related) payments from the 2023 program year [January 1 – December 31, 2023] <p><strong>NOTE:</strong> This is a very large file and, depending on your network characteristics and software, may take a long time to download or fail to download. Additionally, the number of rows in the file may be larger than the maximum rows your version of <a href=\"https://support.microsoft.com/en-us/office/excel-specifications-and-limits-1672b34d-7043-467e-8e27-269d656771c3\">Microsoft Excel</a> supports. If you can't download the file, we recommend engaging your IT support staff. If you are able to download the file but are unable to open it in MS Excel or get a message that the data has been truncated, we recommend trying alternative programs such as MS Access, Universal Viewer, Editpad or any other software your organization has available for large datasets.</p>",
      "distribution": [
        {
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      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2022 Individual Medical",
      "identifier": "fb97ce4a-5e5b-4e18-bab8-27299e56d5cf",
      "description": "The Medical Individual Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to consumers in the individual market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "issued": "2022-08-10T12:00:00Z",
      "modified": "2022-08-17T13:30:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Center for Consumer Information and Insurance Oversight",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "Individual Market Medical",
        "Individual",
        "QHP Landscape",
        "QHP",
        "PY2022"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "zip",
          "downloadURL": "https://data.healthcare.gov/datafile/py2022/individual_market_medical.zip"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NADAC (National Average Drug Acquisition Cost) 2026",
      "identifier": "fbb83258-11c7-47f5-8b18-5f8e79f7e704",
      "description": "National Average Drug Acquisition Cost (NADAC) weekly reference data for the calendar year.",
      "accessLevel": "public",
      "modified": "2026-09-22T11:24:01Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Drug Pricing and Payment"
      ],
      "keyword": [
        "National Average Drug Acquisition Cost (NADAC)"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/nadac-national-average-drug-acquisition-cost-09-23-2026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/de58d5ec-4515-494e-ae3f-620200f72989",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2020 Child and Adult Health Care Quality Measures Quality",
      "identifier": "fbbe1734-b448-4e5a-bc94-3f8688534741",
      "description": "Performance rates on frequently reported health care quality measures in the CMS Medicaid/CHIP Child and Adult Core Sets, for FFY 2020 reporting.\r\n\r\nSource: Mathematica analysis of MACPro and Form CMS-416 reports for the FFY 2020 reporting cycle. Dataset revised September 2021. For more information, see the Children's Health Care Quality Measures and Adult Health Care Quality Measures webpages.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "modified": "2021-09-28T09:20:31Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "theme": [
        "Quality"
      ],
      "keyword": [
        "Performance Rates",
        "Core Sets",
        "Quality Measures"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/2020-child-and-adult-health-care-quality-measures.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/e8a2863c-6a99-498d-8e9d-0ebc4e90c8ff",
            "title": "data.medicaid.gov"
          },
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "fbbf-hgkc",
      "title": "PLACES: Local Data for Better Health, ZCTA Data 2020 release",
      "description": "This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2021-10-07",
      "issued": "2021-09-29",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "zcta",
        "zip code",
        "behaviors",
        "brfss",
        "outcomes",
        "places",
        "prevention",
        "prevalence",
        "unhealthy"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "500 Cities Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, ZCTA Data 2020 release",
          "description": "This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/fbbf-hgkc",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2020/fbbf-hgkc/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2021-10-07",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/fbbf-hgkc",
            "title": "PLACES: Local Data for Better Health, ZCTA Data 2020 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: ZCTA Dataset Series  2020-2025",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES from 2020-2025."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet measure v3.9.119 (ETL Test)",
      "identifier": "fbf6f052-37cf-5512-914c-f732124a7a99",
      "modified": "2026-09-22T20:25:28Z",
      "distribution": [
        {
          "title": "CoreSet measure v3.9.119 (ETL Test)",
          "description": "CoreSet measure v3.9.119 (ETL Test)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.9.119/20260901/measure.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "fbfb-4b94",
      "title": "General Surgery Office Visit Costs",
      "description": "Returns general surgery office visit costs per zip code for new and established patients.",
      "keyword": [
        "General Surgery"
      ],
      "issued": "2024-08-05",
      "modified": "2024-08-05",
      "released": "2024-08-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/fe6e0255998e3bfe1f55e66be97f2e4c_1722902728/General_Surgery.csv",
          "mediaType": "text/csv",
          "title": "General_Surgery.csv"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "General Surgery Office Visit Costs",
        "accessURL": "https://data.medicare.gov/provider-data/dataset/fbfb-4b94"
      },
      "theme": [
        "Physician office visit costs"
      ],
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "PPL Dataset",
        "hasEmail": "mailto:PPL_Dataset@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2016 Child and Adult Health Care Quality Measures",
      "identifier": "fc3c7c14-4b08-59c2-97db-0726e478dfdf",
      "description": "Performance rates on frequently reported health care quality measures in the CMS Medicaid/CHIP Child and Adult Core Sets, for FFY 2016 reporting.\n\nSource: Mathematica analysis of MACPro and Form CMS-416 reports for the FFY 2016 reporting cycle. For more information, see the <a href=\"https://www.medicaid.gov/medicaid/quality-of-care/performance-measurement/child-core-set/index.html\">Children's Health Care Quality Measures</a> and <a href=\"https://www.medicaid.gov/medicaid/quality-of-care/performance-measurement/adult-core-set/index.html\">Adult Health Care Quality Measures</a> webpages.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "issued": "2017-09-28T15:14:53Z",
      "modified": "2018-10-25T21:17:33Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:no-reply@data.medicaid.gov"
      },
      "theme": [
        "Quality"
      ],
      "keyword": [
        "Core Sets",
        "Performance Rates",
        "Quality Measures"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/2016-child-and-adult-health-care-quality-measures.vncf-b8xx.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/e081bcdb-a2b3-4f3f-875a-92fdf1e5a9d1",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "featAuto_measure_backgroundAndMethods",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2025-09-25T14:18:32Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_featAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "measure_backgroundAndMethods csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20250924_ETL_DEV/measure_backgroundAndMethods.csv",
          "description": "{\"dataset\": \"measure_backgroundAndMethods\", \"stage\": \"featAuto\", \"update_id\": \"20250924_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "fc93a1e1-dca9-557b-95bf-ba92017c8794",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "ESRD QIP - Facility Commitment to Health Equity - Payment Year 2026",
        "accessURL": "https://data.cms.gov/provider-data/dataset/fche"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2021-01-20",
      "@type": "Dataset",
      "modified": "2025-12-15",
      "released": "2026-01-21",
      "keyword": [
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "ESRD QIP Helpdesk",
        "hasEmail": "mailto:ESRDQIP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "fche",
      "description": "This dataset includes facility details, measure score, and the state and national average measure scores for the Facility Commitment to Health Equity measure included in the PY 2026 ESRD QIP.",
      "title": "ESRD QIP - Facility Commitment to Health Equity - Payment Year 2026",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/74596ee698e8fec5c2b4f8c108e6174b_1767139564/FCHE.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "2022"
      ],
      "contactPoint": {
        "fn": "Open Payments",
        "hasEmail": "mailto:openpayments@cms.hhs.gov"
      },
      "dataQuality": true,
      "description": "Research Payment Data – Detailed Dataset 2022 Reporting Year\nAll research-related payments from the 2022 program year [January 1 – December 31, 2022]",
      "distribution": [
        {
          "title": "Research Payment Data – Detailed Dataset 2022 Reporting Year",
          "mediaType": "text/csv",
          "format": "csv",
          "downloadURL": "https://download.cms.gov/openpayments/PGYR2022_P06302026_06032026/OP_DTL_RSRCH_PGYR2022_P06302026_06032026.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://openpaymentsdata.cms.gov/api/1/metastore/schemas/data-dictionary/items/618ebb0f-b9c8-5efd-a374-bd8e7665d5f8",
            "title": "openpaymentsdata.cms.gov"
          },
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "fdc3c773-018a-412c-8a81-d7b8a13a037b",
      "title": "2022 Research Payment Data",
      "issued": "2026-06-30",
      "modified": "2026-06-30",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2022-01-01",
          "endDate": "2022-12-31"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "theme": [
        "Research Payments"
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "prodAuto_files_allDownloads",
      "identifier": "fe0d958b-bf89-590c-bfcf-b3eb0175f4ff",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "modified": "2023-06-07T21:52:39Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "DataConnect Support Team",
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov"
      },
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_prodAuto"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "files_allDownloads csv file",
          "description": "{\"dataset\": \"files_allDownloads\", \"stage\": \"prodAuto\", \"update_id\": \"20230601_ETL_DEV\"}",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20230601_ETL_DEV/files_allDownloads.csv"
        }
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "programCode": [
        "009:000"
      ],
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "hasEmail": "mailto:medicaid.gov@cms.hhs.gov",
        "fn": "Medicaid.gov"
      },
      "accrualPeriodicity": "R/P1Y",
      "accessLevel": "public",
      "description": "This is a dataset created for the Medicaid Scorecard website (https://www.medicaid.gov/state-overviews/scorecard/index.html), and is not intended for use outside that application.",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "scorecard",
        "Utility"
      ],
      "references": [
        "https://www.mathematica.org/"
      ],
      "title": "CoreSet filters v3.1.1 (cmsdev)",
      "identifier": "fe676dcf-c49f-592c-a11c-2c0f3e9ab684",
      "modified": "2025-03-13T19:24:29Z",
      "distribution": [
        {
          "title": "CoreSet filters v3.1.1 (cmsdev)",
          "description": "CoreSet filters v3.1.1 (cmsdev)",
          "downloadURL": "https://download.medicaid.gov/data/coreset-viz/3.1.1/20250110/filters.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "title": "devAuto_concernLevel",
      "description": "This is a dataset created for use by the DQ Atlas website, and is not intended for use outside that application. For more information on the DQ Atlas and the information contained in this dataset see https://www.medicaid.gov/dq-atlas/welcome",
      "accessLevel": "public",
      "accrualPeriodicity": "R/PT1S",
      "programCode": [
        "009:000"
      ],
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        "009:38"
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        "name": "Office of Communications (OC)",
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          {
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          }
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      },
      "contactPoint": {
        "hasEmail": "mailto:dataconnectsupport@cms.hhs.gov",
        "fn": "DataConnect Support Team"
      },
      "modified": "2026-02-02T20:37:24Z",
      "theme": [
        "Uncategorized"
      ],
      "keyword": [
        "dqatlas",
        "Utility",
        "dqatlas_devAuto"
      ],
      "references": [
        "https://www.medicaid.gov/dq-atlas/welcome",
        "https://www.mathematica.org/"
      ],
      "distribution": [
        {
          "title": "concernLevel csv file",
          "downloadURL": "https://download.medicaid.gov/data/dq-atlas/20260120_e2e_ETL_DEV/concernLevel.csv",
          "description": "{\"dataset\": \"concernLevel\", \"stage\": \"devAuto\", \"update_id\": \"20260120_e2e_ETL_DEV\"}",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution"
        }
      ],
      "identifier": "fe72018c-0f13-5f58-b58b-20bf988645bc",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 10-20-2025-to-10-26-2025",
      "identifier": "fe848962-448f-46cb-8cf0-ca77309dc77a",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2025-10-27T18:03:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "format": "csv",
          "downloadURL": "https://download.medicaid.gov/data/mdrp-newly-rprt-drug-10-20-2025-to-10-26-2025.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.medicaid.gov/api/1/metastore/schemas/data-dictionary/items/66f843c8-1180-4244-8adc-554d02584fa4",
            "title": "data.medicaid.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:076"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "contactPoint": {
        "fn": "Centers for Medicare and Medicaid Services",
        "hasEmail": "mailto:pfs@cms.gov"
      },
      "description": "The Medicare Improvements for Patients and Providers Act of 2008 was enacted on July 15, 2008. As a result, the mid-year 2008 Medicare Physician Fee Schedule (MPFS) rate of -10.6 percent was replaced with a 0.5 percent update, retroactive to July 1, 2008. In the year dropdown box above, select \"2008A\" for fees effective January 1, 2008 through June 30, 2008 and select \"2008B\" for fees effective July 1, 2008 through December 31, 2008.",
      "distribution": [
        {
          "title": "Indicators table",
          "downloadURL": "https://pfs.data.cms.gov/sites/default/files/data/indicators208a.csv",
          "mediaType": "text/csv",
          "format": "csv",
          "@type": "Distribution",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "identifier": "fec74595-eaca-4829-9737-2656007c9129",
      "keyword": [
        "2008A",
        "indicators"
      ],
      "license": "https://www.usa.gov/government-works",
      "modified": "2020-04-20",
      "programCode": [
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      ],
      "publisher": {
        "name": "Centers for Medicare and Medicaid Services"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2008-01-01",
          "endDate": "2008-06-30T11:59:59Z"
        }
      ],
      "theme": [
        "Medicare"
      ],
      "title": "Indicators for 2008A",
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-03-20-to-2023-03-26",
      "identifier": "ff6f5073-b92a-4426-953e-a9a58b19e768",
      "description": "The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.",
      "accessLevel": "public",
      "modified": "2023-03-27T13:33:06Z",
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
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      "contactPoint": {
        "fn": "Medicaid.gov",
        "hasEmail": "mailto:Medicaid.gov@cms.hhs.gov"
      },
      "keyword": [
        "Drug Rebate Program"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-03-20-to-2023-03-26",
          "format": "csv",
          "downloadURL": "https://data.medicaid.gov/sites/default/files/uploaded_resources/mdrp-newly-rprt-drug-3-20-2023-to-3-26-2023.csv",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
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      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "ffbi-is3j",
      "title": "NAAG Tobacco Settlement Payments",
      "description": "1999-2024. National Association of Attorneys General (NAAG). Policyâ€”Tobacco Settlement Payments. The National Association of Attorneys General (NAAG) provides Tobacco Settlement Revenue data for 46 states participating in the Master Settlement Agreement (MSA) with the four largest tobacco companies in the United States.  Data are reported on an annual basis.  Four states (Florida, Minnesota, Mississippi, and Texas) provide the STATE System their Tobacco Settlement Revenue data independently.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-05-13",
      "issued": "2014-05-27",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Policy"
        }
      ],
      "keyword": [
        "policy",
        "tobacco settlement payments",
        "tobacco",
        "office on smoking and health",
        "osh",
        "state system"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.naag.org/tobacco.php",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.naag.org/tobacco.php",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "NAAG Tobacco Settlement Payments",
          "description": "1999-2024. National Association of Attorneys General (NAAG). Policyâ€”Tobacco Settlement Payments. The National Association of Attorneys General (NAAG) provides Tobacco Settlement Revenue data for 46 states participating in the Master Settlement Agreement (MSA) with the four largest tobacco companies in the United States.  Data are reported on an annual basis.  Four states (Florida, Minnesota, Mississippi, and Texas) provide the STATE System their Tobacco Settlement Revenue data independently.",
          "accessURL": "https://data.cdc.gov/d/ffbi-is3j",
          "downloadURL": "https://data.cdc.gov/Policy/NAAG-Tobacco-Settlement-Payments/ffbi-is3j/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-05-13",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/ffbi-is3j",
            "title": "NAAG Tobacco Settlement Payments"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
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          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
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              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 NV Individual Medical",
      "identifier": "fhsg-psgt",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T18:05:04Z",
      "modified": "2015-11-24T01:35:56Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2016_NV-Med-Indi-Land-11-19-2015.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "ESRD QIP - Footnotes - Payment Year 2026",
        "accessURL": "https://data.cms.gov/provider-data/dataset/footnotes"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2021-01-20",
      "@type": "Dataset",
      "modified": "2025-12-15",
      "released": "2026-01-21",
      "keyword": [
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "ESRD QIP Helpdesk",
        "hasEmail": "mailto:ESRDQIP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "footnotes",
      "description": "This table includes a description of the footnotes that are used in the ESRD QIP datasets.",
      "title": "ESRD QIP - Footnotes - Payment Year 2026",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/3fb2b6dfd6e8d3f670ff2de672ff3aff_1767139551/FOOTNOTES.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "LTCH QRP Public Reporting Help Desk",
        "hasEmail": "mailto:LTCHPRquestions@cms.hhs.gov"
      },
      "description": "A list of long-term care hospitals with data on the quality of patient care measures shown on Long-Term Care Hospital Compare.",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/5138c2286fd92faaef3ab3b52002b463_1789157140/Long-Term_Care_Hospital-Provider_Data_Sep2026_2.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/long_term_care_hospital/LTCH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "fp6g-2gsn",
      "issued": "2026-08-12",
      "keyword": [
        "Quality Reporting",
        "Quality",
        "Measures",
        "Provider Data",
        "Provider-level"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Long-Term Care Hospital - Provider Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/fp6g-2gsn"
      },
      "modified": "2026-09-11",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "released": "2026-09-23",
      "theme": [
        "Long-term care hospitals"
      ],
      "title": "Long-Term Care Hospital - Provider Data",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "fu4u-a9bh",
      "title": "PLACES: Local Data for Better Health, County Data 2024 release",
      "description": "This dataset contains model-based county estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2022 county population estimate data, and American Community Survey 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-09-11",
      "issued": "2025-09-11",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "outcomes",
        "places",
        "prevalence",
        "health",
        "behaviors",
        "brfss",
        "county",
        "disability",
        "prevention",
        "risk",
        "status"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, County Data 2024 release",
          "description": "This dataset contains model-based county estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2022 county population estimate data, and American Community Survey 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/fu4u-a9bh",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-County-Data-20/fu4u-a9bh/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-09-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/fu4u-a9bh",
            "title": "PLACES: Local Data for Better Health, County Data 2024 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: County Data Series, 2020-2025",
          "description": "This dataset series contains model-based county estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Skilled Nursing Facility Quality Reporting Program - Provider Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/fykj-qjee"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-10-01",
      "@type": "Dataset",
      "modified": "2026-08-01",
      "released": "2026-08-26",
      "nextUpdateDate": "2026-10-28",
      "keyword": [
        "Skilled Nursing Facility Quality Reporting Program",
        "Provider-level"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:SNFQRPPRQuestions@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "fykj-qjee",
      "description": "Skilled Nursing Facilities (SNFs) provide Medicare Part A SNF services to beneficiaries and must report data on certain measures of quality to Medicare through the Skilled Nursing Facility Quality Reporting Program (SNF QRP). This file contains a list of SNFs, as well as their results on the quality of resident care measures implemented under the IMPACT Act.",
      "title": "Skilled Nursing Facility Quality Reporting Program - Provider Data",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/3078f089eb03a8f5caf2de0d7bbcbe1b_1786724151/Skilled_Nursing_Facility_Quality_Reporting_Program_Provider_Data_Aug2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/nursing_home/NH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Nursing homes including rehab services"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": " QHP Landscape PY2018 Medical SHOP",
      "identifier": "g27k-9fm5",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2017-10-25T12:26:14Z",
      "modified": "2019-02-18T23:24:55Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "qhp"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2018_SHOP_Market_Medical_07_26_2018.xlsx.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "g5fg-bgtw",
      "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County  –  2018-2020",
      "description": "2018 to 2020, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Heart Disease and Stroke Surveillance",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division for Heart Disease and Stroke Prevention (DHDSP)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-02-11",
      "issued": "2022-06-07",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Heart Disease & Stroke Prevention"
        }
      ],
      "keyword": [
        "stroke",
        "county",
        "cardiovascular",
        "cardiovascular disease",
        "counties",
        "cerebrovascular disease"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/dhdsp/maps/atlas",
        "title": "CDC Division for Heart Disease and Stroke Prevention, Interactive Atlas of Heart Disease and Stroke"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/dhdsp/maps/atlas",
        "title": "DHDSP Requests"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2018-2020",
          "description": "2018 to 2020, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
          "accessURL": "https://data.cdc.gov/d/g5fg-bgtw",
          "downloadURL": "https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/g5fg-bgtw/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-02-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/g5fg-bgtw",
            "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2018-2020"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County Series",
          "description": "3-year average (2014-2021). Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2020 SHOP Medical",
      "identifier": "g639-28ar",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2019-10-16T18:13:29Z",
      "modified": "2020-10-23T20:30:33Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/SHOP_Market_Medical_07_27_2020.xlsx.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Business Rules PUF - PY2021",
      "identifier": "g6ja-xx6f",
      "description": "The Business Rules PUF (BR-PUF) is one of the files that make up the Marketplace PUF. The BR-PUF contains plan-level data on the application of rates, such as allowed relationships (e.g., spouse, dependents) and tobacco use. These data either originate from the Business Rules template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2020-10-09T15:50:12Z",
      "modified": "2021-08-11T12:56:03Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andy Elkins",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/business-rules-puf-2021.g6ja-xx6f.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e326ff8a-2f4c-4f20-8033-2175e67ac6dd",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Penalties",
        "accessURL": "https://data.cms.gov/provider-data/dataset/g6vv-u9sr"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2026-06-01",
      "@type": "Dataset",
      "modified": "2026-08-01",
      "released": "2026-08-26",
      "nextUpdateDate": "2026-09-30",
      "keyword": [
        "Penalties"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:BetterCare@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "g6vv-u9sr",
      "description": "A list of the fines and payment denials received by nursing homes in the last three years.",
      "title": "Penalties",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/22b16c9dfd718b1b2a003eb8d4222046_1786724150/NH_Penalties_Aug2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/nursing_home/NH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Nursing homes including rehab services"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Quality PUF - PY2020",
      "identifier": "g7hv-jbsu",
      "description": "The Quality PUF contains 2019 quality ratings data for eligible Qualified Health Plans in PY2020 in states on HealthCare.gov.<br />\nAccess the Quality PUF and Data Dictionary Here - <a href=\"https://edit.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/QualityInitiativesGenInfo/ACA-MQI/Downloads/2020-Quality-PUF.zip\">Quality PUF and Data Dictionary</a>",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P1Y",
      "issued": "2019-10-25T14:10:59Z",
      "modified": "2019-10-25T17:52:32Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Michael Paladino",
        "hasEmail": "mailto:Michael.Paladino@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/quality-puf-py2020.g7hv-jbsu.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/48bf6606-a959-4d3e-95ed-71023ff68b32",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2014 Individual Medical",
      "identifier": "ga2z-ezhp",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2013-12-11T00:29:42Z",
      "modified": "2014-08-20T22:03:44Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/Individual_Market_Medical_8_11_14.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "gd4x-jyhw",
      "title": "PLACES: Local Data for Better Health, ZCTA Data 2022 release",
      "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2022 release. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-06-15",
      "issued": "2023-06-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "health",
        "zip code",
        "zcta",
        "status",
        "risk",
        "prevention",
        "prevalence",
        "places",
        "outcomes",
        "brfss",
        "behaviors"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, ZCTA Data 2022 release",
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            "No rights reserved. This data is in the public domain."
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      "identifier": "geqt-h5st",
      "title": "QHP Landscape Instructions PY2021 Dental SHOP",
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    {
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    },
    {
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      "title": "County Service Areas",
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      "title": "PLACES: Local Data for Better Health, County Data 2023 release",
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      "rightsHolder": [
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      ],
      "rights": [
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      ],
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      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, County Data 2023 release",
          "description": "This dataset contains model-based county estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2021 or 2020 county population estimate data, and American Community Survey 2017 – 2021, or 2016 – 2020 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/h3ej-a9ec",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-County-Data-20/h3ej-a9ec/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-07-10",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/h3ej-a9ec",
            "title": "PLACES: Local Data for Better Health, County Data 2023 release"
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          ],
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                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
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              ],
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                "name": "Centers for Disease Control and Prevention (CDC)"
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          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: County Data Series, 2020-2025",
          "description": "This dataset series contains model-based county estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 OR Individual Dental",
      "identifier": "h8gm-uh38",
      "description": "Dataset.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2015-10-29T20:49:35Z",
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        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2016-qhp-landscape-or-individual-market-dental.h8gm-uh38.csv",
          "describedBy": {
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            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/509aaadd-58e0-4269-92d9-a41571d99cbf",
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          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Patient survey (ICH CAHPS) - State",
        "accessURL": "https://data.cms.gov/provider-data/dataset/hanv-ru8h"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-03-14",
      "@type": "Dataset",
      "modified": "2026-06-16",
      "released": "2026-07-15",
      "nextUpdateDate": "2026-10-28",
      "keyword": [
        "Patient Survey",
        "Patient Experience of Care"
      ],
      "contactPoint": {
        "fn": "Dialysis Facility Helpdesk",
        "hasEmail": "mailto:DialysisData@umich.edu"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "hanv-ru8h",
      "description": "State averages for ICH-CAHPS Survey measures. The ICH-CAHPS Survey is a national, standardized survey of in-center hemodialysis patients about their experiences with the facility, facility doctors and staff, and care received.",
      "title": "Patient survey (ICH CAHPS) - State",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/93f9c6ee2f94aec3b2233772f13ebfd1_1781625943/ICH_CAHPS_STATE.csv",
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          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
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          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Birthing Friendly Hospitals with Geocoded Addresses",
        "accessURL": "https://data.cms.gov/provider-data/dataset/hbf-map"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-07-09",
      "@type": "Dataset",
      "modified": "2026-07-28",
      "released": "2026-08-13",
      "nextUpdateDate": "",
      "keyword": [
        "General Information",
        "Address"
      ],
      "contactPoint": {
        "fn": "Provider Data Catalog (PDC)",
        "hasEmail": "mailto:FeedbackDataCatalog@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "hbf-map",
      "description": "A list of all hospitals that have been registered with Medicare and meet the criteria for the birthing friendly designation.",
      "title": "Birthing Friendly Hospitals with Geocoded Addresses",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/e7f75e0803a17e22c4e26acf2183e622_1786493184/Birthing_Friendly_Hospitals_Geocoded.csv",
          "mediaType": "text/csv",
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            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "hbpe-6r8n",
      "title": "PLACES: Place Data (GIS Friendly Format), 2024 release",
      "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population estimates, and American Community Survey (ACS) 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the 2020 Census place boundary file in a GIS system to produce maps for 40 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-09-11",
      "issued": "2025-09-11",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "prevalence",
        "places",
        "place",
        "disability",
        "city",
        "risk",
        "status",
        "outcomes",
        "health",
        "gis",
        "behaviors",
        "prevention"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Place Data (GIS Friendly Format), 2024 release",
          "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population estimates, and American Community Survey (ACS) 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the 2020 Census place boundary file in a GIS system to produce maps for 40 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "accessURL": "https://data.cdc.gov/d/hbpe-6r8n",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Place-Data-GIS-Friendly-Format-2024-release/hbpe-6r8n/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-09-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/hbpe-6r8n",
            "title": "PLACES: Place Data (GIS Friendly Format), 2024 release"
          },
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              "restrictionStatus": "unrestricted"
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          ],
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              "restrictionStatus": "unrestricted"
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              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
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              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
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          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Place Data (GIS Friendly Format) Series, 2020-2025",
          "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2018 Individual Medical",
      "identifier": "hd64-a3rh",
      "description": "Plan Year 2018 Individual Medical Coverage Landscape",
      "accessLevel": "public",
      "issued": "2017-10-24T15:19:49Z",
      "modified": "2019-02-18T23:24:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
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      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
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        "qhp"
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      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/qhp-py2018-medi-indi-land.hd64-a3rh.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/9523661c-96bc-43f3-936a-bec4b83e2d2e",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "hfr9-rurv",
      "title": "Alzheimer's Disease and Healthy Aging Data",
      "description": "2015-2022. This data set contains data from BRFSS.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Behavioral Risk Factor Surveillance System",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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            "@type": "Organization",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-02-14",
      "issued": "2016-05-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Healthy Aging"
        }
      ],
      "keyword": [
        "fruits and vegetables",
        "cognitive health",
        "caregiver",
        "vaccines",
        "smoking",
        "screenings",
        "aging",
        "alcohol",
        "overall health",
        "obesity",
        "falls"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/aging/index.html",
        "title": "CDC Division of Population Health"
      },
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        {
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          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
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      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/aging/index.html",
        "title": "DPH Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/hfr9-rurv",
          "downloadURL": "https://data.cdc.gov/Healthy-Aging/Alzheimer-s-Disease-and-Healthy-Aging-Data/hfr9-rurv/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-02-14",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/hfr9-rurv",
            "title": "Alzheimer's Disease and Healthy Aging Data"
          },
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              "restrictionStatus": "unrestricted"
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          ],
          "useRestriction": [
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              "restrictionStatus": "unrestricted"
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              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
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              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
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              ],
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                "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "hgv5-3wrn",
      "title": "CDC STATE System Tobacco Legislation - Youth Access",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislationâ€”Youth Access. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to restrictions, enforcement and penalties associated with the sale of cigarettes to youth through retail sales and vending machines.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-01",
      "issued": "2014-07-14",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Legislation"
        }
      ],
      "keyword": [
        "osh",
        "youth access",
        "tobacco",
        "state system",
        "policy",
        "legislation"
      ],
      "spatial": [
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          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
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        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health"
      },
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          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
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      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC STATE System Tobacco Legislation - Youth Access",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislationâ€”Youth Access. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to restrictions, enforcement and penalties associated with the sale of cigarettes to youth through retail sales and vending machines.",
          "accessURL": "https://data.cdc.gov/d/hgv5-3wrn",
          "downloadURL": "https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Youth-Access/hgv5-3wrn/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-04-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/hgv5-3wrn",
            "title": "CDC STATE System Tobacco Legislation - Youth Access"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "hgyx-uuxz",
      "title": "Community Water Fluoridation  –  State and County Level Statistics",
      "description": "State, 2016  – 2020; County, 2020. The report includes both state and county level water fluoridation data generated from the Water Fluoridation Reporting System (WFRS). State level statistics include data from the biennial report originally published at https://www.cdc.gov/fluoridation/statistics/reference_stats.htm. State and county data include percentage of people, number of people, and number of water systems receiving fluoridated water. County level data is not displayed for all states. Participation in sharing county level data is voluntary and state programs determine if data will be shown.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Oral Health",
          "hasEmail": "mailto:oralhealth@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Oral Health (DOH)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-09-18",
      "issued": "2023-07-05",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Oral Health"
        }
      ],
      "keyword": [
        "fluoridation",
        "county level",
        "oral health",
        "wfrs",
        "state level",
        "community water fluoridation"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/oralhealth/about/index.htm",
        "title": "Oral Health Inquiries"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/oralhealth/about/index.htm",
        "title": "Oral Health Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Community Water Fluoridation – State and County Level Statistics",
          "description": "State, 2016  – 2020; County, 2020. The report includes both state and county level water fluoridation data generated from the Water Fluoridation Reporting System (WFRS). State level statistics include data from the biennial report originally published at https://www.cdc.gov/fluoridation/statistics/reference_stats.htm. State and county data include percentage of people, number of people, and number of water systems receiving fluoridated water. County level data is not displayed for all states. Participation in sharing county level data is voluntary and state programs determine if data will be shown.",
          "accessURL": "https://data.cdc.gov/d/hgyx-uuxz",
          "downloadURL": "https://data.cdc.gov/Oral-Health/Community-Water-Fluoridation-State-and-County-Leve/hgyx-uuxz/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain U.S. Government",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-09-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/hgyx-uuxz",
            "title": "Community Water Fluoridation – State and County Level Statistics"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "hhew-mxbt",
      "title": "Healthy People 2020 Tobacco Use Objectives",
      "description": "U.S. Department of Health and Human Services (HHS). Centers for Disease Control and Prevention (CDC). Healthy People 2020 Tobacco Use Objectives. Healthy People 2020. Healthy People 2020 provides a framework for action to reduce tobacco use to the point that it is no longer a public health problem for the Nation. This dataset includes information related to the Healthy People 2020 Tobacco Use objectives, operational definitions, baselines, and targets. Baseline years may vary by objective. Targets represented correspond to the year 2020.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2017-08-23",
      "issued": "2014-06-05",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Healthy People 2020"
        }
      ],
      "keyword": [
        "osh",
        "centers for disease control and prevention",
        "department of health and human services",
        "healthy people 2020",
        "leading health indicator",
        "office on smoking and health"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
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      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "OSHData Support"
      },
      "distribution": [
        {
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          "title": "Healthy People 2020 Tobacco Use Objectives",
          "description": "U.S. Department of Health and Human Services (HHS). Centers for Disease Control and Prevention (CDC). Healthy People 2020 Tobacco Use Objectives. Healthy People 2020. Healthy People 2020 provides a framework for action to reduce tobacco use to the point that it is no longer a public health problem for the Nation. This dataset includes information related to the Healthy People 2020 Tobacco Use objectives, operational definitions, baselines, and targets. Baseline years may vary by objective. Targets represented correspond to the year 2020.",
          "accessURL": "https://data.cdc.gov/d/hhew-mxbt",
          "downloadURL": "https://data.cdc.gov/Healthy-People-2020/Healthy-People-2020-Tobacco-Use-Objectives/hhew-mxbt/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2017-08-23",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/hhew-mxbt",
            "title": "Healthy People 2020 Tobacco Use Objectives"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "State-Level Health Inspection Cut Points",
        "accessURL": "https://data.cms.gov/provider-data/dataset/hicp-9999"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2021-04-01",
      "@type": "Dataset",
      "modified": "2026-08-01",
      "released": "2026-08-26",
      "nextUpdateDate": "2026-09-30",
      "keyword": [
        "Deficiencies",
        "Citations",
        "Ratings",
        "State"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:BetterCare@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "hicp-9999",
      "description": "State-specific ranges for the weighted health inspection score for each health inspection star rating category.  Data are presented as one row per state or territory.",
      "title": "State-Level Health Inspection Cut Points",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/995d42ad054917707fbb07b41e22cf4d_1786724153/NH_HlthInspecCutpointsState_Aug2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/nursing_home/NH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Nursing homes including rehab services"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "highways",
      "title": "Proximity of People to Highways",
      "description": "This dataset combines demographic information with highway classification information to estimate the population living within 150 meters of specified classes of highways.\n\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "hj2x-85ya",
      "title": "CDC STATE System Tobacco Legislation - Preemption Summary",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation - Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to summary state preemption of more stringent or differing local laws on smokefree indoor air, youth access and licensure.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-01",
      "issued": "2014-12-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Legislation"
        }
      ],
      "keyword": [
        "policy",
        "osh",
        "legislation",
        "state system",
        "preemption",
        "tobacco"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/tobacco/statesystem",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/tobacco/statesystem",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC STATE System Tobacco Legislation - Preemption Summary",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation - Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to summary state preemption of more stringent or differing local laws on smokefree indoor air, youth access and licensure.",
          "accessURL": "https://data.cdc.gov/d/hj2x-85ya",
          "downloadURL": "https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Preemption-Su/hj2x-85ya/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-04-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/hj2x-85ya",
            "title": "CDC STATE System Tobacco Legislation - Preemption Summary"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "hksd-2xuw",
      "title": "U.S. Chronic Disease Indicators",
      "description": "CDC's Division of Population Health provides a cross-cutting set of 115 indicators developed by consensus among CDC, the Council of State and Territorial Epidemiologists, and the National Association of Chronic Disease Directors.  These indicators allow states and territories to uniformly define, collect, and report chronic disease data that are important to public health practice in their area. In addition to providing access to state-specific indicator data, the CDI web site serves as a gateway to additional information and data resources.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Chronic Disease Indicators",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-06-04",
      "issued": "2023-11-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Chronic Disease Indicators"
        }
      ],
      "keyword": [
        "cancer",
        "diabetes",
        "tobacco",
        "alcohol",
        "asthma",
        "arthritis",
        "copd"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "CDC Info"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "U.S. Chronic Disease Indicators",
          "description": "CDC's Division of Population Health provides a cross-cutting set of 115 indicators developed by consensus among CDC, the Council of State and Territorial Epidemiologists, and the National Association of Chronic Disease Directors.  These indicators allow states and territories to uniformly define, collect, and report chronic disease data that are important to public health practice in their area. In addition to providing access to state-specific indicator data, the CDI web site serves as a gateway to additional information and data resources.",
          "accessURL": "https://data.cdc.gov/d/hksd-2xuw",
          "downloadURL": "https://data.cdc.gov/Chronic-Disease-Indicators/U-S-Chronic-Disease-Indicators/hksd-2xuw/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Open Database License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-06-04",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/hksd-2xuw",
            "title": "U.S. Chronic Disease Indicators"
          },
          "accessRestriction": [
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              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "hky2-3tpn",
      "title": "PLACES: Census Tract Data (GIS Friendly Format), 2023 release",
      "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 36 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-07-10",
      "issued": "2024-07-10",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "gis",
        "disability",
        "census tract",
        "risk",
        "prevention",
        "prevalence",
        "places",
        "behaviors",
        "outcomes",
        "health",
        "status"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Census Tract Data (GIS Friendly Format), 2023 release",
          "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 36 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",
          "accessURL": "https://data.cdc.gov/d/hky2-3tpn",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Census-Tract-Data-GIS-Friendly-Format-2023-/hky2-3tpn/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-07-10",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/hky2-3tpn",
            "title": "PLACES: Census Tract Data (GIS Friendly Format), 2023 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Census Tract Data (GIS Friendly Format) Series 2020-2025",
          "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Certified Health IT Product List (CHPL) Open API",
      "description": "The Certified Health IT Product List (CHPL) is a comprehensive and authoritative listing of all certified Health Information Technology which has been successfully tested and certified by the ONC Health IT Certification program. All products listed on the CHPL have been tested by an ONC-Accredited Testing Laboratory (ONC-ATL) and certified by an ONC-Authorized Certification Body (ONC-ACB) to meet criteria adopted by the Secretary of the Department of Health and Human Services (HHS). This is a fully queryable REST API with JSON and XML output.",
      "identifier": "hl1o4xum-glh3-5j9f-ral7-kkm8hprfl53q",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Certified Health IT Product List (CHPL) Open API landing page",
        "accessURL": "https://chpl.healthit.gov/#/resources/chpl_api"
      },
      "accrualPeriodicity": "daily",
      "relation": [
        "https://chpl.healthit.gov/"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CHPL Open API",
          "accessURL": "https://chpl.healthit.gov/#/resources/chpl_api",
          "format": "API"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "hn4x-zwk7",
      "title": "Nutrition, Physical Activity, and Obesity - Behavioral Risk Factor Surveillance System",
      "description": "This dataset includes data on adult's diet, physical activity, and weight status from Behavioral Risk Factor Surveillance System. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Nutrition, Physical Activity, and Obesity",
          "hasEmail": "mailto:dnpaoinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Nutrition, Physical Activity, and Obesity (DNPAO)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-12",
      "issued": "2016-07-21",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Nutrition"
        },
        {
          "@type": "Concept",
          "prefLabel": "Physical Activity"
        },
        {
          "@type": "Concept",
          "prefLabel": "and Obesity"
        }
      ],
      "keyword": [
        "brfss",
        "walking",
        "vegetables",
        "physical activity",
        "dnpao",
        "fruit",
        "overweight",
        "obesity",
        "nutrition",
        "adults"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/DNPAO/index.html",
        "title": "Centers for Disease Control and Prevention (CDC), National Center for Chronic Disease Prevention and Health Promotion, Division of Nutrition, Physical Activity, and Obesity"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/DNPAO/index.html",
        "title": "DNPAO Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Nutrition, Physical Activity, and Obesity - Behavioral Risk Factor Surveillance System",
          "description": "This dataset includes data on adult's diet, physical activity, and weight status from Behavioral Risk Factor Surveillance System. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding.",
          "accessURL": "https://data.cdc.gov/d/hn4x-zwk7",
          "downloadURL": "https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-Behavioral/hn4x-zwk7/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-05-12",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/hn4x-zwk7",
            "title": "Nutrition, Physical Activity, and Obesity - Behavioral Risk Factor Surveillance System"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2014 Dental SHOP",
      "identifier": "hrtn-a9fq",
      "description": "QHP Landscape SHOP Market Dental - For instructions on how to read and use this data, please view the documentation available under the ‘About’ tab on this page.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2013-11-27T21:47:30Z",
      "modified": "2014-08-20T21:49:46Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/qhp-landscape-shop-market-dental.hrtn-a9fq.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/d63b71e0-9567-4263-9109-9db0f5f9a271",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "references": [
        "https://data.healthcare.gov/sites/default/files/Dental-SHOP-Landscape-Inst-1.pdf",
        "https://data.healthcare.gov/sites/default/files/Dental-SHOP-Landscape-Inst.pdf"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "http://geneontology.org/",
      "title": "Gene Ontology Consortium and Knowledgebase",
      "description": "The Gene Ontology (GO) knowledgebase is the world’s largest source of information on the functions of genes.The mission of the GO Consortium is to develop a comprehensive, computational model of biological systems, ranging from the molecular to the organism level, across the multiplicity of species in the tree of life.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://geneontology.org/docs/faq/#database-access"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "http://gtrnadb.ucsc.edu/",
      "title": "Genomic tRNA Database (GtRNAdb)",
      "description": "Transfer RNAs (tRNAs) represent the single largest, best-understood class of non-protein coding RNA genes found in all living organisms. By far, the major source of new tRNAs is computational identification of genes within newly sequenced genomes. To catalog the increasing number of predicted tRNA genes found in complete genomes, we developed the Genomic tRNA Database (GtRNAdb) as a repository for identifications made by tRNAscan-SE. The web resource provides overview statistics of tRNA genes within each analyzed genome, including information by isotype and genetic locus, easily downloadable primary sequences, graphical secondary structures and multiple sequence alignments.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://gtrnadb.org/browse.html"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "http://redfly.ccr.buffalo.edu/index.php",
      "title": "Redfly",
      "description": "REDfly (Regulatory Element Database for Fly) is a curated FAIR-compliant knowledgebase that extracts, accumulates, organizes, annotates, and links the growing body of information on insect transcriptional cis-regulatory sequences. REDfly focuses on experimentally verified cis-regulatory modules (CRMs) and transcription factor binding sites and their DNA sequences, associated genes, the expression patterns they direct. REDfly is an important platform for supporting hypothesis-driven empirical and computational research and has contributed to studies in multiple areas including CRM biology, CRM discovery, regulatory networks, interpretation of genomic datasets, and evolution.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of General Medical Sciences (NIGMS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Sequence biology"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "http://tumor.informatics.jax.org",
      "title": "Mouse Models of Human Cancer Database",
      "description": "MMHCdb is a comprehensive, expertly curated resource of diverse mouse models of human cancer.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Cancer Institute (NCI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Other"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://tumor.informatics.jax.org/mtbwi/index.do"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "http://www.candidagenome.org/",
      "title": "Candida Genome Database",
      "description": "The Candida Genome Database (CGD), a resource for genomic sequence data and gene and protein information for Candida albicans and related species. The CGD provides online access to genomic sequence data and manually curated functional information about genes and proteins of the human pathogen Candida albicans and related species. C. albicans is the best studied of the human fungal pathogens. It is a common commensal organism of healthy individuals but can cause debilitating mucosal infections and life-threatening systemic infections, especially in immunocompromised patients. C. albicans also serves as a model organism for the study of other fungal pathogens.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Dental and Craniofacial Research (NIDCR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "http://www.candidagenome.org/help/GettingStarted.shtml"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "http://www.hair-gel.net/",
      "title": "Hair-GEL",
      "description": "Searchable Gene Expression Library for hair follicles",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "http://www.hair-gel.net/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "http://www.peptideatlas.org",
      "title": "PeptideAtlas",
      "description": "PeptideAtlas is a multi-organism, publicly accessible compendium of peptides identified in a large set of tandem mass spectrometry proteomics experiments. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and searched using the latest search engines and protein sequences. All results of sequence and spectral library searching are subsequently processed through the Trans Proteomic Pipeline to derive a probability of correct identification for all results in a uniform manner to insure a high-quality database, along with false discovery rates at the whole atlas level. Results may be queried and browsed at the PeptideAtlas web site. The raw data, search results, and full builds can also be downloaded for other uses.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of General Medical Sciences (NIGMS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "http://www.peptideatlas.org/builds/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https:, , data.cdc.gov, Public-Health-Surveillance, Active-Bacterial-Core-surveillance-ABCs-Group-A-St, 9y49-tura",
      "title": "ABCs Group A Streptococcus dataset",
      "description": "Public CDC dataset providing data or related information for Active Bacterial Core surveillance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Active Bacterial Core Surveillance",
          "hasEmail": "mailto:abcs@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), National Center for Immunization and Respiratory Diseases (NCIRD), Division of Infectious Disease Readiness and Innovation (DIDRI), Division of Bacterial Diseases (DBD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
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        "API",
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      "title": "ABCs Haemophilus influenzae dataset",
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      "description": "Public CDC surveillance results page providing data or related information for HPV surveillance.",
      "contactPoint": [
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          "@type": "Kind",
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      "accessRights": "public",
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        "DIDRI",
        "NCIRD"
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      "title": "Association to Function Knowledge Portal (A2FKP)",
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      "accessRights": "public",
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      "keyword": [
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        "Designated State Entity",
        "DSE",
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        "SPIL"
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          "prefLabel": "Health"
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          "prefLabel": "Disability"
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        {
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      "distribution": [
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          "title": "Designated State Entity (DSE) Selection — Frequently Asked Questions",
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        "name": "Administration for Community Living (ACL)",
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        {
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      "landingPage": {
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        "title": "I/DD Longitudinal Data Collection Projects",
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      "distribution": [
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          "title": "30 Years of Community Living for Individuals with I/DD (1987-2017)",
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
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      "title": "AoD Independent Living Technical Assistance Evaluation",
      "description": "Materials from ACL's Administration on Disabilities (AoD) evaluation of the technical assistance offered to independent living programs, conducted with RTI International.",
      "contactPoint": [
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          "fn": "ACL Office of Independent Living Programs (OILP)",
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      "publisher": {
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        "name": "Administration for Community Living (ACL)",
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      "accessRights": "public",
      "keyword": [
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          "prefLabel": "Health"
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        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
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        {
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        "title": "Centers for Independent Living",
        "accessURL": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living"
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      "distribution": [
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          "title": "AoD IL Technical Assistance Evaluation Study — Grantee Webinar Presentation Slides",
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          "format": "PPTX"
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
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      "description": "Annual reports on the Centers for Independent Living (CIL) program submitted by the Commissioner of the Administration on Disabilities, in accordance with Title VII, Chapter I, Part C of the Rehabilitation Act, as amended. Covers program years 2018 through the combined 2020-2021 report as of this writing.",
      "contactPoint": [
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      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
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      "accessRights": "public",
      "keyword": [
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        "Annual Report",
        "Rehabilitation Act"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
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        {
          "@type": "Concept",
          "prefLabel": "Disability"
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        {
          "@type": "Concept",
          "prefLabel": "Independent Living"
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        {
          "@type": "Concept",
          "prefLabel": "Rehabilitation Act Programs"
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      ],
      "landingPage": {
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        "title": "Centers for Independent Living",
        "accessURL": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living"
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      "distribution": [
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          "@type": "Distribution",
          "title": "CIL Program 2020 and 2021 Combined Annual Report",
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          "mediaType": "application/pdf",
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        {
          "@type": "Distribution",
          "title": "CIL Program 2019 Annual Report",
          "downloadURL": "https://acl.gov/sites/default/files/programs/2020-11/PY19CILReport508%20FINAL.pdf",
          "mediaType": "application/pdf",
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        {
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          "title": "CIL Program 2019 Annual Report — Cover Letter from AOD Commissioner",
          "downloadURL": "https://acl.gov/sites/default/files/programs/2020-11/Cover%20Letter%20CIL%202019%20Annual%20Report_0.pdf",
          "mediaType": "application/pdf",
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        {
          "@type": "Distribution",
          "title": "CIL Program 2018 Annual Report",
          "downloadURL": "https://acl.gov/sites/default/files/programs/2020-04/AnnualReportCILsFinal%202018.pdf",
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          "format": "PDF"
        },
        {
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          "title": "CIL Program 2018 Annual Report — Cover Letter from AOD Commissioner",
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          "mediaType": "application/pdf",
          "format": "PDF"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
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        ]
      },
      "accessRights": "public",
      "keyword": [
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        "COMP",
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      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Independent Living"
        },
        {
          "@type": "Concept",
          "prefLabel": "Rehabilitation Act Programs"
        }
      ],
      "landingPage": {
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        "title": "Centers for Independent Living",
        "accessURL": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living"
      },
      "distribution": [
        {
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          "title": "VOLAR Center for Independent Living (El Paso, TX) — FY2024 COMP Report",
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          "format": "PDF",
          "description": "Compliance and Outcome Monitoring Protocol (COMP) report, FY2024."
        },
        {
          "@type": "Distribution",
          "title": "Resources for Independent Living (RIL), Inc. (Burlington, NJ) — FY2024 COMP Report",
          "downloadURL": "https://acl.gov/sites/default/files/programs/RIL-final-monitoring-report.docx",
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          "format": "DOCX",
          "description": "Compliance and Outcome Monitoring Protocol (COMP) report, FY2024."
        },
        {
          "@type": "Distribution",
          "title": "Living Independence for Everyone, Inc. (LIFE) (Jackson, MS) — FY2023 COMP Report",
          "downloadURL": "https://acl.gov/sites/default/files/programs/2024-12/LIFE%20COMP%20Report_Final_Jackson%20MS.pdf",
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          "format": "PDF",
          "description": "Compliance and Outcome Monitoring Protocol (COMP) report, FY2023."
        },
        {
          "@type": "Distribution",
          "title": "Harlem Independent Living Center (New York, NY) — FY2021-FY2022 COMP Report",
          "downloadURL": "https://acl.gov/sites/default/files/programs/2023-03/Harlem%20Independent%20Living%20Center%20%28New%20York%2C%20NY%29.pdf",
          "mediaType": "application/pdf",
          "format": "PDF",
          "description": "Compliance and Outcome Monitoring Protocol (COMP) report, FY2021-FY2022."
        },
        {
          "@type": "Distribution",
          "title": "Blue Water Center for Independent Living (Port Huron, MI) — FY2020-FY2021 COMP Report",
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          "mediaType": "application/pdf",
          "format": "PDF",
          "description": "Compliance and Outcome Monitoring Protocol (COMP) report, FY2020-FY2021."
        },
        {
          "@type": "Distribution",
          "title": "The Disability Network (Flint, MI) — FY2020-FY2021 COMP Report",
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          "mediaType": "application/pdf",
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          "@type": "Distribution",
          "title": "P&A Individual Clients Served, FY23",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2023-p%26a-individual-clients-served-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Individual clients served by Protection & Advocacy (P&A) systems under the PADD, PAAT, PATBI, or PAVA programs, where a file/service record was opened and at least one significant service was provided. Reporting period: FY23."
        },
        {
          "@type": "Distribution",
          "title": "P&A Individual Clients Served, FY24",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2024-p%26a-individual-clients-served-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Individual clients served by Protection & Advocacy (P&A) systems under the PADD, PAAT, PATBI, or PAVA programs, where a file/service record was opened and at least one significant service was provided. Reporting period: FY24."
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-10-01",
          "endDate": "2024-09-30"
        }
      ],
      "issued": "2019-10-01",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://acl.gov/programs/pa-programs#group_advocacy",
      "title": "P&A Group Advocacy",
      "description": "Group advocacy services on behalf of groups of people with disabilities, pursued through systemic litigation, legislative and regulatory advocacy, and non-litigious systemic advocacy. Collected from Protection & Advocacy (P&A) systems through the combined P&A One-PPR (Program Performance Report), required annually under the Developmental Disabilities Assistance and Bill of Rights Act (DD Act) of 2000.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Ophelia McLain, Program Manager — Administration on Disabilities",
          "hasEmail": "mailto:ophelia.mclain@acl.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Protection and Advocacy",
        "P&A",
        "One-PPR",
        "Disability Rights"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Protection and Advocacy"
        },
        {
          "@type": "Concept",
          "prefLabel": "Developmental Disabilities Act Programs"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Protection & Advocacy Systems (P&As)",
        "accessURL": "https://acl.gov/programs/pa-programs"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "P&A Group Advocacy, FY20-FY21",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2020-21-p%26a-group-advocacy-cases-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Group advocacy services on behalf of groups of people with disabilities, pursued through systemic litigation, legislative and regulatory advocacy, and non-litigious systemic advocacy. Reporting period: FY20-FY21."
        },
        {
          "@type": "Distribution",
          "title": "P&A Group Advocacy, FY22",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2022-p%26a-group-advocacy-cases-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Group advocacy services on behalf of groups of people with disabilities, pursued through systemic litigation, legislative and regulatory advocacy, and non-litigious systemic advocacy. Reporting period: FY22."
        },
        {
          "@type": "Distribution",
          "title": "P&A Group Advocacy, FY23",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2023-p%26a-group-advocacy-cases-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Group advocacy services on behalf of groups of people with disabilities, pursued through systemic litigation, legislative and regulatory advocacy, and non-litigious systemic advocacy. Reporting period: FY23."
        },
        {
          "@type": "Distribution",
          "title": "P&A Group Advocacy, FY24",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2024-p%26a-group-advocacy-cases-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Group advocacy services on behalf of groups of people with disabilities, pursued through systemic litigation, legislative and regulatory advocacy, and non-litigious systemic advocacy. Reporting period: FY24."
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-10-01",
          "endDate": "2024-09-30"
        }
      ],
      "issued": "2019-10-01",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://acl.gov/programs/pa-programs#hava-resources",
      "title": "Help America Vote Act (HAVA) Program Resources",
      "description": "Resources for ACL's Help America Vote Act (HAVA) programs, which fund Protection & Advocacy systems (P&As) under Section 291 of HAVA to improve polling place accessibility and participation in the electoral process for individuals with disabilities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Ophelia McLain, Program Manager — Administration on Disabilities",
          "hasEmail": "mailto:ophelia.mclain@acl.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "HAVA",
        "Voting Accessibility",
        "Protection and Advocacy"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Developmental Disabilities Act Programs"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Protection and Advocacy"
        },
        {
          "@type": "Concept",
          "prefLabel": "Voting Accessibility"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Protection & Advocacy Systems (P&As)",
        "accessURL": "https://acl.gov/programs/pa-programs"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Help America Vote Act (HAVA) Fact Sheet",
          "downloadURL": "https://acl.gov/sites/default/files/programs/2016-12/HAVA_factsheet.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Help America Vote Act, Public Law 107-252 (full text)",
          "downloadURL": "https://acl.gov/sites/default/files/programs/2017-03/HAVA.PDF",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Help America Vote Act — Report to Congress, the President, and the National Council on Disability, FY2009-2010",
          "downloadURL": "https://acl.gov/sites/default/files/programs/2016-12/HAVA_Report_to_Congress_FY_09_10.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://acl.gov/programs/pa-programs#info_referral",
      "title": "P&A Information and Referral Services",
      "description": "Information and referral services (I&R) responses to individuals, including meetings, one-time telephone discussions, and follow-up mailings, in response to an individual's request. Collected from Protection & Advocacy (P&A) systems through the combined P&A One-PPR (Program Performance Report), required annually under the Developmental Disabilities Assistance and Bill of Rights Act (DD Act) of 2000.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Ophelia McLain, Program Manager — Administration on Disabilities",
          "hasEmail": "mailto:ophelia.mclain@acl.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Protection and Advocacy",
        "P&A",
        "One-PPR",
        "Disability Rights"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Protection and Advocacy"
        },
        {
          "@type": "Concept",
          "prefLabel": "Developmental Disabilities Act Programs"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Protection & Advocacy Systems (P&As)",
        "accessURL": "https://acl.gov/programs/pa-programs"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "P&A Information and Referral Services, FY20-FY21",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2020-21-p%26a-information-referral-services-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Information and referral services (I&R) responses to individuals, including meetings, one-time telephone discussions, and follow-up mailings, in response to an individual's request. Reporting period: FY20-FY21."
        },
        {
          "@type": "Distribution",
          "title": "P&A Information and Referral Services, FY22",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2022-p%26a-information-referral-services-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Information and referral services (I&R) responses to individuals, including meetings, one-time telephone discussions, and follow-up mailings, in response to an individual's request. Reporting period: FY22."
        },
        {
          "@type": "Distribution",
          "title": "P&A Information and Referral Services, FY23",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2023-p%26a-information-referral-services-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Information and referral services (I&R) responses to individuals, including meetings, one-time telephone discussions, and follow-up mailings, in response to an individual's request. Reporting period: FY23."
        },
        {
          "@type": "Distribution",
          "title": "P&A Information and Referral Services, FY24",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2024-p%26a-information-referral-services-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Information and referral services (I&R) responses to individuals, including meetings, one-time telephone discussions, and follow-up mailings, in response to an individual's request. Reporting period: FY24."
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-10-01",
          "endDate": "2024-09-30"
        }
      ],
      "issued": "2019-10-01",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://acl.gov/programs/pa-programs#intervention_strategies",
      "title": "P&A Intervention Strategies Used in Closing Individual Cases",
      "description": "Intervention strategies used by P&As to promote the rights of individuals with disabilities — e.g. abuse and neglect investigation, systemic litigation, educating policymakers — in closing individual cases. Collected from Protection & Advocacy (P&A) systems through the combined P&A One-PPR (Program Performance Report), required annually under the Developmental Disabilities Assistance and Bill of Rights Act (DD Act) of 2000.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Ophelia McLain, Program Manager — Administration on Disabilities",
          "hasEmail": "mailto:ophelia.mclain@acl.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Protection and Advocacy",
        "P&A",
        "One-PPR",
        "Disability Rights"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Protection and Advocacy"
        },
        {
          "@type": "Concept",
          "prefLabel": "Developmental Disabilities Act Programs"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Protection & Advocacy Systems (P&As)",
        "accessURL": "https://acl.gov/programs/pa-programs"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "P&A Intervention Strategies Used in Closing Individual Cases, FY20-FY21",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2020-21-p%26a-intervention-strategies-individuals-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Intervention strategies used by P&As to promote the rights of individuals with disabilities — e.g. abuse and neglect investigation, systemic litigation, educating policymakers — in closing individual cases. Reporting period: FY20-FY21."
        },
        {
          "@type": "Distribution",
          "title": "P&A Intervention Strategies Used in Closing Individual Cases, FY22",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2022-p%26a-intervention-strategies-individuals-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Intervention strategies used by P&As to promote the rights of individuals with disabilities — e.g. abuse and neglect investigation, systemic litigation, educating policymakers — in closing individual cases. Reporting period: FY22."
        },
        {
          "@type": "Distribution",
          "title": "P&A Intervention Strategies Used in Closing Individual Cases, FY23",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2023-p%26a-intervention-strategies-individuals-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Intervention strategies used by P&As to promote the rights of individuals with disabilities — e.g. abuse and neglect investigation, systemic litigation, educating policymakers — in closing individual cases. Reporting period: FY23."
        },
        {
          "@type": "Distribution",
          "title": "P&A Intervention Strategies Used in Closing Individual Cases, FY24",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2024-p%26a-intervention-strategies-individuals-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Intervention strategies used by P&As to promote the rights of individuals with disabilities — e.g. abuse and neglect investigation, systemic litigation, educating policymakers — in closing individual cases. Reporting period: FY24."
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-10-01",
          "endDate": "2024-09-30"
        }
      ],
      "issued": "2019-10-01",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://acl.gov/programs/pa-programs#living_arrangements",
      "title": "P&A Individual Clients' Living Arrangements",
      "description": "Living arrangements of individual P&A clients with intellectual or developmental disabilities (I/DD), including community-based versus institutional settings. Collected from Protection & Advocacy (P&A) systems through the combined P&A One-PPR (Program Performance Report), required annually under the Developmental Disabilities Assistance and Bill of Rights Act (DD Act) of 2000.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Ophelia McLain, Program Manager — Administration on Disabilities",
          "hasEmail": "mailto:ophelia.mclain@acl.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Protection and Advocacy",
        "P&A",
        "One-PPR",
        "Disability Rights"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Protection and Advocacy"
        },
        {
          "@type": "Concept",
          "prefLabel": "Developmental Disabilities Act Programs"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Protection & Advocacy Systems (P&As)",
        "accessURL": "https://acl.gov/programs/pa-programs"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "P&A Individual Clients' Living Arrangements, FY20-FY21",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2020-21-p%26a-individual-living-arrangements-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Living arrangements of individual P&A clients with intellectual or developmental disabilities (I/DD), including community-based versus institutional settings. Reporting period: FY20-FY21."
        },
        {
          "@type": "Distribution",
          "title": "P&A Individual Clients' Living Arrangements, FY22",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2022-p%26a-individual-living-arrangements-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Living arrangements of individual P&A clients with intellectual or developmental disabilities (I/DD), including community-based versus institutional settings. Reporting period: FY22."
        },
        {
          "@type": "Distribution",
          "title": "P&A Individual Clients' Living Arrangements, FY23",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2023-p%26a-individuals-living-arrangements-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Living arrangements of individual P&A clients with intellectual or developmental disabilities (I/DD), including community-based versus institutional settings. Reporting period: FY23."
        },
        {
          "@type": "Distribution",
          "title": "P&A Individual Clients' Living Arrangements, FY24",
          "downloadURL": "https://acl.gov/sites/default/files/programs/P%26A/fy2024-p%26a-individuals-living-arrangements-acl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX",
          "description": "Living arrangements of individual P&A clients with intellectual or developmental disabilities (I/DD), including community-based versus institutional settings. Reporting period: FY24."
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-10-01",
          "endDate": "2024-09-30"
        }
      ],
      "issued": "2019-10-01",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://acl.gov/programs/pa-programs#padd-resources",
      "title": "Protection and Advocacy for Individuals with Developmental Disabilities (PADD) Resources",
      "description": "Supplementary resources for the PADD program, authorized under the Developmental Disabilities Assistance and Bill of Rights Act of 2000 (DD Act).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Ophelia McLain, Program Manager — Administration on Disabilities",
          "hasEmail": "mailto:ophelia.mclain@acl.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "PADD",
        "Protection and Advocacy",
        "Developmental Disabilities"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Protection and Advocacy"
        },
        {
          "@type": "Concept",
          "prefLabel": "Developmental Disabilities Act Programs"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Protection & Advocacy Systems (P&As)",
        "accessURL": "https://acl.gov/programs/pa-programs"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Segregated & Exploited",
          "downloadURL": "https://acl.gov/sites/default/files/programs/2017-12/Segregated-and-Exploited_0.pdf",
          "mediaType": "application/pdf",
          "format": "PDF",
          "description": "National Disability Rights Network (NDRN) report finding a total failure of the disability service system to provide quality work for people with disabilities, focused on segregated work, sheltered environments, and low wages."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://acl.gov/programs/pa-programs#reasons_closing_group",
      "title": "P&A Reasons for Closing Group Cases",
      "description": "Reasons recorded by P&As for closing group advocacy cases. Collected from Protection & Advocacy (P&A) systems through the combined P&A One-PPR (Program Performance Report), required annually under the Developmental Disabilities Assistance and Bill of Rights Act (DD Act) of 2000.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Ophelia McLain, Program Manager — Administration on Disabilities",
          "hasEmail": "mailto:ophelia.mclain@acl.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Protection and Advocacy",
        "P&A",
        "One-PPR",
        "Disability Rights"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Protection and Advocacy"
        },
        {
          "@type": "Concept",
          "prefLabel": "Developmental Disabilities Act Programs"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Protection & Advocacy Systems (P&As)",
        "accessURL": "https://acl.gov/programs/pa-programs"
      },
      "distribution": [
        {
          "@type": "Distribution",
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      ],
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      ],
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    },
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        {
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        {
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    },
    {
      "@type": "Dataset",
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        "Older Americans Act",
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        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
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          "title": "Aging in Place: Do Older Americans Act Title III Services Reach Those Most Likely to Enter Nursing Homes?",
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          "@type": "Distribution",
          "title": "Multiple Service Use Among OAA Title III Program Participants",
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          "@type": "Distribution",
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          "@type": "Distribution",
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        },
        {
          "@type": "Distribution",
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        {
          "@type": "Distribution",
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    {
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          "prefLabel": "Health"
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        {
          "@type": "Concept",
          "prefLabel": "Disability"
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        {
          "@type": "Concept",
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          "title": "Measuring Systems Change: A Quick Guide",
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          "title": "ACL's Data Collection Process",
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    },
    {
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        {
          "@type": "Concept",
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        {
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          "title": "ACL Data Restructuring 2 Final Report",
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          "title": "ACL Data Restructuring 2 Variable Level Documentation",
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        {
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        {
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        "Computational biology"
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      "identifier": "https://arpa-h.gov/explore-funding/awards",
      "title": "ARPA-H Award Directory",
      "description": "The ARPA-H Award Directory: individual funded awards and projects across the ARPA-H portfolio, searchable by year, managing office, award type, and location. This inventory contains activities as published on the ARPA-H website.",
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      "keyword": [
        "HAI"
      ],
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        "accessURL": "https://arpsp.cdc.gov/about",
        "title": "AR&PSP About the Data and Downloads"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "AR&PSP Healthcare-Associated Infections",
          "description": "Access point for AR&PSP Healthcare- and Community-Associated Infections.",
          "accessURL": "https://arpsp.cdc.gov/profile/infections?tab=nhsn",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://arpsp.cdc.gov/profile/inpatient-antibiotic-use/all",
      "title": "AR&PSP Inpatient Antibiotic Use",
      "description": "The Standardized Antimicrobial Administration Ratio (SAAR) is a risk-adjusted summary measure of antimicrobial use available to acute care hospitals participating in the National Healthcare Safety Network (NHSN) Antimicrobial Use (AU) Option. Hospitals can use the SAAR to track AU, compare their AU to a national benchmark, and assess the impact of interventions aimed at improving prescribing practices. SAARs included in this page use the 2023 baseline.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "AR&PSP",
          "hasEmail": "mailto:arpsp@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Healthcare Quality Promotion (DHQP)",
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            "name": "Centers for Disease Control and Prevention (CDC)",
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                "name": "U.S. Department of Health and Human Services"
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            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Antimicrobial resistance and patient safety"
        }
      ],
      "keyword": [
        "Inpatient antibiotic use"
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://arpsp.cdc.gov/about",
        "title": "AR&PSP About the Data and Downloads"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "AR&PSP Inpatient Antibiotic Use",
          "description": "Access point for AR&PSP Inpatient Antibiotic Use.",
          "accessURL": "https://arpsp.cdc.gov/profile/inpatient-antibiotic-use/all",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://arpsp.cdc.gov/profile/stewardship",
      "title": "AR&PSP Antibiotic Stewardship",
      "description": "The implementation of antibiotic stewardship programs in acute care hospitals and long-term care facilities is assessed through the National Healthcare Safety Network's (NHSN) Patient Safety Component Annual Hospital Survey. Annual surveys are completed by staff in hospitals, and survey questions relating to antibiotic stewardship gauge a hospital’s uptake of CDC’s Core Elements for hospital antibiotic stewardship programs (ASPs), often referred to as the 7 Core Elements of Hospital ASPs.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "AR&PSP",
          "hasEmail": "mailto:arpsp@cdc.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Healthcare Quality Promotion (DHQP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Antimicrobial stewardship"
        }
      ],
      "keyword": [
        "Hospital stewardship",
        "antimicrobial stewardship"
      ],
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        "@type": "Document",
        "accessURL": "https://arpsp.cdc.gov/about",
        "title": "AR&PSP About the Data and Downloads"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "AR&PSP Antibiotic Stewardship Overview",
          "description": "Access point for AR&PSP Antibiotic Stewardship Overview.",
          "accessURL": "https://arpsp.cdc.gov/profile/stewardship",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://arvid-data.shinyapps.io/home/",
      "title": "Atlas of Regulatory Variants in Diseases (ARVID)",
      "description": "The Atlas of Regulatory Variants in Disease (ARVID) catalogs experimentally validated noncoding regulatory variants linked to inherited risk for common polygenic diseases. Through MPRAs and epigenomic profiling, ARVID systematically identifies noncoding variants with differential transcription-directing activity across biologically relevant human cell types and disease contexts. The resource provides binding quantitative trait loci (bQTLs) that illuminate which transcription factors are affected and links regulatory variants to the downstream target genes they dysregulate. ARVID's scope spans 42 common complex diseases including cardiovascular disease, neuropsychiatric disorders, cancer, diabetes, inflammatory and skin conditions, and others, with disease-specific data portals available through the project website. The resource is designed for long-term growth, with data continuously added as new disease cohorts are analyzed and published, supporting variant interpretation, disease risk stratification, and the identification of novel therapeutic targets.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
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            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
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          "prefLabel": "human"
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      "keyword": [
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        {
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          "accessURL": "https://arvid-data.shinyapps.io/home/"
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      ],
      "inventoried": "2026-09-27"
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    {
      "@type": "Dataset",
      "identifier": "https://aspe.hhs.gov/topics/poverty-economic-mobility/poverty-guidelines/prior-hhs-poverty-guidelines-federal-register-references",
      "title": "HHS Poverty Guidelines",
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      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Kendall Swenson",
          "hasEmail": "mailto:Kendall.swenson@hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Human Services Policy",
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        ]
      },
      "accessRights": "public",
      "modified": "2026-01-15",
      "issued": "1982-01-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Poverty and Economic Mobility"
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        "poverty guidelines",
        "federal poverty level",
        "FPL",
        "income eligibility",
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          "prefLabel": "United States"
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      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://aspe.hhs.gov/topics/poverty-economic-mobility/poverty-guidelines",
        "title": "Poverty Guidelines | ASPE"
      },
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "isReferencedBy": [
        "https://www.federalregister.gov/documents/2026/01/15/2026-00755/annual-update-of-the-hhs-poverty-guidelines"
      ],
      "status": "active",
      "accrualPeriodicity": "annually",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Prior HHS Poverty Guidelines and Federal Register References (web page)",
          "description": "Umbrella page linking each year's poverty guidelines computations and their Federal Register notices.",
          "accessURL": "https://aspe.hhs.gov/topics/poverty-economic-mobility/poverty-guidelines/prior-hhs-poverty-guidelines-federal-register-references",
          "format": "HTML",
          "mediaType": "text/html",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Unrestricted",
              "specificRestriction": "None",
              "restrictionNote": "No legal or technical access restrictions apply. Data is published publicly."
            }
          ],
          "useRestriction": [
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              "restrictionStatus": "Unrestricted"
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          ]
        },
        {
          "@type": "Distribution",
          "title": "Current (2026) Poverty Guidelines Computations (web page)",
          "description": "Human-readable computations page for the current-year (2026) poverty guidelines (48 contiguous states and DC).",
          "accessURL": "https://aspe.hhs.gov/topics/poverty-economic-mobility/poverty-guidelines/prior-hhs-poverty-guidelines-federal-register-references/2026-poverty-guidelines-computations",
          "format": "HTML",
          "mediaType": "text/html",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Unrestricted",
              "specificRestriction": "None",
              "restrictionNote": "No legal or technical access restrictions apply. Data is published publicly."
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "Unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "Current (2026) Poverty Guidelines: 48 Contiguous States (PDF)",
          "description": "Detailed current-year (2026) poverty guidelines table in PDF form.",
          "downloadURL": "https://aspe.hhs.gov/sites/default/files/documents/b1bfa16b20ae9b89d525bc35de7c1643/detailed-guidelines-2026.pdf",
          "format": "PDF",
          "mediaType": "application/pdf",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Unrestricted",
              "specificRestriction": "None",
              "restrictionNote": "No legal or technical access restrictions apply. Data is published publicly."
            }
          ],
          "useRestriction": [
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              "@type": "UseRestriction",
              "restrictionStatus": "Unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "Poverty Guidelines API",
          "description": "Machine-readable JSON access to the poverty guidelines (1983 to current year) via the ASPE Poverty Guidelines API, by year, state, and household size.",
          "format": "JSON",
          "mediaType": "application/json",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Unrestricted",
              "specificRestriction": "None",
              "restrictionNote": "No legal or technical access restrictions apply. Data is published publicly."
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "Unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "@id": "https://aspe.hhs.gov/topics/poverty-economic-mobility/poverty-guidelines/poverty-guidelines-api",
              "title": "ASPE Poverty Guidelines API",
              "endpointURL": [
                "https://aspe.hhs.gov/topics/poverty-economic-mobility/poverty-guidelines/api/"
              ],
              "endpointDescription": [
                "https://aspe.hhs.gov/topics/poverty-economic-mobility/poverty-guidelines/poverty-guidelines-api"
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              "contactPoint": [
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                  "@type": "Kind",
                  "fn": "ASPE Poverty Guidelines Team",
                  "hasEmail": "mailto:Kendall.swenson@hhs.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Office of the Assistant Secretary for Planning and Evaluation"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://bgas.samhsa.gov/Module/BGAS/Users",
      "title": "Web Block Grant Application System (WebBGAS)",
      "description": "Repository for completed block grant applications and statutorily required data for state-level grant programs.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Center for Substance Abuse Treatment (CSAT), Center for Substance Abuse Prevention (CSAP), Center for Mental Health Services (CMHS), Center for Behavioral Health Statistics and Quality",
          "hasEmail": "mailto:SAMHSAInfo@samhsa.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Substance Abuse Treatment (CSAT); Center for Substance Abuse Prevention (CSAP); Center for Mental Health Services (CMHS); Center for Behavioral Health Statistics and Quality",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Substance Abuse and Mental Health Services Administration (SAMHSA)",
            "subOrganizationOf": [
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "restricted public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://bmrb.io/",
      "title": "Biological Magnetic Resonance Data Bank (BMRB)",
      "description": "BMRB collects, annotates, archives, and disseminates (worldwide in the public domain) the important spectral and quantitative data derived from NMR spectroscopic investigations of biologically relevant molecules.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of General Medical Sciences (NIGMS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Imaging"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://bmrb.io/software/query/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://boreas.urban.org/T3Welcome.php",
      "title": "TRIM3 Microsimulation Model - Annual Baseline",
      "description": "The annual baseline output of the Transfer Income Model, version 3 (TRIM3), a comprehensive static microsimulation model of the major U.S. tax, transfer, and health programs. TRIM3 is developed and maintained at the Urban Institute under primary funding from HHS/ASPE. The annual baseline simulates actual program rules to correct for underreporting of benefits in the Census Bureau's CPS ASEC survey data and to create derived variables such as program-eligibility indicators not present in the input data. Results are available at the individual, family, state, and national levels across more than a dozen benefit and tax programs. The baseline microdata, data dictionary, and simulated program rules are accessible through the TRIM3 web portal to users who register for a data-user account. This record covers only the ASPE-funded annual baseline output; upstream source inputs (Census Bureau survey data, program administrative records, state policy parameters) are maintained by their respective originators and are inventoried separately by those sources.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Suzanne Macartney",
          "hasEmail": "mailto:suzanne.macartney@hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Human Services Policy",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Assistant Secretary for Planning and Evaluation (ASPE)",
            "subOrganizationOf": [
              {
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "restricted public",
      "modified": "2025-12-31",
      "issued": "1997-01-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Social Economic household survey data"
        }
      ],
      "keyword": [
        "microsimulation",
        "TRIM3",
        "safety net",
        "program eligibility",
        "tax and transfer",
        "baseline simulation",
        "CPS ASEC"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://boreas.urban.org/T3Welcome.php",
        "title": "TRIM3 Portal"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Urban Institute"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "Urban Institute"
        }
      ],
      "rights": [
        "Produced by the Urban Institute under contract with HHS/ASPE. Access requires registration for a TRIM3 data-user account. Citation and use terms are published on the TRIM3 portal (https://boreas.urban.org/T3Cite.php)."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Urban Institute"
      },
      "isReferencedBy": [
        "https://www.urban.org/research/data-methods/data-analysis/quantitative-data-analysis/microsimulation/transfer-income-model-trim"
      ],
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        {
          "@type": "OtherIdentifier",
          "notation": "CONTRACT-47QRAA18D003Z/75P00125F80090"
        }
      ],
      "status": "active",
      "accrualPeriodicity": "annually",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://boreas.urban.org/T3Technical.php",
        "title": "TRIM3 Technical Documentation"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "TRIM3 Portal - Baseline Data Access (registration required)",
          "description": "Indirect access: register for a TRIM3 data-user account through the portal to view the data dictionary, browse simulated program rules, and view/extract annual baseline microdata at individual, family, state, and national levels.",
          "accessURL": "https://boreas.urban.org/T3Welcome.php",
          "format": "Web portal (registration required)",
          "mediaType": "text/html",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://boreas.urban.org/T3Technical.php",
            "title": "TRIM3 Technical Documentation"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Restricted - Partly",
              "specificRestriction": "Registration required",
              "restrictionNote": "Publicly available to any user who registers for a free TRIM3 data-user account through the portal; registration enables viewing the data dictionary, browsing simulated program rules, and viewing/extracting baseline microdata."
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "Restricted - Partly"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://bossdb.org/",
      "title": "Brain Observatory Storage Service & Database (BossDB)",
      "description": "BossDB is a volumetric database for 3D and 4D neuroscience data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Mental Health (NIMH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Imaging",
        "Neuroscience"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://bossdb.org/projects"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://brcaexchange.org/",
      "title": "The BRCA Exchange Knowledgebase",
      "description": "The BRCA Exchange aims to advance our understanding of the genetic basis of breast, ovarian, prostate, pancreatic and other cancers by pooling data on BRCA1/2 genetic variants and corresponding clinical data from around the world.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Cancer Institute (NCI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://brcaexchange.org/about/api"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://burndata.washington.edu/bms-database/#annual-report",
      "title": "BMS Annual Report",
      "description": "Summary and descriptive analysis of the Burn Model Systems National Database (NDB), a prospective, longitudinal, multi-center research data repository containing measures of functional and psychosocial outcomes following moderate to severe burn injury.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Burn Model Systems National Data and Statistical Center (BDC)",
          "hasEmail": "mailto:burndata@uw.edu"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Burn Model Systems National Data and Statistical Center (BDC), Department of Rehabilitation Medicine, University of Washington"
      },
      "accessRights": "public",
      "keyword": [
        "Burn Injury",
        "BMS",
        "Annual Report"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Burn Injury"
        },
        {
          "@type": "Concept",
          "prefLabel": "Rehabilitation Research"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "BMS Database",
        "accessURL": "https://burndata.washington.edu/bms-database/"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "BMS Annual Report",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/2026BMS_Annual_Report.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        }
      ],
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      "description": "The Burn Injury Model System National Database (NDB) — a prospective, longitudinal, multi-center research data repository containing measures of functional and psychosocial outcomes following moderate to severe burn injury, with data on over 4,000 adults and 2,000 children. Data are collected at hospital discharge, 6, 12, and 24 months post-injury, and every five years thereafter. Persistent identifier: DOI 10.17605/OSF.IO/SWC2P. Data are provided by request rather than direct download.",
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        "De-Identified Data"
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          "description": "Overview of the BMS data request process, including the request/use agreement form and links to the survey-based request mechanism."
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          "title": "BMS Codebook",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/legacy/files/BurnModelSystem_CurrentCodebook_v7_2023.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
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          "@type": "Distribution",
          "title": "BMS Dataset Primer (PowerPoint)",
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          "@type": "Distribution",
          "title": "BMS Data Collection Timeline Overview",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/legacy/files/BMS-Timelines-2024.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
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          "@type": "Distribution",
          "title": "BMS Database Data Access Fact Sheet",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/legacy/files/Burn_Access_BMS_Database_May2018.pdf",
          "mediaType": "application/pdf",
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          "title": "BMS Data Request and Use Agreement Form",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/legacy/files/BMSExternalRequestFormforBMSDatabase_2022-7-25.docx",
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          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/legacy/files/BMS-Database-Info-2024-02-23.docx",
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    {
      "@type": "Dataset",
      "identifier": "https://burndata.washington.edu/education/training-and-technical-assistance/#training-materials",
      "title": "BMS Training Materials",
      "description": "Recruitment and retention flyers used by BMS centers for enrolling and retaining participants in the BMS National Database.",
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    {
      "@type": "Dataset",
      "identifier": "https://burndata.washington.edu/standard-operating-procedures#sop",
      "title": "BMS Standard Operating Procedures",
      "description": "Standard Operating Procedures governing the BMS National Database lifecycle, covering subject identification and recruitment, follow-up data collection, data quality, data use agreements, database change management, and inclusion criteria.",
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          "title": "Identification of Subjects",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/101BMS_IdentificationofParticipantsSOP_2025-12-17.pdf",
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          "title": "Guidelines for BMS National Database Recruitment, Consenting, and Withdrawal of Participants",
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          "mediaType": "application/pdf",
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          "title": "Guidelines and Strategies for Maximizing Follow-up",
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          "title": "Data Quality Guidelines",
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          "title": "Guidelines for Collection of Follow-up Data",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/105BMS-Guidelines-for-Collection-of-Follow-up-Data2025-10-3.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Obtaining Cause of Death",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/106BMS_ObtainingCauseofDeath_2026-8-10.pdf",
          "mediaType": "application/pdf",
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        },
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          "@type": "Distribution",
          "title": "Handling Suicidal Ideation",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/legacy/files/107BMS_HandlingSI_2021-02-05.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Resolving Coding Issues",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/legacy/files/108BMS_ResolvingCoding2020-02-05.pdf",
          "mediaType": "application/pdf",
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        },
        {
          "@type": "Distribution",
          "title": "BMS Data Collection Form Storage",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/legacy/files/109BMS_DataStorage_20211022.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "BMS Genetic Data Collection",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/110BMS_GeneticDataCollection_2026-1-26.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "NDSC Data Use Agreement",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/legacy/files/601BMS-NDSC-Data-Use-Agreement-2015-9-30.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Internal Notification for Research using BMS National Database, Archived Collaborative Study Datasets, and Ongoing Collaborative Study Datasets SOP and Form",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/602BMS_InternalNotificationSOP_2024-10-23.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "External Request for BMS National Database and Archived Collaborative Study Datasets SOP and Form & External Request Form",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/legacy/files/604BMSExternalRequestforBMSDatabase_2024-2-28.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Creating and Changing Standard Operating Procedures SOP and Form",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/legacy/files/605BMS_Creating-or-Changing-SOPs_2021-04-12.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Performance Target Monitoring",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/606BMS_PerformanceMonitoringSOP_2025-10-3.pdf",
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          "@type": "Distribution",
          "title": "Procedure for Implementing Changes to the Database",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/legacy/files/607BMS_Changes_to_the_Database_SOP_and_form_2021-08-31.pdf",
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          "@type": "Distribution",
          "title": "Branding and Authorship",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/608BMS_BrandingAuthorshipPolicy_2025-5-12.pdf",
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        {
          "@type": "Distribution",
          "title": "Module Project Procedures",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/609BMS_ModulesSOP_2025-10-28.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Data Collector Certification",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/610BMS_Data_Collector_Certification.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "BMS Approved Collaborative Relationships with External Partners",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/611BMS_ExternalCollaborationsSOP_2025-10-28.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Harmonization of Follow-up Rates",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/legacy/files/MS-NDSC-GuidanceDoc1_FUP-Rates-Harmonization.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "1st BMS Inclusion Criteria",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/legacy/files/bms_criteria_initial.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "2nd BMS Inclusion Criteria",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/legacy/files/bms_criteria_second.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
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        {
          "@type": "Distribution",
          "title": "3rd BMS Inclusion Criteria",
          "downloadURL": "https://burndata.washington.edu/wp-content/uploads/legacy/files/bms_criteria_third.pdf",
          "mediaType": "application/pdf",
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        }
      ],
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    },
    {
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      "identifier": "https://caninecommons.cancer.gov/#/",
      "title": "Integrated Canine Data Commons (ICDC)",
      "description": "NCI's Division of Cancer Treatment and Diagnosis (DCTD) charged the Frederick National Laboratory for Cancer Research (FNLCR) to build the Integrated Canine Data Commons (ICDC), a cloud-based repository of spontaneously-arising canine cancer data. ICDC was established to further research on human cancers by enabling comparative analysis with canine cancer. The data in the ICDC is sourced from multiple different programs and projects; all focused on canine subjects. The data is harmonized into an integrated data model and then made available to the research community. The ICDC is part of the Cancer Research Data Commons (CRDC), an initiative from NCI‚Äôs Center for Biomedical Informatics and Information Technology (CBIIT). Bioinformatic analysis of the ICDC data is accomplished using the CRDC‚Äôs Cloud Resources.",
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          "fn": "Office of Data Science Strategy (ODSS)",
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        "name": "National Cancer Institute (NCI)",
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          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
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              {
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                "name": "U.S. Department of Health and Human Services"
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            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
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          "prefLabel": "non-human"
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      ],
      "keyword": [
        "Clinical research",
        "Computational biology",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://caninecommons.cancer.gov/#/icdc-data-model"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://catada.info/aggregate-apr-data#aggregate-apr-current",
      "title": "Aggregate APR Data (Current)",
      "description": "National activity reports generated from State AT Program Annual Progress Report data submitted to the National Assistive Technology Act Data System, covering state-level activity (device demonstration, loan, reutilization, financing), state leadership activity (training, information and assistance, technical assistance), performance measures, consumer satisfaction, and leveraged funding data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Daria Domin, Project Manager, CATADA",
          "hasEmail": "mailto:daria.domin@umb.edu"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Assistive Technology Act Data Assistance (CATADA), Institute for Community Inclusion (ICI) at UMass Boston, and the Illinois Assistive Technology Program (IATP)"
      },
      "accessRights": "public",
      "keyword": [
        "Assistive Technology",
        "Aggregate APR Data",
        "AT Act"
      ],
      "theme": [
        {
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          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
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        {
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      ],
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        "@type": "Document",
        "title": "Aggregate APR Data current",
        "accessURL": "https://catada.info/aggregate-apr-data"
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      "distribution": [
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          "title": "Device Demonstration",
          "downloadURL": "https://catada.info/assets/aggr_reports25/Device%20Demo.html",
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          "title": "Device Loan",
          "downloadURL": "https://catada.info/assets/aggr_reports25/Device%20Loan.html",
          "mediaType": "text/html",
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        },
        {
          "@type": "Distribution",
          "title": "Device Reutilization",
          "downloadURL": "https://catada.info/assets/aggr_reports25/Device%20Reutilization.html",
          "mediaType": "text/html",
          "format": "HTML"
        },
        {
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          "title": "Financial Loan",
          "downloadURL": "https://catada.info/assets/aggr_reports25/Financial%20Loan.html",
          "mediaType": "text/html",
          "format": "HTML"
        },
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          "title": "State Financing Other",
          "downloadURL": "https://catada.info/assets/aggr_reports25/State%20Financing%20Other.html",
          "mediaType": "text/html",
          "format": "HTML"
        },
        {
          "@type": "Distribution",
          "title": "Acquisition Summary",
          "downloadURL": "https://catada.info/assets/aggr_reports25/Acquisition%20Summary.html",
          "mediaType": "text/html",
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        },
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          "title": "State Level Device Summary",
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          "title": "State Improvement Outcomes",
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        },
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          "title": "Performance Measures",
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        {
          "@type": "Distribution",
          "title": "Consumer Satisfaction",
          "downloadURL": "https://catada.info/assets/aggr_reports25/Consumer%20Satisfaction.html",
          "mediaType": "text/html",
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        },
        {
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          "title": "Leveraged Funds",
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          "mediaType": "text/html",
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        }
      ],
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          "@type": "DatasetSeries",
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          "title": "Aggregate APR Data",
          "description": "Series of national activity reports generated annually from State AT Program Annual Progress Report data, covering fiscal years 2017 through the current reporting year."
        }
      ],
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          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "AT Data Brief, Issue No. 15 (2023)",
          "downloadURL": "https://catada.info/assets/files/AT-2023_D3.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "AT Data Brief, Issue No. 16 (2024)",
          "downloadURL": "https://catada.info/assets/2024/ATAP_2024_R.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "AT Data Brief, Issue No. 17 (2025)",
          "downloadURL": "https://catada.info/assets/files/AT-Report-FY25_R.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "AT Data Brief, Issue No. 18 (2026)",
          "downloadURL": "https://catada.info/assets/2025/AT-Report-FY2025_R.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://catada.info/federal-reporting-forms#federal-forms",
      "title": "Federal Reporting Forms",
      "description": "Federal reporting instruments and instructions for the State AT Program Annual Progress Report (APR) and State Plan for AT, plus supporting reference documents including the AT device classification taxonomy.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Daria Domin, Project Manager, CATADA",
          "hasEmail": "mailto:daria.domin@umb.edu"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Assistive Technology Act Data Assistance (CATADA), Institute for Community Inclusion (ICI) at UMass Boston, and the Illinois Assistive Technology Program (IATP)"
      },
      "accessRights": "public",
      "keyword": [
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        "Federal Reporting",
        "APR",
        "State Plan"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Assistive Technology"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Federal Reporting Forms",
        "accessURL": "https://catada.info/federal-reporting-forms"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Instruction Manual for the State AT APR",
          "downloadURL": "https://catada.info/assets/2024/2024-AT-APR-Instruction-Manual-Final.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "State Grant for AT Annual Progress Report (APR) Instrument",
          "downloadURL": "https://catada.info/assets/2024/2024-AT-APR-Instrument-Final.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Federal Reporting Requirements 2020",
          "downloadURL": "https://catada.info/assets/files/Federal_Reporting_Requirements%20Table_2020.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "format": "DOCX"
        },
        {
          "@type": "Distribution",
          "title": "Classification of AT Devices Taxonomy",
          "downloadURL": "https://catada.info/assets/files/Classification_of_AT_Devices%20Taxonomy_Aug_2019.docx",
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          "format": "DOCX"
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        {
          "@type": "Distribution",
          "title": "State Plan for AT Instrument and Instructions, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/2024/State_Plan_for_AT_Instrument_and_Instructions_2024_for_comment.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
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      "title": "Program Participation Data (FY 2024)",
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        {
          "@type": "Kind",
          "fn": "Daria Domin, Project Manager, CATADA",
          "hasEmail": "mailto:daria.domin@umb.edu"
        }
      ],
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        "@type": "Organization",
        "name": "Center for Assistive Technology Act Data Assistance (CATADA), Institute for Community Inclusion (ICI) at UMass Boston, and the Illinois Assistive Technology Program (IATP)"
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      "keyword": [
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        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
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      ],
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      "inventoried": "2026-09-27"
    },
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      "title": "State Plan Activity Web Links Table",
      "description": "A table providing links to web pages for specific AT activities for each State AT Program, drawn from the State Plan for Assistive Technology.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Daria Domin, Project Manager, CATADA",
          "hasEmail": "mailto:daria.domin@umb.edu"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Assistive Technology Act Data Assistance (CATADA), Institute for Community Inclusion (ICI) at UMass Boston, and the Illinois Assistive Technology Program (IATP)"
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      "accessRights": "public",
      "keyword": [
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        "State Plan"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Assistive Technology"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State Plan Data",
        "accessURL": "https://catada.info/state-plan-data"
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      "distribution": [
        {
          "@type": "Distribution",
          "title": "State Plan Activity Web Links Table (2025)",
          "downloadURL": "https://catada.info/assets/CATADA%20table_2025_R.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        }
      ],
      "inventoried": "2026-09-27"
    },
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      "@type": "Dataset",
      "identifier": "https://catada.info/state.html#state-at-plans",
      "title": "State AT Program Plans (FY 2024-2026)",
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      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Daria Domin, Project Manager, CATADA",
          "hasEmail": "mailto:daria.domin@umb.edu"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Assistive Technology Act Data Assistance (CATADA), Institute for Community Inclusion (ICI) at UMass Boston, and the Illinois Assistive Technology Program (IATP)"
      },
      "accessRights": "public",
      "keyword": [
        "Assistive Technology",
        "State Plan",
        "AT Act"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Assistive Technology"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State AT Program Information",
        "accessURL": "https://catada.info/state.html"
      },
      "distribution": [
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          "@type": "Distribution",
          "title": "Alabama State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/AL%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Alaska State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/AK%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "American Samoa State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/AS%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Arizona State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/AZ%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Arkansas State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/AR%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "California State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/CA%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Colorado State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/CO%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Connecticut State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/CT%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Delaware State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/DE%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "District of Columbia State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/DC%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Florida State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/FL%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Georgia State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/GA%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Guam State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/GU%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Hawaii State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/HI%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Idaho State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/ID%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Illinois State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/IL%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Indiana State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/IN%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Kansas State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/KS%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Kentucky State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/KY%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Louisiana State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/LA%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Maine State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/ME%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Maryland State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/MD%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Massachusetts State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/MA%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Michigan State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/MI%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Minnesota State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/MN%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Mississippi State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/MS%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Missouri State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/MO%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Montana State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/MT%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Nebraska State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/NE%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Nevada State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/NV%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "New Hampshire State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/NH%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "New Jersey State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/NJ%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "New Mexico State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/NM%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "New York State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/NY%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "North Carolina State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/NC%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "North Dakota State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/ND%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Northern Mariana Islands State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/MP%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Ohio State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/OH%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Oklahoma State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/OK%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Oregon State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/OR%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Pennsylvania State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/PA%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Puerto Rico State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/PR%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Rhode Island State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/RI%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "South Carolina State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/SC%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "South Dakota State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/SD%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Tennessee State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/TN%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Texas State Plan for Assistive Technology, FY 2024-2026",
          "downloadURL": "https://catada.info/assets/state_at_plans_2024/TX%20State%20Plan%20FY2024-2026.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "U.S. Virgin Islands State Plan for Assistive Technology, FY 2024-2026",
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        "accessURL": "https://data.cdc.gov/Public-Health-Surveillance/V-safe-COVID-19-Pandemic-MedDRA-coded-text-respons/5biu-jjj3",
        "title": "V-safe COVID-19 MedDRA-coded Responses dataset"
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      "status": "completed",
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      "inventoried": "2026-09-27"
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      "inventoried": "2026-09-27"
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    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/Public-Health-Surveillance/Weekly-Hospital-Respiratory-Data-HRD-Metrics-by-Ju/rhwp-grxi",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/Public-Health-Surveillance/Weekly-Hospital-Respiratory-Data-HRD-Metrics-by-Ju/ua7e-t2fy",
      "title": "Weekly Hospital Respiratory Data Metrics - Current",
      "description": "Public CDC dataset / api providing data or related information for Hospital respiratory data.",
      "contactPoint": [
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            ]
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        ]
      },
      "accessRights": "public",
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          "prefLabel": "Hospital respiratory data"
        }
      ],
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      "status": "active",
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          "accessURL": "https://data.cdc.gov/Public-Health-Surveillance/Weekly-Hospital-Respiratory-Data-HRD-Metrics-by-Ju/ua7e-t2fy",
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              "@id": "https://data.cdc.gov/api/v3/views/ua7e-t2fy/query.json",
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          ]
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/Public-Health-Surveillance/Weekly-Respiratory-Pathogens-and-Vaccination-RPV-M/tscn-ryh9",
      "title": "Weekly Respiratory Pathogens and Vaccination Metrics dataset",
      "description": "Public CDC dataset / api providing data or related information for Nursing homes.",
      "contactPoint": [
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        ]
      },
      "accessRights": "public",
      "theme": [
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          "prefLabel": "Nursing homes"
        }
      ],
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        "title": "Weekly Respiratory Pathogens and Vaccination Metrics dataset"
      },
      "status": "active",
      "distribution": [
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          "title": "Weekly Respiratory Pathogens and Vaccination Metrics dataset",
          "description": "Access point for Weekly Respiratory Pathogens and Vaccination Metrics dataset.",
          "accessURL": "https://data.cdc.gov/Public-Health-Surveillance/Weekly-Respiratory-Pathogens-and-Vaccination-RPV-M/tscn-ryh9",
          "format": "Dataset / API",
          "accessService": [
            {
              "@type": "DataService",
              "@id": "https://data.cdc.gov/api/v3/views/tscn-ryh9/query.json",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Pulmonary evaluation of whole-body inhalation exposure of polycarbonate (PC) filament 3D printer emissions in rats",
      "description": "Additive manufacturing (AM) is a broad manufacturing term that encompasses a range of processes that create objects by adding material through a computer-aided design model.  Three-dimensional (3D) printing is a form of AM, which builds objects layer-by-layer deposition of feedstock material using a 3D printer machine and computer software.  Fused filament fabrication (FFF, also known as Filament Freeform Fabrication) is one 3D printing process in which filaments are melted and extruded from a heated nozzle to deposit material.  FFF is an emerging technology and one of the most popular additive manufacturing processes, especially for consumers and small manufacturers.  Polycarbonate (PC) is a versatile material and PC filaments are widely used for fused filament fabrication 3D printing.  PC filaments are often loaded with additives to achieve different properties of the print objects.  These additives range from dyes, organometallic compounds, carbon nanomaterials, nanometal oxides to micrometer-scale particles such as copper, bronze, steel, tungsten, gold, and aluminum nitride (Vance et al., 2017).   Several engineered nanomaterials were infused into PC filaments, such as silicon dioxide nanoparticles, titanium nitride nanoparticles (Vidakis et al., 2021), titanium carbide nanopowder (Vidakis et al., 2022a), aluminum nitride nanoparticles (Vidakis et al., 2022b), and carbon nanotubes (Potter et al., 2021).\n\nDuring heating, PC filament undergoes thermal degradation and releases fine particles (0.1 to 2.5 um) and incidental nanoparticles (d < 100 nm) as well as numerous volatile, and semi-volatile organic compounds that are likely derived from PC polymer and additives in the polymer (Azimi et al., 2016; Byrley et al., 2020; Gu et al., 2019; Stefaniak et al., 2017; Stefaniak et al., 2019; Alijagic et al., 2022; Tedla et al., 2022).   These emissions could pose a potential hazard to human health.  Currently, the potential health hazard of PC filament printing emissions has not been determined.\n\nA NIOSH research group used a condensation nuclei counter to study PC filament emission rates, and determined that the number-based particle emission rates from an industrial-scale material extrusion AM machine were around 2.2 x1011 number/minute and the total volatile organic compound emission rates were around 1.9 x 104 µg/minute (Stefaniak et al., 2019).  The same group also found low levels of acetone, benzene, toluene, and m,p-xylene during PC filament printing processes.  Potter et al showed that PC filament emissions contained bisphenol A (BPA), phenol, chlorobenzene, DEHP, and di-tert-butylphenol (Potter et al., 2019).  In our previous studies on PC filament printer emission-induced cell toxicity (Farcas et al., 2019), emissions from a commercial PC 3D printer were generated in a chamber using a 3D printer and collected in cell culture medium.  The number-based size distribution of the particles inside the chamber was between 140-170 nm and the mean particle sizes in cell culture medium were 201±18 nm.  Analysis of elemental composition of particles collected in the cell culture medium found C, O, Ca, Na, Si, Ni, Cr, Fe, S, Al, and Cl.  The organic compounds in the emission collection cell culture medium were BPA, p-isopropenylphenol, and phenol.  At 24 h post-exposure, PC emissions were internalized in human small airway epithelial cells (SAEC) and induced a dose-dependent cytotoxicity, oxidative stress, apoptosis, necrosis, and increases in pro-inflammatory cytokine and chemokine production in SAEC (Farcas et al., 2019).  The results demonstrated that PC filament 3D printing emissions induce a cellular toxicity in SAEC.\n\nAlthough cell-based in vitro toxicity analysis is increasingly applied to screen and rank chemicals for prioritizing toxicity studies, as well as to study toxic mechanisms, the toxicological significance of in vitro study-generated data in hazard and risk assessment is limited.  In comparison with animal-based in",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/235m-gsry",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Pathology and Physiology Branch, Health Effects Laboratory Division",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/download/235m-gsry/application/x-zip-compressed",
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          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Pulmonary evaluation of whole-body inhalation exposure of polycarbonate (PC) filament 3D printer emissions in rats - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/235m-gsry",
        "description": "Pulmonary evaluation of whole-body inhalation exposure of polycarbonate (PC) filament 3D printer emissions in rats - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
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      },
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        "009:20"
      ],
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    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Invasive Pneumococcal to Legionellosis",
      "description": "NNDSS - Table II. Invasive Pneumococcal to Legionellosis - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as < 5 years. Since 2010, case notifications for this condition were consolidated under one event code for Invasive pneumococcal disease.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/23gt-ssfe",
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        }
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        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nedss",
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        "invasive pneumococcal disease",
        "legionellosis",
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        "nndss",
        "netss",
        "mmwr"
      ],
      "modified": "2026-09-09",
      "distribution": [
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        },
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          "accessURL": "https://data.cdc.gov/d/23gt-ssfe",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/23gt-ssfe/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/23gt-ssfe",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/23gt-ssfe/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Invasive Pneumococcal to Legionellosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/23gt-ssfe",
        "description": "NNDSS - Table II. Invasive Pneumococcal to Legionellosis - Dataset Home",
        "issued": "2019-01-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
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          }
        ]
      },
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        "009:00"
      ],
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        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic",
      "description": "NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a \"U\" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ The pertussis case definition was modified by CSTE effective January 1, 2020. Criteria were modified increasing sensitivity for case ascertainment such that case counts may increase.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/247v-f7n9",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nedss",
        "nndss",
        "poliomyelitis",
        "wonder",
        "paralytic",
        "pertussis",
        "plague",
        "netss",
        "2020"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/247v-f7n9/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/247v-f7n9",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/247v-f7n9/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/247v-f7n9",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/247v-f7n9/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/247v-f7n9/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/247v-f7n9",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/247v-f7n9/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/247v-f7n9",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/247v-f7n9/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/247v-f7n9",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/247v-f7n9/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/247v-f7n9",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/247v-f7n9",
        "description": "NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NPPTL Filtering Facepiece Respirators with an Exhalation Valve: Measurements of Filtration Efficiency to Evaluate Their Potential for Source Control",
      "description": "Filtering facepiece respirators (FFRs) are used extensively by healthcare personnel (HCP) during a pandemic. FFRs are primarily reserved for those personnel who have a greater risk and longer duration of exposure compared with other workers and the general public. Some FFR models contain an exhalation valve, which is a device that closes to allow inhaled breath to be pulled through the filter media and opens to allow exhaled breath to be expelled from the respirator through the exhalation valve as well as the filter media. These FFR models provide the wearer with a level of protection like that of an FFR without an exhalation valve, and they are thought to increase the wearer’s comfort at high work rates and be suitable for longer periods of use. However, respiratory secretions expelled by wearers may exit along with air through the exhalation valve. A concern with FFRs with an exhalation valve is that individuals may spread disease if unfiltered, virus-laden aerosols pass through the valve.\n\nDuring the COVID-19 pandemic, guidance from the Centers for Disease Control and Prevention (CDC) did not recommend using an FFR with an exhalation valve for source control (i.e., to filter respiratory secretions to prevent disease transmission to others) and advised that if only this option isavailable and source control was needed, then the valve should be covered with a surgical mask, procedure mask, or a cloth face covering that does not interfere with the respirator fit. The CDC requested research to provide improved science-based recommendations on the use of exhalation valves.\n\nThis study had three aims: (1) to measure the filtration efficiency provided by FFRs with an exhalation valve under conditions of inward airflow (i.e., in the direction of inhalation) and outward airflow (i.e., in the direction of exhalation); (2) to evaluate how particle penetration in FFRs with an exhalation valve compares to particle penetration in surgical masks, procedure masks, cloth face coverings, and fabric from cotton t-shirts; and (3) to determine the filtration efficiency of three modifications to the exhalation valve in FFRs with the goal of mitigating the emission of unfiltered particles. To accomplish these three aims, thirteen FFR models were each tested in two positions: inward position, which is used by the NIOSH Respirator Approval Program when testing N-type respirators, and outward position, which was used experimentally to channel airflow in the direction of exhalation. For the inward position, three mitigation strategies were used:\n(1)covering the valve on the interior of the FFR with commonly available surgical tape,\n(2)covering the valve on the interior of the FFR with an electrocardiogram (ECG) pad; and\n(3)stretching a surgical mask over the exterior of the FFR.\n\nThe purpose of these three strategies was to measure the varying filtration efficiencies to determine their contribution toward source control. Both positions and all mitigation strategies were tested at three airflow rates: 25, 55, and 85 lpm (liters per minute). In addition to the FFR evaluations, researchers evaluated a selection of surgical masks, procedure masks, cloth face coverings, and fabric from cotton t-shirts using the outward position and flowrates described previously.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/24ct-nyt8",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Research Branch (RB) National Personal Protective Technology Laboratory (NPPTL)",
          "hasEmail": "mailto:ODAdmin@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/24ct-nyt8/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/24ct-nyt8",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NPPTL Filtering Facepiece Respirators with an Exhalation Valve: Measurements of Filtration Efficiency to Evaluate Their Potential for Source Control - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/24ct-nyt8",
        "description": "NPPTL Filtering Facepiece Respirators with an Exhalation Valve: Measurements of Filtration Efficiency to Evaluate Their Potential for Source Control - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2021 Final Assisted Reproductive Technology (ART) Summary",
      "description": "Data were updated on September 11, 2024.\n\nART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment’s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient’s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/24w5-nppr",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ARTINFO",
          "hasEmail": "mailto:ARTINFO@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/rxfz-prji",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "services",
        "art",
        "assisted reproductive technology",
        "clinic",
        "fertility",
        "infertility",
        "success rates"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://data.cdc.gov/dataset/2021-Final-Assisted-Reproductive-Technology-ART-Su/24w5-nppr/revisions/0"
      },
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/24w5-nppr/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/24w5-nppr",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/24w5-nppr/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/24w5-nppr",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/24w5-nppr/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/24w5-nppr/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/24w5-nppr",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/24w5-nppr/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/24w5-nppr/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/24w5-nppr",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/24w5-nppr/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/24w5-nppr",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/24w5-nppr/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/24w5-nppr",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "2021 Final Assisted Reproductive Technology (ART) Summary - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/24w5-nppr",
        "description": "2021 Final Assisted Reproductive Technology (ART) Summary - Dataset Home",
        "issued": "2024-12-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/rxfz-prji",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/25m4-6qqq",
      "identifier": "https://data.cdc.gov/api/views/25m4-6qqq",
      "title": "NHIS Adult Summary Health Statistics",
      "description": "Interactive Summary Health Statistics for Adults provide annual estimates of selected health topics for adults aged 18 years and over based on final data from the National Health Interview Survey.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NHIS Adult Summary Health Statistics",
          "description": "Interactive Summary Health Statistics for Adults provide annual estimates of selected health topics for adults aged 18 years and over based on final data from the National Health Interview Survey. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/25m4-6qqq",
          "modified": "2025-08-01"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-08-01",
      "landingPage": {
        "@type": "Document",
        "title": "NHIS Adult Summary Health Statistics",
        "accessURL": "https://www.cdc.gov/nchs/nhis/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 5 - Chicago",
      "description": "Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/26a7-nc4u",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "cdc",
        "centers for disease control and prevention"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/26a7-nc4u/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/26a7-nc4u",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/26a7-nc4u/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/26a7-nc4u",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/26a7-nc4u/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/26a7-nc4u/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/26a7-nc4u",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/26a7-nc4u/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/26a7-nc4u/query.geojson?accessType=DOWNLOAD",
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 5 - Chicago - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/26a7-nc4u",
        "description": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 5 - Chicago - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
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            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
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    },
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      "title": "Prevalence of Selected Measures Among Adults Aged 20 and Over: United States, 1999-2000 through 2017-2018",
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      },
      "inventoried": "2026-09-27"
    },
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      "@type": "Dataset",
      "title": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 4 - Atlanta",
      "description": "Rate of deaths by age/sex (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.\n\nUpdated on April 28, 2025, to comply with the President’s Executive Order 14168.",
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        }
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        "@type": "Document",
        "title": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 4 - Atlanta - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/28km-nz6e",
        "description": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 4 - Atlanta - Dataset Home",
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      "inventoried": "2026-09-27"
    },
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      "@type": "Dataset",
      "title": "NNDSS - TABLE 1II. Tetanus to Trichinellosis",
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      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
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        "nedss",
        "toxic shock syndrome (other than streptococcal)",
        "tetanus",
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      ],
      "modified": "2026-09-08",
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          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1II. Tetanus to Trichinellosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2993-4v7d",
        "description": "NNDSS - TABLE 1II. Tetanus to Trichinellosis - Dataset Home",
        "issued": "2019-04-26",
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      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, Region 3 - Philadelphia",
      "description": "Rate of deaths by age/sex (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.\n\nUpdated on April 28, 2025, to comply with the President’s Executive Order 14168.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/29ew-qk7z",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
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        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "centers for disease control and prevention",
        "cdc"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/29ew-qk7z",
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, Region 3 - Philadelphia - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/29ew-qk7z",
        "description": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, Region 3 - Philadelphia - Dataset Home",
        "issued": "2016-10-18",
        "publisher": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "RSV-NET Rates and Clinical Data",
      "description": "This dataset includes hospitalization rates and selected clinical characteristics from RSV-NET for laboratory-confirmed RSV-associated hospitalizations. The data can be used to examine hospitalization burden, patient characteristics, clinical outcomes, and trends over time across RSV-NET surveillance sites.\nData are preliminary and subject to change as more data become available. Data will be updated weekly.",
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        "name": "CDC"
      },
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        "respiratory syncytial virus",
        "respiratory disease",
        "rates by race and ethnicity",
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        "hospitalizations",
        "hospitalization rate",
        "hospitalization",
        "age-adjusted rates by race and ethnicity",
        "age-adjusted rates",
        "surveillance",
        "rsv-net",
        "rsvnet",
        "rsv",
        "respiratory virus response"
      ],
      "modified": "2026-09-22",
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        {
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "RSV-NET Rates and Clinical Data - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/29hc-w46k",
        "description": "RSV-NET Rates and Clinical Data - Dataset Home",
        "issued": "2026-07-07",
        "publisher": [
          {
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            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "RSV-NET Sites"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:038"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue",
      "description": "NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Includes data for dengue and dengue-like illness.",
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      "identifier": "https://data.cdc.gov/api/views/29js-qshz",
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        "accessURL": "https://data.cdc.gov/d/29js-qshz",
        "description": "NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - Dataset Home",
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      "inventoried": "2026-09-27"
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    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity",
      "description": "NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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    {
      "@type": "Dataset",
      "title": "Cumulative Influenza Vaccination Coverage Differences by Race/Ethnicity, Children 6 months through 17 years, United States",
      "description": "Cumulative Influenza Vaccination Coverage Differences by Race/Ethnicity, Children 6 months through 17 years, United States Vaccinations \n\n• Influenza vaccination coverage among children is assessed through the National Immunization Survey-Flu (NIS-Flu) annually, providing weekly influenza vaccination coverage estimates for children 6 months–17 years based upon parental report. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)  \n\no NIS-Flu is a national random-digit-dialed cellular telephone survey of households conducted during the flu season (October-June).  \n\n• Final estimates for prior seasons and other flu vaccination data are available at CDC’s FluVaxView:  https://www.cdc.gov/flu/fluvaxview/index.htm.",
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      ],
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        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "flu",
        "flu shot",
        "influenza",
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      ],
      "modified": "2026-09-10",
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        "description": "Cumulative Influenza Vaccination Coverage Differences by Race/Ethnicity, Children 6 months through 17 years, United States - Dataset Home",
        "issued": "2023-12-01",
        "publisher": [
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      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
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      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
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      "programCode": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
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    {
      "@type": "Dataset",
      "title": "CDC STATE System Tobacco Legislation - Tax",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation-Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state taxes on combustible (cigarettes, cigars, little cigars, pipe tobacco, and roll-your-own tobacco) tobacco products, non-combustible (snus, moist snuff, dry snuff, chewing tobacco) tobacco products, and tax stamps.",
      "accessLevel": "public",
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      "contactPoint": [
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        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "osh",
        "policy",
        "state system",
        "legislation",
        "tobacco",
        "tax"
      ],
      "modified": "2026-09-22",
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        "downloadURL": "https://chronicdata.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Tax/2dwv-vfam"
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        "description": "CDC STATE System Tobacco Legislation - Tax - Dataset Home",
        "issued": "2023-07-14",
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            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
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      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
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      "programCode": [
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    },
    {
      "@type": "Dataset",
      "title": "NWSS Public SARS-CoV-2 Wastewater Metric Data",
      "description": "This dataset provides a complete time history of metrics calculated using SARS-CoV-2 concentrations in wastewater.     \n\nAs of September 12, 2025, this dataset is archived, and no new data will be added. Data will remain available for historical reference.  \nPlease view updated wastewater surveillance data for SARS-CoV-2 at https://data.cdc.gov/Public-Health-Surveillance/CDC-Wastewater-Data-for-SARS-CoV-2/j9g8-acpt/about_data",
      "accessLevel": "public",
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          "fn": "National Wastewater Surveillance System",
          "hasEmail": "mailto:nwss@cdc.gov"
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      ],
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        "@id": "https://data.cdc.gov/user/mt3r-qr2b",
        "@type": "Organization",
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      "keyword": [
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      "modified": "2026-09-23",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/2ew6-ywp6/export.csv?accessType=DOWNLOAD",
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      "landingPage": {
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        "title": "NWSS Public SARS-CoV-2 Wastewater Metric Data - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2ew6-ywp6",
        "description": "NWSS Public SARS-CoV-2 Wastewater Metric Data - Dataset Home",
        "issued": "2022-04-07",
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            "@type": "Organization",
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      "bureauCode": [
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      "programCode": [
        "009:028"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus",
      "description": "NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as \"viral hemorrhagic fevers'. NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/2i8i-dz8i",
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          "fn": "CDC INFO",
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        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
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        "viral hemorrhagic fevers",
        "nedss",
        "guanarito virus",
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        "crimean-congo hemorrhagic fever virus",
        "netss",
        "nndss",
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      ],
      "modified": "2026-09-10",
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          "modified": "2026-09-10",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/2i8i-dz8i/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2i8i-dz8i/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2i8i-dz8i",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/2i8i-dz8i/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2i8i-dz8i",
        "description": "NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus - Dataset Home",
        "issued": "2019-04-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Release of Crystalline Silica Nanoparticles During Engineered Stone Fabrication",
      "description": "Inhalation exposure to respirable crystalline silica (RCS) during fabrication of engineered stone-based kitchen countertops has been on the rise in recent years and has become a significant occupational health problem in the United States and globally. Little is known about the presence of nano-crystalline silica (NCS), i.e., particles below 100 nm. We present a methodology to quantify the crystalline silica content in the sub-100 nm size fraction of the aerosol released during engineered stone fabrication using X-ray diffraction (XRD) and Fourier transform Infrared (FT-IR) spectroscopy. Aerosol was generated in test chamber designed per EN 1093-3 and sampled using cascade impactors. XRD and FT-IR analysis showed the presence of both α-quartz (15 – 60 %) and cristobalite (10 – 50 %) polymorphs in all size fractions. With increasing particle size, the cristobalite content increased. 70 % of the total aerosol mass in the sub-100 nm fraction was found to be crystalline silica, qualitatively confirmed by electron diffraction and electron energy loss spectroscopy. Presence of other minerals was detected in all size fractions; no polymeric resin binder was detected in the sub-100 nm fraction. Although, the sub-100 nm fraction was about 1 % of the aerosol mass, it accounted for 4 – 24 % of the aerosol surface area based on total lung deposition. If the surface area is a more relevant exposure metric, the assessment of efficacy of current engineering control systems using mass as an exposure metric may not provide adequate protection.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/2juy-3evq",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD), National Institute for Occupational Safety and Health (NIOSH)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/2juy-3evq/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/2juy-3evq",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Release of Crystalline Silica Nanoparticles During Engineered Stone Fabrication - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2juy-3evq",
        "description": "Release of Crystalline Silica Nanoparticles During Engineered Stone Fabrication - Dataset Home",
        "issued": "2024-12-27",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Exposure to emissions generated by 3-dimensional printing with polycarbonate affects vascular morphology and expression of markers of oxidative stress and vascular dysfunction in cardiac tissue",
      "description": "Three-dimensional (3D) printing is increasingly being used in manufacturing settings, homes and schools.  Fused deposition modeling (FDM) 3D printers are the most widely used systems with standard thermoplastics such as acrylonitrile butadiene styrene (ABS), polylactic acid and polycarbonate (PC) commonly used in the manufacturing processes.  Heating of the thermoplastic generates and releases particulates and fumes.  Emission constituents frequently measured include aldehydes, benzene, toluene, ethylbenzene, and xylenes.  Inhalation of the emitted particulates and/or the fumes, that contain bisphenol A (BPA)  may pose health problems to users of these systems as well as bystanders.\n\nThe goal of the current study was to examine the effects of inhalation of PC-emissions generated during 3D-printing.  PC-emissions can include bisphenol A (BPA). Bisphenols are known endocrine and metabolic disruptors (i.e., they interfere with actions of steroid and thyroid hormones) and have been shown to have significant effects on a number of physiological systems including the endocrine and cardiovascular systems.  Because steroid hormones have major effects on cardiovascular function, it is possible that inhalation of PC particulate and/or BPA impact cardiovascular function.\n\nTo begin to understand how inhalation of PC-emissions generated during 3D printing might affect the cardiovascular system, the current study examined the effects of inhaling PC-emissions after 1, 4, 8, 15 and 30d of exposure, on peripheral vascular responses to vaso-modulating agents, on cardiac morphology and on the expression of proteins and transcripts that are markers of inflammation, oxidative stress and cardiovascular dysfunction.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/2kh7-g39q",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Physical Effects Research Branch (PERB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/2kh7-g39q/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/2kh7-g39q",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Exposure to emissions generated by 3-dimensional printing with polycarbonate affects vascular morphology and expression of markers of oxidative stress and vascular dysfunction in cardiac tissue - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2kh7-g39q",
        "description": "Exposure to emissions generated by 3-dimensional printing with polycarbonate affects vascular morphology and expression of markers of oxidative stress and vascular dysfunction in cardiac tissue - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome",
      "description": "NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome  - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/2khz-k7sv",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "2019",
        "nndss",
        "netss",
        "nedss",
        "rubella congenital syndrome",
        "wonder",
        "rubella"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2khz-k7sv/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2khz-k7sv",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2khz-k7sv/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2khz-k7sv",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/2khz-k7sv/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2khz-k7sv/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2khz-k7sv",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/2khz-k7sv/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2khz-k7sv",
        "description": "NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - Dataset Home",
        "issued": "2019-04-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Pathway to Practice (P2P) Resource Center",
      "description": "The P2P Resource Center is a one-stop, easy-to-navigate website that features tools and resources produced by CDC-funded PRC research projects. Community organizations and public health practitioners can tailor these resources to identify, replicate, and use key aspects of successful public health programs and inspire others to expand the uptake and use of evidence-based interventions. It also includes information on previous or current research from the PRC Network.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/2m7c-st88",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC Prevention Research Centers Contact",
          "hasEmail": "mailto:prcprogram@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cqav-tubx",
        "@type": "Organization",
        "name": "CDC UserTF"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2m7c-st88/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2m7c-st88",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2m7c-st88/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2m7c-st88",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/2m7c-st88/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2m7c-st88/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2m7c-st88",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/2m7c-st88/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Pathway to Practice (P2P) Resource Center - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2m7c-st88",
        "description": "Pathway to Practice (P2P) Resource Center - Dataset Home",
        "issued": "2024-11-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cqav-tubx",
            "@type": "Organization",
            "name": "CDC UserTF"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:029"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/2m93-xvra",
      "identifier": "https://data.cdc.gov/api/views/2m93-xvra",
      "title": "Health conditions among children under age 18, by selected characteristics: United States",
      "description": "NOTE: On October 19, 2021, estimates for 2016–2018 by health insurance status were revised to correct errors. Changes are highlighted and tagged at https://www.cdc.gov/nchs/data/hus/2019/012-508.pdf\n\nData on health conditions among children under age 18, by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time.\n\nSOURCE: NCHS, National Health Interview Survey, Family Core and Sample Child questionnaires.  For more information on the National Health Interview Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Health conditions among children under age 18, by selected characteristics: United States",
          "description": "NOTE: On October 19, 2021, estimates for 2016–2018 by health insurance status were revised to correct errors. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/2m93-xvra",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Health conditions among children under age 18, by selected characteristics: United States",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/2na8-fe6s",
      "identifier": "https://data.cdc.gov/api/views/2na8-fe6s",
      "title": "AH Provisional Cancer Death Counts by Month and Year, 2020-2021",
      "description": "Provisional death counts of malignant neoplasms (cancer) by month and year, and other selected demographics, for 2020-2021. Data are based on death certificates for U.S. residents.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Provisional Cancer Death Counts by Month and Year, 2020-2021",
          "description": "Provisional death counts of malignant neoplasms (cancer) by month and year, and other selected demographics, for 2020-2021. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/2na8-fe6s",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Provisional Cancer Death Counts by Month and Year, 2020-2021",
        "accessURL": "https://www.cdc.gov/nchs/nvss/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "dhds_dataset",
      "description": "This is a dataset manually created by Spiro Tsipianitis via data.cdc.gov",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/2nf2-f75n",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Spiro Tsipianitis",
          "hasEmail": "mailto:cgw0@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vqt9-tcsd",
        "@type": "Organization",
        "name": "Yours Forever Truly"
      },
      "keyword": [
        "united states"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2nf2-f75n/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2nf2-f75n",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2nf2-f75n/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2nf2-f75n",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/2nf2-f75n/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2nf2-f75n/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2nf2-f75n",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/2nf2-f75n/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "dhds_dataset - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2nf2-f75n",
        "description": "dhds_dataset - Dataset Home",
        "issued": "2023-12-12",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vqt9-tcsd",
            "@type": "Organization",
            "name": "Yours Forever Truly"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:022"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality",
      "description": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Please refer to the CDC WONDER publication for weekly updates to the footnote for this condition.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/2qxe-cmv4",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "influenza-associated pediatric mortality",
        "wonder",
        "nndss",
        "netss",
        "nedss",
        "2021",
        "hepatitis c",
        "perinatal infection"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2qxe-cmv4/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2qxe-cmv4",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2qxe-cmv4/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2qxe-cmv4",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/2qxe-cmv4/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2qxe-cmv4/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2qxe-cmv4",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/2qxe-cmv4/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2qxe-cmv4/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2qxe-cmv4",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2qxe-cmv4/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2qxe-cmv4",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2qxe-cmv4/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2qxe-cmv4",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2qxe-cmv4",
        "description": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Lung toxicity, deposition, and clearance of thermal spray coating particles with different metal profiles after inhalation in rats",
      "description": "Thermal spray coating is a process in which molten metal is sprayed onto a surface. Little is known about the health effects associated with these aerosols. Sprague-Dawley rats were exposed to aerosols (25 mg/m3 x 4 hr/d x 4 d) generated during thermal spray coating using different consumables [i.e., stainless-steel wire (PMET731), Ni-based wire (PMET885), Zn-based wire (PMET540)]. Control animals received air. Bronchoalveolar lavage was performed at 4 and 30 d post-exposure to assess lung toxicity. The particles were chain-like agglomerates and similar in size (310–378 nm). Inhalation of PMET885 aerosol caused a significant increase in lung injury and inflammation at both time points. Inhalation of PMET540 aerosol caused a slight but significant increase in lung toxicity at 4 but not 30 d. Exposure to PMET731 aerosol had no effect on lung toxicity. Overall, the lung responses were in the order: PMET885>>PMET540>PMT731. Following a shorter exposure (25 mg/m3 x 4 h/d x 1d), lung burdens of metals from the different aerosols were determined by ICP-AES at 0, 1, 4 and 30 d post-exposure. Zn was cleared from the lungs at the fastest rate with complete clearance by 4 d post-exposure. Ni, Cr, and Mn had similar rates of clearance as nearly half of the deposited metal was cleared by 4 d. A small but significant percentage of each of these metals persisted in the lungs at 30 d. The pulmonary clearance of Fe was difficult to assess because of inherently high levels of Fe in control lungs.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/2se8-zi9r",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Pathology and Physiology Research Branch (PPRB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/2se8-zi9r/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/2se8-zi9r",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Lung toxicity, deposition, and clearance of thermal spray coating particles with different metal profiles after inhalation in rats - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2se8-zi9r",
        "description": "Lung toxicity, deposition, and clearance of thermal spray coating particles with different metal profiles after inhalation in rats - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC STATE System Tobacco Legislation - Smokefree Indoor Air Summary",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in private worksites, restaurants, and bars.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/2snk-eav4",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "policy",
        "smokefree indoor air",
        "state system",
        "tobacco",
        "legislation",
        "osh"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Smokefree-Ind/2snk-eav4"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2snk-eav4/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2snk-eav4",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2snk-eav4/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2snk-eav4",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/2snk-eav4/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2snk-eav4/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2snk-eav4",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/2snk-eav4/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2snk-eav4/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2snk-eav4",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2snk-eav4/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2snk-eav4",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2snk-eav4/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2snk-eav4",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC STATE System Tobacco Legislation - Smokefree Indoor Air Summary - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2snk-eav4",
        "description": "CDC STATE System Tobacco Legislation - Smokefree Indoor Air Summary - Dataset Home",
        "issued": "2023-07-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Nowcast Predictions for Chikungunya Virus-Infected Travelers",
      "description": "Interactive visualization: http://www.cdc.gov/chikungunya/modeling/index.html. This dataset contains monthly predictions for the spread of chikungunya virus transmission. A full description of the methods is available at: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0104915.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/2sxq-n8zu",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/8dgr-8c6s",
        "@type": "Organization",
        "name": "Michael"
      },
      "keyword": [
        "chikungunya",
        "americas",
        "predictions",
        "travelers"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2sxq-n8zu/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2sxq-n8zu",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2sxq-n8zu/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2sxq-n8zu",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/2sxq-n8zu/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2sxq-n8zu/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2sxq-n8zu",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/2sxq-n8zu/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Nowcast Predictions for Chikungunya Virus-Infected Travelers - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2sxq-n8zu",
        "description": "Nowcast Predictions for Chikungunya Virus-Infected Travelers - Dataset Home",
        "issued": "2015-08-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/8dgr-8c6s",
            "@type": "Organization",
            "name": "Michael"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "National Health Interview Survey (NHIS) – Vision and Eye Health Surveillance",
      "description": "2016-17 merged, 2023. This dataset is a de-identified summary table of vision and eye health data indicators from NHIS, stratified by all available combinations of age group, race/ethnicity, sex, and risk factor. NHIS is an annual household survey conducted by the National Center for Health Statistics at CDC that monitors trends in illness, disabilities, and progress towards national health objectives. Approximate sample size is 35,000 households and 87,500 persons annually. NHIS data for VEHSS includes questions related to Visual Function. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Data will be updated as it becomes available. Detailed information on VEHSS NHIS analyses can be found on the VEHSS NHIS webpage (link). Additional information about NHIS can be found on the NHIS website (http://www.cdc.gov/nchs/nhis/about_nhis.htm). The VEHSS NHIS dataset was last updated in November 2019.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/2t2r-sf6s",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DDT Public Inquiries",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "visual function",
        "blind",
        "contact lenses",
        "glasses",
        "nhis",
        "vision correction"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Vision-Eye-Health/National-Health-Interview-Survey-NHIS-Vision-and-E/2t2r-sf6s"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2t2r-sf6s/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2t2r-sf6s",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2t2r-sf6s/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2t2r-sf6s",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/2t2r-sf6s/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2t2r-sf6s/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2t2r-sf6s",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/2t2r-sf6s/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2t2r-sf6s/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2t2r-sf6s",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2t2r-sf6s/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2t2r-sf6s",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2t2r-sf6s/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2t2r-sf6s",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Health Interview Survey (NHIS) – Vision and Eye Health Surveillance - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2t2r-sf6s",
        "description": "National Health Interview Survey (NHIS) – Vision and Eye Health Surveillance - Dataset Home",
        "issued": "2026-03-02",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Anthropometric Database for the EMTs in the United States",
      "description": "Deaths or serious injuries among emergency medical technicians (EMTs) and other ambulance occupants occur at a high rate during transport. According to a study by the National Institute for Occupational Safety and Health (NIOSH), EMTs and paramedics have higher fatality rates when compared to all workers, with forty-five percent of EMT deaths resulting from highway incidents, primarily due to vehicle collisions.1 Data from the National Highway and Traffic Safety Administration showed that among the persons killed in crashes involving an ambulance between 1992 and 2011, twenty one percent were EMTs and patients, while four percent were ambulance drivers.2 To reduce injury potential to the EMTs and other ambulance occupants, NIOSH, the Department of Homeland Security, the U.S. General Services Administration, and the National Institute of Standards and Technology, along with private industry partners, have committed to improving the workspace design of ambulance patient compartments for safe and effective perfo",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/2tj4-nah7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Division of Safety Research, Protective Technology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/2tj4-nah7/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/2tj4-nah7",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Anthropometric Database for the EMTs in the United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2tj4-nah7",
        "description": "Anthropometric Database for the EMTs in the United States - Dataset Home",
        "issued": "2024-11-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
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        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Influenza Vaccination Coverage, Adults 18 and Older, United States",
      "description": "Weekly Cumulative Influenza Vaccination Coverage, Adults 18 and Older, United States\n\n• Influenza vaccination coverage among adults is assessed through the National Immunization Survey-Adult COVID Module providing weekly influenza vaccination coverage estimates. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)\n• NIS-ACM was started in April 2021 to survey adults 18 years and older COVID-19 vaccination uptake and vaccine confidence. \n• Final estimates for prior seasons and other flu vaccination data are available at CDC’s FluVaxView: https://www.cdc.gov/flu/fluvaxview/index.htm.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/2v3t-r3np",
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        }
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      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
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      },
      "keyword": [
        "nis-acm",
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        "vaccine coverage",
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      ],
      "modified": "2026-09-10",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/2v3t-r3np/query.xml?accessType=DOWNLOAD",
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          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Influenza Vaccination Coverage, Adults 18 and Older, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2v3t-r3np",
        "description": "Weekly Cumulative Influenza Vaccination Coverage, Adults 18 and Older, United States - Dataset Home",
        "issued": "2023-11-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
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      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
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        "009:020"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Archive: COVID-19 Vaccination Demographic Trends by Report Date, National",
      "description": "This data dictionary provides information about archived demographic trend data for people receiving COVID-19 vaccinations in the United States at the national level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities. \n\nThese data have been archived to provide historical demographic trend data for COVID-19 vaccine recipients prior to CDC converting the Vaccination Demographic Trends site to using data based on the date of vaccine administration. Previously, the Vaccination Demographic Trends site presented trend data by the date the vaccination was reported to CDC.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/2vpi-n544",
      "contactPoint": [
        {
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          "fn": "NCIRD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/3suw-ciyu",
        "@type": "Organization",
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      },
      "keyword": [
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        "immunization",
        "covid-19",
        "coronavirus",
        "administration",
        "vaccination"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2vpi-n544/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2vpi-n544",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2vpi-n544/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2vpi-n544",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2vpi-n544/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2vpi-n544",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Archive: COVID-19 Vaccination Demographic Trends by Report Date, National - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2vpi-n544",
        "description": "Archive: COVID-19 Vaccination Demographic Trends by Report Date, National - Dataset Home",
        "issued": "2021-11-16",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/3suw-ciyu",
            "@type": "Organization",
            "name": "CDC"
          }
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      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
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      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection)",
      "description": "NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ In previous years, cases were reported as Salmonellosis. Beginning in January 2019, cases began to be reported as Salmonella Paratyphi infection.\n¶ In previous years, cases were reported as typhoid fever. Beginning in January 2019, cases began to be reported as Salmonella Typhi infection.\n** In previous years, cases were reported as Salmonellosis (excluding paratyphoid fever and typhoid fever). Beginning in January 2019, cases began to be reported as Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/2vtj-68zm",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "netss",
        "2021",
        "nedss",
        "nndss",
        "salmonella paratyphi infection",
        "salmonella typhi infection",
        "salmonellosis (excluding salmonella typhi infection and salmonella paratyphi infection)",
        "wonder"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/2vtj-68zm/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2vtj-68zm",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
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          "accessURL": "https://data.cdc.gov/d/2vtj-68zm",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/2vtj-68zm/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/2vtj-68zm/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2vtj-68zm",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2vtj-68zm/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2vtj-68zm",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2vtj-68zm/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2vtj-68zm",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2vtj-68zm/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2vtj-68zm",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2vtj-68zm",
        "description": "NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
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      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Monthly Cumulative Number and Percent of Adults 75 Years and Older Who Received 1+ RSV Vaccination Doses by Jurisdiction, United States",
      "description": "Monthly Cumulative Percent of Adults 75 Years and Older Who Received 1+ RSV Vaccination Doses by Jurisdiction, United States.  \n\nRespiratory Syncytial Virus (RSV) vaccination coverage for adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group. \n\nMonthly estimates shown are cumulative, reflecting all persons aged 75 years and older who received at least one dose of an RSV vaccine from June 21, 2023, through the end of the reporting month.*,† Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/2yum-eg9f",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/ktzw-xbup",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "vsd",
        "rsv vaccination",
        "nis-acm",
        "iqvia",
        "iis"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/2yum-eg9f/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2yum-eg9f",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/2yum-eg9f/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2yum-eg9f",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/api/views/2yum-eg9f/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/2yum-eg9f/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/2yum-eg9f",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/2yum-eg9f/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Monthly Cumulative Number and Percent of Adults 75 Years and Older Who Received 1+ RSV Vaccination Doses by Jurisdiction, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/2yum-eg9f",
        "description": "Monthly Cumulative Number and Percent of Adults 75 Years and Older Who Received 1+ RSV Vaccination Doses by Jurisdiction, United States - Dataset Home",
        "issued": "2025-11-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/ktzw-xbup",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC STATE System Tobacco Legislation - Smokefree Indoor Air",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/32fd-hyzc",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "smokefree indoor air",
        "policy",
        "osh",
        "tobacco",
        "legislation",
        "state system"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Smokefree-Ind/32fd-hyzc"
      },
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/32fd-hyzc/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/32fd-hyzc",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/32fd-hyzc/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/32fd-hyzc",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/32fd-hyzc/columns.json",
            "title": "Columns for this asset"
          }
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          "downloadURL": "https://data.cdc.gov/api/v3/views/32fd-hyzc/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/32fd-hyzc",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
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          "downloadURL": "https://data.cdc.gov/api/v3/views/32fd-hyzc/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/32fd-hyzc",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/32fd-hyzc/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/32fd-hyzc",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/32fd-hyzc/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/32fd-hyzc",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC STATE System Tobacco Legislation - Smokefree Indoor Air - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/32fd-hyzc",
        "description": "CDC STATE System Tobacco Legislation - Smokefree Indoor Air - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Testing the shock protection performance of Type I construction helmets using impactors of different masses",
      "description": "Top impacts are considered essential tests to evaluate the shock absorption performance of commonly used type I industrial helmets. Currently, there are two major test standards that are widely applied in helmet industry: ANSI/ISEA Z89.1 and EN397.  Since drop impacts are performed using different impactors and at drop heights, results obtained using different test standards are not directly comparable. The purpose of the current study is to evaluate and compare the helmet impact test results obtained using these two frequently used helmet test standards. A representative basic Type I construction helmet model was selected for the study. A total of 19 drop impact tests were performed at different drop heights and with two different impactors (3.6 kg and 5.0 kg). Group (a) contains 10 drop impacts performed using the 3.6 kg  impactor at drop heights from 0.31 m to 1.93 m. Group (b) contains 9 drop impacts performed using the 5.0 kg impactor at drop heights from 0.22 m to 1.32 m. Each of the impact trials was replicated four times. Relationships between the peak impact force and the drop height for these two test groups were analyzed and compared. When the helmets were tested with potential impact energy smaller than critical values, a consistent trend for the relationship of peak impact force as a function of the potential impact energy was obtained. Our results show that our previously proposed quantitative evaluation approach for industrial helmets’ shock absorption performance can be used with either the ANSI/ISEA Z89.1 or EN395 standard to quantify industrial helmets’ shock absorption performance. Furthermore, our results illustrated that the peak impact force would not be a reliable parameter to evaluate the helmets’ safety margin.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/338g-fx72",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Protective Technology Branch (PTB), Division of Safety Research (DSR)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/338g-fx72/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/338g-fx72",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Testing the shock protection performance of Type I construction helmets using impactors of different masses - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/338g-fx72",
        "description": "Testing the shock protection performance of Type I construction helmets using impactors of different masses - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Legionellosis to Malaria",
      "description": "NNDSS - Table II. Legionellosis to Malaria - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/33kn-dpz2",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "2017",
        "nedss",
        "netss",
        "legionellosis",
        "wonder",
        "malaria",
        "nndss",
        "mmwr"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/33kn-dpz2/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/33kn-dpz2",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/33kn-dpz2/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/33kn-dpz2",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/33kn-dpz2/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/33kn-dpz2/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/33kn-dpz2",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/33kn-dpz2/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Legionellosis to Malaria - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/33kn-dpz2",
        "description": "NNDSS - Table II. Legionellosis to Malaria - Dataset Home",
        "issued": "2018-01-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2010 (Part 2 of 7)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 3 of 48 and corresponds to the time range between March 15, 2010, and September 27, 2010.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/33xj-tdcv",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/33xj-tdcv/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/33xj-tdcv",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2010 (Part 2 of 7) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/33xj-tdcv",
        "description": "Elk Creek Seismic Waveforms 2010 (Part 2 of 7) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "HAICViz - Candidemia",
      "description": "<p>The healthcare-associated infection component of CDC’s <a href=\"https://www.cdc.gov/ncezid/dpei/eip/index.html\" target=\"_blank\">EIP</a> engages a <a href=\"https://www.cdc.gov/ncezid/dpei/eip/eip-sites.html\" target=\"_blank\">network</a> of state health departments and their academic medical center partners to help answer critical questions about emerging HAI threats, advanced infection tracking methods, and antibiotic resistance in the United States. Information gathered through this activity will play a key role in shaping future policies and recommendations targeting HAI prevention. </p>",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/34p9-h4us",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/e84a-f9j2",
        "@type": "Organization",
        "name": "MMLyman"
      },
      "keyword": [
        "haicviz"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/34p9-h4us/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/34p9-h4us",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/34p9-h4us/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/34p9-h4us",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/34p9-h4us/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/34p9-h4us/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/34p9-h4us",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/34p9-h4us/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "HAICViz - Candidemia - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/34p9-h4us",
        "description": "HAICViz - Candidemia - Dataset Home",
        "issued": "2021-06-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/e84a-f9j2",
            "@type": "Organization",
            "name": "MMLyman"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/367e-pucc",
      "identifier": "https://data.cdc.gov/api/views/367e-pucc",
      "title": "Preliminary Estimates of Visits to Health Centers in the United States, January 2022-December 2025",
      "description": "The National Ambulatory Medical Care Survey (NAMCS) Health Center Component, conducted by the National Center for Health Statistics (NCHS), collects annual data on visits to health centers to describe patterns of utilization and provision of ambulatory care delivery in the United States. Data are collected from federally qualified health centers (FQHCs) and FQHC look-alikes from all 50 U.S. states and the District of Columbia and are used to develop nationally representative estimates.\nThe data include preliminary, biannual counts and rates of health center visits from January 2022-December 2025 by medical diagnosis chapters, maternal and reproductive health-related diagnoses, mental health disorders, and respiratory conditions, stratified by selected patient characteristics. Estimates are split into biannual time periods (January to June, and July to December) and are considered preliminary, meaning they may differ from final estimates.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Preliminary Estimates of Visits to Health Centers in the United States, January 2022-December 2025",
          "description": "The National Ambulatory Medical Care Survey (NAMCS) Health Center Component, conducted by the National Center for Health Statistics (NCHS), collects annual data on visits to health centers to describe patterns of utilization and provision of ambulatory care delivery in the United States. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/367e-pucc",
          "modified": "2026-06-30"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-06-30",
      "landingPage": {
        "@type": "Document",
        "title": "Preliminary Estimates of Visits to Health Centers in the United States, January 2022-December 2025",
        "accessURL": "https://www.cdc.gov/nchs/dhcs/prelim-hc-visits/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/36ue-xht5",
      "identifier": "https://data.cdc.gov/api/views/36ue-xht5",
      "title": "DQS NHANES Select Oral Health Prevalence Estimates",
      "description": "These data represent prevalence estimates of select oral health topics from the National Health and Nutrition Examination Survey (NHANES).\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:dqs@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS NHANES Select Oral Health Prevalence Estimates",
          "description": "These data represent prevalence estimates of select oral health topics from the National Health and Nutrition Examination Survey (NHANES). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/36ue-xht5",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS NHANES Select Oral Health Prevalence Estimates",
        "accessURL": "https://www.cdc.gov/nchs/nhanes/visualization/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, Census Tract Data 2021 release",
      "description": "This dataset contains model-based census tract-level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015–019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/373s-ayzu",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "places",
        "prevention",
        "risk",
        "status",
        "census tract",
        "brfss",
        "outcomes",
        "health",
        "behaviors",
        "prevalence"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-Census-Tract-D/cwsq-ngmh"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/373s-ayzu/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/373s-ayzu",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/373s-ayzu/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/373s-ayzu",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/373s-ayzu/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/373s-ayzu/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/373s-ayzu",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/373s-ayzu/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/373s-ayzu/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/373s-ayzu",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/373s-ayzu/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/373s-ayzu",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/373s-ayzu/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/373s-ayzu",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Local Data for Better Health, Census Tract Data 2021 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/373s-ayzu",
        "description": "PLACES: Local Data for Better Health, Census Tract Data 2021 release - Dataset Home",
        "issued": "2022-10-11",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Systemic toxicity induced by topical application of heptafluorobutyric acid (PFBA) in a murine model",
      "description": "Heptafluorobutyric acid (PFBA) is a synthetic chemical belonging to the per- and polyfluoroalkyl substances (PFAS) group that includes over 5,000 chemicals.  PFBA is a short-chain PFAS (C4) that has been labeled as a safer alternative to the legacy PFAS perfluorooctanoic acid (PFOA) and perfluorooctane sulfate (PFOS) which have been linked to numerous health effects.  This class of chemicals are incorporated into consumer products such as stain resistant carpeting and textiles, nanosprays, medical devices, and fire-fighting foams.  There is a high potential for occupational exposure and in the environment, PFBA has been detected in a variety of water sources leading to concerns for dermal exposure, however, these studies are lacking.  In previous studies from our lab, PFOA was demonstrated to be absorbed via the skin and immunomodulatory.  In the present study, the systemic toxicity of a 28-day dermal PFBA (3.75-15% w/v, or 93.8-375 mg/kg/dose) exposure was evaluated in a murine model.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/37ui-3igt",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Allergy and Clinical Immunology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
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      "description": "<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.\n\nThis dataset represents daily COVID-19 hospitalization data and metrics aggregated to national, state/territory, and regional levels. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.\n\n<b>Reporting information:</b><ul><li>As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS).</li><li>While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.</li><li>Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.</li><li>Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files.</li><li>Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf</li></ul>\n\n<b>Metric details:</b><ul><li><b>Time Period:</b> timeseries data will update weekly on Mondays as soon as they are reviewed and verified, usually before 8 pm ET. Updates will occur the following day when reporting coincides with a federal holiday. Note: Weekly updates might be delayed due to delays in reporting. All data are provisional. Because these provisional counts are subject to change, including updates to data reported previously, adjustments can occur. Data may be updated since original publication due to delays in reporting (to account for data received after a given Thursday publication) or data quality corrections.</li><li><b>New COVID-19 Hospital Admissions (count):</b> Number of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.</li><li><b>New COVID-19 Hospital Admissions (7-Day Average):</b> 7-day average of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.</li><li><b>Cumulative COVID-19 Hospital Admissions:</b> Cumulative total number of admissions of patients with laborat",
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        "title": "Monthly Cumulative Number and Percent of Persons Who Received 1+ COVID-19 Vaccination Doses, by Season, Age Group, and Jurisdiction, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3bmy-cyyd",
        "description": "Monthly Cumulative Number and Percent of Persons Who Received 1+ COVID-19 Vaccination Doses, by Season, Age Group, and Jurisdiction, United States - Dataset Home",
        "issued": "2025-01-29",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2011 (Part 1 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 9 of 48 and corresponds to the time range between January 3, 2011, and January 10, 2011.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3cfg-ckag",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/3cfg-ckag/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/3cfg-ckag",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 1 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3cfg-ckag",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 1 of 19) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Cancer Research Citation Search",
      "description": "This database of cancer-related citations for publications authored by CDC’s Division of Cancer Prevention and Control (DCPC) staff, fosters collaboration among scientists throughout the world. Allows for searching for links to scientific articles authored or co-authored by researchers from DCPC since 2000.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3crz-97tw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DCPC Communications (CDC)",
          "hasEmail": "mailto:dcpccommunications@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cqav-tubx",
        "@type": "Organization",
        "name": "CDC UserTF"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3crz-97tw/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3crz-97tw",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3crz-97tw/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3crz-97tw",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/3crz-97tw/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3crz-97tw/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3crz-97tw",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/3crz-97tw/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Cancer Research Citation Search - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3crz-97tw",
        "description": "Cancer Research Citation Search - Dataset Home",
        "issued": "2024-09-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cqav-tubx",
            "@type": "Organization",
            "name": "CDC UserTF"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:029"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/3em4-f5qt",
      "identifier": "https://data.cdc.gov/api/views/3em4-f5qt",
      "title": "Data2010",
      "description": "An interactive database of historical data from Healthy People 2010, the 3rd iteration of the Healthy People initiative. These data were archived and will not be updated.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Data2010",
          "description": "An interactive database of historical data from Healthy People 2010, the 3rd iteration of the Healthy People initiative. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/3em4-f5qt",
          "modified": "2025-09-19"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-09-19",
      "landingPage": {
        "@type": "Document",
        "title": "Data2010",
        "accessURL": "https://data.cdc.gov/d/3em4-f5qt"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 12 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 39 of 48 and corresponds to the time range between October 1, 2012, and October 8, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3fqr-d2gq",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/3fqr-d2gq/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/3fqr-d2gq",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 12 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3fqr-d2gq",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 12 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Evaluation of A Passive Back-Support Exoskeleton in Bed-to-Chair Patient Handling Tasks",
      "description": "The objective of this study was to evaluate the effect of a passive back-support exoskeleton on the physical demands of caregivers during bed-to-chair patient handling tasks. Eight participants (5 males and 3 females) performed 4 different patient handling tasks, including 1) lying to sitting, 2) sitting to standing, 3) standing to sitting, and 4) bed to wheelchair transfer with and without the exoskeleton. In certain bed-to-chair patient handling tasks, the exoskeleton (Laevo V2.5) was found to significantly reduce the peak and median values of the hip flexion angles and muscle activities of erector spinae compared to no exoskeleton. The effect of the exoskeleton was task-dependent. The exoskeleton caused a greater reduction of the erector spinae muscle activities of symmetric exertions than the asymmetric exertions. With the exoskeleton, participants adjusted their patient handling strategies by decreasing the hip flexion but increasing the trunk extension. There was a lack of significant changes in the heart rate with the exoskeleton.  The results suggest that back-support exoskeletons could play a role in reducing the muscular demand of the low back during certain bed-to-chair patient handling tasks. However, further research would be needed to fully assess its effectiveness and practicality in improving patient-handling techniques.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3g9b-sxea",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Physical Effects Research Branch, Health Effects Laboratory Division National Institute for Occupational Safety and Health (NIOSH)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/3g9b-sxea/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/3g9b-sxea",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Evaluation of A Passive Back-Support Exoskeleton in Bed-to-Chair Patient Handling Tasks - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3g9b-sxea",
        "description": "Evaluation of A Passive Back-Support Exoskeleton in Bed-to-Chair Patient Handling Tasks - Dataset Home",
        "issued": "2025-02-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Circular RNA hsa_circ_0008726 Targets the hsa-miR-206-3p/KLF4 Axis to Modulate 4,4’-Methylene Diphenyl Diisocyanate-Glutathione Conjugate-Induced Chemokine Transcription in Macrophages",
      "description": "Occupational exposure to 4,4’-methylene diphenyl diisocyanate (MDI), the most widely used monomeric diisocyanate (dNCO), is associated with occupational asthma (OA) development. Recruitment of immune cells to the lung microenvironment via secreted chemokines by alveolar macrophages may plays important roles during asthma pathogenesis. Our prior studies identified MDI/MDI-GSH-exposure downregulates endogenous human/murine(hsa/mmu)-microRNA(miR)-206-3p, resulting in the activation of mmu/hsa-miR-206-3p-regulated signaling including KLF4-mediated signaling in MØs. The hsa-miR-206-3p-regulated signaling activation leading to induction of chemokines and chemotaxis activities of immune cells. However, the underlying molecular mechanism(s) by which MDI/ MDI in the form of MDI-GSH conjugate exposure downregulated endogenous hsa-miR-206-3p expression is unclear. Circular RNAs (circRNAs) play important roles in many different biological processes by targeting endogenous miRs, affecting protein translation and gene transcription in different cell types. The circRNA expression can be regulated via outside stimuli exposures; however, whether MDI-exposure influence circRNAs expression is unknown. Several circRNAs have been identified to regulate hsa-miR-206-3p levels through miR binding/targeting. We hypothesize that MDI-exposure induces endogenous circRNA(s) to regulate hsa-miR-206-3p in MØs. The first aim of this study was to identified candidate hsa-miR-206-3p-binding circRNA(s) that can be regulated by MDI/MDI-GSH regulated. The second aim of this study was to examine whether MDI/MDI-GSH regulated hsa-miR-206-3p-binding circRNA(s) can indeed regulate the endogenous hsa-miR-206-3p in MØs. After identified the roles of endogenous circRNA(s) in regulation of endogenous hsa-miR-206-3p after MDI/MDI-GSH-exposure, we investigated the roles of circRNAs in regulation of hsa-miR-206-3p-mediated M2 macrophage-associated markers and chemokines’ expressions in relation to the exposure to MDI.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3h4m-i8xf",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Allergy and Clinical Immunology Branch (ACIB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/3h4m-i8xf/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/3h4m-i8xf",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Circular RNA hsa_circ_0008726 Targets the hsa-miR-206-3p/KLF4 Axis to Modulate 4,4’-Methylene Diphenyl Diisocyanate-Glutathione Conjugate-Induced Chemokine Transcription in Macrophages - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3h4m-i8xf",
        "description": "Circular RNA hsa_circ_0008726 Targets the hsa-miR-206-3p/KLF4 Axis to Modulate 4,4’-Methylene Diphenyl Diisocyanate-Glutathione Conjugate-Induced Chemokine Transcription in Macrophages - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/3h58-x6cd",
      "identifier": "https://data.cdc.gov/api/views/3h58-x6cd",
      "title": "NCHS - Teen Birth Rates for Age Group 15-19 in the United States by County",
      "description": "This data set contains estimated teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) by county and year.\n\nDEFINITIONS\n\nEstimated teen birth rate: Model-based estimates of teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) for a specific county and year. Estimated county teen birth rates were obtained using the methods described elsewhere (1,2,3,4). These annual county-level teen birth estimates “borrow strength” across counties and years to generate accurate estimates where data are sparse due to small population size (1,2,3,4). The inferential method uses information—including the estimated teen birth rates from neighboring counties across years and the associated explanatory variables—to provide a stable estimate of the county teen birth rate.\nMedian teen birth rate: The middle value of the estimated teen birth rates for the age group 15–19 for counties in a state.\nBayesian credible intervals: A range of values within which there is a 95% probability that the actual teen birth rate will fall, based on the observed teen births data and the model.\n\nNOTES\n\nData on the number of live births for women aged 15–19 years were extracted from the National Center for Health Statistics’ (NCHS) National Vital Statistics System birth data files for 2003–2015 (5).\n\nPopulation estimates were extracted from the files containing intercensal and postcensal bridged-race population estimates provided by NCHS. For each year, the July population estimates were used, with the exception of the year of the decennial census, 2010, for which the April estimates were used.\n\nHierarchical Bayesian space–time models were used to generate hierarchical Bayesian estimates of county teen birth rates for each year during 2003–2015 (1,2,3,4).\n\nThe Bayesian analogue of the frequentist confidence interval is defined as the Bayesian credible interval. A 100*(1-α)% Bayesian credible interval for an unknown parameter vector θ and observed data vector y is a subset C of parameter space Ф such that\n1-α≤P({C│y})=∫p{θ │y}dθ,\nwhere integration is performed over the set  and is replaced by summation for discrete components of θ.  The probability that θ lies in C given the observed data y is at least (1- α) (6).\n\nCounty borders in Alaska changed, and new counties were formed and others were merged, during 2003–2015. These changes were reflected in the population files but not in the natality files. For this reason, two counties in Alaska were collapsed so that the birth and population counts were comparable. Additionally, Kalawao County, a remote island county in Hawaii, recorded no births, and census estimates indicated a denominator of 0 (i.e., no females between the ages of 15 and 19 years residing in the county from 2003 through 2015). For this reason, Kalawao County was removed from the analysis. Also , Bedford City, Virginia, was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. For consistency, Bedford City was merged with Bedford County, Virginia, for the entire 2003–2015 period. Final analysis was conducted on 3,137 counties for each year from 2003 through 2015. County boundaries are consistent with the vintage 2005–2007 bridged-race population file geographies (7).",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:births@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Teen Birth Rates for Age Group 15-19 in the United States by County",
          "description": "This data set contains estimated teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) by county and year. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/3h58-x6cd",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Teen Birth Rates for Age Group 15-19 in the United States by County",
        "accessURL": "https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC PRAMStat Data for 2000",
      "description": "2000. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3hwj-hqmh",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DRH Public Inquiries",
          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/uj8q-r4hw",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "obesity",
        "morbidity",
        "mental health",
        "medicaid",
        "contraception",
        "wic",
        "sleep behavior",
        "reproductive health",
        "preconception health",
        "pregnancy history",
        "abuse",
        "alcohol use",
        "breastfeeding",
        "prenatal care",
        "unintended pregnancy",
        "tobacco use",
        "stress",
        "smoke exposure",
        "infant health"
      ],
      "modified": "2026-09-23",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2000/3hwj-hqmh"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3hwj-hqmh/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3hwj-hqmh",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3hwj-hqmh/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3hwj-hqmh",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/3hwj-hqmh/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3hwj-hqmh/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3hwj-hqmh",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3hwj-hqmh/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3hwj-hqmh",
          "mediaType": "application/geo+json",
          "modified": "2026-09-23"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3hwj-hqmh/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3hwj-hqmh",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-23"
        },
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          "accessURL": "https://data.cdc.gov/d/3hwj-hqmh",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC PRAMStat Data for 2000 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3hwj-hqmh",
        "description": "CDC PRAMStat Data for 2000 - Dataset Home",
        "issued": "2023-07-19",
        "publisher": [
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
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        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "The ETS domain-containing hematopoietic transcription factor PU.1 mediates the induction of arachidonate 5-lipoxygenase by multi-walled carbon nanotubes in macrophages in vitro",
      "description": "Fibrogenic multi-walled carbon nanotubes (MWCNTs) polarize macrophages to M1 cells with elevated production of proinflammatory lipid mediators (LMs) to boost acute inflammation. Here we examined the mechanism by which MWCNTs (Mitsui-7) induce arachidonate 5-lypoxygenase (Alox5) critical for production of chemotactic LM leukotriene B4 (LTB4) in murine and human macrophages.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3ix4-m2h6",
      "contactPoint": [
        {
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          "fn": "TMBB/HELD/NIOSH",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/3ix4-m2h6/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/3ix4-m2h6",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The ETS domain-containing hematopoietic transcription factor PU.1 mediates the induction of arachidonate 5-lipoxygenase by multi-walled carbon nanotubes in macrophages in vitro - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3ix4-m2h6",
        "description": "The ETS domain-containing hematopoietic transcription factor PU.1 mediates the induction of arachidonate 5-lipoxygenase by multi-walled carbon nanotubes in macrophages in vitro - Dataset Home",
        "issued": "2025-02-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/3j26-kg6d",
      "identifier": "https://data.cdc.gov/api/views/3j26-kg6d",
      "title": "Long-term Care and COVID-19",
      "description": "The NCHS National Post-acute and Long-term Care Study (NPALS) collects data on long-term care every two years for all 50 states and the District of Columbia to monitor the diverse post-acute and long-term care fields. The 2020 survey provided an opportunity to collect COVID-19-related data for residential care communities and adult day services centers, important long-term care settings. These data are not available from other data systems. These data are related to experiences of COVID-19 from January 2020 through mid-July 2021, including the number of COVID-19 cases, hospitalizations, and deaths among users and staff, practices taken to reduce COVID-19 exposure and transmission, and personal protective equipment (PPE) shortages.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Long-term Care and COVID-19",
          "description": "The NCHS National Post-acute and Long-term Care Study (NPALS) collects data on long-term care every two years for all 50 states and the District of Columbia to monitor the diverse post-acute and long-term care fields. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/3j26-kg6d",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Long-term Care and COVID-19",
        "accessURL": "https://www.cdc.gov/nchs/covid19/npals.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE) Glossary and Methodology",
      "description": "Download the latest version of the Glossary and Methodology File",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3kjq-j5dm",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "sae",
        "methodology",
        "glossary",
        "sammec"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/3kjq-j5dm/application/vnd.ms-excel",
          "accessURL": "https://data.cdc.gov/d/3kjq-j5dm",
          "mediaType": "application/vnd.ms-excel",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE) Glossary and Methodology - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3kjq-j5dm",
        "description": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE) Glossary and Methodology - Dataset Home",
        "issued": "2015-06-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
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            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State-Level Restrictions on Vaccine Mandates – All",
      "description": ": This dataset contains all vaccine mandate prohibitions that were issued as of ____, by 50 states, 5 territories, and the District of Columbia regardless of whether the law has been superseded by a subsequent law, postponed by subsequent law, or otherwise modified. State and territorial laws are collected from publicly available government websites and cataloged and coded in HHS Protect by one coder with one or more additional coders conducting quality assurance. \nData were collected to determine when certain groups were prohibited from issuing vaccine mandates and to what groups those prohibitions applied. Data can be used to determine when states announced and began prohibiting for different groups from being required to be vaccinated. \nThese data are derived from publicly available state and territorial laws and official policy documents found by the CDC, COVID-19 Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 1, 2020 through _____. These data will be updated as new laws are collected. Any orders not available through publicly accessible websites are not included in this dataset. Recommendations not included in a law are not included in these data. Effective and expiration dates were coded using only the date provided in the law. These data do not necessarily represent the official position of the Centers for Disease Control and Prevention.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3m2r-fh4s",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Mara Howard-Williams",
          "hasEmail": "mailto:prw0@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/qwcg-irwv",
        "@type": "Organization",
        "name": "T.J. Pierce"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3m2r-fh4s/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3m2r-fh4s",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3m2r-fh4s/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3m2r-fh4s",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/3m2r-fh4s/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3m2r-fh4s/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3m2r-fh4s",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/3m2r-fh4s/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State-Level Restrictions on Vaccine Mandates – All - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3m2r-fh4s",
        "description": "State-Level Restrictions on Vaccine Mandates – All - Dataset Home",
        "issued": "2022-03-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/qwcg-irwv",
            "@type": "Organization",
            "name": "T.J. Pierce"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Cumulative Influenza Vaccination Coverage by Race/Ethnicity and Age Group, NIS-ACM",
      "description": "Cumulative Influenza Vaccination Coverage Age Group, Race/Ethnicity, and Jurisdiction, Adults 18 Years and Older, United States, National Immunization Survey Adult COVID Module.\n\nArchived data are available including for Figures 4B and 4C:  https://data.cdc.gov/resource/8dyx-9z99 \n\n•  The National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3myw-4j4q",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "coverage",
        "adults",
        "vaccination",
        "influenza",
        "flu vaccination",
        "vaccine coverage"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3myw-4j4q/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3myw-4j4q",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3myw-4j4q/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3myw-4j4q",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/3myw-4j4q/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3myw-4j4q/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3myw-4j4q",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/3myw-4j4q/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Cumulative Influenza Vaccination Coverage by Race/Ethnicity and Age Group, NIS-ACM - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3myw-4j4q",
        "description": "Cumulative Influenza Vaccination Coverage by Race/Ethnicity and Age Group, NIS-ACM - Dataset Home",
        "issued": "2023-03-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States, District of Columbia, US Virgin Islands, and Puerto Rico"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1PP. Viral hemorrhagic fevers, Sabia virus to Zika virus disease, non-congenital",
      "description": "NNDSS - TABLE 1PP. Viral hemorrhagic fevers, Sabia virus to Zika virus disease, non-congenital – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3nij-2pw6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "yellow fever",
        "2022",
        "nedss",
        "netss",
        "zika virus disease",
        "wonder",
        "viral hemorrhagic fevers",
        "sabia virus",
        "non-congenital",
        "nndss"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3nij-2pw6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3nij-2pw6",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3nij-2pw6/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3nij-2pw6",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/3nij-2pw6/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3nij-2pw6/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3nij-2pw6",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/3nij-2pw6/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3nij-2pw6/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3nij-2pw6",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3nij-2pw6/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3nij-2pw6",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3nij-2pw6/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3nij-2pw6",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1PP. Viral hemorrhagic fevers, Sabia virus to Zika virus disease, non-congenital - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3nij-2pw6",
        "description": "NNDSS - TABLE 1PP. Viral hemorrhagic fevers, Sabia virus to Zika virus disease, non-congenital - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "United States COVID-19 Community Levels by County",
      "description": "Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.\n\nThis archived public use dataset has 11 data elements reflecting United States COVID-19 community levels for all available counties. \n\nThe COVID-19 community levels were developed using a combination of three metrics — new COVID-19 admissions per 100,000 population in the past 7 days, the percent of staffed inpatient beds occupied by COVID-19 patients, and total new COVID-19 cases per 100,000 population in the past 7 days. The COVID-19 community level was determined by the higher of the new admissions and inpatient beds metrics, based on the current level of new cases per 100,000 population in the past 7 days. New COVID-19 admissions and the percent of staffed inpatient beds occupied represent the current potential for strain on the health system. Data on new cases acts as an early warning indicator of potential increases in health system strain in the event of a COVID-19 surge.\n\nUsing these data, the COVID-19 community level was classified as low, medium, or high.\n\nCOVID-19 Community Levels were used to help communities and individuals make decisions based on their local context and their unique needs. Community vaccination coverage and other local information, like early alerts from surveillance, such as through wastewater or the number of emergency department visits for COVID-19, when available, can also inform decision making for health officials and individuals.\n\nFor the most accurate and up-to-date data for any county or state, visit the relevant health department website. COVID Data Tracker may display data that differ from state and local websites. This can be due to differences in how data were collected, how metrics were calculated, or the timing of web updates.\n\n<b>Archived Data Notes:</b>\n\nThis dataset was renamed from \"United States COVID-19 Community Levels by County as Originally Posted\" to \"United States COVID-19 Community Levels by County\" on March 31, 2022. \n\n<b>March 31, 2022:</b> Column name for county population was changed to “county_population”. No change was made to the data points previous released.\n\n<b>March 31, 2022:</b> New column, “health_service_area_population”, was added to the dataset to denote the total population in the designated Health Service Area based on 2019 Census estimate. \n\n<b>March 31, 2022:</b> FIPS codes for territories American Samoa, Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands were re-formatted to 5-digit numeric for records released on 3/3/2022 to be consistent with other records in the dataset.\n\n<b>March 31, 2022:</b> Changes were made to the text fields in variables “county”, “state”, and “health_service_area” so the formats are consistent across releases.\n\n<b>March 31, 2022:</b> The “%” sign was removed from the text field in column “covid_inpatient_bed_utilization”. No change was made to the data. As indicated in the column description, values in this column represent the percentage of staffed inpatient beds occupied by COVID-19 patients (7-day average).  \n\n<b>March 31, 2022:</b> Data values for columns, “county_population”, “health_service_area_number”, and “health_service_area” were backfilled for records released on 2/24/2022. These columns were added since the week of 3/3/2022, thus the values were previously missing for records released the week prior.\n\n<b>April 7, 2022:</b> Updates made to data released on 3/24/2022 for Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands to correct a data mapping error.\n\n<b>April 21, 2022:</b> COVID-19 Community Level (CCL) data released for counties in Nebraska for the week of April 21, 2022 have 3 counties identified in the high category and 37 in the medium category. CDC has been working with state officials t",
      "accessLevel": "public",
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        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
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        "name": "CDC"
      },
      "keyword": [
        "cases",
        "united states",
        "ncird-corvd",
        "hospital",
        "covid-19",
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        "coronavirus",
        "community levels"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
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          "modified": "2026-09-22"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/3nnm-4jni/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3nnm-4jni",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/3nnm-4jni/query.xml?accessType=DOWNLOAD",
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          "mediaType": "application/xml",
          "modified": "2026-09-22",
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          }
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      ],
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        "@type": "Document",
        "title": "United States COVID-19 Community Levels by County - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3nnm-4jni",
        "description": "United States COVID-19 Community Levels by County - Dataset Home",
        "issued": "2022-08-11",
        "publisher": [
          {
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            "@type": "Organization",
            "name": "CDC"
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        ]
      },
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      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "@id": "https://data.cdc.gov/api/views/3nzu-udr9",
      "identifier": "https://data.cdc.gov/api/views/3nzu-udr9",
      "title": "Normal weight, overweight, and obesity among adults aged 20 and over, by selected characteristics: United States",
      "description": "Data on normal weight, overweight, and obesity among adults aged 20 and over by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time.\n\nSOURCE: NCHS, National Health and Nutrition Examination Survey. For more information on the National Health and Nutrition Examination Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
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        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
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            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Normal weight, overweight, and obesity among adults aged 20 and over, by selected characteristics: United States",
          "description": "Data on normal weight, overweight, and obesity among adults aged 20 and over by selected population characteristics. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/3nzu-udr9",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Normal weight, overweight, and obesity among adults aged 20 and over, by selected characteristics: United States",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Primary Series Completion, Booster Dose Eligibility, and Booster Dose Receipt by Age, United States ",
      "description": "This site provides historical data beginning June 22, 2022, for the visualization presented on <a href=\"https://covid.cdc.gov/covid-data-tracker/#vaccinations\" target=\"_blank\">COVID-19 Data Tracker’s “Vaccinations in the United States”</a> site titled “Primary Series Completion, Booster Dose Eligibility, and Booster Dose Receipt by Age, United States”.\n\n<b >Fully Vaccinated / Completed Primary Series:</b> <ul><li> For surveillance purposes, COVID Data Tracker counts people as being \"fully vaccinated\" or as having \"completed a primary series\" if they received two doses on different days (regardless of time interval) of the two-dose mRNA series or received one dose of a single-dose vaccine. When the vaccine manufacturer is not reported, the recipient is considered fully vaccinated with two doses.</li></ul><b>First Booster Dose:  </b><ul><li>For surveillance purposes, the count and percentage of people who received a first booster dose includes anyone who is fully vaccinated and has received another dose of COVID-19 vaccine since August 13, 2021. This includes people who received a first booster dose and people who received an additional primary series dose as this metric does not distinguish if the recipient is <b><a href='https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html' target=\"_blank\"> immunocompromised and received an additional dose</a></b>.</li><li><b>   First booster dose eligibility: </b><ul><li>CDC counts people as being <b>\" <a href=\"https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html\" target=\"_blank\">eligible for a first booster dose</a>\"</b> if it has been at least 5 months since completion of a Pfizer-BioNTech or Moderna primary series or at least 2 months since receipt of a Janssen (Johnson & Johnson) singe-dose vaccine. </li></ul></li></ul>\n<b>Second Booster Dose:</b><ul><li>For surveillance purposes, the count and percentage of people who received a second booster dose includes anyone who is fully vaccinated and has received two subsequent doses of COVID-19 vaccine since August 13, 2021. This includes people who received two booster doses and people who received one additional dose and one booster dose.  </li><li>The count of people who received a second booster dose and the percentage of people with a first booster who received a second booster dose does not account for whether a person is <b><a href='https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html'  target=\"_blank\">immunocompromised or time interval since first booster dose</a></b>. </li><li><b>Second booster dose eligibility: </b><ul><li>CDC counts people as being  <b>\"<a href=\"https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html\" target=\"_blank\"><b>eligible for a second booster dose</b></a>\" </b> if it has been at least 4 months since receiving a first booster dose. </ul></li></li><li><b>Limitations to counting people with a second booster dose: </b>\n<ul><li>Due to the aggregate vaccination record reporting method used by Idaho for its residents under the age of 18 years and by Texas for all its residents, CDC counts all 4th doses received by these populations as a second booster dose. This includes immunocompromised individuals who received a three-dose primary series and only one booster dose. This limitation may lead to an undercount of people who received the single-dose J&J/Janssen vaccine as their primary series and two booster doses.</li></ul>\n</li></ul>Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3pbe-qh9z",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/3suw-ciyu",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "administration",
        "age",
        "coronavirus",
        "covid-19",
        "izdl",
        "demographics",
        "vaccination",
        "sex",
        "race",
        "ethnicity",
        "immunization"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3pbe-qh9z/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3pbe-qh9z",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3pbe-qh9z/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3pbe-qh9z",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/3pbe-qh9z/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3pbe-qh9z/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3pbe-qh9z",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19 Primary Series Completion, Booster Dose Eligibility, and Booster Dose Receipt by Age, United States  - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3pbe-qh9z",
        "description": "COVID-19 Primary Series Completion, Booster Dose Eligibility, and Booster Dose Receipt by Age, United States  - Dataset Home",
        "issued": "2022-07-25",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/3suw-ciyu",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-12-13",
          "endDate": "2023-05-12"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/3q3z-9ucr",
      "identifier": "https://data.cdc.gov/api/views/3q3z-9ucr",
      "title": "Healthy People 2020 Final Progress by Population Group Chart and Table",
      "description": "[1] The Progress by Population Group analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included subsets of the 1,111 measurable HP2020 objectives that have data available for any of six broad population characteristics: sex, race and ethnicity, educational attainment, family income, disability status, and geographic location. Progress toward meeting HP2020 targets is presented for up to 24 population groups within these characteristics, based on objective data aggregated across HP2020 topic areas. The Progress by Population Group data are also available at the individual objective level in the downloadable data set.\n[2] The final value was generally based on data available on the HP2020 website as of January 2020. For objectives that are continuing into HP2030, more recent data will be included on the HP2030 website as it becomes available: https://health.gov/healthypeople.\n[3] For more information on the HP2020 methodology for measuring progress toward target attainment and the elimination of health disparities, see: Healthy People Statistical Notes, no 27; available from: https://www.cdc.gov/nchs/data/statnt/statnt27.pdf.\n[4] Status for objectives included in the HP2020 Progress by Population Group analysis was determined using the baseline, final, and target value. The progress status categories used in HP2020 were:\n\na. Target met or exceeded—One of the following applies: (i) At baseline, the target was not met or exceeded, and the most recent value was equal to or exceeded the target (the percentage of targeted change achieved was equal to or greater than 100%); (ii) The baseline and most recent values were equal to or exceeded the target (the percentage of targeted change achieved was not assessed).\n\nb. Improved—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved 10% or more of the targeted change.\n\nc. Little or no detectable change—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was not statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved less than 10% of the targeted change; (iii) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was not statistically significant; (iv) Movement was away from the baseline and target, standard errors were not available, and the objective had moved less than 10% relative to the baseline; (v) No change was observed between the baseline and the final data point.\n\nd. Got worse—One of the following applies: (i) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was statistically significant; (ii) Movement was away from the baseline and target, standard errors were not available, and the objective had moved 10% or more relative to the baseline.\n\nNOTE: Measurable objectives had baseline data.\nSOURCE: National Center for Health Statistics, Healthy People 2020 Progress by Population Group database.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Healthy People 2020 Final Progress by Population Group Chart and Table",
          "description": "[1] The Progress by Population Group analysis is a component of the Healthy People 2020 (HP2020) Final Review. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/3q3z-9ucr",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Healthy People 2020 Final Progress by Population Group Chart and Table",
        "accessURL": "https://www.cdc.gov/nchs/healthy_people/hp2020/population-groups.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "U.S. State and Territorial Gathering Bans: March 11, 2020-May 31, 2021 by County by Day",
      "description": "State and territorial executive orders, administrative orders, resolutions, proclamations, and other official publicly available government communications are collected from government websites and cataloged and coded using Microsoft Excel by one or more coders with one or more additional coders conducting quality assurance.\n\nData were collected to determine when individuals in states and territories were subject to executive orders, administrative orders, resolutions, proclamations, and other official publicly available government communications related to  COVID-19 banning gatherings of various sizes either (1) generally, or specified that the gathering limit applied only when social distancing was not possible, or (2) even if participants practiced social distancing.\n\nThese data are derived from on the publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly ban gatherings found by the CDC, COVID-19 Community Intervention and Critical Populations Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through May 31, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded, as well as official government communications such as announcements that counties have progressed through new phases of reopening pursuant to an executive order, directive, or other executive branch action, and posted to government websites; news media reports on restrictions were excluded. Recommendations and guidance documents not included or adopted by reference in an order are not included in these data. These data do not include mandatory business closures, curfews, or requirements/recommendations for people to stay in their homes. Due to limitations of the National Environmental Public Health Tracking Network Data Explorer, these data do not include tribes or cities, nor was a distinction made between county orders that applied county-wide versus those that were limited to unincorporated areas of the county. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3qs9-qnbs",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "T.J. Pierce",
          "hasEmail": "mailto:pwc2@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/qwcg-irwv",
        "@type": "Organization",
        "name": "Environmental Public Health Tracking"
      },
      "keyword": [
        "covid-19",
        "legal epidemiology",
        "government order",
        "social distancing",
        "proclamation",
        "gathering bans",
        "executive order",
        "public health order",
        "mitigation"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/3qs9-qnbs/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3qs9-qnbs",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3qs9-qnbs/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3qs9-qnbs",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/3qs9-qnbs/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3qs9-qnbs/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3qs9-qnbs",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/3qs9-qnbs/columns.xml",
            "title": "Columns for this asset"
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "U.S. State and Territorial Gathering Bans: March 11, 2020-May 31, 2021 by County by Day - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3qs9-qnbs",
        "description": "U.S. State and Territorial Gathering Bans: March 11, 2020-May 31, 2021 by County by Day - Dataset Home",
        "issued": "2021-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/qwcg-irwv",
            "@type": "Organization",
            "name": "Environmental Public Health Tracking"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status",
      "description": "Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status.\nClick 'More' for important dataset description and footnotes\n\nDataset and data visualization details:\nThese data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022. \n\nVaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected.\nAdditional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type. \n** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group.\nDeaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis.\nParticipating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases",
      "accessLevel": "public",
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        }
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      "modified": "2026-09-22",
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            "title": "Columns for this asset"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3rge-nu2a",
        "description": "Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status - Dataset Home",
        "issued": "2022-01-21",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/s8dk-zt6d",
            "@type": "Organization",
            "name": "CDC"
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        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "Select US Jurisdictions"
      },
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 9 - San Francisco",
      "description": "Rate of deaths by age/sex (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.\n\nUpdated on April 28, 2025, to comply with the President’s Executive Order 14168.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3se3-rwj2",
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          "fn": "CDC INFO",
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        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "cdc",
        "centers for disease control and prevention"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/3se3-rwj2/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3se3-rwj2",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/3se3-rwj2/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3se3-rwj2",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3se3-rwj2/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3se3-rwj2",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "accessURL": "https://data.cdc.gov/api/views/3se3-rwj2/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3se3-rwj2/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3se3-rwj2",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3se3-rwj2/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3se3-rwj2",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3se3-rwj2/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3se3-rwj2",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 9 - San Francisco - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3se3-rwj2",
        "description": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 9 - San Francisco - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "@id": "https://data.cdc.gov/api/views/3sh4-uqpm",
      "identifier": "https://data.cdc.gov/api/views/3sh4-uqpm",
      "title": "AH Sickle Cell Disease Provisional Death Counts 2019-2021",
      "description": "Provisional death counts of sickle cell disease and coronavirus disease 2019 (COVID-19), by quarter, age, and race or Hispanic origin from 2019 through Quarter 1, 2021.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Sickle Cell Disease Provisional Death Counts 2019-2021",
          "description": "Provisional death counts of sickle cell disease and coronavirus disease 2019 (COVID-19), by quarter, age, and race or Hispanic origin from 2019 through Quarter 1, 2021. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/3sh4-uqpm",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Sickle Cell Disease Provisional Death Counts 2019-2021",
        "accessURL": "https://www.cdc.gov/nchs/nvss/vsrr/COVID19/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis",
      "description": "NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\nFootnotes:\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3svv-v5nh",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "netss",
        "babesiosis",
        "western equine encephalitis virus disease",
        "nndss",
        "wonder",
        "nedss",
        "arboviral diseases",
        "2022"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3svv-v5nh/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3svv-v5nh",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3svv-v5nh/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3svv-v5nh",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/3svv-v5nh/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/3svv-v5nh/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3svv-v5nh",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/3svv-v5nh/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3svv-v5nh",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/3svv-v5nh/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3svv-v5nh",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/3svv-v5nh/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3svv-v5nh",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3svv-v5nh",
        "description": "NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/3ts8-hsrw",
      "identifier": "https://data.cdc.gov/api/views/3ts8-hsrw",
      "title": "AH Provisional COVID-19 Deaths by Educational Attainment, Race, Sex, and Age",
      "description": "Provisional counts of deaths in the United States by educational attainment, race, sex, and age group. The dataset includes cumulative provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Provisional COVID-19 Deaths by Educational Attainment, Race, Sex, and Age",
          "description": "Provisional counts of deaths in the United States by educational attainment, race, sex, and age group. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/3ts8-hsrw",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Provisional COVID-19 Deaths by Educational Attainment, Race, Sex, and Age",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 18 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 45 of 48 and corresponds to the time range between November 12, 2012, and November 26, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3vip-nfaa",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/3vip-nfaa/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/3vip-nfaa",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 18 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3vip-nfaa",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 18 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Daily County-Level Ozone Concentrations 2001-2022",
      "description": "This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Data are at the county level for 2001-2022. The dataset includes the maximum, median, mean, and population-weighted mean concentration. Please refer to the metadata attachment for more information.\n\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\n\nBy using these data, you signify your agreement to comply with the following requirements:\n1. Use the data for statistical reporting and analysis only.\n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.\n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.\n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.\n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.\n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3vxk-q2jk",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Tracking Support",
          "hasEmail": "mailto:trackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/4zyv-yjue",
        "@type": "Organization",
        "name": "cak8@cdc.gov"
      },
      "keyword": [
        "national ambient air quality standards",
        "air quality",
        "air pollution",
        "ozone",
        "national environmental health tracking network",
        "environmental health",
        "asthma"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3vxk-q2jk/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3vxk-q2jk",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3vxk-q2jk/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3vxk-q2jk",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/3vxk-q2jk/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3vxk-q2jk/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3vxk-q2jk",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/3vxk-q2jk/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Daily County-Level Ozone Concentrations 2001-2022 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3vxk-q2jk",
        "description": "Daily County-Level Ozone Concentrations 2001-2022 - Dataset Home",
        "issued": "2026-04-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/4zyv-yjue",
            "@type": "Organization",
            "name": "cak8@cdc.gov"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "U.S. states"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:032"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2020 Final Assisted Reproductive Technology (ART) Success Rates",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/3x54-3thk",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ARTINFO",
          "hasEmail": "mailto:ARTINFO@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/uj8q-r4hw",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "services",
        "art",
        "assisted reproductive technology",
        "clinic",
        "fertility",
        "infertility",
        "success rates"
      ],
      "modified": "2026-09-23",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/2020-Final-Assisted-Reproductive-Technology-ART-Su/3x54-3thk"
      },
      "distribution": [
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          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3x54-3thk/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3x54-3thk",
          "mediaType": "application/json",
          "modified": "2026-09-23",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3x54-3thk/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3x54-3thk",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/3x54-3thk/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3x54-3thk/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3x54-3thk",
          "mediaType": "application/geo+json",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3x54-3thk/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3x54-3thk",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/3x54-3thk/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/3x54-3thk",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "2020 Final Assisted Reproductive Technology (ART) Success Rates - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/3x54-3thk",
        "description": "2020 Final Assisted Reproductive Technology (ART) Success Rates - Dataset Home",
        "issued": "2023-07-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/uj8q-r4hw",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/3yf8-kanr",
      "identifier": "https://data.cdc.gov/api/views/3yf8-kanr",
      "title": "Weekly Counts of Deaths by State and Select Causes, 2014-2019",
      "description": "Final counts of deaths by the week the deaths occurred, by state of occurrence, and by select causes of death for 2014-2019.  Death counts in this dataset were derived from the National Vital Statistics System database that provides the most timely access to the data.  Therefore, counts may differ slightly from final data due to differences in processing, recoding, and imputation.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Weekly Counts of Deaths by State and Select Causes, 2014-2019",
          "description": "Final counts of deaths by the week the deaths occurred, by state of occurrence, and by select causes of death for 2014-2019. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/3yf8-kanr",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Counts of Deaths by State and Select Causes, 2014-2019",
        "accessURL": "https://www.cdc.gov/nchs/nvss/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "U.S. State and Territorial Public Mask Mandates From April 10, 2020 through July 20, 2021 by County by Day",
      "description": "State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when members of the public in states and territories were subject to state and territorial executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require them to wear masks in public. “Members of the public” are defined as individuals operating in a personal capacity. “In public” is defined to mean either (1) anywhere outside the home or (2) both in retail businesses and in restaurants/food establishments. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level. \n\nThese data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require individuals to wear masks in public found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program, and Max Gakh, Assistant Professor, School of Public Health, University of Nevada, Las Vegas from April 10, 2020 through July 20, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the dates provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not include data on counties that have opted out of their state mask mandate pursuant to state law. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/42jj-z7fa",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "T.J. Pierce",
          "hasEmail": "mailto:pwc2@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/qwcg-irwv",
        "@type": "Organization",
        "name": "Environmental Public Health Tracking"
      },
      "keyword": [
        "legal epidemiology",
        "mitigation",
        "proclamation",
        "government order",
        "executive order",
        "covid-19",
        "public health order",
        "social distancing",
        "mask mandates",
        "masks"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/42jj-z7fa/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/42jj-z7fa",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/42jj-z7fa/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/42jj-z7fa",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/42jj-z7fa/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/42jj-z7fa/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/42jj-z7fa",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/42jj-z7fa/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "U.S. State and Territorial Public Mask Mandates From April 10, 2020 through July 20, 2021 by County by Day - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/42jj-z7fa",
        "description": "U.S. State and Territorial Public Mask Mandates From April 10, 2020 through July 20, 2021 by County by Day - Dataset Home",
        "issued": "2021-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/qwcg-irwv",
            "@type": "Organization",
            "name": "Environmental Public Health Tracking"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Daily Grouped Pollen Concentrations (Trees and Weeds) for Select United States Cities, 2003-2024",
      "description": "The National Allergy Bureau™ (NAB™) commonly provides grouped pollen levels. In this dataset, grouped trees and grouped weeds are provided as daily pollen levels and concentrations using data from the NAB. Grouped grass pollen metrics were excluded from selected products to align with data-sharing policies. Public release of grouped grass data could allow inference of taxa-specific concentrations in some contexts; therefore, these metrics are not included.\n\nPollen concentrations are reported as pollen grains per cubic meter (PPCM). Daily pollen levels are determined from PPCM concentrations that fall within the following thresholds, which are based on the proportion of days exceeding these PPCM numbers. The pollen levels provided in this dataset correspond to the following grouped pollen concentrations:\nGrouped Trees\nVery High: ≥1500 PPCM\nHigh: ≥90–1500 PPCM\nModerate: ≥15–90 PPCM\nLow: <15 PPCM\n\nGrouped Weeds\nVery High: ≥500 PPCM\nHigh: ≥50–500 PPCM\nModerate: ≥10–50 PPCM\nLow: <10 PPCM \n\nPollen dates were converted to a 365-day-of-year format using 2024 as the reference year for all date calculations, which is the last year of pollen data for this release. This dataset is part of a series of pollen datasets from the NAB, processed and standardized by the Division of Environmental Health Science and Practice (DEHSP), National Center for Environmental Health (NCEH), CDC. Further details about the pollen data, including collection, counting, and calculations, can be found here: https://www.mdpi.com/3954654",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/435k-2whj",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Arie Manangan",
          "hasEmail": "mailto:climateandhealth@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/k59p-qqrp",
        "@type": "Organization",
        "name": "Arie Manangan"
      },
      "keyword": [
        "pollen concentrations",
        "respiratory health",
        "seasonal allergies",
        "tree pollen",
        "allergy season",
        "weed pollen",
        "allergy",
        "allergic rhinitis",
        "pollen",
        "high pollen days",
        "hayfever",
        "air quality",
        "environmental health",
        "asthma triggers",
        "pollen count",
        "aeroallergens",
        "allergen exposure"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/435k-2whj/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/435k-2whj",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/435k-2whj/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/435k-2whj",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/435k-2whj/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/435k-2whj/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/435k-2whj",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/435k-2whj/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Daily Grouped Pollen Concentrations (Trees and Weeds) for Select United States Cities, 2003-2024 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/435k-2whj",
        "description": "Daily Grouped Pollen Concentrations (Trees and Weeds) for Select United States Cities, 2003-2024 - Dataset Home",
        "issued": "2026-09-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/k59p-qqrp",
            "@type": "Organization",
            "name": "Arie Manangan"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/44rk-q6r2",
      "identifier": "https://data.cdc.gov/api/views/44rk-q6r2",
      "title": "NCHS - Drug Poisoning Mortality by State: United States (44rk-q6r2)",
      "description": "This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning.\n\nDeaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).\n\nEstimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.\n\nDeath rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances.\n\nREFERENCES\n1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm.\n\n2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Drug Poisoning Mortality by State: United States (44rk-q6r2)",
          "description": "This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/44rk-q6r2",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Drug Poisoning Mortality by State: United States (44rk-q6r2)",
        "accessURL": "https://www.cdc.gov/nchs/nvss/vsrr/provisional-drug-overdose.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table I. infrequently reported notifiable diseases",
      "description": "NNDSS - Table I. infrequently reported notifiable diseases - 2017.  In this Table, provisional cases of selected infrequently reported notifiable diseases (<1,000 cases reported during the preceding year) are displayed.  \r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in these tables are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnote:\r\n—: No reported cases. N: Not reportable. NA: Not available. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. \r\n\r\n* Case counts for reporting year 2017 are provisional and subject to change. Data for years 2012 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. \r\n\r\n† This table does not include cases from the U.S. territories. Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n§ Calculated by summing the incidence counts for the current week, the 2 weeks preceding the current week, and the 2 weeks following the current week, for a total of 5 preceding years. Additional information is available at http://wwwn.cdc.gov/nndss/document/5yearweeklyaverage.pdf.\r\n\r\n¶ Updated weekly reports from the Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases (ArboNET Surveillance). Data for West Nile virus are available in Table II. \r\n\r\n** Not reportable in all jurisdictions. Data from states where the condition is not reportable are excluded from this table, except for the arboviral diseases and influenza-associated pediatric mortality. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.\r\n\r\n†† Data for Haemophilus influenzae (all ages, all serotypes) are available in Table II.\r\n\r\n§§ In 2016, the nationally notifiable condition ‘Hepatitis B Perinatal Infection’ was renamed to ‘Perinatal Hepatitis B Virus Infection’ and reflects updates in the 2016 CSTE position statement for Perinatal Hepatitis B Virus Infection.\r\n\r\n¶¶ Please refer to the MMWR publication for weekly updates to the footnote for this condition. \r\n\r\n*** Please refer to the MMWR publication for weekly updates to the footnote for this condition. \r\n\r\n††† Data for meningococcal disease (all serogroups) are available in Table II.\r\n\r\n§§§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses.  With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2011 have been variant influenza viruses.  Total case counts are provided by the Influenza Division, National Center for Immunization and Respiratory Diseases (NCIRD).\r\n\r\n¶¶¶ Updated weekly from reports to the Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention.\r\n\r\n**** Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as \"viral hemorrhagic fevers\". Beginning in 2015, NNDSS has been updated to receive data for each of",
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        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
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        "infant",
        "human",
        "hepatitis b",
        "hemolytic uremic syndrome",
        "hantavirus pulmonary syndrome (hps)",
        "hantavirus infection",
        "hantavirus",
        "hansen's disease",
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        "guanarito hemorrhagic fever",
        "foodborne",
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        "crimean-congo hemorrhagic fever",
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        "botulism",
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        "nontypeable",
        "novel influenza a virus infections",
        "other serogroups",
        "other (wound & unspecified)",
        "paralytic",
        "perinatal virus infection",
        "plague",
        "poliomyelitis",
        "polio virus infection",
        "postdiarrheal",
        "powassan virus disease",
        "psittacosis",
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        "rabies",
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        "sars-cov",
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        "total",
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        "vancomycin-intermediate staphylococcus aureus",
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        "western equine encephalitis virus disease",
        "wonder",
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        "zika virus disease",
        "typhoid fever (caused by salmonella typhi)",
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        "unknown serotype",
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        "non-b serotype",
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        "neuroinvasive and nonneuroinvasive",
        "netss",
        "nedss",
        "mmwr",
        "meningococcal disease (neisseria meningitidis)",
        "measles",
        "marburg fever",
        "machupo hemorrhagic fever",
        "lujo virus",
        "listeriosis",
        "leptospirosis",
        "lassa fever",
        "la crosse virus disease",
        "non-hps",
        "nonparalytic",
        "junin hemorrhagic fever",
        "jamestown canyon virus disease",
        "invasive disease (age <5 yrs)"
      ],
      "modified": "2026-09-09",
      "distribution": [
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            "title": "Columns for this asset"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table I. infrequently reported notifiable diseases - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/45b4-9j7u",
        "description": "NNDSS - Table I. infrequently reported notifiable diseases - Dataset Home",
        "issued": "2019-02-12",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
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      "bureauCode": [
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      "programCode": [
        "009:020"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC Wastewater Data for RSV",
      "description": "This dataset provides a complete time history of RSV wastewater sample data and calculated metrics from US sampling locations.\n\nCDC’s National Wastewater Surveillance System (NWSS) includes data collected and reported by:\n• All data with a source designation of “State_Territory” were generated by state and local health departments are reported to CDC and supported with funding through the Epidemiology and Laboratory Capacity for the Prevention and Control of Emerging Infectious Diseases (ELC) Cooperative Agreement (https://www.cdc.gov/epidemiology-laboratory-capacity/php/our-work/index.html).\n• All data with a source designation of “CDC_Verily” were generated by CDC’s national wastewater testing contract (currently with Verily Life Sciences, LLC).\n• All data with a source designation of “WastewaterSCAN” were generated by WastewaterSCAN, a partnership between Stanford University, Emory University, and Verily. All results are understood to be based on inputs that are experimental in nature and are not intended to diagnose or treat any disease. The results are provided “as is” and without warranty of any kind. Stanford does not accept liability for any claim arising out of or in connection with the disclosure of these results. WastewaterSCAN indicates that by accessing or copying any part of the database, the user accepts the terms of Stanford’s license (CC BY-NC 4.0). These data are being made available to inform public health decision making. Anyone seeking to use the database for other purposes or for research is required to contact the WastewaterSCAN / SCAN team (email: wwscan_stanford_emory@lists.stanford.edu) and any use of the data should be cited appropriately (https://data.wastewaterscan.org/about/#18).\n\nLearn more at: www.cdc.gov/wastewater.\n\nThis dataset is updated weekly on Fridays.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/45cq-cw4i",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "National Wastewater Surveillance System (NWSS)",
          "hasEmail": "mailto:NWSS@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/mt3r-qr2b",
        "@type": "Organization",
        "name": "NWSS"
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      "keyword": [
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        "rsv",
        "united states",
        "weekly",
        "respiratory syncytial virus",
        "nwss",
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      "modified": "2026-09-22",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/45cq-cw4i/export.csv?accessType=DOWNLOAD",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/45cq-cw4i/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/45cq-cw4i",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/45cq-cw4i/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/45cq-cw4i",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC Wastewater Data for RSV - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/45cq-cw4i",
        "description": "CDC Wastewater Data for RSV - Dataset Home",
        "issued": "2026-03-06",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/mt3r-qr2b",
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        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US States and Territories"
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      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 9 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 36 of 48 and corresponds to the time range between July 16, 2012, and August 13, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/45ib-prup",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/download/45ib-prup/application/x-zip-compressed",
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        "title": "Elk Creek Seismic Waveforms 2012 (Part 9 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/45ib-prup",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 9 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
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            "name": "Shawn Boltz"
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      "bureauCode": [
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      "programCode": [
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    },
    {
      "@type": "Dataset",
      "title": "Rates of TBI-related Emergency Department Visits, Hospitalizations, and Deaths - United States, 2001 – 2010",
      "description": "In general, total combined rates for traumatic brain injury (TBI)-related emergency department (ED) visits, hospitalizations and deaths have increased over the past decade.  Total combined rates of TBI-related hospitalizations, ED visits, and deaths climbed slowly from a rate of 521.0 per 100,000 in 2001 to 615.7 per 100,000 in 2005.  The rates then dipped to 595.1 per 100,000 in 2006 and 566.7 per 100,000 in 2007.  The rates then spiked sharply in 2008 and continued to climb through 2010 to a rate of 823.7 per 100,000.  Total combined rates of TBI-related hospitalizations, ED visits, and deaths are driven in large part by the relatively high number of TBI-related ED visits.  In comparison to ED visits, the overall rates of TBI-related hospitalizations remained relatively stable changing from 82.7 per 100,000 in 2001 to 91.7 per 100,000 in 2010.  TBI-related deaths also decreased slightly over time from 18.5 per 100,000 in 2001 to 17.1 per 100,000 in 2010.  Note that the axis scale for TBI-related deaths appears to the right of the chart and differs from TBI-related hospitalizations and ED visits.Go to http://www.cdc.gov/traumaticbraininjury/data/index.html to view more TBI data & statistics.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/45um-c62r",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "brain injury",
        "head trauma",
        "tbi",
        "traumatic brain injury"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/45um-c62r/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/45um-c62r",
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Rates of TBI-related Emergency Department Visits, Hospitalizations, and Deaths - United States, 2001 – 2010 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/45um-c62r",
        "description": "Rates of TBI-related Emergency Department Visits, Hospitalizations, and Deaths - United States, 2001 – 2010 - Dataset Home",
        "issued": "2014-04-02",
        "publisher": [
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    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1U. Legionellosis to Listeriosis",
      "description": "NNDSS - TABLE 1U. Legionellosis to Listeriosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/484g-ihkb",
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        }
      ],
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        "name": "aso7@cdc.gov"
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      "keyword": [
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        "listeriosis",
        "leptospirosis",
        "wonder",
        "nndss",
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        "nedss"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/484g-ihkb",
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          "accessURL": "https://data.cdc.gov/d/484g-ihkb",
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          }
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          "accessURL": "https://data.cdc.gov/d/484g-ihkb",
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            "title": "Columns for this asset"
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1U. Legionellosis to Listeriosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/484g-ihkb",
        "description": "NNDSS - TABLE 1U. Legionellosis to Listeriosis - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
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      },
      "bureauCode": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "@id": "https://data.cdc.gov/api/views/489q-934x",
      "identifier": "https://data.cdc.gov/api/views/489q-934x",
      "title": "NCHS - VSRR Quarterly provisional estimates for selected indicators of mortality",
      "description": "Provisional estimates of death rates. Estimates are presented for each of the 15 leading causes of death plus estimates for deaths attributed to drug overdose, falls (for persons aged 65 and over), human immunodeficiency virus (HIV) disease, homicide, and firearms-related deaths.",
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          "title": "NCHS - VSRR Quarterly provisional estimates for selected indicators of mortality",
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          "modified": "2026-06-23"
        }
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      ],
      "modified": "2026-06-23",
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        "title": "NCHS - VSRR Quarterly provisional estimates for selected indicators of mortality",
        "accessURL": "https://www.cdc.gov/nchs/nvss/vsrr/mortality.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County",
      "description": "2014 to 2016, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
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        "heart disease"
      ],
      "modified": "2026-09-23",
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        "description": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County - Dataset Home",
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        }
      ],
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        "description": "PLACES: Local Data for Better Health, Census Tract Data 2020 release - Dataset Home",
        "issued": "2021-09-29",
        "publisher": [
          {
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/4bc2-bbpq",
      "identifier": "https://data.cdc.gov/api/views/4bc2-bbpq",
      "title": "Provisional Percent of Deaths for COVID-19, Influenza, and RSV",
      "description": "This file contains the provisional percent of total deaths by week for COVID-19, Influenza, and Respiratory Syncytial Virus for deaths occurring among residents in the United States. Provisional data are based on non-final counts of deaths based on the flow of mortality data in National Vital Statistics System.",
      "contactPoint": {
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        "fn": "National Center for Health Statistics",
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      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Provisional Percent of Deaths for COVID-19, Influenza, and RSV",
          "description": "This file contains the provisional percent of total deaths by week for COVID-19, Influenza, and Respiratory Syncytial Virus for deaths occurring among residents in the United States. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/4bc2-bbpq",
          "modified": "2026-07-24"
        }
      ],
      "rights": [
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      ],
      "modified": "2026-07-24",
      "landingPage": {
        "@type": "Document",
        "title": "Provisional Percent of Deaths for COVID-19, Influenza, and RSV",
        "accessURL": "https://data.cdc.gov/d/4bc2-bbpq"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Monthly Cumulative Number and Percent of Children <8 Months Who Received Nirsevimab by Jurisdiction, United States",
      "description": "Monthly Cumulative Percent of Children <8 Months Who Received Nirsevimab by Jurisdiction, United States. \nNirsevimab coverage for children 0 to 7 months is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group (https://www.cdc.gov/iis/about/).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4bdk-kyzv",
      "contactPoint": [
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          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
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        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "vsd",
        "iqvia",
        "rsv vaccination",
        "nis-acm",
        "iis"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/4bdk-kyzv/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4bdk-kyzv",
          "mediaType": "text/csv",
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          "accessURL": "https://data.cdc.gov/d/4bdk-kyzv",
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            "title": "Columns for this asset"
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          "downloadURL": "https://data.cdc.gov/api/v3/views/4bdk-kyzv/query.xml?accessType=DOWNLOAD",
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          "mediaType": "application/xml",
          "modified": "2026-09-10",
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        "title": "Monthly Cumulative Number and Percent of Children <8 Months Who Received Nirsevimab by Jurisdiction, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4bdk-kyzv",
        "description": "Monthly Cumulative Number and Percent of Children <8 Months Who Received Nirsevimab by Jurisdiction, United States - Dataset Home",
        "issued": "2024-11-20",
        "publisher": [
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            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
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        "prefLabel": "United States- National"
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    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified)",
      "description": "NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4bft-6yws",
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
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        "name": "aso7@cdc.gov"
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      "keyword": [
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        "wonder",
        "2020",
        "netss",
        "other (wound & unspecified)",
        "infant",
        "nndss",
        "botulism",
        "nedss"
      ],
      "modified": "2026-09-08",
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        "@type": "Document",
        "title": "NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4bft-6yws",
        "description": "NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - Dataset Home",
        "issued": "2020-01-17",
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            "@type": "Organization",
            "name": "aso7@cdc.gov"
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Mapping Injury, Overdose, and Violence - Census Tract",
      "description": "This file contains death counts and death rates for drug overdose, suicide, homicide and firearm injuries by census tract of residence (additional datasets exist for other levels of geography). The data is grouped by 2 different time periods including yearly and trailing twelve months. Please see data dictionary for intents and mechanisms included in each measure. \n\n \n\nWhen there are 1-9 deaths in an area, CDC uses a Bayesian model to calculate rates. A Bayesian model is a type of statistical model often used in geographic analysis. This model can improve stability of the rates in lower population areas and protects privacy by taking into account information from neighboring areas.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4day-mt2f",
      "contactPoint": [
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          "fn": "NCIPC",
          "hasEmail": "mailto:injurydashboard@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/jeb5-35de",
        "@type": "Organization",
        "name": "NCIPC Injury Dashboard"
      },
      "keyword": [
        "firearm injury",
        "suicide",
        "deaths",
        "homicide",
        "mortality",
        "nchs",
        "drug overdose"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4day-mt2f/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4day-mt2f",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4day-mt2f/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4day-mt2f",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4day-mt2f/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4day-mt2f",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4day-mt2f/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Mapping Injury, Overdose, and Violence - Census Tract - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4day-mt2f",
        "description": "Mapping Injury, Overdose, and Violence - Census Tract - Dataset Home",
        "issued": "2025-01-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/jeb5-35de",
            "@type": "Organization",
            "name": "NCIPC Injury Dashboard"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:033"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Total Inward Leakage (TIL) for Respiratory Protective Devices",
      "description": "Total inward leakage (TIL) is an estimate of the performance of a respirator, which is measured as the leakage of contaminants through the filter media and through the faceseal interface and exhalation valve of respiratory protective devices under laboratory conditions. Several test agents have been used to measure TIL in different countries. There is a lack of consensus on the most appropriate test method to measure TIL. The International Organization for Standardization (ISO) developed a standard (ISO, 2014) on the comparison of TIL measurement using sodium chloride (NaCl) and corn oil aerosols, and sulfur hexafluoride gas. A comparison of the TIL values between different methods will enable the selection of a relatively suitable method for measuring TIL. NIOSH’s National Personal Protective Technology Laboratory (NPPTL) investigated the TIL values for respirators worn by test subjects exposed to NaCl and corn oil aerosols in two aerosol chambers side-by-side. Four air-purifying respirator categories, made",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4ems-va7k",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Personal Protective Technology Laboratory, Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/4ems-va7k/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/4ems-va7k",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Total Inward Leakage (TIL) for Respiratory Protective Devices - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4ems-va7k",
        "description": "Total Inward Leakage (TIL) for Respiratory Protective Devices - Dataset Home",
        "issued": "2024-11-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1C. Arboviral diseases, St. Louis encephalitis virus to Western equine encephalitis virus",
      "description": "NNDSS - Table 1C. Arboviral diseases, neuroinvasive and non-neuroinvasive,  St. Louis encephalitis virus disease to Western equine encephalitis virus disease - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4ewf-ciy6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "arboviral diseases",
        "2019",
        "st. louis encephalitis virus disease",
        "western equine encephalitis virus disease",
        "netss",
        "wonder",
        "nndss",
        "nedss"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4ewf-ciy6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4ewf-ciy6",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4ewf-ciy6/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4ewf-ciy6",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4ewf-ciy6/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4ewf-ciy6/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4ewf-ciy6",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4ewf-ciy6/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1C. Arboviral diseases, St. Louis encephalitis virus to Western equine encephalitis virus - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4ewf-ciy6",
        "description": "NNDSS - TABLE 1C. Arboviral diseases, St. Louis encephalitis virus to Western equine encephalitis virus - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics and by Season 2025–26 and 2025–26 Compared with 2024–25 Among Adults 18 Years, Overall, by Selected Demographics",
      "description": "• Weekly Influenza Vaccination Coverage and Comparison among adults 18 Years and Older by Jurisdiction.\n\n• Weekly estimates of influenza vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Surveys (NIS)-Fall Respiratory Virus Module (NIS-FRVM). The NIS-FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. All estimates are based upon self-reported receipt of vaccination and month of that vaccination.  \n\n• The NIS-FRVM data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel. This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4g6p-3ed6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "iis-child",
        "vsd",
        "nis-flu",
        "nis-child",
        "nis-acm",
        "iis-adult",
        "ihs",
        "flu vaccination",
        "doses distributed",
        "cms",
        "iqvia"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4g6p-3ed6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4g6p-3ed6",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4g6p-3ed6/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4g6p-3ed6",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4g6p-3ed6/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4g6p-3ed6/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4g6p-3ed6",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4g6p-3ed6/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics and by Season 2025–26 and 2025–26 Compared with 2024–25 Among Adults 18 Years, Overall, by Selected Demographics - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4g6p-3ed6",
        "description": "Weekly Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics and by Season 2025–26 and 2025–26 Compared with 2024–25 Among Adults 18 Years, Overall, by Selected Demographics - Dataset Home",
        "issued": "2025-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Projectile Fluid Penetration and Flammability of Respirators and other Head/Facial Personal Protective Equipment (FPFPPE)",
      "description": "The U.S. Food and Drug Administration (FDA) requires surgical masks (SMs) and surgical N95 respirators used in healthcare to meet certain fluid resistance and flammability levels. NIOSH’s National Personal Protective Technology Laboratory (NPPTL) investigated the fluid penetration and flammability of respirators and other head/facial personal protective equipment to determine their efficacy in reducing healthcare workers’ risk for occupational exposures to infectious microorganisms and injury due to accidental fires in surgical settings. The results from this study showed that FDA cleared SMs and surgical N95 respirators were resistant to synthetic blood penetration (Rengasamy et al. 2014) and met the flammability levels (Rengasamy et al. 2018) as expected. Seven out of eleven non-FDA cleared NIOSH-approved N95 filtering facepiece respirator models also passed the synthetic blood penetration and flammability tests. NPPTL tested five models of powered air-purifying respirator (PAPR) hoods and all models showed",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4j6x-nm2a",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Personal Protective Technology Laboratory, Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/4j6x-nm2a/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/4j6x-nm2a",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Projectile Fluid Penetration and Flammability of Respirators and other Head/Facial Personal Protective Equipment (FPFPPE) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4j6x-nm2a",
        "description": "Projectile Fluid Penetration and Flammability of Respirators and other Head/Facial Personal Protective Equipment (FPFPPE) - Dataset Home",
        "issued": "2024-11-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B",
      "description": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4jje-6vv6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "wonder",
        "2020",
        "all serogroups",
        "meningococcal disease",
        "nedss",
        "netss",
        "nndss",
        "serogroup b",
        "serogroups acwy"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4jje-6vv6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4jje-6vv6",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4jje-6vv6/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4jje-6vv6",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4jje-6vv6/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4jje-6vv6/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4jje-6vv6",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4jje-6vv6/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4jje-6vv6/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4jje-6vv6",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4jje-6vv6/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4jje-6vv6",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4jje-6vv6/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4jje-6vv6",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4jje-6vv6",
        "description": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Environmental Antecedents of Foodborne Illness Outbreaks",
      "description": "Foodborne outbreak investigations often provide data for public health officials to determine how the environment contributed to the outbreak and on how to prevent future outbreaks. State and local health departments are responsible for investigating foodborne illness outbreaks in their jurisdictions and reporting the data to national-level surveillance systems, including information from the environmental assessment. This assessment is designed to describe how the environment contributed to the outbreak and identifies factors that contributed to the outbreak and environmental antecedents to the outbreak. Environmental antecedents, also referred to as root causes, are specific reasons that allow biological or chemical agents to contaminate, survive, or grow in food. From 2017 – 2019, 24 jurisdictions reported 1,430 antecedents from 393 outbreaks to the National Environmental Assessments Reporting System. The most reported antecedents were lack of oversight of employees/enforcement of policies (89.1%), lack of training of employees on specific processes (74.0%), and lack of a food safety culture/attitude towards food safety (57.5%). These findings highlight the critical role that employees play in restaurant food safety and are heavily influenced by restaurant management, who can exercise active managerial control to manage these antecedents. Identifying antecedents during investigations is essential for understanding the outbreak’s root cause and implementing sustainable corrective actions to stop the immediate outbreak and future outbreaks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4khb-4xch",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "The National Environmental Assessment Reporting System (NEARS)",
          "hasEmail": "mailto:nears@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/3sbm-4naq",
        "@type": "Organization",
        "name": "Journal of Food Protection"
      },
      "keyword": [
        "environmental health",
        "outbreak",
        "foodborne",
        "centers for disease control and prevention"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4khb-4xch/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4khb-4xch",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4khb-4xch/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4khb-4xch",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4khb-4xch/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4khb-4xch/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4khb-4xch",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4khb-4xch/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Environmental Antecedents of Foodborne Illness Outbreaks - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4khb-4xch",
        "description": "Environmental Antecedents of Foodborne Illness Outbreaks - Dataset Home",
        "issued": "2024-05-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/3sbm-4naq",
            "@type": "Organization",
            "name": "Journal of Food Protection"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:032"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "MicroRNA-Mediated Calcineurin Signaling Activation Induces CCL2, CCL3, CCL5, IL8 and Chemotactic Activities in 4,4’-Methylene Diphenyl Diisocyanate Exposed Macrophages",
      "description": "Occupational exposure to 4,4’-methylene diphenyl diisocyanate (MDI), the most widely used monomeric diisocyanate, is one of the leading causes of occupational asthma (OA). Pathophysiological mechanism(s) by which how MDI causes OA is still warranted to be elucidated. Alveolar macrophages are the most abundant immune cell type in the lung, and these cells serve as one of the first immune responders against inhaled pathogens, particles, stimuli, and chemical allergens such as dNCOs. Upon encountering outside stimuli, alveolar macrophages react by phagocytosis as well as producing and secreting different mediators such as cytokines, chemokines, and others, into the alveoli microenvironment to orchestrate the initiation of inflammatory/immune responses. Dysfunction of alveolar macrophages, including elevated production and secretion of pro-inflammatory cytokines and other immune mediators, has been shown to play an important role in asthma pathogenesis. In the clinical setting, the levels of many immune mediators produced by macrophages have been found elevated in the asthmatic airway. However, both the levels of these asthma-associated, macrophage-secreted inflammatory/immune mediators in MDI-OA patients’ airways and how expression of these mediators change in response to MDI exposure in alveolar macrophages are largely undetermined. Previously, we demonstrated a microRNA (miR)-206-3p and miR-381-3p mediated PPP3CA/Calcineurin signaling induced inducible nitric oxide synthase (iNOS) transcription in macrophages and bronchoalveolar lavage cells (BALCs) after acute MDI exposure; however, whether this mechanism participates in regulation of other asthma-associated mediators secreted by macrophages/BALCs after MDI exposure is currently unknown. The first aim of this study was to identify candidate asthma-associated, macrophage-secreted mediators that can be regulated after MDI exposure. After identified the candidate mediators can be regulated by MDI-exposure, we investigated the roles of miR-mediated calcineurin signaling in regulation of these candidate mediators’ expressions in relation to the exposure to MDI.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4m2e-y29d",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Allergy and Clinical Immunology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/4m2e-y29d/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/4m2e-y29d",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "MicroRNA-Mediated Calcineurin Signaling Activation Induces CCL2, CCL3, CCL5, IL8 and Chemotactic Activities in 4,4’-Methylene Diphenyl Diisocyanate Exposed Macrophages - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4m2e-y29d",
        "description": "MicroRNA-Mediated Calcineurin Signaling Activation Induces CCL2, CCL3, CCL5, IL8 and Chemotactic Activities in 4,4’-Methylene Diphenyl Diisocyanate Exposed Macrophages - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/4q35-rqzk",
      "identifier": "https://data.cdc.gov/api/views/4q35-rqzk",
      "title": "DQS Hospital admission, average length of stay, outpatient visits, and outpatient surgery by type of ownership and size of hospital: United States",
      "description": "Data on hospital admission, average length of stay, outpatient visits, and outpatient surgery in the United States, by type of ownership and size of hospital. Data are from Health, United States. SOURCE: American Hospital Association (AHA) Annual Survey of Hospitals, Hospital Statistics.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Hospital admission, average length of stay, outpatient visits, and outpatient surgery by type of ownership and size of hospital: United States",
          "description": "Data on hospital admission, average length of stay, outpatient visits, and outpatient surgery in the United States, by type of ownership and size of hospital. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/4q35-rqzk",
          "modified": "2026-07-22"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-22",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Hospital admission, average length of stay, outpatient visits, and outpatient surgery by type of ownership and size of hospital: United States",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Rubella to Salmonellosis",
      "description": "NNDSS - Table II. Rubella to Salmonellosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. \r\n\r\n * Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.\r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4qb4-rsd8",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nndss",
        "nedss",
        "mmwr",
        "congenital syndrome",
        "2016",
        "wonder",
        "salmonellosis",
        "rubella",
        "netss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4qb4-rsd8/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4qb4-rsd8",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4qb4-rsd8/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4qb4-rsd8",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4qb4-rsd8/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4qb4-rsd8/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4qb4-rsd8",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4qb4-rsd8/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Rubella to Salmonellosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4qb4-rsd8",
        "description": "NNDSS - Table II. Rubella to Salmonellosis - Dataset Home",
        "issued": "2017-01-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, ZCTA Data 2024 release",
      "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related scocial needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at   www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4r2x-hcfq",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "brfss",
        "behaviors",
        "zcta",
        "places",
        "outcomes",
        "health",
        "prevention",
        "risk",
        "disability",
        "prevalence",
        "status",
        "zip code"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2020/qnzd-25i4"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r2x-hcfq/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r2x-hcfq",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r2x-hcfq/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r2x-hcfq",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4r2x-hcfq/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r2x-hcfq/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r2x-hcfq",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4r2x-hcfq/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r2x-hcfq/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r2x-hcfq",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r2x-hcfq/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r2x-hcfq",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r2x-hcfq/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r2x-hcfq",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Local Data for Better Health, ZCTA Data 2024 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4r2x-hcfq",
        "description": "PLACES: Local Data for Better Health, ZCTA Data 2024 release - Dataset Home",
        "issued": "2026-03-09",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Vision Service Plan (VSP) – Vision and Eye Health Surveillance",
      "description": "2016. This dataset is a de-identified summary table of vision and eye health data indicators from VSP, stratified by all available combinations of age group, race/ethnicity, sex, and state. VSP claims for VEHSS provides a convenience sample of vision insurance members representing approximately more than 1 in 4 of the U.S. population. VSP uses a web-based claims submissions system to collect and process claims. The denominator of the rates represents persons with VSP benefits as reported by employers, and is subject to some uncertainty.  VSP data for VEHSS include Service Utilization and Eye Health Condition indicators.  Certain ophthalmic conditions and procedures are covered by health insurance and are not covered by managed vision insurance, claims based eye disease prevalence may therefore be expected to undercount true prevalence.  Person level claims and person counts are not publically available.  Reported rates were suppressed for de-identification to ensure protection of patient privacy. Detailed information on VEHSS VSP analyses can be found on the VEHSS VSP webpage (link). Information on VSP data can be found on the VSP website (www.vsp.com). The VEHSS VSP dataset was last updated in June 2018.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4r3g-hv9c",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DDT Public Inquiries",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "vsp",
        "claims",
        "medical diagnoses"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Vision-Eye-Health/Vision-Service-Plan-VSP-Vision-and-Eye-Health-Surv/4r3g-hv9c"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r3g-hv9c/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r3g-hv9c",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r3g-hv9c/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r3g-hv9c",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4r3g-hv9c/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r3g-hv9c/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r3g-hv9c",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4r3g-hv9c/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r3g-hv9c/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r3g-hv9c",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r3g-hv9c/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r3g-hv9c",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r3g-hv9c/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r3g-hv9c",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Vision Service Plan (VSP) – Vision and Eye Health Surveillance - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4r3g-hv9c",
        "description": "Vision Service Plan (VSP) – Vision and Eye Health Surveillance - Dataset Home",
        "issued": "2025-05-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 6 - Dallas",
      "description": "Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4r49-eadb",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "cdc",
        "centers for disease control and prevention"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r49-eadb/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r49-eadb",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r49-eadb/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r49-eadb",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4r49-eadb/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r49-eadb/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r49-eadb",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4r49-eadb/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r49-eadb/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r49-eadb",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r49-eadb/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r49-eadb",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4r49-eadb/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4r49-eadb",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 6 - Dallas - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4r49-eadb",
        "description": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 6 - Dallas - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "β-defensin-1 regulates influenza virus infection in human bronchial epithelial cells through the STAT3 signaling pathway",
      "description": "Understanding the host response to influenza A virus (IAV) infection is vital for developing intervention strategies. The primary barriers for invading respiratory pathogens are the airway epithelial cells of the respiratory tract and antimicrobial peptides produced by these cells. The antimicrobial peptide, β-defensin-1, has antiviral activity against both enveloped and non-enveloped viruses. Significant downregulation of β-defensin1 gene (DEFB1) expression was observed when human bronchial epithelial cells (HBEpCs) were exposed to IAV. HBEpCs overexpressing DEFB1 caused a significant reduction in IAV, that was confirmed by IAV matrix gene analysis and confocal microscopy. DEFB1expression after transfection with hsa-miR-186-5p and hsa-miR-340-5p provided evidence that DEFB1 expression could be modulated by these two miRNAs and hsa-miR-186-5p had a higher binding efficiency with DEFB1. Overexpression of DEFB1 in IAV infected HBEpCs led to increased NF-kB expression.  In a Polymerase Chain Reaction (PCR) array analysis of 84 transcription factors, either overexpressing DEFB1 or siRNA silencing of DEFB1 expression significantly modulated the expression of STAT3.  In addition, Ingenuity Pathway Analysis (IPA) integrated with PCR array data showed that the JAK1/STAT3 pathway was significantly altered by cells overexpressing DEFB1, suggesting that this may be one of the pathways by which defensin regulates IAV replication in HBEpCs. In conclusion, the reduction in IAV copy number in DEFB1 overexpressing cells suggests that β-defensin-1 plays a key role in regulating IAV survival through STAT3 and is a potential target for antiviral drug development.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4rd8-s7gn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Allergy and Clinical Immunology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/4rd8-s7gn/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/4rd8-s7gn",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "β-defensin-1 regulates influenza virus infection in human bronchial epithelial cells through the STAT3 signaling pathway - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4rd8-s7gn",
        "description": "β-defensin-1 regulates influenza virus infection in human bronchial epithelial cells through the STAT3 signaling pathway - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1E. Botulism, Foodborne to Botulism, Other",
      "description": "NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4t6w-ibvk",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "2019",
        "wonder",
        "other (wound and unspecified)",
        "botulism",
        "foodborne",
        "infant",
        "nedss",
        "netss",
        "nndss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4t6w-ibvk/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4t6w-ibvk",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4t6w-ibvk/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4t6w-ibvk",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4t6w-ibvk/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4t6w-ibvk/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4t6w-ibvk",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4t6w-ibvk/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1E. Botulism, Foodborne to Botulism, Other - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4t6w-ibvk",
        "description": "NNDSS - TABLE 1E. Botulism, Foodborne to Botulism, Other - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Differences in Cumulative Respiratory Syncytial Virus (RSV) Vaccination Coverage and Comparison, Overall, by Jurisdiction, Among Adults 75 Years and Older and Adults 50-74 Years with High-Risk Conditions",
      "description": "• Weekly Cumulative RSV Vaccination Coverage and Intent Among Adults 75 Years and Older and 50-74 Years with High Risk Conditions Ever Vaccinated with RSV Vaccine by Demographic Characteristics and Jurisdiction \n\n• Weekly estimates of RSV vaccination coverage and intent among adults 75 years and older and 50-74 years with high risk conditions are calculated using data from the National Immunization Survey - Fall Respiratory Virus Module (NIS–FRVM). The NIS-FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. \n\n• In June 2025, the Advisory Committee on Immunization Practices (ACIP) voted to recommend that adults aged 50–74 years who are at increased risk for severe RSV disease may receive a single dose of an RSV vaccine. In June 2024, the ACIP voted to recommend a single dose of RSV vaccine for all adults 75 years and older. The data below capture ever receiving a dose of an RSV vaccine by adults 50 years and older. \n\n• The NIS-FRVM data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel. This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4tme-u33f",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/ktzw-xbup",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "iqvia",
        "iis",
        "nis-acm",
        "vsd",
        "rsv vaccination",
        "cms"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4tme-u33f/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4tme-u33f",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4tme-u33f/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4tme-u33f",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4tme-u33f/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4tme-u33f/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4tme-u33f",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4tme-u33f/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Differences in Cumulative Respiratory Syncytial Virus (RSV) Vaccination Coverage and Comparison, Overall, by Jurisdiction, Among Adults 75 Years and Older and Adults 50-74 Years with High-Risk Conditions - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4tme-u33f",
        "description": "Weekly Differences in Cumulative Respiratory Syncytial Virus (RSV) Vaccination Coverage and Comparison, Overall, by Jurisdiction, Among Adults 75 Years and Older and Adults 50-74 Years with High-Risk Conditions - Dataset Home",
        "issued": "2025-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/ktzw-xbup",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2014 Glossary and Methodology",
      "description": "Download the latest version of the Glossary and Methodology File",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4tmr-eik2",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "methodology",
        "glossary"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/4tmr-eik2/application/vnd.ms-excel",
          "accessURL": "https://data.cdc.gov/d/4tmr-eik2",
          "mediaType": "application/vnd.ms-excel",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2014 Glossary and Methodology - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4tmr-eik2",
        "description": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2014 Glossary and Methodology - Dataset Home",
        "issued": "2015-01-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Influence of Impurities from Manufacturing Process on the Toxicity Profile of Boron Nitride Nanotubes",
      "description": "The toxicity of boron nitride nanotubes (BNNTs) is confounded by the various manufacturing and purification strategies employed targeted to remove 30-60% of the residuals and impurities. Four BNNTs manufactured by the induction thermal plasma process allowed us to assess the influence of these residuals/impurities on the toxicity profile of BNNTs by producing a gradient of BNNT purity levels through sequential gas purification, and water and solvent washing, followed by filtration. Extensive characterization including Infrared, x-ray spectroscopy, thermogravimetric analysis, size, charge, surface area and density allowed characterization of the alteration in physicochemical properties as the material went through sequential purification. The material from each step was screened using acellular and in vitro assays that evaluated general toxicity, mechanisms of toxicity and macrophage function.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4u7c-2g4q",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Pathology and Physiology Research Branch, Health Effects Laboratory Division",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/4u7c-2g4q/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/4u7c-2g4q",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Influence of Impurities from Manufacturing Process on the Toxicity Profile of Boron Nitride Nanotubes - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4u7c-2g4q",
        "description": "Influence of Impurities from Manufacturing Process on the Toxicity Profile of Boron Nitride Nanotubes - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/4ueh-89p9",
      "identifier": "https://data.cdc.gov/api/views/4ueh-89p9",
      "title": "AH Deaths by Educational Attainment, 2019-2020",
      "description": "Deaths by educational attainment, race, sex, and age group for deaths occurring in the United States. Data are final for 2019 and provisional for 2020.  The dataset includes annual counts of death for total deaths and for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Deaths by Educational Attainment, 2019-2020",
          "description": "Deaths by educational attainment, race, sex, and age group for deaths occurring in the United States. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/4ueh-89p9",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Deaths by Educational Attainment, 2019-2020",
        "accessURL": "https://www.cdc.gov/nchs/nvss/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/4va6-ph5s",
      "identifier": "https://data.cdc.gov/api/views/4va6-ph5s",
      "title": "Provisional COVID-19 Deaths by Place of Death and Age",
      "description": "Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nDeaths involving COVID-19, influenza, and pneumonia reported to NCHS by jurisdiction of occurrence, place of death, and age group.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Provisional COVID-19 Deaths by Place of Death and Age",
          "description": "Effective September 27, 2023, this dataset will no longer be updated. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/4va6-ph5s",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Provisional COVID-19 Deaths by Place of Death and Age",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 11 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 38 of 48 and corresponds to the time range between September 3, 2012, and October 1, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4vee-k8eu",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Shawn Boltz",
          "hasEmail": "mailto:mboltz@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/4vee-k8eu/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/4vee-k8eu",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 11 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4vee-k8eu",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 11 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "A Projectile Concussive Impact Model Produces Neuroinflammation in Both Mild and Moderate-Severe Traumatic Brain Injury",
      "description": "Traumatic brain injury (TBI) is as a major cause of death and disability experienced by nearly 3 million people annually resulting from falls, vehicular accidents, or from being struck by or against an object. While TBIs can range in severity, the majority of injuries are considered to be mild. However, TBI of any severity has the potential to have long-lasting neurological effects including headaches, cognitive/memory impairments, mood dysfunction, and fatigue as a result of neuronal damage and neuroinflammation. The goal of the study was to evaluate the neuroinflammatory and neuronal damage outcomes associated with mild or moderate-severe TBI via the modification of an established closed-head injury model of TBI by varying the material of the projectile.  Rats that received TBI using a stainless steel projectile exhibited outcomes strongly correlated to moderate-severe TBI, such as prolonged unconsciousness, impaired neurobehavior, increased risk for hematoma and death, as well as significant neuronal degeneration and neuroinflammation throughout the cortex, hippocampus, thalamus, and cerebellum.  In contrast, rats that received TBI with an aluminum projectile exhibited characteristics more congruous with mild TBI, such as a trend for longer periods of unconscious in the absence of neurobehavioral deficits, a lack of neurodegeneration and mild neuroinflammation.  Our results indicate that different levels of behavioral, neuroinflammatory, and damage outcomes are associated with differing levels of TBI severity.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4wzk-pwz3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "HELD Toxicology and Molecular Biology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/4wzk-pwz3/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/4wzk-pwz3",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "A Projectile Concussive Impact Model Produces Neuroinflammation in Both Mild and Moderate-Severe Traumatic Brain Injury - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4wzk-pwz3",
        "description": "A Projectile Concussive Impact Model Produces Neuroinflammation in Both Mild and Moderate-Severe Traumatic Brain Injury - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Babesiosis to Campylobacteriosis",
      "description": "NNDSS - Table II. Babesiosis to Campylobacteriosis - 2016. In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.   Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n* Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4y34-2pku",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "2016",
        "campylobacteriosis",
        "nedss",
        "mmwr",
        "netss",
        "nndss",
        "wonder",
        "babesiosis"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4y34-2pku/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4y34-2pku",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4y34-2pku/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4y34-2pku",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4y34-2pku/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4y34-2pku/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4y34-2pku",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4y34-2pku/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Babesiosis to Campylobacteriosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4y34-2pku",
        "description": "NNDSS - Table II. Babesiosis to Campylobacteriosis - Dataset Home",
        "issued": "2017-01-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC PRAMStat Data for 2008",
      "description": "2008. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4ya2-fkvt",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DRH Public Inquiries",
          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/uj8q-r4hw",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "pregnancy history",
        "tobacco use",
        "unintended pregnancy",
        "wic",
        "contraception",
        "infant health",
        "medicaid",
        "mental health",
        "morbidity",
        "obesity",
        "preconception health",
        "prenatal care",
        "reproductive health",
        "abuse",
        "sleep behavior",
        "smoke exposure",
        "stress",
        "alcohol use",
        "breastfeeding"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2008/4ya2-fkvt"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4ya2-fkvt/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4ya2-fkvt",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4ya2-fkvt/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4ya2-fkvt",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4ya2-fkvt/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4ya2-fkvt/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4ya2-fkvt",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4ya2-fkvt/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4ya2-fkvt/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4ya2-fkvt",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4ya2-fkvt/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4ya2-fkvt",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4ya2-fkvt/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4ya2-fkvt",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC PRAMStat Data for 2008 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4ya2-fkvt",
        "description": "CDC PRAMStat Data for 2008 - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/uj8q-r4hw",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease",
      "description": "NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile   virus disease - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4ynm-6jgm",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nndss",
        "netss",
        "nedss",
        "west nile virus disease",
        "wonder",
        "arboviral diseases",
        "st. louis virus disease",
        "2020"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4ynm-6jgm/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4ynm-6jgm",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4ynm-6jgm/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4ynm-6jgm",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4ynm-6jgm/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4ynm-6jgm/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4ynm-6jgm",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4ynm-6jgm/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4ynm-6jgm/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4ynm-6jgm",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4ynm-6jgm/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4ynm-6jgm",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4ynm-6jgm/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4ynm-6jgm",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4ynm-6jgm",
        "description": "NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease - Dataset Home",
        "issued": "2020-01-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2020 Final Assisted Reproductive Technology (ART) Summary",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment’s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient’s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4yy2-qa9v",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ARTINFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/uj8q-r4hw",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "assisted reproductive technology",
        "success rates",
        "services",
        "infertility",
        "fertility",
        "clinic",
        "art"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/2020-Final-Assisted-Reproductive-Technology-ART-Su/4yy2-qa9v"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4yy2-qa9v/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4yy2-qa9v",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4yy2-qa9v/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4yy2-qa9v",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4yy2-qa9v/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4yy2-qa9v/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4yy2-qa9v",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4yy2-qa9v/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4yy2-qa9v/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4yy2-qa9v",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4yy2-qa9v/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4yy2-qa9v",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4yy2-qa9v/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4yy2-qa9v",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "2020 Final Assisted Reproductive Technology (ART) Summary - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4yy2-qa9v",
        "description": "2020 Final Assisted Reproductive Technology (ART) Summary - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/uj8q-r4hw",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Mortality (SAM)",
      "description": "2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable mortality (SAM) is the number of deaths caused by cigarette smoking based on diseases for which the U.S. Surgeon General has determined that cigarette smoking is a causal factor.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4yyu-3s69",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "osh",
        "tobacco",
        "sam",
        "sammec"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4yyu-3s69/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4yyu-3s69",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4yyu-3s69/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4yyu-3s69",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4yyu-3s69/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4yyu-3s69/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4yyu-3s69",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4yyu-3s69/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4yyu-3s69/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4yyu-3s69",
          "mediaType": "application/geo+json",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4yyu-3s69/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4yyu-3s69",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4yyu-3s69/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4yyu-3s69",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Mortality (SAM) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4yyu-3s69",
        "description": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Mortality (SAM) - Dataset Home",
        "issued": "2025-01-31",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Animal Contact Exhibits_Legal Epidemiology Research Procedure and Code Book_2016",
      "description": "Animals at petting zoos and agricultural fairs can be carriers of pathogens, such as Escherichia coli. Disease outbreaks at animal contact exhibits can be prevented by handwashing after contact with animals and keeping food and beverage away from exhibits. This research procedure and code book accompanies the data set, Animal Contact Exhibits_Legal Epidemiology Dataset_2016, which catalogs and analyzes a collection of state hand sanitation laws for the following categories of animal contact exhibits:\na. Petting zoos\nb. Agricultural fairs\nc. County or state fairs\nd. Exotic animal exhibits\ne. Circuses\nf. Zoos",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4zc2-9ujh",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "F. Abigail Ferrell",
          "hasEmail": "mailto:fferrell@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/bnfi-nqne",
        "@type": "Organization",
        "name": "jwz3@cdc.gov"
      },
      "keyword": [
        "county or state fair",
        "agricultural fair",
        "legal epidemiology",
        "infectious disease",
        "animal contact exhibit",
        "circus",
        "exotic animals",
        "zoonotic disease",
        "zoo",
        "petting zoo"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/4zc2-9ujh/application/pdf",
          "accessURL": "https://data.cdc.gov/d/4zc2-9ujh",
          "mediaType": "application/pdf",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Animal Contact Exhibits_Legal Epidemiology Research Procedure and Code Book_2016 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4zc2-9ujh",
        "description": "Animal Contact Exhibits_Legal Epidemiology Research Procedure and Code Book_2016 - Dataset Home",
        "issued": "2017-06-27",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/bnfi-nqne",
            "@type": "Organization",
            "name": "jwz3@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Cases Among Healthcare Personnel, by week - ARCHIVED",
      "description": "Weekly cases among healthcare personnel, by week\n\n<b>Note:</b> Rows marked by \"missing date fields\" represent healthcare worker cases that were not associated with a date.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/4zxn-f9dq",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC-INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "NCIRD-CORVD"
      },
      "keyword": [
        "healthcare workers",
        "ncird-corvd",
        "healthcare personnel",
        "covid-19",
        "coronavirus",
        "cases"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4zxn-f9dq/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4zxn-f9dq",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4zxn-f9dq/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4zxn-f9dq",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4zxn-f9dq/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/4zxn-f9dq/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/4zxn-f9dq",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/4zxn-f9dq/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19 Cases Among Healthcare Personnel, by week - ARCHIVED - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/4zxn-f9dq",
        "description": "COVID-19 Cases Among Healthcare Personnel, by week - ARCHIVED - Dataset Home",
        "issued": "2023-08-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "NCIRD-CORVD"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Salmonellosis to Shigellosis",
      "description": "NNDSS - Table II. Salmonellosis to Shigellosis - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Includes E. coli O157:H7; Shiga toxin positive, serogroup non-O157; and Shiga toxin positive, not serogrouped.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/52cr-rw4k",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "stec",
        "2014",
        "mmwr",
        "shiga toxin-producing e. coli",
        "shigellosis",
        "wonder",
        "salmonellosis",
        "nndss",
        "netss",
        "nedss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/52cr-rw4k/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/52cr-rw4k",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/52cr-rw4k/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/52cr-rw4k",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/52cr-rw4k/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/52cr-rw4k/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/52cr-rw4k",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/52cr-rw4k/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Salmonellosis to Shigellosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/52cr-rw4k",
        "description": "NNDSS - Table II. Salmonellosis to Shigellosis - Dataset Home",
        "issued": "2015-01-08",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians' Medical Offices, Adults 50 to 74 Years and 75 years and older, United States",
      "description": "• Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, Adults 50–74 Years and 75 Years and Older, United States \n\n• In June 2023, the Advisory Committee on Immunization Practices (ACIP) voted to recommend that adults aged ≥60 years may receive a single dose of an RSV vaccine, using shared clinical decision-making. In June 2024, the ACIP voted to recommend a single dose of RSV vaccine for all adults 75 years and older and adults 60–74 years who are at increased risk for severe RSV disease.† On June 26, 2024, CDC adopted these recommendations. In April 2025, ACIP recommended that adults 50–59 years who are at increased risk for severe RSV disease were added to the previous recommendation. This recommendation was adopted by the HHS Secretary on June 25, 2025.  The data below capture the number of RSV doses administered to adults 50 years and older.† \n\n• The projected pharmacy estimates are based on IQVIA‡,§ Longitudinal Prescription Claims (LRx)  and vaccinations administered in retail pharmacies (including chain, mass merchandise, food stores, and independent pharmacies). ± The projected physicians’ medical offices estimates are based on IQVIA’s Medical Claims (Dx).^  \n\n• Vaccinations administered in workplaces, community locations, long-term care settings, and other medical settings such as public health clinics are not represented in these data.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/52ds-xw49",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/ktzw-xbup",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "iqvia",
        "nis-acm",
        "rsv vaccination",
        "vsd",
        "iis"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/52ds-xw49/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/52ds-xw49",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/52ds-xw49/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/52ds-xw49",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/52ds-xw49/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/52ds-xw49/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/52ds-xw49",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/52ds-xw49/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians' Medical Offices, Adults 50 to 74 Years and 75 years and older, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/52ds-xw49",
        "description": "Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians' Medical Offices, Adults 50 to 74 Years and 75 years and older, United States - Dataset Home",
        "issued": "2025-11-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/ktzw-xbup",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Respiratory Syncytial Virus Laboratory Data (NREVSS)",
      "description": "Approximately 600 public health and clinical laboratories located throughout the United States, participate in surveillance for respiratory syncytial virus (RSV) through CDC's National Respiratory and Enteric Virus Surveillance System (NREVSS). The dataset contains a weekly summary of the total RSV tests and RSV detections reported to NREVSS. These data are reported on a voluntary basis. Clinical laboratories do not report demographic data through NREVSS. Testing practices and the number of participating laboratories may change from year to year. Results can be changed two years after the initial reporting week. However, discrepancies may be noted and updated at the discretion of the data stewards and key stakeholders.\n\nData are collected from collaborating university and community hospital laboratories, select states and county public health laboratories, and commercial laboratories. This information is submitted and updated on a weekly basis. \n\nWhile NREVSS strives to present the most precise national, regional and state respiratory viral trends with the least amount of burden possible for participating laboratories, there are a number of inherent limitations to this surveillance system. \n\nNREVSS does not collect patient-data or demographic information. Multiple samples may be collected from a single patient, so NREVSS results do not necessarily reflect the number of patients tested nor does it reflect hospitalizations or deaths related to a particular virus. \n\nParticipating laboratories vary in size, testing capabilities, and areas served. Some institutions may receive and test samples from sites across a given state or even from multiple states. Without direct knowledge of the population base, NREVSS cannot be used to determine the prevalence or incidence of infection.\n\n\nFor more information on RSV surveillance and research please visit: https://www.cdc.gov/surveillance/nrevss and https://www.cdc.gov/rsv/research/us-surveillance.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/52kb-ccu2",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Virologic Unit, Surveillance and Analytics Team",
          "hasEmail": "mailto:nrevss@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/8day-vcrj",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "bronchitis",
        "nrevss",
        "respiratory disease",
        "respiratory syncytial virus",
        "rsv",
        "ari",
        "bronchiolitis",
        "lri"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://www.cdc.gov/surveillance/nrevss/"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/52kb-ccu2/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/52kb-ccu2",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/52kb-ccu2/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/52kb-ccu2",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/52kb-ccu2/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/52kb-ccu2/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/52kb-ccu2",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/52kb-ccu2/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Respiratory Syncytial Virus Laboratory Data (NREVSS) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/52kb-ccu2",
        "description": "Respiratory Syncytial Virus Laboratory Data (NREVSS) - Dataset Home",
        "issued": "2022-10-21",
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            "name": "CDC"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis",
      "description": "NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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        "description": "NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis - Dataset Home",
        "issued": "2020-01-21",
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
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      "@id": "https://data.cdc.gov/api/views/53g5-jf7x",
      "identifier": "https://data.cdc.gov/api/views/53g5-jf7x",
      "title": "Provisional Percent of Deaths for COVID-19, Influenza, and RSV by Select Characteristics",
      "description": "This file contains the provisional percent of total deaths by week for COVID-19, Influenza, and Respiratory Syncytial Virus for deaths occurring among residents in the United States, by sex, age group, and race and Hispanic origin. Provisional data are based on non-final counts of deaths based on the flow of mortality data in National Vital Statistics System.",
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        "fn": "National Center for Health Statistics",
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      "publisher": {
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        "name": "National Center for Health Statistics (NCHS)",
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      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Provisional Percent of Deaths for COVID-19, Influenza, and RSV by Select Characteristics",
          "description": "This file contains the provisional percent of total deaths by week for COVID-19, Influenza, and Respiratory Syncytial Virus for deaths occurring among residents in the United States, by sex, age group, and race and Hispanic origin. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/53g5-jf7x",
          "modified": "2026-07-24"
        }
      ],
      "rights": [
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      ],
      "modified": "2026-07-24",
      "landingPage": {
        "@type": "Document",
        "title": "Provisional Percent of Deaths for COVID-19, Influenza, and RSV by Select Characteristics",
        "accessURL": "https://data.cdc.gov/d/53g5-jf7x"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Daily County-Level PM2.5 Concentrations 2001-2022",
      "description": "This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the county level for 2001-2022. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\n\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\n\nBy using these data, you signify your agreement to comply with the following requirements:\n1. Use the data for statistical reporting and analysis only.\n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.\n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.\n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.\n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.\n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/53mz-4zqd",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "Tracking Support",
          "hasEmail": "mailto:trackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/4zyv-yjue",
        "@type": "Organization",
        "name": "cak8@cdc.gov"
      },
      "keyword": [
        "particulate matter",
        "pm2.5",
        "national environmental health tracking network",
        "national ambient air quality standards",
        "environmental health",
        "asthma",
        "air quality",
        "air pollution"
      ],
      "modified": "2026-09-22",
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          "mediaType": "text/csv",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/53mz-4zqd/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/53mz-4zqd",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/53mz-4zqd/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/53mz-4zqd",
          "mediaType": "application/xml",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Daily County-Level PM2.5 Concentrations 2001-2022 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/53mz-4zqd",
        "description": "Daily County-Level PM2.5 Concentrations 2001-2022 - Dataset Home",
        "issued": "2026-04-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/4zyv-yjue",
            "@type": "Organization",
            "name": "cak8@cdc.gov"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "U. S. states"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rates of COVID-19 Cases or Deaths by Age Group and Updated (Bivalent) Booster Status",
      "description": "Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Updated (Bivalent) Booster Status.\nClick 'More' for important dataset description and footnotes\n\nWebpage: https://covid.cdc.gov/covid-data-tracker/#rates-by-vaccine-status\n\nDataset and data visualization details:\n\n\nThese data were posted and archived on May 30, 2023 and reflect cases among persons with a positive specimen collection date through April 22, 2023, and deaths among persons with a positive specimen collection date through April 1, 2023. These data will no longer be updated after May 2023.\n\nVaccination status: A person vaccinated with at least a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. A person vaccinated with a primary series and a monovalent booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably receiving a primary series of an FDA-authorized or approved vaccine and at least one additional dose of any monovalent FDA-authorized or approved COVID-19 vaccine on or after August 13, 2021. (Note: this definition does not distinguish between vaccine recipients who are immunocompromised and are receiving an additional dose versus those who are not immunocompromised and receiving a booster dose.) A person vaccinated with a primary series and an updated (bivalent) booster dose had SARS-CoV-2 RNA or antigen detected in a respiratory specimen collected ≥14 days after verifiably receiving a primary series of an FDA-authorized or approved vaccine and an additional dose of any bivalent FDA-authorized or approved vaccine COVID-19 vaccine on or after September 1, 2022. (Note: Doses with bivalent doses reported as first or second doses are classified as vaccinated with a bivalent booster dose.) People with primary series or a monovalent booster dose were combined in the “vaccinated without an updated booster” category. \n\nDeaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Per the interim guidance of the Council of State and Territorial Epidemiologists (CSTE), this should include persons whose death certificate lists COVID-19 disease or SARS-CoV-2 as the underlying cause of death or as a significant condition contributing to death. Rates of COVID-19 deaths by vaccination status are primarily reported based on when the patient was tested for COVID-19. In select jurisdictions, deaths are included that are not laboratory confirmed and are reported based on alternative dates (i.e., onset date for most; or date of death or report date, where onset date is unavailable). Deaths usually occur up to 30 days after COVID-19 diagnosis.\n\nParticipating jurisdictions: Currently, these 24 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Colorado, District of Columbia, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (NY), North Carolina, Rhode Island, Tennessee, Texas, Utah, and West Virginia; 23 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 48% of the total U.S. population and all ten of the Health and Human Services Regions. This list will be",
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      "identifier": "https://data.cdc.gov/api/views/54ys-qyzm",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "Vaccine Breakthrough/Surveillance and Analytics Team",
          "hasEmail": "mailto:vbtsurveillance@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/s8dk-zt6d",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
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        "covid-19 breakthrough",
        "covid-19 bivalent boosters",
        "covid-19 booster doses",
        "covid-19 deaths",
        "covid-19 cases"
      ],
      "modified": "2026-09-22",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/54ys-qyzm/export.csv?accessType=DOWNLOAD",
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          "mediaType": "application/json",
          "modified": "2026-09-22",
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Rates of COVID-19 Cases or Deaths by Age Group and Updated (Bivalent) Booster Status - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/54ys-qyzm",
        "description": "Rates of COVID-19 Cases or Deaths by Age Group and Updated (Bivalent) Booster Status - Dataset Home",
        "issued": "2023-03-17",
        "publisher": [
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        "prefLabel": "Select US Jurisdictions"
      },
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      ],
      "programCode": [
        "009:038"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2011 (Part 5 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 13 of 48 and corresponds to the time range between January 31, 2011, and February 7, 2011.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5522-8u8z",
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          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-10",
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          "downloadURL": "https://data.cdc.gov/download/5522-8u8z/application/x-zip-compressed",
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        }
      ],
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        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 5 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5522-8u8z",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 5 of 19) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
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      "programCode": [
        "009:034"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse",
      "description": "Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged 65 years\n\n• Estimated COVID-19 vaccination coverage among Medicare fee-for-service beneficiaries >65 years is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS). \n\n• Starting in July 2023, the CDC recommended the RSV vaccine to protect against serious illness from RSV. (https://www.cdc.gov/respiratory-viruses/whats-new/rsv-update-2023-09-22.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/55uq-699y",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "older adults",
        "rsv",
        "vaccination"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/55uq-699y/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/55uq-699y",
          "mediaType": "text/csv",
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        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/55uq-699y/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/55uq-699y",
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        },
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            "accessURL": "https://data.cdc.gov/api/views/55uq-699y/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/55uq-699y",
        "description": "Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse - Dataset Home",
        "issued": "2024-02-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
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        "@type": "Location",
        "prefLabel": "United States- National"
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      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
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        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2019-2021",
      "description": "2019 to 2021, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
      "accessLevel": "public",
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          "fn": "DHDSP Requests",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/a7ta-3b7u",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "heart",
        "counties",
        "cardiovascular disease",
        "cardiovascular",
        "heart disease",
        "county"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "modified": "2026-09-22"
        },
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          "accessURL": "https://data.cdc.gov/d/55yu-xksw",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/55yu-xksw/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/55yu-xksw",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
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          "mediaType": "application/geo+json",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/55yu-xksw/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/55yu-xksw",
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/55yu-xksw/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/55yu-xksw",
          "mediaType": "application/vnd.google-earth.kmz",
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        }
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        "@type": "Document",
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        "accessURL": "https://data.cdc.gov/d/55yu-xksw",
        "description": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2019-2021 - Dataset Home",
        "issued": "2024-02-23",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/a7ta-3b7u",
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            "name": "Centers for Disease Control and Prevention"
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        ]
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      "bureauCode": [
        "009:20"
      ],
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        "009:029"
      ],
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome",
      "description": "NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
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          "fn": "CDC INFO",
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      ],
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        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "streptococcal toxic shock syndrome",
        "nedss",
        "2020",
        "netss",
        "wonder",
        "nndss",
        "smallpox"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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          "accessURL": "https://data.cdc.gov/d/56mi-d4wu",
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          "accessURL": "https://data.cdc.gov/d/56mi-d4wu",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/56mi-d4wu/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/56mi-d4wu",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/56mi-d4wu/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/56mi-d4wu/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/56mi-d4wu",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/56mi-d4wu/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/56mi-d4wu",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/56mi-d4wu/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/56mi-d4wu",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/56mi-d4wu",
        "description": "NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Diabetes State Burden Toolkit - Economic Burden",
      "description": "This section of the Burden Toolkit reports the economic burden of diabetes in your state and consists of medical (direct) costs, indirect costs, and costs from the perspective of State Medicaid Programs, private insurers, and employers.\n\nData Sources: 2014 and 2021 National Health Expenditure Accounts (NHEA) from CMS. 2014 State Health Expenditure Accounts (SHEA) from CMS. 2022 Current Population Survey. 2021 Behavioral Risk Factor Surveillance Survey (BRFSS). 2015-2019 Medical Expenditure Panel Survey (MEPS). 2013-2021 National Health Interview Survey (NHIS), 2022. 2021 CDC Wonder. For detail, see the Technical Report: https://www.cdc.gov/diabetes/burden-toolkit/docs/technical_documentation.pdf",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/58s6-s24x",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DDT Public Inquiries",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "CDC UserSA"
      },
      "keyword": [
        "medicare spending",
        "presenteeism",
        "private insurance costs",
        "productivity losses",
        "state",
        "nursing home costs",
        "medical costs",
        "medicaid spending",
        "healthcare expenditures",
        "economic burden",
        "economic",
        "diabetes",
        "burden",
        "absenteeism",
        "mortality costs"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/58s6-s24x/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/58s6-s24x",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/58s6-s24x/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/58s6-s24x",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/58s6-s24x/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/58s6-s24x/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/58s6-s24x",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/58s6-s24x/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/58s6-s24x/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/58s6-s24x",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/58s6-s24x/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/58s6-s24x",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/58s6-s24x/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/58s6-s24x",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Diabetes State Burden Toolkit - Economic Burden - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/58s6-s24x",
        "description": "Diabetes State Burden Toolkit - Economic Burden - Dataset Home",
        "issued": "2025-10-27",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "CDC UserSA"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Behavior Risk Factor Surveillance System (BRFSS) Glossary and Methodology",
      "description": "Download the latest version of the Glossary and Methodology File",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5amh-5sx3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "methodology",
        "glossary"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/5amh-5sx3/application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "accessURL": "https://data.cdc.gov/d/5amh-5sx3",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Behavior Risk Factor Surveillance System (BRFSS) Glossary and Methodology - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5amh-5sx3",
        "description": "Behavior Risk Factor Surveillance System (BRFSS) Glossary and Methodology - Dataset Home",
        "issued": "2015-02-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Tuberculosis",
      "description": "NNDSS - Table II. Tuberculosis - 2019.  This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying WONDER data. Data on United States will exclude counts from US territories. \nFootnote: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable Cum: Cumulative year-to-date counts. Min: Minimum. Max: Maximum. \n* Case counts for reporting year 2018 and 2019 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf \n† Data for TB are displayed quarterly.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5avu-ff58",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5avu-ff58/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5avu-ff58",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5avu-ff58/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5avu-ff58",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5avu-ff58/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5avu-ff58/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5avu-ff58",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5avu-ff58/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5avu-ff58/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5avu-ff58",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5avu-ff58/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5avu-ff58",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5avu-ff58/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5avu-ff58",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Tuberculosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5avu-ff58",
        "description": "NNDSS - Table II. Tuberculosis - Dataset Home",
        "issued": "2019-04-12",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Lung Toxicity Profile of Inhaled Copper-Nickel Welding Fume in A/J Mice",
      "description": "The process of stainless steel welding creates fumes rich in carcinogenic metals such as chromium (Cr). Welding consumables devoid of Cr are being produced in attempt to limit worker exposures to potentially toxic and carcinogenic metals. The study objective was to characterize a copper-nickel (Cu-Ni) fume generated using gas metal arc welding (GMAW) and determine the pulmonary deposition and toxicity of the fume in mice exposed by inhalation. Male A/J mice (6 – 8 weeks of age) were exposed to air or Cu-Ni welding fumes for 2 (low deposition) or 4 (high deposition) hours/day for 10 days. Mice were sacrificed and bronchoalveolar lavage (BAL), macrophage function, and histopathological analysis were performed at various timepoints post-exposure to evaluate resolution. Characterization of the fume indicated that most of the particles were between 0.1 and 1 µm in diameter, with a mass median aerodynamic diameter of 0.43 µm. Metal content of the fume was primarily Cu (~76%) and Ni (~12%). After exposure, BAL macrophages had a reduced ability to phagocytose E. coli at 1 and 7 days and lung cytotoxicity was evident and significant (>12-19% fold change). Loss of body weight was also significant at these two early timepoints. Lung inflammation, the predominant lesion identified by histopathology, was observed as a subacute response early that progressively resolved by 28 days with only macrophage aggregates remaining late (84 days). Future studies are planned to investigate the tumorigenic potential of Cu-Ni fume in A/J mice.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5b7j-usbu",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Pathology and Physiology Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/5b7j-usbu/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/5b7j-usbu",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Lung Toxicity Profile of Inhaled Copper-Nickel Welding Fume in A/J Mice - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5b7j-usbu",
        "description": "Lung Toxicity Profile of Inhaled Copper-Nickel Welding Fume in A/J Mice - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Effects of antimicrobial chemical exposures on influenza vaccination and antiviral immunity",
      "description": "Healthcare workers concurrently may be at a higher risk of developing respiratory infections and allergic disease, such as asthma, than the general public. Increased incidence of allergic diseases is thought to be caused, in part, due to occupational exposure to chemicals that induce or augment Th2 immune responses. However, whether exposure to these chemical antimicrobials can influence immune responses to respiratory pathogens is unknown. Here, we use a BALB/c murine model to test if the Th2-promoting antimicrobial chemical triclosan influences immune responses to influenza A virus. Mice were dermally exposed to 2% triclosan for 7 days prior to infection with a sub-lethal dose of mouse adapted PR8 A(H1N1) virus (50 pfu); triclosan exposure continued until 10 days post infection (dpi). Infected mice exposed to triclosan did not show an increase in morbidity or mortality, and viral titers were unchanged. Assessment of T cell responses at 10 dpi showed a decrease in the number of total and activated (CD44hi) CD4+ and CD8+ T cells at the site of infection (BAL and lung) in triclosan exposed mice compared to controls. Influenza-specific CD4+ and CD8+ T cells were assessed using MHCI and MHCII tetramers, with reduced populations, although not reaching statistical significance at these sites following triclosan exposure. Reductions in the Th1 transcription factor T-bet were seen in both activated and tetramer+ CD4+ and CD8+ T cells in the lungs of triclosan exposed infected mice, indicating reduced Th1 polarization and providing a potential mechanism for numerical reduction in T cells. Overall, these results indicate that the immune environment induced by triclosan exposure has the potential to influence the developing immune response to a respiratory viral infection and may have implications for healthcare workers who may be at an increased risk for developing infectious diseases.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5bep-4fv6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Research, Allergy and Clinical Immunology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/5bep-4fv6/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/5bep-4fv6",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Effects of antimicrobial chemical exposures on influenza vaccination and antiviral immunity - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5bep-4fv6",
        "description": "Effects of antimicrobial chemical exposures on influenza vaccination and antiviral immunity - Dataset Home",
        "issued": "2024-11-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "V-safe COVID-19 Pandemic MedDRA coded text responses",
      "description": "Users of the V-safe data are required to adhere to the following standards for the analysis and reporting of research data. All research results must be presented and/or published in a manner that protects the confidentiality of participants. V-safe data will not be presented and/or published in any way in which an individual can be identified. \n\nTherefore, users will:\n<ol>\n<li>Not attempt to link or permit others to link the data with individually identified records in another database.</li>\n<li>Not attempt to learn the identity of any participant in the data and will not deliberately combine these data with other CDC or non-CDC data for the purpose of matching records to identify individuals. If you should inadvertently discover the identity of any participant, you will ensure the identity of any participant is kept confidential, and will not be used in any publications and/or presentations.</li>\n<li>Not imply or state, either in written or oral form, that interpretations based on analysis of the data reflect official CDC policies or positions.</li>\n<li>Understand that sub-national analyses are not appropriate for this national sample and will not be conducted. </li>\n<li>Understand that V-safe is a voluntary self-enrollment program requiring smartphone access; therefore, information from V-safe might not be representative or generalizable to the US population.</li></ol>\nBy clicking on the weblink below to download and use these V-safe data, you signify your agreement to comply with the above-stated terms.\n\nV-safe is an active surveillance program to monitor the safety of COVID-19 vaccines that are authorized for use under U.S. Food and Drug Administration (FDA) Emergency Use Authorization (EUA) and after FDA licensure.\n\nThese data include MedDRA coded text responses collected through V-safe from 12/13/2020 to 06/30/2023. Please review the V-safe data user agreement before analyzing any V-safe data.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5biu-jjj3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vsafe@cdc.gov",
          "hasEmail": "mailto:Vsafe@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/crne-bzv2",
        "@type": "Organization",
        "name": "v-safe"
      },
      "keyword": [
        "v-safe",
        "vaccine safety"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/5biu-jjj3/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/5biu-jjj3",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "V-safe COVID-19 Pandemic MedDRA coded text responses - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5biu-jjj3",
        "description": "V-safe COVID-19 Pandemic MedDRA coded text responses - Dataset Home",
        "issued": "2023-07-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/crne-bzv2",
            "@type": "Organization",
            "name": "v-safe"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:037"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Respiratory Virus Vaccination Data, Children 6 Months-17 Years and Adults 18 Years and Older, National Immunization Survey",
      "description": "*Vaccination data updates for the 2024-2025 respiratory illness season ended on May 2, 2025. \nThe weekly respiratory virus vaccination data come from the National Immunization Survey-Adult COVID Module (NIS-ACM), National Immunization Survey-Child COVID Module (NIS-CCM), and the National Immunization Survey-Flu (NIS-Flu). The NIS-ACM provides data on Influenza (flu), COVID-19, and RSV vaccination for adults aged ≥18 years in the United States. The NIS-CCM provides data on COVID-19 vaccination for children aged 6 months-17 years in the United States. The NIS-Flu provides data on Influenza vaccination for children aged 6 months-17 years in the United States National Immunization Survey data are collected by telephone interview using a random-digit-dialed sample of cellular telephone numbers stratified by state, the District of Columbia, five local jurisdictions (Bexar County TX, Chicago IL, Houston TX, New York City NY, and Philadelphia County PA), and Guam, Puerto Rico, and the United States Virgin Islands. Data are weighted to represent the non-institutionalized United States population and mitigate possible bias that can result from incomplete sample frame (exclusion of households with no phone service or only landline telephones) or non-response. All responses are self-reported, or reported by a parent for children 6 months-17 years. For more information about the surveys, see https://www.cdc.gov/vaccines/imz-managers/nis/about.html#current-surveys. Estimates should be interpreted with caution when there is a small sample size or wide confidence interval. ",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5c6r-xi2t",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "James Singleton",
          "hasEmail": "mailto:vaxview@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/g7yu-rfqd",
        "@type": "Organization",
        "name": "VYK7@cdc.gov"
      },
      "keyword": [
        "ncird",
        "nis-acm",
        "nis-ccm",
        "coronavirus",
        "covid19",
        "immunization",
        "vaccination-coverage",
        "vaccination",
        "rsv",
        "respiratory-virus-response"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5c6r-xi2t/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5c6r-xi2t",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5c6r-xi2t/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5c6r-xi2t",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5c6r-xi2t/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5c6r-xi2t/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5c6r-xi2t",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5c6r-xi2t/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Respiratory Virus Vaccination Data, Children 6 Months-17 Years and Adults 18 Years and Older, National Immunization Survey - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5c6r-xi2t",
        "description": "Weekly Respiratory Virus Vaccination Data, Children 6 Months-17 Years and Adults 18 Years and Older, National Immunization Survey - Dataset Home",
        "issued": "2023-11-09",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/g7yu-rfqd",
            "@type": "Organization",
            "name": "VYK7@cdc.gov"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "U.S."
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:037"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Commercially Available Filovirus Real-Time and Nested RT-PCR Assays",
      "description": "Please see the \"Commercially Available Real-Time and Nested RT-PCR Assays for Filovirus Detection Overview and Operational Considerations\" attachment for a description of the dataset. Two supplementary datasets are also included under attachments \"Regulatory-Emergency Use Status\" and \"Abbreviations and Notes\".",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5djz-e8qk",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "AMY SCHUH",
          "hasEmail": "mailto:wuc2@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/9csa-7yg2",
        "@type": "Organization",
        "name": "AMY SCHUH"
      },
      "modified": "2026-09-14",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5djz-e8qk/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5djz-e8qk",
          "mediaType": "text/csv",
          "modified": "2026-09-14"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5djz-e8qk/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5djz-e8qk",
          "mediaType": "application/json",
          "modified": "2026-09-14",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5djz-e8qk/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5djz-e8qk/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5djz-e8qk",
          "mediaType": "application/xml",
          "modified": "2026-09-14",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5djz-e8qk/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Commercially Available Filovirus Real-Time and Nested RT-PCR Assays - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5djz-e8qk",
        "description": "Commercially Available Filovirus Real-Time and Nested RT-PCR Assays - Dataset Home",
        "issued": "2026-09-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/9csa-7yg2",
            "@type": "Organization",
            "name": "AMY SCHUH"
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC Epidemic Trends and Rt",
      "description": "An archive of estimated trend categories, probabilities of epidemic growth, and Rt, updated weekly for COVID-19 and flu. Estimates are based on emergency department visits reported to the National Syndromic Surveillance Program (NSSP), and generated using a model that includes nowcasting to adjust for incomplete reports on the most recent dates. See the visuals supported by these data, and more information about the data, models and methods at https://www.cdc.gov/cfa-modeling-and-forecasting/rt-estimates/index.html, and https://www.cdc.gov/respiratory-viruses/data/activity-levels.html.\n\nFor a semi-technical overview of the modeling methods used to generate these estimates see https://www.cdc.gov/cfa-behind-the-model/php/data-research/rt-estimates/index.html.\n\nNote: On June 1, 2026 the modeling methods used to generate these estimates changed.\n\nFor `as_of` dates prior to 2026-06-01, estimates were generated using a semi-mechanistic Bayesian model run using the R package EpiNow2. Models were run independently in each state. Source code is available at https://github.com/CDCgov/cfa-epinow2-pipeline.\n\nFor `as_of` dates after 2026-06-01, estimates were generated using a hierarchical generalized additive model (HGAM) in which data were spatially partially pooled. Methods details are available at https://www.cdc.gov/cfa-behind-the-model/php/data-research/rt-estimates/index.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5dqz-y4ea",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Center for Forecasting and Outbreak Analytics",
          "hasEmail": "mailto:cfa@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/uwfi-yirr",
        "@type": "Organization",
        "name": "rjx2@cdc.gov"
      },
      "keyword": [
        "covid-19",
        "rt",
        "respiratory virus response",
        "modeling",
        "influenza",
        "flu",
        "coronavirus",
        "epidemic trend",
        "rvr",
        "cfa"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5dqz-y4ea/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5dqz-y4ea",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5dqz-y4ea/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5dqz-y4ea",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5dqz-y4ea/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5dqz-y4ea/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5dqz-y4ea",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5dqz-y4ea/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC Epidemic Trends and Rt - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5dqz-y4ea",
        "description": "CDC Epidemic Trends and Rt - Dataset Home",
        "issued": "2024-12-06",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/uwfi-yirr",
            "@type": "Organization",
            "name": "rjx2@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Chlamydia trachomatis infection to Coccidioidomycosis",
      "description": "NNDSS - Table II. Chlamydia trachomatis infection to Coccidioidomycosis - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5egk-p6rd",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "2018",
        "netss",
        "nedss",
        "coccidioidomycosis",
        "chlamydia trachomatis infection",
        "nndss",
        "wonder"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5egk-p6rd/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5egk-p6rd",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5egk-p6rd/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5egk-p6rd",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5egk-p6rd/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5egk-p6rd/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5egk-p6rd",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5egk-p6rd/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Chlamydia trachomatis infection to Coccidioidomycosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5egk-p6rd",
        "description": "NNDSS - Table II. Chlamydia trachomatis infection to Coccidioidomycosis - Dataset Home",
        "issued": "2019-01-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Behavioral Risk Factor Surveillance System (BRFSS) - Mental Health Indicators",
      "description": "<b>Data source description</b>: BRFSS measures health-related risk behaviors, chronic health conditions, and use of preventive services among U.S. adults through telephone interviews. BRFSS collects data in all 50 states as well as the District of Columbia and three U.S. territories of Guam, Puerto Rico, and U.S. Virgin Islands. Responses were used to produce estimates of experiences, behaviors, and conditions related to mental health and well-being for participating jurisdictions. Nationwide estimates are not available.  \n\n \n\n<b>For additional information, please see</b>: <a href = \"https://www.cdc.gov/mental-health/about-data/mental-health-data-sources.html\" target =\"_blank\">Mental Health Data Sources</a>.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5eh7-pjx8",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Mental Health Data Channel",
          "hasEmail": "mailto:mentalhealthdata@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cxhp-e5ei",
        "@type": "Organization",
        "name": "Mental Health Data Channel"
      },
      "keyword": [
        "mental health",
        "survey",
        "brfss",
        "behavioral risk factor"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5eh7-pjx8/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5eh7-pjx8",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5eh7-pjx8/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5eh7-pjx8",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5eh7-pjx8/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5eh7-pjx8/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5eh7-pjx8",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5eh7-pjx8/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Behavioral Risk Factor Surveillance System (BRFSS) - Mental Health Indicators - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5eh7-pjx8",
        "description": "Behavioral Risk Factor Surveillance System (BRFSS) - Mental Health Indicators - Dataset Home",
        "issued": "2026-01-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cxhp-e5ei",
            "@type": "Organization",
            "name": "Mental Health Data Channel"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "U.S."
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:033"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "BRFSS Prevalence And Trends Data: Health Care Access/Coverage for 2011",
      "description": "The 2011 BRFSS data reflects a change in weighting methodology (raking) and the addition of cell phone only respondents. Shifts in observed prevalence from 2010 to 2011 for BRFSS measures will likely reflect the new methods of measuring risk factors, rather than true trends in risk-factor prevalence. A break in trend lines after 2010 is used to reflect this change in methodolgy. Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements. For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm. Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5ekf-pmct",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/g3fc-zmqn",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "health care coverage",
        "heath care access",
        "adults",
        "brfss"
      ],
      "modified": "2026-08-17",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5ekf-pmct/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5ekf-pmct",
          "mediaType": "text/csv",
          "modified": "2026-08-17"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5ekf-pmct/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5ekf-pmct",
          "mediaType": "application/json",
          "modified": "2026-08-17",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5ekf-pmct/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5ekf-pmct/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5ekf-pmct",
          "mediaType": "application/xml",
          "modified": "2026-08-17",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5ekf-pmct/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5ekf-pmct/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5ekf-pmct",
          "mediaType": "application/geo+json",
          "modified": "2026-08-17"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5ekf-pmct/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5ekf-pmct",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-08-17"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5ekf-pmct/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5ekf-pmct",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-08-17"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "BRFSS Prevalence And Trends Data: Health Care Access/Coverage for 2011 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5ekf-pmct",
        "description": "BRFSS Prevalence And Trends Data: Health Care Access/Coverage for 2011 - Dataset Home",
        "issued": "2013-08-02",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/g3fc-zmqn",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Triplicate IRMA Influenza Calibration Data from 2015",
      "description": "Calibration data (NGS reads in FASTQ) from the IRMA manuscript used to refine variant calling. Data are available in triplicate for various mixture frequencies of two parent donor viruses with known single nucleotide variants. These data were used for calibrating and verifying single nucleotide variant calling data for Illumina sequencing of influenza genomes. See also: https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-016-3030-6",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5fpb-puxz",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Samuel Shepard",
          "hasEmail": "mailto:vfn4@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/wcn2-vvzk",
        "@type": "Organization",
        "name": "Samuel Shepard"
      },
      "keyword": [
        "influenza",
        "ncird",
        "cdc-influenza-division",
        "ncird-id"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-016-3030-6"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/5fpb-puxz/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/5fpb-puxz",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Triplicate IRMA Influenza Calibration Data from 2015 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5fpb-puxz",
        "description": "Triplicate IRMA Influenza Calibration Data from 2015 - Dataset Home",
        "issued": "2025-05-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/wcn2-vvzk",
            "@type": "Organization",
            "name": "Samuel Shepard"
          }
        ]
      },
      "license": "http://creativecommons.org/publicdomain/zero/1.0/legalcode",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table I. infrequently reported notifiable diseases",
      "description": "NNDSS - Table I. infrequently reported notifiable diseases - 2018. In this Table, provisional cases of selected infrequently reported notifiable diseases (<1,000 cases reported during the preceding year) are displayed.  This tables excludes U.S. territories.\n\nNotice:  The case counts for Haemophilus influenzae, invasive disease Nontypeable\" and \"Non-b serotype\" were switched for 2018 weeks 1-52.\n\nNote:\nThese are provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia are collated and published weekly on the NNDSS Data and Statistic web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\n\nFootnote:\n—: No reported cases. N: Not reportable. NA: Not available. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. \n\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  \n\n† This table does not include cases from the U.S. territories. \n\n§ Calculated by summing the incidence counts for the current week, the 2 weeks preceding the current week, and the 2 weeks following the current week, for a total of 5 preceding years. Additional information is available at https://wwwn.cdc.gov/nndss/document/5yearweeklyaverage.pdf.\n\n¶ Not reportable in all jurisdictions. Data from states where the condition is not reportable are excluded from this table, except for the arboviral diseases and influenza-associated pediatric mortality. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.\n\n** Please refer to the CDC WONDER for weekly updates to the footnote for this condition.   \n\n†† Please refer to the CDC WONDER for weekly updates to the footnote for this condition.  \n\n§§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses. With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2013 have been variant influenza viruses.\n\n¶¶ Prior to 2018, cases of paratyphoid fever were included with salmonellosis cases (see Table II). \n\n*** Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as \"viral hemorrhagic fevers'. NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5fyu-rtk3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nontypeable",
        "yellow fever",
        "wonder",
        "western equine encephalitis virus disease",
        "viral hemorrhagic fevers",
        "vancomycin-resistant staphylococcus aureus",
        "vancomycin-intermediate staphylococcus aureus",
        "unknown serotype",
        "unknown serogroups",
        "typhoid fever",
        "tularemia",
        "trichinellosis",
        "toxic shock syndrome (other than streptococcal)",
        "total",
        "syphilis",
        "streptococcal toxic s shock syndrome",
        "st. louis encephalitis virus disease",
        "smallpox",
        "serotype b",
        "serogroups acwy",
        "serogroup b",
        "sars-cov",
        "sabia virus",
        "rabies",
        "q fever",
        "psittacosis",
        "powassan virus disease",
        "poliovirus infection",
        "poliomyelitis",
        "plague",
        "perinatal infection",
        "paratyphoid fever",
        "paralytic",
        "other (wound & unspecified)",
        "other serogroups",
        "novel influenza a virus infections",
        "nonparalytic",
        "non-hantavirus pulmonary syndrome",
        "non-b serotype",
        "nndss",
        "neuroinvasive and nonneuroinvasive",
        "netss",
        "nedss",
        "meningococcal disease",
        "measles",
        "marburg virus",
        "machupo virus",
        "lujo virus",
        "listeriosis",
        "leptospirosis",
        "lassa virus",
        "la crosse virus disease",
        "junin virus",
        "jamestown canyon virus disease",
        "invasive disease (age <5 yrs)",
        "influenza-associated pediatric mortality",
        "infant",
        "human",
        "hepatitis b",
        "hemolytic uremic syndrome post-diarrheal",
        "hantavirus pulmonary syndrome",
        "hantavirus infection",
        "hansen's disease",
        "haemophilus influenzae",
        "guanarito virus",
        "foodborne",
        "ebola virus",
        "eastern equine encephalitis virus disease",
        "diphtheria",
        "cyclosporiasis",
        "crimean-congo hemorrhagic fever virus",
        "congenital",
        "chronic",
        "cholera",
        "chikungunya virus disease",
        "chancroid",
        "brucellosis",
        "botulism",
        "arboviral diseases",
        "anthrax",
        "acute",
        "2018"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5fyu-rtk3/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5fyu-rtk3",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5fyu-rtk3/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5fyu-rtk3",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5fyu-rtk3/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5fyu-rtk3/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5fyu-rtk3",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5fyu-rtk3/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table I. infrequently reported notifiable diseases - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5fyu-rtk3",
        "description": "NNDSS - Table I. infrequently reported notifiable diseases - Dataset Home",
        "issued": "2019-02-12",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/5h56-n989",
      "identifier": "https://data.cdc.gov/api/views/5h56-n989",
      "title": "U.S. Life Expectancy at Birth by State and Census Tract - 2010-2015",
      "description": "This dataset includes estimates of U.S. life expectancy at birth by state and census tract for the period 2010-2015 (1). Estimates were produced for 65,662 census tracts, covering the District of Columbia (D.C.) and all states, excluding Maine and Wisconsin, representing 88.7% of all U.S. census tracts (see notes).  These estimates are the result of the collaborative project, “U.S. Small-area Life Expectancy Estimates Project (USALEEP),” between the National Center for Health Statistics (NCHS), the National Association for Public Health Statistics and Information Systems (NAPHSIS), and the Robert Wood Johnson Foundation (RWJF) (2).",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "U.S. Life Expectancy at Birth by State and Census Tract - 2010-2015",
          "description": "This dataset includes estimates of U.S. life expectancy at birth by state and census tract for the period 2010-2015 (1). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/5h56-n989",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "U.S. Life Expectancy at Birth by State and Census Tract - 2010-2015",
        "accessURL": "https://www.cdc.gov/nchs/data-visualization/life-expectancy/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Tuberculosis Epidemiologic Studies Consortium (TBESC)-II Part A: Comparison of the Tuberculin Skin Test and Interferon-Gamma Release Assays in Diagnosing Infection with Mycobacterium tuberculosis and Prediction of Progression to Tuberculosis Disease",
      "description": "This was a head-to-head comparison of three FDA-approved tests for TB infection (Tuberculin Skin Test, QuantiFERON-TB Gold In-Tube, and T-SPOT.TB) in populations at high risk of latent TB infection and/or progression to TB disease.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5hpj-p74g",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Tuberculosis Epidemiologic Studies Consortium",
          "hasEmail": "mailto:tbesc3@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/72f5-3ksf",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "interferon gamma release assay (igra)",
        "t-spot.tb (tspot)",
        "tuberculosis",
        "tuberculin skin test (tst)",
        "quantiferon (qft)"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/5hpj-p74g/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/5hpj-p74g",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Tuberculosis Epidemiologic Studies Consortium (TBESC)-II Part A: Comparison of the Tuberculin Skin Test and Interferon-Gamma Release Assays in Diagnosing Infection with Mycobacterium tuberculosis and Prediction of Progression to Tuberculosis Disease - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5hpj-p74g",
        "description": "Tuberculosis Epidemiologic Studies Consortium (TBESC)-II Part A: Comparison of the Tuberculin Skin Test and Interferon-Gamma Release Assays in Diagnosing Infection with Mycobacterium tuberculosis and Prediction of Progression to Tuberculosis Disease - Dataset Home",
        "issued": "2024-03-20",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/72f5-3ksf",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:027"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1T. Invasive pneumococcal disease, Age<5 years, Confirmed to Legionellosis",
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        "description": "COVID-19 Vaccination Age and Sex Trends in the United States, National and Jurisdictional - Dataset Home",
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      "@type": "Dataset",
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      "description": "Because inventory reporting is no longer required, Vaccines.gov information will not be updated on this site after July 2024.",
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        "description": "Vaccines.gov: COVID-19 vaccinating provider locations - Dataset Home",
        "issued": "2023-10-17",
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    },
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        "marburg virus",
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        "viral hemorrhagic fevers"
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      "modified": "2026-09-09",
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        "@type": "Document",
        "title": "NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus - Dataset Home",
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    {
      "@type": "Dataset",
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      "description": "Rate of deaths by age/sex (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.\n\nUpdated on April 28, 2025, to comply with the President’s Executive Order 14168.",
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      "@type": "Dataset",
      "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 5 - Chicago",
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        "issued": "2019-01-03",
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        }
      ],
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      ],
      "modified": "2025-04-21",
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    {
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      "title": "CDC STATE System Tobacco Legislation Glossary and Methodology",
      "description": "Download the latest version of the Glossary and Methodology File",
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        "issued": "2015-01-21",
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      "contactPoint": [
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        "@type": "Organization",
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      "keyword": [
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      "modified": "2026-09-09",
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        "description": "Elk Creek Seismic Waveforms 2011 (Part 14 of 19) - Dataset Home",
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      "programCode": [
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    },
    {
      "@type": "Dataset",
      "title": "Influenza-related School Closures: USA, 2011-2022",
      "description": "Unplanned public K-12 school district and individual school closures due to influenza and influenza-like illness in the United States from August 1, 2011–June 30, 2022.",
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        "name": "Zviedrite"
      },
      "keyword": [
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        "community mitigation",
        "emergency preparedness",
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        "pandemic preparedness",
        "school closure"
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            "accessURL": "https://data.cdc.gov/api/views/5una-zw6e/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Influenza-related School Closures: USA, 2011-2022 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5una-zw6e",
        "description": "Influenza-related School Closures: USA, 2011-2022 - Dataset Home",
        "issued": "2024-05-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/gagd-5cdy",
            "@type": "Organization",
            "name": "Zviedrite"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States, 50 States and D.C."
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease",
      "description": "NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non U.S. residents.\n\nNotes:\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n•\tNotices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\nFootnotes:\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5wdd-3g8t",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "netss",
        "arboviral diseases",
        "nndss",
        "wonder",
        "chikungunya virus disease",
        "eastern equine encephalitis virus disease",
        "nedss",
        "2022",
        "anthrax"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5wdd-3g8t/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5wdd-3g8t",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5wdd-3g8t/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5wdd-3g8t",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5wdd-3g8t/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5wdd-3g8t/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5wdd-3g8t",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5wdd-3g8t/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5wdd-3g8t/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5wdd-3g8t",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5wdd-3g8t/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5wdd-3g8t",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5wdd-3g8t/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5wdd-3g8t",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5wdd-3g8t",
        "description": "NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis",
      "description": "NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5wqm-pm27",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nedss",
        "2019",
        "wonder",
        "shigellosis",
        "shiga toxin-producing escherichia coli",
        "severe acute respiratory syndrome-associated coronavirus disease",
        "nndss",
        "netss"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5wqm-pm27/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5wqm-pm27",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5wqm-pm27/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5wqm-pm27",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5wqm-pm27/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5wqm-pm27/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5wqm-pm27",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5wqm-pm27/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5wqm-pm27",
        "description": "NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2011 (Part 15 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 23 of 48 and corresponds to the time range between September 5, 2011, and September 26, 2011.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5xeh-g6yp",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/5xeh-g6yp/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/5xeh-g6yp",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 15 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5xeh-g6yp",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 15 of 19) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NORS",
      "description": "The National Outbreak Reporting System (NORS) is a web-based platform designed to support reporting to CDC by local, state, and territorial health departments in the United States of all waterborne disease outbreaks and enteric disease outbreaks transmitted by food, contact with environmental sources, infected persons or animals, or unknown modes of transmission.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5xkq-dg7x",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NORS Team",
          "hasEmail": "mailto:NORSDashboard@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/ggqg-y8ec",
        "@type": "Organization",
        "name": "Mary Wikswo"
      },
      "keyword": [
        "foodborne",
        "waterborne",
        "outbreak",
        "gastroenteritis"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5xkq-dg7x/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5xkq-dg7x",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5xkq-dg7x/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5xkq-dg7x",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5xkq-dg7x/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/5xkq-dg7x/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/5xkq-dg7x",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/5xkq-dg7x/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NORS - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5xkq-dg7x",
        "description": "NORS - Dataset Home",
        "issued": "2024-07-29",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/ggqg-y8ec",
            "@type": "Organization",
            "name": "Mary Wikswo"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Respirator Performance against Nanoparticles under Simulated Workplace Activities Data",
      "description": "Filtering facepiece respirators (FFRs) and elastomeric half-mask respirators (EHRs) are commonly used by workers for protection against potentially hazardous particles, including engineered nanoparticles (i.e., particles measuring less than 100 nanometers (nm). The purpose of this study was to evaluate the performance of these types of respirators against 10-400 nm particles using human subjects exposed to NaCl aerosols under simulated workplace activities. Simulated workplace protection factors (SWPFs) were measured for eight combinations of respirator models (2 N95 FFRs, 2 P100 FFRs, 2 N95 EHRs, and 2 P100 EHRs) worn by 25 healthy test subjects (13 females and 12 males) with varying face sizes. Before beginning a SWPF test for a given respirator model, each subject had to pass a quantitative fit test. Each SWPF test was performed using a protocol of six exercises for three minutes each: (i) normal breathing, (ii) deep breathing, (iii) moving head side to side, (iv) moving head up and down, (v) bending at th",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/5y75-rs75",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Personal Protective Technology Laboratory, Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/5y75-rs75/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/5y75-rs75",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Respirator Performance against Nanoparticles under Simulated Workplace Activities Data - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/5y75-rs75",
        "description": "Respirator Performance against Nanoparticles under Simulated Workplace Activities Data - Dataset Home",
        "issued": "2024-11-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Inconsequential Role for Chemerin-Like Receptor 1 in a Manifestation of Ozone-Induced Lung Pathophysiology in Male Mice",
      "description": "Chemerin, a non-chemokine chemoattractant, and resolvin E1 (RvE1), a specialized pro-resolving lipid mediator, are endogenous ligands for chemerin-like receptor 1 (CMKLR1), a Gi/o protein-coupled receptor expressed by leukocytes and non-leukocytes.  In mice, exogenous administration of chemerin or RvE1 diminishes the severity of lung inflammation and airway hyperresponsiveness (AHR) induced by antigen sensitization and challenge, which mimics phenotypic features of atopic asthma in humans.  However, the contribution of chemerin or RvE1 to features of non-atopic asthma is unknown.  Therefore, to indirectly assess if chemerin or RvE1 facilitates development of a non-atopic asthma phenotype, which includes AHR to acetyl-β-methylcholine chloride, lung hyperpermeability, airway epithelial cell desquamation, and lung inflammation, we quantified features of these sequelae in wild-type mice and mice failing to express CMKLR1 (CMKLR1-deficient mice) following cessation of acute inhalation exposure to either filtered room air or ozone, a criteria pollutant and non-atopic asthma stimulus.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/62a3-8df5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Pathology and Physiology Research Branch (PPRB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/62a3-8df5/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/62a3-8df5",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Inconsequential Role for Chemerin-Like Receptor 1 in a Manifestation of Ozone-Induced Lung Pathophysiology in Male Mice - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/62a3-8df5",
        "description": "Inconsequential Role for Chemerin-Like Receptor 1 in a Manifestation of Ozone-Induced Lung Pathophysiology in Male Mice - Dataset Home",
        "issued": "2024-12-30",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "U.S. State and Territorial Public Mask Mandates From April 10, 2020 through August 15, 2021 by County by Day",
      "description": "State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when members of the public in states and territories were subject to state and territorial executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require them to wear masks in public. “Members of the public” are defined as individuals operating in a personal capacity. “In public” is defined to mean either (1) anywhere outside the home or (2) both in retail businesses and in restaurants/food establishments. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level. \n\nThese data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require individuals to wear masks in public found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program, and Max Gakh, Assistant Professor, School of Public Health, University of Nevada, Las Vegas from April 10, 2020 through August 15, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the dates provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not include data on counties that have opted out of their state mask mandate pursuant to state law. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/62d6-pm5i",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Craig Kassinger",
          "hasEmail": "mailto:cak8@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/4zyv-yjue",
        "@type": "Organization",
        "name": "Environmental Public Health Tracking"
      },
      "keyword": [
        "covid-19",
        "social distancing",
        "executive order",
        "government order",
        "legal epidemiology",
        "mask mandates",
        "masks",
        "mitigation",
        "proclamation",
        "public health order"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/62d6-pm5i/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/62d6-pm5i",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/62d6-pm5i/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/62d6-pm5i",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/62d6-pm5i/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/62d6-pm5i/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/62d6-pm5i",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/62d6-pm5i/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "U.S. State and Territorial Public Mask Mandates From April 10, 2020 through August 15, 2021 by County by Day - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/62d6-pm5i",
        "description": "U.S. State and Territorial Public Mask Mandates From April 10, 2020 through August 15, 2021 by County by Day - Dataset Home",
        "issued": "2021-09-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/4zyv-yjue",
            "@type": "Organization",
            "name": "Environmental Public Health Tracking"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 , Confirmed to Invasive pneumococcal disease, age <5, Probable",
      "description": "NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 , Confirmed to Invasive pneumococcal disease, age <5, Probable  - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/62yv-gyiz",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "wonder",
        "2019",
        "age<5",
        "confirmed",
        "invasive pneumococcal disease",
        "nedss",
        "netss",
        "nndss",
        "probable"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/62yv-gyiz/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/62yv-gyiz",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/62yv-gyiz/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/62yv-gyiz",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/62yv-gyiz/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/62yv-gyiz/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/62yv-gyiz",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/62yv-gyiz/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 , Confirmed to Invasive pneumococcal disease, age <5, Probable - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/62yv-gyiz",
        "description": "NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 , Confirmed to Invasive pneumococcal disease, age <5, Probable - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2011 (Part 3 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 11 of 48 and corresponds to the time range between January 17, 2010, and January 24, 2011.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/637m-cvst",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/637m-cvst/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/637m-cvst",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 3 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/637m-cvst",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 3 of 19) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "U.S. State and Territorial Orders Closing and Reopening Restaurants Issued from March 11, 2020 through May 31, 2021 by County by Day",
      "description": "State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when restaurants in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data can be used to determine when restaurants in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.\n\nThese data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly close or reopen restaurants found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through May 31, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/647a-wjd2",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "T.J. Pierce",
          "hasEmail": "mailto:pwc2@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/qwcg-irwv",
        "@type": "Organization",
        "name": "Environmental Public Health Tracking"
      },
      "keyword": [
        "business closure",
        "social distancing",
        "mitigation",
        "government order",
        "public health order",
        "business reopening",
        "legal epidemiology",
        "proclamation",
        "covid-19",
        "executive order"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/647a-wjd2/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/647a-wjd2",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/647a-wjd2/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/647a-wjd2",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/647a-wjd2/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/647a-wjd2/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/647a-wjd2",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/647a-wjd2/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "U.S. State and Territorial Orders Closing and Reopening Restaurants Issued from March 11, 2020 through May 31, 2021 by County by Day - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/647a-wjd2",
        "description": "U.S. State and Territorial Orders Closing and Reopening Restaurants Issued from March 11, 2020 through May 31, 2021 by County by Day - Dataset Home",
        "issued": "2021-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/qwcg-irwv",
            "@type": "Organization",
            "name": "Environmental Public Health Tracking"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Dermal exposure to the immunomodulatory antimicrobial chemical triclosan alters the skin barrier integrity and microbiome in mice",
      "description": "Triclosan is an antimicrobial chemical used in healthcare settings that can be absorbed through the skin. Exposure to triclosan has been positively associated with food and aeroallergy and asthma exacerbation in humans and, although not directly sensitizing, has been demonstrated to augment the allergic response in a mouse model of asthma. The skin barrier and microbiome are thought to play important roles in mediating inflammation and allergy and disruptions may contribute to development of allergic disease. To investigate potential connections of the skin barrier and microbiome with immune responses to triclosan, SKH1 mice were dermally exposed to triclosan (0.5-2%) or vehicle for up to 7 consecutive days.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/64br-p84f",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Allergy and Clinical Immunology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/64br-p84f/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/64br-p84f",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Dermal exposure to the immunomodulatory antimicrobial chemical triclosan alters the skin barrier integrity and microbiome in mice - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/64br-p84f",
        "description": "Dermal exposure to the immunomodulatory antimicrobial chemical triclosan alters the skin barrier integrity and microbiome in mice - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/65mz-jvh5",
      "identifier": "https://data.cdc.gov/api/views/65mz-jvh5",
      "title": "AH Monthly Provisional Counts of Deaths for Select Causes of Death by Sex, Age, and Race and Hispanic Origin",
      "description": "Provisional counts of deaths by the month the deaths occurred, by age group, sex, and race/ethnicity, for select underlying causes of death for 2020-2021. Final data are provided for 2019. The dataset also includes monthly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Monthly Provisional Counts of Deaths for Select Causes of Death by Sex, Age, and Race and Hispanic Origin",
          "description": "Provisional counts of deaths by the month the deaths occurred, by age group, sex, and race/ethnicity, for select underlying causes of death for 2020-2021. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/65mz-jvh5",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Monthly Provisional Counts of Deaths for Select Causes of Death by Sex, Age, and Race and Hispanic Origin",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Hepatitis (viral, acute)",
      "description": "NNDSS - Table II. Hepatitis (viral, acute) - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/65xe-6neq",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "hepatitis (viral acute) type b",
        "hepatitis (viral acute)",
        "nedss",
        "mmwr",
        "netss",
        "nndss",
        "wonder",
        "hepatitis (viral acute) type c",
        "hepatitis (viral acute) type a",
        "2015",
        "hepatitis"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/65xe-6neq/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/65xe-6neq",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/65xe-6neq/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/65xe-6neq",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/65xe-6neq/columns.json",
            "title": "Columns for this asset"
          }
        },
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, Region 5 - Chicago - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/6i2x-3kw3",
        "description": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, Region 5 - Chicago - Dataset Home",
        "issued": "2016-10-18",
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          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
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            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary",
      "description": "NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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        "nndss",
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      ],
      "modified": "2026-09-10",
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        "issued": "2021-01-21",
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    },
    {
      "@type": "Dataset",
      "title": "COVID-NET Rates and Clinical Data",
      "description": "This dataset includes hospitalization rates and selected clinical characteristics from COVID-NET for laboratory-confirmed COVID-19-associated hospitalizations. The data can be used to examine hospitalization burden, patient characteristics, clinical outcomes, and trends over time across COVID-NET surveillance sites.\nData are preliminary and subject to change as more data become available. Data will be updated weekly.",
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      "identifier": "https://data.cdc.gov/api/views/6jg4-xsqq",
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        }
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        "name": "RESP-NET"
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        "covid-net",
        "covid",
        "covid19",
        "covid-19",
        "covidnet",
        "hospitalization rate",
        "hospitalizations",
        "rate",
        "rates by age group",
        "rates by race and ethnicity",
        "respiratory illness",
        "respiratory virus response",
        "respnet",
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      ],
      "modified": "2026-09-22",
      "distribution": [
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          "mediaType": "application/xml",
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            "title": "Columns for this asset"
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      ],
      "landingPage": {
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        "accessURL": "https://data.cdc.gov/d/6jg4-xsqq",
        "description": "COVID-NET Rates and Clinical Data - Dataset Home",
        "issued": "2026-07-07",
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            "name": "RESP-NET"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "COVID-NET Sites"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:038"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis",
      "description": "NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.  Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n* Case counts for reporting year 2016 are provisional and subject to change.   For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.\r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table II to facilitate case count verification with reporting jurisdictions.\r\n§ Illnesses with similar clinical presentation that result from Spotted fever group rickettsia infections are reported as Spotted fever rickettsioses.   Rocky Mountain spotted fever (RMSF) caused by Rickettsia rickettsii, is the most common and well-known spotted fever.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/6jgb-zrsp",
      "contactPoint": [
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
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        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
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        "wonder",
        "2016",
        "syphilis primary and secondary",
        "spotted fever rickettsiosis",
        "rmsf",
        "nndss",
        "netss",
        "nedss"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/6jgb-zrsp/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6jgb-zrsp",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
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          "accessURL": "https://data.cdc.gov/d/6jgb-zrsp",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/6jgb-zrsp",
        "description": "NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - Dataset Home",
        "issued": "2017-01-05",
        "publisher": [
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            "@type": "Organization",
            "name": "wja0@cdc.gov"
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      "bureauCode": [
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      ],
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: ZCTA Data (GIS Friendly Format), 2024 release",
      "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population counts, and American Community Survey (ACS) 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the Census 2021 ZCTA boundary file in a GIS system to produce maps for 40 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/6jwg-4k37",
      "contactPoint": [
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          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
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        "prevalence",
        "status",
        "places",
        "outcomes",
        "health",
        "gis",
        "disability",
        "behaviors",
        "zcta",
        "zip code",
        "prevention"
      ],
      "modified": "2026-09-22",
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        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-ZCTA-Data-GIS-Friendly-Format-2020-release/kee5-23sr"
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            "title": "Columns for this asset"
          }
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          "downloadURL": "https://data.cdc.gov/api/v3/views/6jwg-4k37/query.geojson?accessType=DOWNLOAD",
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          "modified": "2026-09-22"
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          "accessURL": "https://data.cdc.gov/d/6jwg-4k37",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6jwg-4k37/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6jwg-4k37",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: ZCTA Data (GIS Friendly Format), 2024 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/6jwg-4k37",
        "description": "PLACES: ZCTA Data (GIS Friendly Format), 2024 release - Dataset Home",
        "issued": "2025-12-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
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      ],
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human",
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      "modified": "2026-09-10",
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      ],
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        "title": "Standardized Precipitation Evapotranspiration Index, 1895-2016 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/6nbv-ifib",
        "description": "Standardized Precipitation Evapotranspiration Index, 1895-2016 - Dataset Home",
        "issued": "2018-07-26",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Cumulative Influenza Vaccination Coverage and Intent for Vaccination Among Adults 18 Years and Older by Age, Race/Ethnicity, and COVID-19 Vaccination and Intent, United States; IPSOS Knowledge Panel and NORC AmeriSpeak Omnibus Surveys.",
      "description": "National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention. Cumulative Influenza Vaccination Coverage and Intent for Vaccination Among Adults 18 Years and Older by Age, Race/Ethnicity, and COVID-19 Vaccination and Intent, United States; IPSOS Knowledge Panel and NORC AmeriSpeak Omnibus Surveys.",
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      "identifier": "https://data.cdc.gov/api/views/6p3a-6xr9",
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        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
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        "age",
        "age group",
        "covid-19 vaccination",
        "ethnicity",
        "flu",
        "influenza",
        "race",
        "vaccination",
        "vaccination coverage"
      ],
      "modified": "2026-09-22",
      "distribution": [
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        "issued": "2021-11-16",
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    },
    {
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      "@id": "https://data.cdc.gov/api/views/6pdm-py4x",
      "identifier": "https://data.cdc.gov/api/views/6pdm-py4x",
      "title": "DQS National Post-acute and Long-term Care Users",
      "description": "Health estimates of users of post-acute and long-term care in the United States. Search, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
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          "modified": "2026-07-15"
        }
      ],
      "rights": [
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    },
    {
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      "@id": "https://data.cdc.gov/api/views/6rkc-nb2q",
      "identifier": "https://data.cdc.gov/api/views/6rkc-nb2q",
      "title": "NCHS - Age-adjusted Death Rates for Selected Major Causes of Death",
      "description": "This dataset of U.S. mortality trends since 1900 highlights trends in age-adjusted death rates for five selected major causes of death.\n\nAge-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below).\n\nRevisions to the International Classification of Diseases (ICD) over time may result in discontinuities in cause-of-death trends.\n\nSOURCES\n\nCDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).\n\nREFERENCES\n\n1. National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm.\n\n2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.\n\n3. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf.\n\n4. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf.\n\n5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
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        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Age-adjusted Death Rates for Selected Major Causes of Death",
          "description": "This dataset of U.S. mortality trends since 1900 highlights trends in age-adjusted death rates for five selected major causes of death. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/6rkc-nb2q",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
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      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Age-adjusted Death Rates for Selected Major Causes of Death",
        "accessURL": "https://www.cdc.gov/nchs/data-visualization/mortality-trends/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Salmonellosis (excluding typhoid fever and paratyphoid fever) to Shigellosis",
      "description": "NNDSS - Table II. Salmonellosis (excluding typhoid fever and paratyphoid fever) to Shigellosis - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. FoFor further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  \r\n\r\n† Prior to 2018, cases of paratyphoid fever were included as salmonellosis, but beginning in 2018 they are being published as paratyphoid fever (see Table 1).",
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      "identifier": "https://data.cdc.gov/api/views/6rpz-c2y5",
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nndss",
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        "2018",
        "shigellosis",
        "shiga toxin-producing escherichia coli",
        "salmonellosis (excluding typhoid fever and paratyphoid fever)",
        "wonder"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/6rpz-c2y5/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6rpz-c2y5",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6rpz-c2y5/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6rpz-c2y5",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/6rpz-c2y5/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6rpz-c2y5/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6rpz-c2y5",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/6rpz-c2y5/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Salmonellosis (excluding typhoid fever and paratyphoid fever) to Shigellosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/6rpz-c2y5",
        "description": "NNDSS - Table II. Salmonellosis (excluding typhoid fever and paratyphoid fever) to Shigellosis - Dataset Home",
        "issued": "2019-01-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/6rvp-rahv",
      "identifier": "https://data.cdc.gov/api/views/6rvp-rahv",
      "title": "DQS NHANES Select Chronic Conditions Prevalence Estimates",
      "description": "These data represent prevalence estimates of select chronic conditions from the National Health and Nutrition Examination Survey (NHANES). This version of the dataset is specific for use by the NCHS DQS.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:dqs@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS NHANES Select Chronic Conditions Prevalence Estimates",
          "description": "These data represent prevalence estimates of select chronic conditions from the National Health and Nutrition Examination Survey (NHANES). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/6rvp-rahv",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS NHANES Select Chronic Conditions Prevalence Estimates",
        "accessURL": "https://www.cdc.gov/nchs/nhanes/visualization/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2021 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/6ryw-hetw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ARTINFO",
          "hasEmail": "mailto:ARTINFO@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/rxfz-prji",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "infertility",
        "success rates",
        "art",
        "fertility",
        "clinic",
        "services",
        "assisted reproductive technology"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://data.cdc.gov/dataset/2021-Final-Assisted-Reproductive-Technology-ART-Pa/6ryw-hetw"
      },
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/6ryw-hetw/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6ryw-hetw",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6ryw-hetw/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6ryw-hetw",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/6ryw-hetw/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6ryw-hetw/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6ryw-hetw",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/6ryw-hetw/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6ryw-hetw/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6ryw-hetw",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6ryw-hetw/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6ryw-hetw",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6ryw-hetw/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6ryw-hetw",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "2021 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/6ryw-hetw",
        "description": "2021 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics - Dataset Home",
        "issued": "2024-12-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/rxfz-prji",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/api/views/6svj-q4zv",
      "title": "Outpatient Respiratory Illness Activity Map",
      "description": "This dataset has been archived and will no longer be updated as of 10/16/2024. For updated data, please refer to the <a href=\"https://gis.cdc.gov/grasp/fluview/main.html\"><b>ILINet State Activity Indicator Map</b></a>.\n\nInformation on outpatient visits to health care providers for respiratory illness referred to as influenza-like illness (ILI) is collected through the U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet). ILINet consists of outpatient healthcare providers in all 50 states, Puerto Rico, the District of Columbia, and the U.S. Virgin Islands. More than 100 million patient visits were reported during the 2022-23 season. Each week, more than 3,000 outpatient health care providers around the country report to CDC the number of patient visits for ILI by age group (0-4 years, 5-24 years, 25-49 years, 50-64 years, and ≥65 years) and the total number of visits for any reason. A subset of providers also reports total visits by age group. For this system, ILI is defined as fever (temperature of 100°F [37.8°C] or greater) and a cough and/or a sore throat. Activity levels are based on the percent of outpatient visits due to ILI in a jurisdiction compared to the average percent of ILI visits that occur during weeks with little or no influenza virus circulation (non-influenza weeks) in that jurisdiction. The number of sites reporting each week is variable; therefore, baselines are adjusted each week based on which sites within each jurisdiction provide data. To perform this adjustment, provider level baseline ILI ratios are calculated for those that have a sufficient reporting history. Providers that do not have the required reporting history to calculate a provider-specific baseline are assigned the baseline ratio for their practice type. The jurisdiction level baseline is then calculated using a weighted sum of the baseline ratios for each contributing provider.\n\nThe activity levels compare the mean reported percent of visits due to ILI during the current week to the mean reported percent of visits due to ILI during non-influenza weeks. The 13 activity levels correspond to the number of standard deviations below, at, or above the mean for the current week compared with the mean during non-influenza weeks. Activity levels are classified as minimal (levels 1-3), low (levels 4-5), moderate (levels 6-7), high (levels 8-10), and very high (levels 11-13). An activity level of 1 corresponds to an ILI percentage below the mean, level 2 corresponds to an ILI percentage less than 1 standard deviation above the mean, level 3 corresponds to an ILI percentage more than 1 but less than 2 standard deviations above the mean, and so on, with an activity level of 10 corresponding to an ILI percentage 8 to 11 standard deviations above the mean. The very high levels correspond to an ILI percentage 12 to 15 standard deviations above the mean for level 11, 16 to 19 standard deviations above the mean for level 12, and 20 or more standard deviations above the mean for level 13.\n\nDisclaimers:\n\nThe ILI Activity Indicator map reflects the intensity of ILI activity, not the extent of geographic spread of ILI, within a jurisdiction. Therefore, outbreaks occurring in a single area could cause the entire jurisdiction to display high or very high activity levels. In addition, data collected in ILINet may disproportionally represent certain populations within a jurisdiction, and therefore, may not accurately depict the full picture of respiratory illness activity for the entire jurisdiction. Differences in the data presented here by CDC and independently by some health departments likely represent differing levels of data completeness with data presented by the health department likely being more complete.\n\nMore information is available on <a href=\"https://gis.cdc.gov/grasp/fluview/main.html\">FluView Interactive</a>.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-ID",
          "hasEmail": "mailto:fluviewsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD), Influenza Division (ID)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-10-11",
      "issued": "2023-09-26",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "ncird",
        "archive",
        "respiratory-virus-response",
        "ncird-id"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://data.cdc.gov/d/6svj-q4zv",
        "title": "data.cdc.gov"
      },
      "rights": [
        "Public Domain US Government"
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://data.cdc.gov/api/views/6svj-q4zv.json",
        "title": "data.cdc.gov"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae",
      "description": "NNDSS - Table II. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  \r\n\r\n† Data for carbapenemase-producing carbapenem-resistant Enterobacteriaceae (CP-CRE) will be displayed in this table after the CDC obtains Office of Management and Budget Paperwork Reduction Act approval to receive data for this condition.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/6tk5-h85s",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "klebsiella spp.",
        "nedss",
        "netss",
        "2018",
        "nndss",
        "carbapenemase-producing carbapenem-resistant enterobacteriaceae",
        "wonder",
        "enterobacter spp.",
        "escherichia coli"
      ],
      "modified": "2026-09-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6tk5-h85s/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6tk5-h85s",
          "mediaType": "text/csv",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6tk5-h85s/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6tk5-h85s",
          "mediaType": "application/json",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/6tk5-h85s/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6tk5-h85s/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6tk5-h85s",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/6tk5-h85s/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/6tk5-h85s",
        "description": "NNDSS - Table II. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae - Dataset Home",
        "issued": "2019-01-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/6tkz-y37d",
      "identifier": "https://data.cdc.gov/api/views/6tkz-y37d",
      "title": "NCHS - Birth Rates for Unmarried Women by Age, Race, and Hispanic Origin: United States",
      "description": "This dataset includes birth rates for unmarried women by age group, race, and Hispanic origin in the United States since 1970.\n\nMethods for collecting information on marital status changed over the reporting period and have been documented in:\n\n• Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf.\n• National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm.\n\nNational data on births by Hispanics origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; for New Hampshire and Oklahoma in 1990; for New Hampshire in 1991 and 1992. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see (ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf.)\n\nAll birth data by race before 1980 are based on race of the child. Starting in 1980, birth data by race are based on race of the mother.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:births@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Birth Rates for Unmarried Women by Age, Race, and Hispanic Origin: United States",
          "description": "This dataset includes birth rates for unmarried women by age group, race, and Hispanic origin in the United States since 1970. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/6tkz-y37d",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Birth Rates for Unmarried Women by Age, Race, and Hispanic Origin: United States",
        "accessURL": "https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 1 - Boston",
      "description": "Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/6tmq-h6uy",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "cdc",
        "centers for disease control and prevention"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6tmq-h6uy/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6tmq-h6uy",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6tmq-h6uy/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6tmq-h6uy",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/6tmq-h6uy/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6tmq-h6uy/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6tmq-h6uy",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/6tmq-h6uy/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6tmq-h6uy/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6tmq-h6uy",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6tmq-h6uy/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6tmq-h6uy",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6tmq-h6uy/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6tmq-h6uy",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 1 - Boston - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/6tmq-h6uy",
        "description": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 1 - Boston - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "@id": "https://data.cdc.gov/api/views/6tn6-vc33",
      "identifier": "https://data.cdc.gov/api/views/6tn6-vc33",
      "title": "DQS Cholesterol in adults age 20 and older, by selected characteristics: United States",
      "description": "Data on cholesterol in adults age 20 and older in the United States, by selected characteristics. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
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        "name": "National Center for Health Statistics (NCHS)",
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            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Cholesterol in adults age 20 and older, by selected characteristics: United States",
          "description": "Data on cholesterol in adults age 20 and older in the United States, by selected characteristics. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/6tn6-vc33",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Cholesterol in adults age 20 and older, by selected characteristics: United States",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human",
      "description": "NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/6uy5-4d9d",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
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        "animal",
        "nedss",
        "netss",
        "nndss",
        "rabies",
        "wonder",
        "2022"
      ],
      "modified": "2026-09-10",
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        },
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        }
      ],
      "landingPage": {
        "@type": "Document",
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        "accessURL": "https://data.cdc.gov/d/6uy5-4d9d",
        "description": "NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
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        ]
      },
      "bureauCode": [
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      ],
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        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "500 Cities: Local Data for Better Health, 2019 release",
      "description": "This is the complete dataset for the 500 Cities project 2019 release. This dataset includes 2017, 2016 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2017, 2016), Census Bureau 2010 census population data, and American Community Survey (ACS) 2013-2017, 2012-2016 estimates. Because some questions are only asked every other year in the BRFSS, there are 7 measures (all teeth lost, dental visits, mammograms, pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) from the 2016 BRFSS that are the same in the 2019 release as the previous 2018 release. More information about the methodology can be found at www.cdc.gov/500cities.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/6vp6-wxuq",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "500 Cities Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/r74h-6zta",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "behaviors",
        "census",
        "cities",
        "outcomes",
        "prevalence",
        "prevention",
        "tracts",
        "unhealthy",
        "500cities",
        "brfss"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/500-Cities/500-Cities-Local-Data-for-Better-Health-2017-relea/6vp6-wxuq"
      },
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/6vp6-wxuq/export.csv?accessType=DOWNLOAD",
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          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6vp6-wxuq/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6vp6-wxuq",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/6vp6-wxuq/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6vp6-wxuq/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6vp6-wxuq",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/6vp6-wxuq/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6vp6-wxuq/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6vp6-wxuq",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6vp6-wxuq/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6vp6-wxuq",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/6vp6-wxuq/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6vp6-wxuq",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "500 Cities: Local Data for Better Health, 2019 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/6vp6-wxuq",
        "description": "500 Cities: Local Data for Better Health, 2019 release - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/r74h-6zta",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/6vqh-esgs",
      "identifier": "https://data.cdc.gov/api/views/6vqh-esgs",
      "title": "AH County of Occurrence COVID-19 Death Counts, 2020 Provisional",
      "description": "Provisional count of deaths involving coronavirus disease 2019 (COVID-19) by United States county of occurrence, from January 1, 2020 through December 31, 2020.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH County of Occurrence COVID-19 Death Counts, 2020 Provisional",
          "description": "Provisional count of deaths involving coronavirus disease 2019 (COVID-19) by United States county of occurrence, from January 1, 2020 through December 31, 2020. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/6vqh-esgs",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH County of Occurrence COVID-19 Death Counts, 2020 Provisional",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/6vwk-ensg",
      "identifier": "https://data.cdc.gov/api/views/6vwk-ensg",
      "title": "DQS Estimate of Emergency Department Visits in the United States Footnotes",
      "description": "List of footnotes, notes, and source information for The National Hospital Ambulatory Medical Care Survey (NHAMCS). Each row of this dataset contains the accompanying text for a footnote found in NHAMCS dataset. The footnote lookup can be merged onto any NHAMCS dataset using, DATASET_SHORT_NAME, FN_ID, FN_TYPE, and FN_TEXT.\n\n\nSOURCE: National Center for Health Statistics CDC, The National Hospital Ambulatory Medical Care Survey (NHAMCS)",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Estimate of Emergency Department Visits in the United States Footnotes",
          "description": "List of footnotes, notes, and source information for The National Hospital Ambulatory Medical Care Survey (NHAMCS). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/6vwk-ensg",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Estimate of Emergency Department Visits in the United States Footnotes",
        "accessURL": "https://www.cdc.gov/nchs/ahcd/datasets_documentation_related.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Automated oil vapor inhalation exposure system",
      "description": "In August 2020 there were over 186,000 employees in the oil and gas extraction industry in the United States (United States Department of Labor. Bureau of Labor Statistics, 2020).  Many workers in the upstream oil extraction industry have potential risk of crude oil vapor (COV) inhalation.  There are many current knowledge gaps regarding the health effects from inhalation of complex mixtures found in crude oil vapors.  To aid research in filling these gaps, an automated system that could carefully deliver and control the COV concentration within an animal inhalation exposure chamber was needed.  The objective of this project was to develop an automated computer-controlled system to expose small laboratory animals to precise concentrations of crude oil vapor (COV).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/6wqg-8ykc",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Physical Effects Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/6wqg-8ykc/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/6wqg-8ykc",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Automated oil vapor inhalation exposure system - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/6wqg-8ykc",
        "description": "Automated oil vapor inhalation exposure system - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2016-2018",
      "description": "2016 to 2018, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/6x7h-usvx",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHDSP Requests",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/a7ta-3b7u",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "cardiovascular",
        "heart disease",
        "heart",
        "county",
        "counties",
        "cardiovascular disease"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/6x7h-usvx/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6x7h-usvx",
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          "modified": "2026-09-22"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/6x7h-usvx/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/6x7h-usvx",
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          "modified": "2026-09-22",
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          }
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          }
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2016-2018 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/6x7h-usvx",
        "description": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2016-2018 - Dataset Home",
        "issued": "2020-04-27",
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      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
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      "programCode": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1II. Tetanus to Trichinellosis",
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            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis",
      "description": "NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Illnesses with similar clinical presentation that result from Spotted Fever Group Rickettsia infections are reported as Spotted Fever Rickettsioses. Rocky Mountain Spotted Fever (RMSF), caused by Rickettsia rickettsii, is the most common and well-known Spotted Fever.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/75b3-73qi",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "syphilis primary and secondary",
        "nndss",
        "nedss",
        "mmwr",
        "wonder",
        "netss",
        "spotted fever rickettsiosis",
        "2017"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/75b3-73qi/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/75b3-73qi",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/75b3-73qi/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/75b3-73qi",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/75b3-73qi/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/75b3-73qi/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/75b3-73qi",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/75b3-73qi/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/75b3-73qi",
        "description": "NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - Dataset Home",
        "issued": "2018-01-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/75vb-d79q",
      "identifier": "https://data.cdc.gov/api/views/75vb-d79q",
      "title": "AH County of Residence COVID-19 Deaths Counts, 2020 Provisional",
      "description": "Provisional count of deaths involving coronavirus disease 2019 (COVID-19) by United States county of residence, from January 1, 2020 through December 31, 2020.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH County of Residence COVID-19 Deaths Counts, 2020 Provisional",
          "description": "Provisional count of deaths involving coronavirus disease 2019 (COVID-19) by United States county of residence, from January 1, 2020 through December 31, 2020. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/75vb-d79q",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH County of Residence COVID-19 Deaths Counts, 2020 Provisional",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Mouse pulmonary response following solid surface composite dust inhalation",
      "description": "Solid surface composites (SSCs) are a widely used construction material that can generate dust and volatile organic chemicals (VOCs) during fabrication. Exposure to SSC dust has been linked to pulmonary health effects, including pulmonary fibrosis and lung inflammation. Previous studies have investigated the toxicity of SSC particles using in vitro and in vivo models, but these studies have limitations. For example, they often relied on pre-generated particles that may not accurately represent the size distribution and characteristics of aerosols encountered in real-world settings. Additionally, these models did not capture the co-exposure to VOCs that can occur during SSC fabrication.\nTo address these limitations, we developed a novel apparatus capable of real-time generation of SSC sawing particles and their simultaneous delivery to rodents via whole-body inhalation. This approach allows for a more accurate assessment of SSC toxicity under conditions that better reflect workplace exposure scenarios. The present study utilizes this system to characterize the acute pulmonary response in mice following a 4-day inhalation exposure to real-time generated SSC aerosols, with evaluations at 1, 6, 27, and 56 days post-exposure.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/766v-ysx3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Pathology and Physiology Branch, Health Effects Laboratory Division",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/766v-ysx3/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/766v-ysx3",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Mouse pulmonary response following solid surface composite dust inhalation - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/766v-ysx3",
        "description": "Mouse pulmonary response following solid surface composite dust inhalation - Dataset Home",
        "issued": "2025-04-02",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Video-Based 3D pose estimation for residential roofing-dataset",
      "description": "To protect residential roofing construction workers from both fatal and musculoskeletal injuries, it is necessary to assess the musculoskeletal and biomechanical risks in residential roofing tasks. This undertaking requires accurate information of workers’ 3D body positions to analyze kinematics and kinetics of the human body. In this study, we proposed a novel 2- stage motion estimation approach based on a convolution neural network to estimate residential roofer’s body positions using three-view video data. Instead of pursuing end-to- end training, our approach includes two stages: (1) use a multi-view model to estimate the 3D pose in a single frame; (2) use a multi-frame model to apply temporal convolutions to refine the multi-view outputs. The performance of the approach was evaluated by comparing our estimation with the gold-standard marker-based 3D human pose estimation (“ground truth”). The evaluation results show that our marker-free video-based approach can accurately capture the 3D posture of workers during the common roofing task and the proposed multi-frame model can effectively improve the precision of the coordinate sequence. The values of mean per joint position error of estimated human position before and after processing by the multi-frame model are 27.93 and 24.81 mm, respectively. These results prove that the proposed marker-free motion capture estimation approach can efficiently and accurately locate 3D body joints and pave the way for future onsite musculoskeletal motion analysis during roofing activities.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/76u3-26ik",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Physical Effects Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/76u3-26ik/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/76u3-26ik",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Video-Based 3D pose estimation for residential roofing-dataset - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/76u3-26ik",
        "description": "Video-Based 3D pose estimation for residential roofing-dataset - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/76vv-a7x8",
      "identifier": "https://data.cdc.gov/api/views/76vv-a7x8",
      "title": "NCHS - VSRR Quarterly provisional estimates for selected birth indicators",
      "description": "Provisional estimates of selected reproductive indicators. Estimates are presented for: general fertility rates, age-specific birth rates, total and low risk cesarean delivery rates, preterm birth rates and other gestational age categories.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - VSRR Quarterly provisional estimates for selected birth indicators",
          "description": "Provisional estimates of selected reproductive indicators. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/76vv-a7x8",
          "modified": "2026-06-30"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-06-30",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - VSRR Quarterly provisional estimates for selected birth indicators",
        "accessURL": "https://www.cdc.gov/nchs/nvss/vsrr/natality.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2011 (Part 19 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 27 of 48 and corresponds to the time range between December 26, 2011, and January 2, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/77uj-93ii",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/77uj-93ii/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/77uj-93ii",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 19 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/77uj-93ii",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 19 of 19) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/7873-6w4v",
      "identifier": "https://data.cdc.gov/api/views/7873-6w4v",
      "title": "AH Provisional COVID-19 Deaths Counts by Health Service Area",
      "description": "Provisional count of deaths involving coronavirus disease 2019 (COVID-19) in the United States by health service area. Health service area is determined by the decedent's county of residence.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Provisional COVID-19 Deaths Counts by Health Service Area",
          "description": "Provisional count of deaths involving coronavirus disease 2019 (COVID-19) in the United States by health service area. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/7873-6w4v",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Provisional COVID-19 Deaths Counts by Health Service Area",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/7aq9-prdf",
      "identifier": "https://data.cdc.gov/api/views/7aq9-prdf",
      "title": "DQS Death rates for heart disease, by sex, race, Hispanic origin, and age: United States from CDC WONDER",
      "description": "Data on death rates for diseases of heart in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Death rates for heart disease, by sex, race, Hispanic origin, and age: United States from CDC WONDER",
          "description": "Data on death rates for diseases of heart in the United States, by age, sex, race, and Hispanic origin. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/7aq9-prdf",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Death rates for heart disease, by sex, race, Hispanic origin, and age: United States from CDC WONDER",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rates and Trends in Heart Disease and Stroke Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019",
      "description": "This dataset documents rates and trends in heart disease and stroke mortality. Specifically, this report presents county (or county equivalent) estimates of heart disease and stroke death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35–64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indian/Alaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (women, men). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7b9s-s8ck",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHDSP Requests",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/a7ta-3b7u",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "county",
        "heart",
        "counties",
        "cardiovascular disease",
        "cardiovascular",
        "heart disease",
        "stroke"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7b9s-s8ck/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7b9s-s8ck",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7b9s-s8ck/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7b9s-s8ck",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7b9s-s8ck/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7b9s-s8ck/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7b9s-s8ck",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7b9s-s8ck/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Rates and Trends in Heart Disease and Stroke Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7b9s-s8ck",
        "description": "Rates and Trends in Heart Disease and Stroke Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019 - Dataset Home",
        "issued": "2022-02-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/a7ta-3b7u",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: County Data (GIS Friendly Format), 2023 release",
      "description": "This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2021 or 2020 county population estimates, and American Community Survey (ACS) 2017–2021 or 2016–2020 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census 2020 county boundary file in a GIS system to produce maps for 36 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7cmc-7y5g",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "prevention",
        "prevalence",
        "behaviors",
        "disability",
        "status",
        "county",
        "gis",
        "health",
        "outcomes",
        "places",
        "risk"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/7cmc-7y5g/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7cmc-7y5g",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
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          "mediaType": "application/json",
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            "title": "Columns for this asset"
          }
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            "title": "Columns for this asset"
          }
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7cmc-7y5g/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7cmc-7y5g",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7cmc-7y5g/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7cmc-7y5g",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7cmc-7y5g/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7cmc-7y5g",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: County Data (GIS Friendly Format), 2023 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7cmc-7y5g",
        "description": "PLACES: County Data (GIS Friendly Format), 2023 release - Dataset Home",
        "issued": "2024-07-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
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      "bureauCode": [
        "009:20"
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        "009:020"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/7ctq-myvs",
      "identifier": "https://data.cdc.gov/api/views/7ctq-myvs",
      "title": "DQS NHIS Child Summary Health Statistics",
      "description": "Interactive Summary Health Statistics for Children provide annual estimates of selected health topics for children under age 18 years based on final data from the National Health Interview Survey. Search, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
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        "name": "National Center for Health Statistics (NCHS)",
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      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS NHIS Child Summary Health Statistics",
          "description": "Interactive Summary Health Statistics for Children provide annual estimates of selected health topics for children under age 18 years based on final data from the National Health Interview Survey. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/7ctq-myvs",
          "modified": "2026-07-16"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-16",
      "landingPage": {
        "@type": "Document",
        "title": "DQS NHIS Child Summary Health Statistics",
        "accessURL": "https://www.cdc.gov/nchs/nhis/products/data-query-systems.html"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly United States COVID-19 Hospitalization Metrics by Jurisdiction – ARCHIVED",
      "description": "<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.\n\nThis dataset represents weekly COVID-19 hospitalization data and metrics aggregated to national, state/territory, and regional levels. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.\n\n<b>Reporting information:</b><ul><li>As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS).</li><li>While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.</li><li>Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.</li><li>Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files.</li><li>Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf</li></ul>\n\n<b>Metric details:</b><ul><li><b>Time Period:</b> timeseries data will update weekly on Mondays as soon as they are reviewed and verified, usually before 8 pm ET. Updates will occur the following day when reporting coincides with a federal holiday. Note: Weekly updates might be delayed due to delays in reporting. All data are provisional. Because these provisional counts are subject to change, including updates to data reported previously, adjustments can occur. Data may be updated since original publication due to delays in reporting (to account for data received after a given Thursday publication) or data quality corrections.</li><li><b>New COVID-19 Hospital Admissions (count):</b> Number of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.</li><li><b>New COVID-19 Hospital Admissions (7-Day Average):</b> 7-day average of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.</li><li><b>Cumulative COVID-19 Hospital Admissions:</b> Cumulative total number of admissions of patients with labo",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7dk4-g6vg",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC-INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "inpatient beds",
        "hospitalizations",
        "hospital occupancy",
        "icu beds",
        "ncird-corvd",
        "covid-19",
        "hospital capacity",
        "coronavirus",
        "admissions"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7dk4-g6vg/export.csv?accessType=DOWNLOAD",
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          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7dk4-g6vg/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7dk4-g6vg",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7dk4-g6vg/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7dk4-g6vg/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7dk4-g6vg",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7dk4-g6vg/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly United States COVID-19 Hospitalization Metrics by Jurisdiction – ARCHIVED - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7dk4-g6vg",
        "description": "Weekly United States COVID-19 Hospitalization Metrics by Jurisdiction – ARCHIVED - Dataset Home",
        "issued": "2023-07-06",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 13 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 40 of 48 and corresponds to the time range between October 8, 2012, and October 15, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7e86-vpa7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/7e86-vpa7/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/7e86-vpa7",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 13 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7e86-vpa7",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 13 of 20) - Dataset Home",
        "issued": "2025-07-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus",
      "description": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as \"viral hemorrhagic fevers'. NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7ecz-2gu3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "viral hemorrhagic fevers",
        "nndss",
        "netss",
        "2019",
        "junin virus",
        "lassa virus",
        "lujo virus",
        "wonder",
        "nedss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7ecz-2gu3/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7ecz-2gu3",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7ecz-2gu3/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7ecz-2gu3",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7ecz-2gu3/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7ecz-2gu3/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7ecz-2gu3",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7ecz-2gu3/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7ecz-2gu3",
        "description": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Nerve agent exposure and physiological stress alter brain microstructure and immune profiles after inflammatory challenge in a long-term animal model of Gulf War Illness",
      "description": "Gulf War Illness (GWI) is a disorder experienced by one-third of the veterans of the 1990-91 Gulf War, with symptoms including fatigue, chronic pain, respiratory and memory problems. Exposure to toxic chemicals during the war, such as oil well fire smoke, pesticides, physiological stress, and nerve agents, is thought to have triggered abnormal neuroinflammatory responses that contribute to GWI. Previous studies using animal models have indicated that combined exposure to high physiological stress and GW-relevant organophosphates, such as sarin nerve agent and chlorpyrifos and dichlorvos, produces neuroinflammation and changes in diffusion magnetic resonance imaging (MRI) measures, suggesting a neuroimmune basis for GWI. In the current study, we examined brain structure and immune function of a chronic rat model of GWI and showed that a combination of long-term corticosterone treatment (CORT, to mimic high physiological stress) and diisopropyl fluorophosphate exposure (DFP, to mimic sarin exposure) resulted in elevations of multiple inflammatory cytokines, an increased activated microglial population, and disrupted brain microstructure in the hippocampal regions. Moreover, prior exposures to these agents modeling the “in-theater,” initiating exposure conditions experienced by veterans with GWI can induce long-term alterations in neuroimmune signaling, resulting in an exacerbated neuroinflammatory response to future immune challenges.  The goal of the study was to establish a long-term model of GWI in rats that would be more relevant to the current state of ill veterans.  As such, rats were initially exposed to the stress hormone corticosterone (CORT) for 1 week followed by a single exposure to the sarin surrogate diisopropyl fluorophosphate, to mimic “in-theater” conditions of high physiological stress and nerve agent exposure.  This initial exposure was followed up with 4 weeks of intermittent re-exposure to week-long bouts of CORT and a final exposure to the prototypical inflammagen, lipopolysaccharide (LPS) to mimic a systemic inflammatory challenge.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7ehz-refy",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Toxicology and Molecular Biology Branch, HELD",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/7ehz-refy/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/7ehz-refy",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Nerve agent exposure and physiological stress alter brain microstructure and immune profiles after inflammatory challenge in a long-term animal model of Gulf War Illness - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7ehz-refy",
        "description": "Nerve agent exposure and physiological stress alter brain microstructure and immune profiles after inflammatory challenge in a long-term animal model of Gulf War Illness - Dataset Home",
        "issued": "2024-12-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "TABLE III. Deaths in 122 U.S. cities",
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        "nedss",
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      ],
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      "@type": "Dataset",
      "title": "NNDSS - Table II. Chlamydia to Coccidioidomycosis",
      "description": "NNDSS - Table II. Chlamydia to Coccidioidomycosis - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\nU: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7mbm-jety",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "mmwr",
        "wonder",
        "nndss",
        "netss",
        "nedss",
        "coccidioidomycosis",
        "chlamydia trachomatis infection",
        "2017"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7mbm-jety/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7mbm-jety",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7mbm-jety/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7mbm-jety",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7mbm-jety/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7mbm-jety/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7mbm-jety",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7mbm-jety/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Chlamydia to Coccidioidomycosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7mbm-jety",
        "description": "NNDSS - Table II. Chlamydia to Coccidioidomycosis - Dataset Home",
        "issued": "2018-01-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State- COVID-19, Flu, RSV, Combined",
      "description": "2023 Respiratory Viruses Response – National Syndromic Surveillance Program Emergency Department Visit Trajectories - COVID-19, Flu, RSV, Combined – by state. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geography that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time both as of the given row date and as of the most current data submitted is characterized as increasing, decreasing or stable to provide awareness of how the weekly trend is changing for the given geographic region.\n\nFor the emergency department time series, trajectory classifications reported on the opening page are based on rolling regression model assessments of the slope for each respiratory illness. Weeks with a significant time term (p <0.05) are classified as increasing when the slope is positive and decreasing when the slope is negative. Weeks with a non-significant time term (p ≥ 0.05) are classified as stable. A 3-week moving average is applied to the time series prior to the regression procedure in order to smooth week-to-week variation. \n<br>\nFor additional information, please see:<a href=\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\n<br>\nUpdated once per week on Fridays.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7mra-9cq9",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Syndromic Surveillance Program",
          "hasEmail": "mailto:nssp@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/8e9u-wbfj",
        "@type": "Organization",
        "name": "Karl Soetebier"
      },
      "keyword": [
        "nssp",
        "ophdst",
        "respiratory-syncytial-virus",
        "emergency-department",
        "flu",
        "influenza",
        "respiratory-virus-response",
        "national-syndromic-surveillance-program",
        "ncird",
        "rsv",
        "rvr",
        "coronavirus",
        "covid19",
        "ed"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7mra-9cq9/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7mra-9cq9",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7mra-9cq9/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7mra-9cq9",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7mra-9cq9/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7mra-9cq9/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7mra-9cq9",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7mra-9cq9/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State- COVID-19, Flu, RSV, Combined - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7mra-9cq9",
        "description": "2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State- COVID-19, Flu, RSV, Combined - Dataset Home",
        "issued": "2023-11-16",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/8e9u-wbfj",
            "@type": "Organization",
            "name": "Karl Soetebier"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "U.S."
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2022-11-19",
          "endDate": "2024-02-03"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:037"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Infant Protection Against Respiratory Syncytial Virus (RSV) by Maternal RSV Vaccination or Receipt of RSV Monoclonal Antibody, and Intent for RSV Monoclonal Antibody Receipt Reported by Females Aged 18-49 Years Who Have an Infant <8 Months During the RSV",
      "description": "• Infant Protection Against RSV by Maternal RSV Vaccination or Receipt of Monoclonal Antibody, and Intent for RSV Monoclonal Antibody Receipt, Reported by Females Aged 18-49 Years Who Have an Infant <8 Months During the RSV Season (Born Since April 1, 2025), by Month of Interview\n\n• Monthly estimates of infant protection against RSV by maternal RSV vaccination or infant receipt of RSV monoclonal antibody (nirsevimab or clesrovimab), as well as intent for RSV monoclonal antibody receipt, were calculated using data from the National Immunization Surveys (NIS) – Fall Respiratory Virus Module (NIS–FRVM). The NIS–FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. Data were reported by adult females aged 18–49 years with infants under the age of 8 months during the RSV season (born since April 1, 2025). All estimates are based upon parent-reported receipt of RSV monoclonal antibody.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7nbz-eajm",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/ktzw-xbup",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "iqvia",
        "nis-acm",
        "iis",
        "cms",
        "rsv vaccination",
        "vsd"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7nbz-eajm/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7nbz-eajm",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7nbz-eajm/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7nbz-eajm",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7nbz-eajm/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7nbz-eajm/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7nbz-eajm",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7nbz-eajm/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Infant Protection Against Respiratory Syncytial Virus (RSV) by Maternal RSV Vaccination or Receipt of RSV Monoclonal Antibody, and Intent for RSV Monoclonal Antibody Receipt Reported by Females Aged 18-49 Years Who Have an Infant <8 Months During the RSV - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7nbz-eajm",
        "description": "Infant Protection Against Respiratory Syncytial Virus (RSV) by Maternal RSV Vaccination or Receipt of RSV Monoclonal Antibody, and Intent for RSV Monoclonal Antibody Receipt Reported by Females Aged 18-49 Years Who Have an Infant <8 Months During the RSV - Dataset Home",
        "issued": "2025-12-02",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/ktzw-xbup",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Nowcast Predictions for Local Transmission of Chikungunya Virus",
      "description": "Interactive visualization: http://www.cdc.gov/chikungunya/modeling/index.html. This dataset contains monthly predictions for the spread of chikungunya virus transmission. A full description of the methods is available at: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0104915.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7njk-uncd",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/8dgr-8c6s",
        "@type": "Organization",
        "name": "Michael"
      },
      "keyword": [
        "chikungunya",
        "travelers",
        "predictions",
        "americas"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7njk-uncd/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7njk-uncd",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7njk-uncd/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7njk-uncd",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7njk-uncd/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7njk-uncd/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7njk-uncd",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7njk-uncd/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Nowcast Predictions for Local Transmission of Chikungunya Virus - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7njk-uncd",
        "description": "Nowcast Predictions for Local Transmission of Chikungunya Virus - Dataset Home",
        "issued": "2015-08-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/8dgr-8c6s",
            "@type": "Organization",
            "name": "Michael"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "The Tax Burden on Tobacco, 1970-2019",
      "description": "1970-2019. Orzechowski and Walker. Tax Burden on Tobacco. Tax burden data was obtained from the annual compendium on tobacco revenue and industry statistics, The Tax Burden on Tobacco. Data are reported on an annual basis; Data include federal and state-level information regarding taxes applied to the price of a pack of cigarettes.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7nwe-3aj9",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "cigarette sales",
        "tax burden on tobacco",
        "tax",
        "osh",
        "office on smoking and health",
        "average cost per pack"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Policy/The-Tax-Burden-on-Tobacco-1970-2018/7nwe-3aj9"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7nwe-3aj9/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7nwe-3aj9",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7nwe-3aj9/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7nwe-3aj9",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7nwe-3aj9/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7nwe-3aj9/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7nwe-3aj9",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7nwe-3aj9/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7nwe-3aj9/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7nwe-3aj9",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7nwe-3aj9/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7nwe-3aj9",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7nwe-3aj9/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7nwe-3aj9",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The Tax Burden on Tobacco, 1970-2019 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7nwe-3aj9",
        "description": "The Tax Burden on Tobacco, 1970-2019 - Dataset Home",
        "issued": "2023-07-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Lyme disease to Meningococcal",
      "description": "NNDSS - Table II. Lyme disease to Meningococcal - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Data for meningococcal disease, invasive caused by serogroups ACWY; serogroup B; other serogroup; and unknown serogroup are available in Table I.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7pb7-w9us",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nndss",
        "all serogroups",
        "2015",
        "lyme disease",
        "wonder",
        "malaria",
        "meningococcal disease",
        "mmwr",
        "nedss",
        "invasive",
        "netss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7pb7-w9us/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7pb7-w9us",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7pb7-w9us/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7pb7-w9us",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/7pb7-w9us",
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          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Lyme disease to Meningococcal - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7pb7-w9us",
        "description": "NNDSS - Table II. Lyme disease to Meningococcal - Dataset Home",
        "issued": "2016-01-07",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/7pcd-2tnr",
      "identifier": "https://data.cdc.gov/api/views/7pcd-2tnr",
      "title": "NCHS - Pregnancy and Live Birth Rates, by Marital Status and Race and Hispanic Origin: United States, 1990-2010",
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      "contactPoint": {
        "@type": "vcard:Kind",
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        "hasEmail": "mailto:births@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
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        {
          "@type": "dcat:Distribution",
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          "description": "https://www.cdc.gov/nchs/data-visualization/births-to-unmarried-women/index.htm. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/7pcd-2tnr",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
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      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Pregnancy and Live Birth Rates, by Marital Status and Race and Hispanic Origin: United States, 1990-2010",
        "accessURL": "https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "United States COVID-19 County Level Data Sources - ARCHIVED",
      "description": "The Public Health Emergency (PHE) declaration for COVID-19 expired on May 11, 2023. As a result, the Aggregate Case and Death Surveillance System will be discontinued. Although these data will continue to be publicly available, this dataset will no longer be updated.\n\nOn October 20, 2022, CDC began retrieving aggregate case and death data from jurisdictional and state partners weekly instead of daily. \n\nThis dataset includes the URLs that were used by the aggregate county data collection process that compiled aggregate case and death counts by county. Within this file, each of the states (plus select jurisdictions and territories) are listed along with the county web sources which were used for pulling these numbers. Some states had a single statewide source for collecting the county data, while other states and local health jurisdictions may have had standalone sources for individual counties. In the cases where both local and state web sources were listed, a composite approach was taken so that the maximum value reported for a location from either source was used. The initial raw data were sourced from these links and ingested into the CDC aggregate county dataset before being published on the COVID Data Tracker.",
      "accessLevel": "public",
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      "contactPoint": [
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          "fn": "CDC-INFO",
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        }
      ],
      "publisher": {
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        "@type": "Organization",
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      },
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        "ncird-corvd",
        "aggregate county data",
        "cases"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
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          "modified": "2026-09-22"
        },
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          "accessURL": "https://data.cdc.gov/d/7pvw-pdbr",
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          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        }
      ],
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        "@type": "Document",
        "title": "United States COVID-19 County Level Data Sources - ARCHIVED - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7pvw-pdbr",
        "description": "United States COVID-19 County Level Data Sources - ARCHIVED - Dataset Home",
        "issued": "2022-05-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
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          }
        ]
      },
      "spatial": {
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      },
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        }
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        "009:020"
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      "inventoried": "2026-09-27"
    },
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      "title": "NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome",
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        }
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        "wonder",
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      ],
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            "title": "Columns for this asset"
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        },
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          "accessURL": "https://data.cdc.gov/d/7rci-qmm9",
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7rci-qmm9",
        "description": "NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC Text Corpora for Learners: MMWR, EID, and PCD Article Metadata",
      "description": "This landing page is part of the <a href=\"https://github.com/cmheilig/harvest-cdc-journals\">CDC Text Corpora for Learners</a> program; this includes the compiled 33,576 CDC Text for Learners <a href=\"https://data.cdc.gov/National-Center-for-State-Tribal-Local-and-Territo/CDC-Text-Corpora-for-Learners-HTML-Mirrors-of-MMWR/ut5n-bmc3/about_data\">HTML mirrors</a> of the MMWR <a href=\"https://www.cdc.gov/mmwr/\">Morbidity and Mortality Weekly Report</a> including its series: <i>Weekly Reports</i>, <i>Recommendations and Reports</i>, <i>Surveillance Summaries</i>, <i>Supplements</i>, and <i>Notifiable Diseases</i>, a subset of <i>Weekly Reports</i>, constructed ad hoc; EID <a href=\"https://www.cdc.gov/eid/\">Emerging Infectious Diseases</a>; and PCD <a href=\"https://www.cdc.gov/pcd/\">Preventing Chronic Disease</a>\n\nThe data represented here is the tabulated <a href=\"https://github.com/cmheilig/harvest-cdc-journals/blob/main/README.md#metadata-fields\">metadata</a> of the combined 33,567 articles of the  <a href=\"https://github.com/cmheilig/harvest-cdc-journals?tab=readme-ov-file#collections\">MMWR, EID, and PCD collections</a> whose contents are organized into three ZIP archived JSON files per collection. The JSON value output formats include UTF-8 HTML, UTF-8 markdown, and ASCII plain text.\n\nThe <a href=\"https://github.com/cmheilig/harvest-cdc-journals?tab=readme-ov-file#collections\">JSON files</a> are located in the <a href=\"https://github.com/cmheilig/harvest-cdc-journals\">program's repository.</a> This version was constructed on 2024-03-01 using source content retrieved on 2024-01-09.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7rih-tqi5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCSTLTPHIW(PHIC)",
          "hasEmail": "mailto:ahamm@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/4kqv-26ep",
        "@type": "Organization",
        "name": "Alan Hamm"
      },
      "keyword": [
        "corpora",
        "text analysis",
        "smokefree indoor air",
        "semantics",
        "phic",
        "ncstltphiw",
        "pcd",
        "morphology",
        "mmwr",
        "ml",
        "machine learning",
        "linguistics",
        "corpus",
        "data science",
        "eid",
        "harvest-cdc-journals",
        "informatics",
        "language"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://github.com/cmheilig/harvest-cdc-journals?tab=readme-ov-file#cdc-text-corpora-for-learners"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7rih-tqi5/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7rih-tqi5",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7rih-tqi5/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7rih-tqi5",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7rih-tqi5/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7rih-tqi5/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7rih-tqi5",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7rih-tqi5/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC Text Corpora for Learners: MMWR, EID, and PCD Article Metadata - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7rih-tqi5",
        "description": "CDC Text Corpora for Learners: MMWR, EID, and PCD Article Metadata - Dataset Home",
        "issued": "2024-03-20",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/4kqv-26ep",
            "@type": "Organization",
            "name": "Alan Hamm"
          }
        ]
      },
      "license": "http://creativecommons.org/publicdomain/zero/1.0/legalcode",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/7siw-u4fz",
      "identifier": "https://data.cdc.gov/api/views/7siw-u4fz",
      "title": "DQS Health care employment and wages, by selected occupations: United States",
      "description": "Data on health care employment and wages in the United States, by selected occupations. Data are from Health, United States. Source: U.S. Department of Labor, Bureau of Labor Statistics, Occupational Employment and Wage Statistics.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Health care employment and wages, by selected occupations: United States",
          "description": "Data on health care employment and wages in the United States, by selected occupations. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/7siw-u4fz",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Health care employment and wages, by selected occupations: United States",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "county-level ASD prevalence estimates",
      "description": "This table provides county-level prevalence for 2018 for seven US states using linked statewide health and education data. For full methods see:\nShaw KA, Williams S, Hughes MM, Warren Z, Bakian AV, Durkin MS, et al. Statewide county-level autism spectrum disorder prevalence estimates — seven U.S. states, 2018. Annals of Epidemiology. 2023 Jan 18; Available from: https://www.sciencedirect.com/science/article/pii/S1047279723000182",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7vg3-e5u2",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Kelly Shaw",
          "hasEmail": "mailto:nrb7@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/3qt5-wcsx",
        "@type": "Organization",
        "name": "NRB7@cdc.gov"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7vg3-e5u2/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7vg3-e5u2",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/7vg3-e5u2/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7vg3-e5u2",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7vg3-e5u2/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/7vg3-e5u2/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7vg3-e5u2",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7vg3-e5u2/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "county-level ASD prevalence estimates - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7vg3-e5u2",
        "description": "county-level ASD prevalence estimates - Dataset Home",
        "issued": "2023-01-25",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/3qt5-wcsx",
            "@type": "Organization",
            "name": "NRB7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:030"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Hepatitis (viral, acute)",
      "description": "NNDSS - Table II. Hepatitis (viral, acute) - 2016. In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n * Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n † Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7vnz-2mjz",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "wonder",
        "nndss",
        "netss",
        "nedss",
        "hepatitis (viral acute) type b",
        "hepatitis",
        "mmwr",
        "hepatitis (viral acute) type c",
        "hepatitis (viral acute)",
        "hepatitis (viral acute) type a",
        "2016"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7vnz-2mjz/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7vnz-2mjz",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7vnz-2mjz/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7vnz-2mjz",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7vnz-2mjz/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7vnz-2mjz/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7vnz-2mjz",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7vnz-2mjz/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Hepatitis (viral, acute) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7vnz-2mjz",
        "description": "NNDSS - Table II. Hepatitis (viral, acute) - Dataset Home",
        "issued": "2017-01-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Lipidomics Profiling of Inflammatory and Specialized Pro-resolving Mediators at the Junction of Inflammation-Resolution Transition in Mouse Lungs Exposed to Multiwalled Carbon Nanotubes",
      "description": "Multi-walled carbon nanotubes (MWCNTs) are new nanomaterials made of graphene sheets that role into multi-layer, concentric tubes. MWCNTs are airborne and resistant to natural and biological degradation. The potential that inhalation of MWCNTS at the workplace overtime causes lung injury and disease is a considerable health concern for exposed workers. Exposure to certain MWCNTs induces prominent acute inflammation with lung injury in laboratory animals. How fibrogenic MWCNTs instigate inflammation and how the interplay between inflammation and resolution of inflammation influences fibrotic development from exposure to MWCNTs have not been well understood. This study addressed these knowledge gaps by using a quantitative lipidomics approach to systematically profile inflammatory lipid mediators and specialized pro-resolving lipid mediators, major mediators of inflammation and resolution, respectively, at the junction of transition from acute inflammation to fibrotic progression in mouse lungs exposed to fibrogenic MWCNTs.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7xgi-7tmq",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Qiang Ma",
          "hasEmail": "mailto:qam1@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/u83t-x93e",
        "@type": "Organization",
        "name": "Garrett Burnett"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/7xgi-7tmq/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/7xgi-7tmq",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Lipidomics Profiling of Inflammatory and Specialized Pro-resolving Mediators at the Junction of Inflammation-Resolution Transition in Mouse Lungs Exposed to Multiwalled Carbon Nanotubes - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7xgi-7tmq",
        "description": "Lipidomics Profiling of Inflammatory and Specialized Pro-resolving Mediators at the Junction of Inflammation-Resolution Transition in Mouse Lungs Exposed to Multiwalled Carbon Nanotubes - Dataset Home",
        "issued": "2026-05-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/u83t-x93e",
            "@type": "Organization",
            "name": "Garrett Burnett"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1V. Malaria to Measles, Indigenous",
      "description": "NNDSS - TABLE 1V. Malaria to Measles, Indigenous - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a \"U\" indicating case counts are not available for specified time period. \n\nNotice:  Measles data for weeks 1-4 (in Table 1v) were updated on 02-28-2020 to correct the classification of imported and indigenous. For all weeks, measles is considered imported if the disease was acquired outside of the United States and is considered indigenous if the disease was acquired anywhere within the United States or it is not known where the disease was acquired.\n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\n§ Measles is considered imported if the disease was acquired outside of the United States and is considered indigenous if the disease was acquired anywhere within the United States or it is not known where the disease was acquired.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7xhe-mv2e",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "2020",
        "imported",
        "indigenous",
        "measles",
        "malaria",
        "nedss",
        "wonder",
        "nndss",
        "netss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7xhe-mv2e/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7xhe-mv2e",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7xhe-mv2e/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7xhe-mv2e",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7xhe-mv2e/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7xhe-mv2e/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7xhe-mv2e",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7xhe-mv2e/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7xhe-mv2e/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7xhe-mv2e",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7xhe-mv2e/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7xhe-mv2e",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7xhe-mv2e/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7xhe-mv2e",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1V. Malaria to Measles, Indigenous - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7xhe-mv2e",
        "description": "NNDSS - TABLE 1V. Malaria to Measles, Indigenous - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined – by Demographic Category",
      "description": "NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined – by Demographic Category \n\nFor additional information, please see: <a href=\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>.\n\nUpdated once per week on Fridays.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7xva-uux8",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Syndromic Surveillance Program",
          "hasEmail": "mailto:nssp@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/8e9u-wbfj",
        "@type": "Organization",
        "name": "Karl Soetebier"
      },
      "keyword": [
        "national syndromic surveillance program",
        "coronavirus",
        "covid19",
        "ed",
        "emergency department",
        "virus",
        "rvr",
        "rsv",
        "respiratory syncytial virus",
        "respiratory syncytial",
        "ophdst",
        "nssp",
        "ncird",
        "influenza",
        "flu"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7xva-uux8/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7xva-uux8",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7xva-uux8/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7xva-uux8",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7xva-uux8/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7xva-uux8/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7xva-uux8",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7xva-uux8/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined – by Demographic Category - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7xva-uux8",
        "description": "NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined – by Demographic Category - Dataset Home",
        "issued": "2023-09-27",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/8e9u-wbfj",
            "@type": "Organization",
            "name": "Karl Soetebier"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "U.S."
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2022-11-05",
          "endDate": "2024-02-17"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "U.S. State and Territorial Gathering Bans: March 11, 2020-August 15, 2021 by County by Day",
      "description": "State and territorial executive orders, administrative orders, resolutions, proclamations, and other official publicly available government communications are collected from government websites and cataloged and coded using Microsoft Excel by one or more coders with one or more additional coders conducting quality assurance.\n\nData were collected to determine when individuals in states and territories were subject to executive orders, administrative orders, resolutions, proclamations, and other official publicly available government communications related to  COVID-19 banning gatherings of various sizes either (1) generally, or specified that the gathering limit applied only when social distancing was not possible, or (2) even if participants practiced social distancing.\n\nThese data are derived from on the publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly ban gatherings found by the CDC, COVID-19 Community Intervention and Critical Populations Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through August 15, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded, as well as official government communications such as announcements that counties have progressed through new phases of reopening pursuant to an executive order, directive, or other executive branch action, and posted to government websites; news media reports on restrictions were excluded. Recommendations and guidance documents not included or adopted by reference in an order are not included in these data. These data do not include mandatory business closures, curfews, or requirements/recommendations for people to stay in their homes. Due to limitations of the National Environmental Public Health Tracking Network Data Explorer, these data do not include tribes or cities, nor was a distinction made between county orders that applied county-wide versus those that were limited to unincorporated areas of the county. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7xvh-y5vh",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Craig Kassinger",
          "hasEmail": "mailto:cak8@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/4zyv-yjue",
        "@type": "Organization",
        "name": "Environmental Public Health Tracking"
      },
      "keyword": [
        "covid-19",
        "proclamation",
        "executive order",
        "gathering bans",
        "government order",
        "legal epidemiology",
        "mitigation",
        "social distancing",
        "public health order"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7xvh-y5vh/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7xvh-y5vh",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7xvh-y5vh/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7xvh-y5vh",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7xvh-y5vh/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/7xvh-y5vh/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/7xvh-y5vh",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/7xvh-y5vh/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "U.S. State and Territorial Gathering Bans: March 11, 2020-August 15, 2021 by County by Day - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/7xvh-y5vh",
        "description": "U.S. State and Territorial Gathering Bans: March 11, 2020-August 15, 2021 by County by Day - Dataset Home",
        "issued": "2021-09-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/4zyv-yjue",
            "@type": "Organization",
            "name": "Environmental Public Health Tracking"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Historical Averages of Pollen Season Timing and Concentrations for Select United States Cities, 2003-2024",
      "description": "The National Allergy Bureau™ (NAB™) commonly provides grouped pollen levels rather than taxa-specific data. In this dataset, however, pollen data are provided as historical averages of pollen season timing and concentrations using data from the NAB. This is the first time pollen data at this level of detail has been made publicly available. Grass pollen metrics were excluded from selected products to align with NAB and CDC data-sharing policies.\n\nPollen concentrations are reported as pollen grains per cubic meter (PPCM) and provided for each year of data available. The pollen data are available from 2003 through 2024 and includes ready-to-use pollen measures including: main pollen season (MPS) start date, peak date, end date, season length, total seasonal pollen concentration (i.e., seasonal pollen integral), average seasonal pollen concentration, peak concentration, and the number of pollen observations per year. Data availability varies by year and pollen type for each NAB site. This dataset is part of a series of pollen datasets from the NAB, processed and standardized by the Division of Environmental Health Science and Practice (DEHSP), National Center for Environmental Health (NCEH), CDC. Further details about the pollen data, including collection, counting, and calculations, can be found here: https://www.mdpi.com/3954654",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/7xz4-qgju",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Arie Manangan",
          "hasEmail": "mailto:climateandhealth@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/k59p-qqrp",
        "@type": "Organization",
        "name": "Arie Manangan"
      },
      "keyword": [
        "allergy season",
        "allergic rhinitis",
        "allergen exposure",
        "air quality",
        "aeroallergens",
        "seasonal allergies",
        "tree pollen",
        "weed pollen",
        "environmental health",
        "hayfever",
        "high pollen days",
        "pollen",
        "pollen concentrations",
        "pollen count",
        "respiratory health",
        "asthma triggers",
        "allergy"
      ],
      "modified": "2026-09-23",
      "distribution": [
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      "title": "Weekly United States COVID-19 Hospitalization Metrics by County (Historical) – ARCHIVED",
      "description": "<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.\n\n<b>Note:</b>\n<b>May 3,2024:</b> Due to incomplete or missing hospital data received for the April 21,2024 through April 27, 2024 reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on May 3, 2024.\n\n\nThis dataset represents COVID-19 hospitalization data and metrics aggregated to county or county-equivalent, for all counties or county-equivalents (including territories) in the United States as of the initial date of reporting for each weekly metric. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.\n\n<b>Reporting information:</b><ul><li>As of December 15, 2022, COVID-19 hospital data are required to be reported to  NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS). </li><li>While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.</li><li>Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.  </li><li>Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files. </li> <li>Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf</li></ul>\n<b>Calculation of county-level hospital metrics:</b><ul><li>County-level hospital data are derived using calculations performed at the Health Service Area (HSA) level. An HSA is defined by CDC’s National Center for Health Statistics as a geographic area containing at least one county which is self-contained with respect to the population’s provision of routine hospital care. Every county in the United States is assigned to an HSA, and each HSA must contain at least one hospital. Therefore, use of HSAs in the calculation of local hospital metrics allows for more accurate characterization of the relationship between health care utilization and health status at the local level. </li><li>Data presented at the county-level represent admissions, hosp",
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      "description": "NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
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      "title": "Elk Creek Seismic Waveforms 2012 (Part 15 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 42 of 48 and corresponds to the time range between October 22, 2012, and October 29, 2012.",
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        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/download/82ug-d8mh/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/82ug-d8mh",
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 15 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/82ug-d8mh",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 15 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "United States COVID-19 County Level of Community Transmission as Originally Posted - ARCHIVED",
      "description": "On October 20, 2022, CDC began retrieving aggregate case and death data from jurisdictional and state partners weekly instead of daily. This dataset contains archived community transmission and related data elements by county as originally displayed on the COVID Data Tracker. Although these data will continue to be publicly available, this dataset has not been updated since October 20, 2022. An archived dataset containing weekly community transmission data by county as originally posted can also be found here: <a href=\"https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6\">Weekly COVID-19 County Level of Community Transmission as Originally Posted | Data | Centers for Disease Control and Prevention (cdc.gov)</a>. \n\n<b>Related data</b>\nCDC has been providing the public with two versions of COVID-19 county-level community transmission level data: this dataset with the daily values as originally posted on the COVID Data Tracker, and an historical dataset with daily data as well as the updates and corrections from state and local health departments. Similar to this dataset, the <a href=\"https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-of-Community-T/nra9-vzzn\">original historical dataset</a> is archived on 10/20/2022. It will continue to be publicly available but will no longer be updated. A new dataset containing historical community transmission data by county is now published weekly and can be found at: <a href=\"https://data.cdc.gov/dataset/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn\">Weekly COVID-19 County Level of Community Transmission Historical Changes | Data | Centers for Disease Control and Prevention (cdc.gov)</a>.\n\nThis public use dataset has 7 data elements reflecting community transmission levels for all available counties and jurisdictions. It contains reported daily transmission levels at the county level with the same values used to display transmission maps on the COVID Data Tracker. Each day, the dataset is appended to contain the most recent day's data. Transmission level is set to low, moderate, substantial, or high using the calculation rules below.\n\n<b>Methods for calculating county level of community transmission indicator</b>\nThe County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and <a href=\"https://www.cdc.gov/mmwr/volumes/70/wr/mm7030e2.htm?s_cid=mm7030e2_w#T1_down\">here</a>). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making.\n\n<b>CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2</b>\n\n<b>Total New Case Rate Metric:</b> \"New cases per 100,000 persons in the past 7 days\" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. \"New cases per 100,000 persons in the past 7 days\" is considered to have a transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00).\n\n<b>Test Percent Positivity Metric:</b> \"Percentage of positive NAAT in the past 7 days\" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests conducted over the last 7 days. \"Percentage of positive NAAT in the past 7 days\" is considered to have a transmission level of Low (less than 5.00); Moderate (5.00-7.99); Substantial (8.00-9.99); and High (greater than or equal to 10.00).\n\nIf",
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      ],
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        "@type": "Document",
        "title": "United States COVID-19 County Level of Community Transmission as Originally Posted - ARCHIVED - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8396-v7yb",
        "description": "United States COVID-19 County Level of Community Transmission as Originally Posted - ARCHIVED - Dataset Home",
        "issued": "2021-09-21",
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          "startDate": "2021-08-16",
          "endDate": "2022-10-19"
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      "license": "https://www.usa.gov/government-works",
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
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      "@id": "https://data.cdc.gov/api/views/83mw-v57c",
      "identifier": "https://data.cdc.gov/api/views/83mw-v57c",
      "title": "DQS NPALS Footnotes",
      "description": "List of footnotes, notes, and source information for NPALS Summary Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NPALS Datasets.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:dqs@cdc.gov"
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        "name": "National Center for Health Statistics (NCHS)",
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      "distribution": [
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          "title": "DQS NPALS Footnotes",
          "description": "List of footnotes, notes, and source information for NPALS Summary Statistics. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
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          "modified": "2026-07-15"
        }
      ],
      "rights": [
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      "modified": "2026-07-15",
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        "accessURL": "https://data.cdc.gov/d/83mw-v57c"
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    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States",
      "description": "Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States\n\n- Archived data are here:  https://data.cdc.gov/resource/uxgd-cqqc\n\n- CDC is exploring use of data obtained from IQVIA§ (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices.  \n \n- These projected pharmacy estimates include flu vaccinations that were billed for (i.e. claims) or paid by cash. Medical office projected estimates are claims-based only. \n \n- The sampled pharmacies and physician medical offices and the captured volume of transactions represent approximately 92% and 82% of influenza vaccines administered nationally, respectively. \n \n- Vaccinations administered in other settings such as workplaces and community settings are not included in these data. \n \n\n*National estimates for pharmacies and medical offices include vaccinations administered in 50 states and DC. National estimates for medical office vaccinations do not include doses where geographic information (i.e. which state the dose was administered in) was missing. Pharmacy data are through Friday of each week and medical office data are through Saturday of each week. Week ending dates for prior seasons are aligned with the current season’s week ending dates. \n\n§ 1) King, L. M., Bartoces, M., Fleming-Dutra, K. E., et. al, L. A. (2020). Changes in US outpatient antibiotic prescriptions from 2011–2016external icon. Clinical Infectious Diseases, 70(3), 370-377. 2) McLaughlin, J. M., Swerdlow, D. L., Khan, F., et. Al (2019). Disparities in uptake of 13-valent pneumococcal conjugate vaccine among older adults in the United Statesexternal icon. Human vaccines & immunotherapeutics, 15(4), 841-849.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/83ng-twza",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vax View",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "physician medical office vaccinations",
        "iqvia",
        "influenza",
        "flu",
        "vaccine coverage",
        "pharmacy vaccinations"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/83ng-twza/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/83ng-twza",
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        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/83ng-twza/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/83ng-twza",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/83ng-twza/columns.json",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/83ng-twza/query.xml?accessType=DOWNLOAD",
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            "title": "Columns for this asset"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/83ng-twza",
        "description": "Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States - Dataset Home",
        "issued": "2021-11-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
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        "@type": "Location",
        "prefLabel": "United States"
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Daily Census Tract-Level Ozone Concentrations, 2011-2015",
      "description": "This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\n\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\n\nBy using these data, you signify your agreement to comply with the following requirements:\n1. Use the data for statistical reporting and analysis only.\n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.\n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.\n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.\n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.\n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/847z-pxin",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Craig Kassinger",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/4zyv-yjue",
        "@type": "Organization",
        "name": "cak8@cdc.gov"
      },
      "keyword": [
        "environmental health",
        "air pollution",
        "ozone",
        "asthma"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/847z-pxin/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/847z-pxin",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/847z-pxin/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/847z-pxin",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/847z-pxin/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/847z-pxin/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/847z-pxin",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/847z-pxin/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Daily Census Tract-Level Ozone Concentrations, 2011-2015 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/847z-pxin",
        "description": "Daily Census Tract-Level Ozone Concentrations, 2011-2015 - Dataset Home",
        "issued": "2020-06-01",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/4zyv-yjue",
            "@type": "Organization",
            "name": "cak8@cdc.gov"
          }
        ]
      },
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        "009:20"
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      "programCode": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Lyme disease public use aggregated data with geography, 1992-2007",
      "description": "Overview: \nPublic health surveillance data are collected and reported voluntarily to CDC by U.S. states and territories through the National Notifiable Diseases Surveillance System (NNDSS) (https://www.cdc.gov/nndss/index.html). Data include demographic, clinical, and geographic information; data do not include direct identifiers. Two types of datasets of human Lyme disease case data collected through public health surveillance are available: one includes annual case count aggregated by county of residence according to specific demographic variables and one is line-listed with patient demographic factors, month of illness onset, and clinical presentation information but without corresponding geographic information. These privacy-protected datasets were implemented in accordance with methodology described in Lee et al. Protecting Privacy and Transforming COVID-19 Case Surveillance Datasets for Public Use. Public Health Rep. 2021 Sep-Oct;136(5):554-561. doi: 10.1177/00333549211026817. \n\nLyme disease became nationally notifiable in 1991. Different surveillance case definitions have been in effect over time; details are available here: https://ndc.services.cdc.gov/conditions/lyme-disease/. In 2008, a probable case definition was included in public health surveillance for the first time. In 2022, states with a high incidence of Lyme disease started reporting cases based on laboratory evidence alone without requirement for a clinical investigation, precluding comparison with historical data (for more information: https://www.cdc.gov/mmwr/volumes/73/wr/mm7306a1.htm?s_cid=mm7306a1_w). As such, Lyme disease surveillance data are grouped into separate datasets based on when these major changes occurred; data are provided for download separately for 1992–2007, 2008–2021, and 2022 to current. Data will be updated annually upon final verification of Lyme disease surveillance data by health departments. \n\nData Limitations:\nSurveillance data have significant limitations that must be considered in the analysis, interpretation, and reporting of results.  \n       1. Under-reporting and misclassification are features common to all surveillance systems. Not every case of Lyme disease is reported to CDC, and some cases that are reported may be reflect illness due to another cause.  \n       2. Please note that before the 2022 surveillance case definition went into effect, several states with high Lyme disease incidence had initiated alternative methods of surveillance and those data were not reportable to CDC.\n       3. Final case data are subject to each state’s abilities to capture and classify cases, which is dependent upon budget and personnel. This can vary not only between states, but also from year to year within a given state. Consequently, a sudden or marked change in reported cases does not necessarily represent a true change in disease incidence. Every effort should be made to construct analyses to limit overinterpretation of this variation (see the following reference for more context:  Kugeler KJ, Eisen RJ. Challenges in Predicting Lyme Disease Risk. JAMA Netw Open. 2020 Mar 2;3(3):e200328. doi: 10.1001/jamanetworkopen.2020.0328.)",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/84rx-ksgd",
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          "@type": "Kind",
          "fn": "Bacterial Diseases Branch Epidemiology & Surveillance Team",
          "hasEmail": "mailto:bdbepigroup@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/w6xk-sxm6",
        "@type": "Organization",
        "name": "xee5@cdc.gov"
      },
      "keyword": [
        "lyme disease",
        "surveillance"
      ],
      "modified": "2026-09-22",
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          "accessURL": "https://data.cdc.gov/d/84rx-ksgd",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
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            "title": "Columns for this asset"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Lyme disease public use aggregated data with geography, 1992-2007 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/84rx-ksgd",
        "description": "Lyme disease public use aggregated data with geography, 1992-2007 - Dataset Home",
        "issued": "2025-08-19",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/w6xk-sxm6",
            "@type": "Organization",
            "name": "xee5@cdc.gov"
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      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States of America"
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      "license": "https://www.usa.gov/government-works",
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      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NIOSH Health Hazard Evaluation Program Noise Measurement Database",
      "description": "This noise database was developed to provide researchers and other interested stakeholders with noise measurement results that the National Institute for Occupational Safety and Health (NIOSH) has collected during health hazard evaluation (HHE) surveys from 1996 through 2013. HHEs are requested by employees or their representatives, or employers, to help learn whether health hazards are present at their workplace. The scope of HHEs varies based on the requestors’ concerns and the NIOSH project officers’ professional judgment. Only noise measurement results are included in this database; however, many HHEs include evaluation of exposures other than noise. Individual HHE reports are published on the NIOSH website. When available, the database provides a direct link to the HHE report for each of the noise measurement results.\n\nThe noise database contains workplace noise measurement results from 77 HHE reports, including over 808 personal noise exposure measurements and 582 area noise measurements. It also includes the following information: U.S. state or territory; Occupational Safety and Health Administration (OSHA) region; National Occupational Research Agenda (NORA) sector; North American Industry Classification System (NAICS) code; facility description; type of dosimeter or sound level meter used; whether a hearing conservation program was in place; whether a hearing protection was used; whether octave band data was collected; job title; noise-generating activities; location of noise measurements; start and end date for site visit; type (full-shift, partial-shift, or task-based) and duration of noise measurement; type of noise (continuous, impulsive, or intermittent); exposure to ototoxic chemicals; and results in decibels A-weighted (dBA) and percent dose according to OSHA and NIOSH noise measurement criteria. This database is an ongoing project and will be updated at least yearly to add the most recent HHE noise measurement data.",
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      "identifier": "https://data.cdc.gov/api/views/87ea-ip25",
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          "hasEmail": "mailto:HHERequestHelp@cdc.gov"
        }
      ],
      "publisher": {
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        "@type": "Organization",
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        "description": "NIOSH Health Hazard Evaluation Program Noise Measurement Database - Dataset Home",
        "issued": "2024-11-14",
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      "programCode": [
        "009:034"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC STATE System E-Cigarette Legislation - Preemption Summary",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation – Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to summary state preemption of more stringent or differing local laws on smokefree indoor air, youth access and licensure that are applicable to e-cigarettes.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/88eg-qzed",
      "contactPoint": [
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          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "e-cigarette",
        "tobacco",
        "state system",
        "preemption",
        "policy",
        "osh",
        "legislation"
      ],
      "modified": "2026-09-23",
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            "title": "Columns for this asset"
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          "downloadURL": "https://data.cdc.gov/api/v3/views/88eg-qzed/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/88eg-qzed",
          "mediaType": "application/geo+json",
          "modified": "2026-09-23"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/88eg-qzed/export.kml?accessType=DOWNLOAD",
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          "modified": "2026-09-23"
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          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/88eg-qzed",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC STATE System E-Cigarette Legislation - Preemption Summary - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/88eg-qzed",
        "description": "CDC STATE System E-Cigarette Legislation - Preemption Summary - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region",
      "description": "Monthly COVID-19 death rates per 100,000 population stratified by age group, race/ethnicity, sex, and region",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/89qs-mr7i",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC-INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "CDC/NCIRD/CORVD"
      },
      "keyword": [
        "mortality",
        "deaths",
        "covid-19",
        "coronavirus",
        "ncird-corvd",
        "demographics"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/89qs-mr7i",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
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          "accessURL": "https://data.cdc.gov/d/89qs-mr7i",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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          }
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/89qs-mr7i",
        "description": "Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region - Dataset Home",
        "issued": "2023-11-21",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "CDC/NCIRD/CORVD"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/89yk-m38d",
      "identifier": "https://data.cdc.gov/api/views/89yk-m38d",
      "title": "NCHS - Natality Measures for Females by Race and Hispanic Origin: United States",
      "description": "This dataset includes live births, birth rates, and fertility rates by race of mother in the United States since 1960.\n\nData availability varies by race and ethnicity groups. All birth data by race before 1980 are based on race of the child. Since 1980, birth data by race are based on race of the mother. For race, data are available for Black and White births since 1960, and for American Indians/Alaska Native and Asian/Pacific Islander births since 1980. Data on Hispanic origin are available since 1989. Teen birth rates for specific racial and ethnic categories are also available since 1989. From 2003 through 2015, the birth data by race were based on the “bridged” race categories (5). Starting in 2016, the race categories for reporting birth data changed; the new race and Hispanic origin categories are: Non-Hispanic, Single Race White; Non-Hispanic, Single Race Black; Non-Hispanic, Single Race American Indian/Alaska Native; Non-Hispanic, Single Race Asian; and, Non-Hispanic, Single Race Native Hawaiian/Pacific Islander (5,6). Birth data by the prior, “bridged” race (and Hispanic origin) categories are included through 2018 for comparison.\n\nSOURCES\n\nNCHS, National Vital Statistics System, birth data (see https://www.cdc.gov/nchs/births.htm); public-use data files (see https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm); and CDC WONDER (see http://wonder.cdc.gov/).\n\nREFERENCES\n\n1. National Office of Vital Statistics. Vital Statistics of the United States, 1950, Volume I. 1954. Available from: https://www.cdc.gov/nchs/data/vsus/vsus_1950_1.pdf.\n\n2. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. Available from: https://www.cdc.gov/nchs/data/misc/usvss.pdf.\n\n3. National Center for Health Statistics. Vital Statistics of the United States, 1967, Volume I–Natality. 1969. Available from: https://www.cdc.gov/nchs/data/vsus/nat67_1.pdf.\n\n4. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf.\n\n5. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final data for 2016. National Vital Statistics Reports; vol 67 no 1. Hyattsville, MD: National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nvsr/nvsr67/nvsr67_01.pdf.\n\n6. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Births: Final data for 2018. National vital statistics reports; vol 68 no 13. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_13.pdf.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:births@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Natality Measures for Females by Race and Hispanic Origin: United States",
          "description": "This dataset includes live births, birth rates, and fertility rates by race of mother in the United States since 1960. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/89yk-m38d",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
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        "@type": "Document",
        "title": "NCHS - Natality Measures for Females by Race and Hispanic Origin: United States",
        "accessURL": "https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Monthly Nirsevimab Receipt and Intent Among Females Aged 18-49 Years Who Have a Baby <8 Months, Are Currently Pregnant, or Are Trying to Get Pregnant, United States",
      "description": "Monthly Nirsevimab Receipt and Intent Among Females Aged 18-49 Years Who Have a Baby <8 Months, Are Currently Pregnant, or Are Trying to Get Pregnant. \n\n• Using data from the National Immunization Survey-Adult COVID Module (NIS-ACM), monthly estimates of receipt and intent for baby’s receipt of nirsevimab reported by females aged 18-49 years with infants under the age of 8 months, females aged 18-49 years who are currently pregnant, and females aged 18-49 years who are currently trying to get pregnant. \n\n• The NIS-ACM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8ame-63pc",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "rsv vaccination",
        "pregnancy",
        "nis-acm"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/8ame-63pc/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8ame-63pc",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/8ame-63pc/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8ame-63pc",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/8ame-63pc/columns.json",
            "title": "Columns for this asset"
          }
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          "accessURL": "https://data.cdc.gov/d/8ame-63pc",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Monthly Nirsevimab Receipt and Intent Among Females Aged 18-49 Years Who Have a Baby <8 Months, Are Currently Pregnant, or Are Trying to Get Pregnant, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8ame-63pc",
        "description": "Monthly Nirsevimab Receipt and Intent Among Females Aged 18-49 Years Who Have a Baby <8 Months, Are Currently Pregnant, or Are Trying to Get Pregnant, United States - Dataset Home",
        "issued": "2024-01-10",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Active Bacterial Core surveillance (ABCs) Neisseria meningitidis",
      "description": "<p>ABCs is an ongoing surveillance program that began in 1997. <a href=\"https://www.cdc.gov/abcs/reports/index.html\">ABCs reports</a> describe the ABCs case definition and the specific methodology used to calculate rates and estimated numbers in the United States for each bacterium by year.  The methods, <a href=\"https://www.cdc.gov/abcs/about/surv-areas-and-populations.html\">surveillance areas</a>, and <a href=https://www.cdc.gov/abcs/about/surv-areas-and-populations.html#Surveillance%20population%20and%20isolate%20collection\">laboratory isolate collection areas</a> have changed over time.\n                Additionally, the way missing data are taken into account changed in 2010.  It went from distributing unknown values based on known values of cases by site to use of multiple imputation using a sequential regression imputation method.\n                Given these changes over time, trends should be interpreted with caution.\n<ul> <li> <a href=\"http://www.cdc.gov/abcs/methodology/index.html\">Methodology</a>\nFind details about surveillance population, case determination, surveillance evaluation, and more. </li>                    <li> <a href=\"https://www.cdc.gov/abcs/reports/index.html\">Reports and Findings</a>\nGet official interpretations from reports and publications created from ABCs data. </li>\n  </ul>",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8bda-nhxv",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Active Bacterial Core Surveillance",
          "hasEmail": "mailto:abcs@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/wnru-jmaq",
        "@type": "Organization",
        "name": "Active Bacterial Core Surveillance"
      },
      "keyword": [
        "abcs",
        "bactfacts"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8bda-nhxv/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8bda-nhxv",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8bda-nhxv/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8bda-nhxv",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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          }
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/8bda-nhxv/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8bda-nhxv",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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      "landingPage": {
        "@type": "Document",
        "title": "Active Bacterial Core surveillance (ABCs) Neisseria meningitidis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8bda-nhxv",
        "description": "Active Bacterial Core surveillance (ABCs) Neisseria meningitidis - Dataset Home",
        "issued": "2021-06-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/wnru-jmaq",
            "@type": "Organization",
            "name": "Active Bacterial Core Surveillance"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "In vitro toxicity assessment of pre- and post-incinerated organomodified nanoclays on airway epithelial and lung fibroblast cells",
      "description": "Use of two-dimensional organomodified nanoclays (ONCs) in nanocomposites continues to grow, however, may pose an inhalation hazard and risk for fixed airway disease which partially relies on epithelial and fibroblast cell responses.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8cwh-f4z9",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Todd Stueckle",
          "hasEmail": "mailto:tstueckle@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/u83t-x93e",
        "@type": "Organization",
        "name": "Garrett Burnett"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/8cwh-f4z9/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/8cwh-f4z9",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "In vitro toxicity assessment of pre- and post-incinerated organomodified nanoclays on airway epithelial and lung fibroblast cells - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8cwh-f4z9",
        "description": "In vitro toxicity assessment of pre- and post-incinerated organomodified nanoclays on airway epithelial and lung fibroblast cells - Dataset Home",
        "issued": "2026-04-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/u83t-x93e",
            "@type": "Organization",
            "name": "Garrett Burnett"
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        "009:20"
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      "programCode": [
        "009:034"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis",
      "description": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8cyw-fici",
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          "@type": "Kind",
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        }
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        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
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        "nndss",
        "netss",
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        "undetermined ehrlichiosis/anaplasmosis",
        "giardiasis"
      ],
      "modified": "2026-09-09",
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        },
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          "accessURL": "https://data.cdc.gov/d/8cyw-fici",
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          "modified": "2026-09-09",
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            "title": "Columns for this asset"
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          "downloadURL": "https://data.cdc.gov/api/v3/views/8cyw-fici/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8cyw-fici",
          "mediaType": "application/xml",
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            "title": "Columns for this asset"
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          "downloadURL": "https://data.cdc.gov/api/v3/views/8cyw-fici/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8cyw-fici",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8cyw-fici/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8cyw-fici",
          "mediaType": "application/vnd.google-earth.kmz",
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        "@type": "Document",
        "title": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8cyw-fici",
        "description": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
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        ]
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      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 4 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 31 of 48 and corresponds to the time range between March 12, 2012, and March 26, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8d5q-43rv",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/8d5q-43rv/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/8d5q-43rv",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 4 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8d5q-43rv",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 4 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Cumulative Influenza Vaccination Coverage by Race/Ethnicity and Age Group, NIS-ACM (Archived)",
      "description": "Cumulative Influenza Vaccination Coverage Age Group, Race/Ethnicity, and Jurisdiction, Adults 18 Years and Older, United States, National Immunization Survey Adult COVID Module.\n\nThe National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8dyx-9z99",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "influenza",
        "vaccination",
        "vaccine coverage",
        "coverage",
        "adults",
        "flu vaccination"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/8dyx-9z99/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8dyx-9z99",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8dyx-9z99/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8dyx-9z99",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
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          "downloadURL": "https://data.cdc.gov/api/v3/views/8dyx-9z99/query.xml?accessType=DOWNLOAD",
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            "title": "Columns for this asset"
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        }
      ],
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        "@type": "Document",
        "title": "Cumulative Influenza Vaccination Coverage by Race/Ethnicity and Age Group, NIS-ACM (Archived) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8dyx-9z99",
        "description": "Cumulative Influenza Vaccination Coverage by Race/Ethnicity and Age Group, NIS-ACM (Archived) - Dataset Home",
        "issued": "2022-09-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States, District of Columbia, US Virgin Islands, and Puerto Rico"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "@id": "https://data.cdc.gov/api/views/8ekv-ep3s",
      "identifier": "https://data.cdc.gov/api/views/8ekv-ep3s",
      "title": "DQS NHANES Select Mean Dietary Intake Estimates",
      "description": "These data represent mean intake, on a given day, estimates of nutrients from foods and beverages from the National Health and Nutrition Examination Survey (NHANES).\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
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        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS NHANES Select Mean Dietary Intake Estimates",
          "description": "These data represent mean intake, on a given day, estimates of nutrients from foods and beverages from the National Health and Nutrition Examination Survey (NHANES). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/8ekv-ep3s",
          "modified": "2026-07-22"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-22",
      "landingPage": {
        "@type": "Document",
        "title": "DQS NHANES Select Mean Dietary Intake Estimates",
        "accessURL": "https://www.cdc.gov/nchs/nhanes/visualization/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C (viral, acute), Probable",
      "description": "NNDSS - TABLE 1Q.  Hepatitis B, perinatal infection to Hepatitis C (viral, acute), Probable - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n * Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ For acute Hepatitis C, only confirmed cases were verified.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8ezu-y38w",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nndss",
        "probable",
        "wonder",
        "2019",
        "acute)",
        "confirmed",
        "hepatitis b",
        "hepatitis c (viral",
        "nedss",
        "netss",
        "perinatal infection"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8ezu-y38w/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8ezu-y38w",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8ezu-y38w/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8ezu-y38w",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/8ezu-y38w/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8ezu-y38w/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8ezu-y38w",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/8ezu-y38w/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C (viral, acute), Probable - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8ezu-y38w",
        "description": "NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C (viral, acute), Probable - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percent of Pregnant Women Ages 18 –49 Years Who have Received an Influenza Vaccine Overall, by Race and Ethnicity, and Season",
      "description": "Weekly influenza vaccination coverage estimates for pregnant women ages 18–49 years are based on electronic health record (EHR) data from the Vaccine Safety Datalink (VSD), a collaboration between CDC's Immunization Safety Office and multiple integrated health care organizations. \n\nThe denominator includes women with a pregnancy during the current flu season (defined as August through March) beginning before or during the specified week. The numerator includes those who received a flu vaccine since July 1 of the respective flu season before or during pregnancy as of the specified week ending date. Pregnant women are not removed from the numerator or denominator when the pregnancy ends. Cumulative vaccination coverage for one week may be lower than cumulative coverage for a previous week due to the addition of pregnant women in the denominator. Additionally, no requirements for length of enrollment in a VSD site are applied, and vaccinations given outside of a VSD site might not be included.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8fbp-accd",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "flu vaccination",
        "iis",
        "nis-flu",
        "nis-acm",
        "iqvia",
        "vsd"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/8fbp-accd/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8fbp-accd",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/8fbp-accd/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8fbp-accd",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8fbp-accd/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8fbp-accd",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/8fbp-accd/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percent of Pregnant Women Ages 18 –49 Years Who have Received an Influenza Vaccine Overall, by Race and Ethnicity, and Season - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8fbp-accd",
        "description": "Percent of Pregnant Women Ages 18 –49 Years Who have Received an Influenza Vaccine Overall, by Race and Ethnicity, and Season - Dataset Home",
        "issued": "2024-09-25",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
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      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Examination of the exposome in an animal model: the impact of high fat diet and rat strain on local and systemic immune markers following occupational welding fume exposure",
      "description": "The fundamental goal of this study was to develop an in vivo model of the exposome that could be used to evaluate exposure-induced alterations in local and systemic immune markers as a function of various exposomal factors. Accordingly, the model was designed to mimic an occupationally-relevant scenario in which inhalation of welding fumes (WF) constituted the primary occupational/environmental exposure of interest. Immune endpoints were assessed at three different time points representative of different stages in the exposure/response timeline (before WF exposure, directly after, and following a 12 wk recovery period). Moreover, the potential impact of genetic variation and lifestyle factors on the immune response to WF exposure and subsequent recovery was addressed by incorporating two different rat strains (Sprague-Dawley [SD] and Brown Norway [BN]) and two variations in diet (regular and high fat) into the model.\n\nOne of the primary objectives of this study was to determine whether consumption of a HF diet is associated with increased immunological responsivity following exposure to a common respiratory toxicant. The study was also executed with the goal of identifying which experimental factor (genetics/strain, diet, occupational exposure) is most influential in the modulation of local and systemic markers of immune status following WF exposure, and subsequently, the efficacy of inflammation resolution. The information obtained from these analyses will help elucidate which exposomic determinants may be particularly relevant in the context of immunotoxicity, and accordingly, warrant special attention in future investigations. The results will also contribute to the development of other in vivo exposome models and direct future efforts related to the exposome and its impact on human health.",
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        }
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        "description": "Examination of the exposome in an animal model: the impact of high fat diet and rat strain on local and systemic immune markers following occupational welding fume exposure - Dataset Home",
        "issued": "2024-11-15",
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    },
    {
      "@type": "Dataset",
      "title": "VEHSS Medicare Fee for Service + Advantage (100%)",
      "description": "2021, 2022. This dataset is a de-identified summary table of vision and eye health data indicators from Medicare claims and encounters, stratified by all available combinations of age group, race/ethnicity, gender, and state. Medicare FFS + Advantage data for VEHSS includes beneficiaries who were fully enrolled in Medicare Part B (Fee-for-Service (FFS)) or Medicare Part C (Medicare Advantage) for the duration of the year. Medicare claims provide a convenience sample that is approximately representative of the US population aged 65 and older, and contains data for certain individuals younger than age 65 who are eligible for Medicare for other reasons, including disability due to blindness.  Medicare data for VEHSS include Service Utilization and Medical Diagnoses indicators. Data were suppressed for de-identification to ensure protection of patient privacy. Data will be updated as it becomes available. Historical data for Medicare FFS only is available on VEHSS from 2014.  Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicare webpage (cdc.gov/visionhealth/vehss/data/claims/medicare.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicare dataset was last updated August 2025.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8gpz-j2fr",
      "contactPoint": [
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        }
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        "medicare",
        "medicare advantage",
        "vision and eye health"
      ],
      "modified": "2026-09-22",
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        "accessURL": "https://data.cdc.gov/d/8gpz-j2fr",
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    },
    {
      "@type": "Dataset",
      "title": "National Community Based Survey of Supports for Healthy Eating and Active Living  (CBS HEAL)",
      "description": "Community-Based Survey of Supports for Healthy Eating and Active Living (CBS HEAL) is a CDC survey of a nationally representative sample of U.S. municipalities to better understand existing community-level policies and practices that support healthy eating and active living. The survey collects information about policies such as nutrition standards, incentives for healthy food retail, bike/pedestrian-friendly design, and Complete Streets. About 2,000 municipalities respond to the survey. Participating municipalities receive a report that allows them to compare their policies and practices with other municipalities of similar geography, population size, and urban status.\n\nThe CBS HEAL survey was first administered in 2014 and was administered again in 2021. Data is provided in multiple formats for download including as a SAS file. A methods report and a SAS program for formatting the data are also provided.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8hus-y5nc",
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        {
          "@type": "Kind",
          "fn": "Division of Nutrition, Physical Activity, and Obesity",
          "hasEmail": "mailto:dnpaoinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cvya-y955",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "breastfeeding",
        "nutrition physical activity and weight status",
        "policy"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/8hus-y5nc/export.csv?accessType=DOWNLOAD",
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          }
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Community Based Survey of Supports for Healthy Eating and Active Living  (CBS HEAL) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8hus-y5nc",
        "description": "National Community Based Survey of Supports for Healthy Eating and Active Living  (CBS HEAL) - Dataset Home",
        "issued": "2023-06-28",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/cvya-y955",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
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      "license": "https://www.usa.gov/government-works",
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      "programCode": [
        "009:029"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Nutrition, Physical Activity, and Obesity - National Immunization Survey (Breastfeeding)",
      "description": "This dataset includes breastfeeding data from the National Immunization Survey (NIS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about breastfeeding and NIS visit https://www.cdc.gov/breastfeeding/data/nis_data/index.htm.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8hxn-cvik",
      "contactPoint": [
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          "fn": "DNPAO Public Inquiries",
          "hasEmail": "mailto:dnpaoinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/8kpq-utgy",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
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        "nutrition",
        "nis",
        "national immunization survey",
        "infants",
        "child",
        "breastfeeding",
        "breastfed"
      ],
      "modified": "2026-09-22",
      "describedBy": {
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        "downloadURL": "https://chronicdata.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-National-I/8hxn-cvik"
      },
      "distribution": [
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        "@type": "Document",
        "title": "Nutrition, Physical Activity, and Obesity - National Immunization Survey (Breastfeeding) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8hxn-cvik",
        "description": "Nutrition, Physical Activity, and Obesity - National Immunization Survey (Breastfeeding) - Dataset Home",
        "issued": "2025-01-30",
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      "inventoried": "2026-09-27"
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    {
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      "@id": "https://data.cdc.gov/api/views/8hzs-zshh",
      "identifier": "https://data.cdc.gov/api/views/8hzs-zshh",
      "title": "Provisional drug overdose death counts for specific drugs",
      "description": "This data presents counts of provisional drug overdose deaths by selected drugs and U.S. Department of Health and Human Services (HHS) public health regions, based on provisional mortality data from the National Vital Statistics System. This data is limited to drug overdose deaths with an underlying cause of death assigned to International Statistical Classification of Diseases, 10th Revision (ICD-10) code numbers X40-X44 (unintentional), X60-X64 (suicide), X85 (homicide), or Y10-Y14 (undetermined intent). Specific drugs were identified using methods for searching literal text from death certificates.\n\nThe provisional data are based on a current flow of mortality data and include reported 12 month-ending provisional counts of drug overdose deaths by jurisdiction of occurrence and specified drug. Provisional drug overdose death counts presented on this page are for “12-month ending periods,” defined as the number of deaths occurring in the 12-month period ending in the month indicated. For example, the 12-month ending period in June 2022 would include deaths occurring from July 1, 2021, through June 30, 2022. Evaluation of trends over time should compare estimates from year to year (June 2021 and June 2022), rather than month to month, to avoid overlapping time periods. It is important to note that the data represent counts of deaths, and not mortality ratios or rates, which are the standard measure used to compare groups, and therefore should not be used to determine populations at disproportionate risk of drug overdose death.",
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      ],
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      ],
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        "title": "Provisional drug overdose death counts for specific drugs",
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    },
    {
      "@type": "Dataset",
      "title": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, Region 8 - Denver",
      "description": "Rate of deaths by age/sex (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.\n\nUpdated on April 28, 2025, to comply with the President’s Executive Order 14168.",
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    {
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        "cdc",
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          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, Region 6 - Dallas - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8ihh-n7ic",
        "description": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, Region 6 - Dallas - Dataset Home",
        "issued": "2016-10-18",
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      "inventoried": "2026-09-27"
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      "title": "Weekly Cumulative Percentage of Children Ages 6 Months -17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine, by Jurisdiction",
      "description": "• Weekly COVID-19 vaccination coverage estimates among children 6 months to 17 years is assessed through the National Immunization Survey (https://www.cdc.gov/vaccines/imz-managers/nis/about.html). \n\n• Weekly estimates of COVID-19 vaccination coverage among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-ccm). Beginning January 2, 2024, the NIS-CCM was discontinued, and questions regarding receipt of COVID-19 vaccination among children were added to the NIS-Flu (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-cim). \n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19.",
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        "@type": "Document",
        "title": "Weekly Cumulative Percentage of Children Ages 6 Months -17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine, by Jurisdiction - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8jp2-ecz7",
        "description": "Weekly Cumulative Percentage of Children Ages 6 Months -17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine, by Jurisdiction - Dataset Home",
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      "title": "DQS Community hospital beds, by state: United States",
      "description": "Data on community hospital beds in the United States, by state. Data are from Health, United States. SOURCE: American Hospital Association (AHA) Annual Survey of Hospitals, Hospital Statistics.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
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          }
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          "accessURL": "https://data.cdc.gov/d/8mrp-rmkw",
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          "accessURL": "https://data.cdc.gov/d/8mrp-rmkw",
          "mediaType": "application/vnd.google-earth.kmz",
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        }
      ],
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        "@type": "Document",
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        "accessURL": "https://data.cdc.gov/d/8mrp-rmkw",
        "description": "Nutrition, Physical Activity, and Obesity - American Community Survey - Dataset Home",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Babesiosis to Campylobacteriosis",
      "description": "NNDSS - Table II. Babesiosis to Campylobacteriosis - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes:\r\n\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8n2k-mkiw",
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
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        "campylobacteriosis",
        "netss",
        "wonder",
        "nndss",
        "nedss",
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      ],
      "modified": "2026-09-09",
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        "description": "NNDSS - Table II. Babesiosis to Campylobacteriosis - Dataset Home",
        "issued": "2019-01-03",
        "publisher": [
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      "accessRights": "public",
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    },
    {
      "@type": "Dataset",
      "title": "BEAM Dashboard - Serotypes of concern: Burden and Trajectory",
      "description": "The BEAM (Bacteria, Enterics, Amoeba, and Mycotics) Dashboard is an interactive tool to access and visualize data from the System for Enteric Disease Response, Investigation, and Coordination (SEDRIC). The BEAM Dashboard provides timely data on pathogen trends and serotype details to inform work to prevent illnesses from food and animal contact.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8na9-qgz7",
      "contactPoint": [
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          "fn": "SIMSO",
          "hasEmail": "mailto:simso@cdc.gov"
        }
      ],
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        "@id": "https://data.cdc.gov/user/57qz-rujz",
        "@type": "Organization",
        "name": "CDC"
      },
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        "beam dashboard",
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        "salmonella"
      ],
      "modified": "2026-09-22",
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          }
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      ],
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        "@type": "Document",
        "title": "BEAM Dashboard - Serotypes of concern: Burden and Trajectory - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8na9-qgz7",
        "description": "BEAM Dashboard - Serotypes of concern: Burden and Trajectory - Dataset Home",
        "issued": "2025-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/57qz-rujz",
            "@type": "Organization",
            "name": "CDC"
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        "prefLabel": "US"
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Influenza Vaccination Coverage Comparison between Current and Previous Season, Children 6 Months through 17 Years, United States",
      "description": "Weekly Cumulative Influenza Vaccination Coverage Comparison between Current and Previous Season, Children 6 Months through 17 Years, United States \n\n• Influenza vaccination coverage among children is assessed through the National Immunization Survey-Flu (NIS-Flu) annually, providing weekly influenza vaccination coverage estimates for children 6 months–17 years based upon parental report. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html) \n\no NIS-Flu is a national random-digit-dialed cellular telephone survey of households conducted during the flu season (October-June). \n\n• Additional information about NIS-Flu methods and estimates from the 2019-2020 season are available at: https://www.cdc.gov/flu/fluvaxview/coverage-1920estimates.htm. Final estimates for prior seasons and other flu vaccination data are available at CDC’s FluVaxView.:  https://www.cdc.gov/flu/fluvaxview/index.htm.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8nyy-xsq7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "NCIRD"
      },
      "modified": "2026-09-22",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/8nyy-xsq7/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8nyy-xsq7",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/8nyy-xsq7/query.json?accessType=DOWNLOAD",
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/8nyy-xsq7/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8nyy-xsq7",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Influenza Vaccination Coverage Comparison between Current and Previous Season, Children 6 Months through 17 Years, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8nyy-xsq7",
        "description": "Weekly Cumulative Influenza Vaccination Coverage Comparison between Current and Previous Season, Children 6 Months through 17 Years, United States - Dataset Home",
        "issued": "2023-12-01",
        "publisher": [
          {
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          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States, States, and Local Jurisdictions"
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      "license": "https://www.usa.gov/government-works",
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        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "@id": "https://data.cdc.gov/api/views/8pt5-q6wp",
      "identifier": "https://data.cdc.gov/api/views/8pt5-q6wp",
      "title": "Indicators of Anxiety or Depression Based on Reported Frequency of Symptoms During Last 7 Days",
      "description": "The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households.  The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.\n\nThe survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions,",
      "contactPoint": {
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        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
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          "title": "Indicators of Anxiety or Depression Based on Reported Frequency of Symptoms During Last 7 Days",
          "description": "The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/8pt5-q6wp",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
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      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Indicators of Anxiety or Depression Based on Reported Frequency of Symptoms During Last 7 Days",
        "accessURL": "https://www.cdc.gov/nchs/covid19/pulse/mental-health.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Neuroendocrine effects of inhaling emissions generated by 3-dimensional (3D)-printing with polycarbonate stock",
      "description": "Inhalation of emissions (particulate and volatile chemicals) generated while 3-dimensional (3D) printing with polycarbonate feedstock generates respirable bisphenol A (BPA). BPA is a known endocrine disruptor that affects both reproductive and metabolic endocrine function.   A previous study examining the effects of exposure to a lower dose of emissions from 3D printing (3DE, dose approximately 600 µg/m3) found changes that were consistent with other studies reporting the effects of ingesting BPA.",
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      "identifier": "https://data.cdc.gov/api/views/8r7h-xzg5",
      "contactPoint": [
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        }
      ],
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        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
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        "description": "Neuroendocrine effects of inhaling emissions generated by 3-dimensional (3D)-printing with polycarbonate stock - Dataset Home",
        "issued": "2025-09-15",
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        "009:034"
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Mumps to Rabies, animal",
      "description": "NNDSS - Table II. Mumps to Rabies, animal - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",
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        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "wonder",
        "netss",
        "nedss",
        "pertussis",
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        "rabies animal",
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        "nndss"
      ],
      "modified": "2026-09-10",
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          "modified": "2026-09-10",
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          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Mumps to Rabies, animal - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8rkx-vimh",
        "description": "NNDSS - Table II. Mumps to Rabies, animal - Dataset Home",
        "issued": "2015-01-08",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
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          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1F. Brucellosis to Candida auris, clinical",
      "description": "NNDSS - Table 1F. Brucellosis to Candida auris, clinical - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8rsa-pnhx",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "2019",
        "brucellosis",
        "campylobacteriosis",
        "wonder",
        "nndss",
        "candida auris",
        "netss",
        "nedss",
        "clinical"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8rsa-pnhx/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8rsa-pnhx",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8rsa-pnhx/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8rsa-pnhx",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/8rsa-pnhx/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8rsa-pnhx/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8rsa-pnhx",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/8rsa-pnhx/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1F. Brucellosis to Candida auris, clinical - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8rsa-pnhx",
        "description": "NNDSS - TABLE 1F. Brucellosis to Candida auris, clinical - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "American Rescue Plan (ARP) Rural Payments",
      "description": "The U.S. Department of Health and Human Services (HHS) via the Health Resources and Services Administration (HRSA) is releasing American Rescue Plan payments to providers and suppliers who have served rural Medicaid, Children's Health Insurance Program (CHIP), and Medicare beneficiaries from January 1, 2019 through September 30, 2020. The dataset will be updated as additional payments are released. Data does not reflect recipients’ attestation status, returned payments, or unclaimed funds.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8v6a-z6zq",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "HRSA Chief Data Officer",
          "hasEmail": "mailto:PRFdata@hrsa.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/tjyw-xtku",
        "@type": "Organization",
        "name": "HRSA"
      },
      "keyword": [
        "covid-19",
        "american rescue plan"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8v6a-z6zq/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8v6a-z6zq",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8v6a-z6zq/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8v6a-z6zq",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/8v6a-z6zq/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8v6a-z6zq/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8v6a-z6zq",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/8v6a-z6zq/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "American Rescue Plan (ARP) Rural Payments - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8v6a-z6zq",
        "description": "American Rescue Plan (ARP) Rural Payments - Dataset Home",
        "issued": "2022-01-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/tjyw-xtku",
            "@type": "Organization",
            "name": "HRSA"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "U.S."
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:15"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Persistence of SARS-CoV-2 on N95 filtering facepiece respirators: implications for reuse",
      "description": "In response to the shortage of N95® filtering facepiece respirators (FFRs) for healthcare workers during the COVID-19 pandemic, the Centers for Disease Control and Prevention (CDC) issued strategies for extended use and limited reuse of N95 FFRs to conserve supply. Previously worn N95 FFRs can serve as a source of pathogens, which can be transferred to the wearer while doffing and donning a respirator when practicing reuse. To reduce the risk of self-contamination when donning and doffing reused FFRs, the CDC suggested storing FFRs for five days between uses to allow for the decay of viable pathogens including SARS-CoV-2. This study assessed the persistence of the SARS-CoV-2 strain USA-WA1/2020 on N95 FFRs under controlled storage conditions for up to five days to inform the CDC guidance.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8ve6-tiah",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Research Branch (RB), National Personal Protective Technology Laboratory (NPPTL)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/8ve6-tiah/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/8ve6-tiah",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Persistence of SARS-CoV-2 on N95 filtering facepiece respirators: implications for reuse - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8ve6-tiah",
        "description": "Persistence of SARS-CoV-2 on N95 filtering facepiece respirators: implications for reuse - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Characterizing dynamic atmosphere generation system performance for analytical method development",
      "description": "Laboratory-generated environments are substantial parts of the work involved in developing and validating methods for sampling volatile organic compounds (VOCs) in workplace atmospheres. We assessed the variability of samples produced by our dynamic atmosphere generation system designed for VOC generation and sampling. The characterization of bias and variability was conducted across various atmospheres containing pure n-heptane as well as mixtures of VOCs, which were collected using coconut shell charcoal tubes. The analysis of VOCs from these charcoal tubes was evaluated to reveal the variability from multiple sources: the generation of the atmosphere, the sampling process, and the analytical procedures. This research aimed to quantify the extent of variability from these sources and to estimate the sampling variability associated with our dynamic generation system. Our findings indicated that sampling variability ranged from 2% for pure n-heptane to 12% for a component within a ten-VOC mixture. Notably, sample variability increased with lower concentration levels and in mixtures compared to single-component atmospheres. This study provides a foundational reference for future experiments focused on atmosphere sampling performance at lower concentrations and in mixed VOC environments.\n\nThe introduction above was rephrased by ChatGPT-4 (with training data up to April 2023) from the original work of: Doepke et al. (2024) Journal of Occupational and Environmental Hygiene, doi:10.1080/15459624.2024.2423749.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8vj7-uiam",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Chemical and Biological Monitoring Branch (CBMB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/8vj7-uiam/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/8vj7-uiam",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Characterizing dynamic atmosphere generation system performance for analytical method development - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8vj7-uiam",
        "description": "Characterizing dynamic atmosphere generation system performance for analytical method development - Dataset Home",
        "issued": "2024-12-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Vaccination Coverage among Nursing Home Residents",
      "description": "Vaccination Coverage among Nursing Home Residents\n\n• Data on influenza and pneumococcal vaccination coverage from the Long-Term Care Minimum Data Set (MDS) from the Centers for Medicare & Medicaid Services (CMS) at the national, regional, and state levels by sociodemographic characteristics.\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/adultvaxview/index.html and https://www.cdc.gov/flu/fluvaxview/index.htm",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8w4j-reb4",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD ISD SEB",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "NCIRD"
      },
      "keyword": [
        "vaccination coverage",
        "vaxviews",
        "vaccination",
        "pneumococcal",
        "nursing home vaccination",
        "influenza",
        "immunization"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8w4j-reb4/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8w4j-reb4",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8w4j-reb4/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8w4j-reb4",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/8w4j-reb4/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8w4j-reb4/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8w4j-reb4",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/8w4j-reb4/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Vaccination Coverage among Nursing Home Residents - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8w4j-reb4",
        "description": "Vaccination Coverage among Nursing Home Residents - Dataset Home",
        "issued": "2021-05-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "NCIRD"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 17 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 44 of 48 and corresponds to the time range between November 5, 2012, and November 12, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8wk8-2h8d",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/8wk8-2h8d/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/8wk8-2h8d",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 17 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8wk8-2h8d",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 17 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/8wmh-yzz9",
      "identifier": "https://data.cdc.gov/api/views/8wmh-yzz9",
      "title": "NHANES Select Mean Dietary Intake Estimates",
      "description": "These data represent mean intake, on a given day, estimates of nutrients from foods and beverages from the National Health and Nutrition Examination Survey (NHANES).",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NHANES Select Mean Dietary Intake Estimates",
          "description": "These data represent mean intake, on a given day, estimates of nutrients from foods and beverages from the National Health and Nutrition Examination Survey (NHANES). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/8wmh-yzz9",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NHANES Select Mean Dietary Intake Estimates",
        "accessURL": "https://www.cdc.gov/nchs/nhanes/visualization/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Tuberculosis Epidemiologic Studies Consortium (TBESC)-II Part C: Improving screening, testing, and treatment for latent TB infection (LTBI)",
      "description": "This study used a mixed-methods approach to identify provider- and clinic-level barriers and facilitators in the latent tuberculosis infection (LTBI) care cascade at community health clinics. This included both qualitative and quantitative data collection.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8xdf-byx4",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Tuberculosis Epidemiologic Studies Consortium",
          "hasEmail": "mailto:tbesc3@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/f2ch-h7gm",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "latent tuberculosis infection (ltbi)",
        "cascade of care",
        "care cascade",
        "tuberculosis (tb)"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/8xdf-byx4/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/8xdf-byx4",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Tuberculosis Epidemiologic Studies Consortium (TBESC)-II Part C: Improving screening, testing, and treatment for latent TB infection (LTBI) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8xdf-byx4",
        "description": "Tuberculosis Epidemiologic Studies Consortium (TBESC)-II Part C: Improving screening, testing, and treatment for latent TB infection (LTBI) - Dataset Home",
        "issued": "2025-03-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/f2ch-h7gm",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:027"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Vaccinations in the United States,County",
      "description": "Overall US COVID-19 Vaccine administration and vaccine equity data at county level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities. ",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8xkx-amqh",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/3suw-ciyu",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "coronavirus",
        "administration",
        "vaccination",
        "izdl",
        "immunization",
        "covid-19",
        "age"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8xkx-amqh/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8xkx-amqh",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8xkx-amqh/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8xkx-amqh",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/8xkx-amqh/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8xkx-amqh/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8xkx-amqh",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/8xkx-amqh/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19 Vaccinations in the United States,County - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8xkx-amqh",
        "description": "COVID-19 Vaccinations in the United States,County - Dataset Home",
        "issued": "2022-12-09",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/3suw-ciyu",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-12-13",
          "endDate": "2023-05-12"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/8xy9-ubqz",
      "identifier": "https://data.cdc.gov/api/views/8xy9-ubqz",
      "title": "Access and Use of Telemedicine During COVID-19",
      "description": "The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of telemedicine access and use for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about whether providers offered telemedicine (including video and telephone appointments) in the last 2 months—both during and before the pandemic—and about the use of telemedicine in the last 2 months during the pandemic. As a result of the coronavirus pandemic, many local and state governments discouraged people from leaving their homes for nonessential reasons. Although health care is considered an essential activity, telemedicine offers an opportunity for care without the potential or perceived risks of leaving the home. The National Health Interview Survey, conducted by NCHS, added telemedicine questions to its sample adult questionnaire in July 2020.  The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/telemedicine-use.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of telemedicine use during the pandemic (beginning in Phase 3.1, which started on April 14, 2021). The Household Pulse Survey reports telemedicine use in the last 4 weeks among adults and among households with at least one child under age 18 years. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who have a usual place of care and a provider that offered telemedicine in the past 2 months, who used telemedicine in the past 2 months, or who have a usual place of care and a provider that offered telemedicine prior to the coronavirus pandemic. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/telemedicine.htm#limitations",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Access and Use of Telemedicine During COVID-19",
          "description": "The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/8xy9-ubqz",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Access and Use of Telemedicine During COVID-19",
        "accessURL": "https://www.cdc.gov/nchs/covid19/rands/telemedicine.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Differences in Cumulative COVID-19 Vaccination Coverage by Selected Demographics and by Season, Among Adults 18 Years, Overall",
      "description": "•  Weekly COVID-19 Vaccination Coverage and Comparison among adults 18 Years and Older by Selected Demographics and by Season  \n\n• Weekly estimates of COVID-19 vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Surveys (NIS)-Fall Respiratory Virus Module (NIS-FRVM) (https://www.cdc.gov/nis/about/index.html).  \n\n• The NIS–FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. All estimates are based upon self-reported receipt of vaccination and month of that vaccination. \n\n• Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 and 2025–26 COVID-19 vaccines were first available at the end of August 2024 and 2025, respectively. \n\n• The NIS-FRVM data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.  ",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8yup-c35n",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "nis-acm",
        "covid-19 vaccination",
        "iis-adult",
        "iqvia",
        "iis-child",
        "cms",
        "vsd",
        "nis-child"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8yup-c35n/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8yup-c35n",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8yup-c35n/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8yup-c35n",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/8yup-c35n/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8yup-c35n/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8yup-c35n",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/8yup-c35n/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Differences in Cumulative COVID-19 Vaccination Coverage by Selected Demographics and by Season, Among Adults 18 Years, Overall - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/8yup-c35n",
        "description": "Weekly Differences in Cumulative COVID-19 Vaccination Coverage by Selected Demographics and by Season, Among Adults 18 Years, Overall - Dataset Home",
        "issued": "2025-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "BRFSS Prevalence and Trends Data: Tobacco Use - Four Level Smoking Data for 1995-2010",
      "description": "Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements.For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm.Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/8zak-ewtm",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/7vdi-f8f4",
        "@type": "Organization",
        "name": "Mark@CDC"
      },
      "keyword": [
        "former smoker",
        "non-smoker",
        "brfss",
        "current smokers"
      ],
      "modified": "2026-08-17",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8zak-ewtm/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8zak-ewtm",
          "mediaType": "text/csv",
          "modified": "2026-08-17"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8zak-ewtm/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8zak-ewtm",
          "mediaType": "application/json",
          "modified": "2026-08-17",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/8zak-ewtm/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8zak-ewtm/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8zak-ewtm",
          "mediaType": "application/xml",
          "modified": "2026-08-17",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/8zak-ewtm/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/8zak-ewtm/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/8zak-ewtm",
          "mediaType": "application/geo+json",
          "modified": "2026-08-17"
        },
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      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinic’s contact information, location, the medical director’s name, and summary statistics.",
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      },
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        "infertility",
        "services",
        "success rates",
        "art",
        "assisted reproductive technology",
        "clinic",
        "fertility"
      ],
      "modified": "2026-09-23",
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        "description": "2020 Final Assisted Reproductive Technology (ART) Services and Profiles - Dataset Home",
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    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Lyme disease to Meningococcal",
      "description": "NNDSS - Table II. Lyme disease to Meningococcal - 2016. In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n* Case counts for reporting year 2016 are provisional and subject to change.   For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.\r\n§ Data for meningococcal disease, invasive caused by serogroups ACWY; serogroup B; other serogroup; and unknown serogroup are available in Table I.",
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      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
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      },
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        "wonder",
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        "all serogroups",
        "invasive",
        "lyme disease",
        "malaria",
        "meningococcal disease",
        "mmwr",
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      ],
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      "distribution": [
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        "accessURL": "https://data.cdc.gov/d/93k9-hy54",
        "description": "NNDSS - Table II. Lyme disease to Meningococcal - Dataset Home",
        "issued": "2017-01-05",
        "publisher": [
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    },
    {
      "@type": "Dataset",
      "title": "Vaccination Concerns, Issues, and Motivators | RespVaxView | Data | Centers for Disease Control and Prevention (cdc.gov)",
      "description": "• CDC is providing information on COVID-19, flu, and RSV vaccination concerns, issues, and motivators to supplement weekly vaccination data. These monthly data represent trends in vaccination concerns, issues, and motivators, by demographics and other characteristics. \n \n• The data start in August 2024.",
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        "covid-19 vaccination",
        "flu vaccination"
      ],
      "modified": "2026-09-18",
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        "description": "Vaccination Concerns, Issues, and Motivators | RespVaxView | Data | Centers for Disease Control and Prevention (cdc.gov) - Dataset Home",
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      "description": "Data on drug overdose death rates, by drug type and selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time.\n\nSOURCE: NCHS, National Vital Statistics System, numerator data from annual public-use Mortality Files; denominator data from U.S. Census Bureau national population estimates; and Murphy SL, Xu JQ, Kochanek KD, Arias E, Tejada-Vera B. Deaths: Final data for 2018. National Vital Statistics Reports; vol 69 no 13. Hyattsville, MD: National Center for Health Statistics.2021. Available from: https://www.cdc.gov/nchs/products/nvsr.htm. For more information on the National Vital Statistics System, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.",
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          "accessURL": "https://data.cdc.gov/api/views/95ax-ymtc",
          "modified": "2025-04-21"
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      ],
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      ],
      "modified": "2025-04-21",
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        "title": "Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Active Bacterial Core surveillance (ABCs) Group B Streptococcus",
      "description": "ABCs is an ongoing surveillance program that began in 1997. <a href=\"https://www.cdc.gov/abcs/reports/index.html\">ABCs reports</a> describe the ABCs case definition and the specific methodology used to calculate rates and estimated numbers in the United States for each bacterium by year.  The methods, <a href=\"https://www.cdc.gov/abcs/about/surv-areas-and-populations.html\">surveillance areas</a>, and <a href=\"https://www.cdc.gov/abcs/about/surv-areas-and-populations.html#Surveillance%20population%20and%20isolate%20collection\">laboratory isolate collection areas</a> have changed over time.\n                Additionally, the way missing data are taken into account changed in 2010.  It went from distributing unknown values based on known values of cases by site to use of multiple imputation using a sequential regression imputation method.\n                Given these changes over time, trends should be interpreted with caution.\n<ul><li> <a href=\"http://www.cdc.gov/abcs/methodology/index.html\">Methodology</a>\nFind details about surveillance population, case determination, surveillance evaluation, and more. </li> <li><a href=\"https://www.cdc.gov/abcs/reports/index.html\">Reports and Findings</a>\nGet official interpretations from reports and publications created from ABCs data.\n </li>                </ul>",
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          "hasEmail": "mailto:abcs@cdc.gov"
        }
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        "@id": "https://data.cdc.gov/user/wnru-jmaq",
        "@type": "Organization",
        "name": "Active Bacterial Core Surveillance"
      },
      "keyword": [
        "abcs",
        "bactfacts"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/95m5-agj4/export.csv?accessType=DOWNLOAD",
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          "modified": "2026-09-22"
        },
        {
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      "landingPage": {
        "@type": "Document",
        "title": "Active Bacterial Core surveillance (ABCs) Group B Streptococcus - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/95m5-agj4",
        "description": "Active Bacterial Core surveillance (ABCs) Group B Streptococcus - Dataset Home",
        "issued": "2021-06-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/wnru-jmaq",
            "@type": "Organization",
            "name": "Active Bacterial Core Surveillance"
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        ]
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        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Daily Census Tract-Level PM2.5 Concentrations, 2016 - 2020",
      "description": "This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2016-2020. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information. Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action. By using these data, you signify your agreement to comply with the following requirements: 1. Use the data for statistical reporting and analysis only. 2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",
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      "contactPoint": [
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          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
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        "pm2.5",
        "air quality",
        "air pollution",
        "asthma",
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        "national ambient air quality standards",
        "national environmental health tracking network"
      ],
      "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Daily Census Tract-Level PM2.5 Concentrations, 2016 - 2020 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/96sd-hxdt",
        "description": "Daily Census Tract-Level PM2.5 Concentrations, 2016 - 2020 - Dataset Home",
        "issued": "2024-03-08",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/4zyv-yjue",
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        ]
      },
      "spatial": {
        "@type": "Location",
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      },
      "bureauCode": [
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      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b",
      "description": "NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
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        }
      ],
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        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "all ages all serotypes",
        "2022",
        "age <5 years serotype b",
        "nndss",
        "gonorrhea",
        "haemophilus influenzae",
        "invasive disease",
        "nedss",
        "netss",
        "wonder"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "mediaType": "application/json",
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          "accessURL": "https://data.cdc.gov/d/97bc-2r74",
          "mediaType": "application/xml",
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          "accessURL": "https://data.cdc.gov/d/97bc-2r74",
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          "accessURL": "https://data.cdc.gov/d/97bc-2r74",
          "mediaType": "application/vnd.google-earth.kml+xml",
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        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/97bc-2r74/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/97bc-2r74",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/97bc-2r74",
        "description": "NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
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          }
        ]
      },
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        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Chlamydia to Coccidioidomycosis",
      "description": "NNDSS - Table II. Chlamydia to Coccidioidomycosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/97tt-n3j3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "chlamydia trachomatis infection",
        "2015",
        "wonder",
        "coccidioidomycosis",
        "nndss",
        "mmwr",
        "nedss",
        "netss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/97tt-n3j3/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/97tt-n3j3",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/97tt-n3j3/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/97tt-n3j3",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/97tt-n3j3/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/97tt-n3j3",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Chlamydia to Coccidioidomycosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/97tt-n3j3",
        "description": "NNDSS - Table II. Chlamydia to Coccidioidomycosis - Dataset Home",
        "issued": "2016-01-07",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
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        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis",
      "description": "NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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      "identifier": "https://data.cdc.gov/api/views/986w-8kut",
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        }
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        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
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        "cyclosporiasis",
        "nndss",
        "nedss",
        "netss",
        "wonder",
        "2021"
      ],
      "modified": "2026-09-09",
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      "description": "NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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      "description": "This site provides historical data beginning June 14, 2023, for the visualization presented on <a href=\"https://covid.cdc.gov/covid-data-tracker/#vaccinations\">COVID-19 Data Tracker’s “Vaccinations in the United States</a>” site titled “Percent of Total Population Who Are Up to Date with COVID-19 Vaccines”\n\n<b>Definition for Up to Date:\nFor surveillance purposes people are ‘Upto Date’ with COVID-19 vaccines based on the following criteria:</b>\n\nPeople ages 6 years and older: Are up to date if they received 1 updated Pfizer-BioNTech or Moderna COVID-19 vaccine. \n\nChildren ages 6 months to 5 years who received the Pfizer-BioNTech COVID-19 vaccine: Are up to date if: At ages 6 months to 4 years, they received 3 COVID-19 vaccine doses, including at least 1 updated COVID-19 dose; at age 5 years, they received at least 1 updated COVID-19 vaccine dose. \n\nChildren ages 6 months to 5 years who received the Moderna COVID-19 vaccine: Are up to date if they received 2 Moderna COVID-19 vaccine doses, including at least 1 updated COVID-19 vaccine dose. \n\nPeople who are unable or choose not to get a recommended mRNA vaccine: Are up to date if they receive the Novavax COVID-19 vaccine doses approved for their age group.\n\nCDC uses US Census estimates for the total populations within each specified demographic group regardless of prior vaccination status as denominators. \n\nData represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.",
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      "title": "Provisional COVID-19 Deaths by Sex and Age",
      "description": "Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nDeaths involving COVID-19, pneumonia, and influenza reported to NCHS by sex, age group, and jurisdiction of occurrence.",
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          "accessURL": "https://data.cdc.gov/api/views/9bhg-hcku",
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      "title": "State and Local Area Integrated Telephone Survey (SLAITS)",
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      ],
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        "accessURL": "https://archive.cdc.gov/www_cdc_gov/nchs/slaits/index.htm"
      },
      "inventoried": "2026-09-27"
    },
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      "identifier": "https://data.cdc.gov/api/views/9cpv-whbv",
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      "description": "This dataset includes the number of deaths from all causes by week in which the death occurred and by jurisdiction, from 2015 to 2019, United States and Puerto Rico.",
      "contactPoint": {
        "@type": "vcard:Kind",
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      "distribution": [
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      ],
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        "title": "Weekly counts of deaths from all causes by jurisdiction,  2015-2019",
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      },
      "inventoried": "2026-09-27"
    },
    {
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      "title": "NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection",
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      "title": "NNDSS - Table III. Tuberculosis",
      "description": "NNDSS - Table III. Tuberculosis - 2017.This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States will exclude counts from US territories.  Footnote: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Min: Minimum.    Max: Maximum. * Case counts for reporting year 2016 and 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf Data for TB are displayed quarterly.",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1B. Arboviral diseases, neuroinvasive and non-neuroinvasive, Jamestown Canyon virus disease to Powassan virus disease",
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      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table 1B. Arboviral diseases, neuroinvasive and non-neuroinvasive, Jamestown Canyon virus disease to Powassan virus disease - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/9gny-cbhc",
        "description": "NNDSS - Table 1B. Arboviral diseases, neuroinvasive and non-neuroinvasive, Jamestown Canyon virus disease to Powassan virus disease - Dataset Home",
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      "title": "Provisional COVID-19 Deaths by Week and County Social Vulnerability Index",
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      "contactPoint": {
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        "fn": "National Center for Health Statistics",
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        "name": "National Center for Health Statistics (NCHS)",
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        {
          "@type": "dcat:Distribution",
          "title": "Provisional COVID-19 Deaths by Week and County Social Vulnerability Index",
          "description": "Effective September 27, 2023, this dataset will no longer be updated. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/9hdi-ekmb",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Provisional COVID-19 Deaths by Week and County Social Vulnerability Index",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Giardiasis to Haemophilus influenza",
      "description": "NNDSS - Table II. Giardiasis to Haemophilus influenza - 2014.\r\nIn this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (≥ 1,000 and ≤ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. \r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. \r\n* Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n† Data for H. influenzae (age <5 yrs serotype b, nonserotype b, and unknown serotype) are available in Table I.\r\n\r\nMore information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/9ix3-ryt6",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "wja0@cdc.gov",
          "hasEmail": "mailto:no-reply@data.cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nndss",
        "wonder",
        "gonorrhea",
        "haemophilus influenzae",
        "mmwr",
        "nedss",
        "2014",
        "giardiasis",
        "netss"
      ],
      "modified": "2016-03-03",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9ix3-ryt6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9ix3-ryt6",
          "mediaType": "text/csv",
          "modified": "2016-03-03"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9ix3-ryt6/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9ix3-ryt6",
          "mediaType": "application/json",
          "modified": "2016-03-03",
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          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9ix3-ryt6/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9ix3-ryt6",
          "mediaType": "application/xml",
          "modified": "2016-03-03",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9ix3-ryt6/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Giardiasis to Haemophilus influenza - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/9ix3-ryt6",
        "description": "NNDSS - Table II. Giardiasis to Haemophilus influenza - Dataset Home",
        "issued": "2016-03-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
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          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/9j2v-jamp",
      "identifier": "https://data.cdc.gov/api/views/9j2v-jamp",
      "title": "Death rates for suicide, by sex, race, Hispanic origin, and age: United States",
      "description": "Data on death rates for suicide, by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time.\n\nSOURCE: NCHS, National  Vital Statistics System (NVSS); Grove RD, Hetzel AM. Vital statistics rates in the United States, 1940–1960. National Center for Health Statistics. 1968; numerator data from NVSS annual public-use Mortality Files; denominator data from U.S. Census Bureau national population estimates; and Murphy SL, Xu JQ, Kochanek KD, Arias E, Tejada-Vera B. Deaths: Final data for 2018. National Vital Statistics Reports; vol 69 no 13. Hyattsville, MD: National Center for Health Statistics. 2021. Available from: https://www.cdc.gov/nchs/products/nvsr.htm. For more information on the National Vital Statistics System, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.",
      "contactPoint": {
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        "fn": "National Center for Health Statistics",
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      },
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        "name": "National Center for Health Statistics (NCHS)",
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      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
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          "description": "Data on death rates for suicide, by selected population characteristics. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/9j2v-jamp",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
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      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Death rates for suicide, by sex, race, Hispanic origin, and age: United States",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1V. Malaria to Measles, Indigenous",
      "description": "NNDSS - TABLE 1V. Malaria to Measles, Indigenous - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Measles is considered imported if the disease was acquired outside of the United States and is considered indigenous if the disease was acquired anywhere within the United States or it is not known where the disease was acquired.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/9k8a-cbgx",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "netss",
        "nedss",
        "indigenous",
        "imported",
        "nndss",
        "wonder",
        "2021",
        "malaria",
        "measles"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
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        },
        {
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          "accessURL": "https://data.cdc.gov/d/9k8a-cbgx",
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          "accessURL": "https://data.cdc.gov/d/9k8a-cbgx",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9k8a-cbgx/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9k8a-cbgx",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9k8a-cbgx/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9k8a-cbgx",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1V. Malaria to Measles, Indigenous - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/9k8a-cbgx",
        "description": "NNDSS - TABLE 1V. Malaria to Measles, Indigenous - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1F. Brucellosis to Candida auris, clinical",
      "description": "NNDSS - Table 1F. Brucellosis to Candida auris, clinical - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/9kbf-icdi",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "brucellosis",
        "candida auris",
        "clinical",
        "nedss",
        "netss",
        "wonder",
        "campylobacteriosis",
        "2021",
        "nndss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9kbf-icdi/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9kbf-icdi",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9kbf-icdi/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9kbf-icdi",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/api/views/9kbf-icdi/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9kbf-icdi/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9kbf-icdi",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9kbf-icdi/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9kbf-icdi",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9kbf-icdi/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9kbf-icdi",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9kbf-icdi/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9kbf-icdi",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table 1F. Brucellosis to Candida auris, clinical - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/9kbf-icdi",
        "description": "NNDSS - Table 1F. Brucellosis to Candida auris, clinical - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "U.S. State and Territorial Orders Closing and Reopening Bars Issued from March 11, 2020 through August 15, 2021 by County by Day",
      "description": "State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when bars in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data can be used to determine when bars in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.\n\nThese data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly close or reopen bars found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through August 15, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/9kjw-3miq",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "T.J. Pierce",
          "hasEmail": "mailto:pwc2@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/qwcg-irwv",
        "@type": "Organization",
        "name": "Environmental Public Health Tracking"
      },
      "keyword": [
        "mitigation",
        "business reopening",
        "business closure",
        "covid-19",
        "executive order",
        "government order",
        "social distancing",
        "public health order",
        "proclamation",
        "legal epidemiology"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/9kjw-3miq/export.csv?accessType=DOWNLOAD",
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          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/9kjw-3miq/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9kjw-3miq",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/9kjw-3miq/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9kjw-3miq",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "U.S. State and Territorial Orders Closing and Reopening Bars Issued from March 11, 2020 through August 15, 2021 by County by Day - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/9kjw-3miq",
        "description": "U.S. State and Territorial Orders Closing and Reopening Bars Issued from March 11, 2020 through August 15, 2021 by County by Day - Dataset Home",
        "issued": "2021-09-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/qwcg-irwv",
            "@type": "Organization",
            "name": "Environmental Public Health Tracking"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Controlled Generation of Peracetic Acid Atmospheres for the Evaluation of Chemical Samplers",
      "description": "The goal of the experimental design and research presented herein was to produce peracetic acid (PAA) atmospheres suitable for evaluating PAA sampling methods in a controlled environment. To achieve this, generated test atmospheres must: enable simultaneous exposure of multiple samplers to equivalent atmospheres; maintain a continuous stable atmosphere for a duration to exceed experimental time frames; and produce a range of analyte concentrations, air velocities, temperatures and humidities. The American Conference of Governmental Industrial Hygienists (AGCIH) Threshold Limit Value (TLV) for PAA is 0.4 ppm. The goal was to generate PAA atmospheres with concentrations from one tenth of the TLV up to 100 times the TLV.\n\nPAA is a reactive chemical, which presents some inherent challenges to generation of standard reference materials and atmospheres. PAA is a strong oxidant. PAA solutions are labile, thus it is difficult to keep reference standards or atmospheres. In solution, PAA and water are in equilibrium with acetic acid (AA) and hydrogen peroxide (HP). The equilibrium shifts as solutions of PAA evolve oxygen gas through the degradation of HP. Dynamic PAA atmospheres which are flowing and continuously refreshed are the preferred method for exposing samplers to equivalent atmospheres. Generation of static atmospheres by evaporating PAA solution into a closed container cannot be maintained for very long before needing to be refreshed. Dynamically generated atmospheres are created by a continuously renewed flow of air as a carrier and a source of PAA vapors, which are necessary for evaluating sensor performance over time frames relevant to occupational safety.\n\nGeneration of PAA vapors can be accomplished from assisted vaporization, including applying heat and/or aerosolization with a nebulizer to accelerate evaporation. Glass reacts with PAA to hydroxylate the silica. used a glass syringe to deliver PAA solution to a nebulizer; however, gas bubbles formed in the syringe leading to uncontrollable ejection of the PAA solution from the syringe. To mitigate this, used acid washed syringes. They generated atmospheres of up to 2 ppm with a reported 95% recovery of theoretical delivered PAA. Dilute solutions of PAA can help to mitigate gas evolution but require more energy to evaporate and introduce additional humidity.\n\nFor these experiments, PAA vapors were swept directly from the headspace above a PAA solution into our generation system. The flow rate of the air sweeping the headspace was varied to achieve the desired concentration after dilution into the carrier gas stream. When evaporating diluted PAA solutions using a nebulizer, the minimum humidity range is limited due to the water content in the dilute PAA solution. Thus, a wider humidity range on the low end is available when sweeping the headspace. The ability to maintain the concentration of PAA in the headspace above the solution is limited by the kinetics at the PAA solution-air interface. A practical solution was achieved using a PAA delivery system where air was passed through the headspace above a PAA solution in a vial. An impinger with a N,N-diethyl-p-phenylenediamine (DPD) analysis was used as the reference measurement for the PAA concentrations in the generated atmospheres.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/9kpc-xntn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Chemical and Biochemical Monitoring Branch (CBMB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/9kpc-xntn/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/9kpc-xntn",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Controlled Generation of Peracetic Acid Atmospheres for the Evaluation of Chemical Samplers - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/9kpc-xntn",
        "description": "Controlled Generation of Peracetic Acid Atmospheres for the Evaluation of Chemical Samplers - Dataset Home",
        "issued": "2024-11-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "autism prevalence studies",
      "description": "This data table provides a collection of information from peer-reviewed autism prevalence studies. Information reported from each study includes the autism prevalence estimate and additional study characteristics (e.g., case ascertainment and criteria). A PubMed search was conducted to identify studies published at any time through September 2020 using the search terms: autism (title/abstract) OR autistic (title/abstract) AND prevalence (title/abstract). Data were abstracted and included if the study fulfilled the following criteria: \n•\tThe study was published in English; \n•\tThe study produced at least one autism prevalence estimate; and\n•\tThe study was population-based (any age range) within a defined geographic area.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/9mw4-6adp",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC Info",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/xm6j-z4y3",
        "@type": "Organization",
        "name": "AlliHanley"
      },
      "keyword": [
        "asd",
        "autism",
        "prevalence studies",
        "autism prevalence",
        "autism spectrum disorder"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9mw4-6adp/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9mw4-6adp",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9mw4-6adp/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9mw4-6adp",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9mw4-6adp/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9mw4-6adp/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9mw4-6adp",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9mw4-6adp/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "autism prevalence studies - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/9mw4-6adp",
        "description": "autism prevalence studies - Dataset Home",
        "issued": "2020-09-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/xm6j-z4y3",
            "@type": "Organization",
            "name": "AlliHanley"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Cryptosporidiosis to Dengue",
      "description": "NNDSS - Table II. Cryptosporidiosis to Dengue - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Data for dengue-like illness will be included in this table after the CDC obtains Office of Management and Budget (OMB) Paperwork Reduction Act (PRA) to receive data for this condition.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/9n3x-apcd",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "dengue virus infection",
        "mmwr",
        "nedss",
        "severe dengue",
        "nndss",
        "netss",
        "dengue",
        "cryptosporidiosis",
        "2015",
        "wonder"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9n3x-apcd/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9n3x-apcd",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9n3x-apcd/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9n3x-apcd",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9n3x-apcd/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9n3x-apcd/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9n3x-apcd",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9n3x-apcd/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Cryptosporidiosis to Dengue - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/9n3x-apcd",
        "description": "NNDSS - Table II. Cryptosporidiosis to Dengue - Dataset Home",
        "issued": "2016-01-07",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Meningococcal disease to Pertussis",
      "description": "NNDSS - Table II. Meningococcal disease to Pertussis - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\r\n \r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/9qys-crt2",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "wonder",
        "2018",
        "all serogroups",
        "meningococcal disease",
        "mumps",
        "nedss",
        "netss",
        "nndss",
        "pertussis"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9qys-crt2/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9qys-crt2",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9qys-crt2/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9qys-crt2",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9qys-crt2/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9qys-crt2/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9qys-crt2",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9qys-crt2/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Meningococcal disease to Pertussis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/9qys-crt2",
        "description": "NNDSS - Table II. Meningococcal disease to Pertussis - Dataset Home",
        "issued": "2019-01-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Respiratory Virus Response (RVR) United States Hospitalization Metrics by Jurisdiction, Timeseries – ARCHIVED",
      "description": "<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 and influenza hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). \n\nThis dataset represents hospitalization data and metrics aggregated to country, HHS region, and state/territory. Hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to hospital admissions, and inpatient and ICU bed capacity occupancy.\n\nData fields for new admissions of pediatric patients with confirmed COVID-19 for ages 0-4 years, 5-11 years, and 12-17 years were not required for reporting until February 2022; therefore, data for the following fields in this dataset begin on March 1, 2022 to account for delays in initial reporting of these fields:\n \nadm_00_04_covid_confirmed\navg_adm_00_04_covid_confirmed\navg_adm_00_04_covid_confirmed_per_100k\nadm_05_11_covid_confirmed\navg_adm_05_11_covid_confirmed\navg_adm_05_11_covid_confirmed_per_100k\nadm_12_17_covid_confirmed\navg_adm_12_17_covid_confirmed\navg_adm_12_17_covid_confirmed_per_100k\n\nUpdated weekly each Friday at noon, ET.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/9t9r-e5a3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHQP",
          "hasEmail": "mailto:nhsn@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/g7yu-rfqd",
        "@type": "Organization",
        "name": "VYK7@cdc.gov"
      },
      "keyword": [
        "hospitalizations",
        "admissions",
        "coronavirus",
        "covid-19",
        "hospital capacity",
        "icu beds",
        "inpatient beds",
        "ncezid",
        "respiratory-virus-response"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9t9r-e5a3/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9t9r-e5a3",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9t9r-e5a3/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9t9r-e5a3",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9t9r-e5a3/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9t9r-e5a3/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9t9r-e5a3",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9t9r-e5a3/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Respiratory Virus Response (RVR) United States Hospitalization Metrics by Jurisdiction, Timeseries – ARCHIVED - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/9t9r-e5a3",
        "description": "Respiratory Virus Response (RVR) United States Hospitalization Metrics by Jurisdiction, Timeseries – ARCHIVED - Dataset Home",
        "issued": "2023-11-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/g7yu-rfqd",
            "@type": "Organization",
            "name": "VYK7@cdc.gov"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US, State/Territory, HHS Region"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2022 Final Assisted Reproductive Technology (ART) Summary",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment’s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient’s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/9tjt-seye",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ARTINFO",
          "hasEmail": "mailto:ARTINFO@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/uj8q-r4hw",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "success rates",
        "art",
        "assisted reproductive technology",
        "clinic",
        "fertility",
        "infertility",
        "services"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://data.cdc.gov/dataset/2020-Final-Assisted-Reproductive-Technology-ART-Su/9tjt-seye"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9tjt-seye/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9tjt-seye",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9tjt-seye/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9tjt-seye",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9tjt-seye/columns.json",
            "title": "Columns for this asset"
          }
        },
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        "description": "2022 Final Assisted Reproductive Technology (ART) Summary - Dataset Home",
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      "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 6 - Dallas",
      "description": "Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.",
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        "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 6 - Dallas - Dataset Home",
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      "description": "NNDSS - TABLE 1II. Tetanus to Trichinellosis – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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      "title": "PLACES: ZCTA Data (GIS Friendly Format), 2021 release",
      "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 29 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",
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      "identifier": "https://data.cdc.gov/api/views/9xc7-3a4q",
      "title": "AH Provisional COVID-19 Deaths by HHS Region, Race, Age 65plus",
      "description": "Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period, HHS region, race and Hispanic origin, and age groups (<65, 65-74. 75-84, 85+, and 65+).\n\nUnited States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Provisional COVID-19 Deaths by HHS Region, Race, Age 65plus",
          "description": "Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period, HHS region, race and Hispanic origin, and age groups (<65, 65-74. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/9xc7-3a4q",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Provisional COVID-19 Deaths by HHS Region, Race, Age 65plus",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "DQS Health, United States Dataset Footnote Lookup",
      "description": "List of footnotes, notes, and source information for Health, United States datasets. Each row of this dataset contains the accompanying text for a footnote found in a Health, United \nStates dataset. The footnote lookup can be merged onto any Health, United States dataset using FN_YEAR, HUS_SHORT_NAME, and FN_ID.\n\nSOURCE: CDC, National Center for Health Statistics, Health, United States",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/9xt5-u42s",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Center for Health Statistics",
          "hasEmail": "mailto:INFO@CDC.GOV"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/jmit-3bpd",
        "@type": "Organization",
        "name": "Choppell Maxwell"
      },
      "keyword": [
        "footnotes",
        "health-united-states"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9xt5-u42s/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9xt5-u42s",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9xt5-u42s/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9xt5-u42s",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9xt5-u42s/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9xt5-u42s/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9xt5-u42s",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9xt5-u42s/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "DQS Health, United States Dataset Footnote Lookup - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/9xt5-u42s",
        "description": "DQS Health, United States Dataset Footnote Lookup - Dataset Home",
        "issued": "2024-02-16",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/jmit-3bpd",
            "@type": "Organization",
            "name": "Choppell Maxwell"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Active Bacterial Core surveillance (ABCs) Group A Streptococcus",
      "description": "ABCs is an ongoing surveillance program that began in 1997. <a href=\"https://www.cdc.gov/abcs/reports/index.html\">ABCs reports</a> describe the ABCs case definition and the specific methodology used to calculate rates and estimated numbers in the United States for each bacterium by year.  The methods, <a href=\"https://www.cdc.gov/abcs/about/surv-areas-and-populations.html\">surveillance areas</a>, and <a href=\"https://www.cdc.gov/abcs/about/surv-areas-and-populations.html#Surveillance%20population%20and%20isolate%20collection\" >laboratory isolate collection areas</a> have changed over time.\n                Additionally, the way missing data are taken into account changed in 2010.  It went from distributing unknown values based on known values of cases by site to use of multiple imputation using a sequential regression imputation method.\n                Given these changes over time, trends should be interpreted with caution.\n<ul><li><a href=\"https://www.cdc.gov/abcs/methodology/index.html\">Methodology</a>\nFind details about surveillance population, case determination, surveillance evaluation, and more. </li> <li> <a href=\"https://www.cdc.gov/abcs/reports/index.html\">Reports and Findings</a>\nGet official interpretations from reports and publications created from ABCs data.\n</li>                </ul>",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/9y49-tura",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Active Bacterial Core surveillance",
          "hasEmail": "mailto:abcs@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/wnru-jmaq",
        "@type": "Organization",
        "name": "Active Bacterial Core Surveillance"
      },
      "keyword": [
        "abcs",
        "bactfacts"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9y49-tura/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9y49-tura",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9y49-tura/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9y49-tura",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9y49-tura/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9y49-tura/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9y49-tura",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9y49-tura/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Active Bacterial Core surveillance (ABCs) Group A Streptococcus - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/9y49-tura",
        "description": "Active Bacterial Core surveillance (ABCs) Group A Streptococcus - Dataset Home",
        "issued": "2021-06-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/wnru-jmaq",
            "@type": "Organization",
            "name": "Active Bacterial Core Surveillance"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Invasive Pneumococcal Diseases, Age <5",
      "description": "NNDSS - Table II. Invasive Pneumococcal Diseases, Age <5 - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting years 2016 and 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as <5 years.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/9yc3-yir3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nndss",
        "wonder",
        "netss",
        "mmwr",
        "nedss",
        "invasive pneumococcal diseases",
        "age <5",
        "2017"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9yc3-yir3/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9yc3-yir3",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9yc3-yir3/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9yc3-yir3",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9yc3-yir3/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9yc3-yir3/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9yc3-yir3",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9yc3-yir3/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Invasive Pneumococcal Diseases, Age <5 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/9yc3-yir3",
        "description": "NNDSS - Table II. Invasive Pneumococcal Diseases, Age <5 - Dataset Home",
        "issued": "2018-01-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "500 Cities: Local Data for Better Health, 2016 release",
      "description": "This is the complete dataset for the 500 Cities project 2016 release. This dataset includes 2013, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2013, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2009-2013, 2010-2014 estimates. More information about the methodology can be found at www.cdc.gov/500cities.\nNote: During the process of uploading the 2015 estimates, CDC found a data discrepancy in the published 500 Cities data for the 2014 city-level obesity crude prevalence estimates caused when reformatting the SAS data file to the open data format. . The small area estimation model and code were correct. This data discrepancy only affected the 2014 city-level obesity crude prevalence estimates on the Socrata open data file, the GIS-friendly data file, and the 500 Cities online application. The other obesity estimates (city-level age-adjusted and tract-level) and the Mapbooks were not affected. No other measures were affected. The correct estimates are update in this dataset on October 25, 2017.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/9z78-nsfp",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "500 Cities Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "tracts",
        "500cities",
        "census",
        "estimates",
        "prevalence"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/500-Cities/500-Cities-Local-Data-for-Better-Health-2016-relea/9z78-nsfp"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9z78-nsfp/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9z78-nsfp",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9z78-nsfp/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9z78-nsfp",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9z78-nsfp/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9z78-nsfp/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9z78-nsfp",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/9z78-nsfp/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9z78-nsfp/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9z78-nsfp",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9z78-nsfp/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9z78-nsfp",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/9z78-nsfp/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/9z78-nsfp",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "500 Cities: Local Data for Better Health, 2016 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/9z78-nsfp",
        "description": "500 Cities: Local Data for Better Health, 2016 release - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/9z9x-g48e",
      "identifier": "https://data.cdc.gov/api/views/9z9x-g48e",
      "title": "AH Provisional COVID-19 Deaths by Week, Sex, and Race and Hispanic Origin",
      "description": "Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by week, sex, and race and Hispanic origin. Deaths occurred in the United States.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Provisional COVID-19 Deaths by Week, Sex, and Race and Hispanic Origin",
          "description": "Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by week, sex, and race and Hispanic origin. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/9z9x-g48e",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Provisional COVID-19 Deaths by Week, Sex, and Race and Hispanic Origin",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Factors affecting chlorinated product formation from sodium hypochlorite bleach and limonene reactions in the gas phase",
      "description": "The application of sodium hypochlorite bleach to surfaces causes the release of chlorine (Cl2) and hypochlorous acid (HOCl) into the gas phase where reactions with organic compounds can occur. The purpose of the current study was to investigate the reaction products generated from gas-phase bleach oxidants and limonene, a fragrance compound commonly found in indoor air due to personal care products and cleaning products.  Gas-phase reactions were prepared in Teflon chambers housing HOCl, Cl2, and limonene.  The resulting chemical products were collected and analyzed using gas-phase preconcentration following by gas chromatography and high-resolution mass spectrometry.  Several chlorinated products were detected including a limonene chlorohydrin and limonene species containing one, two, and three chlorines.  Product concentration and yields were estimated for the most abundant products, and greater than 80% of the transformed limonene was represented in the detected products.  Temporal sampling of the reactions allowed time courses to be plotted for limonene transformation and chlorinated limonene product generation under different conditions including the treatments of HOCl/Cl2, Cl2 only, high vs. low relative humidity, and +/- ozone. These experiments provide additional insight into the chemical transformations initiated by sodium hypochlorite bleach oxidants in the gas phase which may be of interest to human health.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/9ziv-gyv9",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Chemical and Biological Monitoring Branch (CBMB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/9ziv-gyv9/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/9ziv-gyv9",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Factors affecting chlorinated product formation from sodium hypochlorite bleach and limonene reactions in the gas phase - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/9ziv-gyv9",
        "description": "Factors affecting chlorinated product formation from sodium hypochlorite bleach and limonene reactions in the gas phase - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 6 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 33 of 48 and corresponds to the time range between April 9, 2012, and April 23, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/9zr4-c7mm",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/9zr4-c7mm/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/9zr4-c7mm",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 6 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/9zr4-c7mm",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 6 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Prevalence of Hearing Loss in the United States by Industry, 2000-2008",
      "description": "Background: Twenty-two million workers are exposed to hazardous noise in the United States. The purpose of this study is to estimate the prevalence of hearing loss among U.S. industries.\n\nMethods: We examined 2000–2008 audiograms for male and female workers ages 18–65, who had higher occupational noise exposures than the general population. Prevalence and adjusted prevalence ratios (PRs) for hearing loss were estimated and compared across industries.\n\nResults: In our sample, 18% of workers had hearing loss. When compared with the Couriers and Messengers industry sub-sector, workers employed in Mining (PR = 1.65, CI = 1.57–1.73), Wood Product Manufacturing (PR = 1.65, CL = 1.61– 1.70), Construction of Buildings (PR = 1.59, CI = 1.51–1.68), and Real Estate and Rental and Leasing (PR = 1.61, CL = 1.51–1.71) had higher risks for hearing loss.\n\nConclusions: Workers in the Mining, Manufacturing, and Construction industries need better engineering controls for noise and stronger hearing conservation strategies. More hearing loss research is also needed within traditional ‘‘low-risk’’ industries like Real Estate.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/a2mg-p2ni",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH/Division of Field Studies and Engineering Health Informatics Branch",
          "hasEmail": "mailto:OHLSurveillance@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/a2mg-p2ni/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/a2mg-p2ni",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Prevalence of Hearing Loss in the United States by Industry, 2000-2008 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/a2mg-p2ni",
        "description": "Prevalence of Hearing Loss in the United States by Industry, 2000-2008 - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Commercial Medical Insurance (MSCANCC) - Vision and Eye Health Surveillance",
      "description": "2016, 2020, 2021, 2022, 2023. This dataset is a de-identified summary table of prevalence rates for vision and eye health data indicators from the 2016 MarketScan® Commercial Claims and Encounters Data (CCAE) is produced by Truven Health Analytics, a division of IBM Watson Health.  The CCEA data contain a convenience sample of insurance claims information from person with employer-sponsored insurance and their dependents, including 43.6 million person years of data. Prevalence estimates are stratified by all available combinations of age group, sex, and state.  Detailed information on VEHSS MarketScan analyses can be found on the VEHSS MarketScan webpage (cdc.gov/visionhealth/vehss/data/claims/marketscan.html). Information on available Medicare claims data can be found on the IBM MarketScan website (https://marketscan.truvenhealth.com). The VEHSS MarketScan summary dataset was last updated 2025.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/a35h-9yn4",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DDT Public Inquiries",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "service utilization",
        "truven",
        "eye exams",
        "marketscan",
        "claims",
        "diagnosed prevalence",
        "medical diagnoses"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Vision-Eye-Health/Shell-Commercial-Medical-Insurance-MSCANCC-Vision-/a35h-9yn4"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a35h-9yn4/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a35h-9yn4",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a35h-9yn4/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a35h-9yn4",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/a35h-9yn4/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a35h-9yn4/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a35h-9yn4",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/a35h-9yn4/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a35h-9yn4/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a35h-9yn4",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a35h-9yn4/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a35h-9yn4",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a35h-9yn4/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a35h-9yn4",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Commercial Medical Insurance (MSCANCC) - Vision and Eye Health Surveillance - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/a35h-9yn4",
        "description": "Commercial Medical Insurance (MSCANCC) - Vision and Eye Health Surveillance - Dataset Home",
        "issued": "2025-05-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 8 - Denver",
      "description": "Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/a37y-w96i",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "centers for disease control and prevention",
        "cdc"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a37y-w96i/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a37y-w96i",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a37y-w96i/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a37y-w96i",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/a37y-w96i/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a37y-w96i/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a37y-w96i",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/a37y-w96i/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a37y-w96i/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a37y-w96i",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a37y-w96i/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a37y-w96i",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a37y-w96i/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a37y-w96i",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 8 - Denver - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/a37y-w96i",
        "description": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 8 - Denver - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 60 years and older, United States",
      "description": "Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 60 Years and Older, United States\n\n• Estimated Number of RSV vaccinations among adults 60 years and older is assessed through IQVIA (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices.\n\n• Starting in September 2023, the CDC recommended the RSV vaccine for adults 60 years and older.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/a3gi-4phs",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "rsv vaccination",
        "iqvia",
        "adults"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a3gi-4phs/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a3gi-4phs",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a3gi-4phs/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a3gi-4phs",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/a3gi-4phs/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a3gi-4phs/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a3gi-4phs",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/a3gi-4phs/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 60 years and older, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/a3gi-4phs",
        "description": "Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 60 years and older, United States - Dataset Home",
        "issued": "2023-12-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/a5a8-jsrq",
      "identifier": "https://data.cdc.gov/api/views/a5a8-jsrq",
      "title": "U.S. State Life Expectancy by Sex, 2018",
      "description": "The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.)\nin 2018 for the total, male and female populations.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "U.S. State Life Expectancy by Sex, 2018",
          "description": "The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.) in 2018 for the total, male and female populations. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/a5a8-jsrq",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "U.S. State Life Expectancy by Sex, 2018",
        "accessURL": "https://www.cdc.gov/nchs/data-visualization/state-life-expectancy/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/a92y-5zud",
      "identifier": "https://data.cdc.gov/api/views/a92y-5zud",
      "title": "DQS Initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury: United States (Archived)",
      "description": "This topic is no longer available in the NCHS Data Query System (DQS). Data on initial injury-related visits to hospital emergency departments in the United States, by sex, age, and intent and mechanism of injury. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Hospital Ambulatory Medical Care Survey.\nSearch, visualize, and download these and other estimates from over 150 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury: United States (Archived)",
          "description": "This topic is no longer available in the NCHS Data Query System (DQS). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/a92y-5zud",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury: United States (Archived)",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus",
      "description": "NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as \"viral hemorrhagic fevers\". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/a93x-tfzm",
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        }
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      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nndss",
        "netss",
        "nedss",
        "guanarito virus",
        "2020",
        "crimean-congo hemorrhagic fever virus",
        "ebola virus",
        "wonder",
        "viral hemorrhagic fevers"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a93x-tfzm/export.csv?accessType=DOWNLOAD",
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          "mediaType": "text/csv",
          "modified": "2026-09-10"
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          "accessURL": "https://data.cdc.gov/d/a93x-tfzm",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/a93x-tfzm/columns.json",
            "title": "Columns for this asset"
          }
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/a93x-tfzm/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a93x-tfzm",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "@type": "Standard",
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            "title": "Columns for this asset"
          }
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/a93x-tfzm/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a93x-tfzm",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a93x-tfzm/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a93x-tfzm",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a93x-tfzm/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a93x-tfzm",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/a93x-tfzm",
        "description": "NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome",
      "description": "NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Includes data for old world hantavirus infections, such as Seoul virus infections. Prior to 2015, this condition was not nationally notifiable and data for this condition was not submitted to CDC's National Notifiable Diseases Surveillance System (NNDSS).\n¶ Includes data for Andes virus infections.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/a9xa-yrhn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "hantavirus pulmonary syndrome",
        "2020",
        "hansen's disease",
        "wonder",
        "non-hantavirus pulmonary syndrome",
        "nndss",
        "netss",
        "nedss",
        "hantavirus infection"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a9xa-yrhn/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a9xa-yrhn",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a9xa-yrhn/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a9xa-yrhn",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/a9xa-yrhn/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a9xa-yrhn/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a9xa-yrhn",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/a9xa-yrhn/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a9xa-yrhn/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a9xa-yrhn",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a9xa-yrhn/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a9xa-yrhn",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/a9xa-yrhn/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/a9xa-yrhn",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/a9xa-yrhn",
        "description": "NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1X. Meningococcal disease,  Other serogroups to Meningococcal disease, Unknown serogroup",
      "description": "NNDSS - TABLE 1X. Meningococcal disease,  Other serogroups to Meningococcal disease, Unknown serogroup - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/aagc-37gx",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "netss",
        "meningococcal disease",
        "wonder",
        "2019",
        "unknown serogroup",
        "other serogroups",
        "nedss",
        "nndss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/aagc-37gx/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/aagc-37gx",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/aagc-37gx/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/aagc-37gx",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/aagc-37gx/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/aagc-37gx/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/aagc-37gx",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/aagc-37gx/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1X. Meningococcal disease,  Other serogroups to Meningococcal disease, Unknown serogroup - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/aagc-37gx",
        "description": "NNDSS - TABLE 1X. Meningococcal disease,  Other serogroups to Meningococcal disease, Unknown serogroup - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "HAICViz - CDI",
      "description": "<p>The healthcare-associated infection component of CDC’s <a href=\"https://www.cdc.gov/ncezid/dpei/eip/index.html\" target=\"_blank\">EIP</a> engages a <a href=\"https://www.cdc.gov/ncezid/dpei/eip/eip-sites.html\" target=\"_blank\">network</a> of state health departments and their academic medical center partners to help answer critical questions about emerging HAI threats, advanced infection tracking methods, and antibiotic resistance in the United States. Information gathered through this activity will play a key role in shaping future policies and recommendations targeting HAI prevention. </p>",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/abgz-qs4g",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "HAIC",
          "hasEmail": "mailto:erib@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/be6k-25ty",
        "@type": "Organization",
        "name": "CDI"
      },
      "keyword": [
        "haicviz",
        "clostridioides difficile"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/abgz-qs4g/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/abgz-qs4g",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/abgz-qs4g/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/abgz-qs4g",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/abgz-qs4g/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/abgz-qs4g/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/abgz-qs4g",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/abgz-qs4g/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "HAICViz - CDI - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/abgz-qs4g",
        "description": "HAICViz - CDI - Dataset Home",
        "issued": "2022-11-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/be6k-25ty",
            "@type": "Organization",
            "name": "CDI"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Lyme disease public use line-listed data without geography, 2008-2021",
      "description": "Overview:\nPublic health surveillance data are collected and reported voluntarily to CDC by U.S. states and territories through the National Notifiable Diseases Surveillance System (NNDSS) (https://www.cdc.gov/nndss/index.html). Data include demographic, clinical, and geographic information; data do not include direct identifiers. Two types of datasets of human Lyme disease case data collected through public health surveillance are available: one includes annual case count aggregated by county of residence according to specific demographic variables and one is line-listed with patient demographic factors, month of illness onset, and clinical presentation information but without corresponding geographic information. These privacy-protected datasets were implemented in accordance with methodology described in Lee et al. Protecting Privacy and Transforming COVID-19 Case Surveillance Datasets for Public Use. Public Health Rep. 2021 Sep-Oct;136(5):554-561. doi: 10.1177/00333549211026817.\n\nLyme disease became nationally notifiable in 1991. Different surveillance case definitions have been in effect over time; details are available here: https://ndc.services.cdc.gov/conditions/lyme-disease/. In 2008, a probable case definition was included in public health surveillance for the first time. In 2022, states with a high incidence of Lyme disease started reporting cases based on laboratory evidence alone without requirement for a clinical investigation, precluding comparison with historical data (for more information: https://www.cdc.gov/mmwr/volumes/73/wr/mm7306a1.htm?s_cid=mm7306a1_w). As such, Lyme disease surveillance data are grouped into separate datasets based on when these major changes occurred; data are provided for download separately for 1992–2007, 2008–2021, and 2022 to current. Data will be updated annually upon final verification of Lyme disease surveillance data by health departments.\n\nData Limitations:\nSurveillance data have significant limitations that must be considered in the analysis, interpretation, and reporting of results.\n1. Under-reporting and misclassification are features common to all surveillance systems. Not every case of Lyme disease is reported to CDC, and some cases that are reported may be reflect illness due to another cause.\n2. Please note that before the 2022 surveillance case definition went into effect, several states with high Lyme disease incidence had initiated alternative methods of surveillance and those data were not reportable to CDC.\n3. Final case data are subject to each state’s abilities to capture and classify cases, which is dependent upon budget and personnel. This can vary not only between states, but also from year to year within a given state. Consequently, a sudden or marked change in reported cases does not necessarily represent a true change in disease incidence. Every effort should be made to construct analyses to limit overinterpretation of this variation (see the following reference for more context: Kugeler KJ, Eisen RJ. Challenges in Predicting Lyme Disease Risk. JAMA Netw Open. 2020 Mar 2;3(3):e200328. doi: 10.1001/jamanetworkopen.2020.0328.)",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/abzs-b3gw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Bacterial Diseases Branch Epidemiology & Surveillance Team",
          "hasEmail": "mailto:bdbepigroup@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/w6xk-sxm6",
        "@type": "Organization",
        "name": "xee5@cdc.gov"
      },
      "keyword": [
        "surveillance",
        "lyme disease"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/abzs-b3gw/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/abzs-b3gw",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/abzs-b3gw/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/abzs-b3gw",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/abzs-b3gw/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/abzs-b3gw/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/abzs-b3gw",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/abzs-b3gw/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Lyme disease public use line-listed data without geography, 2008-2021 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/abzs-b3gw",
        "description": "Lyme disease public use line-listed data without geography, 2008-2021 - Dataset Home",
        "issued": "2025-08-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/w6xk-sxm6",
            "@type": "Organization",
            "name": "xee5@cdc.gov"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States of America"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Legionellosis to Malaria",
      "description": "NNDSS - Table II. Legionellosis to Malaria - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\r\n \r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum.\r\n \r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/acdz-tk8j",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "legionellosis",
        "malaria",
        "nedss",
        "nndss",
        "wonder",
        "netss",
        "2018"
      ],
      "modified": "2026-09-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/acdz-tk8j/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/acdz-tk8j",
          "mediaType": "text/csv",
          "modified": "2026-09-08"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/acdz-tk8j/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/acdz-tk8j",
          "mediaType": "application/json",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/acdz-tk8j/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/acdz-tk8j/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/acdz-tk8j",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/acdz-tk8j/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Legionellosis to Malaria - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/acdz-tk8j",
        "description": "NNDSS - Table II. Legionellosis to Malaria - Dataset Home",
        "issued": "2019-01-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data (2010 and prior)",
      "description": "2002-2010. BRFSS SMART County Prevalence land line only data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected counties with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/acme-vg9e",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DPH Public Inquiries",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/6thr-55du",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "behavioral",
        "survey",
        "smart",
        "risk",
        "county",
        "...",
        "brfss"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/acme-vg9e/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/acme-vg9e",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/acme-vg9e/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/acme-vg9e",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/acme-vg9e/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/acme-vg9e/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/acme-vg9e",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/acme-vg9e/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/acme-vg9e/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/acme-vg9e",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/acme-vg9e/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/acme-vg9e",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/acme-vg9e/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/acme-vg9e",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data (2010 and prior) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/acme-vg9e",
        "description": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data (2010 and prior) - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/6thr-55du",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Influenza virus induced novel miRNAs regulate the STAT pathway",
      "description": "MicroRNAs are essential regulators of gene expression in humans and can control pathogenesis and host-virus interactions. Notably, the role of specific miRNAs during influenza virus infections are still ill-defined. The central goal of this study was to identify novel miRNAs and their target genes in response to influenza virus infections in airway epithelium. Human airway epithelial cells exposed to influenza virus induced several novel miRNAs that were identified using next generation sequencing (NGS) and their target genes by biochemical methods. NGS analysis predicted forty-two RNA sequences as possible miRNAs based on computational algorithms. Expression patterns of these putative miRNAs were further confirmed using RT-PCR in human bronchial epithelial cells (HBEpC) exposed to H1N1, H9N1(1P10) and H9N1 (1WF10) strains of influenza virus. A time course study showed significant downregulation of put-miR-34 in H1N1 and put-miR-35 in H9N1(1P10) infected cells, consistent with the NGS data. Additionally put-miR-34, and put-miR-35 showed a high fold enrichment in argonaute-immunoprecipitation compared to the controls, indicating their ability to form a complex with argonaute protein and RNA induced silencing complex (RISC), a typical mode of action found with miRNAs. Our earlier studies have shown that replication and survival of influenza virus is modulated by certain transcription factors, such as, NF-ĸB. To identify the target(s) of these putative miRNAs, we screened 84 transcription factors that have a role in viral pathogenesis. Cells transfected with mimic of the put-miR-34 showed significant decrease in expression of Signal Transducers and Activators of Transcription 3 (STAT3), and the inhibitor of put-miR-34 showed significant increase in STAT3 expression and its phosphorylation. In addition, put-miR-34 had 76% homology to the untranslated region (UTR) of STAT3. NGS and PCR array data submitted to the Gene Ontology also predicted the role of transcription factors modulated by put-miR-34. Our data suggests that put-miR-34 could be a good target for the antiviral therapy as the hyperactivation or inactivation of STAT3 results in viral disease, as tightly regulated STAT3 function is central to health.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/adnf-fpem",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Research, Allergy and Clinical Immunology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/adnf-fpem/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/adnf-fpem",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Influenza virus induced novel miRNAs regulate the STAT pathway - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/adnf-fpem",
        "description": "Influenza virus induced novel miRNAs regulate the STAT pathway - Dataset Home",
        "issued": "2024-11-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NOHSS Adult Indicators - 2010 And Prior BRFSS",
      "description": "Data from BRFSS for indicators of adult oral health for 1999 and even years from 2002 through 2010. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding. For more information, see: http://www.cdc.gov/oralhealthdata/overview/Adult_Indicators.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/aemk-wcbf",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Oral Health Inquiries",
          "hasEmail": "mailto:oralhealth@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/5ehu-79qp",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "adults",
        "access to care",
        "tooth loss",
        "dental visits",
        "dental cleaning"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Oral-Health/NOHSS-Adult-Indicators-2010-And-Prior-BRFSS/aemk-wcbf"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/aemk-wcbf/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/aemk-wcbf",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/aemk-wcbf/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/aemk-wcbf",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/aemk-wcbf/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/aemk-wcbf/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/aemk-wcbf",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/aemk-wcbf/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/aemk-wcbf/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/aemk-wcbf",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/aemk-wcbf/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/aemk-wcbf",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/aemk-wcbf/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/aemk-wcbf",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NOHSS Adult Indicators - 2010 And Prior BRFSS - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/aemk-wcbf",
        "description": "NOHSS Adult Indicators - 2010 And Prior BRFSS - Dataset Home",
        "issued": "2025-02-27",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/5ehu-79qp",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly United States Hospitalization Metrics by Jurisdiction, During Mandatory Reporting Period from August 1, 2020 to April 30, 2024, and for Data Reported Voluntarily Beginning May 1, 2024, National Healthcare Safety Network (NHSN) - ARCHIVED",
      "description": "<b>Note:</b> \nAfter November 1, 2024, this dataset will no longer be updated due to a transition in NHSN Hospital Respiratory Data reporting that occurred on Friday, November 1, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.\n\nDue to a recent update in voluntary NHSN Hospital Respiratory Data reporting that occurred on Wednesday, October 9, 2024, reporting levels and other data displayed on this page may fluctuate week-over-week beginning Friday, October 18, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.  Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient.   \n\nThis dataset represents weekly respiratory virus-related hospitalization data and metrics aggregated to national and state/territory levels reported during two periods: 1) data for collection dates from August 1, 2020 to April 30, 2024, represent data reported by hospitals during a mandated reporting period as specified by the HHS Secretary; and 2) data for collection dates beginning May 1, 2024, represent data reported voluntarily by hospitals to CDC’s National Healthcare Safety Network (NHSN). NHSN monitors national and local trends in healthcare system stress and capacity for up to approximately 6,000 hospitals in the United States. Data reported represent aggregated counts and include metrics capturing information specific to COVID-19- and influenza-related hospitalizations, hospital occupancy, and hospital capacity. Find more information about reporting to NHSN at: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.\n\n<b>Source: COVID-19 hospitalization data reported to CDC’s National Healthcare Safety Network (NHSN).</b>\n<ul><li><b>Data source description (updated October 18, 2024):</b> As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or ‘COVID-19 hospital data’) are reported to HHS through CDC’s National Healthcare Safety Network based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data are voluntarily reported to NHSN as of May 1, 2024 until November 1, 2024, at which time CMS will require acute care and critical access hospitals to electronically report information via NHSN about COVID-19, Influenza, and RSV, hospital bed census and capacity, and limited patient demographic information, including age. Data for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting period as specified by the HHS Secretary. Data for collection dates May 1, 2024, and onwards represent data reported voluntarily to NHSN; as such, data included represents reporting hospitals only for a given week and might not be complete or representative of all hospitals. NHSN monitors national and local trends in healthcare system stress and capacity for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about reporting to NHSN: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient.  </li><li><b>Data quality:</b> While CDC reviews reported data for completeness and errors and corrects those found, some reporting errors might still exist within the data. CDC and partners work with reporters to correct these errors and update the data in subse",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/aemt-mg7g",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHQP",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/8jxp-krex",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "hospitalizations",
        "hospital capacity",
        "admissions",
        "coronavirus",
        "covid-19",
        "inpatient beds",
        "influenza",
        "icu beds",
        "hospital occupancy"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/aemt-mg7g/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/aemt-mg7g",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/aemt-mg7g/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/aemt-mg7g",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/aemt-mg7g/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/aemt-mg7g/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/aemt-mg7g",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/aemt-mg7g/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly United States Hospitalization Metrics by Jurisdiction, During Mandatory Reporting Period from August 1, 2020 to April 30, 2024, and for Data Reported Voluntarily Beginning May 1, 2024, National Healthcare Safety Network (NHSN) - ARCHIVED - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/aemt-mg7g",
        "description": "Weekly United States Hospitalization Metrics by Jurisdiction, During Mandatory Reporting Period from August 1, 2020 to April 30, 2024, and for Data Reported Voluntarily Beginning May 1, 2024, National Healthcare Safety Network (NHSN) - ARCHIVED - Dataset Home",
        "issued": "2024-10-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/8jxp-krex",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Lung toxicity and gene expression changes in response to whole-body inhalation exposure to cellulose nanocrystal in rats",
      "description": "Nanomaterials represent a new class of materials with numerous industrial applications. Considering the projected increase in the production and use of nanomaterials, a corresponding increase in occupational exposure to nanomaterials and their resulting adverse health effects should be anticipated among workers. There is substantial evidence in the literature, based on cell culture and animal studies, supporting the potential toxicity and detrimental health effects associated with exposure to nanomaterials. Intervention and/or prevention of adverse health effects associated with occupational exposure to toxic nanomaterials will be a major concern for health providers and regulatory and non-regulatory government agencies as the use of nanomaterials expand. A key element in the intervention and/or prevention of the adverse health effects associated with occupational exposure to toxic nanomaterials is a clear understanding of the molecular mechanisms underlying the pulmonary toxicity induced by nanomaterials.\n\nDue to its physicochemical and mechanical properties, nanocellulose has found many applications in manufactured goods in the paper and food industry, cosmetics, biomedicine, and pharmaceuticals. There is potential for human exposure to nanocellulose or products that contain nanocellulose both during the production and use of the materials that contain nanocellulose. The objectives of the current study were to determine lung toxicity potential of crystalline nanocellulose (CNC) and the molecular mechanisms underlying the toxicity. A rat inhalation exposure model was employed to determine the lung toxicity potential of CNC. Global gene expression profile in the lung and bioinformatic analysis of the gene expression data were conducted to determine the molecular mechanisms underlying the CNC-induced lung toxicity.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/aeq9-xksa",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Toxicology and Molecular Biology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/aeq9-xksa/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/aeq9-xksa",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Lung toxicity and gene expression changes in response to whole-body inhalation exposure to cellulose nanocrystal in rats - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/aeq9-xksa",
        "description": "Lung toxicity and gene expression changes in response to whole-body inhalation exposure to cellulose nanocrystal in rats - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Vaccination Coverage among Adults (18+ Years)",
      "description": "Vaccination Coverage among Adults (18+ Years)\n\n• Data on adult vaccination coverage from the Behavioral Risk Factor Surveillance System (BRFSS) for the general population at the national, regional, and state levels by age groups.\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/adultvaxview/index.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/aetd-68ew",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "NCIRD"
      },
      "keyword": [
        "shingles",
        "immunization",
        "pneumococcal",
        "td",
        "tdap",
        "vaccination",
        "vaccination coverage",
        "vaxviews",
        "zoster"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/aetd-68ew/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/aetd-68ew",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/aetd-68ew/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/aetd-68ew",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/aetd-68ew/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/aetd-68ew/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/aetd-68ew",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/aetd-68ew/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Vaccination Coverage among Adults (18+ Years) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/aetd-68ew",
        "description": "Vaccination Coverage among Adults (18+ Years) - Dataset Home",
        "issued": "2021-07-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "NCIRD"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/aewi-gwni",
      "identifier": "https://data.cdc.gov/api/views/aewi-gwni",
      "title": "Asthma in children younger than age 18, by selected characteristics: United States.",
      "description": "Data on asthma in children younger than age 18 in the United States, by selected characteristics. Data are from Health, United States. Source: National Center for Health Statistics, National Health Interview Survey.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Asthma in children younger than age 18, by selected characteristics: United States.",
          "description": "Data on asthma in children younger than age 18 in the United States, by selected characteristics. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/aewi-gwni",
          "modified": "2025-06-24"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-06-24",
      "landingPage": {
        "@type": "Document",
        "title": "Asthma in children younger than age 18, by selected characteristics: United States.",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Giardiasis to Haemophilus influenza",
      "description": "NNDSS - Table II. Giardiasis to Haemophilus influenza - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n* Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n§ Data for H. influenzae (age <5 years for serotype b, nonserotype b, and unknown serotype) are available in Table I.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/afja-b25e",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "haemophilus influenzae",
        "mmwr",
        "nedss",
        "wonder",
        "nndss",
        "netss",
        "2016",
        "giardiasis",
        "gonorrhea"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/afja-b25e/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/afja-b25e",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/afja-b25e/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/afja-b25e",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/afja-b25e/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/afja-b25e/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/afja-b25e",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/afja-b25e/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Giardiasis to Haemophilus influenza - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/afja-b25e",
        "description": "NNDSS - Table II. Giardiasis to Haemophilus influenza - Dataset Home",
        "issued": "2017-01-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Census tracts with no Well Water Index (WWI) assigned",
      "description": "The WWI is a screening tool that uses nationally available datasets to summarize baseline characteristics about weather-related hazards and vulnerability at the census tract level for communities reliant on private wells. This dataset contains continental US census tracts for which no WWI was created due to less than 1 estimated person being on well water in the census tract. To visualize these data, please visit the Tracking Network at https://ephtracking.cdc.gov/DataExplorer/. For a lay description of these data, please visit https://ephtracking.cdc.gov/indicatorPages and for the scientific publication detailing these data please visit https://pubmed.ncbi.nlm.nih.gov/39510280/\n\nThe data for the nationally-normed WWI can be accessed here https://data.cdc.gov/dataset/Nationally-normed-WWI/fxwg-3udm/about_data.\n\nThe data for the state-normed WWI can be accessed here\nhttps://data.cdc.gov/dataset/State-Normed-WWI/snkv-n8f6/about_data",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/agqb-jgkw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Komal Peer",
          "hasEmail": "mailto:ruk8@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/gdpj-49x2",
        "@type": "Organization",
        "name": "SHANNON DEWITT"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/agqb-jgkw/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/agqb-jgkw",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/agqb-jgkw/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/agqb-jgkw",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/agqb-jgkw/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/agqb-jgkw/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/agqb-jgkw",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/agqb-jgkw/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Census tracts with no Well Water Index (WWI) assigned - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/agqb-jgkw",
        "description": "Census tracts with no Well Water Index (WWI) assigned - Dataset Home",
        "issued": "2025-09-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/gdpj-49x2",
            "@type": "Organization",
            "name": "SHANNON DEWITT"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:032"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Influenza Vaccination Coverage, by Flu Season and Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse",
      "description": "• Influenza vaccination coverage among Medicare fee-for-service beneficiaries 65 years and older is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS). \n\n• Weekly influenza vaccination coverage estimates were calculated using Kaplan-Meier survival analysis, based on beneficiaries enrolled as of August 1 at the start of each flu season (example: Aug 1, 2021) until the end of the current season reporting time period or the end of May the following year for prior seasons (example: May 28, 2022). Influenza vaccines received since August 1 of each season, among adults who were 65 years or older as of the end of the first year of the season (e.g., December 31, 2025 for the 2025–26 season), were included.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/agz7-4mvg",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "iqvia",
        "nis",
        "iis",
        "vsd",
        "flu vaccination"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/agz7-4mvg/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/agz7-4mvg",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/agz7-4mvg/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/agz7-4mvg",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/agz7-4mvg/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/agz7-4mvg/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/agz7-4mvg",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/agz7-4mvg/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Influenza Vaccination Coverage, by Flu Season and Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/agz7-4mvg",
        "description": "Weekly Cumulative Influenza Vaccination Coverage, by Flu Season and Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse - Dataset Home",
        "issued": "2025-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Preliminary U.S. COVID-19 Burden Estimates",
      "description": "This dataset represents preliminary weekly estimates of cumulative U.S. COVID-19 burden, including illnesses, outpatient visits, hospitalizations and deaths, since the start of 2024 respiratory season. Estimates are preliminary, and use reported weekly hospitalizations among people with a laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The data are updated weekly as new COVID-19 hospitalizations are reported to CDC from the COVID-NET surveillance system and include both new admissions that occurred during the reporting week, as well as those admitted in previous weeks that may not have been included in earlier reporting. Each week CDC estimates a range (i.e., a lower estimate and an upper estimate) of COVID-19 hospitalizations, illnesses, outpatient visits, and deaths that have occurred since the start of respiratory season. For details, please refer to the publications [1, 8].  \n\n<b>Note:</b> Data are preliminary and subject to change as updated data become available. Rates for recent COVID-19 hospital admissions are subject to reporting delays; as new data are received each week, previous rates are updated accordingly. The methodology used for COVID-19 burden estimation between the surveillance periods was updated to account for inclusion of additional surveillance sites, seasonal changes to adjustment factors, revised outpatient visits, illnesses and death multiplier ratios, and improvements in estimation methods [1].\n\n<b>References</b>\n1. Koumans EHA, Khan D, Trejo I, et al; Estimate of Burden of COVID-19 Workgroup. Estimated burden of COVID-19 illnesses, medical visits, hospitalizations, and deaths in the US from October 2022 to September 2024. JAMA Intern Med. Published online January 5, 2026. <a href=\"https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2843383#250739811\">Estimated Burden of COVID-19 Illnesses, Medical Visits, Hospitalizations, and Deaths in the US From October 2022 to September 2024 | Coronavirus (COVID-19) | JAMA Internal Medicine | JAMA Network</a><br>2. Reed C, Chaves SS, Daily Kirley P, et al. Estimating influenza disease burden from population-based surveillance data in the United States. PLoS One. 2015;10(3):e0118369. <a href=\"https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0118369\">Estimating Influenza Disease Burden from Population-Based Surveillance Data in the United States | PLOS One</a><br>3. Rolfes, MA, Foppa, IM, Garg, S, et al. Annual estimates of the burden of seasonal influenza in the United States: A tool for strengthening influenza surveillance and preparedness. Influenza Other Respi Viruses. 2018; 12: 132– 137. <a href=\"https://doi.org/10.1111/irv.12486\">https://doi.org/10.1111/irv.12486</a><br>4. Tokars JI, Rolfes MA, Foppa  IM, Reed C.  An evaluation and update of methods for estimating the number of influenza cases averted by vaccination in the United States. Vaccine. 2018;36(48):7331-7337. doi:10.1016/j.vaccine.2018.10.026 <br>5. Collier SA, Deng L, Adam EA, Benedict KM, Beshearse EM, Blackstock AJ, Bruce BB, Derado G, Edens C, Fullerton KE, Gargano JW, Geissler AL, Hall AJ, Havelaar AH, Hill VR, Hoekstra RM, Reddy SC, Scallan E, Stokes EK, Yoder JS, Beach MJ. Estimate of Burden and Direct Healthcare Cost of Infectious Waterborne Disease in the United States. Emerg Infect Dis. 2021 Jan;27(1):140-149. doi: 10.3201/eid2701.190676. PMID: 33350905; PMCID: PMC7774540. <br>6. Reed C, Kim IK, Singleton JA,  et al. Estimated influenza illnesses and hospitalizations averted by vaccination–United States, 2013-14 influenza season. MMWR Morb Mortal Wkly Rep. 2014 Dec 12;63(49):1151-4. https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6349a2.htm <br>7. Reed C, Angulo FJ, Swerdlow DL, et al. Estimates of the Prevalence of Pandemic (H1N1) 2009, United States, April–July 2009. Emerg Infect Dis. 2009;15(12):2004-2007.<a href=\"https://dx.doi.org/10.3201/eid1512.091413\">https://dx.doi.org/10.3201/eid1512.091413</a> <br>8. Devine",
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        }
      ],
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        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
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        "outpatient visits",
        "illnesses",
        "hospitalizations",
        "deaths",
        "covid-19",
        "coronavirus"
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      "modified": "2026-09-18",
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          }
        }
      ],
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        "@type": "Document",
        "title": "Preliminary U.S. COVID-19 Burden Estimates - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ahrf-yqdt",
        "description": "Preliminary U.S. COVID-19 Burden Estimates - Dataset Home",
        "issued": "2024-10-04",
        "publisher": [
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            "name": "CDC"
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        ]
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          "startDate": "2024-10-01",
          "endDate": "2026-08-29"
        }
      ],
      "license": "https://www.usa.gov/government-works",
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        "009:20"
      ],
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        "009:020"
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, Census Tract Data 2024 release",
      "description": "This dataset contains model-based census tract estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ai6z-tcin",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "places",
        "prevention",
        "risk",
        "status",
        "health",
        "disability",
        "census tract",
        "brfss",
        "behaviors",
        "outcomes",
        "prevalence"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-Census-Tract-D/cwsq-ngmh"
      },
      "distribution": [
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        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ai6z-tcin/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ai6z-tcin",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ai6z-tcin/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ai6z-tcin/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ai6z-tcin",
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            "accessURL": "https://data.cdc.gov/api/views/ai6z-tcin/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ai6z-tcin/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ai6z-tcin",
          "mediaType": "application/geo+json",
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        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ai6z-tcin/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ai6z-tcin",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ai6z-tcin/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ai6z-tcin",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Local Data for Better Health, Census Tract Data 2024 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ai6z-tcin",
        "description": "PLACES: Local Data for Better Health, Census Tract Data 2024 release - Dataset Home",
        "issued": "2025-12-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
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        "009:20"
      ],
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        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Biological effects of inhaled crude oil vapor. III. Pulmonary effects",
      "description": "Workers involved in oil exploration and production in the upstream petroleum industry are exposed to crude oil vapor (COV).  COV levels in the proximity of workers during production tank gauging and opening of thief hatches can exceed regulatory standards, and several deaths have occurred after opening thief hatches.  There is a paucity of information regarding the effects of COV inhalation in the lung.  To address these knowledge gaps, the present hazard identification study was one of six undertaken to investigate the effects of inhaled COV in a rat animal model.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/aian-amjw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Pathology and Physiology Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/aian-amjw/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/aian-amjw",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Biological effects of inhaled crude oil vapor. III. Pulmonary effects - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/aian-amjw",
        "description": "Biological effects of inhaled crude oil vapor. III. Pulmonary effects - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/aie4-agrk",
      "identifier": "https://data.cdc.gov/api/views/aie4-agrk",
      "title": "AH Monthly Provisional COVID-19 Deaths, by Census Region, Age, and Race and Hispanic Origin",
      "description": "Deaths involving coronavirus disease 2019 (COVID-19) by month of death, region, age, place of death, and race and Hispanic origin.",
      "contactPoint": {
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        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
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        "name": "National Center for Health Statistics (NCHS)",
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          }
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      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Monthly Provisional COVID-19 Deaths, by Census Region, Age, and Race and Hispanic Origin",
          "description": "Deaths involving coronavirus disease 2019 (COVID-19) by month of death, region, age, place of death, and race and Hispanic origin. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/aie4-agrk",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Monthly Provisional COVID-19 Deaths, by Census Region, Age, and Race and Hispanic Origin",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "National Immunization Survey Adult COVID Module (NIS-ACM): Trends in Vaccination Status and Intent",
      "description": "National Immunization Survey-Adult COVID Module (NIS-ACM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. These data represent trends in vaccination status and intent by week for the national-level view, and by month for the jurisdiction-level view.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/akkj-j5ru",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "James Singleton",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
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      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "NCIRD"
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      "keyword": [
        "nis-acm",
        "covid-19 vaccination",
        "covid tracker"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/akkj-j5ru/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/akkj-j5ru",
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        },
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            "title": "Columns for this asset"
          }
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/akkj-j5ru/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/akkj-j5ru",
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            "accessURL": "https://data.cdc.gov/api/views/akkj-j5ru/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Immunization Survey Adult COVID Module (NIS-ACM): Trends in Vaccination Status and Intent - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/akkj-j5ru",
        "description": "National Immunization Survey Adult COVID Module (NIS-ACM): Trends in Vaccination Status and Intent - Dataset Home",
        "issued": "2022-07-06",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "NCIRD"
          }
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        "009:20"
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        "009:026"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC PRAMStat Data for 2006",
      "description": "2006. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/akmt-4qtj",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DRH Public Inquiries",
          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/uj8q-r4hw",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "unintended pregnancy",
        "wic",
        "tobacco use",
        "stress",
        "smoke exposure",
        "sleep behavior",
        "reproductive health",
        "prenatal care",
        "pregnancy history",
        "preconception health",
        "obesity",
        "morbidity",
        "mental health",
        "medicaid",
        "infant health",
        "contraception",
        "breastfeeding",
        "alcohol use",
        "abuse"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2006/akmt-4qtj"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/akmt-4qtj/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/akmt-4qtj",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/akmt-4qtj/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/akmt-4qtj",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/akmt-4qtj/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/akmt-4qtj",
          "mediaType": "application/xml",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/akmt-4qtj/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/akmt-4qtj",
          "mediaType": "application/geo+json",
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        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/akmt-4qtj/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/akmt-4qtj",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/akmt-4qtj/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/akmt-4qtj",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC PRAMStat Data for 2006 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/akmt-4qtj",
        "description": "CDC PRAMStat Data for 2006 - Dataset Home",
        "issued": "2023-07-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/uj8q-r4hw",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
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      "programCode": [
        "009:020"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly United States COVID-19 Hospitalization Metrics by County – ARCHIVED",
      "description": "<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.\n\n<b>Note:</b>\n<b>May 3,2024:</b> Due to incomplete or missing hospital data received for the April 21,2024 through April 27, 2024 reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on May 3, 2024.\n\nThis dataset represents COVID-19 hospitalization data and metrics aggregated to county or county-equivalent, for all counties or county-equivalents (including territories) in the United States. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.\n\n<b>Reporting information:</b><ul><li>As of December 15, 2022, COVID-19 hospital data are required to be reported to  NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS). </li><li>While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.</li><li>Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.  </li><li>Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files. </li> <li>Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf</li></ul>\n<b>Calculation of county-level hospital metrics:</b><ul><li>County-level hospital data are derived using calculations performed at the Health Service Area (HSA) level. An HSA is defined by CDC’s National Center for Health Statistics as a geographic area containing at least one county which is self-contained with respect to the population’s provision of routine hospital care. Every county in the United States is assigned to an HSA, and each HSA must contain at least one hospital. Therefore, use of HSAs in the calculation of local hospital metrics allows for more accurate characterization of the relationship between health care utilization and health status at the local level. </li><li>Data presented at the county-level represent admissions, hospital inpatient and ICU bed capacity and occupancy among hosp",
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        "@type": "Document",
        "title": "Weekly United States COVID-19 Hospitalization Metrics by County – ARCHIVED - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/akn2-qxic",
        "description": "Weekly United States COVID-19 Hospitalization Metrics by County – ARCHIVED - Dataset Home",
        "issued": "2023-05-25",
        "publisher": [
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC Wastewater Data for Measles",
      "description": "This dataset provides a complete time history of measles wastewater sample data and calculated metrics from US sampling locations.\n\nCDC’s National Wastewater Surveillance System (NWSS) includes data collected and reported by:\n• All data with a source designation of “State_Territory” were generated by state and local health departments are reported to CDC and supported with funding through the Epidemiology and Laboratory Capacity for the Prevention and Control of Emerging Infectious Diseases (ELC) Cooperative Agreement (https://www.cdc.gov/epidemiology-laboratory-capacity/php/our-work/index.html).\n• All data with a source designation of “CDC_Verily” were generated by CDC’s national wastewater testing contract (currently with Verily Life Sciences, LLC).\n• All data with a source designation of “WastewaterSCAN” were generated by WastewaterSCAN, a partnership between Stanford University, Emory University, and Verily. All results are understood to be based on inputs that are experimental in nature and are not intended to diagnose or treat any disease. The results are provided “as is” and without warranty of any kind. Stanford does not accept liability for any claim arising out of or in connection with the disclosure of these results. WastewaterSCAN indicates that by accessing or copying any part of the database, the user accepts the terms of Stanford’s license (CC BY-NC 4.0). These data are being made available to inform public health decision making. Anyone seeking to use the database for other purposes or for research is required to contact the WastewaterSCAN / SCAN team (email: wwscan_stanford_emory@lists.stanford.edu) and any use of the data should be cited appropriately (https://data.wastewaterscan.org/about/#18).\n\nLearn more at: www.cdc.gov/wastewater.\n\nThis dataset is updated weekly on Fridays.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/akvg-8vrb",
      "contactPoint": [
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          "fn": "National Wastewater Surveillance System (NWSS)",
          "hasEmail": "mailto:NWSS@cdc.gov"
        }
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      "publisher": {
        "@id": "https://data.cdc.gov/user/mt3r-qr2b",
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        "ncezid",
        "united states",
        "measles wild type",
        "nwss",
        "measles",
        "wastewater",
        "weekly"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/akvg-8vrb/export.csv?accessType=DOWNLOAD",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/akvg-8vrb/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/akvg-8vrb",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
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          "downloadURL": "https://data.cdc.gov/api/v3/views/akvg-8vrb/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/akvg-8vrb",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC Wastewater Data for Measles - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/akvg-8vrb",
        "description": "CDC Wastewater Data for Measles - Dataset Home",
        "issued": "2026-03-06",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/mt3r-qr2b",
            "@type": "Organization",
            "name": "NWSS"
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        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US States and Territories"
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      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2011 (Part 8 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 16 of 48 and corresponds to the time range between March 7, 2011, and April 4, 2011.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/am73-spnp",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/download/am73-spnp/application/x-zip-compressed",
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 8 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/am73-spnp",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 8 of 19) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
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        ]
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      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics and by Season, 2025– 26 and 2025–26 Compared with 2024–25, Children 6 Months–17 Years, United States",
      "description": "• Weekly Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics and by Season, 2025–26 and 2025–26 Compared with 2024–25, Children 6 Months–17 Years, United States. \n\n• Weekly Influenza vaccination coverage and parental intent for vaccination among children is calculated using data from the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html). NIS–Flu is a national random-digit-dialed cellular telephone survey of households with children ages 6 months–17 years conducted during October-June. The respondent to a NIS–Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.\n\n• The NIS-Flu data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/amjr-ph5r",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "flu vaccination",
        "nis-flu",
        "nis-ccm"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/amjr-ph5r/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/amjr-ph5r",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/amjr-ph5r/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/amjr-ph5r",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/amjr-ph5r/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/amjr-ph5r",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/amjr-ph5r/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics and by Season, 2025– 26 and 2025–26 Compared with 2024–25, Children 6 Months–17 Years, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/amjr-ph5r",
        "description": "Weekly Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics and by Season, 2025– 26 and 2025–26 Compared with 2024–25, Children 6 Months–17 Years, United States - Dataset Home",
        "issued": "2025-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
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        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
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      "license": "https://www.usa.gov/government-works",
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, HHS Region 1 - Boston",
      "description": "Rate of deaths by age/sex (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.\n\nUpdated on April 28, 2025, to comply with the President’s Executive Order 14168.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/an65-3p9b",
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          "fn": "CDC INFO",
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        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
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        "centers for disease control and prevention",
        "cdc"
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      "modified": "2026-09-09",
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          "accessURL": "https://data.cdc.gov/d/an65-3p9b",
          "mediaType": "text/csv",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/an65-3p9b/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/an65-3p9b",
          "mediaType": "application/json",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/an65-3p9b/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/an65-3p9b",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/an65-3p9b/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/an65-3p9b/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/an65-3p9b",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/an65-3p9b/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/an65-3p9b",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
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          "downloadURL": "https://data.cdc.gov/api/v3/views/an65-3p9b/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/an65-3p9b",
          "mediaType": "application/vnd.google-earth.kmz",
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, HHS Region 1 - Boston - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/an65-3p9b",
        "description": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, HHS Region 1 - Boston - Dataset Home",
        "issued": "2016-10-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary",
      "description": "NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ap9g-4wiq",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "streptococcal toxic shock syndrome",
        "wonder",
        "syphilis",
        "2019",
        "congenital",
        "nedss",
        "netss",
        "nndss",
        "primary and secondary"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ap9g-4wiq",
        "description": "NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary - Dataset Home",
        "issued": "2019-04-26",
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      "inventoried": "2026-09-27"
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      "title": "2022–2023 Nationwide Blood Donor Seroprevalence Survey Combined Infection- and Vaccination-Induced Seroprevalence Estimates",
      "description": "CDC is collaborating with Vitalant Research Institute, American Red Cross, and Westat Inc. to conduct a nationwide COVID-19 seroprevalence survey of blood donors. De-identified blood samples are tested for antibodies to SARS-CoV-2 to better understand the percentage of people in the United States who have antibodies against SARS-CoV-2 (the virus that causes COVID-19) and to track how this percentage changes over time. Both SARS-CoV-2 infection and COVID-19 vaccines currently used in the United States result in production of anti-spike (anti-S) antibodies but only infection results in production of anti-nucleocapsid (anti-N) antibodies.\nInfection-induced seroprevalence estimates the proportion of the population with antibody evidence of previous SARS-CoV-2 infection and refers to the percent of the population with anti-nucleocapsid antibodies.\nCombined infection-Induced and Vaccination-Induced seroprevalence estimates the proportion of the population with antibody evidence of previous SARS-CoV-2 infection, COVID-19 vaccination, or both, and refers to the percent of the population that has anti-spike antibodies, anti-nucleocapsid antibodies, or both.\n\nThis link connects to a webpage that displays the data from the Nationwide Blood Donor Seroprevalence Survey. It offers an interactive visualization available at https://covid.cdc.gov/covid-data-tracker/#nationwide-blood-donor-seroprevalence-2022",
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      "inventoried": "2026-09-27"
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      "@type": "Dataset",
      "title": "NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable",
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      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
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        "wonder",
        "probable",
        "nndss",
        "netss",
        "nedss",
        "2022",
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      ],
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          "mediaType": "application/json",
          "modified": "2026-09-10",
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        "description": "NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable - Dataset Home",
        "issued": "2022-01-14",
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      "@type": "Dataset",
      "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Age-adjusted Prevalence Data (2011 to Present)",
      "description": "2011 to present. BRFSS SMART MMSA age-adjusted prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary:  https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/at7e-uhkc",
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          "fn": "CDC UserSA",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
      ],
      "publisher": {
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      ],
      "modified": "2026-09-22",
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          "accessURL": "https://data.cdc.gov/d/at7e-uhkc",
          "mediaType": "application/xml",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/at7e-uhkc/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/at7e-uhkc",
          "mediaType": "application/geo+json",
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        },
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          "accessURL": "https://data.cdc.gov/d/at7e-uhkc",
          "mediaType": "application/vnd.google-earth.kml+xml",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/at7e-uhkc/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/at7e-uhkc",
          "mediaType": "application/vnd.google-earth.kmz",
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      ],
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        "@type": "Document",
        "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Age-adjusted Prevalence Data (2011 to Present) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/at7e-uhkc",
        "description": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Age-adjusted Prevalence Data (2011 to Present) - Dataset Home",
        "issued": "2023-07-19",
        "publisher": [
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    },
    {
      "@type": "Dataset",
      "title": "CDC Wastewater Viral Activity Level for SARS-CoV-2, Influenza A and RSV",
      "description": "This dataset provides a complete time history of weekly SARS-CoV-2, Influenza A, and RSV wastewater viral activity level (WVAL) values from US sampling locations. \n\nLearn more at: https://www.cdc.gov/wastewater\nThis dataset is updated weekly on Fridays.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/atcp-73re",
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          "fn": "National Wastewater Surveillance System (NWSS)",
          "hasEmail": "mailto:nwss@cdc.gov"
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      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/mt3r-qr2b",
        "@type": "Organization",
        "name": "CDC NWSS"
      },
      "keyword": [
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        "covid-19",
        "influenza a",
        "ncezid",
        "nwss",
        "rsv",
        "respiratory syncytial virus",
        "sars-cov-2",
        "united states",
        "wastewater",
        "weekly"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/atcp-73re/export.csv?accessType=DOWNLOAD",
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            "title": "Columns for this asset"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC Wastewater Viral Activity Level for SARS-CoV-2, Influenza A and RSV - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/atcp-73re",
        "description": "CDC Wastewater Viral Activity Level for SARS-CoV-2, Influenza A and RSV - Dataset Home",
        "issued": "2026-03-06",
        "publisher": [
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            "@type": "Organization",
            "name": "CDC NWSS"
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      "spatial": {
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        "prefLabel": "US States and Territories"
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      "license": "https://www.usa.gov/government-works",
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1AA.  Poliovirus infection, nonparalytic to Psittacosis",
      "description": "NNDSS - TABLE 1AA.  Poliovirus infection, nonparalytic to Psittacosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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      "identifier": "https://data.cdc.gov/api/views/axgy-8qey",
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        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
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        "psittacosis",
        "poliovirus infection",
        "nonparalytic",
        "netss",
        "nedss",
        "wonder",
        "2019"
      ],
      "modified": "2026-09-10",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/axgy-8qey/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/axgy-8qey",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/axgy-8qey/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/axgy-8qey",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/axgy-8qey",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1AA.  Poliovirus infection, nonparalytic to Psittacosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/axgy-8qey",
        "description": "NNDSS - TABLE 1AA.  Poliovirus infection, nonparalytic to Psittacosis - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
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      "bureauCode": [
        "009:00"
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      "programCode": [
        "009:020"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus",
      "description": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as \"viral hemorrhagic fevers\". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/axsa-zcg5",
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        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
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        "name": "aso7@cdc.gov"
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        "nndss",
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        "lassa virus",
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        "nedss",
        "netss",
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      ],
      "modified": "2026-09-08",
      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/axsa-zcg5",
          "mediaType": "application/json",
          "modified": "2026-09-08",
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        },
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          "accessURL": "https://data.cdc.gov/d/axsa-zcg5",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/axsa-zcg5/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/axsa-zcg5",
          "mediaType": "application/geo+json",
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        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/axsa-zcg5/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/axsa-zcg5",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-08"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/axsa-zcg5/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/axsa-zcg5",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-08"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/axsa-zcg5",
        "description": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
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      "bureauCode": [
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      ],
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days),  2012 & 2014, Region 4 - Atlanta",
      "description": "Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/azgh-hvnt",
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        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "cdc",
        "centers for disease control and prevention"
      ],
      "modified": "2026-09-08",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/azgh-hvnt/export.csv?accessType=DOWNLOAD",
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          "mediaType": "text/csv",
          "modified": "2026-09-08"
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          "accessURL": "https://data.cdc.gov/d/azgh-hvnt",
          "mediaType": "application/json",
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          "accessURL": "https://data.cdc.gov/d/azgh-hvnt",
          "mediaType": "application/xml",
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          "accessURL": "https://data.cdc.gov/d/azgh-hvnt",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/azgh-hvnt/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/azgh-hvnt",
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          "modified": "2026-09-08"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/azgh-hvnt/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/azgh-hvnt",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-08"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days),  2012 & 2014, Region 4 - Atlanta - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/azgh-hvnt",
        "description": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days),  2012 & 2014, Region 4 - Atlanta - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
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      "bureauCode": [
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "U.S. State and Territorial Orders Closing and Reopening Restaurants Issued from March 11, 2020 through August 15, 2021 by County by Day",
      "description": "State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when restaurants in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data can be used to determine when restaurants in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.\n\nThese data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly close or reopen restaurants found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through August 15, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/azmd-939x",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "T.J. Pierce",
          "hasEmail": "mailto:pwc2@cdc.gov"
        }
      ],
      "publisher": {
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        "@type": "Organization",
        "name": "Environmental Public Health Tracking"
      },
      "keyword": [
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        "business closure",
        "business reopening",
        "covid-19",
        "executive order",
        "government order",
        "legal epidemiology",
        "mitigation",
        "proclamation",
        "public health order"
      ],
      "modified": "2026-09-10",
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        },
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          }
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/azmd-939x/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/azmd-939x",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "U.S. State and Territorial Orders Closing and Reopening Restaurants Issued from March 11, 2020 through August 15, 2021 by County by Day - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/azmd-939x",
        "description": "U.S. State and Territorial Orders Closing and Reopening Restaurants Issued from March 11, 2020 through August 15, 2021 by County by Day - Dataset Home",
        "issued": "2021-09-10",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/qwcg-irwv",
            "@type": "Organization",
            "name": "Environmental Public Health Tracking"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1O.  Hansen's disease to Hantavirus pulmonary syndrome",
      "description": "NNDSS - TABLE 1O.  Hansen's disease to Hantavirus pulmonary syndrome - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/azpx-5hzx",
      "contactPoint": [
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
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      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
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        "netss",
        "nedss",
        "hantavirus pulmonary syndrome",
        "hantavirus infection",
        "hansen's disease",
        "nndss",
        "2019",
        "non-hantavirus pulmonary syndrome"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          }
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/azpx-5hzx/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/azpx-5hzx",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1O.  Hansen's disease to Hantavirus pulmonary syndrome - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/azpx-5hzx",
        "description": "NNDSS - TABLE 1O.  Hansen's disease to Hantavirus pulmonary syndrome - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
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        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "US Census Annual Estimates of the Resident Population for Selected Age Groups by Sex for the United States",
      "description": "2010-2018; 2019. US Census Annual Estimates of the Resident Population for Selected Age Groups by Sex for the United States. The estimates for the 2010-2018 dataset are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. Median age is calculated based on single year of age. The estimates for 2019 are based on a one-year dataset that was published on the US Census website in 2021. For population estimates methodology statements, see http://www.census.gov/popest/methodology/index.html.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/b2jx-uyck",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "census estimates",
        "age by sex",
        "osh"
      ],
      "modified": "2026-09-22",
      "describedBy": {
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        "downloadURL": "https://chronicdata.cdc.gov/Tobacco-Use/U-S-Census-Annual-Estimates-of-the-Resident-Popula/b2jx-uyck"
      },
      "distribution": [
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        },
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          "accessURL": "https://data.cdc.gov/d/b2jx-uyck",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b2jx-uyck/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b2jx-uyck/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b2jx-uyck",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b2jx-uyck/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b2jx-uyck/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b2jx-uyck",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b2jx-uyck/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b2jx-uyck",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b2jx-uyck/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b2jx-uyck",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "US Census Annual Estimates of the Resident Population for Selected Age Groups by Sex for the United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/b2jx-uyck",
        "description": "US Census Annual Estimates of the Resident Population for Selected Age Groups by Sex for the United States - Dataset Home",
        "issued": "2025-01-31",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Cryptosporidiosis to Dengue Hemorrhagic Fever",
      "description": "NNDSS - Table II. Cryptosporidiosis to Dengue Hemorrhagic Fever - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Dengue Fever includes cases that meet criteria for Dengue Fever with hemorrhage, other clinical, and unknown case classifications. �� DHF includes cases that meet criteria for dengue shock syndrome (DSS), a more severe form of DHF.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/b36e-ru3r",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "dengue hemorrhagic fever",
        "2014",
        "cryptosporidiosis",
        "dengue fever",
        "mmwr",
        "nedss",
        "netss",
        "nndss",
        "wonder"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b36e-ru3r/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b36e-ru3r",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b36e-ru3r/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b36e-ru3r",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b36e-ru3r/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b36e-ru3r/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b36e-ru3r",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b36e-ru3r/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Cryptosporidiosis to Dengue Hemorrhagic Fever - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/b36e-ru3r",
        "description": "NNDSS - Table II. Cryptosporidiosis to Dengue Hemorrhagic Fever - Dataset Home",
        "issued": "2015-01-08",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rates of TBI-related Emergency Department Visits, Hospitalizations, and Deaths by Sex - United States, 2001 – 2010",
      "description": "Overall rates of TBI climbed slowly from 2001 through 2007, then spiked sharply in 2008 and continued to climb through 2010.  The increase in TBI rates in 2008 was much sharper for men (nearly 40% increase) than for women (20% increase).  In 2007, overall rates of TBI were 26% higher in men compared to women.  In 2008, that gap began to widen, reaching 61% in 2009 before narrowing to 29% in 2010.  Rates of overall TBI are largely driven by rates of TBI-related ED visits.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/b4av-siev",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "traumatic brain injury",
        "brain injury",
        "tbi",
        "head trauma"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b4av-siev/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b4av-siev",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b4av-siev/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b4av-siev",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b4av-siev/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b4av-siev/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b4av-siev",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b4av-siev/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Rates of TBI-related Emergency Department Visits, Hospitalizations, and Deaths by Sex - United States, 2001 – 2010 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/b4av-siev",
        "description": "Rates of TBI-related Emergency Department Visits, Hospitalizations, and Deaths by Sex - United States, 2001 – 2010 - Dataset Home",
        "issued": "2014-04-02",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Hepatitis C: Commercial Laboratory Residual Sera, November 2023–September 2024",
      "description": "This dataset provides hepatitis C virus antibody and RNA test results from all 50 states and the District of Columbia using a convenience sample of de-duplicated, deidentified residual serum specimens from a large commercial laboratory. Specimens were collected for any routine clinical screening or diagnostic testing purposes and were tested for hepatitis C virus during November 2023 through September 2024 proportional to the percent of the U.S. population in each jurisdiction and stratified by two age groups (18–≤49 years and 50–≤75 years) within sex. Specimens with reactive or equivocal hepatitis C virus antibody results were reflexed to HCV RNA testing. These data underly the manuscript published in Clinical Infectious Diseases, “Estimated hepatitis C prevalence and viral clearance using residual sera from a large commercial laboratory — November 2023–September 2024” (doi 10.1093/cid/ciag007).\n\nData Limitations:\n1. Generalizability. Persons who had blood drawn for routine screening or clinical care by a single commercial laboratory might not be representative of the general U.S. adult population.\n2. Convenience sampling is subject to potential biases.\n3. Specimens from carceral facilities or incarcerated persons are not representative of the overall carceral population in the United States; carceral specimens are overrepresented from some jurisdictions and underrepresented from others.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/b4ji-baqh",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Division of Viral Hepatitis",
          "hasEmail": "mailto:hepatitisdata@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/t9kt-muu2",
        "@type": "Organization",
        "name": "Division of Viral Hepatitis"
      },
      "keyword": [
        "hcv rna",
        "hepatitis c",
        "remnant sera",
        "commercial laboratory",
        "hcv antibody"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b4ji-baqh/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b4ji-baqh",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b4ji-baqh/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b4ji-baqh",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b4ji-baqh/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b4ji-baqh/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b4ji-baqh",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b4ji-baqh/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Hepatitis C: Commercial Laboratory Residual Sera, November 2023–September 2024 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/b4ji-baqh",
        "description": "Hepatitis C: Commercial Laboratory Residual Sera, November 2023–September 2024 - Dataset Home",
        "issued": "2026-01-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/t9kt-muu2",
            "@type": "Organization",
            "name": "Division of Viral Hepatitis"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US (50 states and District of Columbia)"
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:027"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "USDSS State Burden/Magnitude Diabetes Indicators",
      "description": "Data from the U.S. Diabetes Surveillance System.\nhttps://usdss.cdc.gov/diabetes/surveillance.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/b559-sbez",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DDT Public Inquiries",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/9swp-bpz5",
        "@type": "Organization",
        "name": "Steve Bloom"
      },
      "keyword": [
        "usdss",
        "diagnosed type 2 diabetes",
        "diabetes",
        "newly diagnosed diabetes",
        "diagnosed type 1 diabetes"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b559-sbez/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b559-sbez",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b559-sbez/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b559-sbez",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b559-sbez/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b559-sbez/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b559-sbez",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b559-sbez/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "USDSS State Burden/Magnitude Diabetes Indicators - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/b559-sbez",
        "description": "USDSS State Burden/Magnitude Diabetes Indicators - Dataset Home",
        "issued": "2026-06-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/9swp-bpz5",
            "@type": "Organization",
            "name": "Steve Bloom"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "State"
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:029"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Provider Relief Fund COVID-19 High-Impact Payments",
      "description": "The bipartisan CARES Act; the Paycheck Protection Program and Health Care Enhancement Act (PPPHCEA); and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act provided $178 billion in relief funds to hospitals and other healthcare providers on the front lines of the coronavirus response. The Department of Health and Human Services through the Health Resources and Services Administration is distributing two rounds of payments to hospitals in High Impact areas for positive COVID-19 admissions. In the first round of the High Impact Allocation, $12 billion was distributed to nearly 400 hospitals who provided inpatient care for 100 or more COVID-19 patients through April 10, 2020. $2 billion of these payments was distributed to these hospitals based on their Medicare disproportionate share and uncompensated care payments. In the second round of funding, $10 billion will be distributed to hospitals having over 161 COVID-19 admissions between January 1 and June 10, 2020.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/b58h-s9zx",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "HRSA Chief Data Officer",
          "hasEmail": "mailto:PRFdata@hrsa.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/tjyw-xtku",
        "@type": "Organization",
        "name": "HHS ASPA"
      },
      "keyword": [
        "provider relief fund",
        "covid-19"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b58h-s9zx/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b58h-s9zx",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b58h-s9zx/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b58h-s9zx",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b58h-s9zx/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b58h-s9zx/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b58h-s9zx",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b58h-s9zx/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Provider Relief Fund COVID-19 High-Impact Payments - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/b58h-s9zx",
        "description": "Provider Relief Fund COVID-19 High-Impact Payments - Dataset Home",
        "issued": "2020-07-20",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/tjyw-xtku",
            "@type": "Organization",
            "name": "HHS ASPA"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:15"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Exposure to the antimicrobial chemical triclosan disrupts keratinocyte function and skin integrity in a model of reconstructed human epidermis",
      "description": "Triclosan is an antimicrobial chemical incorporated into products that are applied to the skin of healthcare workers. Exposure to triclosan has previously been shown to be immunomodulatory and associated with allergic disease. Additionally, we have shown that exposure to triclosan dermally activates the NLRP3 inflammasome and disrupts the skin barrier integrity in mice. The skin is the largest organ in the body and plays an important role as a physical barrier and regulator of the immune system. Alterations in the barrier and immune regulatory functions of the skin have been demonstrated to increase the risk of sensitization and development of allergic disease. In this study, the impact of triclosan exposure on the skin barrier and keratinocyte function was investigated using a model of reconstructed human epidermis. The apical surface of reconstructed human epidermis was exposed to triclosan once for 6, 24, or 48 hours or daily for 5 consecutive days.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/b5mu-3rk7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Allergy and Clinical Immunology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/b5mu-3rk7/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/b5mu-3rk7",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Exposure to the antimicrobial chemical triclosan disrupts keratinocyte function and skin integrity in a model of reconstructed human epidermis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/b5mu-3rk7",
        "description": "Exposure to the antimicrobial chemical triclosan disrupts keratinocyte function and skin integrity in a model of reconstructed human epidermis - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NanoSpotTM Collector for Aerosol Sample Collection for Direct Microscopy and Spectroscopy Analysis-Dataset",
      "description": "We describe design and characterization of an aerosol NanoSpotTM collector, designed for collection of airborne particles on a microscopy substrate for direct electron microscopy, optical microscopy, and laser spectroscopy analysis. The collector implements a water-based, laminar-flow, condensation growth technique, followed by impaction onto an optical/electron microscopy substrate or a transmission electron microscopy grid for direct analysis. The compact design employs three parallel growth tubes allowing a sampling flow rate of 1.2 L min-1. Each of the three growth tubes consists of three-temperature regions, for controlling the water vapor saturation profile and exit dew point. Following the droplet growth, the three streams merge into one flow and a converging nozzle enhances focusing of the grown droplets into a tight beam, prior to their final impaction on the warm surface of the collection substrate. A miniscule sample deposition area is attained for effective coupling with microscopic and spectroscopic analysis. Experiments were conducted for the acquisition of the size-dependent collection efficiency, the uniformity of the spot deposit, the surface density distribution of the collected particles, and the aerosol concentration effect on the triple-tube NanoSpotTM Collector. Particles as small as 7 nm could be activated and collected on the electron microscopy stub. A spot deposit of approximately 0.7-mm diameter is formed for particles over a broad particle diameter range. The collected particle samples were analyzed using electron microscopy and Raman spectroscopy for the acquisition of the particle spatial distribution, the spot sample uniformity, and the analyte concentration. Finally, the NanoSpotTM collector’s analytical measurement sensitivity for laser Raman analysis and the counting statistics for fiber count measurement using optical microscopy were calculated and were compared with those of the conventional aerosol sampling methods.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/b68w-a53h",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/b68w-a53h/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/b68w-a53h",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NanoSpotTM Collector for Aerosol Sample Collection for Direct Microscopy and Spectroscopy Analysis-Dataset - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/b68w-a53h",
        "description": "NanoSpotTM Collector for Aerosol Sample Collection for Direct Microscopy and Spectroscopy Analysis-Dataset - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "A Field-Portable Colorimetric Method for the Measurement of Peracetic Acid Vapors: A Comparison of Glass and Plastic Impingers",
      "description": "A method for measuring PAA vapors in air using impinger sampling and field-portable colorimetric analysis is presented. The capture efficiency of aqueous media in glass and plastic impingers was evaluated when used for PAA vapor sampling. Measurement of PAA was done using a N,N-diethyl-p-phenylenediamine (DPD) colorimetric method with a field portable spectrometer. The linearity of the DPD method was determined for PAA both in-solution and captured from vapor phase using glass or plastic impingers. The Limit of Detection (LOD) for the glass and plastic impinger (0.24 mg/m3 (0.077 mg/L) and 0.28 mg/m3 (0.091 mg/L)), respectively, and Limit of Quantitation (LOQ) (0.79 mg/m3 (0.25 mg/L) and 0.92 mg/m3 (0.30 mg/L) for the glass and plastic impingers, respectively, are below the threshold limit value (TLV) short term exposure limit (STEL) of 1.24 mg/m3 (0.4 ppm) over a 15 minute period. This impinger method allows for a low cost, easy to use, and rapid in-field measurement for occupational exposure to PAA.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/b6fe-yq88",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Chemical and Biological Monitoring Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/b6fe-yq88/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/b6fe-yq88",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "A Field-Portable Colorimetric Method for the Measurement of Peracetic Acid Vapors: A Comparison of Glass and Plastic Impingers - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/b6fe-yq88",
        "description": "A Field-Portable Colorimetric Method for the Measurement of Peracetic Acid Vapors: A Comparison of Glass and Plastic Impingers - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary",
      "description": "NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/b6np-zdqj",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "primary and secondary",
        "streptococcal toxic shock syndrome",
        "syphilis",
        "wonder",
        "nndss",
        "netss",
        "congenital",
        "2019",
        "nedss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b6np-zdqj/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b6np-zdqj",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b6np-zdqj/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b6np-zdqj",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b6np-zdqj/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b6np-zdqj/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b6np-zdqj",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b6np-zdqj/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/b6np-zdqj",
        "description": "NNDSS - TABLE 1HH. Streptococcal toxic shock syndrome to Syphilis, Primary and Secondary - Dataset Home",
        "issued": "2019-04-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Monthly Cumulative Number and Percent of Children 6 Months-17 Years and Adults 18 Years and Older Who Received 1+ Influenza Vaccination Doses and Comparison Between 2025–26 and Three Previous Seasons, by Jurisdiction, United States",
      "description": "•Monthly Cumulative Percent of Persons Who Received 1+ Influenza Vaccination Doses and Comparison Between 2025–26 and Three Previous Seasons, by Jurisdiction, United States. \n\n• Influenza (flu) vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly, in aggregate, by age group.\n\n• Monthly estimates shown are cumulative, reflecting all persons vaccinated from July 1 through a given month of that flu season.*,† Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/b6ny-6cd5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "vsd",
        "iqvia",
        "iis",
        "flu vaccination",
        "nis-acm"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b6ny-6cd5/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b6ny-6cd5",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b6ny-6cd5/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b6ny-6cd5",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b6ny-6cd5/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b6ny-6cd5/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b6ny-6cd5",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b6ny-6cd5/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Monthly Cumulative Number and Percent of Children 6 Months-17 Years and Adults 18 Years and Older Who Received 1+ Influenza Vaccination Doses and Comparison Between 2025–26 and Three Previous Seasons, by Jurisdiction, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/b6ny-6cd5",
        "description": "Monthly Cumulative Number and Percent of Children 6 Months-17 Years and Adults 18 Years and Older Who Received 1+ Influenza Vaccination Doses and Comparison Between 2025–26 and Three Previous Seasons, by Jurisdiction, United States - Dataset Home",
        "issued": "2025-12-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified)",
      "description": "NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/b6sy-qq3u",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "netss",
        "infant",
        "nedss",
        "nndss",
        "2022",
        "botulism",
        "foodborne",
        "wonder",
        "other (wound & unspecified)"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b6sy-qq3u/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b6sy-qq3u",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b6sy-qq3u/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b6sy-qq3u",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b6sy-qq3u/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b6sy-qq3u/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b6sy-qq3u",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b6sy-qq3u/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b6sy-qq3u/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b6sy-qq3u",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b6sy-qq3u/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b6sy-qq3u",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b6sy-qq3u/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b6sy-qq3u",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/b6sy-qq3u",
        "description": "NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Cumulative Influenza Vaccination Coverage and Comparison, Adults 18 Years and Older, US, National Immunization Survey-Adult COVID Module",
      "description": "Cumulative Influenza Vaccination Coverage and Comparison, Adults 18 Years and Older, United States, Data Source:  National Immunization Survey-Adult COVID Module.\n\n• The National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/b6uq-hdgz",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "vaccination",
        "vaccine coverage",
        "influenza",
        "flu vaccination",
        "coverage",
        "adults"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b6uq-hdgz/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b6uq-hdgz",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b6uq-hdgz/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b6uq-hdgz",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b6uq-hdgz/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/b6uq-hdgz/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b6uq-hdgz",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/b6uq-hdgz/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Cumulative Influenza Vaccination Coverage and Comparison, Adults 18 Years and Older, US, National Immunization Survey-Adult COVID Module - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/b6uq-hdgz",
        "description": "Cumulative Influenza Vaccination Coverage and Comparison, Adults 18 Years and Older, US, National Immunization Survey-Adult COVID Module - Dataset Home",
        "issued": "2022-12-01",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Daily Census Tract-Level Ozone Concentrations 2021 - 2022",
      "description": "This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2021-2022. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Census tract-level concentration data are available in 5-year periods due to size constraints. This dataset and file will be updated until it is complete to cover 2021-2025. Earlier periods of census-tract data can be found on data.cdc.gov through the search function.  \n\nPlease refer to the metadata attachment for more information. Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action. \n\nBy using these data, you signify your agreement to comply with the following requirements: \n1. Use the data for statistical reporting and analysis only. \n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",
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          "mediaType": "application/xml",
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        "@type": "Document",
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        "description": "Daily Census Tract-Level Ozone Concentrations 2021 - 2022 - Dataset Home",
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        "prefLabel": "U.S. States"
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Vaccine Distribution Allocations by Jurisdiction - Moderna",
      "description": "New weekly allocations of doses are posted every Tuesday.  Beginning the following Thursday, states can begin ordering doses from that week’s new allocation of 1st doses.  Beginning two weeks (Pfizer) or three weeks (Moderna) from the following Sunday, states can begin ordering doses from that week’s new allocation of 2nd doses. After doses are ordered by states, shipments begin the following Monday. The entire order may not arrive in one shipment or on one day, but over the course of the week.\n\nSecond doses are opened up for orders on Sundays, at the appropriate interval two or three weeks later according to the manufacturer’s label, with shipments occurring after jurisdictions place orders. \n\nShipments of an FDA-authorized safe and effective COVID-19 vaccine continue to arrive at sites across America. Vaccinations began on December 14, 2020. \n\nhttps://www.hhs.gov/coronavirus/covid-19-vaccines/index.html\n\nPfizer Vaccine Data - https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Initial-Allocations-Pfizer/saz5-9hgg\n\nJanssen Vaccine Data - https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/b7pe-5nws",
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        "covid-19",
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      "modified": "2026-09-09",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/b7pe-5nws/query.xml?accessType=DOWNLOAD",
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          }
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      ],
      "landingPage": {
        "@type": "Document",
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        "accessURL": "https://data.cdc.gov/d/b7pe-5nws",
        "description": "COVID-19 Vaccine Distribution Allocations by Jurisdiction - Moderna - Dataset Home",
        "issued": "2021-02-24",
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          {
            "@id": "https://data.cdc.gov/user/tjyw-xtku",
            "@type": "Organization",
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          }
        ]
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      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Measles Case and Genetic Metadata, Operation Allies Welcome",
      "description": "The table contains metadata variables used to execute compartmental and genetic modeling on measles cases investigated as a component of Operation Allies Welcome.",
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      "identifier": "https://data.cdc.gov/api/views/b8tp-jsmh",
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          "@type": "Kind",
          "fn": "Nina Masters",
          "hasEmail": "mailto:rhv2@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/5u6p-s74b",
        "@type": "Organization",
        "name": "https://www.cdc.gov/ncird/"
      },
      "keyword": [
        "modeling",
        "measles",
        "sequencing"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/b8tp-jsmh/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b8tp-jsmh",
          "mediaType": "text/csv",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/b8tp-jsmh/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b8tp-jsmh",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/b8tp-jsmh/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/b8tp-jsmh",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Measles Case and Genetic Metadata, Operation Allies Welcome - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/b8tp-jsmh",
        "description": "Measles Case and Genetic Metadata, Operation Allies Welcome - Dataset Home",
        "issued": "2023-07-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/5u6p-s74b",
            "@type": "Organization",
            "name": "https://www.cdc.gov/ncird/"
          }
        ]
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      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Selected Trend Table from Health, United States, 2011. Health conditions among children under 18 years of age, by selected characteristics: United States, average annual, selected years 1997 - 1999 through 2008 - 2010",
      "description": "Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bbhn-4mdn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vr5q-rutf",
        "@type": "Organization",
        "name": "SFranco"
      },
      "keyword": [
        "hus",
        "children",
        "health conditions"
      ],
      "modified": "2026-08-17",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bbhn-4mdn/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bbhn-4mdn",
          "mediaType": "text/csv",
          "modified": "2026-08-17"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/bbhn-4mdn/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bbhn-4mdn",
          "mediaType": "application/json",
          "modified": "2026-08-17",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bbhn-4mdn/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bbhn-4mdn/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bbhn-4mdn",
          "mediaType": "application/xml",
          "modified": "2026-08-17",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bbhn-4mdn/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Selected Trend Table from Health, United States, 2011. Health conditions among children under 18 years of age, by selected characteristics: United States, average annual, selected years 1997 - 1999 through 2008 - 2010 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bbhn-4mdn",
        "description": "Selected Trend Table from Health, United States, 2011. Health conditions among children under 18 years of age, by selected characteristics: United States, average annual, selected years 1997 - 1999 through 2008 - 2010 - Dataset Home",
        "issued": "2013-08-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vr5q-rutf",
            "@type": "Organization",
            "name": "SFranco"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "V-safe mpox",
      "description": "Users of the V-safe mpox data are required to adhere to the following standards for the analysis and reporting of research data. All research results must be presented and/or published in a manner that protects the confidentiality of participants. V-safe mpox data will not be presented and/or published in any way in which an individual can be identified. \n<br>Therefore, users will:\n<br>1. Not attempt to link or permit others to link the data with individually identified records in another database.\n<br>2. Not attempt to learn the identity of any participant in the data and will not deliberately combine these data with other CDC or non-CDC data for the purpose of matching records to identify individuals. If you should inadvertently discover the identity of any participant, you will ensure the identity of any participant is kept confidential, and will not be used in any publications and/or presentations.\n<br>3. Not imply or state, either in written or oral form, that interpretations based on analysis of the data reflect official CDC policies or positions.\n<br>4. Understand that sub-national analyses are not appropriate for this national sample and will not be conducted. \n<br>5. Understand that V-safe mpox is a voluntary self-enrollment program requiring smartphone access; therefore, information from V-safe mpox might not be representative or generalizable to the US population.\n\nBy clicking on the weblink below to download and use these V-safe mpox data, you signify your agreement to comply with the above-stated terms.\n\nV-safe mpox is an active surveillance program to monitor the safety of mpox vaccines that are authorized for use under U.S. Food and Drug Administration (FDA) Emergency Use Authorization (EUA) and after FDA licensure.\n\nThese data include registrant information (deidentified), health check-in, and vaccination data collected through the mpox response. Updated on January 31, 2025, to comply with the President’s Executive Order 14168.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bc4h-zh8r",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "V-safe inquiries team",
          "hasEmail": "mailto:Vsafe@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/crne-bzv2",
        "@type": "Organization",
        "name": "v-safe"
      },
      "keyword": [
        "v-safe",
        "vaccine safety"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/bc4h-zh8r/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/bc4h-zh8r",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "V-safe mpox - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bc4h-zh8r",
        "description": "V-safe mpox - Dataset Home",
        "issued": "2023-06-29",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/crne-bzv2",
            "@type": "Organization",
            "name": "v-safe"
          }
        ]
      },
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      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: ZCTA Data (GIS Friendly Format), 2020 release",
      "description": "This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 27 measures at the ZCTA level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bdsk-unrd",
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          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
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        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
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        "behaviors",
        "zip code",
        "zcta",
        "unhealthy",
        "prevention",
        "prevalence",
        "gis",
        "places",
        "outcomes"
      ],
      "modified": "2026-09-23",
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        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-ZCTA-Data-GIS-Friendly-Format-2020-release/kee5-23sr"
      },
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/bdsk-unrd/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bdsk-unrd",
          "mediaType": "application/json",
          "modified": "2026-09-23",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/bdsk-unrd/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bdsk-unrd",
          "mediaType": "application/geo+json",
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        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/bdsk-unrd/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bdsk-unrd",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bdsk-unrd/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bdsk-unrd",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
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        "title": "PLACES: ZCTA Data (GIS Friendly Format), 2020 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bdsk-unrd",
        "description": "PLACES: ZCTA Data (GIS Friendly Format), 2020 release - Dataset Home",
        "issued": "2023-07-19",
        "publisher": [
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            "@type": "Organization",
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      "accessRights": "public",
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    },
    {
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      "@id": "https://data.cdc.gov/api/views/be57-s94j",
      "identifier": "https://data.cdc.gov/api/views/be57-s94j",
      "title": "DQS Normal weight, overweight, and obesity among adults aged 20 and over, by selected characteristics: United States (Archived)",
      "description": "This topic is no longer available in the NCHS Data Query System (DQS). Data on overweight and obesity among adults aged 20 and over in the United States, by selected characteristics, including sex, age, race, Hispanic origin, and poverty level. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
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        "name": "National Center for Health Statistics (NCHS)",
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          "title": "DQS Normal weight, overweight, and obesity among adults aged 20 and over, by selected characteristics: United States (Archived)",
          "description": "This topic is no longer available in the NCHS Data Query System (DQS). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/be57-s94j",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
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      "modified": "2026-07-15",
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        "@type": "Document",
        "title": "DQS Normal weight, overweight, and obesity among adults aged 20 and over, by selected characteristics: United States (Archived)",
        "accessURL": "https://www.cdc.gov/nchs/hus"
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Mumps to Rabies, animal",
      "description": "NNDSS - Table II. Mumps to Rabies, animal - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n * Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n † Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.",
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      "identifier": "https://data.cdc.gov/api/views/bfe6-2gyq",
      "contactPoint": [
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          "@type": "Kind",
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      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
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        "name": "wja0@cdc.gov"
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        "mmwr",
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      "modified": "2026-09-09",
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          "modified": "2026-09-09",
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          }
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        "@type": "Document",
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        "accessURL": "https://data.cdc.gov/d/bfe6-2gyq",
        "description": "NNDSS - Table II. Mumps to Rabies, animal - Dataset Home",
        "issued": "2017-01-05",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/2fth-98hd",
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        "009:020"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Provider Relief Fund COVID-19 Nursing Home Quality Incentive Program",
      "description": "The bipartisan CARES Act; and the Paycheck Protection Program and Health Care Enhancement Act (PPPHCEA); and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act provided $178 billion in relief funds to hospitals and other healthcare providers on the front lines of the coronavirus response. The Department of Health and Human Services through the Health Resources and Services Administration is allocating $2 billion in incentive payments to nursing home facilities that reduce both COVID-19 infection rates relative to their county and mortality rates against a national benchmark.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bfqg-cb6d",
      "contactPoint": [
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          "fn": "HRSA Chief Data Officer",
          "hasEmail": "mailto:PRFdata@hrsa.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/tjyw-xtku",
        "@type": "Organization",
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      },
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        "coronavirus",
        "cares act",
        "health system"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bfqg-cb6d/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bfqg-cb6d",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/bfqg-cb6d/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bfqg-cb6d",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
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          "accessURL": "https://data.cdc.gov/d/bfqg-cb6d",
          "mediaType": "application/xml",
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            "title": "Columns for this asset"
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      ],
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        "@type": "Document",
        "title": "Provider Relief Fund COVID-19 Nursing Home Quality Incentive Program - Dataset Home",
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        "description": "Provider Relief Fund COVID-19 Nursing Home Quality Incentive Program - Dataset Home",
        "issued": "2021-08-02",
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        "009:020"
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Grouped Pollen Concentrations (Trees and Weeds) for Select United States Cities, 2003-2024",
      "description": "The National Allergy Bureau™ (NAB™) commonly provides grouped pollen levels. In this dataset, grouped trees and grouped weeds are provided as weekly pollen concentrations using data from the NAB. Grouped grass pollen metrics were excluded from selected products to align with data-sharing policies. Public release of grouped grass data could allow inference of taxa-specific concentrations in some contexts; therefore, these metrics are not included.\n\nPollen concentrations are reported as pollen grains per cubic meter (PPCM) and provided for each calendar week. This dataset is part of a series of pollen datasets from the NAB, processed and standardized by the Division of Environmental Health Science and Practice (DEHSP), National Center for Environmental Health (NCEH), CDC. Further details about the pollen data, including collection, counting, and calculations, can be found here: https://www.mdpi.com/3954654",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bgxp-nxmn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Arie Manangan",
          "hasEmail": "mailto:climateandhealth@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/k59p-qqrp",
        "@type": "Organization",
        "name": "Arie Manangan"
      },
      "keyword": [
        "pollen count",
        "weed pollen",
        "tree pollen",
        "seasonal allergies",
        "respiratory health",
        "pollen concentrations",
        "pollen",
        "high pollen days",
        "hayfever",
        "environmental health",
        "asthma triggers",
        "allergy season",
        "allergy",
        "allergic rhinitis",
        "allergen exposure",
        "air quality",
        "aeroallergens"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bgxp-nxmn/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bgxp-nxmn",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bgxp-nxmn/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bgxp-nxmn",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bgxp-nxmn/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bgxp-nxmn/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bgxp-nxmn",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bgxp-nxmn/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Grouped Pollen Concentrations (Trees and Weeds) for Select United States Cities, 2003-2024 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bgxp-nxmn",
        "description": "Weekly Grouped Pollen Concentrations (Trees and Weeds) for Select United States Cities, 2003-2024 - Dataset Home",
        "issued": "2026-09-15",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/k59p-qqrp",
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            "name": "Arie Manangan"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2011 (Part 6 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 14 of 48 and corresponds to the time range between February 7, 2011, and February 14, 2011.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bgzq-ax8c",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/download/bgzq-ax8c/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/bgzq-ax8c",
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          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 6 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bgzq-ax8c",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 6 of 19) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
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      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 19 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 46 of 48 and corresponds to the time range between November 26, 2012, and December 10, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bh72-384a",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/download/bh72-384a/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/bh72-384a",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 19 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bh72-384a",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 19 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1O.  Hansen's disease to Hantavirus pulmonary syndrome",
      "description": "NNDSS - TABLE 1O.  Hansen's disease to Hantavirus pulmonary syndrome - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bhxw-k5sb",
      "contactPoint": [
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "hantavirus pulmonary syndrome",
        "netss",
        "nedss",
        "2019",
        "wonder",
        "non-hantavirus pulmonary syndrome",
        "nndss",
        "hansen's disease",
        "hantavirus infection"
      ],
      "modified": "2026-09-10",
      "distribution": [
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        },
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          "accessURL": "https://data.cdc.gov/d/bhxw-k5sb",
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            "title": "Columns for this asset"
          }
        },
        {
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          "accessURL": "https://data.cdc.gov/d/bhxw-k5sb",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1O.  Hansen's disease to Hantavirus pulmonary syndrome - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bhxw-k5sb",
        "description": "NNDSS - TABLE 1O.  Hansen's disease to Hantavirus pulmonary syndrome - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/2fth-98hd",
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/bi63-dtpu",
      "identifier": "https://data.cdc.gov/api/views/bi63-dtpu",
      "title": "NCHS - Leading Causes of Death: United States",
      "description": "This dataset presents the age-adjusted death rates for the 10 leading causes of death in the United States beginning in 1999.\n\nData are based on information from all resident death certificates filed in the 50 states and the District of Columbia using demographic and medical characteristics. Age-adjusted death rates (per 100,000 population) are based on the 2000 U.S. standard population. Populations used for computing death rates after 2010 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.\n\nCauses of death classified by the International Classification of Diseases, Tenth Revision (ICD–10) are ranked according to the number of deaths assigned to rankable causes. Cause of death statistics are based on the underlying cause of death.\n\nSOURCES\nCDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).\n\nREFERENCES\n\n1. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.\n\n2. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf.",
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        "name": "National Center for Health Statistics (NCHS)",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Military Health System (MHS) - Vision and Eye Health Surveillance System (VEHSS)",
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        "@type": "Document",
        "title": "Military Health System (MHS) - Vision and Eye Health Surveillance System (VEHSS) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/binw-6h77",
        "description": "Military Health System (MHS) - Vision and Eye Health Surveillance System (VEHSS) - Dataset Home",
        "issued": "2025-05-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "CDC UserSA"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 3 - Philadelphia",
      "description": "Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.",
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      "publisher": {
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        "@type": "Organization",
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      },
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      ],
      "modified": "2026-09-08",
      "distribution": [
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          "mediaType": "application/json",
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          "accessURL": "https://data.cdc.gov/d/bjsc-yd7n",
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        },
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          "mediaType": "application/vnd.google-earth.kmz",
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 3 - Philadelphia - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bjsc-yd7n",
        "description": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 3 - Philadelphia - Dataset Home",
        "issued": "2016-09-28",
        "publisher": [
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            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
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      "bureauCode": [
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      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital",
      "description": "NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bk9t-cq4b",
      "contactPoint": [
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
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        "nndss",
        "netss",
        "nedss",
        "2020",
        "non-congenital",
        "wonder",
        "yellow fever"
      ],
      "modified": "2026-09-09",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/bk9t-cq4b/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bk9t-cq4b",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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          }
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          "accessURL": "https://data.cdc.gov/d/bk9t-cq4b",
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        },
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          "accessURL": "https://data.cdc.gov/d/bk9t-cq4b",
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        "title": "NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bk9t-cq4b",
        "description": "NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital - Dataset Home",
        "issued": "2020-01-21",
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            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
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      ],
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        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "@id": "https://data.cdc.gov/api/views/bkbr-drkm",
      "identifier": "https://data.cdc.gov/api/views/bkbr-drkm",
      "title": "National Ambulatory Medical Care Survey, Public-use file, 1973-2016",
      "description": "The National Ambulatory Medical Care Survey (NAMCS) is a national survey designed to meet the need for objective, reliable information about the provision and use of ambulatory medical care services in the United States. Findings are based on a sample of visits to non-federally employed office-based physicians who are primarily engaged in direct patient care. Physicians in the specialties (including designated sub-specialties) of anesthesiology, pathology, and radiology are excluded from the survey. The survey was conducted annually from 1973 to 1981, again in 1985, and annually since 1989.\nData collection from the physician, rather than from the patient, provides an analytic base that expands information on ambulatory care collected through other NCHS surveys. Data about the physician and their practice characteristics are collected during a survey induction interview.\nFor survey years 1973 to 1991, there are two data files: one for patient visit data and a second for drug mention data. The second file is limited to those visits with mention of medication therapy. For the 1991 data, it is possible to link information on the drug file with information on the patient visit file. Beginning with the 1992 survey year through 2011, one main data file was produced annually that contains both patient visit and drug information.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
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        "name": "National Center for Health Statistics (NCHS)",
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            "name": "Centers for Disease Control and Prevention (CDC)"
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      },
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      "distribution": [
        {
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          "title": "National Ambulatory Medical Care Survey, Public-use file, 1973-2016",
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          "accessURL": "https://data.cdc.gov/api/views/bkbr-drkm",
          "modified": "2026-04-22"
        }
      ],
      "rights": [
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      ],
      "modified": "2026-04-22",
      "landingPage": {
        "@type": "Document",
        "title": "National Ambulatory Medical Care Survey, Public-use file, 1973-2016",
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      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B",
      "description": "NNDSS - TABLE 1W.  Meningococcal disease,  All serogroups to Meningococcal disease, Serogroup B - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bkwy-pyv3",
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
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        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
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        "wonder",
        "serogroups acwy",
        "nndss",
        "netss",
        "nedss",
        "meningococcal disease",
        "all serogroups",
        "2019"
      ],
      "modified": "2026-09-09",
      "distribution": [
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      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bkwy-pyv3",
        "description": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
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      "programCode": [
        "009:020"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 2 - New York",
      "description": "Rate of deaths by age/sex (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.\n\nUpdated on April 28, 2025, to comply with the President’s Executive Order 14168.",
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      "identifier": "https://data.cdc.gov/api/views/bptw-uw4i",
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        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
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        "cdc"
      ],
      "modified": "2026-09-09",
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          "accessURL": "https://data.cdc.gov/d/bptw-uw4i",
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          "accessURL": "https://data.cdc.gov/d/bptw-uw4i",
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bptw-uw4i/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bptw-uw4i",
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        }
      ],
      "landingPage": {
        "@type": "Document",
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        "description": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 2 - New York - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
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        "009:00"
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        "009:020"
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1H.  Cholera to Coccidioidomycosis",
      "description": "NNDSS - Table 1H.  Cholera to Coccidioidomycosis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a \"U\" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bqmb-vyka",
      "contactPoint": [
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "2020",
        "cholera",
        "coccidioidomycosis",
        "netss",
        "nedss",
        "nndss",
        "wonder"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bqmb-vyka/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bqmb-vyka",
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          "modified": "2026-09-09"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/bqmb-vyka/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bqmb-vyka",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bqmb-vyka/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bqmb-vyka",
          "mediaType": "application/xml",
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        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bqmb-vyka/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bqmb-vyka",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bqmb-vyka/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bqmb-vyka",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bqmb-vyka/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bqmb-vyka",
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        }
      ],
      "landingPage": {
        "@type": "Document",
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        "accessURL": "https://data.cdc.gov/d/bqmb-vyka",
        "description": "NNDSS - Table 1H.  Cholera to Coccidioidomycosis - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
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        ]
      },
      "bureauCode": [
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      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection",
      "description": "NNDSS - Table 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bqse-bujd",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "anaplasma phagocytophilum infection",
        "wonder",
        "ehrlichia chaffeensis infection",
        "ehrlichiosis and anaplasmosis",
        "nedss",
        "nndss",
        "netss",
        "2019"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bqse-bujd/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bqse-bujd",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bqse-bujd/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bqse-bujd",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/api/views/bqse-bujd/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/bqse-bujd/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bqse-bujd",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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          }
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bqse-bujd",
        "description": "NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
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      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Updated 2023-24 COVID-19 Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse",
      "description": "Weekly Cumulative Updated 2023-24 COVID-19 Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years \n\n• Estimated COVID-19 vaccination coverage among Medicare fee-for-service beneficiaries >65 years is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS).\n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19. (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html)\n ",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/brsb-akdp",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "covid-19 vaccination",
        "adults"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/brsb-akdp/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/brsb-akdp",
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          "accessURL": "https://data.cdc.gov/d/brsb-akdp",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/brsb-akdp/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/brsb-akdp",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Updated 2023-24 COVID-19 Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/brsb-akdp",
        "description": "Weekly Cumulative Updated 2023-24 COVID-19 Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse - Dataset Home",
        "issued": "2026-08-03",
        "publisher": [
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            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Hepatitis (viral, acute, by type) A & B",
      "description": "NNDSS - Table II. Hepatitis (viral, acute, by type) A & B - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\r\n \r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  \r\n\r\n† Perinatal hepatitis C cases are not included in this table. These data will be included in the annual NNDSS tables on the NNDSS Data and Statistics page (https://wwwn.cdc.gov/nndss/data-and-statistics.html) beginning with data year 2018 and in the annual Summary of Viral Hepatitis, published online by CDC's Division of Viral Hepatitis, available at https://www.cdc.gov/hepatitis/statistics/2015surveillance/index.htm.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/btcp-84tv",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
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        "netss",
        "nedss",
        "hepatitis (viral",
        "by type) a & b",
        "acute",
        "2018",
        "wonder"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/btcp-84tv/export.csv?accessType=DOWNLOAD",
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          "modified": "2026-09-10",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/api/views/btcp-84tv/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/btcp-84tv/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/btcp-84tv",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/btcp-84tv/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Hepatitis (viral, acute, by type) A & B - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/btcp-84tv",
        "description": "NNDSS - Table II. Hepatitis (viral, acute, by type) A & B - Dataset Home",
        "issued": "2019-01-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/btv3-srcc",
      "identifier": "https://data.cdc.gov/api/views/btv3-srcc",
      "title": "DQS NHIS Functioning difficulties in adults age 18 and older by selected characteristics United States",
      "description": "Annual estimates of level of functioning difficulties for adults aged 18 years and over based on final data from the National Health Interview Survey.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:info@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS NHIS Functioning difficulties in adults age 18 and older by selected characteristics United States",
          "description": "Annual estimates of level of functioning difficulties for adults aged 18 years and over based on final data from the National Health Interview Survey. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/btv3-srcc",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS NHIS Functioning difficulties in adults age 18 and older by selected characteristics United States",
        "accessURL": "https://www.cdc.gov/nchs/nhis/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rat-Tail Models for Studying Hand-Arm Vibration Syndrome:  A Comparison between Living and Cadaver Rat Tails",
      "description": "Over-exposure of the hand-arm system to intense vibration and force over time may cause degeneration of the vascular, neurological, and musculoskeletal systems in the fingers. A novel animal model using rat tails has been developed to understand the health effects on human fingers exposed to vibration and force when operating powered hand tools or workpieces. The biodynamic responses, such as vibration stress, strain, and power absorption density, of the rat tails can be used to help evaluate the health effects related to vibration and force and to establish a dose-effect relationship. While the biodynamic responses of cadaver rat tails have been investigated, the objective of the current study was to determine whether the biodynamic responses of living rat tails are different from those of cadaver rat tails, and whether the biodynamic responses of both living and cadaver tails change with exposure duration. To make direct comparisons, the responses of both cadaver and living rat tails were examined on four different testing stations. The transfer function of each tail under a given contact force (2 N) was measured at each frequency in the one-third octave bands from 20 to 1000 Hz, and used to calculate the mechanical system parameters of the tails. The transfer function was also measured at different exposure durations to determine the time dependency of the response. The biodynamic responses of both cadaver and living rat tails, and the modeling results and time dependency are presented in a manuscript of this study (Warren et al., 2024), the original datasets measured in each trial of the tests are documented in this data description.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bucw-etpd",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Physical Effects Research Branch, Health Effects Laboratory Division",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/bucw-etpd/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/bucw-etpd",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Rat-Tail Models for Studying Hand-Arm Vibration Syndrome:  A Comparison between Living and Cadaver Rat Tails - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bucw-etpd",
        "description": "Rat-Tail Models for Studying Hand-Arm Vibration Syndrome:  A Comparison between Living and Cadaver Rat Tails - Dataset Home",
        "issued": "2024-12-02",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Vaccines.gov: Flu vaccinating provider locations",
      "description": "Because inventory reporting is no longer required, Vaccines.gov information will not be updated on this site after July 2024.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bugr-bbfr",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC",
          "hasEmail": "mailto:vaccinefinder@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/g3fc-zmqn",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "vaccinefinder",
        "vaccination locations",
        "providers",
        "flu vaccination",
        "flu shot",
        "vaccines",
        "flu",
        "vaccination sites"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bugr-bbfr/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bugr-bbfr",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bugr-bbfr/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bugr-bbfr",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bugr-bbfr/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bugr-bbfr/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bugr-bbfr",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bugr-bbfr/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Vaccines.gov: Flu vaccinating provider locations - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bugr-bbfr",
        "description": "Vaccines.gov: Flu vaccinating provider locations - Dataset Home",
        "issued": "2021-10-27",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/g3fc-zmqn",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Non-Medical Factor Measures for ZCTA, ACS 2017-2021",
      "description": "This dataset contains ZCTA-level non-medical factor measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bumh-rgsq",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "places",
        "zcta",
        "estimates",
        "acs",
        "non-medical factor"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bumh-rgsq/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bumh-rgsq",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bumh-rgsq/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bumh-rgsq",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bumh-rgsq/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bumh-rgsq/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bumh-rgsq",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bumh-rgsq/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bumh-rgsq/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bumh-rgsq",
          "mediaType": "application/geo+json",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bumh-rgsq/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bumh-rgsq",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bumh-rgsq/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bumh-rgsq",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Non-Medical Factor Measures for ZCTA, ACS 2017-2021 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bumh-rgsq",
        "description": "Non-Medical Factor Measures for ZCTA, ACS 2017-2021 - Dataset Home",
        "issued": "2023-10-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic",
      "description": "NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bve7-bjy2",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "poliomyelitis",
        "wonder",
        "2019",
        "nedss",
        "netss",
        "nndss",
        "paralytic",
        "plague",
        "pertussis"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bve7-bjy2/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bve7-bjy2",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bve7-bjy2/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bve7-bjy2",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bve7-bjy2/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bve7-bjy2/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bve7-bjy2",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bve7-bjy2/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bve7-bjy2",
        "description": "NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Chapare virus to Ebola virus",
      "description": "NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Chapare virus to Ebola virus – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bw3b-karf",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nedss",
        "crimean-congo hemorrhagic fever virus",
        "2022",
        "viral hemorrhagic fevers",
        "wonder",
        "nndss",
        "netss",
        "ebola virus",
        "chapare virus"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bw3b-karf/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bw3b-karf",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bw3b-karf/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bw3b-karf",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bw3b-karf/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bw3b-karf/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bw3b-karf",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bw3b-karf/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bw3b-karf/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bw3b-karf",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bw3b-karf/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bw3b-karf",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bw3b-karf/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bw3b-karf",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Chapare virus to Ebola virus - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bw3b-karf",
        "description": "NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Chapare virus to Ebola virus - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Optimization of Aspergillus versicolor culture and aerosolization in a murine model of inhalational fungal exposure",
      "description": "Aspergillus versicolor is ubiquitous in the environment and is particularly abundant in damp indoor spaces. Exposure to Aspergillus species, as well as other environmental fungi, has been linked to adverse health outcomes including asthma, allergy, and even local or disseminated infection. However, the pulmonary immunological mechanisms associated with repeated exposure to A. versicolor have remained relatively uncharacterized. Here, A. versicolor was cultured and desiccated on rice, then placed in an acoustical generator system to achieve aerosolization. Mice were challenged with titrated doses of aerosolized conidia to examine deposition, lymphoproliferative properties, and then the immunotoxicological response to repeated inhalation exposures. The necessary dose to induce lymphoproliferation, but not infection-like pathology, was identified. Further, it was determined that the dose was able to initiate localized immune responses. The data presented in this study demonstrate an optimized and reproducible method for delivering A. versicolor conidia to rodents via nose-only inhalation. Additionally, the feasibility of a long-term repeated exposure study was established.  This experimental protocol can be used in future studies to investigate physiological effects of repeated pulmonary exposure to fungal conidia utilizing a practical and relevant mode of delivery. In total, these data constitute an important foundation for subsequent research in the field.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bwwd-cuna",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Allergy and Clinical Immunology Branch (ACIB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/bwwd-cuna/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/bwwd-cuna",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Optimization of Aspergillus versicolor culture and aerosolization in a murine model of inhalational fungal exposure - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bwwd-cuna",
        "description": "Optimization of Aspergillus versicolor culture and aerosolization in a murine model of inhalational fungal exposure - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Medicaid Claims (MAX) - Vision and Eye Health Surveillance",
      "description": "2016-2022. This dataset is a de-identified summary table of prevalence rates for vision and eye health data indicators from the Medicaid Analytic eXtract (MAX) data. Medicaid MAX are a set of de-identified person-level data files with information on Medicaid eligibility, service utilization, diagnoses, and payments. The MAX data contain a convenience sample of claims processed by Medicaid and Children’s Health Insurance Program (CHIP) fee for service and managed care plans.  Not all states are included in MAX in all years, and as of November 2019, 2014 data is the latest available.  Prevalence estimates are stratified by all available combinations of age group, sex, and state.  Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicaid MAX webpage (cdc.gov/visionhealth/vehss/data/claims/medicaid.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicaid MAX dataset was last updated May 2023.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bwx3-gx66",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DDT Public Inquiries",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "medicaid",
        "max",
        "medical diagnoses",
        "screening",
        "service utilization",
        "eye exams",
        "claims",
        "diagnosed prevalence"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Vision-Eye-Health/Private-Medicaid-Claims-MAX-Vision-and-Eye-Health-/bwx3-gx66"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bwx3-gx66/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bwx3-gx66",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bwx3-gx66/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bwx3-gx66",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bwx3-gx66/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bwx3-gx66/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bwx3-gx66",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bwx3-gx66/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bwx3-gx66/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bwx3-gx66",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bwx3-gx66/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bwx3-gx66",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bwx3-gx66/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bwx3-gx66",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Medicaid Claims (MAX) - Vision and Eye Health Surveillance - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bwx3-gx66",
        "description": "Medicaid Claims (MAX) - Vision and Eye Health Surveillance - Dataset Home",
        "issued": "2025-05-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "dhds_dataset",
      "description": "Sample dataset for DHDS",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bx8m-di6q",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "dhds",
          "hasEmail": "mailto:dhds@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/9a49-htva",
        "@type": "Organization",
        "name": "Disability and Health Data System (CDC)"
      },
      "keyword": [
        "dataset",
        "sample",
        "dhds"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bx8m-di6q/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bx8m-di6q",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bx8m-di6q/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bx8m-di6q",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bx8m-di6q/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bx8m-di6q/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bx8m-di6q",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bx8m-di6q/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "dhds_dataset - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bx8m-di6q",
        "description": "dhds_dataset - Dataset Home",
        "issued": "2024-07-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/9a49-htva",
            "@type": "Organization",
            "name": "Disability and Health Data System (CDC)"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:036"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/bxq8-mugm",
      "identifier": "https://data.cdc.gov/api/views/bxq8-mugm",
      "title": "Monthly Counts of Deaths by Select Causes, 2014-2019",
      "description": "Final counts of deaths by the month the deaths occurred and by select causes of death for 2014-2019.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Monthly Counts of Deaths by Select Causes, 2014-2019",
          "description": "Final counts of deaths by the month the deaths occurred and by select causes of death for 2014-2019. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/bxq8-mugm",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Monthly Counts of Deaths by Select Causes, 2014-2019",
        "accessURL": "https://www.cdc.gov/nchs/nvss/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Guanarito virus to Viral hemorrhagic fevers, Lassa virus",
      "description": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Guanarito virus to Viral hemorrhagic fevers, Lassa virus – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/bytj-42x7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "2022",
        "junin virus",
        "netss",
        "nndss",
        "viral hemorrhagic fevers",
        "guanarito virus",
        "lassa virus",
        "wonder",
        "nedss"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bytj-42x7/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bytj-42x7",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bytj-42x7/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bytj-42x7",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bytj-42x7/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bytj-42x7/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bytj-42x7",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/bytj-42x7/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bytj-42x7/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bytj-42x7",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bytj-42x7/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bytj-42x7",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/bytj-42x7/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/bytj-42x7",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Guanarito virus to Viral hemorrhagic fevers, Lassa virus - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/bytj-42x7",
        "description": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Guanarito virus to Viral hemorrhagic fevers, Lassa virus - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Trends in Worker Hearing Loss by Industry Sector, 1981-2010",
      "description": "Background: The purpose of this study was to estimate the incidence and prevalence of hearing loss for noise-exposed U.S. workers by industry sector and 5-year time period, covering 30 years.\n\nMethods: Audiograms for 1.8 million workers from 1981-2010 were examined. Incidence and prevalence were estimated by industry sector and time period. The adjusted risk of incident hearing loss within each time period and industry sector as compared with a reference time period was also estimated.\n\nResults: The adjusted risk for incident hearing loss decreased over time when all industry sectors were combined. However, the risk remained high for workers in Healthcare and Social Assistance, and the prevalence was consistently high for Mining and Construction workers.\n\nConclusions: While progress has been made in reducing the risk of incident hearing loss within most industry sectors, additional efforts are needed within Mining, Construction and Healthcare and Social Assistance.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/c294-dri5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Division of Field Studies and Engineering Health Informatics Branch",
          "hasEmail": "mailto:OHLSurveillance@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/c294-dri5/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/c294-dri5",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Trends in Worker Hearing Loss by Industry Sector, 1981-2010 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/c294-dri5",
        "description": "Trends in Worker Hearing Loss by Industry Sector, 1981-2010 - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NIOSH Anthropometric Data and ISO Digital Headforms",
      "description": "In 2003, the National Institute for Occupational Safety and Health (NIOSH) conducted a nationwide anthropometric survey of 3,997 subjects. The resulting head and face measurements were used to develop an anthropometric database detailing the face size distributions of respirator users using both traditional measurement methods and three-dimensional (3D) scanning systems. This database was used to establish fit test panels to be incorporated into NIOSH respirator certification and international standards. One of the panels developed, called the principal component analysis (PCA) panel, uses the first two principal components obtained from a set of 10 facial dimensions (age and race adjusted) and divides user population into five face-size categories. These 10 dimensions are associated with respirator fit and leakage and can predict the remaining face dimensions as well. Respirators designed to fit these panels are expected to accommodate more than 95% of the current U.S. civilian workers.\n\nFrom the 3,997 subje",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/c2hx-eeis",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Personal Protective Technology Laboratory, Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/c2hx-eeis/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/c2hx-eeis",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NIOSH Anthropometric Data and ISO Digital Headforms - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/c2hx-eeis",
        "description": "NIOSH Anthropometric Data and ISO Digital Headforms - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Differential Activation of Peroxisome Proliferator-Activated Receptor Alpha by Per-and Polyfluoroalkyl Substance",
      "description": "PFAS have been shown to activate peroxisome proliferator-activated receptor α (PPARα), a transcription factor involved in lipid metabolism. PFAS comprises a wide range of compounds, and variations in their structural characteristics could reveal important details regarding the level of PPARα activation.  Activation and potency were compared across and within PFAS classes based on chemical differences. Perfluorocarboxylated ether was found to be the strongest class, while polyfluorotelomer was the weakest, suggesting the importance of structural features in PPARa activation. Perfluorocarboxylates were consistently better PPARα activators than perfluorosulfonates. Comparing within these two classes, the number of perfluorinated carbon atoms better predicted activation than the number of carbon atoms. In the perfluorocarboxylated ether, perfluorocarboxylate, and perfluorosulfonate classes a direct correlation existed between potency and the percentage of PPARα activation (R2 = 0.702). These findings provide new insight regarding distinct chemical characteristics of PFAS compounds which may be better linked to PPARα activation.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/c4p6-t338",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Chemical and Biomonitoring Branch (CBMB), Health Effects and Laboratory Division (HELD), National Institute for Occupational Safety and Health (NIOSH);",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/c4p6-t338/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/c4p6-t338",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Differential Activation of Peroxisome Proliferator-Activated Receptor Alpha by Per-and Polyfluoroalkyl Substance - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/c4p6-t338",
        "description": "Differential Activation of Peroxisome Proliferator-Activated Receptor Alpha by Per-and Polyfluoroalkyl Substance - Dataset Home",
        "issued": "2025-11-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "A High-throughput, Turbulent-mixing, Condensation Aerosol Concentrator for Direct Aerosol Collection as a Liquid Suspension",
      "description": "Trace measurement of aerosol chemical composition in workplace atmospheres requires the development of high-throughput aerosol collectors that are compact, hand-portable, and can be operated using personal pumps. We describe the design and characterization of a compact, high flow, Turbulent-mixing Condensation Aerosol-in-Liquid Concentrator (TCALC) that allows direct collection of aerosols as liquid suspensions, for off-line chemical, biological, or microscopy analysis. The TCALC unit, measuring approximately 12 × 16 × 18 cm, operates at an aerosol sample flowrate of up to 10 L min-1, using rapid mixing of a hot flow saturated with water vapor and a cold aerosol sample flow, thereby promoting condensational growth of aerosol particles. We investigated the effect of operating parameters such as vapor temperature, growth tube wall temperature, and aerosol sample flowrate, along with the effect of particle diameter, inlet humidity, aerosol concentration, and operation time on TCALC performance. Nanoparticles with an initial aerodynamic diameter ≥ 25 nm could grow to droplet diameters > 1400 nm with an efficiency ≥ 80%. Good droplet growth efficiency was achieved for sampled aerosol relative humidity ≥ 9%. We measured complete aerosol collection for concentrations of ≤ 3×105 cm-3. The results showed good agreement between the particulate mass collected through the liquid collector and direct filter collection. The TCALC eliminates the need for sample preparation and filter digestion during chemical analysis, thereby increasing sample recovery and substantially improving the limit of detection and sensitivity of off-line trace analysis of collected liquid samples.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/c75w-3h6e",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/c75w-3h6e/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/c75w-3h6e",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "A High-throughput, Turbulent-mixing, Condensation Aerosol Concentrator for Direct Aerosol Collection as a Liquid Suspension - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/c75w-3h6e",
        "description": "A High-throughput, Turbulent-mixing, Condensation Aerosol Concentrator for Direct Aerosol Collection as a Liquid Suspension - Dataset Home",
        "issued": "2024-12-02",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: ZCTA Data (GIS Friendly Format), 2022 release",
      "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 29 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/c76y-7pzg",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "outcomes",
        "places",
        "behaviors",
        "prevention",
        "risk",
        "zip code",
        "prevalence",
        "status",
        "zcta",
        "gis",
        "health"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-ZCTA-Data-GIS-Friendly-Format-2020-release/kee5-23sr"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c76y-7pzg/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c76y-7pzg",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c76y-7pzg/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c76y-7pzg",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/c76y-7pzg/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c76y-7pzg/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c76y-7pzg",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/c76y-7pzg/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c76y-7pzg/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c76y-7pzg",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c76y-7pzg/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c76y-7pzg",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c76y-7pzg/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c76y-7pzg",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: ZCTA Data (GIS Friendly Format), 2022 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/c76y-7pzg",
        "description": "PLACES: ZCTA Data (GIS Friendly Format), 2022 release - Dataset Home",
        "issued": "2023-06-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: ZCTA Data (GIS Friendly Format), 2023 release",
      "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 36 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/c7b2-4ecy",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "disability",
        "zip code",
        "status",
        "risk",
        "prevalence",
        "health",
        "outcomes",
        "places",
        "prevention",
        "zcta",
        "behaviors",
        "gis"
      ],
      "modified": "2026-09-23",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-ZCTA-Data-GIS-Friendly-Format-2020-release/kee5-23sr"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c7b2-4ecy/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c7b2-4ecy",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c7b2-4ecy/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c7b2-4ecy",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/c7b2-4ecy/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c7b2-4ecy/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c7b2-4ecy",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/c7b2-4ecy/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c7b2-4ecy/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c7b2-4ecy",
          "mediaType": "application/geo+json",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c7b2-4ecy/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c7b2-4ecy",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c7b2-4ecy/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c7b2-4ecy",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: ZCTA Data (GIS Friendly Format), 2023 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/c7b2-4ecy",
        "description": "PLACES: ZCTA Data (GIS Friendly Format), 2023 release - Dataset Home",
        "issued": "2024-07-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State-Level Vaccine Mandates - Currently in Effect",
      "description": "This dataset contains state and territorial vaccine mandates currently in effect as of ____ that require the group listed to be fully vaccinated. State and territorial laws are collected from publicly available government websites and cataloged and coded using HHS Protect by one coder with one or more additional coders conducting quality assurance.\nData were collected to determine when certain groups were subject to vaccine mandates. Data can be used to determine the status of state-issued vaccine requirements for certain groups as of the date of last update. \nThese data are derived from publicly available state and territorial laws and official policy documents found by CDC’s Mitigation Policy Analysis Unit, and CDC’s Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from July 26, 2021 through _____. These data will be updated as new laws are collected. Any orders not available through publicly accessible websites are not included in this dataset. Recommendations not included in a law are not included in these data. Effective and expiration dates were coded using only the date provided in the law. These data do not necessarily represent the official position of the Centers for Disease Control and Prevention.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/c8as-e7h6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Mara Howard-Williams",
          "hasEmail": "mailto:prw0@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/qwcg-irwv",
        "@type": "Organization",
        "name": "T.J. Pierce"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c8as-e7h6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c8as-e7h6",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c8as-e7h6/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c8as-e7h6",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/c8as-e7h6/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c8as-e7h6/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c8as-e7h6",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/c8as-e7h6/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State-Level Vaccine Mandates - Currently in Effect - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/c8as-e7h6",
        "description": "State-Level Vaccine Mandates - Currently in Effect - Dataset Home",
        "issued": "2022-03-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/qwcg-irwv",
            "@type": "Organization",
            "name": "T.J. Pierce"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "USDSS National Burden/Magnitude Diabetes Indicators",
      "description": "Data from the U.S. Diabetes Surveillance System.\n⁠https://usdss.cdc.gov/diabetes/surveillance.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/c9xs-vhst",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DDT Public Inquiries",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/9swp-bpz5",
        "@type": "Organization",
        "name": "Steve Bloom"
      },
      "keyword": [
        "newly diagnosed diabetes",
        "diabetes",
        "age at diagnosis of diabetes",
        "diagnosed diabetes",
        "diagnosed type 1 diabetes",
        "diagnosed type 2 diabetes",
        "usdss",
        "duration of diabetes"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c9xs-vhst/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c9xs-vhst",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c9xs-vhst/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c9xs-vhst",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/c9xs-vhst/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/c9xs-vhst/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/c9xs-vhst",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/c9xs-vhst/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "USDSS National Burden/Magnitude Diabetes Indicators - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/c9xs-vhst",
        "description": "USDSS National Burden/Magnitude Diabetes Indicators - Dataset Home",
        "issued": "2026-06-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/9swp-bpz5",
            "@type": "Organization",
            "name": "Steve Bloom"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "National"
      },
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:029"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Lujo virus to Viral hemorrhagic fevers, Marburg virus",
      "description": "NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Lujo virus to Viral hemorrhagic fevers, Marburg virus – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents..\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
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        "@type": "Organization",
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      ],
      "modified": "2026-09-10",
      "distribution": [
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      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Lujo virus to Viral hemorrhagic fevers, Marburg virus - Dataset Home",
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        "description": "NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Lujo virus to Viral hemorrhagic fevers, Marburg virus - Dataset Home",
        "issued": "2022-01-14",
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    },
    {
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      "title": "2022 Final Assisted Reproductive Technology (ART) Success Rates",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.",
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      "contactPoint": [
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        "@type": "Organization",
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          "accessURL": "https://data.cdc.gov/d/cchw-gdwa",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
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          "downloadURL": "https://data.cdc.gov/api/v3/views/cchw-gdwa/query.xml?accessType=DOWNLOAD",
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            "title": "Columns for this asset"
          }
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          "downloadURL": "https://data.cdc.gov/api/v3/views/cchw-gdwa/query.geojson?accessType=DOWNLOAD",
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          "accessURL": "https://data.cdc.gov/d/cchw-gdwa",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/cchw-gdwa/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cchw-gdwa",
          "mediaType": "application/vnd.google-earth.kmz",
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        }
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      "landingPage": {
        "@type": "Document",
        "title": "2022 Final Assisted Reproductive Technology (ART) Success Rates - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cchw-gdwa",
        "description": "2022 Final Assisted Reproductive Technology (ART) Success Rates - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/uj8q-r4hw",
            "@type": "Organization",
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      "bureauCode": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2010 (Part 3 of 7)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 4 of 48 and corresponds to the time range between September 27, 2010, and November 1, 2010.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/cd8h-y37e",
      "contactPoint": [
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          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
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      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
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      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/download/cd8h-y37e/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/cd8h-y37e",
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        "title": "Elk Creek Seismic Waveforms 2010 (Part 3 of 7) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cd8h-y37e",
        "description": "Elk Creek Seismic Waveforms 2010 (Part 3 of 7) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
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      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
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      "programCode": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection",
      "description": "NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC.",
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          "fn": "CDC INFO",
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        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
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        "wonder",
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        "nndss",
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        "chlamydia trachomatis infection"
      ],
      "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
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          "accessURL": "https://data.cdc.gov/d/cds4-6y7t",
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        "@type": "Document",
        "title": "NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cds4-6y7t",
        "description": "NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection - Dataset Home",
        "issued": "2020-01-21",
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            "@type": "Organization",
            "name": "aso7@cdc.gov"
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    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 1 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 28 of 48 and corresponds to the time range between January 2, 2012, and February 20, 2012.",
      "accessLevel": "public",
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      "contactPoint": [
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        }
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      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
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      ],
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      "distribution": [
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          "downloadURL": "https://data.cdc.gov/download/cgmy-fcv3/application/x-zip-compressed",
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      "landingPage": {
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        "title": "Elk Creek Seismic Waveforms 2012 (Part 1 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cgmy-fcv3",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 1 of 20) - Dataset Home",
        "issued": "2025-07-03",
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      "bureauCode": [
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 10 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 37 of 48 and corresponds to the time range between August 13, 2012, and September 3, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/cgyi-zgdr",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/cgyi-zgdr/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/cgyi-zgdr",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 10 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cgyi-zgdr",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 10 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/api/views/ch5i-63ve",
      "title": "RESP-LENS",
      "description": "During the 2022-23 and 2023-24 respiratory illness seasons, the Respiratory Virus Laboratory Emergency Department Network Surveillance (RESP-LENS) system gathered electronic health record (EHR) data from nearly 100 hospitals associated with 24 participating sites located in 20 states and the District of Columbia. There was at least one site in each of the 10 Health and Human Services (HHS) regions. RESP-LENS collected reports of emergency department (ED) visits for acute respiratory illness (ARI) and corresponding viral testing results for SARS-CoV-2 (the virus that causes COVID-19), influenza (flu), and respiratory syncytial virus (RSV).  Sites reported data for an average of approximately 77,000 ED visits weekly, of which 11,000 were associated with ARI and 4,000 of those were in children younger than 18 years.  Between May 2023 and August 2024, these data were posted to CDC's RESP-LENS public dashboard, showing number tested, number positive, and percent positive for each of the three viruses mentioned, by virus, region, and age group.  Due to budget constraints, RESP-LENS was not funded beyond the end of the 2024 fiscal year.  RESP-LENS served as a valuable tool for public health and health care professionals and allowed users to visualize and understand trends in virus circulation, estimate disease burden, respond to outbreaks, and inform decisions and strategies for protecting public health.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:corvdinformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD), Influenza Division (ID)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-12-23",
      "issued": "2024-08-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "ncird-id",
        "respiratory disease",
        "ncird-corvd",
        "ncird",
        "influenza",
        "flu",
        "emergency department",
        "covid-19",
        "coronavirus",
        "sars-cov-2",
        "rsv",
        "respiratory syncytial virus"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://data.cdc.gov/d/ch5i-63ve",
        "title": "data.cdc.gov"
      },
      "rights": [
        "Public Domain US Government"
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://data.cdc.gov/api/views/ch5i-63ve.json",
        "title": "data.cdc.gov"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "BEAM Dashboard – Top 30 Most Common Serotypes",
      "description": "The BEAM (Bacteria, Enterics, Amoeba, and Mycotics) Dashboard is an interactive tool to access and visualize data from the System for Enteric Disease Response, Investigation, and Coordination (SEDRIC). The BEAM Dashboard provides timely data on pathogen trends and serotype details to inform work to prevent illnesses from food and animal contact.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ch83-ush6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "SIMSO",
          "hasEmail": "mailto:simso@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/57qz-rujz",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "beam",
        "escherichia",
        "salmonella",
        "beam dashboard"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ch83-ush6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ch83-ush6",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ch83-ush6/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ch83-ush6",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ch83-ush6/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ch83-ush6/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ch83-ush6",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ch83-ush6/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "BEAM Dashboard – Top 30 Most Common Serotypes - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ch83-ush6",
        "description": "BEAM Dashboard – Top 30 Most Common Serotypes - Dataset Home",
        "issued": "2022-12-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/57qz-rujz",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/chcz-j2du",
      "identifier": "https://data.cdc.gov/api/views/chcz-j2du",
      "title": "AH Deaths by Year, Sex, and Age for 2015-2020",
      "description": "Death counts by age and sex for years 2015-2020. Data for 2015-2019 are final. Data for 2020 are provisional.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Deaths by Year, Sex, and Age for 2015-2020",
          "description": "Death counts by age and sex for years 2015-2020. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/chcz-j2du",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Deaths by Year, Sex, and Age for 2015-2020",
        "accessURL": "https://www.cdc.gov/nchs/nvss/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome",
      "description": "NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Includes data for old world hantavirus infections, such as Seoul virus infections. Prior to 2015, this condition was not nationally notifiable and data for this condition was not submitted to CDC's National Notifiable Diseases Surveillance System (NNDSS).\n¶ Includes data for Andes virus infections.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/chmz-4uae",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "2021",
        "hantavirus pulmonary syndrome",
        "hantavirus infection",
        "non-hantavirus pulmonary syndrome",
        "wonder",
        "nndss",
        "netss",
        "nedss",
        "hansen's disease"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/chmz-4uae/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/chmz-4uae",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/chmz-4uae/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/chmz-4uae",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/chmz-4uae/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/chmz-4uae/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/chmz-4uae",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/chmz-4uae/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/chmz-4uae/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/chmz-4uae",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/chmz-4uae/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/chmz-4uae",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/chmz-4uae/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/chmz-4uae",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/chmz-4uae",
        "description": "NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Efficacy of powered air-purifying respirators (PAPRs) for source control of simulated respiratory aerosols-dataset",
      "description": "Powered air purifying respirators (PAPRs) are a popular alternative to the use of filtering facepiece respirators by healthcare workers. Although PAPRs protect the wearer from aerosol particles, their ability to block infectious aerosol particles exhaled by the wearer from being released into the environment (called source control) is unclear.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/chnh-3rdi",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Allergy and Clinical Immunology Branch (ACIB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/chnh-3rdi/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/chnh-3rdi",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Efficacy of powered air-purifying respirators (PAPRs) for source control of simulated respiratory aerosols-dataset - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/chnh-3rdi",
        "description": "Efficacy of powered air-purifying respirators (PAPRs) for source control of simulated respiratory aerosols-dataset - Dataset Home",
        "issued": "2024-11-22",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC COVID-19 Cases and Deaths Ensemble Forecast Archive",
      "description": "This dataset contains forecasted weekly numbers of reported COVID-19 incident cases, incident deaths, and cumulative deaths in the United States, previously reported on COVID Data Tracker (https://covid.cdc.gov/covid-data-tracker/#datatracker-home). These forecasts were generated using mathematical models by CDC partners in the COVID-19 Forecast Hub (https://covid19forecasthub.org/doc/ensemble/). A CDC ensemble model was produced every week using the submitted models from that week at the national, and state/territory level. \n\n\nThis dataset is intended to mirror the observed and forecasted data, previously available for download on the CDC’s COVID Data Tracker.  Mortality forecasts for both new and cumulative reported COVID-19 deaths were produced at the state and territory level and national level. Forecasts of new reported COVID-19 cases were produced at the county, state/territory, and national level. Please note that this dataset is not complete for every model, date, location or combination thereof. Specifically, county level submissions for COVID-19 incident cases were accepted, but not required, and are missing or incomplete for many models and dates.  State and territory-level forecasts are more complete, but not all models submitted forecasts for all locations, dates, and targets (new reported deaths, new reported cases, and cumulative reported deaths).  Forecasts for COVID-19 incident cases were discontinued in February 2022. Forecasts for COVID-19 cumulative and incident deaths were discontinued in March 2023.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ci7c-73kg",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Center for Forecasting and Outbreak Analytics",
          "hasEmail": "mailto:cfadata@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2cab-tuzb",
        "@type": "Organization",
        "name": "Center for Forecasting and Outbreak Analytics"
      },
      "keyword": [
        "forecast",
        "ensemble",
        "model",
        "cases",
        "coronavirus",
        "deaths",
        "covid-19"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ci7c-73kg/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ci7c-73kg",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ci7c-73kg/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ci7c-73kg",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ci7c-73kg/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ci7c-73kg/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ci7c-73kg",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ci7c-73kg/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC COVID-19 Cases and Deaths Ensemble Forecast Archive - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ci7c-73kg",
        "description": "CDC COVID-19 Cases and Deaths Ensemble Forecast Archive - Dataset Home",
        "issued": "2023-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2cab-tuzb",
            "@type": "Organization",
            "name": "Center for Forecasting and Outbreak Analytics"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "National"
      },
      "license": "http://creativecommons.org/licenses/by/4.0/legalcode",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Place Data (GIS Friendly Format), 2021 release",
      "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/cj8b-94cj",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
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        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
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        "outcomes",
        "health",
        "gis",
        "city",
        "behaviors",
        "risk",
        "prevention",
        "status",
        "places"
      ],
      "modified": "2026-09-22",
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          "accessURL": "https://data.cdc.gov/d/cj8b-94cj",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
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          "accessURL": "https://data.cdc.gov/d/cj8b-94cj",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cj8b-94cj/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cj8b-94cj",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Place Data (GIS Friendly Format), 2021 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cj8b-94cj",
        "description": "PLACES: Place Data (GIS Friendly Format), 2021 release - Dataset Home",
        "issued": "2022-10-11",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
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      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections",
      "description": "NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses. With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2012 have been variant influenza viruses.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/cjin-8pa3",
      "contactPoint": [
        {
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nndss",
        "novel influenza a virus infections",
        "wonder",
        "nedss",
        "netss",
        "2019",
        "mumps"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/cjin-8pa3/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cjin-8pa3",
          "mediaType": "text/csv",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/cjin-8pa3/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cjin-8pa3",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/cjin-8pa3/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cjin-8pa3/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cjin-8pa3",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/cjin-8pa3/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cjin-8pa3",
        "description": "NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
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      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Vaccine Hesitancy for COVID-19",
      "description": "To support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates using the most recently available federal survey data.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/cnd2-a6zw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Joel Ruhter",
          "hasEmail": "mailto:joel.ruhter@hhs.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/tjyw-xtku",
        "@type": "Organization",
        "name": "HHS ASPE"
      },
      "keyword": [
        "coronavirus",
        "covid-19",
        "vaccine hesitancy"
      ],
      "modified": "2021-06-17",
      "landingPage": {
        "@type": "Document",
        "title": "Vaccine Hesitancy for COVID-19 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cnd2-a6zw",
        "description": "Vaccine Hesitancy for COVID-19 - Dataset Home",
        "issued": "2021-04-09",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/tjyw-xtku",
            "@type": "Organization",
            "name": "HHS ASPE"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Tuberculosis Epidemiologic Studies Consortium (TBESC) II Part C Sub Study: Assessing Patient Barriers and Facilitators to TB Prevention and Care at Community Health Clinics and TB Clinics",
      "description": "This was a sub study of a larger study that had a mixed methods approach focused on identifying barriers and facilitators to increasing testing and treatment of latent tuberculosis infection at community health clinics and tuberculosis (TB) clinics. This sub study focuses on the patient perspective on the barriers and facilitators to TB prevention and care.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/cndj-vxkf",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Tuberculosis Epidemiologic Studies Consortium",
          "hasEmail": "mailto:tbesc3@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/f2ch-h7gm",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "care cascade",
        "cascade of care",
        "latent tuberculosis infection (ltbi)",
        "patient perspective",
        "tuberculosis (tb)"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/cndj-vxkf/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/cndj-vxkf",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Tuberculosis Epidemiologic Studies Consortium (TBESC) II Part C Sub Study: Assessing Patient Barriers and Facilitators to TB Prevention and Care at Community Health Clinics and TB Clinics - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cndj-vxkf",
        "description": "Tuberculosis Epidemiologic Studies Consortium (TBESC) II Part C Sub Study: Assessing Patient Barriers and Facilitators to TB Prevention and Care at Community Health Clinics and TB Clinics - Dataset Home",
        "issued": "2025-03-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/f2ch-h7gm",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:027"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2021-2023",
      "description": "2021 to 2023, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and racial/ethnic group. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/cpdh-8cna",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHDSP Requests",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/a7ta-3b7u",
        "@type": "Organization",
        "name": "DHDSP Small Area Analysis Team"
      },
      "keyword": [
        "counties",
        "cerebrovascular disease",
        "county",
        "stroke",
        "cardiovascular disease",
        "cardiovascular"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cpdh-8cna/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cpdh-8cna",
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          "modified": "2026-09-22"
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          "downloadURL": "https://data.cdc.gov/api/v3/views/cpdh-8cna/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cpdh-8cna",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/cpdh-8cna/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cpdh-8cna",
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      "landingPage": {
        "@type": "Document",
        "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2021-2023 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cpdh-8cna",
        "description": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2021-2023 - Dataset Home",
        "issued": "2025-08-06",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/a7ta-3b7u",
            "@type": "Organization",
            "name": "DHDSP Small Area Analysis Team"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "All counties in the United States"
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:029"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic",
      "description": "NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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      "identifier": "https://data.cdc.gov/api/views/cqcc-kwwr",
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          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
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        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
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      ],
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        "@type": "Document",
        "title": "NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cqcc-kwwr",
        "description": "NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - Dataset Home",
        "issued": "2019-04-24",
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    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/api/views/cr56-k9wj",
      "title": "An aggregated dataset of serially collected influenza A virus morbidity and titer measurements from virus-infected ferrets.",
      "description": "Data from influenza A virus (IAV) infected ferrets (Mustela putorius furo) provides invaluable information towards the study of novel and emerging viruses that pose a threat to human health. This gold standard animal model can recapitulate many clinical signs of infection present in IAV-infected humans, support virus replication of human and zoonotic strains without prior adaptation, and permit evaluation of virus transmissibility by multiple modes. While ferrets have been employed in risk assessment settings for >20 years, results from this work are typically reported in discrete stand-alone publications, making aggregation of raw data from this work over time nearly impossible. Here, we describe a dataset of 851 ferrets inoculated with 135 unique IAV, conducted by a single research group (NCIRD/ID/IPB/Pathogenesis Laboratory Team) under a uniform experimental protocol. This collection of morbidity, mortality, and viral titer data represents the largest publicly available dataset to date of in vivo-generated IAV infection outcomes on a per-individual ferret level.\n\nPublished Data Descriptor for more information:\nKieran TJ, Sun X, Creager HM, Tumpey TM, Maines TR, Belser JA. 2024. An aggregated dataset of serial morbidity and titer measurements from influenza A virus-infected ferrets. Sci Data 11, 510. https://doi.org/10.1038/s41597-024-03256-6\n\nAdditional publications using and describing data:\nKieran TJ, Sun X, Maines TR, Beauchemin CAA, Belser JA. 2024. Exploring associations between viral titer measurements and disease outcomes in ferrets inoculated with 125 contemporary influenza A viruses. J Virol. 98:e01661-23. https://doi.org/10.1128/jvi.01661-23\n\nBelser JA, Kieran TJ, Mitchell ZA, Sun X, Mayfield K, Tumpey TM, Spengler JR, Maines TR. 2024. Key considerations to improve the normalization, interpretation and reproducibility of morbidity data in mammalian models of viral disease. Dis Model Mech; 17 (3): dmm050511.  https://doi.org/10.1242/dmm.050511\n\nKieran TJ, Sun X, Maines TR, Belser JA. 2024. Machine learning approaches for influenza A virus risk assessment identifies predictive correlates using ferret model in vivo data. Communications Biology 7, 927. https://doi.org/10.1038/s42003-024-06629-0\n\nKieran TJ, Sun X, Maines TR, Belser JA. 2025. Predictive models of influenza A virus lethal disease: insights from ferret respiratory tract and brain tissues. Scientific Reports, 15, 24342. https://doi.org/10.1038/s41598-025-09154-0.\n\nBelser JA, Kieran TJ, Truelove MA, Daggett Jr G, Jean SM, Maines TR. 2026. Paired versus Single Housing of Ferrets (Mustela putorius furo) Does Not Influence Experimental Outcomes of Influenza A Virus Pathogenesis Studies. Journal of the American Association of Laboratory Animal Science, Feb 1:1-9 https://doi.org/10.30802/AALAS-JAALAS-25-191\n\nAdditional publications supporting responsible use and interpretation of data by others:\nKieran TJ, Maine TR, Belser JA. 2025. Eleven quick tips to unlock the power of in vivo data science. PLoS Comput Biol, 21(4):e1012947. https://doi.org/10.1371/journal.pcbi.1012947\n\nKieran TJ, Maines TR, Belser JA. 2025. Data alchemy, from lab to insight: Transforming in vivo experiments into data science gold. PLoS Pathog, 20(8):e1012460. https://doi.org/10.1371/journal.ppat.1012460\n\nChange / Update Log:\nNov 7, 2024: Corrected typographical errors in Origin column for A/Ohio/13/2017 and A/Hawaii/28/2020\n\nJuly 1, 2025: Added 3 viruses (A/Texas/36/1991, A/Texas/37/2024, A/Michigan/90/2024, total n=18 new rows)\n\nMarch 9, 2026: Added 6 viruses (A/Washington/239/2024, A/California/147/2024, A/Colorado/137/2024, A/British Columbia/PHL-2032/2024, A/Massachusetts/19/2022, A/Puerto Rico/8/1934, total n=105 rows)",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-ID",
          "hasEmail": "mailto:idbioinformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD), Influenza Division (ID)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-03-09",
      "issued": "2024-01-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "National Center for Immunization and Respiratory Diseases"
        }
      ],
      "keyword": [
        "ncird-id",
        "ncird",
        "flu",
        "virus",
        "risk assessment",
        "pathogenesis",
        "in vivo",
        "influenza",
        "animal model",
        "ferret"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://data.cdc.gov/d/cr56-k9wj",
        "title": "data.cdc.gov"
      },
      "rights": [
        "Public Domain US Government"
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://data.cdc.gov/api/views/cr56-k9wj.json",
        "title": "data.cdc.gov"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Selected Trend Table from Health, United States, 2011. Diabetes prevalence and glycemic control among adults 20 years of age and over, by sex, age, and race and Hispanic origin: United States, selected years 1988 - 1994 through 2003 - 2006",
      "description": "Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/crtu-weni",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vr5q-rutf",
        "@type": "Organization",
        "name": "SFranco"
      },
      "keyword": [
        "hus",
        "diabetes",
        "adults"
      ],
      "modified": "2026-08-17",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/crtu-weni/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/crtu-weni",
          "mediaType": "text/csv",
          "modified": "2026-08-17"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/crtu-weni/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/crtu-weni",
          "mediaType": "application/json",
          "modified": "2026-08-17",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/crtu-weni/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/crtu-weni/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/crtu-weni",
          "mediaType": "application/xml",
          "modified": "2026-08-17",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/crtu-weni/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Selected Trend Table from Health, United States, 2011. Diabetes prevalence and glycemic control among adults 20 years of age and over, by sex, age, and race and Hispanic origin: United States, selected years 1988 - 1994 through 2003 - 2006 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/crtu-weni",
        "description": "Selected Trend Table from Health, United States, 2011. Diabetes prevalence and glycemic control among adults 20 years of age and over, by sex, age, and race and Hispanic origin: United States, selected years 1988 - 1994 through 2003 - 2006 - Dataset Home",
        "issued": "2013-08-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vr5q-rutf",
            "@type": "Organization",
            "name": "SFranco"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality",
      "description": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a \"U\" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Please refer to the CDC WONDER publication for weekly updates to the footnote for this condition.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ctu5-k6yz",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "influenza-associated pediatric mortality",
        "netss",
        "nndss",
        "perinatal infection",
        "wonder",
        "hepatitis c",
        "2020",
        "nedss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ctu5-k6yz/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ctu5-k6yz",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ctu5-k6yz/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ctu5-k6yz",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ctu5-k6yz/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ctu5-k6yz/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ctu5-k6yz",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ctu5-k6yz/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ctu5-k6yz/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ctu5-k6yz",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ctu5-k6yz/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ctu5-k6yz",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ctu5-k6yz/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ctu5-k6yz",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ctu5-k6yz",
        "description": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Undetermined",
      "description": "NNDSS - Table II. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Undetermined - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/cucp-zsht",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "ehrlichia ewingii infection",
        "ehrlichiosis and anaplasmosis",
        "nedss",
        "netss",
        "nndss",
        "undetermined",
        "wonder",
        "2018"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cucp-zsht/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cucp-zsht",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cucp-zsht/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cucp-zsht",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/cucp-zsht/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cucp-zsht/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cucp-zsht",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/cucp-zsht/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Undetermined - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cucp-zsht",
        "description": "NNDSS - Table II. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Undetermined - Dataset Home",
        "issued": "2019-01-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Correlation between graphitic carbon and elemental carbon in diesel particulate matter in workplace atmospheres-Dataset",
      "description": "We investigated the suitability of graphitic carbon (GC) content of diesel particulate matter (DPM), measured using Raman spectroscopy, as a surrogate measure of elemental carbon (EC), determined by thermal optical analysis.  Raman spectra in the range of 800-1800 cm-1 (including the D mode at ~1322 cm-1 and the G mode at ~1595 cm-1) were used for GC identification and quantification. Raman spectra for two certified DPM standards (SRM 1650 and SRM 2975), two types of diesel engine exhaust soot, and three types of DPM-enriched workplace aerosols were obtained.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/cuyd-c53m",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Chemical and Biological Monitoring Branch (CBMB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/cuyd-c53m/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/cuyd-c53m",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Correlation between graphitic carbon and elemental carbon in diesel particulate matter in workplace atmospheres-Dataset - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cuyd-c53m",
        "description": "Correlation between graphitic carbon and elemental carbon in diesel particulate matter in workplace atmospheres-Dataset - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, (age <5 years), Non-b serotype to Unknown serotype",
      "description": "NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, (age <5 years), Non-b serotype to Unknown serotype - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html\r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/cvcu-witw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "wonder",
        "2019",
        "haemophilus influenzae",
        "(age <5 years)",
        "invasive disease",
        "nedss",
        "netss",
        "nndss",
        "non-b serotype",
        "nontypeable",
        "unknown serotype"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cvcu-witw/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cvcu-witw",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cvcu-witw/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cvcu-witw",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/cvcu-witw/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cvcu-witw/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cvcu-witw",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/cvcu-witw/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, (age <5 years), Non-b serotype to Unknown serotype - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cvcu-witw",
        "description": "NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, (age <5 years), Non-b serotype to Unknown serotype - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis",
      "description": "NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/cw4r-vcr3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "severe acute respiratory syndrome-associated coronavirus disease",
        "wonder",
        "shigellosis",
        "shiga toxin-producing escherichia coli (stec)",
        "nndss",
        "netss",
        "nedss",
        "2021"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cw4r-vcr3/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cw4r-vcr3",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cw4r-vcr3/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cw4r-vcr3",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/cw4r-vcr3/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cw4r-vcr3/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cw4r-vcr3",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/cw4r-vcr3/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cw4r-vcr3/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cw4r-vcr3",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cw4r-vcr3/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cw4r-vcr3",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cw4r-vcr3/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cw4r-vcr3",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cw4r-vcr3",
        "description": "NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, Census Tract Data, 2025 release",
      "description": "This dataset contains model-based census tract estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey 2019-2023 or 2018–2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/cwsq-ngmh",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "social needs",
        "places",
        "prevalence",
        "prevention",
        "behaviors",
        "status",
        "risk",
        "health",
        "disability",
        "census tract",
        "brfss",
        "outcomes"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-Census-Tract-D/cwsq-ngmh"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cwsq-ngmh/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cwsq-ngmh",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cwsq-ngmh/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cwsq-ngmh",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/cwsq-ngmh/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cwsq-ngmh/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cwsq-ngmh",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/cwsq-ngmh/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cwsq-ngmh/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cwsq-ngmh",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cwsq-ngmh/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cwsq-ngmh",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cwsq-ngmh/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cwsq-ngmh",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Local Data for Better Health, Census Tract Data, 2025 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cwsq-ngmh",
        "description": "PLACES: Local Data for Better Health, Census Tract Data, 2025 release - Dataset Home",
        "issued": "2024-08-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Persisting Cryptococcus Yeast Species Vishniacozyma victoriae and Cryptococcus neoformans Elicit Unique Airway Inflammation in Mice Following Repeated Exposure",
      "description": "Allergic airway diseases are a growing concern in industrialized nations and can be influenced by fungal exposures. Pathogenic yeast species such as Cryptococcus neoformans are known to exacerbate allergic airway disease. Recent indoor assessments have identified Basidiomycota yeasts, including non-pathogenic species such as Vishniacozyma victoriae (syn. Cryptococcus victoriae), to be prevalent and potentially associated with asthma. However, the pulmonary immune response to repeated V. victoriae exposure was previously unexplored. This study aimed to compare the immunological impact of repeated pulmonary exposure to pathogenic and non-pathogenic Cryptococcus yeasts. Mice were repeatedly exposed to either C. neoformans, V. victoriae, or PBS control, and the immune responses were analyzed by measuring histopathological scores, and quantifications of immune cells in the bronchoalveolar lavage fluid or lung via flow cytometry, and cytokine concentrations in the lung. These findings highlight the importance of in vivo characterizations of exposures to frequently detected fungal organisms.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/cygf-tgyd",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Allergy and Clinical Immunology Branch (ACIB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/cygf-tgyd/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/cygf-tgyd",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Persisting Cryptococcus Yeast Species Vishniacozyma victoriae and Cryptococcus neoformans Elicit Unique Airway Inflammation in Mice Following Repeated Exposure - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cygf-tgyd",
        "description": "Persisting Cryptococcus Yeast Species Vishniacozyma victoriae and Cryptococcus neoformans Elicit Unique Airway Inflammation in Mice Following Repeated Exposure - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1A.  Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease",
      "description": "NNDSS - Table 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/cz39-ahbn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "wonder",
        "arboviral diseases",
        "anthrax",
        "2019",
        "chikungunya virus disease",
        "eastern equine encephalitis virus disease",
        "nedss",
        "netss",
        "neuroinvasive and non-neuroinvasive",
        "nndss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cz39-ahbn/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cz39-ahbn",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cz39-ahbn/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cz39-ahbn",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/cz39-ahbn/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/cz39-ahbn/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/cz39-ahbn",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/cz39-ahbn/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1A.  Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/cz39-ahbn",
        "description": "NNDSS - TABLE 1A.  Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Shoulder-Assist Exoskeleton Effects on Balance and Muscle Activity During a Block-laying Task on a Simulated Mast Climber",
      "description": "Masonry work, a sub-specialty of the construction industry, consists of brick and block-laying. Masonry workers often perform these tasks daily using an elevated work platform (e.g., mast climbers). Mast climbers are elevating equipment used to replace traditional scaffolds. They have been available in the United States since the 1980s.  Mast climbers are capable of handling much greater loads of workers and materials than traditional scaffolding. They also make reaching greater heights much easier, thereby improving efficiency on construction projects. However, working on an unstable work platform at elevation can increase the risks of slips, trips and falls, including falls to a lower level. From 1990 to 2017, there were a total of 35 recorded fatalities associated with the use of mast climbers. Of the 35 fatalities, 13 were masonry workers (OSHA report).  Additionally, working on a mast climber can also create awkward working postures due to the confined nature of the workspace. Masonry work can be physically demanding. Concrete block can weigh between 9-27 kg. The rate of overexertion among masonry workers was 33.4 per 10,000 FTEs compared to the average rate of 21.5 per 10,000 FTEs in all industries (BLS data). Shoulder-assist exoskeletons present an attractive possibility to reduce MSD risks in masonry workers if the exoskeletons do not cause adverse effects to the workers’ stability and balance. \n\nIn this study, we evaluated effects of three models of passive shoulder-assist exoskeletons on balance and shoulder muscle activity during a masonry task on a simulated mast climbing work platform. The balance-related parameters and shoulder muscle activities were compared when using or not using the exoskeletons. We want to evaluate the hypotheses that the exoskeletons (1) reduce shoulder muscle activity and (2) decrease the stability of the workers.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/d29v-yfc2",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Physical Effects Research Branch, Health Effects Laboratory Division",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/d29v-yfc2/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/d29v-yfc2",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Shoulder-Assist Exoskeleton Effects on Balance and Muscle Activity During a Block-laying Task on a Simulated Mast Climber - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/d29v-yfc2",
        "description": "Shoulder-Assist Exoskeleton Effects on Balance and Muscle Activity During a Block-laying Task on a Simulated Mast Climber - Dataset Home",
        "issued": "2024-12-06",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
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        "009:20"
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      "programCode": [
        "009:034"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Behavioral Risk Factor Surveillance System (BRFSS) Age-Adjusted Prevalence Data (2011 to present)",
      "description": "2011 to present. BRFSS combined land line and cell phone age-adjusted prevalence data. The BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. \nData will be updated annually as it becomes available.\n\nDetailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). \nMethodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf \nGlossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",
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      "identifier": "https://data.cdc.gov/api/views/d2rk-yvas",
      "contactPoint": [
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          "fn": "CDC UserSA",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
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      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "CDC UserSA"
      },
      "keyword": [
        "factor",
        "risk",
        "brfss",
        "behavioral",
        "age-adjusted",
        "survey",
        "surveillance"
      ],
      "modified": "2026-09-23",
      "distribution": [
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d2rk-yvas/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d2rk-yvas",
          "mediaType": "text/csv",
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        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d2rk-yvas/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d2rk-yvas",
          "mediaType": "application/json",
          "modified": "2026-09-23",
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            "accessURL": "https://data.cdc.gov/api/views/d2rk-yvas/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d2rk-yvas/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d2rk-yvas",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/d2rk-yvas/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d2rk-yvas/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d2rk-yvas",
          "mediaType": "application/geo+json",
          "modified": "2026-09-23"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d2rk-yvas/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d2rk-yvas",
          "mediaType": "application/vnd.google-earth.kml+xml",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/d2rk-yvas/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d2rk-yvas",
          "mediaType": "application/vnd.google-earth.kmz",
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        }
      ],
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        "@type": "Document",
        "title": "Behavioral Risk Factor Surveillance System (BRFSS) Age-Adjusted Prevalence Data (2011 to present) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/d2rk-yvas",
        "description": "Behavioral Risk Factor Surveillance System (BRFSS) Age-Adjusted Prevalence Data (2011 to present) - Dataset Home",
        "issued": "2023-07-19",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
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          }
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      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Nationwide Commercial Laboratory Seroprevalence Survey",
      "description": "CDC is working with commercial laboratories to conduct large-scale geographic seroprevalence surveys to estimate the percentage of people who were previously infected with SARS-CoV-2, the virus that causes COVID-19 disease. The strategy involves working with state, local, territorial, academic, and commercial partners to better understand COVID-19 in the United States using serology (antibody) testing for surveillance (“seroprevalence surveys” or “serosurveys”). For the surveys, de-identified clinical blood samples are tested for antibodies to SARS-CoV-2.\n\nThis dataset contains the data used to by the Nationwide Commercial Laboratory Seroprevalence Survey interactive visualization available at <a href=\"https://covid.cdc.gov/covid-data-tracker/#national-lab\">https://covid.cdc.gov/covid-data-tracker/#national-lab</a>.\n\nAdditional information is available at <a href=\"https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/commercial-lab-surveys.html\">https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/commercial-lab-surveys.html</a>.",
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      "identifier": "https://data.cdc.gov/api/views/d2tw-32xv",
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        {
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          "fn": "CDC-INFO",
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        }
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        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
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        "covid19",
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        "coronavirus"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/d2tw-32xv/export.csv?accessType=DOWNLOAD",
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          "accessURL": "https://data.cdc.gov/d/d2tw-32xv",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d2tw-32xv/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d2tw-32xv",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/d2tw-32xv/columns.xml",
            "title": "Columns for this asset"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Nationwide Commercial Laboratory Seroprevalence Survey - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/d2tw-32xv",
        "description": "Nationwide Commercial Laboratory Seroprevalence Survey - Dataset Home",
        "issued": "2023-01-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
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      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-02-01",
          "endDate": "2022-12-11"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
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      "@type": "Dataset",
      "title": "NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype",
      "description": "NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Notice: In Table 1n of the 2020 NNDSS weekly tables for weeks 1-53, data for Haemophilus influenzae in children < 5 years categorized as \"non-b serotype\" and \"unknown serotype\" were updated on 02/26/2021 to correct the data associated with these two serotype categories. The original version of the tables incorrectly displayed data for \"non-b serotype\" in the \"unknown serotype\" column and incorrectly displayed data for \"unknown serotype\" in the \"non-b serotype\" column. The data are corrected now.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a \"U\" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/d2zt-4m8y",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
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      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nndss",
        "nontypeable",
        "unknown serotype",
        "wonder",
        "2020",
        "age <5 years",
        "haemophilus influenzae",
        "invasive disease",
        "nedss",
        "netss",
        "non-b serotype"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/d2zt-4m8y/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d2zt-4m8y",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d2zt-4m8y/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d2zt-4m8y",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/d2zt-4m8y/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d2zt-4m8y/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d2zt-4m8y",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/d2zt-4m8y/columns.xml",
            "title": "Columns for this asset"
          }
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/d2zt-4m8y/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d2zt-4m8y",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d2zt-4m8y/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d2zt-4m8y",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d2zt-4m8y/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d2zt-4m8y",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/d2zt-4m8y",
        "description": "NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype - Dataset Home",
        "issued": "2021-02-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: County Data (GIS Friendly Format), 2024 release",
      "description": "This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2022 county population estimates, and American Community Survey (ACS) 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the census 2022 county boundary file in a GIS system to produce maps for 40 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/d3i6-k6z5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "risk",
        "status",
        "prevalence",
        "outcomes",
        "prevention",
        "county",
        "health",
        "places",
        "gis",
        "behaviors",
        "disability"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d3i6-k6z5/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d3i6-k6z5",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d3i6-k6z5/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d3i6-k6z5",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/d3i6-k6z5/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d3i6-k6z5/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d3i6-k6z5",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/d3i6-k6z5/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d3i6-k6z5/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d3i6-k6z5",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d3i6-k6z5/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d3i6-k6z5",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d3i6-k6z5/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d3i6-k6z5",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: County Data (GIS Friendly Format), 2024 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/d3i6-k6z5",
        "description": "PLACES: County Data (GIS Friendly Format), 2024 release - Dataset Home",
        "issued": "2025-12-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2011 (Part 7 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 15 of 48 and corresponds to the time range between February 14, 2011, and March 7, 2011.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/d3ze-jm8m",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/d3ze-jm8m/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/d3ze-jm8m",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 7 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/d3ze-jm8m",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 7 of 19) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
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      "title": "NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis",
      "description": "NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis\n\nNNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
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      "title": "NNDSS - Table II. Mumps to Rabies, animal",
      "description": "NNDSS - Table II. Mumps to Rabies, animal - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.",
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    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Rubella to Salmonellosis",
      "description": "NNDSS - Table II. Rubella to Salmonellosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.",
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    {
      "@type": "Dataset",
      "title": "Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and Booster Dose",
      "description": "Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status.\nClick 'More' for important dataset description and footnotes\n\nDataset and data visualization details:\nThese data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022. \n\nVaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected.\nAdditional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type.\n** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group.\nDeaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis.\nParticipating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases",
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        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d7xj-2da2/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d7xj-2da2",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/d7xj-2da2/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1X. Meningococcal disease,  Other serogroups to Meningococcal disease, Unknown serogroup - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/d7xj-2da2",
        "description": "NNDSS - TABLE 1X. Meningococcal disease,  Other serogroups to Meningococcal disease, Unknown serogroup - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "National Health Interview Survey (NHIS) - Mental Health Indicators",
      "description": "<b>Data source description - Adults</b>: NHIS monitors the health of the U.S. population by collecting and analyzing data on a broad range of health topics. Interviews are conducted continuously throughout the year, and are initiated in-person, with telephone follow-up. NHIS focuses on the health of children and adults in the United States. One adult household member is randomly selected to be the subject of a detailed health interview.  If children are present, one child is also randomly selected.  Adults answer on their own behalf, while a knowledgeable adult answers on behalf of the selected child.  NHIS topics featured include adult life satisfaction, anxiety, depression, mental health conditions, mental health care, and social and emotional support.    \n\n \n<b>Data source description - Teenagers</b>: NHIS-Teen was a web-based health survey of teenagers between the ages of 12 to 17. Answers from teenagers helped paint a picture of the health of teenagers living in the United States. NHIS-Teen covered questions on a variety of health topics, including doctor visits, mental health, and social and emotional support. Data were collected between July 2021 and December 2023. \n\n \n<b>For additional information, please see</b>: <a href = \"https://www.cdc.gov/mental-health/about-data/mental-health-data-sources.html\" target =\"_blank\">Mental Health Data Sources</a>.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/d89q-62iu",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Mental Health Data Channel",
          "hasEmail": "mailto:mentalhealthdata@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cxhp-e5ei",
        "@type": "Organization",
        "name": "Mental Health Data Channel"
      },
      "keyword": [
        "survey",
        "nhis-teen",
        "nhis",
        "mental health"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d89q-62iu/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d89q-62iu",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d89q-62iu/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d89q-62iu",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/d89q-62iu/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/d89q-62iu/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/d89q-62iu",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/d89q-62iu/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Health Interview Survey (NHIS) - Mental Health Indicators - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/d89q-62iu",
        "description": "National Health Interview Survey (NHIS) - Mental Health Indicators - Dataset Home",
        "issued": "2025-08-27",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cxhp-e5ei",
            "@type": "Organization",
            "name": "Mental Health Data Channel"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "U.S."
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:033"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "V-safe RSV for Adults",
      "description": "Users of the V-safe data are required to adhere to the following standards for the analysis and reporting of research data. All research results must be presented and/or published in a manner that protects the confidentiality of participants. V-safe data will not be presented and/or published in any way in which an individual can be identified. Therefore, users will:<ol>\n<li>Not attempt to link or permit others to link the data with individually identified records in another database.\n<li>Not attempt to learn the identity of any participant in the data and will not deliberately combine these data with other CDC or non-CDC data for the purpose of matching records to identify individuals. If you should inadvertently discover the identity of any participant, you will ensure the identity of any participant is kept confidential, and will not be used in any publications and/or presentations.\n<li>Not imply or state, either in written or oral form, that interpretations based on analysis of the data reflect official CDC policies or positions.\n<li>Understand that sub-national analyses are not appropriate for this national sample and will not be conducted. \n<li>Understand that V-safe is a voluntary self-enrollment program requiring smartphone access; therefore, information from V-safe might not be representative or generalizable to the US population.</li></ol>\nBy clicking on the weblink below to download and use these V-safe data, you signify your agreement to comply with the above-stated terms.\n\nV-safe is a voluntary U.S. active safety surveillance system established by CDC to characterize local and systemic side effects of new vaccines administered after U.S. authorization or licensure. V-safe participants are not a random sample of all vaccinated persons in the United States and data might not be generalizable to the full U.S. vaccinated population. Participants may have been more likely to complete surveys if experiencing symptoms post-vaccination. All V-safe measures are self-reported, therefore there may be some misclassification of outcomes, vaccine-related information, or demographics.\n\nFor participants who requested corrections (i.e. vaccination date or vaccine manufacturer) to their vaccination record, data may be missing or incorrect for one or more doses. Requested corrections were applied to ‘Enrollment’ and ‘Vaccination’ files. The old vaccination records are located in the ‘Vaccination (Old Records)’ file while the corrected vaccine records are in the ‘Vaccination’ file. Mobile outages or technical malfunctions may have caused a small number of missing surveys or collection of incorrect survey type. Occasional system outages and attrition over time also contribute to incomplete reporting. \n\nV-safe RSV for Adults public data includes enrollment, vaccination information, and daily and weekly surveys collected from 10/20/2023 to 3/23/2025. Corresponding V-safe Registration public data (de-identified demographic data) can be downloaded at data.cdc.gov. Please review the V-safe data user agreement before analyzing any V-safe data.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/d93e-ghgr",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vsafe@cdc.gov",
          "hasEmail": "mailto:Vsafe@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/crne-bzv2",
        "@type": "Organization",
        "name": "v-safe"
      },
      "keyword": [
        "v-safe",
        "vaccine safety"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/d93e-ghgr/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/d93e-ghgr",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "V-safe RSV for Adults - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/d93e-ghgr",
        "description": "V-safe RSV for Adults - Dataset Home",
        "issued": "2026-03-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/crne-bzv2",
            "@type": "Organization",
            "name": "v-safe"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/api/views/d9u6-mdu6",
      "title": "An aggregated dataset of day 3 post-inoculation viral titer measurements from influenza A virus-infected ferret tissues",
      "description": "Data from influenza A virus (IAV) infected ferrets (Mustela putorius furo) provides invaluable information towards the study of novel and emerging viruses that pose a threat to human health. This gold standard animal model can recapitulate many clinical signs of infection present in IAV-infected humans, supports virus replication of human and zoonotic strains without prior adaptation, and permits evaluation of virus transmissibility by multiple modes. While ferrets have been employed in risk assessment settings for >20 years, results from this work are typically reported in discrete stand-alone publications, making aggregation of raw data from this work over time nearly impossible. Here, we describe a dataset of 351 ferrets inoculated with 110 unique IAV, conducted by a single research group (NCIRD/ID/IPB/Pathogenesis Laboratory Team) under a uniform experimental protocol. This collection of ferret tissue viral titer data on a per-individual ferret level represents a companion dataset to ‘An aggregated dataset of serially collected influenza A virus morbidity and titer measurements from virus-infected ferrets’. However, care must be taken when combining datasets at the level of individual animals (see PMID 40245007 for guidance in best practices for comparing datasets comprised of serially-collected and fixed-timepoint in vivo-generated data).\n\nSee publications using and describing data for more information:\nKieran TJ, Sun X, Tumpey TM, Maines TR, Belser JA. 2025. Spatial variation of infectious virus load in aggregated day 3 post-inoculation respiratory tract tissues from influenza A virus-infected ferrets. mSphere 10:e00346-25. https://doi.org/10.1128/msphere.00346-25.\n\nKieran TJ, Sun X, Maines TR, Belser JA. 2025. Predictive models of influenza A virus lethal disease: insights from ferret respiratory tract and brain tissues. Scientific Reports, 15, 24342. https://doi.org/10.1038/s41598-025-09154-0.\n\nBullock TA, Pappas C, Uyeki TM, Brock N, Kieran TJ, Olsen SJ, Davis CD, Tumpey TM, Maines TR, Belser JA. 2025. The (digestive) path less traveled: influenza A virus and the gastrointestinal tract. mBio mBio 16:e01017-25. https://doi.org/10.1128/mbio.01017-25.\n\nKieran TJ, Sun X, Maines TR, Beauchemin CAA, Belser JA. 2024. Exploring associations between viral titer measurements and disease outcomes in ferrets inoculated with 125 contemporary influenza A viruses. J Virol98: e01661-23. https://doi.org/10.1038/s41597-024-03256-6\n\nRelated dataset:\nKieran TJ, Sun X, Creager HM, Tumpey TM, Maine TR, Belser JA. 2025. An aggregated dataset of serial morbidity and titer measurements from influenza A virus-infected ferrets. Sci Data, 11(1):510. https://doi.org/10.1038/s41597-024-03256-6\n\nhttps://data.cdc.gov/National-Center-for-Immunization-and-Respiratory-D/An-aggregated-dataset-of-serially-collected-influe/cr56-k9wj/about_data\n\nOther relevant publications for best practices on data handling and interpretation:\nKieran TJ, Maines TR, Belser JA. 2025. Eleven quick tips to unlock the power of in vivo data science. PLoS Comput Biol, 21(4):e1012947. https://doi.org/10.1371/journal.pcbi.1012947\n\nKieran TJ, Maines TR, Belser JA. 2025. Data alchemy, from lab to insight: Transforming in vivo experiments into data science gold. PLoS Pathog, 20(8):e1012460. https://doi.org/10.1371/journal.ppat.1012460\n\nChange / Update Log:\nMar 9, 2026: Added 3 viruses (A/Washington/239/2024, A/Colorado/137/2024, A/Puerto Rico/8/1934), n=18 new ferrets",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-ID",
          "hasEmail": "mailto:idbioinformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD), Influenza Division (ID)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-03-09",
      "issued": "2025-05-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "National Center for Immunization and Respiratory Diseases"
        }
      ],
      "keyword": [
        "ferret",
        "flu",
        "influenza",
        "in vivo",
        "ncird",
        "ncird-id",
        "necropsy",
        "pathogenesis",
        "risk assessment",
        "tissue",
        "virus",
        "animal model"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://data.cdc.gov/d/d9u6-mdu6",
        "title": "data.cdc.gov"
      },
      "rights": [
        "Public Domain US Government"
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://data.cdc.gov/api/views/d9u6-mdu6.json",
        "title": "data.cdc.gov"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/daba-4vfq",
      "identifier": "https://data.cdc.gov/api/views/daba-4vfq",
      "title": "DQS Birth and fertility rates, by age group, race, and Hispanic origin of mother: United States",
      "description": "Data on birth rates and fertility rates in the United States, by age group, race, and Hispanic origin of mother. Data are from Health, United States. SOURCE: National Vital Statistics System, Birth File. Search, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Birth and fertility rates, by age group, race, and Hispanic origin of mother: United States",
          "description": "Data on birth rates and fertility rates in the United States, by age group, race, and Hispanic origin of mother. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/daba-4vfq",
          "modified": "2026-06-03"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-06-03",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Birth and fertility rates, by age group, race, and Hispanic origin of mother: United States",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/ddsk-zebd",
      "identifier": "https://data.cdc.gov/api/views/ddsk-zebd",
      "title": "NCHS - Infant Mortality Rates, by Race: United States, 1915-2013",
      "description": "All birth data by race before 1980 are based on race of the child; starting in 1980, birth data by race are based on race of the mother. Birth data are used to calculate infant mortality rate.\n\nhttps://www.cdc.gov/nchs/data-visualization/mortality-trends/",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Infant Mortality Rates, by Race: United States, 1915-2013",
          "description": "All birth data by race before 1980 are based on race of the child; starting in 1980, birth data by race are based on race of the mother. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/ddsk-zebd",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Infant Mortality Rates, by Race: United States, 1915-2013",
        "accessURL": "https://www.cdc.gov/nchs/data-visualization/mortality-trends/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "National Survey of Children’s Health (NSCH) – Vision and Eye Health Surveillance",
      "description": "2016-17 merged. This dataset is a de-identified summary table of vision and eye health data indicators from the National Survye of Chilrens Health (NSCH), stratified by all available combinations of age group, race/ethnicity, sex, risk factor and state. NSCH is a telephone survey conducted by the National Center for Health Statistics at CDC (currently conducted by the U.S. Census Bureau) that examines the physical and emotional health of children 0-17 years of age. Approximate sample size is 95,000 over two rounds of data collection. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Detailed information on VEHSS NSCH analyses can be found on the VEHSS NSCH webpage (cdc.gov/visionhealth/vehss/data/national-surveys/national-survey-of-childrens-health.html). Additional information about NSCH can be found on the NSCH website (http://childhealthdata.org/learn/NSCH). The VEHSS NSCH dataset was last updated in November 2019.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/de4p-4g3k",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DDT Public Inquiries",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "contact lenses",
        "vision impairment",
        "glasses",
        "nsch",
        "visual function"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/d/de4p-4g3k"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/de4p-4g3k/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/de4p-4g3k",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/de4p-4g3k/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/de4p-4g3k",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/de4p-4g3k/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/de4p-4g3k/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/de4p-4g3k",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/de4p-4g3k/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/de4p-4g3k/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/de4p-4g3k",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/de4p-4g3k/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/de4p-4g3k",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/de4p-4g3k/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/de4p-4g3k",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Survey of Children’s Health (NSCH) – Vision and Eye Health Surveillance - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/de4p-4g3k",
        "description": "National Survey of Children’s Health (NSCH) – Vision and Eye Health Surveillance - Dataset Home",
        "issued": "2025-05-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:029"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "DPM OC, EC and FT-IR data (Quantifying elemental and organic carbon in diesel particulate matter by mid infrared spectrometry).",
      "description": "A method for the quantification of airborne organic carbon (OC) and elemental carbon (EC) within aerosolized diesel particulate matter (DPM) is described in the article cited below. DPM is a known carcinogen encountered in many industrial workplaces (notably mining) and in the ambient atmosphere. The method described here collects DPM particles onto a quartz fiber filter, after which reflection-mode infrared spectra are measured on a mid-infrared Fourier transform (FT-IR) spectrometer. Several infrared absorption bands are investigated for their efficacy in quantifying OC and EC. The thermo-optical (T-O) method is used to calibrate a linear regression model to predict OC and EC from the infrared spectra. The calibrated model, generated from laboratory DPM samples, is then utilized to quantify OC and EC in\nmine samples obtained from two metal mine locations under a variety of operating conditions. The feasibility of further improving these results by partial least squares (PLS) regression was investigated. A single calibration that is broadly applicable would be considered an improvement over currently available portable instruments, which require aerosol-specific calibration.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/dgwc-f5xf",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Miner Health Branch (MHB), Spokane Mining Research Division (SMRD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
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          "mediaType": "application/x-zip-compressed",
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "DPM OC, EC and FT-IR data (Quantifying elemental and organic carbon in diesel particulate matter by mid infrared spectrometry). - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/dgwc-f5xf",
        "description": "DPM OC, EC and FT-IR data (Quantifying elemental and organic carbon in diesel particulate matter by mid infrared spectrometry). - Dataset Home",
        "issued": "2024-11-15",
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        "009:034"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Vaccine Hesitancy for COVID-19: Public Use Microdata Areas (PUMAs)",
      "description": "Due to the change in the survey instrument regarding intention to vaccinate, our estimates for “hesitant or unsure” or “hesitant” derived from April 14-26, 2021, are not directly comparable with prior Household Pulse Survey data and should not be used to examine trends in hesitancy.\n\nTo support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates(https://aspe.hhs.gov/pdf-report/vaccine-hesitancy) using the most recently available federal survey data.\n\nWe estimate hesitancy rates at the state level using the U.S. Census Bureau’s Household Pulse Survey (HPS)(https://www.census.gov/programs-surveys/household-pulse-survey.html) data and utilize the estimated values to predict hesitancy rates in more granular areas using the Census Bureau’s 2019 American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS)(https://www.census.gov/programs-surveys/acs/microdata.html). Public Use Microdata Areas (PUMA) level – PUMAs are geographic areas within each state that contain no fewer than 100,000 people. PUMAs can consist of part of a single densely populated county or can combine parts or all of multiple counties that are less densely populated.\n\nThe HPS is nationally representative and includes information on U.S. residents’ intentions to receive the COVID-19 vaccine when available, as well as other sociodemographic and geographic (state, region and metropolitan statistical areas) information. The ACS is a nationally representative survey, and it provides key sociodemographic and geographic (state, region, PUMAs, county) information. We utilized data for the survey collection period May 26, 2021 – June 7, 2021, which the HPS refers to as Week 31.\n\n\nCounty and State Hesitancy Data - https://data.cdc.gov/Vaccinations/Vaccine-Hesitancy-for-COVID-19-County-and-local-es/q9mh-h2tw",
      "accessLevel": "public",
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        }
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        "@id": "https://data.cdc.gov/user/tjyw-xtku",
        "@type": "Organization",
        "name": "HHS/ASPE"
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      "keyword": [
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        "covid-19",
        "coronavirus"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/djj9-kh3p",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        },
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          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Vaccine Hesitancy for COVID-19: Public Use Microdata Areas (PUMAs) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/djj9-kh3p",
        "description": "Vaccine Hesitancy for COVID-19: Public Use Microdata Areas (PUMAs) - Dataset Home",
        "issued": "2021-05-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/tjyw-xtku",
            "@type": "Organization",
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        ]
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      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "500 Cities: City-level Data (GIS Friendly Format), 2017 release",
      "description": "2015, 2014. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/djk3-k3zs",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "500 Cities Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "census",
        "gis",
        "cities",
        "outcomes",
        "behaviors",
        "500cities",
        "prevalence",
        "prevention",
        "tract",
        "unhealthy"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/djk3-k3zs/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/djk3-k3zs",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/djk3-k3zs/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/djk3-k3zs",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/djk3-k3zs/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/djk3-k3zs",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/djk3-k3zs/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "500 Cities: City-level Data (GIS Friendly Format), 2017 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/djk3-k3zs",
        "description": "500 Cities: City-level Data (GIS Friendly Format), 2017 release - Dataset Home",
        "issued": "2018-10-16",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis",
      "description": "NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/dkyk-v5f5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nedss",
        "shiga toxin-producing escherichia coli (stec)",
        "severe acute respiratory syndrome-associated coronavirus disease",
        "nndss",
        "wonder",
        "shigellosis",
        "2022",
        "netss"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/dkyk-v5f5/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dkyk-v5f5",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dkyk-v5f5/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dkyk-v5f5",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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          }
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/dkyk-v5f5/query.xml?accessType=DOWNLOAD",
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          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "accessURL": "https://data.cdc.gov/api/views/dkyk-v5f5/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dkyk-v5f5/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dkyk-v5f5",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dkyk-v5f5/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dkyk-v5f5",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dkyk-v5f5/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dkyk-v5f5",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/dkyk-v5f5",
        "description": "NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/dmnu-8erf",
      "identifier": "https://data.cdc.gov/api/views/dmnu-8erf",
      "title": "Provisional COVID-19 death counts and rates, by jurisdiction of residence and demographic characteristics",
      "description": "This file contains COVID-19 death counts and rates by jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). United States death counts and rates include the 50 states, plus the District of Columbia.\n\nDeaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file.\n\nData during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.\n\nDeath counts should not be compared across jurisdictions. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly.\n\nThe ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.\n\nRates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf).\n\nRate are based on deaths occurring in the specified week and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly) rate prevailed for a full year.\n\nSub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
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        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Provisional COVID-19 death counts and rates, by jurisdiction of residence and demographic characteristics",
          "description": "This file contains COVID-19 death counts and rates by jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/dmnu-8erf",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Provisional COVID-19 death counts and rates, by jurisdiction of residence and demographic characteristics",
        "accessURL": "https://data.cdc.gov/d/dmnu-8erf"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/dmzy-x2ad",
      "identifier": "https://data.cdc.gov/api/views/dmzy-x2ad",
      "title": "Delay or nonreceipt of needed medical care, prescription drugs, or dental care during the past 12 months due to cost: United States",
      "description": "Data on delay or nonreceipt of needed medical care, nonreceipt of needed prescription drugs, or nonreceipt of needed dental care during the past 12 months due to cost by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time.\n\nSOURCE: NCHS, National Health Interview Survey, Family Core, Sample Child, and Sample Adult questionnaires. Data for level of difficulty are from the 2010 Quality of Life, 2011-2017 Functioning and Disability, and 2018 Sample Adult questionnaires. For more information on the National Health Interview Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.",
      "contactPoint": {
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        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
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      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Delay or nonreceipt of needed medical care, prescription drugs, or dental care during the past 12 months due to cost: United States",
          "description": "Data on delay or nonreceipt of needed medical care, nonreceipt of needed prescription drugs, or nonreceipt of needed dental care during the past 12 months due to cost by selected population characteristics. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/dmzy-x2ad",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
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      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Delay or nonreceipt of needed medical care, prescription drugs, or dental care during the past 12 months due to cost: United States",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/dnhi-s2bf",
      "identifier": "https://data.cdc.gov/api/views/dnhi-s2bf",
      "title": "AH Provisional COVID-19 Death Counts by Quarter and County",
      "description": "Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by quarter and county of residence, in the United States, 2020-2021.",
      "contactPoint": {
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        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Provisional COVID-19 Death Counts by Quarter and County",
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          "accessURL": "https://data.cdc.gov/api/views/dnhi-s2bf",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
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      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Provisional COVID-19 Death Counts by Quarter and County",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
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        "children and adolescents"
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    },
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      "title": "CDC PRAMStat Data for 2002",
      "description": "2002.  Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
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        "description": "CDC PRAMStat Data for 2002 - Dataset Home",
        "issued": "2023-07-19",
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          {
            "@id": "https://data.cdc.gov/user/uj8q-r4hw",
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      "accessRights": "public",
      "inventoried": "2026-09-27"
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        "all ages all serotypes",
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          "accessURL": "https://data.cdc.gov/d/dp9i-idru",
          "mediaType": "application/json",
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        {
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          "accessURL": "https://data.cdc.gov/d/dp9i-idru",
          "mediaType": "application/xml",
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        "@type": "Document",
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        "description": "NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b - Dataset Home",
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      "bureauCode": [
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      "inventoried": "2026-09-27"
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    {
      "@type": "Dataset",
      "title": "V-safe COVID-19 Pandemic",
      "description": "Users of the V-safe data are required to adhere to the following standards for the analysis and reporting of research data. All research results must be presented and/or published in a manner that protects the confidentiality of participants. V-safe data will not be presented and/or published in any way in which an individual can be identified. \n\nTherefore, users will:\n<ol>\n<li>Not attempt to link or permit others to link the data with individually identified records in another database.</li>\n<li>Not attempt to learn the identity of any participant in the data and will not deliberately combine these data with other CDC or non-CDC data for the purpose of matching records to identify individuals. If you should inadvertently discover the identity of any participant, you will ensure the identity of any participant is kept confidential, and will not be used in any publications and/or presentations.</li>\n<li>Not imply or state, either in written or oral form, that interpretations based on analysis of the data reflect official CDC policies or positions.</li>\n<li>Understand that sub-national analyses are not appropriate for this national sample and will not be conducted. </li>\n<li>Understand that V-safe is a voluntary self-enrollment program requiring smartphone access; therefore, information from V-safe might not be representative or generalizable to the US population.</li></ol>\nBy clicking on the weblink below to download and use these V-safe data, you signify your agreement to comply with the above-stated terms.\n\nV-safe is an active surveillance program to monitor the safety of COVID-19 vaccines that are authorized for use under U.S. Food and Drug Administration (FDA) Emergency Use Authorization (EUA) and after FDA licensure.\n\nThese data include registrant information (deidentified), health check-in, and vaccination data collected through V-safe from 12/13/2020 to 06/30/2023. Please review the V-safe data user agreement before analyzing any V-safe data. Updated on September 5, 2025, to comply with the President's Executive Order 14168.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/dqgu-gg5d",
      "contactPoint": [
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          "fn": "Immunization Safety Office",
          "hasEmail": "mailto:Vsafe@cdc.gov"
        }
      ],
      "publisher": {
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      "keyword": [
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        "v-safe"
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        "accessURL": "https://data.cdc.gov/d/dqgu-gg5d",
        "description": "V-safe COVID-19 Pandemic - Dataset Home",
        "issued": "2022-11-30",
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        "009:028"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable",
      "description": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease.",
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        "@type": "Document",
        "title": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/drfe-vxdh",
        "description": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - Dataset Home",
        "issued": "2019-04-26",
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly COVID-19 County Level of Community Transmission as Originally Posted - ARCHIVED",
      "description": "Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.\n\nWeekly COVID-19 Community Levels (CCLs) have been replaced with levels of COVID-19 hospital admission rates (low, medium, or high) which demonstrate <a href=\"https://www.cdc.gov/mmwr/volumes/72/wr/mm7219e1.htm\">>99% concordance</a> by county during February 2022–March 2023. For more information on the latest COVID-19 status levels in your area and hospital admission rates, visit <a href=\"https://covid.cdc.gov/covid-data-tracker/#cases_new-admissions-rate-county\">United States COVID-19 Hospitalizations, Deaths, and Emergency Visits by Geographic Area.</a>\n\nThis archived public use dataset contains historical case and percent positivity data updated weekly for all available counties and jurisdictions. Each week, the dataset was refreshed to capture any historical updates. Please note, percent positivity data may be incomplete for the most recent time period.\n\nThis archived public use dataset contains weekly community transmission levels data for all available counties and jurisdictions since October 20, 2022. The dataset was appended to contain the most recent week's data as originally posted on COVID Data Tracker. Historical corrections are not made to these data if new case or testing information become available. A separate archived file is made available here (<a href=\"https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn\">: Weekly COVID-19 County Level of Community Transmission Historical Changes</a>) if historically updated data are desired.\n\n<b>Related data</b> \nCDC provides the public with two active versions of COVID-19 county-level community transmission level data: this dataset with the levels as originally posted (<a href=\"https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6\">Weekly Originally Posted dataset</a>), updated weekly with the most recent week’s data since October 20, 2022, and a historical dataset with the county-level transmission data from January 22, 2020 (<a href=\"https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn\">Weekly Historical Changes dataset</a>).  \n \n<b>Methods for calculating county level of community transmission indicator</b> \nThe County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and <a href=\"https://www.cdc.gov/mmwr/volumes/70/wr/mm7030e2.htm?s_cid=mm7030e2_w#T1_down\">here</a>). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making. \n \n<b>CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2</b>\n<b>Total New Case Rate Metric:</b> \"New cases per 100,000 persons in the past 7 days\" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. \"New cases per 100,000 persons in the past 7 days\" is considered to have a transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00). \n \n<b>Test Percent Positivity Metric:</b> \"Percentage of positive NAAT in the past 7 days\" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests conducted",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/dt66-w6m6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC-INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "community transmission",
        "coronavirus",
        "case",
        "covid-19",
        "laboratory",
        "county",
        "ncird-corvd"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dt66-w6m6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dt66-w6m6",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dt66-w6m6/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dt66-w6m6",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/dt66-w6m6/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dt66-w6m6/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dt66-w6m6",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/dt66-w6m6/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly COVID-19 County Level of Community Transmission as Originally Posted - ARCHIVED - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/dt66-w6m6",
        "description": "Weekly COVID-19 County Level of Community Transmission as Originally Posted - ARCHIVED - Dataset Home",
        "issued": "2023-02-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-22",
          "endDate": "2023-05-10"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/dtm2-meqi",
      "identifier": "https://data.cdc.gov/api/views/dtm2-meqi",
      "title": "Provisional Drug Overdose Deaths by Urban/Rural Classification Scheme for 12 month-ending December 2018-December 2020",
      "description": "National provisional drug overdose deaths by month and 2013 NCHS Urban–Rural Classification Scheme for Counties. Drug overdose deaths are identified using underlying cause-of-death codes from the Tenth Revision of ICD (ICD–10): X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), and Y10–Y14 (undetermined). Deaths are based on the county of residence in the United States. Death counts provided are for “12-month ending periods,” defined as the number of deaths occurring in the 12-month period ending in the month indicated. Estimates for 2020 are based on provisional data. Estimates for 2018 and 2019 are based on final data.\n\nFor more information on NCHS urban-rural classification, see: https://www.cdc.gov/nchs/data/series/sr_02/sr02_166.pdf",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Provisional Drug Overdose Deaths by Urban/Rural Classification Scheme for 12 month-ending December 2018-December 2020",
          "description": "National provisional drug overdose deaths by month and 2013 NCHS Urban–Rural Classification Scheme for Counties. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/dtm2-meqi",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Provisional Drug Overdose Deaths by Urban/Rural Classification Scheme for 12 month-ending December 2018-December 2020",
        "accessURL": "https://www.cdc.gov/nchs/nvss/vsrr/provisional-drug-overdose.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data (2011 to present)",
      "description": "2011 to present. BRFSS combined land line and cell phone prevalence data. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/dttw-5yxu",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC UserSA",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "CDC UserSA"
      },
      "keyword": [
        "factor",
        "behavioral",
        "survey",
        "risk",
        "brfss"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dttw-5yxu/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dttw-5yxu",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dttw-5yxu/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dttw-5yxu",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/dttw-5yxu/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dttw-5yxu/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dttw-5yxu",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/dttw-5yxu/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dttw-5yxu/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dttw-5yxu",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dttw-5yxu/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dttw-5yxu",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dttw-5yxu/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dttw-5yxu",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data (2011 to present) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/dttw-5yxu",
        "description": "Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data (2011 to present) - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "CDC UserSA"
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Inhalation of polycarbonate emissions generated during 3D printing processes affects neuroendocrine function in male rats",
      "description": "Three-dimensional printing (3DP) of manufactured goods has increased in the last 10 yrs.  The increased use of this technology has resulted in questions about the health effects of inhaling emissions generated during printing.  The goal of this study was to determine if inhalation of particulate and toxic chemicals generated during printing with polycarbonate (PC) plastic affected the neuroendocrine system.  Male rats were exposed to 3D-printer emissions (500 µg/cm3) or filtered air for 1, 4, 8, 15 or 30d for 4d/week (4h/day).  The effects of these exposures on hormone concentrations, and markers of function, injury and/or oxidative stress in the olfactory bulb, hypothalamus and testes were measured after 1, 8 and 30d of exposure.  Thirty days of exposure to 3D-emissions resulted in reductions in  thyroid stimulating hormone, follicle stimulating hormone and prolactin.  These changes were accompanied by increases in markers of cell injury and reductions in active mitochondria in the olfactory bulb, gonadotropin releasing hormone cells and fibers and tyrosine hydroxylase immunolabeled fibers in the arcuate nucleus, and reductions in spermatogonium.  PC plastics contain high concentrations bisphenol A and these results are consistent with the hypothesis that the health effects of inhaling 3D-printer emissions may be due to bisphenol A.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/dtz3-sij3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Physical Effects Research Branch (PERB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/dtz3-sij3/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/dtz3-sij3",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Inhalation of polycarbonate emissions generated during 3D printing processes affects neuroendocrine function in male rats - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/dtz3-sij3",
        "description": "Inhalation of polycarbonate emissions generated during 3D printing processes affects neuroendocrine function in male rats - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, County Data 2022 release",
      "description": "This dataset contains model-based county-level estimates for the PLACES 2022 release. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2020 or 2019 county population estimate data, and American Community Survey 2016–2020 or 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/duw2-7jbt",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "health",
        "status",
        "county",
        "behaviors",
        "prevention",
        "brfss",
        "risk",
        "prevalence",
        "places",
        "outcomes"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-County-Data-20/swc5-untb"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/duw2-7jbt/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/duw2-7jbt",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/duw2-7jbt/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/duw2-7jbt",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/duw2-7jbt/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/duw2-7jbt/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/duw2-7jbt",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/duw2-7jbt/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/duw2-7jbt/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/duw2-7jbt",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/duw2-7jbt/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/duw2-7jbt",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/duw2-7jbt/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/duw2-7jbt",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Local Data for Better Health, County Data 2022 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/duw2-7jbt",
        "description": "PLACES: Local Data for Better Health, County Data 2022 release - Dataset Home",
        "issued": "2023-06-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, County Data 2020 release",
      "description": "This dataset contains model-based county-level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/dv4u-3x3q",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "behaviors",
        "prevention",
        "prevalence",
        "places",
        "unhealthy",
        "brfss",
        "county",
        "outcomes"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-County-Data-20/swc5-untb"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dv4u-3x3q/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dv4u-3x3q",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dv4u-3x3q/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dv4u-3x3q",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dv4u-3x3q/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dv4u-3x3q",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/dv4u-3x3q/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dv4u-3x3q/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dv4u-3x3q",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dv4u-3x3q/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dv4u-3x3q",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dv4u-3x3q/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dv4u-3x3q",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Local Data for Better Health, County Data 2020 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/dv4u-3x3q",
        "description": "PLACES: Local Data for Better Health, County Data 2020 release - Dataset Home",
        "issued": "2021-09-29",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable",
      "description": "NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a \"U\" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Before 2019, listeriosis cases in neonates less than or equal to 60 days of age were counted as one case in a mother-infant pair. Beginning in 2019, maternal and neonatal listeriosis cases are being counted separately. Beginning in 2020, confirmed and probable cases are published separately. Prior years included confirmed cases only.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/dwmy-m9r6",
      "contactPoint": [
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          "@type": "Kind",
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          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "wonder",
        "probable",
        "nndss",
        "nedss",
        "netss",
        "confirmed",
        "listeriosis",
        "2020",
        "leptospirosis"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/dwmy-m9r6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dwmy-m9r6",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
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          "accessURL": "https://data.cdc.gov/d/dwmy-m9r6",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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          "mediaType": "application/xml",
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          "mediaType": "application/geo+json",
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          "accessURL": "https://data.cdc.gov/d/dwmy-m9r6",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dwmy-m9r6/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dwmy-m9r6",
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          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/dwmy-m9r6",
        "description": "NNDSS - TABLE 1U. Leptospirosis to Listeriosis, Probable - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table I. infrequently reported notifiable diseases",
      "description": "NNDSS - Table I. infrequently reported notifiable diseases - 2016.  In this Table, provisional* cases of selected† infrequently reported notifiable diseases (<1,000 cases reported during the preceding year) are displayed.  \r\nNote:\r\n\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in these tables are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\n“Symbols and footnotes changed in week #4, please refer to the MMWR publication for the symbols/footnotes for weeks 1, 2, and 3”.\r\n\r\nFootnote:\r\n-: No reported cases    N: Not reportable    NA: Not available NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.\r\n* Case counts for reporting year 2016 are provisional and subject to change.  Data for years 2011 through 2015 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. \r\n† This table does not include cases from the U.S. territories. Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.  \r\n§ Calculated by summing the incidence counts for the current week, the 2 weeks preceding the current week, and the 2 weeks following the current week, for a total of 5 preceding years.  Additional information is available at http://wwwn.cdc.gov/nndss/document/5yearweeklyaverage.pdf. \r\n¶ Includes both neuroinvasive and nonneuroinvasive. Updated weekly reports from the Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases (ArboNET Surveillance). Data for West Nile virus are available in Table II. \r\n** Not reportable in all reporting jurisdictions. Data from states where the condition is not reportable are excluded from this table, except for the arboviral diseases and influenza-associated pediatric mortality. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.\r\n†† Office of Management and Budget approval of the NNDSS Revision #0920-0728 on January 21, 2016, authorized CDC to receive data for these conditions. CDC is in the process\r\nof soliciting data for these conditions (except Zika virus, congenital infection). CDC and the U.S. states are still modifying the technical infrastructure needed to collect and transmit data for Zika virus congenital infections.\r\n§§ Jamestown Canyon virus and Lacrosse virus have replaced California serogroup diseases.\r\n¶¶ Data for Haemophilus influenzae (all ages, all serotypes) are available in Table II.\r\n***  Please refer to the MMWR publication for weekly updates to the footnote for this condition.  \r\n††† Please refer to the MMWR publication for weekly updates to the footnote for this condition. \r\n§§§ Data for meningococcal disease (all serogroups) are available in Table II. \r\n¶¶¶ Please refer to the MMWR publication for weekly updates to the footnote for this condition. \r\n**** Updated weekly from reports to the Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention. \r\n†††† Please refer to the MMWR publication for weekly updates to the footnote for this condition. \r\n§§§§ All cases reported have occurred in travelers returning from affected areas, with their sexual contacts, or infants infected in ute",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/dwqk-w36f",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "chancroid",
        "yellow fever",
        "wonder",
        "western equine encephalitis virus disease",
        "viral hemorrhagic fever",
        "vancomycin",
        "typhoid fever",
        "tularemia",
        "trichinellosis",
        "toxic-shock syndrome (staphylococcal)",
        "syphilis congenital",
        "streptococcal toxic-shock syndrome",
        "st. louis encephalitis virus disease",
        "smallpox",
        "sars-cov",
        "2016",
        "anthrax",
        "arboviral diseases",
        "botulism",
        "brucellosis",
        "chikungunya virus disease",
        "cholera",
        "crimean-congo",
        "cyclosporiasis",
        "diphtheria",
        "eastern equine encephalitis virus disease",
        "ebola",
        "guanarito",
        "haemophilus influenzae invasive",
        "hansen disease",
        "hantavirus infection",
        "hantavirus pulmonary syndrome",
        "hemolytic uremic syndrome",
        "hepatitis b infection perinatal",
        "sabia-associated",
        "rabies human",
        "q fever",
        "psittacosis",
        "powassan virus disease",
        "postdiarrheal",
        "polio virus infection nonparalytic",
        "poliomyelitis paralytic",
        "plague",
        "influenza-associated pediatric mortality",
        "jamestown canyon virus",
        "junin",
        "la crosse virus",
        "lassa fever",
        "novel influenza a",
        "nndss",
        "netss",
        "nedss",
        "mmwr",
        "meningococcal disease invasive",
        "measles",
        "marburg fever",
        "machupo",
        "lujo virus",
        "listeriosis",
        "leptospirosis"
      ],
      "modified": "2026-09-10",
      "distribution": [
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        },
        {
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          "accessURL": "https://data.cdc.gov/d/dwqk-w36f",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/dwqk-w36f/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dwqk-w36f",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table I. infrequently reported notifiable diseases - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/dwqk-w36f",
        "description": "NNDSS - Table I. infrequently reported notifiable diseases - Dataset Home",
        "issued": "2017-01-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
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      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "500 Cities: City-level Data (GIS Friendly Format), 2019 release",
      "description": "2017, 2016. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. There are 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/dxpw-cm5u",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "500 Cities Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/r74h-6zta",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "prevalence",
        "cities",
        "census",
        "prevention",
        "500cities",
        "outcomes",
        "unhealthy",
        "gis",
        "behaviors",
        "tract"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/500-Cities/500-Cities-City-level-Data-GIS-Friendly-Format-201/dxpw-cm5u"
      },
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/dxpw-cm5u/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dxpw-cm5u",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/dxpw-cm5u/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dxpw-cm5u",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/dxpw-cm5u/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/dxpw-cm5u/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dxpw-cm5u",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/api/views/dxpw-cm5u/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "500 Cities: City-level Data (GIS Friendly Format), 2019 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/dxpw-cm5u",
        "description": "500 Cities: City-level Data (GIS Friendly Format), 2019 release - Dataset Home",
        "issued": "2017-12-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/r74h-6zta",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1KK. Vancomycin-resistant Staphylococcus aureus to Varicella morbidity",
      "description": "NNDSS - TABLE 1KK. Vancomycin-resistant Staphylococcus aureus to Varicella morbidity - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/dy4n-fbwg",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nndss",
        "netss",
        "nedss",
        "2019",
        "wonder",
        "varicella morbidity",
        "vancomycin-resistant staphylococcus aureus"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/dy4n-fbwg/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dy4n-fbwg",
          "mediaType": "text/csv",
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        },
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          "accessURL": "https://data.cdc.gov/d/dy4n-fbwg",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "accessURL": "https://data.cdc.gov/api/views/dy4n-fbwg/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/dy4n-fbwg/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dy4n-fbwg",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/api/views/dy4n-fbwg/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dy4n-fbwg/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dy4n-fbwg",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dy4n-fbwg/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dy4n-fbwg",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/dy4n-fbwg/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/dy4n-fbwg",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1KK. Vancomycin-resistant Staphylococcus aureus to Varicella morbidity - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/dy4n-fbwg",
        "description": "NNDSS - TABLE 1KK. Vancomycin-resistant Staphylococcus aureus to Varicella morbidity - Dataset Home",
        "issued": "2019-04-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Medicare Fee for Service (FFS) claims (100%) – Vision and Eye Health Surveillance",
      "description": "2014-2022. This dataset is a de-identified summary table of vision and eye health data indicators from Medicare claims, stratified by all available combinations of age group, race/ethnicity, sex, and state. Medicare claims for VEHSS includes beneficiaries who were fully enrolled in Medicare Part B Fee-for-Service (FFS) for the duration of the year. Medicare claims provide a convenience sample that includes approximately 30 million individuals annually, which represents nearly 89% of the US population aged 65 and older and 3.3% of the US population younger than 65, including persons disabled due to blindness. Medicare data for VEHSS include Service Utilization and Medical Diagnoses indicators. Data were suppressed for de-identification to ensure protection of patient privacy. Data will be updated as it becomes available. Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicare webpage (cdc.gov/visionhealth/vehss/data/claims/medicare.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicare dataset was last updated August 2025.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/e28h-tx85",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DDT Public Inquiries",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "eye exams",
        "medical diagnoses",
        "service utilization",
        "claims",
        "medicare",
        "treated prevalence"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/d/e28h-tx85"
      },
      "distribution": [
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          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/e28h-tx85",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/e28h-tx85/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/e28h-tx85",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/e28h-tx85/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/e28h-tx85/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/e28h-tx85",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/e28h-tx85/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/e28h-tx85/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/e28h-tx85",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/e28h-tx85/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/e28h-tx85",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/e28h-tx85/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/e28h-tx85",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Medicare Fee for Service (FFS) claims (100%) – Vision and Eye Health Surveillance - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/e28h-tx85",
        "description": "Medicare Fee for Service (FFS) claims (100%) – Vision and Eye Health Surveillance - Dataset Home",
        "issued": "2025-05-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Lyme disease public use line-listed data without geography, 1992-2007",
      "description": "Overview:\nPublic health surveillance data are collected and reported voluntarily to CDC by U.S. states and territories through the National Notifiable Diseases Surveillance System (NNDSS) (https://www.cdc.gov/nndss/index.html). Data include demographic, clinical, and geographic information; data do not include direct identifiers. Two types of datasets of human Lyme disease case data collected through public health surveillance are available: one includes annual case count aggregated by county of residence according to specific demographic variables and one is line-listed with patient demographic factors, month of illness onset, and clinical presentation information but without corresponding geographic information. These privacy-protected datasets were implemented in accordance with methodology described in Lee et al. Protecting Privacy and Transforming COVID-19 Case Surveillance Datasets for Public Use. Public Health Rep. 2021 Sep-Oct;136(5):554-561. doi: 10.1177/00333549211026817.\n\nLyme disease became nationally notifiable in 1991. Different surveillance case definitions have been in effect over time; details are available here: https://ndc.services.cdc.gov/conditions/lyme-disease/. In 2008, a probable case definition was included in public health surveillance for the first time. In 2022, states with a high incidence of Lyme disease started reporting cases based on laboratory evidence alone without requirement for a clinical investigation, precluding comparison with historical data (for more information: https://www.cdc.gov/mmwr/volumes/73/wr/mm7306a1.htm?s_cid=mm7306a1_w). As such, Lyme disease surveillance data are grouped into separate datasets based on when these major changes occurred; data are provided for download separately for 1992–2007, 2008–2021, and 2022 to current. Data will be updated annually upon final verification of Lyme disease surveillance data by health departments.\n\nData Limitations:\nSurveillance data have significant limitations that must be considered in the analysis, interpretation, and reporting of results.\n1. Under-reporting and misclassification are features common to all surveillance systems. Not every case of Lyme disease is reported to CDC, and some cases that are reported may be reflect illness due to another cause.\n2. Please note that before the 2022 surveillance case definition went into effect, several states with high Lyme disease incidence had initiated alternative methods of surveillance and those data were not reportable to CDC.\n3. Final case data are subject to each state’s abilities to capture and classify cases, which is dependent upon budget and personnel. This can vary not only between states, but also from year to year within a given state. Consequently, a sudden or marked change in reported cases does not necessarily represent a true change in disease incidence. Every effort should be made to construct analyses to limit overinterpretation of this variation (see the following reference for more context: Kugeler KJ, Eisen RJ. Challenges in Predicting Lyme Disease Risk. JAMA Netw Open. 2020 Mar 2;3(3):e200328. doi: 10.1001/jamanetworkopen.2020.0328.)",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/e2a5-s9pr",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Bacterial Diseases Branch Epidemiology & Surveillance Team",
          "hasEmail": "mailto:bdbepigroup@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/w6xk-sxm6",
        "@type": "Organization",
        "name": "xee5@cdc.gov"
      },
      "keyword": [
        "lyme disease",
        "surveillance"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/e2a5-s9pr/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/e2a5-s9pr",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/e2a5-s9pr/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/e2a5-s9pr",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/e2a5-s9pr/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/e2a5-s9pr/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/e2a5-s9pr",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/e2a5-s9pr/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Lyme disease public use line-listed data without geography, 1992-2007 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/e2a5-s9pr",
        "description": "Lyme disease public use line-listed data without geography, 1992-2007 - Dataset Home",
        "issued": "2025-08-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/w6xk-sxm6",
            "@type": "Organization",
            "name": "xee5@cdc.gov"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States of America"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/e2d5-ggg7",
      "identifier": "https://data.cdc.gov/api/views/e2d5-ggg7",
      "title": "VSRR Provisional Maternal Death Counts and Rates",
      "description": "This data presents national-level provisional maternal mortality rates based on a current flow of mortality and natality data in the National Vital Statistics System. Provisional rates which are an early estimate of the number of maternal deaths per 100,000 live births, are shown as of the date specified and may not include all deaths and births that occurred during a given time period (see Technical Notes).\n\nA maternal death is the death of a woman while pregnant or within 42 days of termination of pregnancy irrespective of the duration and the site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management, but not from accidental or incidental causes. In this data visualization, maternal deaths are those deaths with an underlying cause of death assigned to International Statistical Classification of Diseases, 10th Revision (ICD-10) code numbers A34, O00–O95, and O98–O99.\n\nThe provisional data  include reported 12 month-ending provisional maternal mortality rates overall, by age, and by race and Hispanic origin. Provisional maternal mortality rates presented in this data visualization are for “12-month ending periods,” defined as the number of maternal deaths per 100,000 live births occurring in the 12-month period ending in the month indicated. For example, the 12-month ending period in June 2020 would include deaths and births occurring from July 1, 2019, through June 30, 2020. Evaluation of trends over time should compare estimates from year to year (June 2020 and June 2021), rather than month to month, to avoid overlapping time periods. In the visualization and in the accompanying data file, rates based on death counts less than 20 are suppressed in accordance with current NCHS standards of reliability for rates. Death counts between 1-9 in the data file are suppressed in accordance with National Center for Health Statistics (NCHS) confidentiality standards.\n\nProvisional data presented on this page will be updated on a quarterly basis as additional records are received. Previously released estimates are revised to include data and record updates received since the previous release. As a result, the reliability of estimates for a 12-month period ending with a specific month will improve with each quarterly release and estimates for previous time periods may change as new data and updates are received.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "VSRR Provisional Maternal Death Counts and Rates",
          "description": "This data presents national-level provisional maternal mortality rates based on a current flow of mortality and natality data in the National Vital Statistics System. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/e2d5-ggg7",
          "modified": "2026-07-16"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-16",
      "landingPage": {
        "@type": "Document",
        "title": "VSRR Provisional Maternal Death Counts and Rates",
        "accessURL": "https://www.cdc.gov/nchs/nvss/vsrr/provisional-maternal-deaths.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/e4ec-z5aa",
      "identifier": "https://data.cdc.gov/api/views/e4ec-z5aa",
      "title": "DQS Estimate of Emergency Department Visits in the United States, 2016-2022",
      "description": "These data include counts and rates of emergency department visits from 2016-2022 for selected primary diagnoses and reasons for visit, stratified by selected patient and hospital characteristics.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Estimate of Emergency Department Visits in the United States, 2016-2022",
          "description": "These data include counts and rates of emergency department visits from 2016-2022 for selected primary diagnoses and reasons for visit, stratified by selected patient and hospital characteristics. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/e4ec-z5aa",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Estimate of Emergency Department Visits in the United States, 2016-2022",
        "accessURL": "https://www.cdc.gov/nchs/ahcd/datasets_documentation_related.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Non-Medical Factor Measures for Census Tract, ACS 2017-2021",
      "description": "This dataset contains census tract-level non-medical factor measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/e539-uadk",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "estimates",
        "acs",
        "tract",
        "places",
        "non-medical factor"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/e539-uadk/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/e539-uadk",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/e539-uadk/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/e539-uadk",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/e539-uadk/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/e539-uadk/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/e539-uadk",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/e539-uadk/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/e539-uadk/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/e539-uadk",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/e539-uadk/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/e539-uadk",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/e539-uadk/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/e539-uadk",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Non-Medical Factor Measures for Census Tract, ACS 2017-2021 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/e539-uadk",
        "description": "Non-Medical Factor Measures for Census Tract, ACS 2017-2021 - Dataset Home",
        "issued": "2023-10-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Influenza Vaccine Doses Distributed in the United States",
      "description": "Weekly Cumulative Influenza Vaccine Doses Distributed in the United States, 2016-2021\n\n• Flu vaccine is produced by private manufacturers. For the 2020-2021 season, manufacturers have projected they will provide as many as 194 to 198 million doses of influenza vaccine for the U.S. market.\n• Additional information is available: https://www.cdc.gov/flu/prevent/vaccine-supply-distribution.htm.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/e5zk-7tx5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vax Views",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "flu vaccination",
        "flu",
        "influenza"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/e5zk-7tx5/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/e5zk-7tx5",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/e5zk-7tx5/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/e5zk-7tx5",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        },
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      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Influenza Vaccine Doses Distributed in the United States - Dataset Home",
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      "@type": "Dataset",
      "title": "Diabetes State Burden Toolkit - Diabetes Mortality and Health-related Quality of Life",
      "description": "This section of the Burden Toolkit reports estimated diabetes mortality statistics in your state for people aged 15 years or older. This data consists of the number of deaths, rate of deaths per 100,000 people, years of potential life lost, and quality-adjusted life years.\n\nData sources: Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS). Multiple Cause of Death 2021 from CDC WONDER Online Database. Multiple Cause of Death 1999-2013 from CDC WONDER Online Database. 2013 United States Renal Data System (USRDS). 2013-2017 National Health Interview Survey (NHIS), 2021 Behavioral Risk Factor Surveillance System (BRFSS). For detail, see the Technical Report: https://www.cdc.gov/diabetes/burden-toolkit/docs/technical_documentation.pdf",
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        "end-stage renal disease (esrd) deaths",
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      "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 1 - Boston",
      "description": "Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.",
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        "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 1 - Boston - Dataset Home",
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      "@id": "https://data.cdc.gov/api/views/e8kx-wbww",
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      "title": "NCHS - Teen Birth Rates for Females by Age Group, Race, and Hispanic Origin: United States",
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          "@type": "dcat:Distribution",
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          "modified": "2025-04-21"
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      ],
      "rights": [
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      "modified": "2025-04-21",
      "landingPage": {
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        "title": "NCHS - Teen Birth Rates for Females by Age Group, Race, and Hispanic Origin: United States",
        "accessURL": "https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Going Smokefree Matters - Bars and Restaurants Infographic",
      "description": "Explore the Going Smokefree Matters – Bars and Restaurants Infographic which outlines key facts related to the effects of secondhand smoke exposure in bars and restaurants.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/e92c-t3mi",
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          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
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        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
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        "smokefree",
        "state system",
        "restaurants",
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      "modified": "2026-09-22",
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          "downloadURL": "https://data.cdc.gov/download/e92c-t3mi/application/pdf",
          "accessURL": "https://data.cdc.gov/d/e92c-t3mi",
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          "modified": "2026-09-22"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Going Smokefree Matters - Bars and Restaurants Infographic - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/e92c-t3mi",
        "description": "Going Smokefree Matters - Bars and Restaurants Infographic - Dataset Home",
        "issued": "2016-03-01",
        "publisher": [
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
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      },
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "New Chikungunya Cases Reported in the Americas",
      "description": "Derived from Pan American Health Organization reports: http://www.paho.org/hq/index.php?option=com_topics&view=article&id=343&Itemid=40931",
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
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      ],
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        "@type": "Organization",
        "name": "Michael"
      },
      "keyword": [
        "paho",
        "chikungunya",
        "americas"
      ],
      "modified": "2026-09-09",
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        "accessURL": "https://data.cdc.gov/d/e9r5-5hjr",
        "description": "New Chikungunya Cases Reported in the Americas - Dataset Home",
        "issued": "2015-08-10",
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            "@type": "Organization",
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      "accessRights": "public",
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    },
    {
      "@type": "Dataset",
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        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
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        "centers for disease control and prevention"
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          "accessURL": "https://data.cdc.gov/d/ea3z-m7eh",
          "mediaType": "text/csv",
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          "mediaType": "application/json",
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          "accessURL": "https://data.cdc.gov/d/ea3z-m7eh",
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          "modified": "2026-09-10"
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        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ea3z-m7eh/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ea3z-m7eh",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 7 - Kansas City - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ea3z-m7eh",
        "description": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 7 - Kansas City - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
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        "009:00"
      ],
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        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative COVID-19 Vaccination Coverage Map and Comparison Between 2025–26 and Previous Seasons, Overall, by Jurisdiction Among Adults 18 Years",
      "description": "• Weekly COVID-19 Vaccination Coverage of Adults 18 Years and Older by Jurisdiction  \n\n• Weekly estimates of COVID-19 vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Surveys (NIS)-Fall Respiratory Virus Module (NIS-FRVM) (https://www.cdc.gov/nis/about/index.html). \n\n• The NIS–FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. All estimates are based upon self-reported receipt of vaccination and month of that vaccination. \n\n• Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 and 2025–26 COVID-19 vaccines were first available at the end of August 2024 and 2025, respectively. ",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/eanj-9nie",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "iis-adult",
        "nis-child",
        "nis-acm",
        "iqvia",
        "covid-19 vaccination",
        "iis-child",
        "vsd",
        "cms"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/eanj-9nie",
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          "accessURL": "https://data.cdc.gov/d/eanj-9nie",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "@type": "Standard",
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            "title": "Columns for this asset"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative COVID-19 Vaccination Coverage Map and Comparison Between 2025–26 and Previous Seasons, Overall, by Jurisdiction Among Adults 18 Years - Dataset Home",
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        "description": "Weekly Cumulative COVID-19 Vaccination Coverage Map and Comparison Between 2025–26 and Previous Seasons, Overall, by Jurisdiction Among Adults 18 Years - Dataset Home",
        "issued": "2025-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, Place Data, 2025 release",
      "description": "This dataset contains model-based place (incorporated and census-designated places) estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey 2019-2023 or 2018–2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/eav7-hnsx",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "social needs",
        "city",
        "brfss",
        "behaviors",
        "disability",
        "health",
        "risk",
        "outcomes",
        "place",
        "places",
        "prevention",
        "prevalence",
        "status"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-Place-Data-202/eav7-hnsx"
      },
      "distribution": [
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          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/eav7-hnsx",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
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          "accessURL": "https://data.cdc.gov/d/eav7-hnsx",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/eav7-hnsx/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eav7-hnsx",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/eav7-hnsx/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eav7-hnsx",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/eav7-hnsx/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eav7-hnsx",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/eav7-hnsx/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eav7-hnsx",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Local Data for Better Health, Place Data, 2025 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/eav7-hnsx",
        "description": "PLACES: Local Data for Better Health, Place Data, 2025 release - Dataset Home",
        "issued": "2024-08-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC STATE System Tobacco Legislation - Licensure",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Licensure. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to requirements, restrictions and penalties associated with holding a retail license to sell tobacco products over-the-counter and through vending machines.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/eb4y-d4ic",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "policy",
        "state system",
        "tobacco",
        "legislation",
        "licensure",
        "osh"
      ],
      "modified": "2026-09-23",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Licensure/eb4y-d4ic"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/eb4y-d4ic/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eb4y-d4ic",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/eb4y-d4ic/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eb4y-d4ic",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/eb4y-d4ic/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/eb4y-d4ic/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eb4y-d4ic",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/eb4y-d4ic/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/eb4y-d4ic/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eb4y-d4ic",
          "mediaType": "application/geo+json",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/eb4y-d4ic/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eb4y-d4ic",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/eb4y-d4ic/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eb4y-d4ic",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC STATE System Tobacco Legislation - Licensure - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/eb4y-d4ic",
        "description": "CDC STATE System Tobacco Legislation - Licensure - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, All States",
      "description": "Rate of deaths by age/sex (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012. 2012 Source: Fatality Analysis Reporting System (FARS)Note: Blank cells indicate data are suppressed. 2014 Source: Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Fatality rates based on fewer than 20 deaths are suppressed.\n\nUpdated on April 28, 2025, to comply with the President’s Executive Order 14168.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ebbj-sh54",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "centers for disease control and prevention",
        "cdc"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ebbj-sh54/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ebbj-sh54",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ebbj-sh54/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ebbj-sh54",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/ebbj-sh54/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ebbj-sh54/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ebbj-sh54",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/ebbj-sh54/columns.xml",
            "title": "Columns for this asset"
          }
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ebbj-sh54/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ebbj-sh54",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ebbj-sh54/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ebbj-sh54",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ebbj-sh54/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ebbj-sh54",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, All States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ebbj-sh54",
        "description": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, All States - Dataset Home",
        "issued": "2016-09-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "The β-adrenergic receptor blocker and anti-inflammatory drug propranolol mitigates brain cytokine expression in a long-term model of Gulf War Illness",
      "description": "Growing evidence suggests that Gulf War Illness (GWI) is the result of underlying neuroimmune dysfunction.  For example, previously we found that several Gulf War-relevant organophosphate, acetylcholinesterase inhibitors produce heightened neuroinflammatory responses following a sub chronic stressor exposure.  The goal of the study was to evaluate the potential for the β-adrenergic receptor inhibitor and anti-inflammatory drug, propranolol, to treat neuroinflammation in a novel long-term mouse model of GWI. We established that our long-term GWI model produces enhanced and prolonged neuroinflammation that is dependent upon Gulf War-relevant organophosphate exposure. Propranolol treatment abrogated the neuroinflammation instigated in our model specifically, having no treatment effects in non-DFP exposed groups. Our results indicate that propranolol may be a promising therapy for GWI by treating the underlying neuroinflammation associated with Gulf War-relevant physiological stress and organophosphate exposures.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/eddk-effy",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Toxicology and Molecular Biology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/eddk-effy/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/eddk-effy",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The β-adrenergic receptor blocker and anti-inflammatory drug propranolol mitigates brain cytokine expression in a long-term model of Gulf War Illness - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/eddk-effy",
        "description": "The β-adrenergic receptor blocker and anti-inflammatory drug propranolol mitigates brain cytokine expression in a long-term model of Gulf War Illness - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Non-Medical Factor Measures for Place, ACS 2017-2021",
      "description": "This dataset contains place-level (incorporated and census-designated places) non-medical factor measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/edkk-ze78",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "estimates",
        "acs",
        "places",
        "place",
        "non-medical factor"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/edkk-ze78/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/edkk-ze78",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/edkk-ze78/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/edkk-ze78",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
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        },
        {
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          "accessURL": "https://data.cdc.gov/d/edkk-ze78",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/edkk-ze78/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/edkk-ze78",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/edkk-ze78/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/edkk-ze78",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/edkk-ze78/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/edkk-ze78",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Non-Medical Factor Measures for Place, ACS 2017-2021 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/edkk-ze78",
        "description": "Non-Medical Factor Measures for Place, ACS 2017-2021 - Dataset Home",
        "issued": "2023-10-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
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        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Ehrlichiosis/Anaplasmosis",
      "description": "NNDSS - Table II. Ehrlichiosis/Anaplasmosis - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Please refer to the MMWR publication for weekly updates to the footnote for this condition.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/edtz-vibe",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nndss",
        "wonder",
        "week",
        "undetermined",
        "netss",
        "nedss",
        "mmwr",
        "ehrlichiosis/anaplasmosis",
        "ehrlichia chaffeensis",
        "anaplasma phagocytophilum",
        "2014"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/edtz-vibe/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/edtz-vibe",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/edtz-vibe/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/edtz-vibe",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/edtz-vibe/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/edtz-vibe",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Ehrlichiosis/Anaplasmosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/edtz-vibe",
        "description": "NNDSS - Table II. Ehrlichiosis/Anaplasmosis - Dataset Home",
        "issued": "2015-01-08",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Vaccination Coverage among Adolescents (13-17 Years)",
      "description": "Vaccination Coverage among Adolescents (13-17 Years)\n\n• Data on adolescent vaccination coverage and selected sociodemographic characteristics by State, HHS Region, and the United States from the National Immunization Survey-Teen (NIS-Teen).\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/teenvaxview/index.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ee48-w5t6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "NCIRD"
      },
      "keyword": [
        "menacwy",
        "vaxviews",
        "mmr",
        "vaccination coverage",
        "vaccination",
        "teen vaccination",
        "tdap",
        "td",
        "sociodemographic data",
        "immunization",
        "hpv",
        "hepb",
        "adolescent vaccination"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ee48-w5t6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ee48-w5t6",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ee48-w5t6/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ee48-w5t6",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ee48-w5t6/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ee48-w5t6/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ee48-w5t6",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ee48-w5t6/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Vaccination Coverage among Adolescents (13-17 Years) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ee48-w5t6",
        "description": "Vaccination Coverage among Adolescents (13-17 Years) - Dataset Home",
        "issued": "2021-07-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "NCIRD"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "National Immunization Survey Fall Respiratory Virus Module (NIS-FRVM): RespVaxView| Data | Centers for Disease Control and Prevention (cdc.gov)",
      "description": "• National Immunization Survey Fall Respiratory Virus Module (NIS-FRVM): CDC is providing information on the updated 2025-26 COVID-19 vaccine, the 2025-26 seasonal flu vaccine, and the RSV vaccine uptake and confidence. These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.\n\n• The data start in October 2025.\n\n• The archived data can be found here:\n- 2024-25 season: https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/si7g-c2bs/about_data \n- 2023-24 season: https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/uc4z-hbsd/about_data\n- Before October 2023:\nhttps://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/udsf-9v7b/about_data",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ee83-ukst",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "vaccination coverage",
        "vaccination",
        "vaccine confidence",
        "rsv vaccination",
        "nis-acm",
        "flu vaccination",
        "covid-19 vaccination"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ee83-ukst/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ee83-ukst",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ee83-ukst/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ee83-ukst",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ee83-ukst/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ee83-ukst/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ee83-ukst",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ee83-ukst/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Immunization Survey Fall Respiratory Virus Module (NIS-FRVM): RespVaxView| Data | Centers for Disease Control and Prevention (cdc.gov) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ee83-ukst",
        "description": "National Immunization Survey Fall Respiratory Virus Module (NIS-FRVM): RespVaxView| Data | Centers for Disease Control and Prevention (cdc.gov) - Dataset Home",
        "issued": "2025-12-31",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1B. Arboviral diseases, Jamestown Canyon to Powassan",
      "description": "NNDSS - Table 1B. Arboviral diseases, neuroinvasive and non-neuroinvasive, Jamestown Canyon virus disease to Powassan virus disease - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/eez9-q5m5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "wonder",
        "2019",
        "arboviral diseases",
        "jamestown canyon virus disease",
        "la crosse virus disease",
        "nedss",
        "netss",
        "nndss",
        "powassan virus disease"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/eez9-q5m5/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eez9-q5m5",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/eez9-q5m5/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eez9-q5m5",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/eez9-q5m5/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/eez9-q5m5/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eez9-q5m5",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/eez9-q5m5/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table 1B. Arboviral diseases, Jamestown Canyon to Powassan - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/eez9-q5m5",
        "description": "NNDSS - Table 1B. Arboviral diseases, Jamestown Canyon to Powassan - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Interleukin-11 Receptor Subunit Alpha-1 is Required for Maximal Airway Responsiveness to Methacholine After Acute Exposure to Ozone",
      "description": "Interleukin (IL)-11, a pleiotropic, cationic cytokine, contributes to numerous biological processes, including adipogenesis, hematopoiesis, and inflammation.  Asthma, a chronic respiratory disease, is notably characterized by reversible airway obstruction, persistent lung inflammation, and airway hyperresponsiveness (AHR).  Nasal insufflation of IL-11 causes AHR in wild-type mice while lung inflammation induced by antigen sensitization and challenge, which mimics features of atopic asthma in humans, is attenuated in mice genetically deficient in IL-11 receptor subunit alpha-1 (IL-11Rα1-deficient mice), a transmembrane receptor that is required along with glycoprotein 130 to transduce IL-11 intracellular signaling.  Nevertheless, the contribution of IL-11Rα1 to the manifestation of phenotypic features of non-atopic asthma are not presently known. Thus, based on the aforementioned observations, we hypothesized that genetic deficiency of IL-11Rα1 would attenuate lung inflammation and increases in airway responsiveness following acute inhalation exposure to ozone, a criteria pollutant and non-atopic asthma stimulus.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ef89-9ik2",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Pathology and Physiology Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/ef89-9ik2/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/ef89-9ik2",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Interleukin-11 Receptor Subunit Alpha-1 is Required for Maximal Airway Responsiveness to Methacholine After Acute Exposure to Ozone - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ef89-9ik2",
        "description": "Interleukin-11 Receptor Subunit Alpha-1 is Required for Maximal Airway Responsiveness to Methacholine After Acute Exposure to Ozone - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1JJ. Tuberculosis to Tularemia",
      "description": "NNDSS - TABLE 1JJ. Tuberculosis to Tularemia – 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Tuberculosis data for weeks 4-31 are incorrect for New York City; the Middle Atlantic region total; U.S. Residents, excluding U.S. Territories total; and the grand total, due to data processing issues. \nNotice: Tuberculosis data for weeks 32-33 are incorrect for the U.S. Residents, excluding U.S. Territories total and the grand total, due to data processing issues. \n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/efb8-zbb7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nedss",
        "2020",
        "tuberculosis",
        "wonder",
        "nndss",
        "netss",
        "tularemia"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/efb8-zbb7/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/efb8-zbb7",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/efb8-zbb7/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/efb8-zbb7",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/efb8-zbb7/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/efb8-zbb7/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/efb8-zbb7",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/efb8-zbb7/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/efb8-zbb7/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/efb8-zbb7",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/efb8-zbb7/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/efb8-zbb7",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/efb8-zbb7/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/efb8-zbb7",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1JJ. Tuberculosis to Tularemia - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/efb8-zbb7",
        "description": "NNDSS - TABLE 1JJ. Tuberculosis to Tularemia - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Spotted fever rickettsiosis to Syphilis, primary and secondary",
      "description": "NNDSS - Table II. Spotted fever rickettsiosis to Syphilis, primary and secondary - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\r\n \r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum.\r\n \r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/efpc-rr7b",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "primary and secondary",
        "spotted fever rickettsiosis",
        "syphilis",
        "wonder",
        "nedss",
        "2018",
        "netss",
        "nndss"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/efpc-rr7b/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/efpc-rr7b",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/efpc-rr7b/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/efpc-rr7b",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/efpc-rr7b/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/efpc-rr7b/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/efpc-rr7b",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/efpc-rr7b/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Spotted fever rickettsiosis to Syphilis, primary and secondary - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/efpc-rr7b",
        "description": "NNDSS - Table II. Spotted fever rickettsiosis to Syphilis, primary and secondary - Dataset Home",
        "issued": "2019-01-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly COVID-19 Vaccination Coverage among Pregnant Women by Race and Ethnicity",
      "description": "Weekly COVID-19 Vaccination Coverage, Pregnant Women 18-49 Years Old\n\n• COVID-19 vaccination coverage among pregnant women is assessed through the Vaccine Safety Datalink* \n\n• Data on updated 2023-24 COVID-19 vaccinations among pregnant women was available starting September 23, 2023, and includes doses received starting September 14, 2023.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/efqg-e273",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "vsd",
        "adult",
        "covid-19 vaccination",
        "pregnancy"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/efqg-e273/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/efqg-e273",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/efqg-e273/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/efqg-e273",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/efqg-e273/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/efqg-e273/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/efqg-e273",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/efqg-e273/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly COVID-19 Vaccination Coverage among Pregnant Women by Race and Ethnicity - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/efqg-e273",
        "description": "Weekly COVID-19 Vaccination Coverage among Pregnant Women by Race and Ethnicity - Dataset Home",
        "issued": "2023-11-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Applied force alters sensorineural and peripheral vascular function in an animal model of hand-arm vibration syndrome",
      "description": "Working with vibrating hand tools is associated with the development of hand-arm vibration syndrome (HAVS).  HAVS is characterized by cold-induced vasospasms, finger blanching and changes in sensory function.  Vibration plays a major role in the development of the symptoms that are characteristic of HAVS, however, the hands and fingers of worker using tools are also exposed to pressure applied as the workers grip tools.  The pressure applied by gripping a tool might also affect blood flow and sensorineural function.  Therefore, this study examined the effects of applied pressure [2 and 4 newtons (N)] on peripheral vascular and sensorineural function using a characterized rat tail model.  The tails of rats were exposed to 0, 2 or 4N of applied force for 10 days.  Blood flow (laser doppler) and sensitivity of the tail to pressure (Randall-Selitto pressure test) was measured on days 1, 5 and 10 of the exposure.  The sensitivity of the tail nerves to electrical stimulation was measured on days 2 and 9.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/eg2p-49pd",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Physical Effects Research Branch (PERB), National Institute for Occupational Safety and Health (NIOSH) Health Effects Laboratory Division (HELD),",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/eg2p-49pd/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/eg2p-49pd",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Applied force alters sensorineural and peripheral vascular function in an animal model of hand-arm vibration syndrome - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/eg2p-49pd",
        "description": "Applied force alters sensorineural and peripheral vascular function in an animal model of hand-arm vibration syndrome - Dataset Home",
        "issued": "2024-11-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Archive: COVID-19 LTC Program Vaccinations and Trends in the United States, Jurisdiction",
      "description": "The Federal Pharmacy Partnership for Long-Term Care (LTC) Program was a partnership between CDC and CVS, Walgreens, and Managed Health Care Associates, Inc. The program offered on-site COVID-19 vaccination services for residents of nursing homes and assisted living facilities. The Federal Pharmacy Partnership for LTC Program was in effect after vaccines became available to April 23, 2021. This is the historical archived data related to the LTC Program and represents data that was shown on COVID Data Tracker through September 30, 2021. Twelve variables that provided data on residents and staff vaccinated through the program were removed from the COVID-19 Vaccinations in the United States,Jurisdiction dataset. LTC was removed as an option from the location variable in the following datasets: COVID-19 Vaccinations in the United States,Jurisdiction and COVID-19 Vaccination Trends in the United States,National and Jurisdictional.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/egm8-9wq7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/3suw-ciyu",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "immunization",
        "izdl",
        "report date",
        "vaccination",
        "administration",
        "coronavirus",
        "covid-19"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/egm8-9wq7/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/egm8-9wq7",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/egm8-9wq7/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/egm8-9wq7",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/egm8-9wq7/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/egm8-9wq7/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/egm8-9wq7",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/egm8-9wq7/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Archive: COVID-19 LTC Program Vaccinations and Trends in the United States, Jurisdiction - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/egm8-9wq7",
        "description": "Archive: COVID-19 LTC Program Vaccinations and Trends in the United States, Jurisdiction - Dataset Home",
        "issued": "2021-10-06",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/3suw-ciyu",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1U. Legionellosis to Listeriosis",
      "description": "NNDSS - TABLE 1U. Legionellosis to Listeriosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ehf4-c7tw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "listeriosis",
        "nedss",
        "leptospirosis",
        "legionellosis",
        "2019",
        "netss",
        "nndss",
        "wonder"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ehf4-c7tw/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ehf4-c7tw",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ehf4-c7tw/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ehf4-c7tw",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ehf4-c7tw/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ehf4-c7tw/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ehf4-c7tw",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1U. Legionellosis to Listeriosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ehf4-c7tw",
        "description": "NNDSS - TABLE 1U. Legionellosis to Listeriosis - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
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      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table IV. Tuberculosis",
      "description": "NNDSS - Table IV. Tuberculosis - 2015.This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States will exclude counts from US territories.  Footnote:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Min: Minimum.    Max: Maximum. * Case counts for reporting year 2014 and 2015 are provisional through the end of the quarter,  January 2, 2016. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf Data for TB are displayed quarterly.",
      "accessLevel": "public",
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      "contactPoint": [
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          "fn": "CDC INFO",
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        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nndss",
        "netss",
        "nedss",
        "wonder",
        "tuberculosis",
        "tb",
        "2015",
        "mmwr"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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          "accessURL": "https://data.cdc.gov/d/ei7y-3g6s",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ei7y-3g6s/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ei7y-3g6s",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table IV. Tuberculosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ei7y-3g6s",
        "description": "NNDSS - Table IV. Tuberculosis - Dataset Home",
        "issued": "2016-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
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        ]
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      "bureauCode": [
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      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype",
      "description": "NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice:  In Table 1n of the 2021 NNDSS weekly tables for week 1 only, data for Haemophilus influenzae in children < 5years categorized as \"non-b serotype\" and \"unknown serotype\" were updated on 02/26/2021 to correct the data associated with these two serotype categories. The original version of the tables incorrectly displayed data for \"non-b serotype\" in the \"unknown serotype\" column and incorrectly displayed data for \"unknown serotype\" in the \"non-b serotype\" column. The data are corrected now.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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      "identifier": "https://data.cdc.gov/api/views/ekcb-r85s",
      "contactPoint": [
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          "@type": "Kind",
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          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "non-b serotype",
        "age <5 years",
        "haemophilus influenzae",
        "nndss",
        "netss",
        "nontypeable",
        "unknown serotype",
        "wonder",
        "nedss",
        "invasive disease",
        "2021"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ekcb-r85s/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ekcb-r85s",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/ekcb-r85s",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ekcb-r85s/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ekcb-r85s/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ekcb-r85s",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ekcb-r85s/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ekcb-r85s",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ekcb-r85s/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ekcb-r85s",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ekcb-r85s/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ekcb-r85s",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ekcb-r85s",
        "description": "NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype - Dataset Home",
        "issued": "2021-02-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis",
      "description": "NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Illnesses with similar clinical presentation that result from Spotted fever group rickettsia infections are reported as Spotted fever rickettsioses. Rocky Mountain spotted fever (RMSF) caused by Rickettsia rickettsii, is the most common and well-known spotted fever.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ekd3-qu3w",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nndss",
        "mmwr",
        "wonder",
        "2015",
        "syphilis primary and secondary",
        "spotted fever rickettsiosis",
        "nedss",
        "netss",
        "rmsf"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ekd3-qu3w/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ekd3-qu3w",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ekd3-qu3w/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ekd3-qu3w",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ekd3-qu3w/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ekd3-qu3w/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ekd3-qu3w",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ekd3-qu3w/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ekd3-qu3w",
        "description": "NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - Dataset Home",
        "issued": "2016-01-07",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, Census Tract Data 2023 release",
      "description": "This dataset contains model-based census tract estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for seven measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/em5e-5hvn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "brfss",
        "behaviors",
        "census tract",
        "disability",
        "health",
        "outcomes",
        "places",
        "prevalence",
        "prevention",
        "risk",
        "status"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-Census-Tract-D/cwsq-ngmh"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/em5e-5hvn/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/em5e-5hvn",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/em5e-5hvn/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/em5e-5hvn",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/em5e-5hvn/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/em5e-5hvn/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/em5e-5hvn",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/em5e-5hvn/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/em5e-5hvn/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/em5e-5hvn",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/em5e-5hvn/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/em5e-5hvn",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/em5e-5hvn/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/em5e-5hvn",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Local Data for Better Health, Census Tract Data 2023 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/em5e-5hvn",
        "description": "PLACES: Local Data for Better Health, Census Tract Data 2023 release - Dataset Home",
        "issued": "2024-07-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Active Bacterial Core surveillance (ABCs) Streptococcus pneumoniae",
      "description": "ABCs is an ongoing surveillance program that began in 1997. <a href=\"https://www.cdc.gov/abcs/reports/index.html\">ABCs reports</a> describe the ABCs case definition and the specific methodology used to calculate rates and estimated numbers in the United States for each bacterium by year.  The methods, <a href=\"https://www.cdc.gov/abcs/about/surv-areas-and-populations.html\">surveillance areas</a>, and <a href=\"https://www.cdc.gov/abcs/about/surv-areas-and-populations.html#Surveillance%20population%20and%20isolate%20collection\">laboratory isolate collection areas</a> have changed over time.\n                Additionally, the way missing data are taken into account changed in 2010.  It went from distributing unknown values based on known values of cases by site to use of multiple imputation using a sequential regression imputation method.\n                Given these changes over time, trends should be interpreted with caution.\n<ul>  <li> <a href=\"https://www.cdc.gov/abcs/methodology/index.html\">Methodology</a>\n                Find details about surveillance population, case determination, surveillance evaluation, and more.  </li>                    <li> <a href=\"https://www.cdc.gov/abcs/reports/index.html\">Reports and Findings</a>  \n                 Get official interpretations from reports and publications created from ABCs data.        </li> </ul>",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/en3s-hzsr",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Active Bacterial Core surveillance",
          "hasEmail": "mailto:abcs@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/wnru-jmaq",
        "@type": "Organization",
        "name": "Active Bacterial Core Surveillance"
      },
      "keyword": [
        "bactfacts",
        "abcs"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/en3s-hzsr/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/en3s-hzsr",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/en3s-hzsr/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/en3s-hzsr",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Active Bacterial Core surveillance (ABCs) Streptococcus pneumoniae - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/en3s-hzsr",
        "description": "Active Bacterial Core surveillance (ABCs) Streptococcus pneumoniae - Dataset Home",
        "issued": "2021-06-23",
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            "@id": "https://data.cdc.gov/user/wnru-jmaq",
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            "name": "Active Bacterial Core Surveillance"
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        "009:020"
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Palmer Drought Severity Index, 1895-2016",
      "description": "This dataset provides data at the county level for the contiguous United States. It includes monthly Palmer Drought Severity Index (PDSI) data from 1895-2016 provided by the Cooperative Institute for Climate and Satellites - North Carolina. Please refer to the metadata attachment for more information.\r\n\r\nLearn more about drought on the Tracking Network's website: https://ephtracking.cdc.gov/showDroughtLanding.\r\n\r\nBy using these data, you signify your agreement to comply with the following requirements: \r\n1.\tUse the data for statistical reporting and analysis only. \r\n2.\tDo not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \r\n3.\tDo not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \r\n4.\tDo not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \r\n5.\tAcknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \r\n6.\tSuggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. \r\n\r\nProblems or Questions? \r\nEmail trackingsupport@cdc.gov.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/en5r-5ds4",
      "contactPoint": [
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        "@id": "https://data.cdc.gov/user/985s-3b5v",
        "@type": "Organization",
        "name": "ynz9"
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      "keyword": [
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        "environmental health"
      ],
      "modified": "2026-09-10",
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          "modified": "2026-09-10",
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          }
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          "accessURL": "https://data.cdc.gov/d/en5r-5ds4",
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          "modified": "2026-09-10",
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      ],
      "landingPage": {
        "@type": "Document",
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        "accessURL": "https://data.cdc.gov/d/en5r-5ds4",
        "description": "Palmer Drought Severity Index, 1895-2016 - Dataset Home",
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      "programCode": [
        "009:032"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Tuberculosis Epidemiologic Studies Consortium (TBESC)-II Part B: Strengthening Public Health Surveillance for Latent Tuberculosis Infection",
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      "identifier": "https://data.cdc.gov/api/views/epap-ayij",
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        "name": "CDC"
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        "care cascade",
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        "latent tuberculosis infection (ltbi)",
        "tuberculosis (tb)"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/download/epap-ayij/application/x-zip-compressed",
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          "mediaType": "application/x-zip-compressed",
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      "landingPage": {
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        "description": "Tuberculosis Epidemiologic Studies Consortium (TBESC)-II Part B: Strengthening Public Health Surveillance for Latent Tuberculosis Infection - Dataset Home",
        "issued": "2024-10-16",
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            "@id": "https://data.cdc.gov/user/iy9y-shxt",
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            "name": "CDC"
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        ]
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      "license": "https://www.usa.gov/government-works",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
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      ],
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        "behaviors",
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        "@type": "Distribution",
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            "title": "Columns for this asset"
          }
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/epbn-9bv3/query.geojson?accessType=DOWNLOAD",
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        "accessURL": "https://data.cdc.gov/d/epbn-9bv3",
        "description": "PLACES: Local Data for Better Health, Place Data 2022 release - Dataset Home",
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        "publisher": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "@id": "https://data.cdc.gov/api/views/epev-k6ss",
      "identifier": "https://data.cdc.gov/api/views/epev-k6ss",
      "title": "NCHS - Infant and neonatal mortality rates: United States, 1915-2013",
      "description": "Rates are infants (under 1 year) and neonatal (under 28 days) deaths per 1,000 live births.\n\nhttps://www.cdc.gov/nchs/data-visualization/mortality-trends/",
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        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Infant and neonatal mortality rates: United States, 1915-2013",
          "description": "Rates are infants (under 1 year) and neonatal (under 28 days) deaths per 1,000 live births. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/epev-k6ss",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Infant and neonatal mortality rates: United States, 1915-2013",
        "accessURL": "https://www.cdc.gov/nchs/data-visualization/mortality-trends/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "SAMHSA Synar Reports: Youth Tobacco Sales",
      "description": "1997-2018. Substance Abuse and Mental Health Services Administration (SAMHSA). Synar Reports: Youth Tobacco Sales. Policy – Youth Tobacco Sales. SAMHSA’s Synar Report on Youth Tobacco Sales presents findings on compliance of the Synar Amendment aimed at decreasing youth access to tobacco, and reviews progress in enforcing State youth tobacco access laws and in reducing the percentage of retailers selling tobacco products to minors.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/escb-scz6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "cdc",
        "youth tobacco sales",
        "tobacco",
        "osh",
        "office on smoking and health"
      ],
      "modified": "2026-09-23",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Policy/SAMHSA-Synar-Reports-Youth-Tobacco-Sales/escb-scz6"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/escb-scz6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/escb-scz6",
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          "accessURL": "https://data.cdc.gov/d/escb-scz6",
          "mediaType": "application/json",
          "modified": "2026-09-23",
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            "title": "Columns for this asset"
          }
        },
        {
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          "accessURL": "https://data.cdc.gov/d/escb-scz6",
          "mediaType": "application/xml",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/escb-scz6/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/escb-scz6",
          "mediaType": "application/geo+json",
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        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/escb-scz6/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/escb-scz6",
          "mediaType": "application/vnd.google-earth.kml+xml",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/escb-scz6/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/escb-scz6",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "SAMHSA Synar Reports: Youth Tobacco Sales - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/escb-scz6",
        "description": "SAMHSA Synar Reports: Youth Tobacco Sales - Dataset Home",
        "issued": "2023-07-14",
        "publisher": [
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      "license": "http://opendatacommons.org/licenses/by/1.0/",
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      "programCode": [
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    },
    {
      "@type": "Dataset",
      "title": "CDC PRAMStat Data for 2011",
      "description": "2011.  Centers for Disease Control and Prevention (CDC).  PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments.  PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy.\r\nData will be updated annually as it becomes available.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ese6-rqpq",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DRH Public Inquiries",
          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/uj8q-r4hw",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention, Pregnancy Risk Assessment Monitoring System (PRAMS), Division of Reproductive Health"
      },
      "keyword": [
        "mental health",
        "wic",
        "unintended pregnancy",
        "tobacco use",
        "stress",
        "smoke exposure",
        "sleep behavior",
        "contraception",
        "breastfeeding",
        "reproductive health",
        "prenatal care",
        "pregnancy history",
        "preconception health",
        "obesity",
        "morbidity",
        "abuse",
        "alcohol use",
        "infant health",
        "medicaid"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2011/ese6-rqpq"
      },
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ese6-rqpq/export.csv?accessType=DOWNLOAD",
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      ],
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        "title": "CDC PRAMStat Data for 2011 - Dataset Home",
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        "description": "CDC PRAMStat Data for 2011 - Dataset Home",
        "issued": "2023-07-18",
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention, Pregnancy Risk Assessment Monitoring System (PRAMS), Division of Reproductive Health"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections",
      "description": "NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a \"U\" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses. With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2012 have been variant influenza viruses.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/espg-acwi",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "mumps",
        "wonder",
        "novel influenza a virus infections",
        "nndss",
        "netss",
        "nedss",
        "2020"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/espg-acwi/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/espg-acwi",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/espg-acwi/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/espg-acwi",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/espg-acwi/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/espg-acwi",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/espg-acwi/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/espg-acwi",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/espg-acwi/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/espg-acwi",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/espg-acwi/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/espg-acwi",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/espg-acwi",
        "description": "NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Developing a Method to Estimate Aerosol Generation during Poultry Slaughtering and Defeathering in Bangladesh:  An Experimental Study",
      "description": "From June to September 2018, a team of six anthropologists conducted the experiments at the National Reference Laboratory for Avian Influenza, Bangladesh Livestock Research Institute (BLRI), Savar, Bangladesh. We conducted experiments in the facility to ensure a controlled environment, which was required to determine the quantity of PM2.5 generated during poultry slaughtering and defeathering. To ensure consistency across slaughtering and defeathering activities, we hired three LBM workers, who followed the same slaughtering and defeathering steps as in the LBMs and used the same equipment, including knives, barrels and defeathering machines. The team also conducted a survey from February to March 2018 using a semi-structured observation form in all shops (N=716) of all retail LBMs (N=35) in Dhaka city consisting of at least 10 shops. During the survey, they collected data on various equipment used for containing slaughtered poultry during exsanguination and mechanical defeathering, average weight of slaughtered broiler chickens, and average temperature of hot water used for scalding. Additionally, the team measured breathing heights of randomly selected 20 adult workers, who conducted slaughtering and defeathering, from three conveniently selected LBMs.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/etak-um6t",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Institute for Occupational Safety and Health",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/etak-um6t/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/etak-um6t",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Developing a Method to Estimate Aerosol Generation during Poultry Slaughtering and Defeathering in Bangladesh:  An Experimental Study - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/etak-um6t",
        "description": "Developing a Method to Estimate Aerosol Generation during Poultry Slaughtering and Defeathering in Bangladesh:  An Experimental Study - Dataset Home",
        "issued": "2025-04-02",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States",
      "description": "Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States\n\n• Archived data are available here:  https://data.cdc.gov/resource/vfj2-bfuw \n• Influenza vaccination coverage among children is assessed through the National Immunization Survey-Flu (NIS-Flu) annually, providing weekly influenza vaccination coverage estimates for children 6 months–17 years based upon parental report. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)\no NIS-Flu is a national random-digit-dialed cellular telephone survey of households conducted during the flu season (October-June).\n• Final estimates for prior seasons and other flu vaccination data are available at CDC’s FluVaxView:  https://www.cdc.gov/flu/fluvaxview/index.htm.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/eudc-n39h",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vax Views",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "children",
        "flu shot",
        "influenza",
        "nis",
        "nis-flu",
        "vaccine coverage",
        "flu"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/eudc-n39h/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eudc-n39h",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/eudc-n39h/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eudc-n39h",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/eudc-n39h/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/eudc-n39h/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eudc-n39h",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/eudc-n39h/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/eudc-n39h",
        "description": "Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States - Dataset Home",
        "issued": "2023-12-01",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "High-fat western diet consumption exacerbates silica-induced pulmonary inflammation and fibrosis",
      "description": "Adipose tissue (AT), an endocrine organ, plays a central role in maintenance of whole-body energy homeostasis through its release of adipokines. Obesity, affecting over 40% of American adults, disrupts adipocyte metabolism leading to chronic systemic inflammation and metabolic dysfunction (MetDys). MetDys is associated with impaired lung function, pulmonary hypertension, and asthma. The aim of this study was to investigate the effects of high-fat Western diet (HFWD)-consumption on silica-induced pulmonary inflammation and fibrosis in the F344 rat.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/eur4-ng38",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Pathology and Physiology Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/eur4-ng38/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/eur4-ng38",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "High-fat western diet consumption exacerbates silica-induced pulmonary inflammation and fibrosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/eur4-ng38",
        "description": "High-fat western diet consumption exacerbates silica-induced pulmonary inflammation and fibrosis - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Estimated Number of COVID-19 Vaccinations Administered in Retail Pharmacies and Physician Medical Offices, Adults 18 years and older, by Season and Age Group, United States",
      "description": "•Weekly Cumulative Estimated Number of COVID-19 Vaccinations Administered in Retail Pharmacies and Physician Medical Offices, Adults 18 Years and Older, United States  \n\n•The projected pharmacy estimates are based on  IQVIA†,‡ Longitudinal Prescription Claims (LRx) and vaccinations administered in retail pharmacies (including chain, mass merchandise, food stores, and independent pharmacies). § The projected physicians’ medical offices estimates are based on IQVIA’s Medical Claims (Dx). ±   \n\n•Vaccinations administered in workplaces, community locations, long-term care settings, and other medical settings such as public health clinics are not represented in these data. \n\n• Weekly comparisons to previous seasons should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 and 2025–26 COVID-19 vaccines were first available at the end of August 2024 and 2025, respectively. ^",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ewpg-rz7g",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "vsd",
        "covid-19 vaccination",
        "iis",
        "iqvia",
        "nis-acm"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ewpg-rz7g/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ewpg-rz7g",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ewpg-rz7g/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ewpg-rz7g",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ewpg-rz7g/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ewpg-rz7g/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ewpg-rz7g",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ewpg-rz7g/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Estimated Number of COVID-19 Vaccinations Administered in Retail Pharmacies and Physician Medical Offices, Adults 18 years and older, by Season and Age Group, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ewpg-rz7g",
        "description": "Weekly Cumulative Estimated Number of COVID-19 Vaccinations Administered in Retail Pharmacies and Physician Medical Offices, Adults 18 years and older, by Season and Age Group, United States - Dataset Home",
        "issued": "2025-12-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute",
      "description": "NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ex65-qa8z",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "hepatitis (viral acute) type b",
        "nndss",
        "hepatitis (viral acute) type a",
        "wonder",
        "nedss",
        "2022",
        "netss",
        "hemolytic uremic syndrome post-diarrheal"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ex65-qa8z/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ex65-qa8z",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ex65-qa8z/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ex65-qa8z",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ex65-qa8z/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ex65-qa8z/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ex65-qa8z",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ex65-qa8z/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ex65-qa8z/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ex65-qa8z",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
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          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/ex65-qa8z",
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          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ex65-qa8z",
        "description": "NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute - Dataset Home",
        "issued": "2022-01-14",
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            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
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        "009:20"
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        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region with Double Stratification",
      "description": "Monthly COVID-19 death rates per 100,000 population stratified by age group, race/ethnicity, sex, and region, with race/ethnicity by age group and age group by race/ethnicity double stratification",
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        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "CORVD"
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      "keyword": [
        "age group",
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        "covid-19",
        "sex",
        "coronavirus",
        "race and ethnicity",
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      ],
      "modified": "2026-09-22",
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        "@type": "Document",
        "title": "Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region with Double Stratification - Dataset Home",
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        "description": "Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region with Double Stratification - Dataset Home",
        "issued": "2024-01-25",
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      "title": "2021 Final Assisted Reproductive Technology (ART) Success Rates",
      "description": "Data were updated on September 11, 2024.\n\nART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.",
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      ],
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        "name": "Centers for Disease Control and Prevention"
      },
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        "infertility",
        "services",
        "success rates",
        "assisted reproductive technology",
        "clinic",
        "art"
      ],
      "modified": "2026-09-23",
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        "downloadURL": "https://data.cdc.gov/dataset/2021-Final-Assisted-Reproductive-Technology-ART-Su/ey8b-ejrf/revisions/0"
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            "title": "Columns for this asset"
          }
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          "modified": "2026-09-23"
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "2021 Final Assisted Reproductive Technology (ART) Success Rates - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ey8b-ejrf",
        "description": "2021 Final Assisted Reproductive Technology (ART) Success Rates - Dataset Home",
        "issued": "2024-12-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/rxfz-prji",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
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        "009:20"
      ],
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        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE)",
      "description": "2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable expenditures (SAEs) are excess health care expenditures attributable to cigarette smoking by type of service among adults ages 19 years of age and older.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ezab-8sq5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "sae",
        "osh",
        "tobacco",
        "sammec"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Health-Consequences-and-Costs/Smoking-Attributable-Mortality-Morbidity-and-Econo/ezab-8sq5"
      },
      "distribution": [
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ezab-8sq5/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ezab-8sq5",
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          "modified": "2026-09-22"
        },
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          "accessURL": "https://data.cdc.gov/d/ezab-8sq5",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/ezab-8sq5/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ezab-8sq5/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ezab-8sq5",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ezab-8sq5/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ezab-8sq5/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ezab-8sq5",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ezab-8sq5/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ezab-8sq5",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ezab-8sq5/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ezab-8sq5",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ezab-8sq5",
        "description": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE) - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "National Syndromic Surveillance Program (NSSP) Mental Health-Related Emergency Department Visit Rates",
      "description": "<b>Data Source Description</b>: Syndromic surveillance provides public health officials with a timely system for detecting, understanding, and monitoring health threats. By tracking symptoms and conditions reported by patients in emergency departments (EDs), public health officials can monitor trends in critical areas. When people seek treatment in the ED, the facility sends de-identified data—including chief complaint, diagnosis codes, patient characteristics, and location—to state and local health departments to share with CDC.    \n \n\n<b>Indicator definitions</b>: Definitions include both (1) visits with acute mental health crises or evaluations where the sole or primary reason for the visit is related to mental health, and (2) visits where a mental health condition may not be the sole reason for the visit but was noted to be present in the discharge diagnosis or chief complaint.  \n\nED data are displayed as rates.    \n\n* The rate explains the number of ED visits related to a specific mental health condition out of every 100,000 ED visits.  The monthly rate of ED visits related to a condition is calculated as the number of ED visits related to a condition as a fraction of the total number of ED visits in a given month multiplied by 100,000. ED visits with and without mental health conditions where patients were under 12 years old and where age, sex, and race and ethnicity were unknown were included in the denominators when calculating rates for the overall population.  \n\n* Rates are also calculated within demographic groups such as age, sex, and race and ethnicity. This is done by comparing the number of ED visits related to a condition within a demographic group as a fraction of the total number of ED visits for that demographic group in a given month multiplied by 100,000. \n\n \n\n<b>Data quality and methodology</b>: More than 6,900 health care facilities covering 50 states, the District of Columbia, and Guam contribute data to NSSP daily. More than 80% of U.S. emergency departments send data to NSSP. Data are collected continuously, and for the purposes of this data channel, updated monthly. Monthly counts that are less than 10 either for the complete population or for specific demographic groups are not shown to protect confidentiality and privacy. Note, rate information may change as data are dynamically adjusted as electronic health record information is updated. However, these changes will not typically affect overall trends.   \n\n \n<b>For additional information, please see</b>: <a href = \"https://www.cdc.gov/mental-health/about-data/mental-health-data-sources.html\" target =\"_blank\">Mental Health Data Sources</a>. \n \nUpdated monthly. ",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/eze9-ahe5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Mental Health Data Channel",
          "hasEmail": "mailto:mentalhealthdata@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cxhp-e5ei",
        "@type": "Organization",
        "name": "Mental Health Data Channel"
      },
      "keyword": [
        "emergency department data",
        "nssp",
        "mental health"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/eze9-ahe5/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eze9-ahe5",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/eze9-ahe5/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/eze9-ahe5",
          "mediaType": "application/json",
          "modified": "2026-09-23",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/eze9-ahe5/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/eze9-ahe5/query.xml?accessType=DOWNLOAD",
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          "mediaType": "application/xml",
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            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Syndromic Surveillance Program (NSSP) Mental Health-Related Emergency Department Visit Rates - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/eze9-ahe5",
        "description": "National Syndromic Surveillance Program (NSSP) Mental Health-Related Emergency Department Visit Rates - Dataset Home",
        "issued": "2025-05-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cxhp-e5ei",
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            "name": "Mental Health Data Channel"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "U.S."
      },
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        "009:20"
      ],
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        "009:033"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "@id": "https://data.cdc.gov/api/views/ezfr-g6hf",
      "identifier": "https://data.cdc.gov/api/views/ezfr-g6hf",
      "title": "AH Monthly Provisional Counts of Deaths by Age Group and HHS region for Select Causes of Death, 2019-2021",
      "description": "Provisional counts of deaths by the month the deaths occurred, by age group and HHS region, for select underlying causes of death for 2019-2020. The dataset also includes monthly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
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        "name": "National Center for Health Statistics (NCHS)",
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            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Monthly Provisional Counts of Deaths by Age Group and HHS region for Select Causes of Death, 2019-2021",
          "description": "Provisional counts of deaths by the month the deaths occurred, by age group and HHS region, for select underlying causes of death for 2019-2020. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/ezfr-g6hf",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Monthly Provisional Counts of Deaths by Age Group and HHS region for Select Causes of Death, 2019-2021",
        "accessURL": "https://www.cdc.gov/nchs/nvss/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/f3a8-hmpp",
      "identifier": "https://data.cdc.gov/api/views/f3a8-hmpp",
      "title": "Healthy People 2020 Foundation Health Measures",
      "description": "The Foundation Health Measures component of the Healthy People 2020 (HP2020) Final Review includes data on 14 global summary measures used to monitor improvement in population health. See Technical Notes of the Foundation Health Measures in the HP2020 Final Review for additional information on the definition and construction of these measures included.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
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        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Healthy People 2020 Foundation Health Measures",
          "description": "The Foundation Health Measures component of the Healthy People 2020 (HP2020) Final Review includes data on 14 global summary measures used to monitor improvement in population health. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/f3a8-hmpp",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Healthy People 2020 Foundation Health Measures",
        "accessURL": "https://www.cdc.gov/nchs/healthy_people/hp2020/foundation-health-measures.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Level of Acute Respiratory Illness (ARI) Activity by State",
      "description": "Respiratory illness activity is monitored using the acute respiratory illness (ARI) metric. ARI captures a broad range of diagnoses from emergency department visits for respiratory illnesses, from the common cold to severe infections like influenza, RSV and COVID-19. It captures illnesses that may not present with fever, offering a more complete picture than the previous influenza-like illness (ILI) metric.  \n\n Updated once per week on Fridays.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/f3zz-zga5",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "National Syndromic Surveillance Program",
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        }
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        "emergency department"
      ],
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Level of Acute Respiratory Illness (ARI) Activity by State - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/f3zz-zga5",
        "description": "Level of Acute Respiratory Illness (ARI) Activity by State - Dataset Home",
        "issued": "2024-11-08",
        "publisher": [
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      "spatial": {
        "@type": "Location",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2007 Glossary and Methodology",
      "description": "Download the latest version of the Glossary and Methodology File",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/f8gx-sdye",
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          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
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        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
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      "modified": "2026-09-22",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/download/f8gx-sdye/application/vnd.ms-excel",
          "accessURL": "https://data.cdc.gov/d/f8gx-sdye",
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      "landingPage": {
        "@type": "Document",
        "title": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2007 Glossary and Methodology - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/f8gx-sdye",
        "description": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2007 Glossary and Methodology - Dataset Home",
        "issued": "2015-01-28",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/fjjr-gap9",
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            "name": "Centers for Disease Control and Prevention"
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    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, ZCTA Data 2020 release",
      "description": "This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fbbf-hgkc",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "500 Cities Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
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        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
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        "prevention",
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        "brfss",
        "outcomes",
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        "zip code",
        "prevalence",
        "behaviors"
      ],
      "modified": "2026-09-22",
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        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2020/qnzd-25i4"
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          "accessURL": "https://data.cdc.gov/d/fbbf-hgkc",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
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          "accessURL": "https://data.cdc.gov/d/fbbf-hgkc",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/fbbf-hgkc/columns.json",
            "title": "Columns for this asset"
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          "downloadURL": "https://data.cdc.gov/api/v3/views/fbbf-hgkc/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fbbf-hgkc",
          "mediaType": "application/xml",
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            "@type": "Standard",
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            "title": "Columns for this asset"
          }
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          "downloadURL": "https://data.cdc.gov/api/v3/views/fbbf-hgkc/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fbbf-hgkc",
          "mediaType": "application/geo+json",
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        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fbbf-hgkc/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fbbf-hgkc",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fbbf-hgkc/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fbbf-hgkc",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Local Data for Better Health, ZCTA Data 2020 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fbbf-hgkc",
        "description": "PLACES: Local Data for Better Health, ZCTA Data 2020 release - Dataset Home",
        "issued": "2021-09-29",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
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      "programCode": [
        "009:020"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1D. Arboviral diseases, West Nile virus to Babesiosis",
      "description": "NNDSS - Table 1D. Arboviral diseases, neuroinvasive and non-neuroinvasive, West Nile virus disease to Babesiosis - 2019.In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fc5f-ixvg",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "2019",
        "babesiosis",
        "arboviral diseases",
        "wonder",
        "west nile virus disease",
        "nndss",
        "netss",
        "nedss"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/fc5f-ixvg/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fc5f-ixvg",
          "mediaType": "text/csv",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/fc5f-ixvg/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fc5f-ixvg",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "accessURL": "https://data.cdc.gov/api/views/fc5f-ixvg/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fc5f-ixvg/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fc5f-ixvg",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/fc5f-ixvg/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1D. Arboviral diseases, West Nile virus to Babesiosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fc5f-ixvg",
        "description": "NNDSS - TABLE 1D. Arboviral diseases, West Nile virus to Babesiosis - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2009",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 1 of 48 and corresponds to the time range between November 8, 2009, and January 4, 2010.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fcen-ampm",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/download/fcen-ampm/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/fcen-ampm",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2009 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fcen-ampm",
        "description": "Elk Creek Seismic Waveforms 2009 - Dataset Home",
        "issued": "2025-07-02",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
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      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 5 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 32 of 48 and corresponds to the time range between March 26, 2012, and April 9, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fdi8-wt2r",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/download/fdi8-wt2r/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/fdi8-wt2r",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 5 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fdi8-wt2r",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 5 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
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      ],
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/fdpm-fddm",
      "identifier": "https://data.cdc.gov/api/views/fdpm-fddm",
      "title": "Healthy People 2020 Overview of Health Disparities",
      "description": "The Overview of Health Disparities analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included 611 objectives in HP2020. This file contains summary level information used for the evaluation of changes in disparities during HP2020, including calculations for the disparities measures and the disparities change categories for all objectives and population characteristics in the analysis. See Technical Notes for the Healthy People 2020 Overview of Health Disparities (https://www.cdc.gov/nchs/healthy_people/hp2020/health-disparities-technical-notes.htm) for additional information and criteria for objectives, data years, and population characteristics included in the analysis and statistical formulas and definitions for the disparities measures.\n\nData for additional years during the HP2020 tracking period that are not included in the Overview of Health Disparities are available on the HP2020 website (https://www.healthypeople.gov/2020/).\n\nNote that “rate” as used may refer to a statistical rate expressed per unit population or a proportion, depending on how the HP2020 objective was defined.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
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        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)"
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      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Healthy People 2020 Overview of Health Disparities",
          "description": "The Overview of Health Disparities analysis is a component of the Healthy People 2020 (HP2020) Final Review. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/fdpm-fddm",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Healthy People 2020 Overview of Health Disparities",
        "accessURL": "https://www.cdc.gov/nchs/healthy_people/hp2020/health-disparities.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Population-Weighted Global Horizontal Irradiance, 1991-2012",
      "description": "This dataset provides data at the county level for the contiguous United States. It includes daily Global Horizontal Irradiance (GHI) data from 1991-2012 provided by the Environmental Remote Sensing group at the Rollins School of Public Health at Emory University. Please refer to the metadata attachment for more information.\r\n\r\nThese data are used by the CDC's National Environmental Public Health Tracking Network to generate sunlight and ultraviolet (UV) measures. Learn more about sunlight and UV on the Tracking Network's website: https://ephtracking.cdc.gov/showUVLanding.\r\n\r\nBy using these data, you signify your agreement to comply with the following requirements: \r\n1.\tUse the data for statistical reporting and analysis only. \r\n2.\tDo not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \r\n3.\tDo not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \r\n4.\tDo not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \r\n5.\tAcknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \r\n6.\tSuggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. \r\n\r\nProblems or Questions? \r\nEmail trackingsupport@cdc.gov.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fdyw-m38t",
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        }
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        "environmental health",
        "total solar irradiance",
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        "skin cancer"
      ],
      "modified": "2026-09-10",
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      ],
      "landingPage": {
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        "title": "Population-Weighted Global Horizontal Irradiance, 1991-2012 - Dataset Home",
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        "description": "Population-Weighted Global Horizontal Irradiance, 1991-2012 - Dataset Home",
        "issued": "2018-08-01",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NAAG Tobacco Settlement Payments",
      "description": "1999-2024. National Association of Attorneys General (NAAG). Policy—Tobacco Settlement Payments. The National Association of Attorneys General (NAAG) provides Tobacco Settlement Revenue data for 46 states participating in the Master Settlement Agreement (MSA) with the four largest tobacco companies in the United States.  Data are reported on an annual basis.  Four states (Florida, Minnesota, Mississippi, and Texas) provide the STATE System their Tobacco Settlement Revenue data independently.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ffbi-is3j",
      "contactPoint": [
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        }
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        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "tobacco settlement payments",
        "tobacco",
        "state system",
        "office on smoking and health",
        "policy",
        "osh"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Policy/NAAG-Tobacco-Settlement-Payments/ffbi-is3j"
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          "accessURL": "https://data.cdc.gov/d/ffbi-is3j",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ffbi-is3j/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ffbi-is3j",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NAAG Tobacco Settlement Payments - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ffbi-is3j",
        "description": "NAAG Tobacco Settlement Payments - Dataset Home",
        "issued": "2023-07-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Adobe Page Views and Visits for 2019-2024",
      "description": "This dataset contains the web analytics data from Adobe for page views and visits for the timeframe from 2019 through 2024.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fh5p-vkps",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Thom Williams",
          "hasEmail": "mailto:tho1@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/qbjr-6d2m",
        "@type": "Organization",
        "name": "cvp3@cdc.gov"
      },
      "keyword": [
        "analytics",
        "web page views"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fh5p-vkps/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fh5p-vkps",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/fh5p-vkps/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fh5p-vkps",
          "mediaType": "application/json",
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      "landingPage": {
        "@type": "Document",
        "title": "Adobe Page Views and Visits for 2019-2024 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fh5p-vkps",
        "description": "Adobe Page Views and Visits for 2019-2024 - Dataset Home",
        "issued": "2025-10-30",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/qbjr-6d2m",
            "@type": "Organization",
            "name": "cvp3@cdc.gov"
          }
        ]
      },
      "bureauCode": [
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      "programCode": [
        "009:038"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Cryptosporidiosis to Dengue virus infection",
      "description": "NNDSS - Table II. Cryptosporidiosis to Dengue virus infection - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \t\r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  \r\n\r\n† Includes data for dengue and dengue-like illness.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fhc9-h3em",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "cryptosporidiosis",
        "dengue virus infection",
        "nedss",
        "netss",
        "2018",
        "wonder",
        "nndss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fhc9-h3em/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fhc9-h3em",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/fhc9-h3em/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fhc9-h3em",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/fhc9-h3em/columns.json",
            "title": "Columns for this asset"
          }
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/fhc9-h3em/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fhc9-h3em",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Cryptosporidiosis to Dengue virus infection - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fhc9-h3em",
        "description": "NNDSS - Table II. Cryptosporidiosis to Dengue virus infection - Dataset Home",
        "issued": "2019-01-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Vaccination Coverage among Young Children (0-35 Months)",
      "description": "Vaccination Coverage among Young Children (0-35 Months)\n\n• National, regional, state, and selected local area vaccination coverage estimates for 2-year-old children by birth year and birth year cohorts from the National Immunization Survey-Child.\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/childvaxview/index.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fhky-rtsk",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "NCIRD"
      },
      "keyword": [
        "hepatitis b",
        "influenza",
        "mmr",
        "pcv",
        "hepa",
        "rotavirus",
        "vaccination",
        "vaccination coverage",
        "varicella",
        "vaxviews",
        "polio",
        "hepatitis a",
        "dtap",
        "combined 7 series",
        "child vaccination",
        "immunization",
        "hib",
        "hepb"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/fhky-rtsk/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fhky-rtsk",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/fhky-rtsk/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fhky-rtsk",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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          }
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        {
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Vaccination Coverage among Young Children (0-35 Months) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fhky-rtsk",
        "description": "Vaccination Coverage among Young Children (0-35 Months) - Dataset Home",
        "issued": "2021-05-13",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "NCIRD"
          }
        ]
      },
      "bureauCode": [
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      ],
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "The Tax Burden on Tobacco Glossary and Methodology",
      "description": "Download the latest version of the Glossary and Methodology File",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fip8-rcng",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "methodology",
        "glossary"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/fip8-rcng/application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "accessURL": "https://data.cdc.gov/d/fip8-rcng",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The Tax Burden on Tobacco Glossary and Methodology - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fip8-rcng",
        "description": "The Tax Burden on Tobacco Glossary and Methodology - Dataset Home",
        "issued": "2015-02-02",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C, acute, Probable",
      "description": "NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C, acute, Probable - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fj6i-3v3k",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
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        "perinatal infection",
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        "nedss",
        "hepatitis c acute",
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            "title": "Columns for this asset"
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          "accessURL": "https://data.cdc.gov/d/fj6i-3v3k",
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          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C, acute, Probable - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fj6i-3v3k",
        "description": "NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C, acute, Probable - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
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      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, Region 2 - New York",
      "description": "Rate of deaths by age/sex (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.\n\nUpdated on April 28, 2025, to comply with the President’s Executive Order 14168.",
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      "identifier": "https://data.cdc.gov/api/views/fj6s-ssz6",
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        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
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      "keyword": [
        "cdc",
        "centers for disease control and prevention"
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      "modified": "2026-09-09",
      "distribution": [
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        "description": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, Region 2 - New York - Dataset Home",
        "issued": "2016-10-18",
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            "@id": "https://data.cdc.gov/user/cg4e-25jx",
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            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
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        "009:00"
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        "009:020"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 9 - San Francisco",
      "description": "Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",
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      "identifier": "https://data.cdc.gov/api/views/fkfk-2j5x",
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        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
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      "keyword": [
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      ],
      "modified": "2026-09-09",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/fkfk-2j5x/query.xml?accessType=DOWNLOAD",
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          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 9 - San Francisco - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fkfk-2j5x",
        "description": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 9 - San Francisco - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
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            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
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        "009:00"
      ],
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        "009:020"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Mapping Injury, Overdose, and Violence - State",
      "description": "This file contains death counts and death rates for drug overdose, suicide, homicide and firearm injuries by state of residence (additional datasets exist for other levels of geography). The data is grouped by 2 different time periods including yearly and trailing twelve months. Please see data dictionary for intents and mechanisms included in each measure.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fpsi-y8tj",
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        {
          "@type": "Kind",
          "fn": "NCIPC",
          "hasEmail": "mailto:injurydashboard@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/jeb5-35de",
        "@type": "Organization",
        "name": "NCIPC Injury Dashboard"
      },
      "keyword": [
        "deaths",
        "nchs",
        "mortality",
        "homicide",
        "firearm injury",
        "drug overdose",
        "suicide"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/fpsi-y8tj/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fpsi-y8tj",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/fpsi-y8tj/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fpsi-y8tj",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/fpsi-y8tj/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fpsi-y8tj",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/fpsi-y8tj/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Mapping Injury, Overdose, and Violence - State - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fpsi-y8tj",
        "description": "Mapping Injury, Overdose, and Violence - State - Dataset Home",
        "issued": "2026-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/jeb5-35de",
            "@type": "Organization",
            "name": "NCIPC Injury Dashboard"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:033"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis",
      "description": "NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. \r\n\r\n* Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n\r\n��� Illnesses with similar clinical presentation that result from Spotted fever group rickettsia infections are reported as Spotted fever rickettsiosis. Rocky Mountain spotted fever (RMSF) caused by Rickettsia rickettsii, is the most common and well-known spotted fever.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fqve-8wzt",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "wonder",
        "spotted fever rickettsiosis",
        "2014",
        "mmwr",
        "netss",
        "nedss",
        "nndss",
        "rmsf",
        "syphilis primary and secondary"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/fqve-8wzt/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fqve-8wzt",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/fqve-8wzt/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fqve-8wzt",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/fqve-8wzt/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/fqve-8wzt/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fqve-8wzt",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/fqve-8wzt/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fqve-8wzt",
        "description": "NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - Dataset Home",
        "issued": "2015-01-08",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Comparative in vitro toxicity of different thermal spray particulates in human bronchial cells",
      "description": "Introduction: Thermal spray, in general, is a process that involves forcing a melted substance, such as metal or ceramic in the form of wire or powder, onto the surface of a targeted object to enhance its desired surface properties. In this paper, the melted substance is metal wire generated by an electric arc and forcibly coated on a rotary iron substrate using compressed air. This thermal process is referred to as double-wire arc thermal spray. The particles generated through these methods fall within the nanometer to micrometer agglomerate size range. There is concern regarding potential human health outcomes as these particles exhibit a similarity in particle morphology to welding fumes. Thermal spray wires with Zn (PMET540), Fe and Cr (PMET731), and Ni (PMET885) as primary metal compositions were used to generate particulate via an electric arc wire thermal spray generator for exposure to human bronchial cells (BEAS-2B) to examine comparative toxicity ranging from 0-200 µg/mL. Resulting cellular viability was assessed through live cell counts, and percent cytotoxicity was measured as a function of LDH release. Oxidative stress, genotoxicity, and alteration in Total Antioxidant Capacity were evaluated through DNA damage (COMET analysis) and antioxidant concentration at 0, 3.125, 25, and 100 µg/mL. Protein markers for Endothelin-1 (ET-1), Interleukin-6 (IL-6), and Interleukin-8 (IL-8) were also assessed to determine inflammation and endothelial alteration.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fsf9-trph",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Pathology and Physiology Research Branch, Health Effects Laboratory Division",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/fsf9-trph/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/fsf9-trph",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Comparative in vitro toxicity of different thermal spray particulates in human bronchial cells - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fsf9-trph",
        "description": "Comparative in vitro toxicity of different thermal spray particulates in human bronchial cells - Dataset Home",
        "issued": "2024-12-12",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, County Data 2024 release",
      "description": "This dataset contains model-based county estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2022 county population estimate data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fu4u-a9bh",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "brfss",
        "county",
        "health",
        "disability",
        "outcomes",
        "behaviors",
        "status",
        "prevalence",
        "places",
        "prevention",
        "risk"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-County-Data-20/swc5-untb"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fu4u-a9bh/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fu4u-a9bh",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fu4u-a9bh/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fu4u-a9bh",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/fu4u-a9bh/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fu4u-a9bh/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fu4u-a9bh",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/fu4u-a9bh/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fu4u-a9bh/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fu4u-a9bh",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fu4u-a9bh/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fu4u-a9bh",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fu4u-a9bh/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fu4u-a9bh",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Local Data for Better Health, County Data 2024 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fu4u-a9bh",
        "description": "PLACES: Local Data for Better Health, County Data 2024 release - Dataset Home",
        "issued": "2025-12-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection)",
      "description": "NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ In previous years, cases were reported as Salmonellosis. Beginning in January 2019, cases began to be reported as Salmonella Paratyphi infection.\r\n¶ In previous years, cases were reported as typhoid fever. Beginning in January 2019, cases began to be reported as Salmonella Typhi infection.\r\n** In previous years, cases were reported as Salmonellosis (excluding paratyphoid fever and typhoid fever). Beginning in January 2019, cases began to be reported as Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fuzh-wm4c",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nndss",
        "salmonella typhi infection",
        "nedss",
        "salmonella paratyphi infection",
        "netss",
        "wonder",
        "salmonellosis (excluding salmonella typhi infection and salmonella paratyphi infection)",
        "2019"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fuzh-wm4c/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fuzh-wm4c",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fuzh-wm4c/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fuzh-wm4c",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/fuzh-wm4c/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fuzh-wm4c/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fuzh-wm4c",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/fuzh-wm4c/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fuzh-wm4c",
        "description": "NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Effects of E-Cigarette Flavoring Chemicals on Human Macrophages and Bronchial Epithelial Cells",
      "description": "E-cigarettes utilize a wide range of flavoring chemicals whose respiratory health effects are not well understood. In this study, we used pulmonary-associated cell lines to assess the in vitro cytotoxic effects of thirty flavoring chemicals. Human bronchial epithelial cells (BEAS-2B) and both naïve and activated macrophages (THP-1) were treated with 10, 100, and 1000 µM of flavoring chemicals and analyzed for changes in viability, cell membrane damage, reactive oxygen species (ROS) production, and inflammatory cytokine release. Viability was most greatly affected by decanal, hexanal, nonanal, cinnamaldehyde, eugenol, vanillin, alpha-pinene, eugenol, and limonene. High amounts of ROS were elicited by vanillin, ethyl maltol, and the diketones (2,3-pentanedione, 2,3-heptanedione, and 2,3-hexanedione) from both cell lines. Naïve THP-1 cells produced significant levels of IL-1β, IL-8, and TNF-α when exposed to ethyl maltol and hexanal. Activated THP-1 cells released increased IL-1β and TNF-α when exposed to ethyl maltol, but many flavoring chemicals had an apparent suppressive effect on inflammatory cytokines released by activated macrophages, with varying degrees of accompanying cytotoxicity. The diketones, L-carvone, and linalool, suppressed cytokine release in the absence of cytotoxicity. These findings provide insight into patterns of cytotoxicity and inflammatory cytokine release potentially relevant to the development of pathological changes in the lungs of e-cigarette users.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fveu-vvk9",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Pathology and Physiology Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/fveu-vvk9/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/fveu-vvk9",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Effects of E-Cigarette Flavoring Chemicals on Human Macrophages and Bronchial Epithelial Cells - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fveu-vvk9",
        "description": "Effects of E-Cigarette Flavoring Chemicals on Human Macrophages and Bronchial Epithelial Cells - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "BEAM Dashboard - Serotypes of concern: Illnesses and Outbreaks",
      "description": "The BEAM (Bacteria, Enterics, Amoeba, and Mycotics) Dashboard is an interactive tool to access and visualize data from the System for Enteric Disease Response, Investigation, and Coordination (SEDRIC). The BEAM Dashboard provides timely data on pathogen trends and serotype details to inform work to prevent illnesses from food and animal contact.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fvm6-ic5r",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "SIMSO",
          "hasEmail": "mailto:simso@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/57qz-rujz",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "beam dashboard",
        "beam",
        "campylobacteriosis",
        "escherichia",
        "salmonella"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fvm6-ic5r/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fvm6-ic5r",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fvm6-ic5r/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fvm6-ic5r",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/fvm6-ic5r/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fvm6-ic5r/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fvm6-ic5r",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/fvm6-ic5r/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "BEAM Dashboard - Serotypes of concern: Illnesses and Outbreaks - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fvm6-ic5r",
        "description": "BEAM Dashboard - Serotypes of concern: Illnesses and Outbreaks - Dataset Home",
        "issued": "2023-04-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/57qz-rujz",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Identification of the source of in vitro toxicity of the particulate from sanding solid-surface composite",
      "description": "This dataset contains results from laboratory tests examining how dust from common solid-surface materials, like Corian® used in countertops, affects lung cells. Sanding these materials during manufacturing or installation creates fine dust containing the material itself (like aluminum trihydrate, ATH) and potentially particles from the sandpaper. There have been concerns about lung diseases, such as pulmonary fibrosis, in workers exposed to this dust. This study aimed to figure out whether the dust from the Corian® itself or tiny particles from the sandpaper (aluminum oxide, ceramic, or silicon carbide) were more responsible for harmful effects on cells. Researchers exposed cultured human lung cells (THP-1 macrophages, which act like immune cells) to fine dust collected after sanding Corian® with the different sandpapers. They also tested the cells separately with the abrasive particles used in the sandpapers and with ATH. Using advanced automated microscopy (high-content imaging), they measured signs of cell stress like cell death (apoptosis and necrosis), changes in cell growth (cell cycle), and damage to the cell's nucleus. The main finding was that the dust from sanding Corian®, as well as ATH alone, caused a specific type of cell death (apoptosis). However, this dust didn't cause significant immediate cell membrane damage or interfere strongly with how the cells divided. In contrast, the abrasive particles alone did cause problems with cell division and the cell cycle, along with some cell death, but their overall pattern of effects was different from the combined Corian® dust. This suggests that the Corian® material itself, likely the ATH component, is a primary driver of the initial apoptotic stress response seen in these lung cells in vitro.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fxkc-yndc",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "W. Kyle Mandler",
          "hasEmail": "mailto:oex1@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/u83t-x93e",
        "@type": "Organization",
        "name": "Garrett Burnett"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/fxkc-yndc/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/fxkc-yndc",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Identification of the source of in vitro toxicity of the particulate from sanding solid-surface composite - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fxkc-yndc",
        "description": "Identification of the source of in vitro toxicity of the particulate from sanding solid-surface composite - Dataset Home",
        "issued": "2026-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/u83t-x93e",
            "@type": "Organization",
            "name": "Garrett Burnett"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Nationally-normed Well Water Index (WWI)",
      "description": "The WWI is a screening tool that uses nationally available datasets to summarize baseline characteristics about weather-related hazards and vulnerability at the census tract level for communities reliant on private wells. This dataset contains continental US census tracts for which there are nationally-normed WWI assigned. To visualize these data, please visit the Tracking Network at https://ephtracking.cdc.gov/DataExplorer/. For a lay description of these data, please visit https://ephtracking.cdc.gov/indicatorPages and for the scientific publication detailing these data please visit https://pubmed.ncbi.nlm.nih.gov/39510280/\n\nThe data for the state-normed WWI can be accessed here\nhttps://data.cdc.gov/dataset/State-Normed-WWI/snkv-n8f6/about_data\n\nThe data for census tracts with no Well Water Index (WWI) assigned  can be accessed here https://data.cdc.gov/dataset/No-WWI/agqb-jgkw/about_data",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/fxwg-3udm",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Komal Peer",
          "hasEmail": "mailto:ruk8@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/gdpj-49x2",
        "@type": "Organization",
        "name": "SHANNON DEWITT"
      },
      "modified": "2026-09-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fxwg-3udm/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fxwg-3udm",
          "mediaType": "text/csv",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fxwg-3udm/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fxwg-3udm",
          "mediaType": "application/json",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/fxwg-3udm/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/fxwg-3udm/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/fxwg-3udm",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/fxwg-3udm/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Nationally-normed Well Water Index (WWI) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/fxwg-3udm",
        "description": "Nationally-normed Well Water Index (WWI) - Dataset Home",
        "issued": "2025-09-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/gdpj-49x2",
            "@type": "Organization",
            "name": "SHANNON DEWITT"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:032"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C (viral, acute), Probable",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1H. Cholera to Coccidioidomycosis",
      "description": "NNDSS - Table 1H. Cholera to Coccidioidomycosis - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
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      ],
      "landingPage": {
        "@type": "Document",
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        "accessURL": "https://data.cdc.gov/d/fztq-uwup",
        "description": "NNDSS - Table 1H. Cholera to Coccidioidomycosis - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
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    {
      "@type": "Dataset",
      "title": "Monthly Cumulative Number and Percent of Persons Who Receive ≥1 Influenza Vaccination Doses and Comparison Between 2023-2024 and Two Previous Seasons, by Jurisdiction, United States",
      "description": "Monthly Cumulative Number and Percent of Persons Who Receive ≥1 Influenza Vaccination Doses and Comparison Between 2023-2024 and Two Previous Seasons, by Jurisdiction, United States\n\n• Influenza vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group. More information about the IIS can be found at https://www.cdc.gov/vaccines/programs/iis/about.html. \n\n• Influenza vaccination coverage estimate numerators include the number of people receiving at least one dose of influenza vaccine in a given flu season, based on information that state, territorial, and local public health agencies report to CDC. Some jurisdictions’ data may include data submitted by tribes. Estimates include persons who are deceased but received a vaccination during the current season. People receiving doses are attributed to the jurisdiction in which the person resides unless noted otherwise. Quality and completeness of data may vary across jurisdictions. Influenza vaccination coverage denominators are obtained from 2020 U.S. Census Bureau population estimates. \n\n• Monthly estimates shown are cumulative, reflecting all persons vaccinated from July through a given month of that flu season. Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories. \n\n• Because IIS data contain all vaccinations administered within a jurisdiction rather than a sample, standard errors were not calculated and statistical testing for differences in estimates across years were not performed. \n\n• Laws and policies regarding the submission of vaccination data to an IIS vary by state, which may impact the completeness of vaccination coverage reflected for a jurisdiction. More information on laws and policies are found at https://www.cdc.gov/vaccines/programs/iis/policy-legislation.html. \n\n• Coverage estimates based on IIS data are expected to differ from National Immunization Survey (NIS) estimates for children (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-coverage-race.html)                 \nand adults (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-adult-coverage.html) because NIS estimates are based on a sample that may not be representative after survey weighting and vaccination status is determined by survey respondent rather than vaccine records or administrations, and quality and completeness of IIS data may vary across jurisdictions. In general, NIS estimates tend to overestimate coverage due to overreporting and IIS estimates may underestimate coverage due to incompleteness of data in certain jurisdictions.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/g2ck-geg5",
      "contactPoint": [
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          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
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        "iis",
        "immunization information system",
        "flu vaccination"
      ],
      "modified": "2026-09-09",
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        "@type": "Document",
        "title": "Monthly Cumulative Number and Percent of Persons Who Receive ≥1 Influenza Vaccination Doses and Comparison Between 2023-2024 and Two Previous Seasons, by Jurisdiction, United States - Dataset Home",
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        "description": "Monthly Cumulative Number and Percent of Persons Who Receive ≥1 Influenza Vaccination Doses and Comparison Between 2023-2024 and Two Previous Seasons, by Jurisdiction, United States - Dataset Home",
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    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable",
      "description": "NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
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        "description": "NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable - Dataset Home",
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    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus",
      "description": "NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus – 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\n§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as \"viral hemorrhagic fevers\". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",
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        "nndss",
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        "title": "NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus - Dataset Home",
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        "description": "NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus - Dataset Home",
        "issued": "2020-01-21",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "National Artesunate for Severe Malaria Program Follow-On Antimalarial Dosing Data- April to December 2019",
      "description": "This dataset includes deidentified data on patients receiving artesunate through the National Artesunate for Severe Malaria Program from April- December 2019. \n\nThis dataset contains the data from the case report form only.\nPlease see the links below for the other datasets and the attached document 'Guide to NASMP Datasets':\nData from Case Report Form- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Cas/igaz-icki\nData on Artesunate Dosing- https://data.cdc.gov/dataset/National-Artesunate-for-Severe-Malaria-Program-Art/qan4-gt4k\nData on Microscopy (Parasitemia values)- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Mic/v2k9-ctv4\n\nAll data can be easily linked using the ParticipantID field, a unique ID number assigned to each participant.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/g3k9-gyw7",
      "contactPoint": [
        {
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          "fn": "Francisca Abanyie, MD, MPH",
          "hasEmail": "mailto:why6@cdc.gov"
        }
      ],
      "publisher": {
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        "@type": "Organization",
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      "keyword": [
        "division of parasitic diseases and malaria",
        "artesunate",
        "malaria"
      ],
      "modified": "2026-09-10",
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      ],
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        "title": "National Artesunate for Severe Malaria Program Follow-On Antimalarial Dosing Data- April to December 2019 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/g3k9-gyw7",
        "description": "National Artesunate for Severe Malaria Program Follow-On Antimalarial Dosing Data- April to December 2019 - Dataset Home",
        "issued": "2020-04-10",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 2 - New York",
      "description": "Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/g4ag-jrdn",
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        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
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        "cdc"
      ],
      "modified": "2026-09-09",
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          "mediaType": "application/xml",
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          }
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        },
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 2 - New York - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/g4ag-jrdn",
        "description": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 2 - New York - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
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            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Respiratory Syncytial Virus (RSV) Vaccination Coverage among Pregnant Women by Race and Ethnicity",
      "description": "Weekly RSV Vaccination Coverage, Pregnant Women 18-49 Years Old\n\n• RSV vaccination coverage among pregnant women is assessed through the Vaccine Safety Datalink*\n\n• Data on RSV vaccinations among pregnant women was available starting September 22, 2023, and includes doses received starting September 24, 2023.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/g4jn-64pd",
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        {
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          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
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        "vsd",
        "rsv"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/g4jn-64pd/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/g4jn-64pd",
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        },
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          "accessURL": "https://data.cdc.gov/d/g4jn-64pd",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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          "accessURL": "https://data.cdc.gov/d/g4jn-64pd",
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      ],
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        "@type": "Document",
        "title": "Weekly Respiratory Syncytial Virus (RSV) Vaccination Coverage among Pregnant Women by Race and Ethnicity - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/g4jn-64pd",
        "description": "Weekly Respiratory Syncytial Virus (RSV) Vaccination Coverage among Pregnant Women by Race and Ethnicity - Dataset Home",
        "issued": "2023-12-11",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
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      "spatial": {
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        "prefLabel": "United States"
      },
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      ],
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      "inventoried": "2026-09-27"
    },
    {
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      "@id": "https://data.cdc.gov/api/views/g4z9-a9d3",
      "identifier": "https://data.cdc.gov/api/views/g4z9-a9d3",
      "title": "AH Cumulative Provisional COVID-19 Death Counts by Place of Death and Age Group from 2/1/2020 to 7/18/2020",
      "description": "Deaths involving coronavirus disease 2019 (COVID-19) and pneumonia reported to NCHS by jurisdiction of occurrence, place of death, and age group.",
      "contactPoint": {
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      },
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        {
          "@type": "dcat:Distribution",
          "title": "AH Cumulative Provisional COVID-19 Death Counts by Place of Death and Age Group from 2/1/2020 to 7/18/2020",
          "description": "Deaths involving coronavirus disease 2019 (COVID-19) and pneumonia reported to NCHS by jurisdiction of occurrence, place of death, and age group. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/g4z9-a9d3",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
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      ],
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        "@type": "Document",
        "title": "AH Cumulative Provisional COVID-19 Death Counts by Place of Death and Age Group from 2/1/2020 to 7/18/2020",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
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      "@type": "Dataset",
      "title": "Weekly Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States",
      "description": "Weekly Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States \n\n•\tInfluenza vaccination coverage among Medicare fee-for-service beneficiaries aged ≥65 years is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS). \n\n•\tWeekly influenza vaccination coverage estimates were calculated using Kaplan-Meier survival analysis, based on beneficiaries enrolled as of August 1, 2019 and followed through May 31, 2020 for 2019-20 flu season; and enrolled as of August 1, 2020 and followed through May 31, 2021 for 2020-21 flu season; and enrolled as of Aug 1, 2021 and followed through May 28, 2022 for the 2021-22 flu season. \n\n•\tAdditional information about data source is available https://www2.ccwdata.org/web/guest/home/.",
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      "identifier": "https://data.cdc.gov/api/views/g57i-yx3r",
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          "fn": "Vax Views",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
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        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
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        "flu vaccination",
        "flu"
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      "modified": "2026-09-10",
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          }
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          "mediaType": "application/xml",
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        "@type": "Document",
        "title": "Weekly Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/g57i-yx3r",
        "description": "Weekly Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States - Dataset Home",
        "issued": "2021-12-10",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2018-2020",
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        "@type": "Organization",
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        "counties",
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        "stroke",
        "cardiovascular disease"
      ],
      "modified": "2026-09-22",
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        "@type": "Document",
        "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2018-2020 - Dataset Home",
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        "description": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2018-2020 - Dataset Home",
        "issued": "2022-11-01",
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      "license": "http://opendatacommons.org/licenses/by/1.0/",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "High-Fat Western Diet Alters Silica-induced airway epithelium ion exchange but not airway smooth muscle reactivity",
      "description": "Silicosis is an irreversible occupational lung disease resulting from crystalline silica exposure. Previously, we discovered that Western diet (HFWD)-consumption increases susceptibility to silica-induced pulmonary inflammation and fibrosis. This study investigates the potential of HFWD to alter silica-induced effects on airway epithelial ion transport and smooth muscle reactivity.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/g5ts-294x",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "Pathology and Physiology Branch, HELD",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
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        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
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          "modified": "2026-09-10"
        }
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        "@type": "Document",
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        "accessURL": "https://data.cdc.gov/d/g5ts-294x",
        "description": "High-Fat Western Diet Alters Silica-induced airway epithelium ion exchange but not airway smooth muscle reactivity - Dataset Home",
        "issued": "2024-11-15",
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      "inventoried": "2026-09-27"
    },
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      "title": "NWSS Public SARS-CoV-2 Concentration in Wastewater Data",
      "description": "This dataset provides a complete time history of SARS-CoV-2 concentrations in wastewater for each sampling location.\n\nAs of September 12, 2025, this dataset is archived, and no new data will be added. Data will remain available for historical reference.  \nPlease view updated wastewater surveillance data for SARS-CoV-2 at https://data.cdc.gov/Public-Health-Surveillance/CDC-Wastewater-Data-for-SARS-CoV-2/j9g8-acpt/about_data",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/g653-rqe2",
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          "@type": "Kind",
          "fn": "National Wastewater Surveillance System",
          "hasEmail": "mailto:nwss@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/mt3r-qr2b",
        "@type": "Organization",
        "name": "NWSS"
      },
      "keyword": [
        "wastewater"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/g653-rqe2/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/g653-rqe2",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/g653-rqe2/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/g653-rqe2",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/g653-rqe2/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/g653-rqe2/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/g653-rqe2",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/g653-rqe2/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NWSS Public SARS-CoV-2 Concentration in Wastewater Data - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/g653-rqe2",
        "description": "NWSS Public SARS-CoV-2 Concentration in Wastewater Data - Dataset Home",
        "issued": "2024-06-25",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/mt3r-qr2b",
            "@type": "Organization",
            "name": "NWSS"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype",
      "description": "NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/g6fu-zp23",
      "contactPoint": [
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "unknown serotype",
        "nontypeable",
        "non-b serotype",
        "nedss",
        "netss",
        "invasive disease",
        "nndss",
        "haemophilus influenzae",
        "wonder",
        "age <5 years",
        "2022"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/g6fu-zp23/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/g6fu-zp23",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/g6fu-zp23/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/g6fu-zp23",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/g6fu-zp23/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/g6fu-zp23/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/g6fu-zp23",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/g6fu-zp23/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/g6fu-zp23/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/g6fu-zp23",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/g6fu-zp23/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/g6fu-zp23",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/g6fu-zp23/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/g6fu-zp23",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/g6fu-zp23",
        "description": "NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, Age <5 years, Non-b serotype to Unknown serotype - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/g6qk-ngsf",
      "identifier": "https://data.cdc.gov/api/views/g6qk-ngsf",
      "title": "NCHS - Births to Unmarried Women by Age Group: United States",
      "description": "This dataset includes number of births to unmarried women by age group in the United States since 1940.\n\nMethods for collecting information on marital status changed over the reporting period and have been documented in:\n\n• Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf.\n• National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:births@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Births to Unmarried Women by Age Group: United States",
          "description": "This dataset includes number of births to unmarried women by age group in the United States since 1940. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/g6qk-ngsf",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Births to Unmarried Women by Age Group: United States",
        "accessURL": "https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/g7hk-rc8d",
      "identifier": "https://data.cdc.gov/api/views/g7hk-rc8d",
      "title": "AH Provisional COVID-19 Deaths by Week, Place of Death, and Age",
      "description": "Provisional death counts of COVID-19 deaths by place of death, week, and age.\n\nData source: National Center for Health Statistics National Vital Statistics System. Provisional data for 2020-2021.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Provisional COVID-19 Deaths by Week, Place of Death, and Age",
          "description": "Provisional death counts of COVID-19 deaths by place of death, week, and age. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/g7hk-rc8d",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Provisional COVID-19 Deaths by Week, Place of Death, and Age",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Efficacy of Do-It-Yourself Air Filtration Units in Reducing Exposure to Simulated Respiratory Aerosols",
      "description": "Our investigation examined the efficacy of Do-It-Yourself (DIY) air filtration units in reducing recipient exposure to simulated respiratory aerosols within a mock classroom. Seven commercially available box style fans were evaluated using five performance parameters. Two fans with the highest and lowest airflow rates were subsequently evaluated in two DIY unit configurations using either 2.5 or 5 cm deep minimum efficiency reporting value (MERV) 13 filters. DIY air filtration units were tested with the central HVAC system set at 2 air changes/hour (ACH) to represent a classroom with low ventilation. Results of the investigation provide a better understanding of DIY units and their potential to reduce exposure to infectious aerosols that can transmit SARS-CoV-2 and other diseases.\n\nNon-Endorsement Disclaimer:\nMention of any company or product does not constitute endorsement by the National Institute for Occupational Safety and Health (NIOSH), Centers for Disease Control and Prevention (CDC).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/g7ty-3t6s",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Allergy and Clinical Immunology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/g7ty-3t6s/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/g7ty-3t6s",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Efficacy of Do-It-Yourself Air Filtration Units in Reducing Exposure to Simulated Respiratory Aerosols - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/g7ty-3t6s",
        "description": "Efficacy of Do-It-Yourself Air Filtration Units in Reducing Exposure to Simulated Respiratory Aerosols - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Youth And Tobacco Use Infographic",
      "description": "Explore the Youth and Tobacco Use Infographic which outlines key facts related to tobacco use among youth.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/g9dy-mhts",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "quit",
        "cessation",
        "cigarette",
        "cigarette use",
        "current",
        "fact sheet",
        "high school",
        "infographic",
        "middle school",
        "nyts",
        "office on smoking and health",
        "osh",
        "prevalence",
        "smokeless",
        "smoker",
        "smoking",
        "smoking status",
        "state system",
        "survey",
        "tobacco",
        "tobacco use",
        "youth"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/g9dy-mhts/application/pdf",
          "accessURL": "https://data.cdc.gov/d/g9dy-mhts",
          "mediaType": "application/pdf",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Youth And Tobacco Use Infographic - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/g9dy-mhts",
        "description": "Youth And Tobacco Use Infographic - Dataset Home",
        "issued": "2016-06-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Efficacy of ventilation, HEPA air cleaners, universal masking, and physical distancing for reducing exposure to simulated exhaled aerosols in a meeting room-Dataset",
      "description": "There is strong evidence associating the indoor environment with transmission of SARS-CoV-2, the virus that causes COVID-19. SARS-CoV-2 can spread by exposure to droplets and very fine aerosol particles from respiratory fluids that are released by infected persons. Layered mitigation strategies, including but not limited to maintaining physical distancing, adequate ventilation, universal masking, avoiding overcrowding, and vaccination, have shown to be effective in re-ducing the spread of SARS-CoV-2 within the indoor environment. Here, we examine the effect of mitigation strategies on reducing the risk of exposure to simulated respiratory aerosol particles within a classroom-style meeting room. To quantify exposure of uninfected individuals (Recip-ients), surrogate respiratory aerosol particles were generated by a breathing simulator with a headform (Source) that mimicked breath exhalations. Recipients, represented by three breathing simulators with manikin headforms, were placed in a meeting room and affixed with optical particle counters to measure 0.3–3 µm aerosol particles.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ga52-qyaz",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Allergy and Clinical Immunology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/ga52-qyaz/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/ga52-qyaz",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Efficacy of ventilation, HEPA air cleaners, universal masking, and physical distancing for reducing exposure to simulated exhaled aerosols in a meeting room-Dataset - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ga52-qyaz",
        "description": "Efficacy of ventilation, HEPA air cleaners, universal masking, and physical distancing for reducing exposure to simulated exhaled aerosols in a meeting room-Dataset - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/ga7k-kycn",
      "identifier": "https://data.cdc.gov/api/views/ga7k-kycn",
      "title": "DQS NVSS Low birthweight live births, by state: United States.",
      "description": "Data on Low birthweight live births by state in the United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Birth File.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:dqs@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS NVSS Low birthweight live births, by state: United States.",
          "description": "Data on Low birthweight live births by state in the United States. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/ga7k-kycn",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS NVSS Low birthweight live births, by state: United States.",
        "accessURL": "https://www.cdc.gov/nchs/dqs/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/gb4e-yj24",
      "identifier": "https://data.cdc.gov/api/views/gb4e-yj24",
      "title": "VSRR Provisional County-Level Drug Overdose Death Counts",
      "description": "This data visualization presents county-level provisional counts for drug overdose deaths based on a current flow of mortality data in the National Vital Statistics System. County-level provisional counts include deaths occurring within the 50 states and the District of Columbia, as of the date specified and may not include all deaths that occurred during a given time period. Provisional counts are often incomplete and causes of death may be pending investigation resulting in an underestimate relative to final counts (see Technical Notes).\n\nThe provisional data presented on the dashboard below include reported 12 month-ending provisional counts of death due to drug overdose by the decedent’s county of residence and the month in which death occurred.\n\nPercentages of deaths with a cause of death pending further investigation and a note on historical completeness (e.g. if the percent completeness was under 90% after 6 months) are included to aid in interpretation of provisional data as these measures are related to the accuracy of provisional counts (see Technical Notes). Counts between 1-9 are suppressed in accordance with NCHS confidentiality standards. Provisional data presented on this page will be updated on a quarterly basis as additional records are received.\n\nTechnical Notes\n\nNature and Sources of Data\n\nProvisional drug overdose death counts are based on death records received and processed by the National Center for Health Statistics (NCHS) as of a specified cutoff date. The cutoff date is generally the first Sunday of each month. National provisional estimates include deaths occurring within the 50 states and the District of Columbia. NCHS receives the death records from the state vital registration offices through the Vital Statistics Cooperative Program (VSCP).\n\nThe timeliness of provisional mortality surveillance data in the National Vital Statistics System (NVSS) database varies by cause of death and jurisdiction in which the death occurred. The lag time (i.e., the time between when the death occurred and when the data are available for analysis) is longer for drug overdose deaths compared with other causes of death due to the time often needed to investigate these deaths (1). Thus, provisional estimates of drug overdose deaths are reported 6 months after the date of death.\n\nProvisional death counts presented in this data visualization are for “12 month-ending periods,” defined as the number of deaths occurring in the 12 month period ending in the month indicated. For example, the 12 month-ending period in June 2020 would include deaths occurring from July 1, 2019 through June 30, 2020. The 12 month-ending period counts include all seasons of the year and are insensitive to reporting variations by seasonality. These provisional counts of drug overdose deaths and related data quality metrics are provided for public health surveillance and monitoring of emerging trends. Provisional drug overdose death data are often incomplete, and the degree of completeness varies by jurisdiction and 12 month-ending period. Consequently, the numbers of drug overdose deaths are underestimated based on provisional data relative to final data and are subject to random variation.\n\nCause of Death Classification and Definition of Drug Deaths\n\nMortality statistics are compiled in accordance with the World Health Organizations (WHO) regulations specifying that WHO member nations classify and code causes of death with the current revision of the International Statistical Classification of Diseases and Related Health Problems (ICD). ICD provides the basic guidance used in virtually all countries to code and classify causes of death. It provides not only disease, injury, and poisoning categories but also the rules used to select the single underlying cause of death for tabulation from the several diagnoses that may be reported on a single death certificate, as well as definitions, tabulation lists, the format of the death certificate, and regulations on use of the classification. Causes of death for data presented on this report were coded according to ICD guidelines described in annual issues of Part 2a of the NCHS Instruction Manual (2). Drug overdose deaths are identified using underlying cause-of-death codes from the Tenth Revision of ICD (ICD–10): X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), and Y10–Y14 (undetermined).\n\nSelection of Specific Jurisdictions to Report\n\nProvisional counts are presented by the jurisdiction where the decedent resides (e.g. county of residence). Data quality and timeliness for drug overdose deaths vary by reporting jurisdiction. Provisional counts are presented, along with measures of data quality: the percentage of records where the manner of death is listed as “pending investigation”, and a note for specific jurisdictions with historically lower levels of data completeness (where provisional 2019 data were less than 90% complete after 6 months).\n\nPercentage of Records Pending Investigation\n\nDrug overdose deaths often require lengthy investigations, and death certificates may be initially filed with a manner of death “pending investigation” and/or with a preliminary or unknown cause of death. When the percentage of records reported as “pending investigation” is high for a given jurisdiction, the number of drug overdose deaths is likely to be underestimated. Counts of drug overdose deaths may be underestimated to a greater extent in jurisdictions or counties where more records in NVSS are reported as “pending investigation” for the six most recent 12 month-ending periods.\n\nHistorical Completeness\n\nThe historical percent completeness of provisional data is obtained by dividing the number of death records in the NVSS database for each jurisdiction and county after a 6-month lag for deaths occurring in 2019 by the number of deaths eventually included in the final data files. Counties with historically lower levels of provisional data completeness are flagged with a note to indicate that the data may be incomplete in these areas. However, the completeness of provisional data may change over time, and therefore the degree of underestimation will not be known until data are finalized (typically 11-12 months after the end of the data year).\n\nDifferences between Final and Provisional Data\n\nThere may be differences between provisional and final data for a given data year (e.g., 2020). Final drug overdose death data published annually through NCHS statistical reports (3) and CDC WONDER undergo additional data quality checks and processing. Provisional counts reported here are subject to change as additional data are received.\n\nSource\n\nNCHS, National Vital Statistics System. Estimates for 2020 and 2021 are based on provisional data. Estimates for 2019 are based on final data (available from: https://www.cdc.gov/nchs/nvss/mortality_public_use_data.htm).\n\nReferences\n\n1. Spencer MR, Ahmad F. Timeliness of death certificate data for mortality surveillance and provisional estimates. National Center for Health Statistics. 2016. Available from: https://www.cdc.gov/nchs/data/vsrr/report001.pdf\n2. National Vital Statistics System. Instructions for classifying the underlying cause of death. In: NCHS instruction manual; Part 2a. Published annually.\n3. Hedegaard H, Miniño AM, Warner M. Drug overdose deaths in the United States, 1999–2018. NCHS Data Brief, no 356. Hyattsville, MD: National Center for Health Statistics. 2020. Available from: https://www.cdc.gov/nchs/products/databriefs/db356.htm\n\nSuggested Citation\n\nAhmad FB, Anderson RN, Cisewski JA, Rossen LM, Warner M, Sutton P. County-level provisional drug overdose death counts. National Center for Health Statistics. 2021.\n\nDesigned by MirLogic Solutions Corp: National Center for Health Statistics.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "VSRR Provisional County-Level Drug Overdose Death Counts",
          "description": "This data visualization presents county-level provisional counts for drug overdose deaths based on a current flow of mortality data in the National Vital Statistics System. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/gb4e-yj24",
          "modified": "2026-07-16"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-16",
      "landingPage": {
        "@type": "Document",
        "title": "VSRR Provisional County-Level Drug Overdose Death Counts",
        "accessURL": "https://www.cdc.gov/nchs/nvss/vsrr/prov-county-drug-overdose.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, ZCTA Data 2022 release",
      "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2022 release. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/gd4x-jyhw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "status",
        "health",
        "brfss",
        "behaviors",
        "outcomes",
        "places",
        "prevalence",
        "zip code",
        "prevention",
        "risk",
        "zcta"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2020/qnzd-25i4"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gd4x-jyhw/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gd4x-jyhw",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gd4x-jyhw/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gd4x-jyhw",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/gd4x-jyhw/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gd4x-jyhw/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gd4x-jyhw",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/gd4x-jyhw/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gd4x-jyhw/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gd4x-jyhw",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gd4x-jyhw/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gd4x-jyhw",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gd4x-jyhw/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gd4x-jyhw",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Local Data for Better Health, ZCTA Data 2022 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/gd4x-jyhw",
        "description": "PLACES: Local Data for Better Health, ZCTA Data 2022 release - Dataset Home",
        "issued": "2023-06-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/gebw-t5b7",
      "identifier": "https://data.cdc.gov/api/views/gebw-t5b7",
      "title": "DQS Visits to physician offices, hospital outpatient departments, and hospital emergency departments, by age, sex, and race: United States (Archived)",
      "description": "This topic is no longer available in the NCHS Data Query System (DQS). Data on visits to physician offices and hospital emergency departments in the United States, by age, sex, and race. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey.\nSearch, visualize, and download these and other estimates from over 150 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Visits to physician offices, hospital outpatient departments, and hospital emergency departments, by age, sex, and race: United States (Archived)",
          "description": "This topic is no longer available in the NCHS Data Query System (DQS). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/gebw-t5b7",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Visits to physician offices, hospital outpatient departments, and hospital emergency departments, by age, sex, and race: United States (Archived)",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection",
      "description": "NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/gepg-djaz",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nedss",
        "netss",
        "nndss",
        "wonder",
        "2020",
        "anaplasma phagocytophilum infection",
        "ehrlichia chaffeensis infection",
        "ehrlichiosis and anaplasmosis"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gepg-djaz/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gepg-djaz",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gepg-djaz/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gepg-djaz",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/gepg-djaz/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gepg-djaz/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gepg-djaz",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/gepg-djaz/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gepg-djaz/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gepg-djaz",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gepg-djaz/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gepg-djaz",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gepg-djaz/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gepg-djaz",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/gepg-djaz",
        "description": "NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
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        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/ggsw-596z",
      "identifier": "https://data.cdc.gov/api/views/ggsw-596z",
      "title": "NHANES Select Oral Health Prevalence Estimates",
      "description": "These data represent prevalence estimates of select oral health topics from the National Health and Nutrition Examination Survey (NHANES).",
      "contactPoint": {
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        "name": "National Center for Health Statistics (NCHS)",
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            "name": "Centers for Disease Control and Prevention (CDC)"
          }
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      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NHANES Select Oral Health Prevalence Estimates",
          "description": "These data represent prevalence estimates of select oral health topics from the National Health and Nutrition Examination Survey (NHANES). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/ggsw-596z",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
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      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NHANES Select Oral Health Prevalence Estimates",
        "accessURL": "https://www.cdc.gov/nchs/nhanes/visualization/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/gj3i-hsbz",
      "identifier": "https://data.cdc.gov/api/views/gj3i-hsbz",
      "title": "DQS NHIS Adult Summary Health Statistics",
      "description": "Interactive Summary Health Statistics for Adults provide annual estimates of selected health topics for adults aged 18 years and over based on final data from the National Health Interview Survey. Search, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS NHIS Adult Summary Health Statistics",
          "description": "Interactive Summary Health Statistics for Adults provide annual estimates of selected health topics for adults aged 18 years and over based on final data from the National Health Interview Survey. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/gj3i-hsbz",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
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      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS NHIS Adult Summary Health Statistics",
        "accessURL": "https://www.cdc.gov/nchs/nhis/products/data-query-systems.html"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 2 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 29 of 48 and corresponds to the time range between February 20, 2012, and March 5, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/gjin-89pu",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/gjin-89pu/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/gjin-89pu",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 2 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/gjin-89pu",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 2 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/gjsp-ircr",
      "identifier": "https://data.cdc.gov/api/views/gjsp-ircr",
      "title": "HUS_Footnote_Look_Up_ASTHCH",
      "description": "Footnotes for Health, US - Asthma in children younger than age 18, by selected characteristics: United States.\n\nData on asthma in children younger than age 18 in the United States, by selected characteristics. Data are from Health, United States. Source: National Center for Health Statistics, National Health Interview Survey.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
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        "name": "National Center for Health Statistics (NCHS)",
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          {
            "@type": "org:Organization",
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          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "HUS_Footnote_Look_Up_ASTHCH",
          "description": "Footnotes for Health, US - Asthma in children younger than age 18, by selected characteristics: United States. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/gjsp-ircr",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "HUS_Footnote_Look_Up_ASTHCH",
        "accessURL": "https://data.cdc.gov/d/gjsp-ircr"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Biological effects of crude oil vapor. IV. Cardiovascular effects-Dataset",
      "description": "According to the North American Industry Classification System, workers employed in the oil and gas extraction industry are working in one of three areas; 1) extraction, 2) drilling, or 3) processing and refinement (Bureau of Labor Statistics, April 15, 2014).  Both workers and people living in communities that are in close proximity to areas where gas and oil extraction and refinement occur have a higher incidence of respiratory, cardiovascular, digestive, reproductive and nervous system disorders,\n\nThe goal of these studies was to identify mechanisms underlying the development of cardiovascular disease after inhalation of crude oil vapors (COV). The oil used for this study was a surrogate of the crude oil that leaked into the Gulf of Mexico after the Deepwater Horizon oil spill (McKinney et al., 2021). We tested the hypothesis that changes in cardiovascular function after inhalation of COV are manifested as changes in the responsiveness of the heart and peripheral vascular system to vasoconstricting and vasodilating agonists.  Based on previous studies, we also predicted that inhalation of COV would affect the expression of biomarkers of cardiac and kidney function that are associated with blood pressure regulation and disease.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/gkpu-vawv",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Physical Effects Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/gkpu-vawv/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/gkpu-vawv",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Biological effects of crude oil vapor. IV. Cardiovascular effects-Dataset - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/gkpu-vawv",
        "description": "Biological effects of crude oil vapor. IV. Cardiovascular effects-Dataset - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital",
      "description": "NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/gp24-kfxi",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "2019",
        "yellow fever",
        "wonder",
        "zika virus disease",
        "non-congenital",
        "nndss",
        "netss",
        "nedss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gp24-kfxi/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gp24-kfxi",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gp24-kfxi/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gp24-kfxi",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/gp24-kfxi/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gp24-kfxi/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gp24-kfxi",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/gp24-kfxi/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/gp24-kfxi",
        "description": "NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/gpsd-ru5i",
      "identifier": "https://data.cdc.gov/api/views/gpsd-ru5i",
      "title": "DQS NHIS Adult Summary Statistics Footnotes",
      "description": "List of footnotes, notes, and source information for NHIS Adult Summary Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NHIS Adults Summary Statistics Dataset.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS NHIS Adult Summary Statistics Footnotes",
          "description": "List of footnotes, notes, and source information for NHIS Adult Summary Statistics. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/gpsd-ru5i",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS NHIS Adult Summary Statistics Footnotes",
        "accessURL": "https://www.cdc.gov/nchs/nhis/shs.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "National Immunization Survey Child COVID Module (NIS-CCM): Vaccination Status and Intent by Demographics | Data | Centers for Disease Control and Prevention (cdc.gov)",
      "description": "National Immunization Survey Child COVID Module (NIS-CCM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/gr26-95h2",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "James Singleton",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "NCIRD"
      },
      "keyword": [
        "nis-ccm",
        "covid-19 vaccination",
        "covid tracker"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gr26-95h2/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gr26-95h2",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gr26-95h2/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gr26-95h2",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/gr26-95h2/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gr26-95h2/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gr26-95h2",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/gr26-95h2/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Immunization Survey Child COVID Module (NIS-CCM): Vaccination Status and Intent by Demographics | Data | Centers for Disease Control and Prevention (cdc.gov) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/gr26-95h2",
        "description": "National Immunization Survey Child COVID Module (NIS-CCM): Vaccination Status and Intent by Demographics | Data | Centers for Disease Control and Prevention (cdc.gov) - Dataset Home",
        "issued": "2022-06-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "NCIRD"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 8 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 35 of 48 and corresponds to the time range between May 28, 2012, and July 16, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/gs92-8j3q",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/gs92-8j3q/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/gs92-8j3q",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 8 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/gs92-8j3q",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 8 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/gsea-w83j",
      "identifier": "https://data.cdc.gov/api/views/gsea-w83j",
      "title": "Post-COVID Conditions",
      "description": "As part of an ongoing partnership with the Census Bureau, the National Center for Health Statistics (NCHS) recently added questions to assess the prevalence of post-COVID-19 conditions (long COVID), on the experimental Household Pulse Survey. This 20-minute online survey was designed to complement the ability of the federal statistical system to rapidly respond and provide relevant information about the impact of the coronavirus pandemic in the U.S. Data collection began on April 23, 2020. Beginning in Phase 3.5 (on June 1, 2022), NCHS included questions about the presence of symptoms of COVID that lasted three months or longer. Phase 3.5 will continue with a two-weeks on, two-weeks off collection and dissemination approach.\n\nEstimates on this page are derived from the Household Pulse Survey and show the percentage of adults aged 18 and over who a) as a proportion of the U.S. population, the percentage of adults who EVER experienced post-COVID conditions (long COVID). These adults had COVID and had some symptoms that lasted three months or longer; b) as a proportion of adults who said they ever had COVID, the percentage who EVER experienced post-COVID conditions; c) as a proportion of the U.S. population, the percentage of adults who are CURRENTLY experiencing post-COVID conditions. These adults had COVID, had long-term symptoms, and are still experiencing symptoms; d) as a proportion of adults who said they ever had COVID, the percentage who are CURRENTLY experiencing post-COVID conditions; and e) as a proportion of the U.S. population, the percentage of adults who said they ever had COVID.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Post-COVID Conditions",
          "description": "As part of an ongoing partnership with the Census Bureau, the National Center for Health Statistics (NCHS) recently added questions to assess the prevalence of post-COVID-19 conditions (long COVID), on the experimental Household Pulse Survey. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/gsea-w83j",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Post-COVID Conditions",
        "accessURL": "https://www.cdc.gov/nchs/covid19/pulse/long-covid.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Revealing the Structural and Chemical Properties of Copper-based Nanoparticles Released from Copper Treated Wood-Dataset",
      "description": "Copper-based preservatives consisting of micronized and nanoscale copper particles have been widely used in applications for wood protection. The presence of micronized/nanoscale particles and soluble aqueous copper in copper-treated wood has raised questions regarding the forms of released particles and the potential hazards of exposure during the use of these products. However, the lack of a comprehensive understanding of the chemistry of these Cu species is limiting the future investigation of the toxicity of these materials and their potential health impact on workers. In this work, we used a combination of scanning transmission electron microscope (STEM) and electron energy loss spectroscopy (EELS) to analyze the particles released during the sanding/sawing of copper-treated lumber. We have demonstrated using EELS Cu L2,3 edges with comparative reference spectra to determine the Cu species. Three types of species, including basic copper carbonate (BCC), Cu(0), and Cu(II)-Wood complex, were identified in released wood dust particles. The unbound copper particles also exist as a form of BCC or reduced Cu(0). The morphologies and chemical states of emitted copper particles indicate the potential chemical transformation due to copper-wood interactions.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/gt7a-q73y",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Chemical and Biological Monitoring Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/gt7a-q73y/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/gt7a-q73y",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Revealing the Structural and Chemical Properties of Copper-based Nanoparticles Released from Copper Treated Wood-Dataset - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/gt7a-q73y",
        "description": "Revealing the Structural and Chemical Properties of Copper-based Nanoparticles Released from Copper Treated Wood-Dataset - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/gu48-2cs8",
      "identifier": "https://data.cdc.gov/api/views/gu48-2cs8",
      "title": "DQS Personal healthcare spending: United States",
      "description": "Data on personal healthcare spending in the United States, by source of funds. Data are from Health, United States. SOURCE: Centers for Medicare & Medicaid Services, Office of the Actuary, National Health Statistics Group, National Health Expenditure Accounts. Search, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Personal healthcare spending: United States",
          "description": "Data on personal healthcare spending in the United States, by source of funds. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/gu48-2cs8",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Personal healthcare spending: United States",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 , Confirmed to Invasive pneumococcal disease, age <5, Probable",
      "description": "NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 , Confirmed to Invasive pneumococcal disease, age <5, Probable  - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/gui6-i83p",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "invasive pneumococcal disease",
        "nedss",
        "netss",
        "nndss",
        "probable",
        "wonder",
        "2019",
        "age<5",
        "confirmed"
      ],
      "modified": "2026-09-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gui6-i83p/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gui6-i83p",
          "mediaType": "text/csv",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gui6-i83p/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gui6-i83p",
          "mediaType": "application/json",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/gui6-i83p/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gui6-i83p/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gui6-i83p",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/gui6-i83p/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 , Confirmed to Invasive pneumococcal disease, age <5, Probable - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/gui6-i83p",
        "description": "NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 , Confirmed to Invasive pneumococcal disease, age <5, Probable - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percent Positivity of COVID-19 Nucleic Acid Amplification Tests by HHS Region, National Respiratory and Enteric Virus Surveillance System",
      "description": "More than 450 public health and clinical laboratories located throughout the United States participate in surveillance for severe acute respiratory virus coronavirus type 2 (SARS-CoV-2), the virus that causes COVID-19, through CDC's National Respiratory and Enteric Virus Surveillance System (NREVSS). The dataset contains a weekly summary of aggregate counts of the total SARS-CoV-2 tests and SARS-CoV-2 detections reported to NREVSS since March 14, 2020. These data are reported weekly on a voluntary basis. Clinical laboratories do not report demographic data through NREVSS. Testing practices may vary regionally, and the number of participating laboratories may change from year to year. Results can be changed for up to 2 years after the initial reporting week. However, discrepancies may be noted and updated at the discretion of the data stewards and key stakeholders.\n\nWhile NREVSS strives to present the most precise estimates of respiratory viral trends with reporting burden minimized for participating laboratories, there are several inherent limitations to this surveillance system.\n\nNREVSS does not collect patient-specific data or demographic information. Multiple samples may be collected from a single patient, so NREVSS results do not necessarily reflect the number of patients tested, nor do they directly reflect hospitalizations or deaths related to COVID-19.\n\nParticipating laboratories vary in size, testing capabilities, and areas served. Some institutions may receive and test samples from sites across a given state or even from multiple states. Without direct knowledge of the population base, NREVSS cannot be used to determine the prevalence or incidence of infection.\n\nFor more information on NREVSS and COVID-19 surveillance please visit: https://www.cdc.gov/surveillance/nrevss. These data appear starting May 25, 2023 on the CDC COVID Data Tracker at the following URLs: https://covid.cdc.gov/covid-data-tracker/#trends ; https://covid.cdc.gov/covid-data-tracker/#cases.   \n\nNREVSS data are reported at the national and HHS regional levels. The ten (10) U.S. Department of HHS regions are defined here: https://www.hhs.gov/about/agencies/iea/regional-offices/index.html. \n\nThe data represent SARS-CoV-2 Nucleic Acid Amplification Test (NAAT) results, which include reverse transcriptase-polymerase chain reaction (RT-PCR) tests from a voluntary, sentinel network of participating laboratories in the United States, including clinical, public health and commercial laboratories (https://www.cdc.gov/surveillance/nrevss/labs/index.html). \n\nThese data exclude antigen, antibody, and at-home test results. \n\nAll data are provisional and subject to change. Reporting is less complete for the past 1 week, and more complete (>90%) for the period 2 weeks earlier. \n\nThere are data from all states across the 10 HHS regions. Because the data are from a sentinel network of laboratories, however, results may vary geographically. The data do not include all test results within a jurisdiction and therefore do not reflect all SARS-CoV-2 NAATs administered in the United States. \n\nPercent positivity is one of the surveillance metrics used to monitor COVID-19 transmission over time and by area. Percent positivity is calculated by dividing the number of positive NAATs by the total number of NAATs administered, then multiplying by 100 [(# of positive NAAT tests / total NAAT tests) x 100].\n\nThe data represent laboratory tests performed, not individual (deduplicated) results in people. In the table and upon hovering on the map, the total test counts in the data reflect the latest data reported from NREVSS laboratories and may not match the data presented by various jurisdictions.\n\nOn May 11, 2023, CDC discontinued utilizing the COVID electronic laboratory reporting (CELR) platform as the primary laboratory source of COVID-19 results. These data are archived at health.data.gov.\n\nFor more information about NREVSS, please see: https://www.cdc.gov/surveillance/nrevss/",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/gvsb-yw6g",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Virologic Unit, Surveillance and Analytics Team",
          "hasEmail": "mailto:nrevss@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/8day-vcrj",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "nrevss",
        "test",
        "covid19"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gvsb-yw6g/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gvsb-yw6g",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gvsb-yw6g/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gvsb-yw6g",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/gvsb-yw6g/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gvsb-yw6g/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gvsb-yw6g",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/gvsb-yw6g/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percent Positivity of COVID-19 Nucleic Acid Amplification Tests by HHS Region, National Respiratory and Enteric Virus Surveillance System - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/gvsb-yw6g",
        "description": "Percent Positivity of COVID-19 Nucleic Acid Amplification Tests by HHS Region, National Respiratory and Enteric Virus Surveillance System - Dataset Home",
        "issued": "2023-06-06",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/8day-vcrj",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Archive: COVID-19 Vaccination and Case Trends by Age Group, United States",
      "description": "</p><p style=\"margin:0in;vertical-align:baseline;\"><strong><em><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>After October 13, 2022, this dataset will no longer be updated as the related CDC COVID Data Tracker site was retired on October 13, 2022.</span></em></strong><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>&nbsp;</span></p>This dataset contains historical trends in vaccinations and cases by age group, at the US national level. Data is stratified by at least one dose and fully vaccinated. Data also represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/gxj9-t96f",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/3suw-ciyu",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "izdl",
        "cases",
        "report date",
        "immunization",
        "covid-19",
        "vaccination",
        "coronavirus",
        "administration"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gxj9-t96f/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gxj9-t96f",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gxj9-t96f/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gxj9-t96f",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/gxj9-t96f/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/gxj9-t96f/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/gxj9-t96f",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/gxj9-t96f/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Archive: COVID-19 Vaccination and Case Trends by Age Group, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/gxj9-t96f",
        "description": "Archive: COVID-19 Vaccination and Case Trends by Age Group, United States - Dataset Home",
        "issued": "2021-11-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/3suw-ciyu",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-12-13",
          "endDate": "2022-08-10"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/gypc-kpgn",
      "identifier": "https://data.cdc.gov/api/views/gypc-kpgn",
      "title": "Drug Use Data from Selected Hospitals",
      "description": "The National Hospital Care Survey (NHCS) collects data on patient care in hospital-based settings to describe patterns of health care delivery and utilization in the United States. Settings currently include inpatient and emergency departments (ED). From this collection, the NHCS contributes data that may inform emerging national health threats such as the current opioid public health emergency. The 2023 - 2025 NHCS are not yet fully operational, so it is important to note that the data presented here are preliminary and not nationally representative.\n\nThe data are from 48 hospitals submitting inpatient and 40 hospitals submitting ED Uniform Bill (UB)-04 administrative claims from November 1, 2023–October 31, 2025. Even though the data are not nationally representative, they can provide insight into the use of opioids and other overdose drugs. The NHCS data is submitted from various types of hospitals (e.g., general/acute, children’s, etc.) and can show results from a variety of indicators related to drug use, such as overall drug use, comorbidities, and drug and polydrug overdose. NHCS data can also be used to report on patient conditions within the hospital over time.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Drug Use Data from Selected Hospitals",
          "description": "The National Hospital Care Survey (NHCS) collects data on patient care in hospital-based settings to describe patterns of health care delivery and utilization in the United States. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/gypc-kpgn",
          "modified": "2026-03-20"
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        "title": "Drug Use Data from Selected Hospitals",
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    },
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      "@type": "Dataset",
      "title": "NNDSS - Table II. Ehrlichiosis and Anaplasmosis",
      "description": "NNDSS - Table II. Ehrlichiosis and Anaplasmosis - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. \r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n *Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Please refer to the MMWR publication for weekly updates to the footnote for this condition.",
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        "accessURL": "https://data.cdc.gov/d/gz3p-wzwf",
        "description": "NNDSS - Table II. Ehrlichiosis and Anaplasmosis - Dataset Home",
        "issued": "2018-01-04",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Population-Weighted Ultraviolet Irradiance, 2004-2015",
      "description": "This dataset provides data at the county level for the contiguous United States. It includes daily Ozone Monitoring Instrument (OMI) Population-Weighted Ultraviolet (UV) irradiance data from October 2004-2015 provided by the Environmental Remote Sensing group at the Rollins School of Public Health at Emory University. Please refer to the metadata attachment for more information.\r\n\r\nThese data are used by the CDC's National Environmental Public Health Tracking Network to generate sunlight and UV measures. Learn more about sunlight and UV on the Tracking Network's website: https://ephtracking.cdc.gov/showUVLanding.\r\n\r\nBy using these data, you signify your agreement to comply with the following requirements: \r\n1.\tUse the data for statistical reporting and analysis only. \r\n2.\tDo not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \r\n3.\tDo not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \r\n4.\tDo not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \r\n5.\tAcknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \r\n6.\tSuggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. \r\n\r\nProblems or Questions? \r\nEmail trackingsupport@cdc.gov.",
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      "modified": "2026-09-09",
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        "description": "Population-Weighted Ultraviolet Irradiance, 2004-2015 - Dataset Home",
        "issued": "2018-08-01",
        "publisher": [
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, County Data 2023 release",
      "description": "This dataset contains model-based county estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2021 or 2020 county population estimate data, and American Community Survey 2017–2021, or 2016–2020 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.",
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        "county",
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        },
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          "mediaType": "application/vnd.google-earth.kmz",
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      ],
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        "title": "PLACES: Local Data for Better Health, County Data 2023 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/h3ej-a9ec",
        "description": "PLACES: Local Data for Better Health, County Data 2023 release - Dataset Home",
        "issued": "2024-07-15",
        "publisher": [
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    },
    {
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      "identifier": "https://data.cdc.gov/api/views/h3hw-hzvg",
      "title": "DQS Death rates for malignant neoplasms, by sex, race, Hispanic origin, and age: United States",
      "description": "Data on death rates for neoplasms in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
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          "title": "DQS Death rates for malignant neoplasms, by sex, race, Hispanic origin, and age: United States",
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        "title": "DQS Death rates for malignant neoplasms, by sex, race, Hispanic origin, and age: United States",
        "accessURL": "https://www.cdc.gov/nchs/hus"
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    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection",
      "description": "NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
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          "fn": "CDC INFO",
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        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
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        "netss",
        "chlamydia trachomatis infection",
        "carbapenemase-producing carbapenem-resistant enterobacteriaceae",
        "chancroid",
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      "modified": "2026-09-10",
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        "@type": "Document",
        "title": "NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/h3kf-bqpq",
        "description": "NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection - Dataset Home",
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    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease",
      "description": "NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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        "@type": "Organization",
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        "netss",
        "nndss",
        "wonder",
        "st. louis virus disease",
        "arboviral diseases",
        "west nile virus disease",
        "nedss",
        "2021"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "modified": "2026-09-09"
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          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
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            "title": "Columns for this asset"
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          "accessURL": "https://data.cdc.gov/d/h4pd-hu6x",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
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          "accessURL": "https://data.cdc.gov/d/h4pd-hu6x",
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          "modified": "2026-09-09"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/h4pd-hu6x/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/h4pd-hu6x",
          "mediaType": "application/vnd.google-earth.kmz",
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        "@type": "Document",
        "title": "NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/h4pd-hu6x",
        "description": "NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
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            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease (age <5 years), Serotype b",
      "description": "NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease (age <5 years), Serotype b - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/h4wb-nae4",
      "contactPoint": [
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nndss",
        "invasive disease",
        "haemophilus influenzae",
        "gonorrhea",
        "all serotypes",
        "all ages",
        "age <5 years",
        "2019",
        "serotype b",
        "nedss",
        "netss",
        "wonder"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/h4wb-nae4/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/h4wb-nae4",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/h4wb-nae4/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/h4wb-nae4",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/h4wb-nae4/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/h4wb-nae4/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/h4wb-nae4",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/h4wb-nae4/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease (age <5 years), Serotype b - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/h4wb-nae4",
        "description": "NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease (age <5 years), Serotype b - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Vaccination Coverage among Pregnant Women",
      "description": "Vaccination Coverage among Pregnant Women\n\n• Data on influenza and tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis (Tdap) vaccination coverage at the state level from the Pregnancy Risk Assessment Monitoring System (PRAMS) for women who had a recent live birth by age and race/ethnicity.\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/adultvaxview/index.html and https://www.cdc.gov/flu/fluvaxview/index.htm",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/h7pm-wmjc",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD ISD SEB",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "NCIRD"
      },
      "keyword": [
        "td",
        "tdap",
        "pregnancy & vaccinations",
        "influenza",
        "immunization",
        "vaccination",
        "vaccination coverage",
        "vaxviews"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/h7pm-wmjc/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/h7pm-wmjc",
          "mediaType": "text/csv",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/h7pm-wmjc/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/h7pm-wmjc",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/h7pm-wmjc/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/h7pm-wmjc/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/h7pm-wmjc",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/api/views/h7pm-wmjc/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Vaccination Coverage among Pregnant Women - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/h7pm-wmjc",
        "description": "Vaccination Coverage among Pregnant Women - Dataset Home",
        "issued": "2021-05-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "NCIRD"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/h7xa-837u",
      "identifier": "https://data.cdc.gov/api/views/h7xa-837u",
      "title": "Telemedicine Use in the Last 4 Weeks",
      "description": "To rapidly monitor recent changes in the use of telemedicine, the National Center for Health Statistics (NCHS) and the Health Resources and Services Administration’s Maternal and Child Health Bureau (HRSA MCHB) partnered with the Census Bureau on an experimental data system called the Household Pulse Survey. This 20-minute online survey was designed to complement the ability of the federal statistical system to rapidly respond and provide relevant information about the impact of the coronavirus pandemic in the U.S.\n\nThe U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of the COVID-19 pandemic on American households.  The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.\n\nThe survey was designed to meet the goal of accurate and timely estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Telemedicine Use in the Last 4 Weeks",
          "description": "To rapidly monitor recent changes in the use of telemedicine, the National Center for Health Statistics (NCHS) and the Health Resources and Services Administration’s Maternal and Child Health Bureau (HRSA MCHB) partnered with the Census Bureau on an experimental data system called the Household Pulse Survey. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/h7xa-837u",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Telemedicine Use in the Last 4 Weeks",
        "accessURL": "https://www.cdc.gov/nchs/covid19/pulse/telemedicine-use.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Effects of Welding Fume Exposure on Human Placental Cells",
      "description": "As more women join the skilled-trade workforce, the effects of workplace exposures on pregnancy need to be explored. This study aimed to identify the effects of mild-steel (MS) and stainless-steel (SS) welding fume exposures on first-trimester placental trophoblast cells, using the HTR-8/SVneo cell line. MS is primarily composed of Iron (Fe) and Manganese (Mn), while SS also contains chromium (Cr) and nickel (Ni). We found that all three welding fumes had significant effects on cellular viability, and also caused increases in free radical production, while negatively affecting their invasive capabilities. MS was the only sample to cause an increase in production of the pro-inflammatory cytokines IL-6 and IL-8. Our results show that welding fume exposure is in fact cytotoxic to trophoblasts, and understanding how these occupational exposures could impact maternal and fetal health is necessary. Identifying how the varying combinations of heavy metals and other materials present in MS and SS welding fumes, along",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/h98p-htn6",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "Health Effects Laboratory, Research Pathology and Physiology Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/h98p-htn6/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/h98p-htn6",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Effects of Welding Fume Exposure on Human Placental Cells - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/h98p-htn6",
        "description": "Effects of Welding Fume Exposure on Human Placental Cells - Dataset Home",
        "issued": "2024-11-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Deepwater Horizon Response Air Sampling Data",
      "description": "The April 20, 2010, explosion and collapse of the BP Deepwater Horizon oil platform in the Gulf of Mexico resulted in the release of millions of barrels of oil into Gulf waters. The response to this disaster involved the efforts of tens of thousands of workers in a variety of capacities across Louisiana, Mississippi, Alabama, Florida, Texas, and in the Gulf of Mexico itself. The diverse work included oil and tar ball removal from beaches, oil skimming and booming near shores, burning of surface oil near the source of the oil release, surface application of dispersant by vessels and aircraft, and containment and recovery work on vessels at the release site. The nature of these activities raised concerns about potential occupational exposures to chemical and physical hazards and mental stressors.\n\nNIOSH investigators conducted health hazard evaluations (HHEs) of Deepwater Horizon Response onshore and offshore workers. The goals of the NIOSH HHE assessments were to describe acute health effects, evaluate occupational exposures in qualitative or quantitative assessments, and generate hypotheses regarding symptoms potentially related to work activities. Environmental air samples were collected in support of the goals.\n\nNIOSH investigators conducted the following exposure evaluations:\n\n- We conducted evaluations on board vessels releasing dispersant. These vessels were deployed to perform small‐scale releases of dispersant in an area with surface oil contamination.\n- We assessed exposures during in‐situ (i.e., on site) burns of surface oil.\n- We assessed exposures on fishing and shrimping trawlers in the Vessels of Opportunity (VoO) program that were assigned to remove surface oil by booming and skimming.\n- We assessed exposures aboard vessels located at the Deepwater Horizon incident site.\n- We assessed exposures during boom and vessel decontamination operations.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ha59-j5yk",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Division of Field Studies and Evaluation, Hazard Evaluation and Technical Assistance Branch",
          "hasEmail": "mailto:HHERequestHelp@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/ha59-j5yk/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/ha59-j5yk",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Deepwater Horizon Response Air Sampling Data - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ha59-j5yk",
        "description": "Deepwater Horizon Response Air Sampling Data - Dataset Home",
        "issued": "2024-11-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Occupant and Alcohol-Impaired Driving Deaths in States, 2005-2014",
      "description": "Alcohol-Impaired Driving Fatalities 2005-2014; All persons killed in crashes involving a driver with BAC >= .08 g/dL. Occupant Fatalities 2005-2014; All occupants killed where body type = 1-79. Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2005-2013 Final Reports and 2014 Annual Report File",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/haed-k2ka",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "cdc",
        "centers for disease control and prevention"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/haed-k2ka/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/haed-k2ka",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/haed-k2ka",
          "mediaType": "application/json",
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            "title": "Columns for this asset"
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        },
        {
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          "accessURL": "https://data.cdc.gov/d/haed-k2ka",
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            "title": "Columns for this asset"
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          "accessURL": "https://data.cdc.gov/d/haed-k2ka",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/haed-k2ka/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/haed-k2ka",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/haed-k2ka/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/haed-k2ka",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Occupant and Alcohol-Impaired Driving Deaths in States, 2005-2014 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/haed-k2ka",
        "description": "Occupant and Alcohol-Impaired Driving Deaths in States, 2005-2014 - Dataset Home",
        "issued": "2016-09-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
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      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Meningococcal to Pertussis",
      "description": "NNDSS - Table II. Meningococcal to Pertussis - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Data for meningococcal disease, invasive caused by serogroups ACWY, serogroup B, other serogroups, and unknown serogroups are available in Table I.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hatw-7gqy",
      "contactPoint": [
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          "fn": "CC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "all serogroups",
        "netss",
        "nedss",
        "mumps",
        "mmwr",
        "meningococcal disease (neisseria meningitidis)",
        "nndss",
        "pertussis",
        "wonder",
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      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hatw-7gqy/export.csv?accessType=DOWNLOAD",
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          "accessURL": "https://data.cdc.gov/d/hatw-7gqy",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hatw-7gqy/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hatw-7gqy",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Meningococcal to Pertussis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hatw-7gqy",
        "description": "NNDSS - Table II. Meningococcal to Pertussis - Dataset Home",
        "issued": "2018-01-04",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
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      "programCode": [
        "009:020"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 3 - Philadelphia",
      "description": "Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hauf-e9a4",
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      "keyword": [
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      "modified": "2026-09-08",
      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/hauf-e9a4",
          "mediaType": "application/json",
          "modified": "2026-09-08",
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          "accessURL": "https://data.cdc.gov/d/hauf-e9a4",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hauf-e9a4/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hauf-e9a4",
          "mediaType": "application/geo+json",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hauf-e9a4/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hauf-e9a4",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hauf-e9a4/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hauf-e9a4",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-08"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 3 - Philadelphia - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hauf-e9a4",
        "description": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 3 - Philadelphia - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
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          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B",
      "description": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hbbg-vj7f",
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nedss",
        "netss",
        "nndss",
        "serogroup b",
        "meningococcal disease",
        "wonder",
        "2021",
        "all serogroups",
        "serogroups acwy"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hbbg-vj7f/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hbbg-vj7f",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hbbg-vj7f/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hbbg-vj7f",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/api/views/hbbg-vj7f/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hbbg-vj7f/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hbbg-vj7f",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hbbg-vj7f/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hbbg-vj7f/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hbbg-vj7f",
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        },
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          "mediaType": "application/vnd.google-earth.kml+xml",
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        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hbbg-vj7f/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hbbg-vj7f",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hbbg-vj7f",
        "description": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
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        ]
      },
      "bureauCode": [
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      ],
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Place Data (GIS Friendly Format), 2024 release",
      "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia —at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population estimates, and American Community Survey (ACS) 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the 2020 Census place boundary file in a GIS system to produce maps for 40 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hbpe-6r8n",
      "contactPoint": [
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          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "risk",
        "disability",
        "gis",
        "outcomes",
        "health",
        "prevention",
        "prevalence",
        "places",
        "place",
        "status",
        "city",
        "behaviors"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hbpe-6r8n/export.csv?accessType=DOWNLOAD",
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        },
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          "accessURL": "https://data.cdc.gov/d/hbpe-6r8n",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hbpe-6r8n/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hbpe-6r8n/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hbpe-6r8n",
          "mediaType": "application/xml",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hbpe-6r8n/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hbpe-6r8n",
          "mediaType": "application/geo+json",
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        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hbpe-6r8n/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hbpe-6r8n",
          "mediaType": "application/vnd.google-earth.kml+xml",
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        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hbpe-6r8n/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hbpe-6r8n",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Place Data (GIS Friendly Format), 2024 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hbpe-6r8n",
        "description": "PLACES: Place Data (GIS Friendly Format), 2024 release - Dataset Home",
        "issued": "2025-12-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
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      ],
      "programCode": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/hc4f-j6nb",
      "identifier": "https://data.cdc.gov/api/views/hc4f-j6nb",
      "title": "Provisional Death Counts for Coronavirus Disease (COVID-19)",
      "description": "This dataset is no longer updated.  Please see the following datasets for recent data:\n\nProvisional COVID-19 Deaths by Week (https://data.cdc.gov/dataset/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab/)\n\nProvisional COVID-19 Deaths by Sex, Age, and State (https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Sex-Age-and-S/9bhg-hcku)",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Provisional Death Counts for Coronavirus Disease (COVID-19)",
          "description": "This dataset is no longer updated. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/hc4f-j6nb",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Provisional Death Counts for Coronavirus Disease (COVID-19)",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Resolution of Pulmonary Inflammation Induced by Carbon Nanotubes and Fullerenes in Mice: Role of Macrophage Polarization",
      "description": "Exposure to certain engineered nanomaterials (ENMs) causes chronic lesions like lung fibrosis and cancer as a result of unresolved inflammation. Elucidating how ENM-induced inflammation is resolved is necessary for better evaluation of the fibrogenic and tumorigenic potentials of ENMs. This study aimed to identify pro-resolving mechanisms by analyzing the inflammatory and fibrogenic responses to multi-walled carbon nanotubes (MWCNTs, Mitsui-7) and fullerenes (fullerene C60, C60F) in B6C3F1 mice. The findings reveal that MWCNTs at a low dose (40 µg/mouse) and C60F at a high dose (>480 mg/mouse) stimulated acute neutrophilic inflammation, which exhibited rapid initiation and extended resolution. The lesion in MWCNT-exposed mice progressed to fibrotic granulomas by day 28 post-exposure, whereas it remained as alveolar histiocytosis in C60F-exposed mice. The ENMs induced high levels of proinflammatory lipid mediators leukotriene B4 (LTB4) and prostaglandin E2 (PGE2) with peaks at day 1, and high levels of special",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hcxx-dqtx",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Research, Toxicology and Molecular Biology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/hcxx-dqtx/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/hcxx-dqtx",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Resolution of Pulmonary Inflammation Induced by Carbon Nanotubes and Fullerenes in Mice: Role of Macrophage Polarization - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hcxx-dqtx",
        "description": "Resolution of Pulmonary Inflammation Induced by Carbon Nanotubes and Fullerenes in Mice: Role of Macrophage Polarization - Dataset Home",
        "issued": "2024-11-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/hdja-ybdg",
      "identifier": "https://data.cdc.gov/api/views/hdja-ybdg",
      "title": "DQS Medicaid coverage among persons under age 65, by selected characteristics: United States (Archived)",
      "description": "This topic is no longer available in the NCHS Data Query System (DQS). Data on Medicaid coverage among people under age 65, in the United States, by selected population characteristics. Data from Health, United States. SOURCE: National Center for Health Statistics, National Health Interview Survey.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Medicaid coverage among persons under age 65, by selected characteristics: United States (Archived)",
          "description": "This topic is no longer available in the NCHS Data Query System (DQS). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/hdja-ybdg",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Medicaid coverage among persons under age 65, by selected characteristics: United States (Archived)",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/hdy7-e2a3",
      "identifier": "https://data.cdc.gov/api/views/hdy7-e2a3",
      "title": "NCHS - Pregnancy Rates, by Age for Hispanic Women: United States, 1990-2010",
      "description": "https://www.cdc.gov/nchs/data-visualization/natality-trends/index.htm",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:births@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Pregnancy Rates, by Age for Hispanic Women: United States, 1990-2010",
          "description": "https://www.cdc.gov/nchs/data-visualization/natality-trends/index.htm. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/hdy7-e2a3",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Pregnancy Rates, by Age for Hispanic Women: United States, 1990-2010",
        "accessURL": "https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, Adults 60 to 74 Years and 75 years and older, United States",
      "description": "•Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, Adults 60 to 74 Years and 75 Years and Older, United States  \n\n• Estimated Number of RSV vaccinations among adults 60 years and older is assessed through IQVIA (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hea5-6w9c",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "nis-acm",
        "vsd",
        "rsv vaccination",
        "iqvia",
        "iis"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hea5-6w9c/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hea5-6w9c",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hea5-6w9c/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hea5-6w9c",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hea5-6w9c/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hea5-6w9c",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hea5-6w9c/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, Adults 60 to 74 Years and 75 years and older, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hea5-6w9c",
        "description": "Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, Adults 60 to 74 Years and 75 years and older, United States - Dataset Home",
        "issued": "2025-01-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National"
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      "license": "https://www.usa.gov/government-works",
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        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Daily Census Tract-Level Ozone Concentrations, 2016 - 2020",
      "description": "This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2016-2020. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information. Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action. By using these data, you signify your agreement to comply with the following requirements: 1. Use the data for statistical reporting and analysis only. 2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network.Web. Accessed: insert date. www.cdc.gov/ephtracking.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hf2a-3ebq",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Craig Kassinger",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/4zyv-yjue",
        "@type": "Organization",
        "name": "cak8@cdc.gov"
      },
      "keyword": [
        "asthma",
        "environmental health",
        "national ambient air quality standards",
        "ozone",
        "national environmental health tracking network",
        "air pollution",
        "air quality"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hf2a-3ebq/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hf2a-3ebq",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hf2a-3ebq/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hf2a-3ebq",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hf2a-3ebq/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hf2a-3ebq/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hf2a-3ebq",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hf2a-3ebq/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Daily Census Tract-Level Ozone Concentrations, 2016 - 2020 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hf2a-3ebq",
        "description": "Daily Census Tract-Level Ozone Concentrations, 2016 - 2020 - Dataset Home",
        "issued": "2023-09-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/4zyv-yjue",
            "@type": "Organization",
            "name": "cak8@cdc.gov"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "National"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 2 - New York",
      "description": "Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hget-9fst",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "centers for disease control and prevention",
        "cdc"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hget-9fst/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hget-9fst",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hget-9fst/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hget-9fst",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hget-9fst/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hget-9fst/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hget-9fst",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hget-9fst/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hget-9fst",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hget-9fst/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hget-9fst",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hget-9fst/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hget-9fst",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 2 - New York - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hget-9fst",
        "description": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 2 - New York - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC STATE System Tobacco Legislation - Youth Access",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Youth Access. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to restrictions, enforcement and penalties associated with the sale of cigarettes to youth through retail sales and vending machines.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hgv5-3wrn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "policy",
        "osh",
        "youth access",
        "tobacco",
        "state system",
        "legislation"
      ],
      "modified": "2026-09-23",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Youth-Access/hgv5-3wrn"
      },
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hgv5-3wrn/export.csv?accessType=DOWNLOAD",
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        },
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          "accessURL": "https://data.cdc.gov/d/hgv5-3wrn",
          "mediaType": "application/json",
          "modified": "2026-09-23",
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            "accessURL": "https://data.cdc.gov/api/views/hgv5-3wrn/columns.json",
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          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hgv5-3wrn/query.xml?accessType=DOWNLOAD",
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          "accessURL": "https://data.cdc.gov/d/hgv5-3wrn",
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        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hgv5-3wrn/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hgv5-3wrn",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC STATE System Tobacco Legislation - Youth Access - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hgv5-3wrn",
        "description": "CDC STATE System Tobacco Legislation - Youth Access - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Community Water Fluoridation – State and County Level Statistics",
      "description": "State, 2016 –2020; County, 2020. The report includes both state and county level water fluoridation data generated from the Water Fluoridation Reporting System (WFRS). State level statistics include data from the biennial report originally published at https://www.cdc.gov/fluoridation/statistics/reference_stats.htm. State and county data include percentage of people, number of people, and number of water systems receiving fluoridated water. County level data is not displayed for all states. Participation in sharing county level data is voluntary and state programs determine if data will be shown.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hgyx-uuxz",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Oral Health Inquiries",
          "hasEmail": "mailto:oralhealth@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "oral health",
        "fluoridation",
        "county level",
        "wfrs",
        "state level",
        "community water fluoridation"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hgyx-uuxz/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hgyx-uuxz",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hgyx-uuxz/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hgyx-uuxz",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hgyx-uuxz/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hgyx-uuxz",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hgyx-uuxz/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Community Water Fluoridation – State and County Level Statistics - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hgyx-uuxz",
        "description": "Community Water Fluoridation – State and County Level Statistics - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Reduction of exposure to simulated respiratory aerosols using ventilation, physical distancing, and universal masking",
      "description": "The association between human respiratory disease transmission by respiratory droplets and aerosols is well established for several known pathogens.1 Given that the average individual spends > 90% of their day indoors, there has been intense focus on factors associated with indoor transmission. To minimize exposure risks, the Centers for Disease Control and Prevention (CDC) recommends behavioral and personal protective equipment mitigation strategies to limit COVID-19 transmission, including wearing masks, maintaining physical distances of  ≥ 1.8 m, and avoiding crowded indoor and outdoor spaces. As such, the current investigation examines the combined effect of physical distancing, universal masking, and ventilation on exposure to airborne particles generated during breathing and coughing within a controlled indoor environment. The results of this investigation quantitatively examine the contribution of the matrix of controls employed and provides guidance on respiratory disease mitigation strategies within the indoor environment.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hh8a-ys2f",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Allergy and Clinical Immunology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/hh8a-ys2f/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/hh8a-ys2f",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Reduction of exposure to simulated respiratory aerosols using ventilation, physical distancing, and universal masking - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hh8a-ys2f",
        "description": "Reduction of exposure to simulated respiratory aerosols using ventilation, physical distancing, and universal masking - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Healthy People 2020 Tobacco Use Objectives",
      "description": "U.S. Department of Health and Human Services (HHS). Centers for Disease Control and Prevention (CDC). Healthy People 2020 Tobacco Use Objectives. Healthy People 2020. Healthy People 2020 provides a framework for action to reduce tobacco use to the point that it is no longer a public health problem for the Nation. This dataset includes information related to the Healthy People 2020 Tobacco Use objectives, operational definitions, baselines, and targets. Baseline years may vary by objective. Targets represented correspond to the year 2020.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hhew-mxbt",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p8jp-5dj6",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "office on smoking and health",
        "osh",
        "centers for disease control and prevention",
        "leading health indicator",
        "healthy people 2020",
        "department of health and human services"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Healthy-People-2020/Healthy-People-2020-Tobacco-Use-Objectives/hhew-mxbt"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hhew-mxbt/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hhew-mxbt",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hhew-mxbt/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hhew-mxbt",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hhew-mxbt/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hhew-mxbt/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hhew-mxbt",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hhew-mxbt/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Healthy People 2020 Tobacco Use Objectives - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hhew-mxbt",
        "description": "Healthy People 2020 Tobacco Use Objectives - Dataset Home",
        "issued": "2017-08-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p8jp-5dj6",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Examination of SARS-CoV-2 serological test results from multiple commercial and laboratory platforms with an in-house serum panel",
      "description": "Severe acute respiratory syndrome (SARS) coronavirus 2 (SARS-CoV-2) is a novel human coronavirus that was identified in 2019. SARS-CoV-2 infection results in an acute, severe respiratory disease called coronavirus disease 2019 (COVID-19).  The emergence and rapid spread of SARS-CoV-2 has led to a global public health crisis, which continues to affect populations across the globe. Real time reverse transcription polymerase chain reaction (rRT-PCR) is the reference standard test for COVID-19 diagnosis. Serological tests are valuable tools for serosurveillance programs and establishing correlates of protection from disease. This study evaluated the performance of one in-house enzyme linked immunosorbent assay (ELISA) utilizing the pre-fusion stabilized ectodomain of SARS-CoV-2 spike (S), two commercially available chemiluminescence assays Ortho VITROS Immunodiagnostic Products Anti-SARS-CoV-2 Total Reagent Pack and Abbott SARS-CoV-2 IgG assay and one commercially available Surrogate Virus Neutralization Test (sVNT), GenScript USA Inc., cPass SARS-CoV-2 Neutralization Antibody Detection Kit for the detection of SARS-CoV-2 specific antibodies.  Using a panel of rRT-PCR confirmed COVID-19 patients’ sera and a negative control group as a reference standard, all three immunoassays demonstrated high comparable positivity rates and low discordant rates.  All three immunoassays were highly sensitive with estimated sensitivities ranging from 95.4%-96.6%. ROC curve analysis indicated that all three immunoassays had high diagnostic accuracies with area under the curve (AUC) values ranging from 0.9698-0.9807. High positive correlation was demonstrated among the conventional microneutralization test (MNT) titers and the sVNT inhibition percent values.  Our study indicates that independent evaluations are necessary to optimize the overall utility and the interpretation of the results of serological tests.  Overall, we demonstrate that all serological tests evaluated in this study are suitable for the detection of SARS-CoV-2 antibodies.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hhvg-83jq",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC-INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "NCIRD-CORVD"
      },
      "keyword": [
        "serological tests",
        "immunoassays",
        "antibodies",
        "covid-19",
        "ncird-corvd",
        "sars-cov-2",
        "neutralization assay"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hhvg-83jq/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hhvg-83jq",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hhvg-83jq/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hhvg-83jq",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hhvg-83jq/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hhvg-83jq/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hhvg-83jq",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hhvg-83jq/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Examination of SARS-CoV-2 serological test results from multiple commercial and laboratory platforms with an in-house serum panel - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hhvg-83jq",
        "description": "Examination of SARS-CoV-2 serological test results from multiple commercial and laboratory platforms with an in-house serum panel - Dataset Home",
        "issued": "2023-12-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "NCIRD-CORVD"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC STATE System Tobacco Legislation - Preemption Summary",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation - Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to summary state preemption of more stringent or differing local laws on smokefree indoor air, youth access and licensure.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hj2x-85ya",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "osh",
        "legislation",
        "tobacco",
        "preemption",
        "policy",
        "state system"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Preemption-Su/hj2x-85ya"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hj2x-85ya/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hj2x-85ya",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hj2x-85ya/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hj2x-85ya",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hj2x-85ya/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hj2x-85ya/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hj2x-85ya",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hj2x-85ya/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hj2x-85ya/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hj2x-85ya",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hj2x-85ya/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hj2x-85ya",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hj2x-85ya/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hj2x-85ya",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC STATE System Tobacco Legislation - Preemption Summary - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hj2x-85ya",
        "description": "CDC STATE System Tobacco Legislation - Preemption Summary - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1V. Malaria to Measles, Imported",
      "description": "NNDSS - TABLE 1V. Malaria to Measles, Imported - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hjax-h34q",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "wonder",
        "netss",
        "nedss",
        "measles indigenous",
        "measles imported",
        "malaria",
        "2019",
        "nndss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hjax-h34q/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hjax-h34q",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hjax-h34q/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hjax-h34q",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hjax-h34q/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hjax-h34q/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hjax-h34q",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hjax-h34q/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1V. Malaria to Measles, Imported - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hjax-h34q",
        "description": "NNDSS - TABLE 1V. Malaria to Measles, Imported - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2011 (Part 4 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 12 of 48 and corresponds to the time range between January 24, 2011, and January 31, 2011.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hjcs-gxkz",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/hjcs-gxkz/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/hjcs-gxkz",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 4 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hjcs-gxkz",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 4 of 19) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/hk9y-quqm",
      "identifier": "https://data.cdc.gov/api/views/hk9y-quqm",
      "title": "Conditions Contributing to COVID-19 Deaths, by State and Age, Provisional 2020-2023",
      "description": "Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nThis dataset shows health conditions and contributing causes mentioned in conjunction with deaths involving coronavirus disease 2019 (COVID-19) by age group and jurisdiction of occurrence.\n\n2022 and 2023 data are provisional. Estimates for 2020 and 2021 are based on final data.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Conditions Contributing to COVID-19 Deaths, by State and Age, Provisional 2020-2023",
          "description": "Effective September 27, 2023, this dataset will no longer be updated. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/hk9y-quqm",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Conditions Contributing to COVID-19 Deaths, by State and Age, Provisional 2020-2023",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/hkhc-f7hg",
      "identifier": "https://data.cdc.gov/api/views/hkhc-f7hg",
      "title": "Provisional COVID-19 Deaths by Week and Urbanicity",
      "description": "Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nProvisional COVID-19 deaths by urbanicity and week. Deaths are based on the county of occurrence in the United States. Urbanicity is defined as metropolitan and non-metropolitan, based on the 2013 National Center for Health Statistics (NCHS) Urban-Rural Classification Scheme for Counties. Counties are classified as “metropolitan” if they are large central metro, large fringe metro, medium metro or small metro; and “non-metropolitan” if micropolitan or non-core.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Provisional COVID-19 Deaths by Week and Urbanicity",
          "description": "Effective September 27, 2023, this dataset will no longer be updated. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/hkhc-f7hg",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Provisional COVID-19 Deaths by Week and Urbanicity",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis",
      "description": "NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hkr7-mcee",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "arboviral diseases",
        "2021",
        "western equine encephalitis virus disease",
        "wonder",
        "nndss",
        "babesiosis",
        "netss",
        "nedss"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hkr7-mcee/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hkr7-mcee",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hkr7-mcee/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hkr7-mcee",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hkr7-mcee/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hkr7-mcee/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hkr7-mcee",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hkr7-mcee/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hkr7-mcee/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hkr7-mcee",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hkr7-mcee/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hkr7-mcee",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hkr7-mcee/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hkr7-mcee",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hkr7-mcee",
        "description": "NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "U.S. Chronic Disease Indicators",
      "description": "CDC's Division of Population Health provides a cross-cutting set of 115 indicators developed by consensus among CDC, the Council of State and Territorial Epidemiologists, and the National Association of Chronic Disease Directors.  These indicators allow states and territories to uniformly define, collect, and report chronic disease data that are important to public health practice in their area. In addition to providing access to state-specific indicator data, the CDI web site serves as a gateway to additional information and data resources.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hksd-2xuw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC Info",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "tobacco",
        "copd",
        "cancer",
        "asthma",
        "arthritis",
        "alcohol",
        "diabetes"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hksd-2xuw/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hksd-2xuw",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hksd-2xuw/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hksd-2xuw",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hksd-2xuw/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hksd-2xuw/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hksd-2xuw",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hksd-2xuw/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hksd-2xuw/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hksd-2xuw",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hksd-2xuw/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hksd-2xuw",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hksd-2xuw/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hksd-2xuw",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "U.S. Chronic Disease Indicators - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hksd-2xuw",
        "description": "U.S. Chronic Disease Indicators - Dataset Home",
        "issued": "2023-11-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/odbl/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Census Tract Data (GIS Friendly Format), 2023 release",
      "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 36 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hky2-3tpn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "disability",
        "census tract",
        "behaviors",
        "prevalence",
        "prevention",
        "gis",
        "health",
        "outcomes",
        "places",
        "risk",
        "status"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Census-Tract-Data-GIS-Friendly-Format-2020-/yjkw-uj5s"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hky2-3tpn/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hky2-3tpn",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hky2-3tpn/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hky2-3tpn",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hky2-3tpn/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hky2-3tpn/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hky2-3tpn",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hky2-3tpn/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hky2-3tpn/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hky2-3tpn",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hky2-3tpn/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hky2-3tpn",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hky2-3tpn/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hky2-3tpn",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Census Tract Data (GIS Friendly Format), 2023 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hky2-3tpn",
        "description": "PLACES: Census Tract Data (GIS Friendly Format), 2023 release - Dataset Home",
        "issued": "2024-07-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "U.S. State and Territorial Stay-At-Home Orders: March 15, 2020 – May 31, 2021 by County by Day",
      "description": "State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when individuals in states and territories were subject to executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require or recommend people stay in their homes. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.\n\nThese data are derived from the publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require or recommend individuals stay at home found by the CDC, COVID-19 Community Intervention and At-Risk Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 15, 2020 through May 31, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. These data do not include mandatory business closures, curfews, or limitations on public or private gatherings. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hm3s-vk7u",
      "contactPoint": [
        {
          "@type": "Kind",
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        "public health order",
        "mitigation",
        "legal epidemiology",
        "government order",
        "executive order",
        "covid-19",
        "stay-at-home",
        "social distancing",
        "shelter-in-place",
        "proclamation"
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      "modified": "2026-09-10",
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      "landingPage": {
        "@type": "Document",
        "title": "U.S. State and Territorial Stay-At-Home Orders: March 15, 2020 – May 31, 2021 by County by Day - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hm3s-vk7u",
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    },
    {
      "@type": "Dataset",
      "title": "Preliminary Estimates of Cumulative RSV Hospitalizations by Week",
      "description": "This dataset represents preliminary weekly estimates of cumulative U.S. RSV hospitalizations since the start of the 2024 respiratory season. Estimates are preliminary, and use reported weekly hospitalizations among people with a laboratory-confirmed respiratory syncytial virus (RSV) infection. The data are updated weekly as new RSV hospitalizations are reported to CDC from the RSV-NET surveillance system and include both new admissions that occurred during the reporting week, as well as those admitted in previous weeks that may not have been included in earlier reporting. Each week CDC estimates a range (i.e., a lower estimate and an upper estimate) of RSV hospitalizations that have occurred since the start of respiratory season. For details, please refer to the publications [1, 8].   \n\n<b>Note:</b> Data are preliminary and subject to change as updated data become available. Rates for recent RSV hospital admissions are subject to reporting delays; as new data are received each week, previous rates are updated accordingly. \n\n<b>Note:</b> Preliminary burden estimates are not inclusive of data from all RSV-NET sites. Due to model limitations, sites with small sample sizes can impact estimates in unpredictable ways and are excluded for the benefit of model stability. CDC is working to address model limitations and include data from all sites in final burden estimates. The methodology used for RSV burden estimation between the surveillance periods was updated to account for inclusion of additional surveillance sites, seasonal changes to adjustment factors, revised outpatient visits and death multiplier ratios, and improvements in estimation methods.    \n\n<b>References</b>\n1. Koumans EHA, Khan D, Trejo I, et al; Estimate of Burden of COVID-19 Workgroup. Estimated burden of COVID-19 illnesses, medical visits, hospitalizations, and deaths in the US from October 2022 to September 2024. JAMA Intern Med. Published online January 5, 2026. <a href=\"https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2843383#250739811\">Estimated Burden of COVID-19 Illnesses, Medical Visits, Hospitalizations, and Deaths in the US From October 2022 to September 2024 | Coronavirus (COVID-19) | JAMA Internal Medicine | JAMA Network</a><br>2. Reed C, Chaves SS, Daily Kirley P, et al. Estimating influenza disease burden from population-based surveillance data in the United States. PLoS One. 2015;10(3):e0118369. <a href=\"https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0118369\">Estimating Influenza Disease Burden from Population-Based Surveillance Data in the United States | PLOS One</a><br>3. Rolfes, MA, Foppa, IM, Garg, S, et al. Annual estimates of the burden of seasonal influenza in the United States: A tool for strengthening influenza surveillance and preparedness. Influenza Other Respi Viruses. 2018; 12: 132– 137. <a href=\"https://doi.org/10.1111/irv.12486\">https://doi.org/10.1111/irv.12486</a><br>4. Tokars JI, Rolfes MA, Foppa  IM, Reed C.  An evaluation and update of methods for estimating the number of influenza cases averted by vaccination in the United States. Vaccine. 2018;36(48):7331-7337. doi:10.1016/j.vaccine.2018.10.026 <br>5. Collier SA, Deng L, Adam EA, Benedict KM, Beshearse EM, Blackstock AJ, Bruce BB, Derado G, Edens C, Fullerton KE, Gargano JW, Geissler AL, Hall AJ, Havelaar AH, Hill VR, Hoekstra RM, Reddy SC, Scallan E, Stokes EK, Yoder JS, Beach MJ. Estimate of Burden and Direct Healthcare Cost of Infectious Waterborne Disease in the United States. Emerg Infect Dis. 2021 Jan;27(1):140-149. doi: 10.3201/eid2701.190676. PMID: 33350905; PMCID: PMC7774540. <br>6. Reed C, Kim IK, Singleton JA,  et al. Estimated influenza illnesses and hospitalizations averted by vaccination–United States, 2013-14 influenza season. MMWR Morb Mortal Wkly Rep. 2014 Dec 12;63(49):1151-4. https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6349a2.htm <br>7. Reed C, Angulo FJ, Swerdlow DL, et al. Estimates of the Prevalence of Pandemic (H1N1) 20",
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        "title": "Preliminary Estimates of Cumulative RSV Hospitalizations by Week - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hmye-mqgq",
        "description": "Preliminary Estimates of Cumulative RSV Hospitalizations by Week - Dataset Home",
        "issued": "2024-10-04",
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      "title": "VSRR - State and National Provisional Counts for Live Births, Deaths, and Infant Deaths",
      "description": "NOTES: Figures include all revisions received from the states and, therefore, may differ from those previously published. Data are provisional and are subject to monthly reporting variation. National data are calculated by summing the number of events reported by state of residence; counts are rounded to the nearest thousand (births and deaths) or hundred (infant deaths). Provisional counts may differ by approximately 2% from final counts, due to rounding and reporting variation. Additionally, the accuracy of the provisional counts may change over time. Data are estimates by state of residence. For discussion of the nature, source, and limitations of the data, see \"Technical Notes\" of the report, Births, Marriages, Divorces, and Deaths: Provisional Data for 2009. Available from URL: http://www.cdc.gov/nchs/data/nvsr/nvsr58/nvsr58_25.htm. Final counts of births, deaths, and infant deaths for previous years can be obtained from http://wonder.cdc.gov.\n\nSOURCE: Provisional data from the National Vital Statistics System, National Center for Health Statistics, CDC.",
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          "description": "NOTES: Figures include all revisions received from the states and, therefore, may differ from those previously published. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
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          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "VSRR - State and National Provisional Counts for Live Births, Deaths, and Infant Deaths",
        "accessURL": "https://www.cdc.gov/nchs/nvss/vsrr/provisional-tables.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Nutrition, Physical Activity, and Obesity - Behavioral Risk Factor Surveillance System",
      "description": "This dataset includes data on adult's diet, physical activity, and weight status from Behavioral Risk Factor Surveillance System. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding.",
      "accessLevel": "public",
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          "fn": "DNPAO Public Inquiries",
          "hasEmail": "mailto:dnpaoinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/8kpq-utgy",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
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        "overweight",
        "vegetables",
        "walking",
        "adults",
        "brfss",
        "dnpao",
        "fruit",
        "nutrition",
        "obesity",
        "physical activity"
      ],
      "modified": "2026-09-23",
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          "accessURL": "https://data.cdc.gov/d/hn4x-zwk7",
          "mediaType": "application/json",
          "modified": "2026-09-23",
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            "title": "Columns for this asset"
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        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hn4x-zwk7/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hn4x-zwk7",
          "mediaType": "application/xml",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hn4x-zwk7/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hn4x-zwk7",
          "mediaType": "application/geo+json",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hn4x-zwk7/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hn4x-zwk7",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hn4x-zwk7/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hn4x-zwk7",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Nutrition, Physical Activity, and Obesity - Behavioral Risk Factor Surveillance System - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hn4x-zwk7",
        "description": "Nutrition, Physical Activity, and Obesity - Behavioral Risk Factor Surveillance System - Dataset Home",
        "issued": "2025-01-30",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/8kpq-utgy",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
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        "009:20"
      ],
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "YRBS State Tobacco Variables  2013 - v2",
      "description": "The Youth Risk Behavior Surveillance System (YRBSS) monitors six types of health-risk behaviors that contribute to the leading causes of death and disability among youth and adults. This file contains state-level results for 13 tobacco-use variables by sex and grade for 2013.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hp6w-4ap6",
      "contactPoint": [
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          "fn": "CDC INFO",
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      "publisher": {
        "@id": "https://data.cdc.gov/user/dkcy-nncv",
        "@type": "Organization",
        "name": "Steve Kinchen"
      },
      "keyword": [
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      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hp6w-4ap6/export.csv?accessType=DOWNLOAD",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hp6w-4ap6/query.json?accessType=DOWNLOAD",
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          "accessURL": "https://data.cdc.gov/d/hp6w-4ap6",
          "mediaType": "application/xml",
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            "title": "Columns for this asset"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "YRBS State Tobacco Variables  2013 - v2 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hp6w-4ap6",
        "description": "YRBS State Tobacco Variables  2013 - v2 - Dataset Home",
        "issued": "2015-06-08",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/dkcy-nncv",
            "@type": "Organization",
            "name": "Steve Kinchen"
          }
        ]
      },
      "bureauCode": [
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      "programCode": [
        "009:020"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Weekly Cases and Deaths by Age, Race/Ethnicity, and Sex - ARCHIVED",
      "description": "<b>Note:</b>\nAuthorizations to collect certain public health data expired at the end of the U.S. public health emergency declaration on May 11, 2023. The following jurisdictions discontinued COVID-19 case notifications to CDC: Iowa (11/8/21), Kansas (5/12/23), Louisiana (10/31/23), New Hampshire (5/23/23), and Oklahoma (5/2/23). Please note that these jurisdictions will not routinely send new case data after the dates indicated. As of 7/13/23, case notifications from Oregon will only include pediatric cases resulting in death.\n\n\nThis table summarizes COVID-19 case and death data submitted to CDC as case reports for the line-level dataset. Case and death counts are stratified according to sex, age, and race and ethnicity at regional and national levels. Data for US territories are included in case and death counts, but not population counts. Weekly cumulative counts with five or fewer cases or deaths are not reported to protect confidentiality of patients. Records with unknown or missing sex, age, or race and ethnicity and of multiple, non-Hispanic race and ethnicity are included in case and death totals. COVID-19 case and death data are provisional and are subject to change. Visualization of COVID-19 case and death rate trends by demographic variables may be viewed on COVID Data Tracker (<a href=\"https://covid.cdc.gov/covid-data-tracker/#demographicsovertime\">https://covid.cdc.gov/covid-data-tracker/#demographicsovertime</a>).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hrdz-jaxc",
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          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
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        "case",
        "community transmission",
        "county",
        "covid-19",
        "laboratory",
        "ncird-corvd"
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          "accessURL": "https://data.cdc.gov/d/hrdz-jaxc",
          "mediaType": "application/json",
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            "title": "Columns for this asset"
          }
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hrdz-jaxc/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hrdz-jaxc",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19 Weekly Cases and Deaths by Age, Race/Ethnicity, and Sex - ARCHIVED - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hrdz-jaxc",
        "description": "COVID-19 Weekly Cases and Deaths by Age, Race/Ethnicity, and Sex - ARCHIVED - Dataset Home",
        "issued": "2023-06-15",
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      "spatial": {
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        "prefLabel": "US"
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      "temporal": [
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          "startDate": "2020-03-01",
          "endDate": "2023-11-24"
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection)",
      "description": "NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ In previous years, cases were reported as Salmonellosis. Beginning in January 2019, cases began to be reported as Salmonella Paratyphi infection.\r\n¶ In previous years, cases were reported as typhoid fever. Beginning in January 2019, cases began to be reported as Salmonella Typhi infection.\r\n** In previous years, cases were reported as Salmonellosis (excluding paratyphoid fever and typhoid fever). Beginning in January 2019, cases began to be reported as Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hs59-amfp",
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        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
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        "2019",
        "nndss",
        "wonder",
        "salmonella typhi infection",
        "salmonella paratyphi infection",
        "salmonellosis (excluding salmonella typhi infection and salmonella paratyphi infection)",
        "netss"
      ],
      "modified": "2026-09-09",
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          "accessURL": "https://data.cdc.gov/d/hs59-amfp",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
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          "downloadURL": "https://data.cdc.gov/api/v3/views/hs59-amfp/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hs59-amfp",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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        "@type": "Document",
        "title": "NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hs59-amfp",
        "description": "NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome",
      "description": "NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome  - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ht29-hwxw",
      "contactPoint": [
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "netss",
        "nedss",
        "nndss",
        "2019",
        "wonder",
        "rubella",
        "rubella congenital syndrome"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "mediaType": "text/csv",
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          "mediaType": "application/json",
          "modified": "2026-09-10",
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          "accessURL": "https://data.cdc.gov/d/ht29-hwxw",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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          }
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ht29-hwxw",
        "description": "NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
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      "bureauCode": [
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      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Updated Vaccines Distributed",
      "description": "This site provides historical data beginning June 14, 2023, for the visualization presented on <a href=\"https://covid.cdc.gov/covid-data-tracker/#vaccinations\">COVID-19 Data Tracker’s “Vaccinations in the United States\" </a> site titled “US COVID-19 Vaccine Doses Delivered by Vaccine Type”\n\n<b>Definition for Distributed: </b>\nCumulative number of COVID-19 updated vaccine doses distributed in the United States.\nCDC is no longer reporting metrics for Johnson & Johnson, and the original Pfizer and Moderna vaccines.\n\nData represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hwk8-wu83",
      "contactPoint": [
        {
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          "fn": "NCIRD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/3suw-ciyu",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
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        "vaccination",
        "administration",
        "coronavirus",
        "covid-19",
        "immunization",
        "izdl"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hwk8-wu83/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hwk8-wu83",
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          "modified": "2026-09-22"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hwk8-wu83/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hwk8-wu83",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/hwk8-wu83/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hwk8-wu83/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hwk8-wu83",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19 Updated Vaccines Distributed - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hwk8-wu83",
        "description": "COVID-19 Updated Vaccines Distributed - Dataset Home",
        "issued": "2023-06-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/3suw-ciyu",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-12-13",
          "endDate": "2023-10-14"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Salmonellosis to Shigellosis",
      "description": "NNDSS - Table II. Salmonellosis to Shigellosis - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n$ Includes E. coli O157:H7, Shiga toxin-positive, serogroup non-O157, and Shiga toxin-positive, not serogrouped.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hwyq-75wu",
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
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        "wonder",
        "stec",
        "shigellosis",
        "shiga toxin-producing e. coli",
        "salmonellosis",
        "nndss",
        "netss",
        "nedss",
        "mmwr"
      ],
      "modified": "2026-09-09",
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        },
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            "title": "Columns for this asset"
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          "accessURL": "https://data.cdc.gov/d/hwyq-75wu",
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Salmonellosis to Shigellosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hwyq-75wu",
        "description": "NNDSS - Table II. Salmonellosis to Shigellosis - Dataset Home",
        "issued": "2018-01-04",
        "publisher": [
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            "@type": "Organization",
            "name": "wja0@cdc.gov"
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      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection",
      "description": "NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC.",
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      "identifier": "https://data.cdc.gov/api/views/hwyy-s2tt",
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
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        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
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        "carbapenemase-producing carbapenem-resistant enterobacteriaceae",
        "nedss",
        "netss",
        "2021",
        "wonder",
        "nndss",
        "chancroid"
      ],
      "modified": "2026-09-09",
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          "modified": "2026-09-09"
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          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hwyy-s2tt",
        "description": "NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chlamydia trachomatis infection - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "A model for detecting the effects of vibration on peripheral blood flow",
      "description": "Exposure to hand-transmitted vibration (HTV) has been shown to result in cold-induced vasoconstriction and a reduction in blood flow to the hands and fingers of workers. Occupational exposure to HTV can also induce a hypersensitivity of the sympathetic nervous system to various stimuli, which in turn can result in vasoconstriction of the peripheral blood vessels and blanching of the skin because of reductions in peripheral blood flow. The data presented were collected using an established animal model of vibration-induced white finger (Welcome et al. 2008) to determine if changes in blood flow induced by vibration exposure could be used as a biomarker for the development of vibration-induced peripheral vascular disease. Two separate experiments were done. In Experiment 1, changes in blood flow were measured in the ventral tail artery of the rat tail before and after a 4 h exposure to tail vibration (frequency 125 Hz, amplitude 5 g). These data were compared with those of animals that were restrained and had t",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hyai-856q",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory, Research Pathology and Physiology Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/hyai-856q/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/hyai-856q",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "A model for detecting the effects of vibration on peripheral blood flow - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hyai-856q",
        "description": "A model for detecting the effects of vibration on peripheral blood flow - Dataset Home",
        "issued": "2024-11-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1II. Tetanus to Trichinellosis",
      "description": "NNDSS - TABLE 1II. Tetanus to Trichinellosis – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/hyak-nxqs",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "netss",
        "nedss",
        "2022",
        "wonder",
        "trichinellosis",
        "toxic shock syndrome (other than streptococcal)",
        "tetanus",
        "nndss"
      ],
      "modified": "2026-09-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hyak-nxqs/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hyak-nxqs",
          "mediaType": "text/csv",
          "modified": "2026-09-08"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hyak-nxqs/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hyak-nxqs",
          "mediaType": "application/json",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/hyak-nxqs/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hyak-nxqs/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hyak-nxqs",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
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            "accessURL": "https://data.cdc.gov/api/views/hyak-nxqs/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hyak-nxqs/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hyak-nxqs",
          "mediaType": "application/geo+json",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hyak-nxqs/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hyak-nxqs",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/hyak-nxqs/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/hyak-nxqs",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-08"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1II. Tetanus to Trichinellosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/hyak-nxqs",
        "description": "NNDSS - TABLE 1II. Tetanus to Trichinellosis - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/hzd8-r9mj",
      "identifier": "https://data.cdc.gov/api/views/hzd8-r9mj",
      "title": "NCHS - Percent Distribution of Births to Unmarried Women by Age Group: United States",
      "description": "This dataset includes percent distribution of births to unmarried women by age group in the United States since 1970.\n\nMethods for collecting information on marital status changed over the reporting period and have been documented in:\n\n• Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf.\n• National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:births@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Percent Distribution of Births to Unmarried Women by Age Group: United States",
          "description": "This dataset includes percent distribution of births to unmarried women by age group in the United States since 1970. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/hzd8-r9mj",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Percent Distribution of Births to Unmarried Women by Age Group: United States",
        "accessURL": "https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Tetanus to Varicella",
      "description": "NNDSS - Table II. Tetanus to Varicella  - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/i42d-szcv",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "netss",
        "nedss",
        "2018",
        "wonder",
        "varicella morbidity",
        "tetanus",
        "nndss"
      ],
      "modified": "2026-09-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i42d-szcv/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i42d-szcv",
          "mediaType": "text/csv",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i42d-szcv/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i42d-szcv",
          "mediaType": "application/json",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/i42d-szcv/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i42d-szcv/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i42d-szcv",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/i42d-szcv/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Tetanus to Varicella - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/i42d-szcv",
        "description": "NNDSS - Table II. Tetanus to Varicella - Dataset Home",
        "issued": "2019-01-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1F. Brucellosis to Candida auris, clinical",
      "description": "NNDSS - Table 1F. Brucellosis to Candida auris, clinical - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a \"U\" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/i43m-djm6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "2020",
        "wonder",
        "nndss",
        "netss",
        "nedss",
        "clinical",
        "candida auris",
        "campylobacteriosis",
        "brucellosis"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i43m-djm6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i43m-djm6",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i43m-djm6/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i43m-djm6",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/i43m-djm6/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i43m-djm6/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i43m-djm6",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/i43m-djm6/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i43m-djm6",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i43m-djm6/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i43m-djm6",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i43m-djm6/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i43m-djm6",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table 1F. Brucellosis to Candida auris, clinical - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/i43m-djm6",
        "description": "NNDSS - Table 1F. Brucellosis to Candida auris, clinical - Dataset Home",
        "issued": "2020-01-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: County Data (GIS Friendly Format), 2025 release",
      "description": "This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2023 county population estimates, and American Community Survey (ACS) 2019-2023 or 2018–2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. These data can be joined with the census 2023 county boundary file in a GIS system to produce maps for 40 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/i46a-9kgh",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "places",
        "outcomes",
        "health",
        "gis",
        "prevalence",
        "disability",
        "county",
        "behaviors",
        "prevention",
        "status",
        "risk",
        "social needs"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/i46a-9kgh/export.csv?accessType=DOWNLOAD",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/i46a-9kgh/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i46a-9kgh",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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          "accessURL": "https://data.cdc.gov/d/i46a-9kgh",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/i46a-9kgh/export.kmz?accessType=DOWNLOAD",
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        }
      ],
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        "@type": "Document",
        "title": "PLACES: County Data (GIS Friendly Format), 2025 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/i46a-9kgh",
        "description": "PLACES: County Data (GIS Friendly Format), 2025 release - Dataset Home",
        "issued": "2025-12-04",
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          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
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            "name": "Centers for Disease Control and Prevention"
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    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable",
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      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/i4eq-dgfc",
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      },
      "keyword": [
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        "nedss",
        "netss",
        "vibriosis confirmed",
        "vibriosis probable",
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      ],
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          "downloadURL": "https://data.cdc.gov/api/v3/views/i4eq-dgfc/export.csv?accessType=DOWNLOAD",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/i4eq-dgfc/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i4eq-dgfc",
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          }
        }
      ],
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        "@type": "Document",
        "title": "NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/i4eq-dgfc",
        "description": "NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable - Dataset Home",
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            "@id": "https://data.cdc.gov/user/2fth-98hd",
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        ]
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      "inventoried": "2026-09-27"
    },
    {
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      "@id": "https://data.cdc.gov/api/views/i667-sjhg",
      "identifier": "https://data.cdc.gov/api/views/i667-sjhg",
      "title": "NHANES Select Chronic Conditions Prevalence Estimates",
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      },
      "accessRights": "public",
      "distribution": [
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          "title": "NHANES Select Chronic Conditions Prevalence Estimates",
          "description": "These data represent prevalence estimates of select chronic conditions from the National Health and Nutrition Examination Survey (NHANES). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/i667-sjhg",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NHANES Select Chronic Conditions Prevalence Estimates",
        "accessURL": "https://www.cdc.gov/nchs/nhanes/visualization/"
      },
      "inventoried": "2026-09-27"
    },
    {
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      "@id": "https://data.cdc.gov/api/views/i6ej-9eac",
      "identifier": "https://data.cdc.gov/api/views/i6ej-9eac",
      "title": "AH Provisional COVID-19 Deaths by Race and Educational Attainment",
      "description": "Provisional counts of deaths in the United States by race and educational attainment. The dataset includes cumulative provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Provisional COVID-19 Deaths by Race and Educational Attainment",
          "description": "Provisional counts of deaths in the United States by race and educational attainment. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/i6ej-9eac",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Provisional COVID-19 Deaths by Race and Educational Attainment",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Non-Medical Factor Measures for County, ACS 2017-2021",
      "description": "This dataset contains county-level non-medical factor measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/i6u4-y3g4",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "county",
        "acs",
        "estimates",
        "places",
        "non-medical factor"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i6u4-y3g4/export.csv?accessType=DOWNLOAD",
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          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i6u4-y3g4/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i6u4-y3g4",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/i6u4-y3g4/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i6u4-y3g4/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i6u4-y3g4",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/i6u4-y3g4/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i6u4-y3g4/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i6u4-y3g4",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i6u4-y3g4/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i6u4-y3g4",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i6u4-y3g4/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i6u4-y3g4",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Non-Medical Factor Measures for County, ACS 2017-2021 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/i6u4-y3g4",
        "description": "Non-Medical Factor Measures for County, ACS 2017-2021 - Dataset Home",
        "issued": "2023-11-16",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
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      ],
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      ],
      "accessRights": "public",
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    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 14 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 41 of 48 and corresponds to the time range between October 15, 2012, and October 22, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/i8qe-aufy",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/i8qe-aufy/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/i8qe-aufy",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 14 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/i8qe-aufy",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 14 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air Summary",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air that apply to use of e-cigarettes in private worksites, restaurants, and bars.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/i8t6-whzd",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "state system",
        "osh",
        "ecigarette",
        "legislation",
        "policy",
        "smokefree indoor air"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Smokefree-Ind/2snk-eav4"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i8t6-whzd/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i8t6-whzd",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i8t6-whzd/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i8t6-whzd",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/i8t6-whzd/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i8t6-whzd/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i8t6-whzd",
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          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/i8t6-whzd/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i8t6-whzd/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i8t6-whzd",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i8t6-whzd/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i8t6-whzd",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/i8t6-whzd/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/i8t6-whzd",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air Summary - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/i8t6-whzd",
        "description": "CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air Summary - Dataset Home",
        "issued": "2023-07-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 9 - San Francisco",
      "description": "Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.",
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        "cdc",
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      "modified": "2026-09-09",
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        },
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 9 - San Francisco - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/i9qr-47vu",
        "description": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), 2012 & 2014, Region 9 - San Francisco - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
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      "bureauCode": [
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      ],
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        "009:020"
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Census Tract Data (GIS Friendly Format), 2020 release",
      "description": "This dataset contains model-based census tract level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 27 measures at the census tract level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ib3w-k9rq",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
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        "outcomes",
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        "prevalence",
        "prevention",
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        "gis",
        "unhealthy"
      ],
      "modified": "2026-09-23",
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        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Census-Tract-Data-GIS-Friendly-Format-2020-/yjkw-uj5s"
      },
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          "@type": "Distribution",
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          "mediaType": "application/json",
          "modified": "2026-09-23",
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            "title": "Columns for this asset"
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        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ib3w-k9rq/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ib3w-k9rq",
          "mediaType": "application/xml",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ib3w-k9rq/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ib3w-k9rq",
          "mediaType": "application/geo+json",
          "modified": "2026-09-23"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ib3w-k9rq/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ib3w-k9rq",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ib3w-k9rq/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ib3w-k9rq",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Census Tract Data (GIS Friendly Format), 2020 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ib3w-k9rq",
        "description": "PLACES: Census Tract Data (GIS Friendly Format), 2020 release - Dataset Home",
        "issued": "2021-09-29",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Upcoming Reporting Cadence Change",
      "description": "Beginning on October 20, 2022, CDC will be reporting and publishing aggregate case and death data from jurisdictional and state partners on a weekly basis rather than daily. As a result, several datasets reported on data.cdc.gov will be updated weekly on Thursdays, typically by 8 PM ET, instead of daily.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ifsm-x42a",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:no-reply@data.cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "NCIRD-CORVD"
      },
      "modified": "2022-10-04",
      "landingPage": {
        "@type": "Document",
        "title": "Upcoming Reporting Cadence Change - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ifsm-x42a",
        "description": "Upcoming Reporting Cadence Change - Dataset Home",
        "issued": "2022-10-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "NCIRD-CORVD"
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Varicella to West Nile virus disease",
      "description": "NNDSS - Table II. Varicella to West Nile virus disease - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Updated weekly from reports to the Division of Vector-Borne Infectious Diseases, National Center for Zoonotic, Vector-Borne, and Enteric Diseases (ArboNet Surveillance). Data for California serogroup, eastern equine, Powassan, St. Louis, and western equine diseases are available in Table I. �� Not reportable in all states. Data from states where the condition is not reportable are excluded from this table, except starting in 2007 for the Arboviral diseases and influenza-associated pediatric mortality, and in 2003 for SARS-CoV. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/document/SRCA_FINAL_REPORT_2006-2012_final.xlsx.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ig4m-ub43",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "2014",
        "nedss",
        "wonder",
        "west nile virus",
        "varicella",
        "nndss",
        "netss",
        "mmwr",
        "chickenpox"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ig4m-ub43/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ig4m-ub43",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ig4m-ub43/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ig4m-ub43",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ig4m-ub43/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ig4m-ub43/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ig4m-ub43",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ig4m-ub43/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Varicella to West Nile virus disease - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ig4m-ub43",
        "description": "NNDSS - Table II. Varicella to West Nile virus disease - Dataset Home",
        "issued": "2015-01-08",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "National Artesunate for Severe Malaria Program Case Report Data- April to December 2019",
      "description": "This dataset includes deidentified data on patients receiving artesunate through the National Artesunate for Severe Malaria Program from April- December 2019. \n\nThis dataset contains the data from the case report form only.\nPlease see the links below for the other datasets and see the attached document 'Guide to NSAMP Datasets':\nData on Artesunate Dosing- https://data.cdc.gov/dataset/National-Artesunate-for-Severe-Malaria-Program-Art/qan4-gt4k\nData on Follow-On Antimalarial Dosing- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Fol/g3k9-gyw7\nData on Microscopy (Parasitemia values)- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Mic/v2k9-ctv4\n\nAll data can be easily linked using the ParticipantID field, a unique ID number assigned to each participant.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/igaz-icki",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Francisca Abanyie, MD, MPH",
          "hasEmail": "mailto:why6@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/3ehp-hx5k",
        "@type": "Organization",
        "name": "PWI9@cdc.gov"
      },
      "keyword": [
        "division of parasitic diseases and malaria",
        "malaria",
        "artesunate"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/igaz-icki/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/igaz-icki",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/igaz-icki/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/igaz-icki",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/igaz-icki/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/igaz-icki/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/igaz-icki",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/igaz-icki/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Artesunate for Severe Malaria Program Case Report Data- April to December 2019 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/igaz-icki",
        "description": "National Artesunate for Severe Malaria Program Case Report Data- April to December 2019 - Dataset Home",
        "issued": "2020-04-10",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/3ehp-hx5k",
            "@type": "Organization",
            "name": "PWI9@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/ihtq-qs57",
      "identifier": "https://data.cdc.gov/api/views/ihtq-qs57",
      "title": "National Survey of Family Growth Public-Use Files",
      "description": "The National Survey of Family Growth (NSFG) gathers information on pregnancies and births, marriage and cohabitation, infertility, use of contraception, family life, and general and reproductive health. Public-use files include a female respondent, male respondent, and female pregnancy file. The NSFG webpage (https://www.cdc.gov/nchs/nsfg/index.htm) features the most up-to-date public-use data files and documentation including questionnaires, codebooks, data files, and an in-depth survey description.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:nsfg@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "National Survey of Family Growth Public-Use Files",
          "description": "The National Survey of Family Growth (NSFG) gathers information on pregnancies and births, marriage and cohabitation, infertility, use of contraception, family life, and general and reproductive health. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/ihtq-qs57",
          "modified": "2026-07-23"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-23",
      "landingPage": {
        "@type": "Document",
        "title": "National Survey of Family Growth Public-Use Files",
        "accessURL": "https://www.cdc.gov/nchs/nsfg/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Vaccination Coverage and Exemptions among Kindergartners",
      "description": "Vaccination Coverage and Exemptions among Kindergartners\n\n• Data on school vaccination coverage and exemptions from the School Vaccination Assessment Program for kindergartners at the national and state levels.\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/schoolvaxview/index.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ijqb-a7ye",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "NCIRD"
      },
      "keyword": [
        "varicella",
        "immunization",
        "medical exemption",
        "mmr",
        "non-medical exemption",
        "polio",
        "school exemption",
        "school vaccination",
        "vaccination",
        "vaccination coverage",
        "vaxviews",
        "any exemption",
        "dt",
        "dtap",
        "dtp",
        "hepatitis b"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ijqb-a7ye/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ijqb-a7ye",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ijqb-a7ye/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ijqb-a7ye",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ijqb-a7ye/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ijqb-a7ye/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ijqb-a7ye",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ijqb-a7ye/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Vaccination Coverage and Exemptions among Kindergartners - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ijqb-a7ye",
        "description": "Vaccination Coverage and Exemptions among Kindergartners - Dataset Home",
        "issued": "2021-05-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "NCIRD"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/ik4a-qfxi",
      "identifier": "https://data.cdc.gov/api/views/ik4a-qfxi",
      "title": "National Ambulatory Medical Care Survey Culturally and Linguistically Appropriate Services, 2016, public-use data",
      "description": "The purpose of the National CLAS Physician Survey is to understand the provision of culturally and linguistically appropriate services among office-based physicians. The National CLAS Physician Survey is a supplement to the National Ambulatory Medical Care Survey.\nThe National CLAS Physician Survey public use file includes data from office-based physicians. No patient level data were collected.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "National Ambulatory Medical Care Survey Culturally and Linguistically Appropriate Services, 2016, public-use data",
          "description": "The purpose of the National CLAS Physician Survey is to understand the provision of culturally and linguistically appropriate services among office-based physicians. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/ik4a-qfxi",
          "modified": "2026-04-23"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-04-23",
      "landingPage": {
        "@type": "Document",
        "title": "National Ambulatory Medical Care Survey Culturally and Linguistically Appropriate Services, 2016, public-use data",
        "accessURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NAMCS/2016/doc2016_clas.pdf"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/ikd3-vynf",
      "identifier": "https://data.cdc.gov/api/views/ikd3-vynf",
      "title": "AH Provisional COVID-19 Deaths by Week and Age (ikd3-vynf)",
      "description": "Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by jurisdiction of occurrence, week, and age group.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Provisional COVID-19 Deaths by Week and Age (ikd3-vynf)",
          "description": "Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by jurisdiction of occurrence, week, and age group. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/ikd3-vynf",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Provisional COVID-19 Deaths by Week and Age (ikd3-vynf)",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Quantitative headform fit evaluation and predictive modeling to assist with selecting N95 filtering facepiece respirators to mitigate respiratory hazards",
      "description": "Proper respirator fit is essential for ensuring that NIOSH Approved® N95® filtering facepiece respirators (FFRs) provide their expected level of respiratory protection. Because respirator fit varies according to both respirator design and an individual's facial dimensions, selecting a well-fitting respirator can be difficult, particularly in settings where formal respirator fit testing is unavailable or resources are limited. To better understand these relationships, the National Institute for Occupational Safety and Health (NIOSH) conducted a laboratory study evaluating the fit performance of 12 NIOSH Approved N95 FFR models distributed through the U.S. Strategic National Stockpile (SNS). Quantitative fit evaluations were performed using five ISO Static Advanced Headforms, which represent approximately 95% of the U.S. worker population based on NIOSH’s 2003 Anthropometric Survey, resulting in 540 individual headform fit tests. These experimental data were subsequently combined with anthropometric data from the 2003 NIOSH survey to develop and evaluate predictive models that estimate an individual's representative headform size from a limited set of facial measurements.\nThe datasets were collected to improve understanding of how respirator fit varies across representative facial sizes and to support development of tools that may assist workers, employers, emergency response organizations, researchers, and the public in identifying respirator models that are more likely to provide an adequate fit. The quantitative fit evaluation data were used to characterize fit performance across multiple respirator models and headform sizes, while the anthropometric modeling data were used to develop and evaluate multinomial logistic regression models capable of predicting headform size with high accuracy under laboratory conditions. Because the fit evaluation was conducted using laboratory manikin headforms rather than human subjects, the findings should not be interpreted as a replacement for OSHA-accepted respirator fit testing. Additionally, only selected NIOSH Approved N95 FFR models available through the SNS at the time of the study were evaluated, and further validation with human subjects is needed before predictive modeling approaches are applied in real-world respirator selection. Nevertheless, these datasets provide a valuable resource for research involving respirator fit, facial anthropometry, respirator design, and development of future respirator selection and fit assessment tools.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/inau-mhw3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Research Branch (RB) National Personal Protective Technology Laboratory (NPPTL)",
          "hasEmail": "mailto:PPEConcerns@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "keyword": [
        "workplace"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/inau-mhw3/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/inau-mhw3",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Quantitative headform fit evaluation and predictive modeling to assist with selecting N95 filtering facepiece respirators to mitigate respiratory hazards - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/inau-mhw3",
        "description": "Quantitative headform fit evaluation and predictive modeling to assist with selecting N95 filtering facepiece respirators to mitigate respiratory hazards - Dataset Home",
        "issued": "2026-09-09",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Development of an air sampling method for quantifying 12 legacy and emerging PFAS with the OSHA Versatile Sampler (OVS) tube and analysis by HPLC-MS/MS",
      "description": "Per- and polyfluoroalkyl substances (PFAS), recognized for their advantageous physical and chemical properties, are extensively utilized in various industrial applications. However, PFAS exposures have been associated with a range of adverse health effects, including developmental issues, immune system suppression, and hormonal disruptions. The International Agency for Research on Cancer (IARC) has classified perfluorooctanoic acid (PFOA) as carcinogenic to humans and perfluorooctane sulfonate (PFOS) as possibly carcinogenic due to evidence of tumor development in animal studies. Despite these health concerns, occupational environments frequently expose workers to PFAS through inhalation, dermal contact, or ingestion based on the substance state and application. Air monitoring has detected significant levels of PFAS in diverse workplace settings; however, the absence of standardized protocols for airborne PFAS presents challenges in understanding and controlling exposure risks. The Occupational Safety and Health Administration (OSHA) Versatile Sampler (OVS) tube has demonstrated efficacy in capturing and analyzing airborne PFOA. Our objective was to adapt this method for broader PFAS detection, employing a novel air generation technique to simulate environmental capture conditions. For the first time, we established a robust scientific approach for air sampling of a group of 12 PFAS from different classes, which will aid in assessing potentially harmful airborne PFAS levels. Method validation tests followed the National Institute for Occupational Safety and Health (NIOSH) Manual of Analytical Methods (NMAM) evaluation criterion.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ipqz-2s6g",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Wael Abdelraheem",
          "hasEmail": "mailto:twd6@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/u83t-x93e",
        "@type": "Organization",
        "name": "Garrett Burnett"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/ipqz-2s6g/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/ipqz-2s6g",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Development of an air sampling method for quantifying 12 legacy and emerging PFAS with the OSHA Versatile Sampler (OVS) tube and analysis by HPLC-MS/MS - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ipqz-2s6g",
        "description": "Development of an air sampling method for quantifying 12 legacy and emerging PFAS with the OSHA Versatile Sampler (OVS) tube and analysis by HPLC-MS/MS - Dataset Home",
        "issued": "2026-05-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/u83t-x93e",
            "@type": "Organization",
            "name": "Garrett Burnett"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/iqm3-hbev",
      "identifier": "https://data.cdc.gov/api/views/iqm3-hbev",
      "title": "DQS NHANES Footnotes",
      "description": "List of footnotes, notes, and source information for NHANES Summary Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NHANES Datasets.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS NHANES Footnotes",
          "description": "List of footnotes, notes, and source information for NHANES Summary Statistics. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/iqm3-hbev",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS NHANES Footnotes",
        "accessURL": "https://www.cdc.gov/nchs/nhanes/visualization/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Diabetes State Burden Toolkit - Health Burden",
      "description": "This section of the Burden Toolkit reports the health burden of diabetes in your state and consists of diabetes prevalence, diabetes incidence, and diabetes-associated conditions. The statistics for diabetes-associated conditions are based on self-reported data, hospitalization data, and Medicare data. For each condition, the toolkit reports the rate of the condition among people with diabetes and the number of cases attributable to diabetes.\n\nData sources: 2020-2021 Behavioral Risk Factor Surveillance System (BRFSS). Agency for Healthcare Research and Quality (AHRQ), Healthcare Cost and Utilization Project (HCUP), State Inpatient Databases (SID). 2021 Medicare Master Beneficiary Summary (MBS) File. For detail, see the Technical Report: https://www.cdc.gov/diabetes/burden-toolkit/docs/technical_documentation.pdf",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ircd-wk4g",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DDT Public Inquiries",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "CDC UserSA"
      },
      "keyword": [
        "lower extremity amputations",
        "hypertension",
        "diabetes-related chronic disease",
        "diabetes prevalence",
        "diabetes incidence",
        "burden",
        "myocardial infarction",
        "diabetic ketoacidosis",
        "diabetes-associated conditions",
        "diabetes",
        "congestive heart failure (chf)",
        "chronic kidney disease (ckd)",
        "cardiovascular disease (cvd)",
        "state",
        "stroke",
        "health burden"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ircd-wk4g/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ircd-wk4g",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ircd-wk4g/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ircd-wk4g",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ircd-wk4g/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ircd-wk4g/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ircd-wk4g",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ircd-wk4g/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ircd-wk4g/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ircd-wk4g",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ircd-wk4g/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ircd-wk4g",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ircd-wk4g/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ircd-wk4g",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Diabetes State Burden Toolkit - Health Burden - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ircd-wk4g",
        "description": "Diabetes State Burden Toolkit - Health Burden - Dataset Home",
        "issued": "2026-02-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "CDC UserSA"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Giardiasis to Haemophilus influenza",
      "description": "NNDSS - Table II. Giardiasis to Haemophilus influenza - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\nU: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Data for Haemophilus influenzae (age <5 for serotype b, nontypeable, non-b serotype, and unknown serotype) are available in Table I.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/irpc-yf8f",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nndss",
        "netss",
        "nedss",
        "mmwr",
        "haemophilus influenza",
        "gonorrhea",
        "giardiasis",
        "2017",
        "wonder"
      ],
      "modified": "2026-09-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/irpc-yf8f/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/irpc-yf8f",
          "mediaType": "text/csv",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/irpc-yf8f/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/irpc-yf8f",
          "mediaType": "application/json",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/irpc-yf8f/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/irpc-yf8f/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/irpc-yf8f",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/irpc-yf8f/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Giardiasis to Haemophilus influenza - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/irpc-yf8f",
        "description": "NNDSS - Table II. Giardiasis to Haemophilus influenza - Dataset Home",
        "issued": "2018-01-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/isx2-c2ii",
      "identifier": "https://data.cdc.gov/api/views/isx2-c2ii",
      "title": "NCHS - Percent Distribution of Births for Females by Age Group: United States",
      "description": "This dataset includes percent distribution of births for females by age group in the United States since 1933.\n\nThe number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:births@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Percent Distribution of Births for Females by Age Group: United States",
          "description": "This dataset includes percent distribution of births for females by age group in the United States since 1933. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/isx2-c2ii",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Percent Distribution of Births for Females by Age Group: United States",
        "accessURL": "https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/it4f-frdc",
      "identifier": "https://data.cdc.gov/api/views/it4f-frdc",
      "title": "U.S. State Life Expectancy by Sex, 2021",
      "description": "The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.)\nin 2021 for the total, male and female populations.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "U.S. State Life Expectancy by Sex, 2021",
          "description": "The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.) in 2021 for the total, male and female populations. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/it4f-frdc",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "U.S. State Life Expectancy by Sex, 2021",
        "accessURL": "https://www.cdc.gov/nchs/data-visualization/state-life-expectancy/index_2021.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/ite7-j2w7",
      "identifier": "https://data.cdc.gov/api/views/ite7-j2w7",
      "title": "AH COVID-19 Death Counts by County and Week, 2020-present",
      "description": "Provisional count of deaths involving COVID-19 by United States county of occurrence, by week of death.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH COVID-19 Death Counts by County and Week, 2020-present",
          "description": "Provisional count of deaths involving COVID-19 by United States county of occurrence, by week of death. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/ite7-j2w7",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH COVID-19 Death Counts by County and Week, 2020-present",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months-17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine",
      "description": "• COVID-19 vaccination coverage and parental intent among children 6 months to 17 years is assessed through the National Immunization Survey providing weekly COVID-19 vaccination coverage estimates (https://www.cdc.gov/vaccines/imz-managers/nis/about.html). \n\n• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM). Beginning January 2, 2024, the NIS-CCM was discontinued, and questions regarding receipt of COVID-19 vaccination among children were added to the NIS-Flu (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-cim). \n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ithv-4e9m",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "nis",
        "covid-19 vaccination"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ithv-4e9m/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ithv-4e9m",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ithv-4e9m/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ithv-4e9m",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ithv-4e9m/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ithv-4e9m/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ithv-4e9m",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ithv-4e9m/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months-17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ithv-4e9m",
        "description": "Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months-17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine - Dataset Home",
        "issued": "2023-11-07",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC STATE System E-Cigarette Legislation - Smokefree Campus",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Smokefree Campus. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state smokefree indoor air laws for smokefree campuses in private and public colleges and schools (K-12).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/itia-u6fu",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "policy",
        "osh",
        "legislation",
        "e-cigarette",
        "state system",
        "smokefree campus"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Smokefree/itia-u6fu"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/itia-u6fu/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/itia-u6fu",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/itia-u6fu/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/itia-u6fu",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/itia-u6fu/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/itia-u6fu/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/itia-u6fu",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/itia-u6fu/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/itia-u6fu/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/itia-u6fu",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/itia-u6fu/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/itia-u6fu",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/itia-u6fu/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/itia-u6fu",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC STATE System E-Cigarette Legislation - Smokefree Campus - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/itia-u6fu",
        "description": "CDC STATE System E-Cigarette Legislation - Smokefree Campus - Dataset Home",
        "issued": "2023-07-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome",
      "description": "NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/iu3b-5ngj",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nndss",
        "netss",
        "2021",
        "nedss",
        "wonder",
        "rubella congenital syndrome",
        "rubella"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/iu3b-5ngj/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iu3b-5ngj",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/iu3b-5ngj/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iu3b-5ngj",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/iu3b-5ngj/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/iu3b-5ngj/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iu3b-5ngj",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/iu3b-5ngj/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/iu3b-5ngj/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iu3b-5ngj",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/iu3b-5ngj/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iu3b-5ngj",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/iu3b-5ngj/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iu3b-5ngj",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/iu3b-5ngj",
        "description": "NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Multi-Walled Carbon Nanotubes Induce Arachidonate 5-Lipoxygenase Expression and Enhance the Polarization and Function of M1 Macrophages in vitro",
      "description": "Fibrogenic carbon nanotubes (CNTs) induce the polarization of M1 and M2 macrophages in mouse lungs. Polarization of the macrophages regulates the production of proinflammatory and pro-resolving lipid mediators (LMs) to mediate acute inflammation and its resolution in a time-dependent manner. Here we examined the molecular mechanism by which multi-walled CNTs (MWCNTs, Mitsui-7) induce M1 polarization in vitro. Treatment of murine macrophages (J774A.1) with Mitsui-7 MWCNTs increased the expression of Alox5 mRNA and protein in a concentration- and time-dependent manner. The MWCNTs induced the expression of CD68, and that induction persisted for up to 3 days post-exposure. The expression and activity of inducible nitric oxide synthase, an intracellular marker of M1, were increased by MWCNTs. Consistent with M1 polarization, the MWCNTs induced the production and secretion of proinflammatory cytokines tumor necrosis factor-α and interleukin-1β, and proinflammatory LMs leukotriene B4 (LTB4) and prostaglandin E2 (PGE2). The cell-free media from MWCNT-polarized macrophages induced the migration of neutrophilic cells (differentiated from HL-60), which was blocked by Acebilustat, a specific leukotriene A4 hydrolase inhibitor, or LY239111, an LTB4 receptor antagonist, but not NS-398, a cyclooxygenase 2 inhibitor, revealing LTB4 as a major mediator of neutrophil chemotaxis from MWCNT-polarized macrophages. Knockdown of Alox5 using specific small hairpin-RNA suppressed MWCNT-induced M1 polarization, LTB4 secretion, and migration of neutrophils. Taken together, these findings demonstrate the polarization of M1 macrophages by Mitsui-7 MWCNTs in vitro and that induction of Alox5 is an important mechanism by which the MWCNTs promote proinflammatory responses by boosting M1 polarization and production of proinflammatory LMs.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/iudi-d4pc",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "TMBB/HELD",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/iudi-d4pc/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/iudi-d4pc",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Multi-Walled Carbon Nanotubes Induce Arachidonate 5-Lipoxygenase Expression and Enhance the Polarization and Function of M1 Macrophages in vitro - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/iudi-d4pc",
        "description": "Multi-Walled Carbon Nanotubes Induce Arachidonate 5-Lipoxygenase Expression and Enhance the Polarization and Function of M1 Macrophages in vitro - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Behavioral Risk Factor Surveillance System (BRFSS) Historical Questions",
      "description": "1984-2023.  Centers for Disease Control and Prevention (CDC). BRFSS Survey Data.  The BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death.\nDetailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/iuq5-y9ct",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DPH Public Inquiries",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "brfss",
        "behavioral",
        "factor",
        "questions",
        "risk",
        "surveillance",
        "survey",
        "system"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/iuq5-y9ct/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iuq5-y9ct",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/iuq5-y9ct/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iuq5-y9ct",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/iuq5-y9ct/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iuq5-y9ct",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/iuq5-y9ct/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Behavioral Risk Factor Surveillance System (BRFSS) Historical Questions - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/iuq5-y9ct",
        "description": "Behavioral Risk Factor Surveillance System (BRFSS) Historical Questions - Dataset Home",
        "issued": "2017-04-12",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Monthly Cumulative Number and Percent of Persons Children 6 Months–17 Years and Adults 18 Years and Older Who Received 1+ Influenza Vaccination Doses, by Season, Age Group, and Jurisdiction, United States",
      "description": "• Monthly Cumulative Percent of Persons Who Received ≥1 Influenza Vaccination Doses, by Influenza Season, Age Group and Jurisdiction.\n\n• Influenza (flu) vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly, in aggregate, by age group.\n\n• Monthly estimates shown are cumulative, reflecting all persons vaccinated from July 1 through a given month of that flu season.*,† Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ivdz-qhnr",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "nis-acm",
        "iqvia",
        "iis",
        "flu vaccination",
        "vsd"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ivdz-qhnr/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ivdz-qhnr",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
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          "accessURL": "https://data.cdc.gov/d/ivdz-qhnr",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ivdz-qhnr/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ivdz-qhnr/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ivdz-qhnr",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ivdz-qhnr/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Monthly Cumulative Number and Percent of Persons Children 6 Months–17 Years and Adults 18 Years and Older Who Received 1+ Influenza Vaccination Doses, by Season, Age Group, and Jurisdiction, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ivdz-qhnr",
        "description": "Monthly Cumulative Number and Percent of Persons Children 6 Months–17 Years and Adults 18 Years and Older Who Received 1+ Influenza Vaccination Doses, by Season, Age Group, and Jurisdiction, United States - Dataset Home",
        "issued": "2024-10-16",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "National Immunization Survey Adult COVID Module (NIS-ACM): Vaccination Status and Intent by Demographics",
      "description": "National Immunization Survey Adult COVID Module (NIS-ACM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. These data represent trends in vaccination status and intent by demographics. \n\nFollowing collection of August 2021 survey data, an error in data processing led to incorrect categorization of some survey respondents; some respondents who should have been categorized as MSA: Principal City instead were categorized as MSA: Non-Principal City. Data downloaded during the period September 12, 2021 through September 30, 2021 may have incorrect estimates by MSA status, SVI of county of residence, and political leaning of county of residence.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/iwxc-qftf",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "James Singleton",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "NCIRD"
      },
      "keyword": [
        "covid tracker",
        "covid-19 vaccination",
        "nis-acm"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/iwxc-qftf/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iwxc-qftf",
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        },
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          "accessURL": "https://data.cdc.gov/d/iwxc-qftf",
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          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/iwxc-qftf/query.xml?accessType=DOWNLOAD",
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          }
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      ],
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        "@type": "Document",
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        "accessURL": "https://data.cdc.gov/d/iwxc-qftf",
        "description": "National Immunization Survey Adult COVID Module (NIS-ACM): Vaccination Status and Intent by Demographics - Dataset Home",
        "issued": "2022-06-22",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "NCIRD"
          }
        ]
      },
      "bureauCode": [
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      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2022 Final Assisted Reproductive Technology (ART) Services and Profiles",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinic’s contact information, location, the medical director’s name, and summary statistics.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ix4g-rt8v",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ARTINFO",
          "hasEmail": "mailto:ARTINFO@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/uj8q-r4hw",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "fertility",
        "infertility",
        "services",
        "success rates",
        "clinic",
        "assisted reproductive technology",
        "art"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://data.cdc.gov/dataset/2020-Final-Assisted-Reproductive-Technology-ART-Se/ix4g-rt8v"
      },
      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/ix4g-rt8v",
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          }
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ix4g-rt8v/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ix4g-rt8v",
          "mediaType": "application/geo+json",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ix4g-rt8v/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ix4g-rt8v",
          "mediaType": "application/vnd.google-earth.kml+xml",
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        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ix4g-rt8v/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ix4g-rt8v",
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          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "2022 Final Assisted Reproductive Technology (ART) Services and Profiles - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ix4g-rt8v",
        "description": "2022 Final Assisted Reproductive Technology (ART) Services and Profiles - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/uj8q-r4hw",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Outbreak Data - Restaurant Grading",
      "description": "This dataset contains foodborne outbreak data obtained from CDC’s FDOSS. These data include the outbreak location and earliest date of outbreak illness onset. These data were combined with regulatory agency survey data to assess the relationship between the practice of posting graded inspection results and foodborne illness and outbreak rates.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/iyx3-z4r8",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Hao Tian",
          "hasEmail": "mailto:ejq7@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/8akm-5nz9",
        "@type": "Organization",
        "name": "ejq7@cdc.gov"
      },
      "keyword": [
        "restaurant grading",
        "food safety"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/iyx3-z4r8/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iyx3-z4r8",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/iyx3-z4r8/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iyx3-z4r8",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/iyx3-z4r8/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/iyx3-z4r8/query.xml?accessType=DOWNLOAD",
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Outbreak Data - Restaurant Grading - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/iyx3-z4r8",
        "description": "Outbreak Data - Restaurant Grading - Dataset Home",
        "issued": "2022-10-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/8akm-5nz9",
            "@type": "Organization",
            "name": "ejq7@cdc.gov"
          }
        ]
      },
      "spatial": {
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        "prefLabel": "United States"
      },
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        "009:20"
      ],
      "programCode": [
        "009:032"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 8 - Denver",
      "description": "Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/iz46-hpaa",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "cdc",
        "centers for disease control and prevention"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/iz46-hpaa/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iz46-hpaa",
          "mediaType": "text/csv",
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        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/iz46-hpaa/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iz46-hpaa",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/api/views/iz46-hpaa/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/iz46-hpaa/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iz46-hpaa",
          "mediaType": "application/xml",
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            "accessURL": "https://data.cdc.gov/api/views/iz46-hpaa/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/iz46-hpaa/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iz46-hpaa",
          "mediaType": "application/geo+json",
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        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/iz46-hpaa/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iz46-hpaa",
          "mediaType": "application/vnd.google-earth.kml+xml",
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        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/iz46-hpaa/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/iz46-hpaa",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 8 - Denver - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/iz46-hpaa",
        "description": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 8 - Denver - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2011 to Present)",
      "description": "2011 to present. BRFSS SMART MMSA Prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/j32a-sa6u",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC UserSA",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "CDC UserSA"
      },
      "keyword": [
        "behavioral",
        "brfss",
        "mmsa",
        "risk",
        "smart",
        "survey"
      ],
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      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/j32a-sa6u/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j32a-sa6u",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/j32a-sa6u/query.json?accessType=DOWNLOAD",
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          }
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        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j32a-sa6u/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j32a-sa6u",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j32a-sa6u/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j32a-sa6u",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j32a-sa6u/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j32a-sa6u",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2011 to Present) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/j32a-sa6u",
        "description": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2011 to Present) - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "CDC UserSA"
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Agreement of hip kinematics between two tracking marker configurations used with the 1 CODA pelvis during ergonomic roofing tasks",
      "description": "The anterior and posterior superior iliac spine markers are commonly used to define the pelvis, and these markers are predisposed to occlusion during three-dimensional motion capture. The occlusion of these markers leads to the use of various tracking marker configurations on the pelvis, which can create differences in kinematic results. The purpose of this investigation was to examine the agreement of CODA pelvis kinematic results when two different tracking marker configurations were used during ergonomic roofing tasks. Three-dimensional motion data was collected on seven male subjects while mimicking a standing and kneeling roofing task. Hip joint angles were computed using the CODA pelvis with two different tracking marker configurations, the Trochanter Tracking Method (TTM), and the Virtual Pelvis Tracking Method (VPTM).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/j63e-g9bn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Physical Effects Research Branch, Health Effects Laboratory Division",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/j63e-g9bn/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/j63e-g9bn",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Agreement of hip kinematics between two tracking marker configurations used with the 1 CODA pelvis during ergonomic roofing tasks - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/j63e-g9bn",
        "description": "Agreement of hip kinematics between two tracking marker configurations used with the 1 CODA pelvis during ergonomic roofing tasks - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic",
      "description": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/j6gu-p9yd",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "wonder",
        "2020",
        "acute",
        "chronic",
        "nedss",
        "netss",
        "nndss",
        "q fever",
        "total"
      ],
      "modified": "2026-09-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j6gu-p9yd/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j6gu-p9yd",
          "mediaType": "text/csv",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j6gu-p9yd/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j6gu-p9yd",
          "mediaType": "application/json",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/j6gu-p9yd/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j6gu-p9yd/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j6gu-p9yd",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/j6gu-p9yd/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j6gu-p9yd/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j6gu-p9yd",
          "mediaType": "application/geo+json",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j6gu-p9yd/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j6gu-p9yd",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j6gu-p9yd/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j6gu-p9yd",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-08"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/j6gu-p9yd",
        "description": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/j7ym-uwqy",
      "identifier": "https://data.cdc.gov/api/views/j7ym-uwqy",
      "title": "DQS Infant, neonatal, and postneonatal mortality rates, by detailed race and Hispanic origin of mother: United States",
      "description": "Data on infant, neonatal, and postneonatal mortality rates in the United States, by detailed race and Hispanic origin of mother. Data are from Health, United States. Source: National Center for Health Statistics, National Vital Statistics System, Linked Birth/Infant Death Data Set.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Infant, neonatal, and postneonatal mortality rates, by detailed race and Hispanic origin of mother: United States",
          "description": "Data on infant, neonatal, and postneonatal mortality rates in the United States, by detailed race and Hispanic origin of mother. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/j7ym-uwqy",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Infant, neonatal, and postneonatal mortality rates, by detailed race and Hispanic origin of mother: United States",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "BRFSS Prevalence And Trends Data: Tobacco Use - Adults Who Are Current Smokers for 1995-2010",
      "description": "Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements.For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm.Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/j8jk-5ztv",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/7vdi-f8f4",
        "@type": "Organization",
        "name": "Mark@CDC"
      },
      "keyword": [
        "brfss",
        "adults",
        "current smokers"
      ],
      "modified": "2026-08-17",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j8jk-5ztv/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j8jk-5ztv",
          "mediaType": "text/csv",
          "modified": "2026-08-17"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j8jk-5ztv/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j8jk-5ztv",
          "mediaType": "application/json",
          "modified": "2026-08-17",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/j8jk-5ztv/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j8jk-5ztv/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j8jk-5ztv",
          "mediaType": "application/xml",
          "modified": "2026-08-17",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/j8jk-5ztv/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j8jk-5ztv/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j8jk-5ztv",
          "mediaType": "application/geo+json",
          "modified": "2026-08-17"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j8jk-5ztv/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j8jk-5ztv",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-08-17"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j8jk-5ztv/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j8jk-5ztv",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-08-17"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "BRFSS Prevalence And Trends Data: Tobacco Use - Adults Who Are Current Smokers for 1995-2010 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/j8jk-5ztv",
        "description": "BRFSS Prevalence And Trends Data: Tobacco Use - Adults Who Are Current Smokers for 1995-2010 - Dataset Home",
        "issued": "2013-08-01",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/7vdi-f8f4",
            "@type": "Organization",
            "name": "Mark@CDC"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC Wastewater Data for SARS-CoV-2",
      "description": "This dataset provides a complete time history of SARS-CoV-2 wastewater sample data and calculated metrics from US sampling locations. \n\nCDC’s National Wastewater Surveillance System (NWSS) includes data collected and reported by:\n•\tAll data with a source designation of “State_Territory” were generated by state and local health departments are reported to CDC and supported with funding through the Epidemiology and Laboratory Capacity for the Prevention and Control of Emerging Infectious Diseases (ELC) Cooperative Agreement (https://www.cdc.gov/epidemiology-laboratory-capacity/php/our-work/index.html).\n•\tAll data with a source designation of “CDC_Verily” were generated by CDC’s national wastewater testing contract (currently with Verily Life Sciences, LLC).\n•\tAll data with a source designation of “WastewaterSCAN” were generated by WastewaterSCAN, a partnership between Stanford University, Emory University, and Verily. All results are understood to be based on inputs that are experimental in nature and are not intended to diagnose or treat any disease. The results are provided “as is” and without warranty of any kind. Stanford does not accept liability for any claim arising out of or in connection with the disclosure of these results. WastewaterSCAN indicates that by accessing or copying any part of the database, the user accepts the terms of Stanford’s license (CC BY-NC 4.0). These data are being made available to inform public health decision making. Anyone seeking to use the database for other purposes or for research is required to contact the WastewaterSCAN / SCAN team (email: wwscan_stanford_emory@lists.stanford.edu) and any use of the data should be cited appropriately (https://data.wastewaterscan.org/about/#18). \n\nLearn more at: www.cdc.gov/wastewater.\n\nThis dataset is updated weekly on Fridays.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/j9g8-acpt",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Wastewater Surveillance System (NWSS)",
          "hasEmail": "mailto:NWSS@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/mt3r-qr2b",
        "@type": "Organization",
        "name": "NWSS"
      },
      "keyword": [
        "covid-19",
        "united states",
        "sars-cov-2",
        "nwss",
        "weekly",
        "ncezid",
        "coronavirus",
        "wastewater"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j9g8-acpt/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j9g8-acpt",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j9g8-acpt/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j9g8-acpt",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/j9g8-acpt/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j9g8-acpt/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j9g8-acpt",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/j9g8-acpt/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC Wastewater Data for SARS-CoV-2 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/j9g8-acpt",
        "description": "CDC Wastewater Data for SARS-CoV-2 - Dataset Home",
        "issued": "2026-05-01",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/mt3r-qr2b",
            "@type": "Organization",
            "name": "NWSS"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US States and Territories"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Ehrlichiosis/Anaplasmosis",
      "description": "NNDSS - Table II. Ehrlichiosis/Anaplasmosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.   Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Cumulative total E. ewingii cases reported for year 2015 = 0, and 14 cases reported for 2014.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/j9id-xrm6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nndss",
        "2015",
        "anaplasma phagocytophilum",
        "ehrlichia chaffeensis",
        "ehrlichiosis/anaplasmosis",
        "mmwr",
        "nedss",
        "netss",
        "undetermined",
        "wonder"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j9id-xrm6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j9id-xrm6",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j9id-xrm6/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j9id-xrm6",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/j9id-xrm6/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/j9id-xrm6",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Ehrlichiosis/Anaplasmosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/j9id-xrm6",
        "description": "NNDSS - Table II. Ehrlichiosis/Anaplasmosis - Dataset Home",
        "issued": "2016-01-07",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2013",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 48 of 48 and corresponds to the time range between December 31, 2012, and March 4, 2013.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/jat9-pg8m",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/jat9-pg8m/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/jat9-pg8m",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2013 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/jat9-pg8m",
        "description": "Elk Creek Seismic Waveforms 2013 - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
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      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/jb9g-gnvr",
      "identifier": "https://data.cdc.gov/api/views/jb9g-gnvr",
      "title": "Indicators of Health Insurance Coverage at the Time of Interview",
      "description": "The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households.  The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.\n\nThe survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Indicators of Health Insurance Coverage at the Time of Interview",
          "description": "The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/jb9g-gnvr",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Indicators of Health Insurance Coverage at the Time of Interview",
        "accessURL": "https://www.cdc.gov/nchs/covid19/pulse/health-insurance-coverage.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "BEAM Dashboard - Report Data",
      "description": "The BEAM (Bacteria, Enterics, Amoeba, and Mycotics) Dashboard is an interactive tool to access and visualize data from the System for Enteric Disease Response, Investigation, and Coordination (SEDRIC). The BEAM Dashboard provides timely data on pathogen trends and serotype details to inform work to prevent illnesses from food and animal contact.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/jbhn-e8xn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "SIMSO",
          "hasEmail": "mailto:simso@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/57qz-rujz",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "beam",
        "beam dashboard",
        "escherichia",
        "salmonella"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jbhn-e8xn/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jbhn-e8xn",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jbhn-e8xn/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jbhn-e8xn",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/jbhn-e8xn/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jbhn-e8xn/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jbhn-e8xn",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/jbhn-e8xn/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "BEAM Dashboard - Report Data - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/jbhn-e8xn",
        "description": "BEAM Dashboard - Report Data - Dataset Home",
        "issued": "2025-04-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/57qz-rujz",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/jdch-es95",
      "identifier": "https://data.cdc.gov/api/views/jdch-es95",
      "title": "National Hospital Care Survey, 2020-2022 public-use data",
      "description": "NHCS is conducted by the National Center for Health Statistics (NCHS) and is a member of the National Health Care Surveys – a family of surveys which measure health care utilization across a variety of health care providers and settings. As a principal source of information on health care utilization in the United States, NHCS collects inpatient and emergency department data from a nationally representative sample of U.S. hospitals sourced from administrative and electronic health records data.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "National Hospital Care Survey, 2020-2022 public-use data",
          "description": "NHCS is conducted by the National Center for Health Statistics (NCHS) and is a member of the National Health Care Surveys – a family of surveys which measure health care utilization across a variety of health care providers and settings. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/jdch-es95",
          "modified": "2026-05-05"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-05-05",
      "landingPage": {
        "@type": "Document",
        "title": "National Hospital Care Survey, 2020-2022 public-use data",
        "accessURL": "https://www.cdc.gov/nchs/nhcs/data/index.html"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1V. Malaria to Measles, Imported",
      "description": "NNDSS - TABLE 1V. Malaria to Measles, Imported - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \n\nNotice:  The total numbers of measles cases in Table 1v for weeks 1-51 in the 2019 data are correct but counts for imported and indigenous categories are incorrect. Measles data for week 52 (in Table 1v) were updated on 02-28-2020 to correct the classification of imported and indigenous. Please see week 52, 2019 data for the correct breakout of imported and indigenous measles cases.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\n\n§ Measles is considered imported if the disease was acquired outside of the United States and is considered indigenous if the disease was acquired anywhere within the United States or it is not known where the disease was acquired.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/jf8m-mtc3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "measles imported",
        "2019",
        "malaria",
        "wonder",
        "measles indigenous",
        "nndss",
        "nedss",
        "netss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/jf8m-mtc3/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jf8m-mtc3",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jf8m-mtc3/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jf8m-mtc3",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/jf8m-mtc3/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jf8m-mtc3/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jf8m-mtc3",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1V. Malaria to Measles, Imported - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/jf8m-mtc3",
        "description": "NNDSS - TABLE 1V. Malaria to Measles, Imported - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/jfbs-8cpp",
      "identifier": "https://data.cdc.gov/api/views/jfbs-8cpp",
      "title": "Population Group Estimates used in the Healthy People 2020 Overview of Health Disparities",
      "description": "The Overview of Health Disparities analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included 611 objectives in HP2020. See Technical Notes for the Healthy People 2020 Overview of Health Disparities (https://www.cdc.gov/nchs/healthy_people/hp2020/health-disparities.htm) for additional information and criteria for objectives, data years, and population characteristics included in the analysis and statistical formulas and definitions for the disparities measures.\n\nThis file contains estimates and standard errors for the baseline and final years for individual population groups used in the Overview of Health Disparities analysis. The number and definitions of population groups varied across the HP2020 objectives and data sources used. These population groups are shown in the disparities file as originally reported by the data source, rather than the harmonized categories that were used for the HP2020 Progress by Population Group analysis (https://www.cdc.gov/nchs/healthy_people/hp2020/population-groups.htm). Additionally, for any given objective, the baseline and final years used for the disparities analysis do not necessarily correspond to the baseline and final years used to evaluate progress toward target attainment in the HP2020 Final Review Progress Table (https://www.cdc.gov/nchs/healthy_people/hp2020/progress-tables.htm) and Progress by Population Group analysis (https://www.cdc.gov/nchs/healthy_people/hp2020/population-groups.htm). These distinctions should be considered when merging the downloadable Progress Table or Progress by Population Group data files with the Overview of Health Disparities data files, or when integrative analyses that incorporate both disparities and progress data are conducted.\n\nData for additional years during the HP2020 tracking period that are not included in the Overview of Health Disparities are available on the HP2020 website (https://www.healthypeople.gov/2020/).",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
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        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Population Group Estimates used in the Healthy People 2020 Overview of Health Disparities",
          "description": "The Overview of Health Disparities analysis is a component of the Healthy People 2020 (HP2020) Final Review. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/jfbs-8cpp",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Population Group Estimates used in the Healthy People 2020 Overview of Health Disparities",
        "accessURL": "https://www.cdc.gov/nchs/healthy_people/hp2020/health-disparities.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly COVID-19 County Level of Community Transmission Historical Changes - ARCHIVED",
      "description": "Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will receive a final update on June 1, 2023, to reconcile historical data through May 10, 2023, and will remain publicly available.\n\nThis archived public use dataset contains historical case and percent positivity data updated weekly for all available counties and jurisdictions. Each week, the dataset was refreshed to capture any historical updates. Please note, percent positivity data may be incomplete for the most recent time period.\n\n<b>Related data </b>\nCDC provides the public with two active versions of COVID-19 county-level community transmission level data: this dataset with historical case and percent positivity data for each county from January 22, 2020 (<a href=\"https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn\">Weekly Historical Changes dataset</a>) and a dataset with the levels as originally posted (<a href=\"https://data.cdc.gov/dataset/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6\">Weekly Originally Posted dataset</a>) since October 20, 2022. <b>Please navigate to the <a href=\"https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6\">Weekly Originally Posted dataset</a> for the Community Transmission Levels published weekly on Thursdays.</b>\n\n<b>Methods for calculating county level of community transmission indicator</b>\nThe County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and <a href=\"https://www.cdc.gov/mmwr/volumes/70/wr/mm7030e2.htm?s_cid=mm7030e2_w#T1_down\">here</a>). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making. \n\n<b>CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2</b>\n<b>Total New Case Rate Metric:</b> \"New cases per 100,000 persons in the past 7 days\" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. \"New cases per 100,000 persons in the past 7 days\" is considered to have transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00). \n\n<b>Test Percent Positivity Metric:</b> \"Percentage of positive NAAT in the past 7 days\" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests resulted over the last 7 days. \"Percentage of positive NAAT in the past 7 days\" is considered to have transmission level of Low (less than 5.00); Moderate (5.00-7.99); Substantial (8.00-9.99); and High (greater than or equal to 10.00). \n\n\nThe data in this dataset are considered provisional by CDC and are subject to change until the data are reconciled and verified with the state and territorial data providers. \n\nThis dataset is created using <a href=\"https://www.cdc.gov/maso/policy/policy385.pdf\">CDC’s Policy on Public Health Research and Nonresearch Data Management and Access</a>.\n\n\n<b>Archived data </b>\nCDC has archived two prior versions of these datasets. Both versions contain the same 7 data elements reflecting community transmission levels for all available counties and jurisdictions; however, the datasets updated daily. The archived datasets can be found here:  \n\n<a href=\"https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-of-Community-T",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/jgk8-6dpn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC-INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
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        "county",
        "laboratory",
        "cases",
        "ncird-corvd",
        "community transmission",
        "coronavirus"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jgk8-6dpn/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jgk8-6dpn",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jgk8-6dpn/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jgk8-6dpn",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/jgk8-6dpn/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jgk8-6dpn/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jgk8-6dpn",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/jgk8-6dpn/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly COVID-19 County Level of Community Transmission Historical Changes - ARCHIVED - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/jgk8-6dpn",
        "description": "Weekly COVID-19 County Level of Community Transmission Historical Changes - ARCHIVED - Dataset Home",
        "issued": "2023-02-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-22",
          "endDate": "2023-05-10"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "The effects of diesel exhaust inhalation on cardiovascular function",
      "description": "Air pollution serves as a major risk factor for the development of asthma, respiratory disease and heart disease. Diesel particulate and fumes are a major contributor to air pollution. Workers in a number of different occupations, including mining, oil and gas exploration and refining, and drivers of heavy equipment who are regularly exposed to diesel exhaust while on the job, and persons living in areas with high levels of air pollution, are at an increased risk for developing asthma, cardiovascular disease and certain cancers.\n\nUnderstanding the physiological and cellular effects of diesel exhaust inhalation on Various organs in the body is critical for identifying exposure-induced biological and physiological markers of disease or dysfunction. The experiments in this manuscript, focus on the effects of diesel exhaust (DE) inhalation on peripheral and cardiovascular function. In the current studies, we hypothesized that the development of cardiovascular disease in workers regularly exposed to DE is the result of the inhalation of volatile gases and particulate within the vapor that affect the cardiovascular system by altering physiological and cellular processes that affect peripheral vascular responsiveness to agents that cause blood vessels to constrict and vessels that cause blood vessels to dilate, blood pressure, cardiac output and kidney function (kidney function as it may contribute to changes in blood pressure). We also predicted that these changes in physiology would be associated with changes in the expression of proteins and the production of genes that play a role in regulating oxidative stress, responses to decreases in oxygen, and markers of kidney function that are associated with blood pressure.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/jgkt-w9bh",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Physical Effects Research Branch (PERB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/jgkt-w9bh/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/jgkt-w9bh",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "The effects of diesel exhaust inhalation on cardiovascular function - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/jgkt-w9bh",
        "description": "The effects of diesel exhaust inhalation on cardiovascular function - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2018-2020",
      "description": "2018 to 2020, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/jiwm-ppbh",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHDSP Requests",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/a7ta-3b7u",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "heart disease",
        "cardiovascular disease",
        "cardiovascular",
        "county",
        "heart",
        "counties"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jiwm-ppbh/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jiwm-ppbh",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/jiwm-ppbh/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jiwm-ppbh",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/jiwm-ppbh/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/jiwm-ppbh/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jiwm-ppbh",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2018-2020 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/jiwm-ppbh",
        "description": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2018-2020 - Dataset Home",
        "issued": "2022-11-01",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/a7ta-3b7u",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Gene Expression Profiles of Di-n-butyl Phthalate in Normal Human Mammary Epithelial Cells",
      "description": "Di-n-butyl phthalate is a known endocrine disruptor and has been found in increased levels in women of childbearing age. To investigate mechanisms of phthalate toxicity in normal human cells and to provide information concerning inter-individual variation and gene-environment interactions.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/jj3m-siz7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Physical Effects Research Branch (PERB), National Institute for Occupational Safety and Health (NIOSH) Health Effects Laboratory Division (HELD),",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/jj3m-siz7/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/jj3m-siz7",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Gene Expression Profiles of Di-n-butyl Phthalate in Normal Human Mammary Epithelial Cells - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/jj3m-siz7",
        "description": "Gene Expression Profiles of Di-n-butyl Phthalate in Normal Human Mammary Epithelial Cells - Dataset Home",
        "issued": "2024-11-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative COVID-19 Vaccination Coverage, by Season and Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years",
      "description": "• COVID-19 vaccination coverage among Medicare fee-for-service beneficiaries aged 65 years and older is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS). \n\n• Weekly COVID-19 vaccination coverage estimates were calculated using Kaplan-Meier survival analysis, based on beneficiaries enrolled as of August 1 of each year. For the 2025 ̶ 26 season, COVID-19 vaccines received since August 27, 2025, were included.*",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/jjpx-mxt8",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "iis",
        "nis",
        "vsd",
        "covid-19 vaccination",
        "iqvia"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jjpx-mxt8/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jjpx-mxt8",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jjpx-mxt8/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jjpx-mxt8",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "accessURL": "https://data.cdc.gov/api/views/jjpx-mxt8/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jjpx-mxt8/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jjpx-mxt8",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/jjpx-mxt8/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative COVID-19 Vaccination Coverage, by Season and Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/jjpx-mxt8",
        "description": "Weekly Cumulative COVID-19 Vaccination Coverage, by Season and Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years - Dataset Home",
        "issued": "2025-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Booster Dose Eligibility in the United States",
      "description": "<p style=\"margin:0in;vertical-align:baseline;\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>This site provides historical data related to COVID-19 booster dose eligibility presented on two CDC COVID Data Tracker sites:&nbsp;</span><a href=\"https://covid.cdc.gov/covid-data-tracker/#vaccinations\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>Vaccinations in the US</span></a><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>&nbsp;and&nbsp;</span><a href=\"https://covid.cdc.gov/covid-data-tracker/#vaccination-equity\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>Vaccination Equity</span></a><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>.&nbsp;</span><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>&nbsp;</span><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>Data are updated weekly on Thursdays.</span></p><p style=\"margin:0in;vertical-align:baseline;\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>Some COVID-19 vaccine recipients are&nbsp;</span><a href=\"https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html\" target=\"_blank\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>eligible to receive booster doses</span></a><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>,&nbsp;</span><span style=\"font-size:11px;\">&nbsp;</span><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>and criteria for booster eligibility may change over time. Data and footnotes will be updated to align with the current recommendations.&nbsp;</span><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>&nbsp;</span></p><p style=\"margin:0in;vertical-align:baseline;\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>CDC counts people as having &ldquo;received a booster dose&rdquo; if they are fully vaccinated and received another dose of any COVID-19 vaccine on or after August 13, 2021. This does not distinguish whether the recipient is&nbsp;</span><a href=\"https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html\" target=\"_blank\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>immunocompromised and received an additional dose</span></a></p><p style=\"margin:0in;vertical-align:baseline;\"><strong><em><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>Data Limitations:</span></em></strong><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>&nbsp;</span></p><ul style=\"list-style-type: undefined;margin-left:0in;\"><li><span style='font-family:\"Calibri\",sans-serif;color:black;font-size:11.0pt;color:black;'>The booster eligibility metric excludes fully vaccinated recipients who have an &ldquo;Other&rdquo; primary series vaccine type. </span><span style='font-family:\"Calibri\",sans-serif;font-size:11.0pt;color:black;'>&nbsp;</span></li><li><span style='font-family:\"Calibri\",sans-serif;color:black;font-size:11.0pt;color:black;'>Booster eligibility counts and percentages exclude vaccine administrations reported by Texas as the primary series cannot be linked to booster dose in the aggregate data submitted by Texas.</span><span style='font-family:\"Calibri\",sans-serif;font-size:11.0pt;color:black;'>&nbsp;</span></li></ul><p style=\"margin:0in;vertical-align:baseline;\"><strong><em><span style='font-size:15px;font-family:\"Calibri\",sans-serif;'>Footnotes:</span></em></strong></p><p style=\"margin:0in;vertical-align:baseline;\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;'>CDC counts people as being &ldquo;</span><a href=\"https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html\" target=\"_blank\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:windowtext;'>eligible to get a booster dose</span></a><",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/jk8p-fqhn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/3suw-ciyu",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "sex",
        "vaccination",
        "covid-19",
        "coronavirus",
        "age",
        "administration",
        "demographics",
        "ethnicity",
        "immunization",
        "izdl",
        "race"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jk8p-fqhn/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jk8p-fqhn",
          "mediaType": "text/csv",
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        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/jk8p-fqhn/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jk8p-fqhn",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/jk8p-fqhn/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jk8p-fqhn/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jk8p-fqhn",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/jk8p-fqhn/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19 Booster Dose Eligibility in the United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/jk8p-fqhn",
        "description": "COVID-19 Booster Dose Eligibility in the United States - Dataset Home",
        "issued": "2022-02-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/3suw-ciyu",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-12-13",
          "endDate": "2023-05-12"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "HepTracker Dashboard",
      "description": "This is the underlying dataset for HepTracker (https://www.cdc.gov/hepatitis/php/data-research/heptracker/index.html), which is an interactive dashboard and allows for the timely release of viral hepatitis data. HepTracker provides users the ability to view national case surveillance and viral hepatitis–related mortality data for hepatitis A, hepatitis B, and hepatitis C. Data available on the dashboard are from CDC’s National Notifiable Diseases Surveillance System (NNDSS) (https://www.cdc.gov/nndss/about/index.html) and the National Vital Statistics System (NVSS)(https://www.cdc.gov/nchs/nvss/index.htm). The dataset includes counts and rates for cases and deaths across multiple years, stratified by jurisdiction, race and ethnicity, age groups, and sex. Risk and exposure information is available for acute infections only. These data are important for understanding viral hepatitis trends, informing and developing effective public health programs, and monitoring progress toward eliminating viral hepatitis as a public health threat in the United States. For more information about these data, please see Technical Notes (https://www.cdc.gov/hepatitis/php/data-research/methodology.html).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/jkcx-ndu8",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Divisional of Viral Hepatitis",
          "hasEmail": "mailto:hepatitisdata@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/pmnf-h8bw",
        "@type": "Organization",
        "name": "Division of Viral Hepatitis"
      },
      "keyword": [
        "hepatitis a",
        "hepatitis b",
        "hepatitis c",
        "surveillance",
        "heptracker"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/jkcx-ndu8/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jkcx-ndu8",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jkcx-ndu8/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jkcx-ndu8",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/jkcx-ndu8/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jkcx-ndu8/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jkcx-ndu8",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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      ],
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        "@type": "Document",
        "title": "HepTracker Dashboard - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/jkcx-ndu8",
        "description": "HepTracker Dashboard - Dataset Home",
        "issued": "2026-01-29",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/pmnf-h8bw",
            "@type": "Organization",
            "name": "Division of Viral Hepatitis"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US (50 states and District of Columbia)"
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        "009:027"
      ],
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Efforts to sustain education and subsidized meal programs during COVID-19-related school closures, United States, March-June 2020",
      "description": "Data on distance learning and supplemental feeding programs were collected from a stratified sample of 600 school districts. School districts were divided into quartiles based on the percentage of students eligible for free/reduced-price lunch, an indicator of family economic status, as reported by the National Center for Education Statistics (https://nces.ed.gov/ccd/). A simple random sample was taken in each stratum, and sample size per stratum was calculated using 95% confidence interval of 50% ± 10%. Data on the availability and method of delivery of both distance learning and supplemental feeding programs were collected from publicly available announcements on school district websites and their official social media pages (Facebook, Twitter). Google searches were performed for news resources when information was not available from online district sources.",
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      "identifier": "https://data.cdc.gov/api/views/jkmz-c8jz",
      "contactPoint": [
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          "fn": "Nicole Zviedrite",
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        }
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        "school closure",
        "community mitigation"
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      "modified": "2026-09-09",
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Efforts to sustain education and subsidized meal programs during COVID-19-related school closures, United States, March-June 2020 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/jkmz-c8jz",
        "description": "Efforts to sustain education and subsidized meal programs during COVID-19-related school closures, United States, March-June 2020 - Dataset Home",
        "issued": "2022-01-12",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19-related School Closures: USA, 2020-2022",
      "description": "Unplanned public K-12 school district and individual school closures due to COVID-19 in the United States from August 1, 2020–June 30, 2022.",
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        }
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        "@type": "Organization",
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        "school closure",
        "pandemic preparedness",
        "pandemic",
        "emergency preparedness",
        "covid-19"
      ],
      "modified": "2026-09-22",
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          "mediaType": "application/xml",
          "modified": "2026-09-22",
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          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19-related School Closures: USA, 2020-2022 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/jnru-aqxk",
        "description": "COVID-19-related School Closures: USA, 2020-2022 - Dataset Home",
        "issued": "2024-05-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/gagd-5cdy",
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            "name": "Zviedrite"
          }
        ]
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        "prefLabel": "United States, 50 States and D.C."
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      "inventoried": "2026-09-27"
    },
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      "title": "AH Quarterly Excess Deaths by State, Sex, Age, and Race",
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          "@type": "dcat:Distribution",
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          "modified": "2025-04-21"
        }
      ],
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      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Quarterly Excess Deaths by State, Sex, Age, and Race",
        "accessURL": "https://www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/jqwm-z2g9",
      "identifier": "https://data.cdc.gov/api/views/jqwm-z2g9",
      "title": "NCHS - VSRR Quarterly provisional estimates for infant mortality",
      "description": "Provisional estimates of infant mortality (deaths of infants under 1 year per 1,000 live births), neonatal mortality (deaths of infants aged 0-27 days per 1,000 live births), postneonatal mortality (deaths of infants aged 28 days through 11 months per 1,000 live births), and death rates for the five leading causes of infant death.",
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        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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            "@type": "org:Organization",
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      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - VSRR Quarterly provisional estimates for infant mortality",
          "description": "Provisional estimates of infant mortality (deaths of infants under 1 year per 1,000 live births), neonatal mortality (deaths of infants aged 0-27 days per 1,000 live births), postneonatal mortality (deaths of infants aged 28 days through 11 months per 1,000 live births), and death rates for the five leading causes of infant death. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/jqwm-z2g9",
          "modified": "2026-05-26"
        }
      ],
      "rights": [
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      ],
      "modified": "2026-05-26",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - VSRR Quarterly provisional estimates for infant mortality",
        "accessURL": "https://www.cdc.gov/nchs/nvss/vsrr/infant-mortality.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup",
      "description": "NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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      "identifier": "https://data.cdc.gov/api/views/jr4g-zdpg",
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          "fn": "CDC INFO",
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        }
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        "unknown serogroup",
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      ],
      "modified": "2026-09-08",
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/jr4g-zdpg",
        "description": "NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
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    },
    {
      "@type": "Dataset",
      "title": "SARS-CoV-2 Variant Proportions",
      "description": "To identify and track SARS-CoV-2 variants, CDC uses genomic surveillance. CDC's national genomic surveillance system collects SARS-CoV-2 specimens for sequencing through the National SARS-CoV-2 Strain Surveillance (NS3) program, as well as SARS-CoV-2 sequences generated by commercial or academic laboratories contracted by CDC and state or local public health laboratories. Viral genomic sequences are analyzed and classified as a particular variant. The proportions of variants in a population are estimated nationally, by HHS region, and by jurisdiction. Sequences contributed to CDC’s national genomic sequencing and bioinformatics efforts fuel this U.S. genomic surveillance system established to identify and monitor the spread of SARS-CoV-2 variants.\n\nThese data appear on the CDC website at the following URL: <a href=\"https://www.cdc.gov/covid/php/variants/variants-and-genomic-surveillance.html\">https://www.cdc.gov/covid/php/variants/variants-and-genomic-surveillance.html</a>\n\n\nFor more information on how these data are generated and used to provide estimates of variant proportions, please see the following references:\n\n<ul>\n<li>Paul P, France AM, Aoki Y, et al. Genomic Surveillance for SARS-CoV-2 Variants Circulating in the United States, December 2020–May 2021. MMWR Morb Mortal Wkly Rep 2021;70:846–850. DOI: <a href=\"http://dx.doi.org/10.15585/mmwr.mm7023a3\">http://dx.doi.org/10.15585/mmwr.mm7023a3</a></li>\n<li>Lambrou AS, Shirk P, Steele MK, et al. Genomic Surveillance for SARS-CoV-2 Variants: Predominance of the Delta (B.1.617.2) and Omicron (B.1.1.529) Variants — United States, June 2021–January 2022. MMWR Morb Mortal Wkly Rep 2022;71:206–211. DOI: <a href=\"http://dx.doi.org/10.15585/mmwr.mm7106a4\">http://dx.doi.org/10.15585/mmwr.mm7106a4</a></li></ul>",
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      "identifier": "https://data.cdc.gov/api/views/jr58-6ysp",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Clinton Paden",
          "hasEmail": "mailto:respvirus@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/b7ui-nxqs",
        "@type": "Organization",
        "name": "Clint Paden"
      },
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        "surveillance",
        "sars-cov-2",
        "nowcasting",
        "covid-19",
        "variant surveillance"
      ],
      "modified": "2026-09-22",
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          "mediaType": "application/json",
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          "accessURL": "https://data.cdc.gov/d/jr58-6ysp",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "SARS-CoV-2 Variant Proportions - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/jr58-6ysp",
        "description": "SARS-CoV-2 Variant Proportions - Dataset Home",
        "issued": "2024-09-30",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/b7ui-nxqs",
            "@type": "Organization",
            "name": "Clint Paden"
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        "prefLabel": "United States"
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      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease",
      "description": "NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ju63-2fep",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nndss",
        "wonder",
        "chikungunya virus disease",
        "eastern equine encephalitis virus disease",
        "nedss",
        "netss",
        "2021",
        "anthrax",
        "arboviral diseases"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ju63-2fep/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ju63-2fep",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ju63-2fep/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ju63-2fep",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ju63-2fep/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ju63-2fep/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ju63-2fep",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ju63-2fep/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ju63-2fep/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ju63-2fep",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ju63-2fep/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ju63-2fep",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ju63-2fep/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ju63-2fep",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ju63-2fep",
        "description": "NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months-17 Years, United States",
      "description": "• Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months-17 Years. \n\n• Weekly Influenza vaccination coverage and parental intent for vaccination among children is calculated using data from the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html). NIS–Flu is a national random-digit-dialed cellular telephone survey of households with children ages 6 months–17 years conducted during October-June. The respondent to a NIS–Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.\n\n• The NIS-Flu data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/judz-8etw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "flu vaccination",
        "nis-ccm",
        "nis-flu"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/judz-8etw/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/judz-8etw",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/judz-8etw/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/judz-8etw",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/judz-8etw/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/judz-8etw/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/judz-8etw",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/judz-8etw/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months-17 Years, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/judz-8etw",
        "description": "Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months-17 Years, United States - Dataset Home",
        "issued": "2025-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/jvf6-ix4w",
      "identifier": "https://data.cdc.gov/api/views/jvf6-ix4w",
      "title": "NCHS - Nonmarital Birth Rates, by Age Group for All Women Age 15-44: United States, 1970-2013",
      "description": "https://www.cdc.gov/nchs/data-visualization/births-to-unmarried-women/index.htm",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:births@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Nonmarital Birth Rates, by Age Group for All Women Age 15-44: United States, 1970-2013",
          "description": "https://www.cdc.gov/nchs/data-visualization/births-to-unmarried-women/index.htm. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/jvf6-ix4w",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Nonmarital Birth Rates, by Age Group for All Women Age 15-44: United States, 1970-2013",
        "accessURL": "https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/jwta-jxbg",
      "identifier": "https://data.cdc.gov/api/views/jwta-jxbg",
      "title": "Distribution of COVID-19 Deaths and Populations, by Jurisdiction, Age, and Race and Hispanic Origin",
      "description": "Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nThis visualization provides data that can be used to illustrate potential differences in the burden of deaths due to COVID-19 by race and ethnicity.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Distribution of COVID-19 Deaths and Populations, by Jurisdiction, Age, and Race and Hispanic Origin",
          "description": "Effective September 27, 2023, this dataset will no longer be updated. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/jwta-jxbg",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Distribution of COVID-19 Deaths and Populations, by Jurisdiction, Age, and Race and Hispanic Origin",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/jx6g-fdh6",
      "identifier": "https://data.cdc.gov/api/views/jx6g-fdh6",
      "title": "NCHS - Drug Poisoning Mortality by State: United States (jx6g-fdh6)",
      "description": "This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning from 1999 to 2015.\n\nDeaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).\n\nEstimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.\n\nEstimate does not meet standards of reliability or precision. Death rates are flagged as “Unreliable” in the chart when the rate is calculated with a numerator of 20 or less.\n\nDeath rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Estimates should be interpreted with caution.\n\nSmoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year during 1999–2015. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates are unavailable for Broomfield County, Colo., and Denali County, Alaska, before 2003 (6,7). Additionally, Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. County boundaries are consistent with the vintage 2005-2007 bridged-race population file geographies (6).",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Drug Poisoning Mortality by State: United States (jx6g-fdh6)",
          "description": "This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning from 1999 to 2015. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/jx6g-fdh6",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Drug Poisoning Mortality by State: United States (jx6g-fdh6)",
        "accessURL": "https://www.cdc.gov/nchs/data-visualization/drug-poisoning-mortality/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Tobacco Related Disparities Dashboard Data",
      "description": "2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by age, disability, education, employment, income, mental health status, race and ethnicity, sex, and urban-rural status. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/jxu8-x79m",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/wrvy-mbxy",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "dashboard",
        "tobacco",
        "cigarette smoking",
        "disparities",
        "brfss"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jxu8-x79m/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jxu8-x79m",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jxu8-x79m/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jxu8-x79m",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jxu8-x79m/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jxu8-x79m",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/jxu8-x79m/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State Tobacco Related Disparities Dashboard Data - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/jxu8-x79m",
        "description": "State Tobacco Related Disparities Dashboard Data - Dataset Home",
        "issued": "2024-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/wrvy-mbxy",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NOHSS Adult Indicators",
      "description": "2012-2020 (even years). Data from BRFSS for indicators of adult oral health for even years from 2012 through 2020. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding.  For more information, see: https://www.cdc.gov/oralhealthdata/overview/Adult-Indicators.html.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/jz6n-v26y",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Oral Health Inquiries",
          "hasEmail": "mailto:oralhealth@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "prevalence",
        "access to care",
        "adult",
        "adults",
        "brfss",
        "dental care",
        "dental cleaning",
        "dental visits",
        "dentist",
        "division of oral health",
        "nohss",
        "oral health",
        "surveillance",
        "tooth loss"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Oral-Health/NOHSS-Adult-Indicators/jz6n-v26y"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jz6n-v26y/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jz6n-v26y",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jz6n-v26y/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jz6n-v26y",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/jz6n-v26y/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jz6n-v26y/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jz6n-v26y",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jz6n-v26y/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jz6n-v26y",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jz6n-v26y/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jz6n-v26y",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jz6n-v26y/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jz6n-v26y",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NOHSS Adult Indicators - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/jz6n-v26y",
        "description": "NOHSS Adult Indicators - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Tetanus to Varicella",
      "description": "NNDSS - Table II. Tetanus to Varicella - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/jz7r-jrma",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "2017",
        "wonder",
        "varicella",
        "tetanus",
        "nndss",
        "netss",
        "nedss",
        "mmwr"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jz7r-jrma/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jz7r-jrma",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jz7r-jrma/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jz7r-jrma",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/jz7r-jrma/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/jz7r-jrma/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/jz7r-jrma",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/jz7r-jrma/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Tetanus to Varicella - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/jz7r-jrma",
        "description": "NNDSS - Table II. Tetanus to Varicella - Dataset Home",
        "issued": "2018-01-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2018 release",
      "description": "2016, 2015. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. There are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) in this 2018 release from the 2015 BRFSS that were the same as the 2017 release.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/k25u-mg9b",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "500 Cities Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "unhealthy",
        "500cities",
        "behaviors",
        "census",
        "cities",
        "gis",
        "outcomes",
        "prevalence",
        "prevention",
        "tract"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/k25u-mg9b/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k25u-mg9b",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/k25u-mg9b/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k25u-mg9b",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/k25u-mg9b/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/k25u-mg9b/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k25u-mg9b",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/k25u-mg9b/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/k25u-mg9b/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k25u-mg9b",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/k25u-mg9b/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k25u-mg9b",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/k25u-mg9b/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k25u-mg9b",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2018 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/k25u-mg9b",
        "description": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2018 release - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Pulmonary toxicity and gene expression changes in response to whole-body inhalation exposure to multi-walled carbon nanotubes in rats-Dataset",
      "description": "Nanomaterials represent a new class of materials with numerous industrial applications. Considering the projected increase in the production and use of nanomaterials, a corresponding increase in occupational exposure to nanomaterials and their resulting adverse health effects may be anticipated among workers. There is substantial evidence in the literature, based on cell culture and animal studies, supporting the potential toxicity and detrimental health effects associated with exposure to nanomaterials. Intervention and/or prevention of adverse health effects associated with occupational exposure to toxic nanomaterials is a concern for health providers and regulatory and non-regulatory government agencies as the use of nanomaterials expand. A key element in the intervention and/or prevention of the adverse health effects associated with occupational exposure to toxic nanomaterials is a clear understanding of the molecular mechanisms underlying the pulmonary toxicity induced by nanomaterials.\n\nDue to its physicochemical and mechanical properties, multi-walled carbon nanotubes (MWCNT) have found many industrial applications. There is potential for human exposure to MWCNT or products that contain MWCNT both during the production and use of the materials that contain MWCNT. The objectives of the current study were to investigate MWCNT-induced lung toxicity and the molecular mechanisms underlying that toxicity. A rat inhalation exposure model was employed to determine the lung toxicity induced by MWCNT. Global gene expression profiles in the lung and blood were conducted to determine the molecular mechanisms underlying MWCNT-induced lung toxicity.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/k2fe-zny8",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Toxicology and Molecular Biology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/k2fe-zny8/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/k2fe-zny8",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Pulmonary toxicity and gene expression changes in response to whole-body inhalation exposure to multi-walled carbon nanotubes in rats-Dataset - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/k2fe-zny8",
        "description": "Pulmonary toxicity and gene expression changes in response to whole-body inhalation exposure to multi-walled carbon nanotubes in rats-Dataset - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative RSV Vaccination Coverage and Intent, Overall, by Selected Demographics and Jurisdiction, Among Adults 75 and Older and 60-74 Years with High-Risk Conditions Ever Vaccinated, United States",
      "description": "• Weekly Cumulative RSV Vaccination Coverage and Intent Among Adults 75 Years and Older and 60─74 Years with High Risk Conditions Ever Vaccinated with RSV Vaccine by Demographic Characteristics and Jurisdiction \n\n• Weekly estimates of RSV vaccination coverage and intent among adults 75 years and older and 60─74 years with high risk conditions are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/index.html). \n\n• In June 2023, the Advisory Committee on Immunization Practices (ACIP) voted to recommend that adults aged ≥60 years may receive a single dose of an RSV vaccine, using shared clinical decision-making. In June 2024, the ACIP voted to recommend a single dose of RSV vaccine for all adults 75 years and older and adults 60–74 years who are at increased risk for severe RSV disease. The data below captures ever receiving a dose of an RSV vaccine by adults 60 years and older.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/k4cb-dxd7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "nis-flu",
        "rsv vaccination",
        "iis",
        "vsd",
        "nis-acm",
        "iqvia"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/k4cb-dxd7/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k4cb-dxd7",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/k4cb-dxd7/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k4cb-dxd7",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/k4cb-dxd7/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/k4cb-dxd7/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k4cb-dxd7",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/k4cb-dxd7/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative RSV Vaccination Coverage and Intent, Overall, by Selected Demographics and Jurisdiction, Among Adults 75 and Older and 60-74 Years with High-Risk Conditions Ever Vaccinated, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/k4cb-dxd7",
        "description": "Weekly Cumulative RSV Vaccination Coverage and Intent, Overall, by Selected Demographics and Jurisdiction, Among Adults 75 and Older and 60-74 Years with High-Risk Conditions Ever Vaccinated, United States - Dataset Home",
        "issued": "2025-05-20",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Going Smokefree Matters - In Your Home Infographic",
      "description": "Explore the Going Smokefree Matters – In Your Home Infographic which outlines key facts related to the effects of secondhand smoke exposure in the home.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/k4xj-uge6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "secondhand smoke",
        "fact sheet",
        "smokefree",
        "infographic",
        "housing"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/k4xj-uge6/application/pdf",
          "accessURL": "https://data.cdc.gov/d/k4xj-uge6",
          "mediaType": "application/pdf",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Going Smokefree Matters - In Your Home Infographic - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/k4xj-uge6",
        "description": "Going Smokefree Matters - In Your Home Infographic - Dataset Home",
        "issued": "2016-06-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "500 Cities: City-level Data (GIS Friendly Format), 2016 release",
      "description": "2014, 2013. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/k56w-7tny",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "500 Cities Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "estimates",
        "500cities",
        "prevalence",
        "city"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/500-Cities/500-Cities-City-level-Data-GIS-Friendly-Format-201/k56w-7tny"
      },
      "distribution": [
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          "modified": "2026-09-22"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/k56w-7tny/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k56w-7tny",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/k56w-7tny/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/k56w-7tny/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k56w-7tny",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/api/views/k56w-7tny/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/k56w-7tny/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k56w-7tny",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/k56w-7tny/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k56w-7tny",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/k56w-7tny/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k56w-7tny",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "500 Cities: City-level Data (GIS Friendly Format), 2016 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/k56w-7tny",
        "description": "500 Cities: City-level Data (GIS Friendly Format), 2016 release - Dataset Home",
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      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Disability and Health Data System (DHDS)",
      "description": "Disability and Health Data System (DHDS) is an online source of state-level data on adults with disabilities. Users can access information on six functional disability types: cognitive (serious difficulty concentrating, remembering or making decisions), hearing (serious difficulty hearing or deaf), mobility (serious difficulty walking or climbing stairs), vision (serious difficulty seeing), self-care (difficulty dressing or bathing) and independent living (difficulty doing errands alone).",
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          "fn": "CDC Info",
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        "dhds"
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      "modified": "2026-09-22",
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    },
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      "@type": "Dataset",
      "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2019 release",
      "description": "2017, 2016. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. There are 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.",
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      "identifier": "https://data.cdc.gov/api/views/k86t-wghb",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "500 Cities Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/r74h-6zta",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "outcomes",
        "500cities",
        "behaviors",
        "census",
        "cities",
        "gis",
        "prevalence",
        "prevention",
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        "unhealthy"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-level-Data-GIS-Friendly-Fo/k86t-wghb"
      },
      "distribution": [
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/k86t-wghb/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k86t-wghb",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/k86t-wghb/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k86t-wghb",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/k86t-wghb/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k86t-wghb",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2019 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/k86t-wghb",
        "description": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2019 release - Dataset Home",
        "issued": "2017-12-04",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/r74h-6zta",
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            "name": "Centers for Disease Control and Prevention"
          }
        ]
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        "009:020"
      ],
      "accessRights": "public",
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    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Doses (in Millions) of Influenza Vaccine Distributed by Flu Season in the United States",
      "description": "Weekly Cumulative Doses (in Millions) of Influenza Vaccine Distributed by Flu Season in the United States\n\n•  Archived data are available here:  https://data.cdc.gov/resource/e5zk-7tx5 \n•  Flu vaccine is produced by private manufacturers, so supply depends on manufacturers. Vaccine manufacturers have projected that they will supply the United States with as many as 173.5 million to 183.5 million doses of influenza vaccines for the 2022-2023 season. \n•  Additional information is available: https://www.cdc.gov/flu/prevent/vaccine-supply-distribution.htm.",
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      "contactPoint": [
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          "@type": "Kind",
          "fn": "Vax Views",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "influenza",
        "flu",
        "flu vaccination"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/k87d-gv3u/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k87d-gv3u",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/k87d-gv3u/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k87d-gv3u",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/k87d-gv3u/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/k87d-gv3u/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k87d-gv3u",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/k87d-gv3u/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Doses (in Millions) of Influenza Vaccine Distributed by Flu Season in the United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/k87d-gv3u",
        "description": "Weekly Cumulative Doses (in Millions) of Influenza Vaccine Distributed by Flu Season in the United States - Dataset Home",
        "issued": "2022-09-30",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
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      ],
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2011 (Part 10 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 18 of 48 and corresponds to the time range between April 18, 2011, and May 2, 2011.",
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      "identifier": "https://data.cdc.gov/api/views/k87s-sncz",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/k87s-sncz/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/k87s-sncz",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 10 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/k87s-sncz",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 10 of 19) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Nutrition, Physical Activity, and Obesity - Policy and Environmental Data",
      "description": "This dataset includes data on policy and environmental supports for physical activity, diet, and breastfeeding. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/k8w5-7ju6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DNPAO Public Inquiries",
          "hasEmail": "mailto:dnpaoinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/8kpq-utgy",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "vegetable",
        "nutrition",
        "fruit",
        "breastfeeding",
        "dnpao",
        "physical activity"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-Policy-and/k8w5-7ju6"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/k8w5-7ju6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/k8w5-7ju6",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
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        "outcomes",
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kee5-23sr/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kee5-23sr",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kee5-23sr/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kee5-23sr/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kee5-23sr",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kee5-23sr/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kee5-23sr",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kee5-23sr/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kee5-23sr",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: ZCTA Data (GIS Friendly Format), 2025 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/kee5-23sr",
        "description": "PLACES: ZCTA Data (GIS Friendly Format), 2025 release - Dataset Home",
        "issued": "2025-12-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Ehrlichiosis/Anaplasmosis",
      "description": "NNDSS - Table II. Ehrlichiosis/Anaplasmosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. \r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.   Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n \r\n* Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n§ Please refer to the MMWR publication for weekly updates to the footnote for this condition.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/keia-pvvn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "ehrlichiosis/anaplasmosis",
        "2016",
        "undetermined",
        "wonder",
        "mmwr",
        "nedss",
        "netss",
        "nndss",
        "anaplasma phagocytophilum",
        "ehrlichia chaffeensis"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/keia-pvvn/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/keia-pvvn",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/keia-pvvn/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/keia-pvvn",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/keia-pvvn/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/keia-pvvn/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/keia-pvvn",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/keia-pvvn/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Ehrlichiosis/Anaplasmosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/keia-pvvn",
        "description": "NNDSS - Table II. Ehrlichiosis/Anaplasmosis - Dataset Home",
        "issued": "2017-01-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months -17 Years Who are Up to date with the COVID-19 Vaccines by Season, United States",
      "description": "• Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months-17 Years Who are Up to date with the COVID-19 Vaccines by Season.  \n\n• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM). (https://www.cdc.gov/nis/about/index.html). The NIS-CCM was discontinued at the end of 2023 and questions regarding COVID-19 vaccination status and intent were added to the National Immunization Survey-Flu (NIS-Flu) (https://www.cdc.gov/nis/about/index.html).  \n\n• NIS-CCM and NIS-Flu are national random-digit dial cellular telephone surveys of households with children ages 6 months through 17 years; NIS-Flu is conducted during October-June. The respondent to a NIS-Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination. \n\n• Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 and 2025–26 COVID-19 vaccines were first available at the end of August 2024 and 2025, respectively.  \n\n• The NIS-Flu data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ker6-gs6z",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "covid-19 vaccination",
        "nis-ccm"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ker6-gs6z/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ker6-gs6z",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ker6-gs6z/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ker6-gs6z",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ker6-gs6z/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ker6-gs6z/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ker6-gs6z",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ker6-gs6z/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months -17 Years Who are Up to date with the COVID-19 Vaccines by Season, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ker6-gs6z",
        "description": "Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months -17 Years Who are Up to date with the COVID-19 Vaccines by Season, United States - Dataset Home",
        "issued": "2026-06-09",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Evaluation of A Passive Back-Support Exoskeleton during In-Bed Patient Handling Tasks",
      "description": "The objective of this study was to evaluate the effect of a back-support exoskeleton (Laevo V2.5) on the trunk and hip angles, low back muscle activity, and heart rate during in-bed patient handling tasks. Eight participants (5 males and 3 females) performed four different in-bed patient handling tasks, including sitting to lying, repositioning toward the caregiver, turning toward the caregiver, and turning away from the caregiver.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/kgid-f54m",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Physical Effects Research Branch, Health Effects Laboratory Division",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/kgid-f54m/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/kgid-f54m",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Evaluation of A Passive Back-Support Exoskeleton during In-Bed Patient Handling Tasks - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/kgid-f54m",
        "description": "Evaluation of A Passive Back-Support Exoskeleton during In-Bed Patient Handling Tasks - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County",
      "description": "2014 to 2016, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/kgsi-35re",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHDSP Requests",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/a7ta-3b7u",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "cardiovascular disease",
        "stroke",
        "county",
        "cerebrovascular disease"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kgsi-35re/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kgsi-35re",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kgsi-35re/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kgsi-35re",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kgsi-35re/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kgsi-35re/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kgsi-35re",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kgsi-35re/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kgsi-35re/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kgsi-35re",
          "mediaType": "application/geo+json",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kgsi-35re/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kgsi-35re",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kgsi-35re/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kgsi-35re",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/kgsi-35re",
        "description": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/a7ta-3b7u",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/odbl/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "HHS Provider Relief Fund",
      "description": "HHS is providing support to healthcare providers fighting the coronavirus disease 2019 (COVID-19) pandemic through the bipartisan Coronavirus Aid, Relief, & Economic Security (CARES) Act; the Paycheck Protection Program and Health Care Enhancement Act (PPPHCEA); and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act, which provide a total of $178 billion for relief funds to hospitals and other healthcare providers on the front lines of the COVID-19 response. This funding supports healthcare-related expenses or lost revenue attributable to COVID-19 and ensures uninsured Americans can get treatment for COVID-19. HHS is distributing this Provider Relief Fund (PRF) money and these payments do not need to be repaid.\n\nThe Department allocated $50 billion in PRF payments for general distribution to Medicare facilities and providers impacted by COVID-19, based on eligible providers' net reimbursement. HHS has made other PRF distributions to a wide array of health care providers and more information on those distributions can be found here: https://www.hhs.gov/coronavirus/cares-act-provider-relief-fund/data/index.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/kh8y-3es6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "HRSA Chief Data Officer",
          "hasEmail": "mailto:PRFdata@hrsa.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/tjyw-xtku",
        "@type": "Organization",
        "name": "HRSA"
      },
      "keyword": [
        "cares act",
        "provider relief fund",
        "health system"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kh8y-3es6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kh8y-3es6",
          "mediaType": "text/csv",
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        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kh8y-3es6/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kh8y-3es6",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kh8y-3es6/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kh8y-3es6/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kh8y-3es6",
          "mediaType": "application/xml",
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          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kh8y-3es6/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "HHS Provider Relief Fund - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/kh8y-3es6",
        "description": "HHS Provider Relief Fund - Dataset Home",
        "issued": "2020-05-06",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/tjyw-xtku",
            "@type": "Organization",
            "name": "HRSA"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:15"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "BEAM Dashboard - Isolates by HHS Region",
      "description": "The BEAM (Bacteria, Enterics, Amoeba, and Mycotics) Dashboard is an interactive tool to access and visualize data from the System for Enteric Disease Response, Investigation, and Coordination (SEDRIC). The BEAM Dashboard provides timely data on pathogen trends and serotype details to inform work to prevent illnesses from food and animal contact.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/khic-yj26",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "SIMSO",
          "hasEmail": "mailto:simso@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/57qz-rujz",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "beam",
        "escherichia",
        "beam dashboard",
        "salmonella"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/khic-yj26/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/khic-yj26",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/khic-yj26/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/khic-yj26",
          "mediaType": "application/json",
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            "accessURL": "https://data.cdc.gov/api/views/khic-yj26/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/khic-yj26/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/khic-yj26",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/khic-yj26/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "BEAM Dashboard - Isolates by HHS Region - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/khic-yj26",
        "description": "BEAM Dashboard - Isolates by HHS Region - Dataset Home",
        "issued": "2022-11-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/57qz-rujz",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1I. Cryptosporidiosis to Cyclosporiasis",
      "description": "NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/khjf-tq2k",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "netss",
        "nndss",
        "2019",
        "wonder",
        "nedss",
        "cyclosporiasis",
        "cryptosporidiosis"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/khjf-tq2k/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/khjf-tq2k",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/khjf-tq2k/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/khjf-tq2k",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/khjf-tq2k/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/khjf-tq2k/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/khjf-tq2k",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/khjf-tq2k/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1I. Cryptosporidiosis to Cyclosporiasis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/khjf-tq2k",
        "description": "NNDSS - TABLE 1I. Cryptosporidiosis to Cyclosporiasis - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Cryptosporidiosis to Dengue",
      "description": "NNDSS - Table II. Cryptosporidiosis to Dengue - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP:  Nationally notifiable but not published.  Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n* Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.   Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n§ Includes data for dengue and dengue-like illness. Office of Management and Budget approval of the NNDSS Revision #0920-0728 on January 21, 2016, authorized CDC to receive data for these conditions. CDC is in the process of soliciting data for these conditions.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/kikd-77zw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "dengue",
        "cryptosporidiosis",
        "severe dengue",
        "wonder",
        "2016",
        "netss",
        "nndss",
        "nedss",
        "mmwr",
        "dengue virus infection"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kikd-77zw/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kikd-77zw",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kikd-77zw/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kikd-77zw",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kikd-77zw/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kikd-77zw/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kikd-77zw",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kikd-77zw/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Cryptosporidiosis to Dengue - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/kikd-77zw",
        "description": "NNDSS - Table II. Cryptosporidiosis to Dengue - Dataset Home",
        "issued": "2017-01-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percent Positivity of Viral Detections Among Enrolled Children in the New Vaccine Surveillance Network (NVSN), Acute Respiratory Illnesses (ARI), 2017–Present",
      "description": "Percent positivity of 9 viral pathogens, by season and age group, 2017–Present.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/kipu-qxy8",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC-INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "rsv",
        "covid-19",
        "influenza",
        "adenovirus",
        "rhinovirus",
        "enterovirus",
        "human coronaviruses",
        "parainfluenza virus",
        "human metapneumovirus",
        "evd-68",
        "viral detections",
        "respiratory illness",
        "pediatric",
        "medically attended illness",
        "ncird-corvd"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kipu-qxy8/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kipu-qxy8",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kipu-qxy8/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kipu-qxy8",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kipu-qxy8/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kipu-qxy8/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kipu-qxy8",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kipu-qxy8/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percent Positivity of Viral Detections Among Enrolled Children in the New Vaccine Surveillance Network (NVSN), Acute Respiratory Illnesses (ARI), 2017–Present - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/kipu-qxy8",
        "description": "Percent Positivity of Viral Detections Among Enrolled Children in the New Vaccine Surveillance Network (NVSN), Acute Respiratory Illnesses (ARI), 2017–Present - Dataset Home",
        "issued": "2024-01-30",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/kk8c-wtm4",
      "identifier": "https://data.cdc.gov/api/views/kk8c-wtm4",
      "title": "Physician Experiences Related to COVID-19 from the National Ambulatory Medical Care Survey",
      "description": "The National Ambulatory Medical Care Survey (NAMCS), conducted by the National Center for Health Statistics (NCHS), collects data on visits to physician offices to describe patterns of ambulatory care delivery in the United States. As part of NAMCS, the Physician Induction Interview collects information about practice characteristics at physician offices. Partway through the 2020 NAMCS, NCHS added questions to the Physician Induction Interview to assess physician experiences related to COVID-19 in office-based settings.\n\nThe data include nationally representative estimates of experiences related to COVID-19 among office-based physicians in the United States, including: shortages of personal protective equipment (PPE) in the past 3 months; the ability to test for COVID-19 in the past 3 months; providers testing positive for COVID-19 in the past 3 months; turning away COVID-19 patients in the past 3 months; and telemedicine or telehealth technology use before and after March 2020.  Estimates were derived from interviews with physicians in periods 3 and 4 of 2020 NAMCS and periods 1 through 4 of 2021 NAMCS, which occurred between December 15, 2020 and May 6, 2022.  The data are considered preliminary, and the results may change with the final data release.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Physician Experiences Related to COVID-19 from the National Ambulatory Medical Care Survey",
          "description": "The National Ambulatory Medical Care Survey (NAMCS), conducted by the National Center for Health Statistics (NCHS), collects data on visits to physician offices to describe patterns of ambulatory care delivery in the United States. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/kk8c-wtm4",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Physician Experiences Related to COVID-19 from the National Ambulatory Medical Care Survey",
        "accessURL": "https://www.cdc.gov/nchs/covid19/namcs.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic",
      "description": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/kkix-nh4v",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "wonder",
        "chronic",
        "acute",
        "2022",
        "netss",
        "nedss",
        "nndss",
        "q fever",
        "total"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kkix-nh4v/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kkix-nh4v",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kkix-nh4v/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kkix-nh4v",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kkix-nh4v/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kkix-nh4v/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kkix-nh4v",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kkix-nh4v/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kkix-nh4v/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kkix-nh4v",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kkix-nh4v/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kkix-nh4v",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kkix-nh4v/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kkix-nh4v",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/kkix-nh4v",
        "description": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Effects of inhaled tier-2 diesel engine exhaust on immunotoxicity in a rat model:  A hazard identification study. Part III. Immunotoxicology",
      "description": "Diesel exhaust (DE) is an air pollutant containing gaseous compounds and particulate matter.  Diesel engines are common on gas extraction and oil sites, leading to complex DE exposure to a broad range of compounds through occupational settings.  The US EPA concluded that short-term exposure to DE leads to allergic inflammatory disorders of the airways.  To further evaluate the immunotoxicity of DE, the effects of whole-body inhalation of 0.2 and 1 mg/m3 DE (total carbon; 6 h/d for 4 days) were investigated 1-, 7-, and 27-days post exposure in Sprague-Dawley rats using an occupationally relevant exposure system.  DE exposure of 1 mg/m3 increased total cellularity, number of CD4+ and CD8+ T-cells, and B-cells at 1 d post-exposure in the lung lymph nodes.  At 7 d post-exposure to 1 mg/m3, cellularity and the number of CD4+ and CD8+ T-cells decreased in the LLNs.  In the bronchoalveolar lavage, B-cell number and frequency increased at 1 d post-exposure, Natural Killer cell number and frequency decreased at 7 d post-exposure, and at 27 d post-exposure CD8+ T-cell and CD11b+ cell number and frequency decreased with 0.2 mg/m3 exposure.  In the spleen, 0.2 mg/m3 increased CD4+ T-cell frequency at 1 and 7 d post-exposure and at 27 d post-exposure increased CD4+ and CD8+ T-cell number and CD8+ T-cell frequency.  B-cells were the only immune cell subset altered in the three tissues (spleen, LLNs, and BALF), suggesting the induction of the adaptive immune response.  The increase in lymphocytes in several different organ types also suggests an induction of a systemic inflammatory response occurring following DE exposure.  These results show that DE exposure induced modifications of cellularity of phenotypic subsets that may impair immune function and contribute to airway inflammation induced by DE exposure in rats.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/kkvj-587h",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Allergy and Clinical Immunology Branch (ACIB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/kkvj-587h/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/kkvj-587h",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Effects of inhaled tier-2 diesel engine exhaust on immunotoxicity in a rat model:  A hazard identification study. Part III. Immunotoxicology - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/kkvj-587h",
        "description": "Effects of inhaled tier-2 diesel engine exhaust on immunotoxicity in a rat model:  A hazard identification study. Part III. Immunotoxicology - Dataset Home",
        "issued": "2024-12-27",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Vaccination Demographics in the United States,National",
      "description": "Overall Demographic Characteristics of People Receiving COVID-19 Vaccinations in the United States at national level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities. ",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/km4m-vcsb",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/3suw-ciyu",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "coronavirus",
        "covid-19",
        "vaccination",
        "sex",
        "race",
        "izdl",
        "ethnicity",
        "immunization",
        "demographics",
        "administration",
        "age"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/km4m-vcsb/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/km4m-vcsb",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/km4m-vcsb/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/km4m-vcsb",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/km4m-vcsb/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/km4m-vcsb/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/km4m-vcsb",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/km4m-vcsb/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19 Vaccination Demographics in the United States,National - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/km4m-vcsb",
        "description": "COVID-19 Vaccination Demographics in the United States,National - Dataset Home",
        "issued": "2022-11-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/3suw-ciyu",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-12-13",
          "endDate": "2023-05-12"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/km5s-4339",
      "identifier": "https://data.cdc.gov/api/views/km5s-4339",
      "title": "Medicaid coverage among persons under age 65, by selected characteristics: United States",
      "description": "Data on Medicaid coverage among persons under age 65 by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time.\n\nSOURCE: NCHS, National Health Interview Survey, health insurance supplements (1984, 1989, 1994-1996). Starting with 1997, data are from the family core and the sample adult questionnaires. Data for level of difficulty are from the 2010 Quality of Life, 2011-2017 Functioning and Disability, and 2018 Sample Adult questionnaires. For more information on the National Health Interview Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Medicaid coverage among persons under age 65, by selected characteristics: United States",
          "description": "Data on Medicaid coverage among persons under age 65 by selected population characteristics. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/km5s-4339",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Medicaid coverage among persons under age 65, by selected characteristics: United States",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Cumulative Influenza Vaccination Coverage, Adults 18 years and older, by Age Group and Race/Ethnicity, United States",
      "description": "Cumulative Influenza Vaccination Coverage, Adults 18 years and older, by Age Group and Race/Ethnicity, United States, 2020-21, IPSOS Knowledge Panel Omnibus and NORC AmeriSpeak Omnibus Surveys",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/kmap-fsfn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vax Views",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "flu",
        "age group",
        "adults",
        "race",
        "flu vaccination",
        "ethnicity",
        "vaccination"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kmap-fsfn/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kmap-fsfn",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kmap-fsfn/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kmap-fsfn",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kmap-fsfn/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kmap-fsfn/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kmap-fsfn",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kmap-fsfn/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Cumulative Influenza Vaccination Coverage, Adults 18 years and older, by Age Group and Race/Ethnicity, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/kmap-fsfn",
        "description": "Cumulative Influenza Vaccination Coverage, Adults 18 years and older, by Age Group and Race/Ethnicity, United States - Dataset Home",
        "issued": "2021-01-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: County Data (GIS Friendly Format), 2021 release",
      "description": "This dataset contains model-based county-level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2019 or 2018 county population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2015 county boundary file in a GIS system to produce maps for 29 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/kmvs-jkvx",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "behaviors",
        "prevention",
        "risk",
        "status",
        "prevalence",
        "county",
        "gis",
        "health",
        "outcomes",
        "places"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kmvs-jkvx/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kmvs-jkvx",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kmvs-jkvx/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kmvs-jkvx",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kmvs-jkvx/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kmvs-jkvx/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kmvs-jkvx",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kmvs-jkvx/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kmvs-jkvx/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kmvs-jkvx",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kmvs-jkvx/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kmvs-jkvx",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kmvs-jkvx/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kmvs-jkvx",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: County Data (GIS Friendly Format), 2021 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/kmvs-jkvx",
        "description": "PLACES: County Data (GIS Friendly Format), 2021 release - Dataset Home",
        "issued": "2022-10-11",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Total COVID-19 Deaths since January 1, 2020 by Age Group, Race/Ethnicity, and Sex",
      "description": "Count and percent of total COVID-19 deaths since January 1, 2020, by age group, race/ethnicity, and sex",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/kmxt-xb3i",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "COVID Surveillance",
          "hasEmail": "mailto:COVIDsurveillance@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "CORVD"
      },
      "keyword": [
        "covid-19",
        "demographics",
        "coronavirus",
        "mortality",
        "deaths",
        "ncird-corvd"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kmxt-xb3i/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kmxt-xb3i",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kmxt-xb3i/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kmxt-xb3i",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kmxt-xb3i/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kmxt-xb3i/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kmxt-xb3i",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kmxt-xb3i/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Total COVID-19 Deaths since January 1, 2020 by Age Group, Race/Ethnicity, and Sex - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/kmxt-xb3i",
        "description": "Total COVID-19 Deaths since January 1, 2020 by Age Group, Race/Ethnicity, and Sex - Dataset Home",
        "issued": "2023-11-16",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "CORVD"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/kn79-hsxy",
      "identifier": "https://data.cdc.gov/api/views/kn79-hsxy",
      "title": "Provisional COVID-19 Death Counts in the United States by County",
      "description": "Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from  CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html)\n\nProvisional count of deaths involving COVID-19 by county of occurrence, in the United States, 2020-2023.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Provisional COVID-19 Death Counts in the United States by County",
          "description": "Effective June 28, 2023, this dataset will no longer be updated. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/kn79-hsxy",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Provisional COVID-19 Death Counts in the United States by County",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2020 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/knu9-e7pg",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ARTINFO",
          "hasEmail": "mailto:ARTINFO@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/uj8q-r4hw",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "art",
        "success rates",
        "assisted reproductive technology",
        "clinic",
        "fertility",
        "infertility",
        "services"
      ],
      "modified": "2026-09-23",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/2020-Final-Assisted-Reproductive-Technology-ART-Pa/knu9-e7pg"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/knu9-e7pg/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/knu9-e7pg",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/knu9-e7pg/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/knu9-e7pg",
          "mediaType": "application/json",
          "modified": "2026-09-23",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/knu9-e7pg/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/knu9-e7pg",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
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            "accessURL": "https://data.cdc.gov/api/views/knu9-e7pg/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/knu9-e7pg/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/knu9-e7pg",
          "mediaType": "application/geo+json",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/knu9-e7pg/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/knu9-e7pg",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/knu9-e7pg/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/knu9-e7pg",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "2020 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/knu9-e7pg",
        "description": "2020 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/uj8q-r4hw",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "U.S. State and Territorial Orders Closing and Reopening Bars Issued from March 11, 2020 through May 31, 2021 by County by Day",
      "description": "State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when bars in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data can be used to determine when bars in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.\n\nThese data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly close or reopen bars found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through May 31, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/kp49-9dp8",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "T.J. Pierce",
          "hasEmail": "mailto:pwc2@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/qwcg-irwv",
        "@type": "Organization",
        "name": "Environmental Public Health Tracking"
      },
      "keyword": [
        "covid-19",
        "public health order",
        "proclamation",
        "mitigation",
        "government order",
        "executive order",
        "legal epidemiology",
        "social distancing",
        "business closure",
        "business reopening"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kp49-9dp8/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kp49-9dp8",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/kp49-9dp8/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kp49-9dp8",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kp49-9dp8/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kp49-9dp8",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kp49-9dp8/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "U.S. State and Territorial Orders Closing and Reopening Bars Issued from March 11, 2020 through May 31, 2021 by County by Day - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/kp49-9dp8",
        "description": "U.S. State and Territorial Orders Closing and Reopening Bars Issued from March 11, 2020 through May 31, 2021 by County by Day - Dataset Home",
        "issued": "2022-03-30",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/qwcg-irwv",
            "@type": "Organization",
            "name": "Environmental Public Health Tracking"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1V. Malaria to Measles, Indigenous",
      "description": "NNDSS - TABLE 1V. Malaria to Measles, Indigenous - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/kpbd-vsd5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "2022",
        "indigenous",
        "malaria",
        "measles",
        "nedss",
        "netss",
        "nndss",
        "wonder",
        "imported"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kpbd-vsd5/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kpbd-vsd5",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/kpbd-vsd5/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kpbd-vsd5",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kpbd-vsd5/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kpbd-vsd5/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kpbd-vsd5",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kpbd-vsd5/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kpbd-vsd5/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kpbd-vsd5",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kpbd-vsd5/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kpbd-vsd5",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kpbd-vsd5/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kpbd-vsd5",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1V. Malaria to Measles, Indigenous - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/kpbd-vsd5",
        "description": "NNDSS - TABLE 1V. Malaria to Measles, Indigenous - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/krhz-spsc",
      "identifier": "https://data.cdc.gov/api/views/krhz-spsc",
      "title": "NHIS Adult 3-Year Summary Health Statistics",
      "description": "Interactive Summary Health Statistics for Adults, by Detailed Race and Ethnicity provide estimates as three-year averages of selected health topics for adults aged 18 years and over based on final data from the National Health Interview Survey.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NHIS Adult 3-Year Summary Health Statistics",
          "description": "Interactive Summary Health Statistics for Adults, by Detailed Race and Ethnicity provide estimates as three-year averages of selected health topics for adults aged 18 years and over based on final data from the National Health Interview Survey. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/krhz-spsc",
          "modified": "2025-09-18"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-09-18",
      "landingPage": {
        "@type": "Document",
        "title": "NHIS Adult 3-Year Summary Health Statistics",
        "accessURL": "https://www.cdc.gov/nchs/nhis/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2011 (Part 18 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 26 of 48 and corresponds to the time range between November 14, 2011, and December 26, 2011.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/krj5-etgr",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/krj5-etgr/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/krj5-etgr",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 18 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/krj5-etgr",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 18 of 19) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PONE-D-15-23803",
      "description": "This data set is from 3 surveys conducted in two districts in western Kenya following the scale up of insecticide treated nets and the implementation of IRS in one of the districts.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/krkm-t59m",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "John Gimnig",
          "hasEmail": "mailto:hzg1@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/iuhx-tkn8",
        "@type": "Organization",
        "name": "John Gimnig"
      },
      "keyword": [
        "malaria"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/krkm-t59m/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/krkm-t59m",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/krkm-t59m/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/krkm-t59m",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/krkm-t59m/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/krkm-t59m/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/krkm-t59m",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/krkm-t59m/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PONE-D-15-23803 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/krkm-t59m",
        "description": "PONE-D-15-23803 - Dataset Home",
        "issued": "2015-11-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/iuhx-tkn8",
            "@type": "Organization",
            "name": "John Gimnig"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:036"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, Place Data 2023 release",
      "description": "This dataset contains model-based place (incorporated and census-designated places) estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/krqc-563j",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "prevention",
        "status",
        "behaviors",
        "brfss",
        "city",
        "disability",
        "health",
        "outcomes",
        "place",
        "places",
        "prevalence",
        "risk"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-Place-Data-202/eav7-hnsx"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/krqc-563j/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/krqc-563j",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/krqc-563j/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/krqc-563j",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/krqc-563j/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "mediaType": "application/xml",
          "modified": "2026-09-22",
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          "modified": "2026-09-22"
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          "modified": "2026-09-22"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Local Data for Better Health, Place Data 2023 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/krqc-563j",
        "description": "PLACES: Local Data for Better Health, Place Data 2023 release - Dataset Home",
        "issued": "2024-07-15",
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          {
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      "inventoried": "2026-09-27"
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      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/ks3g-spdg",
      "identifier": "https://data.cdc.gov/api/views/ks3g-spdg",
      "title": "Provisional COVID-19 Deaths by Race and Hispanic Origin, and Age",
      "description": "Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nDeaths involving COVID-19, pneumonia, and influenza reported to NCHS by race, age, and jurisdiction of occurrence.",
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        "@type": "vcard:Kind",
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      "accessRights": "public",
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        {
          "@type": "dcat:Distribution",
          "title": "Provisional COVID-19 Deaths by Race and Hispanic Origin, and Age",
          "description": "Effective September 27, 2023, this dataset will no longer be updated. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/ks3g-spdg",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Provisional COVID-19 Deaths by Race and Hispanic Origin, and Age",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 1 - Boston",
      "description": "Rate of deaths by age/sex (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.\n\nUpdated on April 28, 2025, to comply with the President’s Executive Order 14168.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ksf9-pem2",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "cdc",
        "centers for disease control and prevention"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ksf9-pem2/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ksf9-pem2",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
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          "accessURL": "https://data.cdc.gov/d/ksf9-pem2",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
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        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ksf9-pem2/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ksf9-pem2",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ksf9-pem2/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ksf9-pem2",
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          "modified": "2026-09-10"
        },
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          "accessURL": "https://data.cdc.gov/d/ksf9-pem2",
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      ],
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        "@type": "Document",
        "title": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 1 - Boston - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ksf9-pem2",
        "description": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 1 - Boston - Dataset Home",
        "issued": "2016-09-14",
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        ]
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      "bureauCode": [
        "009:00"
      ],
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        "009:020"
      ],
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Vaccination Coverage, Overall and by Selected Demographics and Jurisdiction, Among Adults 18 Years and Older, by Season",
      "description": "• Weekly COVID-19 Vaccination Coverage and intent among adults 18 Years and Older by Demographic Characteristics and Jurisdiction, by Season \n\n• Weekly estimates of COVID-19 vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Surveys (NIS)-Fall Respiratory Virus Module (NIS-FRVM) (https://www.cdc.gov/nis/about/index.html). The NIS–FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. All estimates are based upon self-reported receipt of vaccination and month of that vaccination. \n\n• Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 and 2025–26 COVID-19 vaccines were first available at the end of August 2024 and 2025, respectively. \n\n • The NIS-FRVM data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
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      "identifier": "https://data.cdc.gov/api/views/ksfb-ug5d",
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        }
      ],
      "publisher": {
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        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
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      "keyword": [
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        "cms",
        "nis-child",
        "vsd",
        "nis-flu",
        "iis-adult",
        "covid-19 vaccination",
        "nis-acm"
      ],
      "modified": "2026-09-09",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ksfb-ug5d/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ksfb-ug5d",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
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          "accessURL": "https://data.cdc.gov/d/ksfb-ug5d",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ksfb-ug5d/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ksfb-ug5d",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/ksfb-ug5d/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19 Vaccination Coverage, Overall and by Selected Demographics and Jurisdiction, Among Adults 18 Years and Older, by Season - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ksfb-ug5d",
        "description": "COVID-19 Vaccination Coverage, Overall and by Selected Demographics and Jurisdiction, Among Adults 18 Years and Older, by Season - Dataset Home",
        "issued": "2025-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
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      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Monthly Cumulative Number and Percent of Children <20 Months Who Received Nirsevimab by Age Group and Jurisdiction, United States",
      "description": "Monthly Cumulative Number and Percent of Children <20 Months Who Received Nirsevimab by Age Group and Jurisdiction\n\n• Estimated nirsevimab coverage for children 0-19 months is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group. \n\n• Starting in July 2023, the CDC recommended the RSV vaccine to protect against serious illness from RSV. (https://www.cdc.gov/respiratory-viruses/whats-new/rsv-update-2023-09-22.html)\n ",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ku7p-zn4c",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "immunization information system",
        "iis",
        "rsv vaccination"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ku7p-zn4c/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ku7p-zn4c",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ku7p-zn4c/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ku7p-zn4c",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ku7p-zn4c/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ku7p-zn4c",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ku7p-zn4c/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Monthly Cumulative Number and Percent of Children <20 Months Who Received Nirsevimab by Age Group and Jurisdiction, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ku7p-zn4c",
        "description": "Monthly Cumulative Number and Percent of Children <20 Months Who Received Nirsevimab by Age Group and Jurisdiction, United States - Dataset Home",
        "issued": "2024-02-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "Jurisdictions - States, District of Columbia, Islands, and US cities"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "MicroRNA-Mediated Krüppel-Like Factor 4 upregulation Induces Alternatively Activated Macrophage-Associated Markers and Chemokines Transcription in 4,4’-Methylene Diphenyl Diisocyanate Exposed Macrophages",
      "description": "Occupational exposure to 4,4’-methylene diphenyl diisocyanate (MDI), the most widely used monomeric diisocyanate (dNCO), is associated with occupational asthma (OA) development. Recruitment of immune cells to the lung microenvironment via secreted chemokines by alveolar macrophages may play a role during asthma pathogenesis. Our prior study identified that alternatively activated (M2) macrophage-associated markers and chemokines were induced by MDI/MDI-Glutathione (GSH)-mediated Krüppel-Like Factor 4 (KLF4) upregulation in macrophages and induced chemotaxis abilities to naïve T-cells and eosinophils; however, the underlying molecular mechanism(s) by which MDI upregulated KLF4 expression is unclear. Previously, we identified that two microRNAs (miRs) including hsa-miR-206-3p and hsa-miR-381-3p were significantly downregulated in MDI-GSH-exposed THP-1 macrophages. In silico analysis revealed that one hsa-miR-206-3p and two hsa-miR-381-3p predicted binding sites exist on the 3’ untranslated region (UTR) of KLF4 transcripts. We hypothesize that MDI/MDI-GSH exposure induces M2 macrophage-associated markers and chemokines through hsa-miR-206-3p/hsa-miR-381-3p mediated KLF4 upregulation in macrophages. The first aim of this study was to examine whether hsa-miR-206-3p/hsa-miR-381-3p regulates KLF4 expression in THP-1 macrophages through a posttranscriptional regulation mechanism. Our second aim was to determine whether hsa-miR-206-3p/hsa-miR-381-3p participates in KLF4-regulated M2 macrophage-associated markers and chemokines after MDI-exposure. After identifying the role of endogenous hsa-miR-206-3p/hsa-miR-381-3p in regulation of KLF4 transcription factor after MDI-exposure, we investigated the role of hsa-miR-206-3p/hsa-miR-381-3p in regulation of M2 macrophage-associated markers and chemokines’ expressions in relation to the exposure to MDI.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/kuas-t2xn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Allergy and Clinical Immunology Branch (ACIB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/kuas-t2xn/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/kuas-t2xn",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "MicroRNA-Mediated Krüppel-Like Factor 4 upregulation Induces Alternatively Activated Macrophage-Associated Markers and Chemokines Transcription in 4,4’-Methylene Diphenyl Diisocyanate Exposed Macrophages - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/kuas-t2xn",
        "description": "MicroRNA-Mediated Krüppel-Like Factor 4 upregulation Induces Alternatively Activated Macrophage-Associated Markers and Chemokines Transcription in 4,4’-Methylene Diphenyl Diisocyanate Exposed Macrophages - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2017 release",
      "description": "2015, 2014. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/kucs-wizg",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "500 Cities Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "500cities",
        "gis",
        "cities",
        "census",
        "tract",
        "unhealthy",
        "prevention",
        "prevalence",
        "outcomes",
        "behaviors"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kucs-wizg/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kucs-wizg",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kucs-wizg/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kucs-wizg",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kucs-wizg/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kucs-wizg/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kucs-wizg",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/kucs-wizg/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2017 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/kucs-wizg",
        "description": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2017 release - Dataset Home",
        "issued": "2018-10-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/kusj-ex57",
      "identifier": "https://data.cdc.gov/api/views/kusj-ex57",
      "title": "DQS prescription medication use in the past 30 days, by sex, race and Hispanic origin, and age group: United States",
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        "description": "State-Level Vaccine Mandates - All - Dataset Home",
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    },
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      },
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        "title": "CDC STATE System E-Cigarette Legislation - Tax - Dataset Home",
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    {
      "@type": "Dataset",
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      ],
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            "title": "Columns for this asset"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chancroid - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/kx9y-asbg",
        "description": "NNDSS - TABLE 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chancroid - Dataset Home",
        "issued": "2019-04-24",
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    },
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          "accessURL": "https://data.cdc.gov/d/kxvg-q6s7",
          "mediaType": "application/geo+json",
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        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/kxvg-q6s7/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kxvg-q6s7",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/kxvg-q6s7/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/kxvg-q6s7",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-08"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/kxvg-q6s7",
        "description": "NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable",
      "description": "NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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      "identifier": "https://data.cdc.gov/api/views/kyph-4i8d",
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        "title": "NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable - Dataset Home",
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        "description": "NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable - Dataset Home",
        "issued": "2020-01-21",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES and 500 Cities: Data Dictionary",
      "description": "This dataset provides a data dictionary for PLACES and 500 Cities releases.  For each measure, the data dictionary provides the measure ID, measure full and short name, measure category ID and name, year of BRFSS data used to generate the estimate by release year, and frequency BRFSS collects data about the measure.",
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        "places",
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      "modified": "2026-09-23",
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        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/500-Cities-Places/PLACES-and-500-Cities-Data-Dictionary/m35w-spkz"
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      "distribution": [
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        "accessURL": "https://data.cdc.gov/d/m35w-spkz",
        "description": "PLACES and 500 Cities: Data Dictionary - Dataset Home",
        "issued": "2024-08-26",
        "publisher": [
          {
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Selected Trend Table from Health, United States, 2011. Low birthweight live births, by race and Hispanic origin of mother, and state: United States, 2000 - 2002, 2003 - 2005, and 2006 - 2008",
      "description": "Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.",
      "accessLevel": "public",
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        "@type": "Organization",
        "name": "SFranco"
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      "keyword": [
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      "modified": "2026-08-17",
      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/m4es-3af4",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-08-17"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/m4es-3af4/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/m4es-3af4",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-08-17"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Selected Trend Table from Health, United States, 2011. Low birthweight live births, by race and Hispanic origin of mother, and state: United States, 2000 - 2002, 2003 - 2005, and 2006 - 2008 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/m4es-3af4",
        "description": "Selected Trend Table from Health, United States, 2011. Low birthweight live births, by race and Hispanic origin of mother, and state: United States, 2000 - 2002, 2003 - 2005, and 2006 - 2008 - Dataset Home",
        "issued": "2013-07-29",
        "publisher": [
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            "@type": "Organization",
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    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. West Nile virus disease",
      "description": "NNDSS - Table II. West Nile virus disease - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Updated weekly from the Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases (ArboNET Surveillance). Data for Jamestown Canyon virus, La Crosse virus, Chikungunya virus, Eastern equine encephalitis virus, Powassan virus, St. Louis virus, and Western equine encephalitis virus diseases are available in Table I. \r\n\r\n¶ Not reportable in all states. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.",
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          "fn": "CDC INFO",
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      "publisher": {
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      "modified": "2026-09-09",
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      "landingPage": {
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        "title": "NNDSS - Table II. West Nile virus disease - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/m5zs-rf6r",
        "description": "NNDSS - Table II. West Nile virus disease - Dataset Home",
        "issued": "2018-01-04",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Giardiasis to Haemophilus influenza",
      "description": "NNDSS - Table II. Giardiasis to Haemophilus influenza - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\r\n \r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",
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      "keyword": [
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        "haemophilus influenza",
        "invasive disease (all ages",
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        "nndss",
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            "title": "Columns for this asset"
          }
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Giardiasis to Haemophilus influenza - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/m6gf-vfkz",
        "description": "NNDSS - Table II. Giardiasis to Haemophilus influenza - Dataset Home",
        "issued": "2019-01-03",
        "publisher": [
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      "inventoried": "2026-09-27"
    },
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      "@id": "https://data.cdc.gov/api/views/m74n-4hbs",
      "identifier": "https://data.cdc.gov/api/views/m74n-4hbs",
      "title": "AH Excess Deaths by Sex, Age, and Race and Hispanic Origin",
      "description": "Weekly data on the number of deaths from all causes by sex, age group, and race/Hispanic origin group for the United States. Counts of deaths in more recent weeks can be compared with counts from earlier years (2015-2019) to determine if the number is higher than expected.",
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        {
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        "title": "AH Excess Deaths by Sex, Age, and Race and Hispanic Origin",
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      },
      "inventoried": "2026-09-27"
    },
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      "description": "NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a \"U\" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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      ],
      "modified": "2026-09-09",
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        "title": "NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/m8jv-u92i",
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
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      "@id": "https://data.cdc.gov/api/views/mawz-airi",
      "identifier": "https://data.cdc.gov/api/views/mawz-airi",
      "title": "AH Provisional COVID-19 Deaths by Age, United States, Week 40 2020 through Week 39 2021",
      "description": "Provisional deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by age group among United States residents, from MMWR Week 40 2020 through MMWR Week 39 2021.\n\nAge groups: 0-4, 5-11, 12-15, 16-17, 18-24, 25-39, 40-49, 50-64, 65-74, and 75+ years",
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      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Provisional COVID-19 Deaths by Age, United States, Week 40 2020 through Week 39 2021",
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          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
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        "title": "AH Provisional COVID-19 Deaths by Age, United States, Week 40 2020 through Week 39 2021",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Census Tract Data (GIS Friendly Format), 2021 release",
      "description": "This dataset contains model-based census tract level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 29 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. \nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mb5y-ytti",
      "contactPoint": [
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          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
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        "behaviors",
        "census tract",
        "health",
        "outcomes",
        "places",
        "prevalence",
        "prevention",
        "risk",
        "status"
      ],
      "modified": "2026-09-23",
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        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Census-Tract-Data-GIS-Friendly-Format-2020-/yjkw-uj5s"
      },
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          "accessURL": "https://data.cdc.gov/d/mb5y-ytti",
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          "modified": "2026-09-23",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mb5y-ytti/columns.json",
            "title": "Columns for this asset"
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          "downloadURL": "https://data.cdc.gov/api/v3/views/mb5y-ytti/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mb5y-ytti",
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            "accessURL": "https://data.cdc.gov/api/views/mb5y-ytti/columns.xml",
            "title": "Columns for this asset"
          }
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/mb5y-ytti/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mb5y-ytti",
          "mediaType": "application/geo+json",
          "modified": "2026-09-23"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mb5y-ytti/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mb5y-ytti",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mb5y-ytti/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mb5y-ytti",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Census Tract Data (GIS Friendly Format), 2021 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mb5y-ytti",
        "description": "PLACES: Census Tract Data (GIS Friendly Format), 2021 release - Dataset Home",
        "issued": "2022-10-11",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
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        ]
      },
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Case Surveillance Restricted Access Detailed Data",
      "description": "<b>Note:</b>\nReporting of new COVID-19 Case Surveillance data will be discontinued July 1, 2024, to align with the process of removing SARS-CoV-2 infections (COVID-19 cases) from the list of nationally notifiable diseases. Although these data will continue to be publicly available, the dataset will no longer be updated. \n\nAuthorizations to collect certain public health data expired at the end of the U.S. public health emergency declaration on May 11, 2023. The following jurisdictions discontinued COVID-19 case notifications to CDC: Iowa (11/8/21), Kansas (5/12/23), Kentucky (1/1/24), Louisiana (10/31/23), New Hampshire (5/23/23), and Oklahoma (5/2/23). Please note that these jurisdictions will not routinely send new case data after the dates indicated. As of 7/13/23, case notifications from Oregon will only include pediatric cases resulting in death.\n\n\nThis case surveillance publicly available dataset has 33 elements for all COVID-19 cases shared with CDC and includes demographics, geography (county and state of residence), any exposure history, disease severity indicators and outcomes, and presence of any underlying medical conditions and risk behaviors. This dataset requires a registration process and a data use agreement.\n\n<h4><b>CDC has three COVID-19 case surveillance datasets:</b></h4><ul><li><a href=\"https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data-with-Ge/n8mc-b4w4\">COVID-19 Case Surveillance Public Use Data with Geography</a>: Public use, patient-level dataset with clinical data (including symptoms), demographics, and county and state of residence. (19 data elements)</li><li><a href=\"https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf\">COVID-19 Case Surveillance Public Use Data</a>: Public use, patient-level dataset with clinical and symptom data and demographics, with no geographic data. (12 data elements)</li><li><a href=\"https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Restricted-Access-Detai/mbd7-r32t\">COVID-19 Case Surveillance Restricted Access Detailed Data</a>: Restricted access, patient-level dataset with clinical and symptom data, demographics, and state and county of residence. Access requires a registration process and a data use agreement. (33 data elements)</li></ul>\n\n<b>Requesting Access to the COVID-19 Case Surveillance Restricted Access Detailed Data</b>\nPlease review the following documents to determine your interest in accessing the COVID-19 Case Surveillance Restricted Access Detailed Data file:\n1) <a href=\"https://data.cdc.gov/api/views/mbd7-r32t/files/9aad836e-5aa5-4047-aa5c-15996becc87c?download=true&filename=summary_guidance_and_limitations_information_and_restricted_access_data_use_agreement_information_updated.pdf\"> CDC COVID-19 Case Surveillance Restricted Access Detailed Data: Summary, Guidance, Limitations Information, and Restricted Access Data Use Agreement Information</a>\n\n2) <a href=\"https://data.cdc.gov/api/views/mbd7-r32t/files/4697b7f1-c0ea-403a-9583-6a02fd33a21c?download=true&filename=data_dictionary_covid_cases_restricted_detailed_updated.xlsx\"> Data Dictionary for the COVID-19 Case Surveillance Restricted Access Detailed Data</a>\n\nThe next step is to complete the Registration Information and Data Use Restrictions Agreement (<a href=\"https://app.smartsheetgov.com/b/form/20e9cf9b42d04a92a67585043cf34fbe\">RIDURA</a>). Once complete, CDC will review your agreement. After access is granted, Ask SRRG (<a href=\"mailto:eocevent394@cdc.gov\">eocevent394@cdc.gov</a>) will email you information about how to access the data through GitHub. If you have questions about obtaining access, email <a href=\"mailto:eocevent394@cdc.gov\">eocevent394@cdc.gov</a>. \n\n<h4><b>Overview</b></h4>\n\nThe COVID-19 case surveillance database includes individual-level data reported to U.S. states and autonomous reporting entities, including New York City and the District of Columbia (D.C.), as well as U.S. territories and affili",
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          "fn": "CORVD Informatics",
          "hasEmail": "mailto:corvdinformatics@cdc.gov"
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        "title": "COVID-19 Case Surveillance Restricted Access Detailed Data - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mbd7-r32t",
        "description": "COVID-19 Case Surveillance Restricted Access Detailed Data - Dataset Home",
        "issued": "2020-11-20",
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          "startDate": "2020-01-01",
          "endDate": "2024-06-21"
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Invasive Pneumococcal Diseases, All Ages",
      "description": "NNDSS - Table II. Invasive Pneumococcal Diseases, All Ages - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as <5 years.",
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      "modified": "2026-09-09",
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      ],
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        "@type": "Document",
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        "accessURL": "https://data.cdc.gov/d/mbsb-z5f8",
        "description": "NNDSS - Table II. Invasive Pneumococcal Diseases, All Ages - Dataset Home",
        "issued": "2018-01-04",
        "publisher": [
          {
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            "@type": "Organization",
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      "bureauCode": [
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      ],
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/mc4y-cbbv",
      "identifier": "https://data.cdc.gov/api/views/mc4y-cbbv",
      "title": "NCHS - Top Five Leading Causes of Death: United States, 1990, 1950, 2000",
      "description": "This dataset contains information on the number of deaths and age-adjusted death rates for the five leading causes of death in 1900, 1950, and 2000.\n\nAge-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below).\n\nSOURCES\n\nCDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).\n\nREFERENCES\n\n1. National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm.\n\n2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.\n\n3. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf.\n\n4. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf.\n\n5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
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        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Top Five Leading Causes of Death: United States, 1990, 1950, 2000",
          "description": "This dataset contains information on the number of deaths and age-adjusted death rates for the five leading causes of death in 1900, 1950, and 2000. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/mc4y-cbbv",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Top Five Leading Causes of Death: United States, 1990, 1950, 2000",
        "accessURL": "https://www.cdc.gov/nchs/data-visualization/mortality-trends/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis",
      "description": "NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mcdp-77g7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nndss",
        "nonparalytic",
        "poliovirus infection",
        "psittacosis",
        "wonder",
        "2021",
        "nedss",
        "netss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/mcdp-77g7/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mcdp-77g7",
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          "accessURL": "https://data.cdc.gov/d/mcdp-77g7",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/mcdp-77g7/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mcdp-77g7",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mcdp-77g7/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mcdp-77g7",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mcdp-77g7/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mcdp-77g7",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mcdp-77g7/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mcdp-77g7",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mcdp-77g7",
        "description": "NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Differences in Cumulative RSV Vaccination Coverage Among Adults 75 and Older and 60-74 Years with High-Risk Conditions Ever Vaccinated with RSV Vaccine, Overall, by Selected Demographics",
      "description": ". Weekly Cumulative RSV Vaccination Coverage and Intent Among Adults 75 Years and Older and 60?74 Years with High Risk Conditions Ever Vaccinated with RSV Vaccine by Demographic Characteristics and Jurisdiction \n. Weekly estimates of RSV vaccination coverage and intent among adults 75 years and older and 60?74 years with high risk conditions are calculated using data from the National Immunization Survey-Adult COVID Module (NIS-ACM) (https://www.cdc.gov/nis/about/)\n. In June 2023, the Advisory Committee on Immunization Practices (ACIP) voted to recommend that adults aged ?60 years may receive a single dose of an RSV vaccine, using shared clinical decision-making. In June 2024, the ACIP voted to recommend a single dose of RSV vaccine for all adults 75 years and older and adults 60-74 years who are at increased risk for severe RSV disease. The data below captures ever receiving a dose of an RSV vaccine by adults 60 years and older.?",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mcvh-596h",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/ktzw-xbup",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "iqvia",
        "iis",
        "rsv vaccination",
        "nis-acm",
        "nis-flu",
        "vsd"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/mcvh-596h/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mcvh-596h",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mcvh-596h/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mcvh-596h",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mcvh-596h/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mcvh-596h",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mcvh-596h/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Differences in Cumulative RSV Vaccination Coverage Among Adults 75 and Older and 60-74 Years with High-Risk Conditions Ever Vaccinated with RSV Vaccine, Overall, by Selected Demographics - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mcvh-596h",
        "description": "Weekly Differences in Cumulative RSV Vaccination Coverage Among Adults 75 and Older and 60-74 Years with High-Risk Conditions Ever Vaccinated with RSV Vaccine, Overall, by Selected Demographics - Dataset Home",
        "issued": "2025-11-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/ktzw-xbup",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "ARPSP C. Auris",
      "description": "Published and visualized on the ARPSP web application on 3/4/2026.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mdwz-ar4b",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Walid Hamade",
          "hasEmail": "mailto:axa6@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/nadt-bw5t",
        "@type": "Organization",
        "name": "Walid Hamade"
      },
      "keyword": [
        "arpsp",
        "c auris"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/mdwz-ar4b/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mdwz-ar4b",
          "mediaType": "text/csv",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/mdwz-ar4b/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mdwz-ar4b",
          "mediaType": "application/json",
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/mdwz-ar4b/query.xml?accessType=DOWNLOAD",
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          "mediaType": "application/xml",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "ARPSP C. Auris - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mdwz-ar4b",
        "description": "ARPSP C. Auris - Dataset Home",
        "issued": "2026-04-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/nadt-bw5t",
            "@type": "Organization",
            "name": "Walid Hamade"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2015-2017",
      "description": "2015 to 2017, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-and-stroke-data/index.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mfvi-hkb9",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHDSP Requests",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/a7ta-3b7u",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "heart",
        "heart disease",
        "county",
        "cardiovascular disease"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mfvi-hkb9/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mfvi-hkb9",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mfvi-hkb9/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mfvi-hkb9",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mfvi-hkb9/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mfvi-hkb9/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mfvi-hkb9",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mfvi-hkb9/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mfvi-hkb9/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mfvi-hkb9",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/mfvi-hkb9/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mfvi-hkb9",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mfvi-hkb9/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mfvi-hkb9",
          "mediaType": "application/vnd.google-earth.kmz",
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      "landingPage": {
        "@type": "Document",
        "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2015-2017 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mfvi-hkb9",
        "description": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2015-2017 - Dataset Home",
        "issued": "2023-07-14",
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            "@id": "https://data.cdc.gov/user/a7ta-3b7u",
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    },
    {
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      "title": "Elk Creek Seismic Waveforms 2011 (Part 12 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 20 of 48 and corresponds to the time range between May 16, 2011, and July 4, 2011.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mg59-88ii",
      "contactPoint": [
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          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
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        "@type": "Organization",
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      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/mg59-88ii",
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 12 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mg59-88ii",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 12 of 19) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
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        ]
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      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
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      "programCode": [
        "009:034"
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      "accessRights": "public",
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    },
    {
      "@type": "Dataset",
      "title": "US Census Methodology",
      "description": "2010-2018; 2019. US Census Annual Estimates of the Resident Population for Selected Age Groups by Sex for the United States. The estimates for the 2010-2018 dataset are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. Median age is calculated based on single year of age. The estimates for 2019 are based on a one-year dataset that was published on the US Census website in 2021. For population estimates methodology statements, see http://www.census.gov/popest/methodology/index.html.",
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      "identifier": "https://data.cdc.gov/api/views/mhj9-4wi2",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "census"
      ],
      "modified": "2026-09-23",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/download/mhj9-4wi2/application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "US Census Methodology - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mhj9-4wi2",
        "description": "US Census Methodology - Dataset Home",
        "issued": "2016-11-30",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
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      "programCode": [
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      "accessRights": "public",
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      "distribution": [
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            "title": "Columns for this asset"
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        },
        {
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          "accessURL": "https://data.cdc.gov/d/mi28-ze7h",
          "mediaType": "application/xml",
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          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mi28-ze7h/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mi28-ze7h",
        "description": "NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
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        ]
      },
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1JJ. Tularemia to  Vancomycin-intermediate Staphylococcus aureus",
      "description": "NNDSS - TABLE 1JJ. Tularemia to  Vancomycin-intermediate Staphylococcus aureus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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        }
      ],
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        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
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        "nndss",
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        "vancomycin-intermediate staphylococcus aureus",
        "nedss"
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      "modified": "2026-09-10",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/mik5-by93/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mik5-by93",
          "mediaType": "text/csv",
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mik5-by93/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mik5-by93",
          "mediaType": "application/json",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/mik5-by93/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mik5-by93",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1JJ. Tularemia to  Vancomycin-intermediate Staphylococcus aureus - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mik5-by93",
        "description": "NNDSS - TABLE 1JJ. Tularemia to  Vancomycin-intermediate Staphylococcus aureus - Dataset Home",
        "issued": "2019-04-23",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "@id": "https://data.cdc.gov/api/views/mk5r-qxdg",
      "identifier": "https://data.cdc.gov/api/views/mk5r-qxdg",
      "title": "DQS NHIS Child Summary Statistics Footnotes",
      "description": "List of footnotes, notes, and source information for NHIS Child Summary Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NHIS Child Summary Statistics Dataset.",
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        "name": "National Center for Health Statistics (NCHS)",
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          "accessURL": "https://data.cdc.gov/api/views/mk5r-qxdg",
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        }
      ],
      "rights": [
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      ],
      "modified": "2026-07-16",
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        "accessURL": "https://data.cdc.gov/d/mk5r-qxdg"
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    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Invasive pneumococcal disease, age <5",
      "description": "NNDSS - Table II. Invasive pneumococcal disease, age <5 - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  \r\n\r\n† Includes drug resistant and susceptible cases of invasive pneumococcal disease.",
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        "title": "NNDSS - Table II. Invasive pneumococcal disease, age <5 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mk6z-83q2",
        "description": "NNDSS - Table II. Invasive pneumococcal disease, age <5 - Dataset Home",
        "issued": "2019-01-03",
        "publisher": [
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    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic",
      "description": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mkns-9vjv",
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          "fn": "CDC INFO",
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      ],
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        "wonder",
        "nndss",
        "total",
        "q fever chronic",
        "q fever acute",
        "q fever",
        "nedss",
        "2019",
        "netss"
      ],
      "modified": "2026-09-08",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/mkns-9vjv/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mkns-9vjv",
          "mediaType": "text/csv",
          "modified": "2026-09-08"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/mkns-9vjv/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mkns-9vjv",
          "mediaType": "application/json",
          "modified": "2026-09-08",
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          }
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mkns-9vjv/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mkns-9vjv",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mkns-9vjv/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mkns-9vjv",
        "description": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Economic Burden of Occupational Fatal Injuries in the United States Based on the Census of Fatal Occupational Injuries, 2003-2010",
      "description": "It is widely acknowledged that there are costs involved with fatal injury to workers. These costs cross numerous boundaries, and generally address the overall costs to victims and the affected groups, and to society as a whole. This represents a cause for concern to employers, worker groups, policy makers, medical personnel, economists and others interested in workplace safety and health. This broad-reaching burden can include social costs, organizational costs, familial and interpersonal group costs, as well as personal costs such as suffering and loss of companionship. The data in the accompanying tables focus on monetary costs of fatal occupational injury which largely consist of foregone wages, but also include the direct costs of medical care and the indirect costs of household production and certain ancillary measures.\n\nThese data represent a continuation of prior research by the National Institute for Occupational Safety and Health (NIOSH) that attempted to delimit the economic consequences of workplace injury for earlier years. Interested parties should be aware that these data serve as a supplemental update to prior NIOSH publications which described the magnitude and circumstances of occupational injury deaths for earlier years 1,2.\n\nThe current data build on this research, and the findings are compelling. Over the period studied, 2003-2010, the costs from these 42,380 premature deaths exceeded $44 billion, an amount greater than the reportable gross domestic product for some States. These findings inform the national will to reduce this severe toll on our nation’s workers, institutions, communities, and the nation itself. Researchers and concerned parties within the occupational and public health professions, academia, organizations focusing on workplace safety, labor unions and the business community have all proven to be willing and avid users of this data, and have used this research to continue their efforts, in concert with continuing NIOSH research efforts, to reduce the great toll that injury imposes on our workers, workplaces, and Nation.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mkyn-icix",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Division of Safety Research Analysis and Field Evaluations Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/mkyn-icix/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/mkyn-icix",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Economic Burden of Occupational Fatal Injuries in the United States Based on the Census of Fatal Occupational Injuries, 2003-2010 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mkyn-icix",
        "description": "Economic Burden of Occupational Fatal Injuries in the United States Based on the Census of Fatal Occupational Injuries, 2003-2010 - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Specific Influenza Vaccination Coverage Among Women With Live Birth- PRAMS, 2009-10 Influenza Season",
      "description": "For more information about the Pregnancy Risk Assessment Monitoring System please visit http://www.cdc.gov/prams/. See http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6107a1.htm?s_cid=mm6107a1_e for the MMWR article.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mmi4-8ajr",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/tcys-idpb",
        "@type": "Organization",
        "name": "Helen Ding"
      },
      "keyword": [
        "immunization",
        "flu shot",
        "pregnant women",
        "prams"
      ],
      "modified": "2026-08-17",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mmi4-8ajr/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mmi4-8ajr",
          "mediaType": "text/csv",
          "modified": "2026-08-17"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mmi4-8ajr/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mmi4-8ajr",
          "mediaType": "application/json",
          "modified": "2026-08-17",
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            "accessURL": "https://data.cdc.gov/api/views/mmi4-8ajr/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mmi4-8ajr/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mmi4-8ajr",
          "mediaType": "application/xml",
          "modified": "2026-08-17",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mmi4-8ajr/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mmi4-8ajr/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mmi4-8ajr",
          "mediaType": "application/geo+json",
          "modified": "2026-08-17"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mmi4-8ajr/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mmi4-8ajr",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-08-17"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mmi4-8ajr/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mmi4-8ajr",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-08-17"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State Specific Influenza Vaccination Coverage Among Women With Live Birth- PRAMS, 2009-10 Influenza Season - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mmi4-8ajr",
        "description": "State Specific Influenza Vaccination Coverage Among Women With Live Birth- PRAMS, 2009-10 Influenza Season - Dataset Home",
        "issued": "2013-06-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/tcys-idpb",
            "@type": "Organization",
            "name": "Helen Ding"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2011 (Part 17 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 25 of 48 and corresponds to the time range between October 10, 2011, and November 14, 2011.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mn8h-8t8e",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/mn8h-8t8e/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/mn8h-8t8e",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 17 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mn8h-8t8e",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 17 of 19) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/mnaa-qctp",
      "identifier": "https://data.cdc.gov/api/views/mnaa-qctp",
      "title": "Lack of Social Connection",
      "description": "In 2020, the National Center for Health Statistics (NCHS) partnered with the Census Bureau on an experimental data system called the Household Pulse Survey. This survey was designed to complement the ability of the federal statistical system to rapidly respond and provide relevant information about how emergent issues are impacting American households. Beginning in Phase 4.0 (on January 9, 2024), questions on social support, loneliness, and social isolation were added to the survey. These questions have been included on other nationally representative surveys. Briefly, the question on social support was included on the National Health Interview Survey (NHIS) from July 2020-December 2021 and was added to the 2024 NHIS. The question on loneliness was added to the 2024 NHIS. The questions on social isolation are adapted from the Berkman-Syme Social Network Index and were included on an earlier cycle of the National Health and Nutrition Examination Survey. For more information, please visit: https://www.cdc.gov/nchs/covid19/pulse/lack-socialconnection.htm",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Lack of Social Connection",
          "description": "In 2020, the National Center for Health Statistics (NCHS) partnered with the Census Bureau on an experimental data system called the Household Pulse Survey. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/mnaa-qctp",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Lack of Social Connection",
        "accessURL": "https://www.cdc.gov/nchs/covid19/pulse/lack-socialconnection.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Evaluation of pulmonary effects of 3-D printer emissions from acrylonitrile butadiene styrene using an air-liquid interface model of primary normal human-derived bronchial epithelial cells",
      "description": "This study investigated the inhalation toxicity of the emissions from 3-D printing with acrylonitrile butadiene styrene (ABS) filament using an air-liquid interface (ALI) in vitro model. Primary normal human-derived bronchial epithelial cells (NHBEs) were exposed to ABS filament emissions in an ALI for 4 h. The mean and mode diameters of ABS emitted particles in the medium were 175 ± 24 nm and 153 ± 15 nm, respectively. The average particle deposition per surface area of the epithelium was 2.29 × 107 ± 1.47 × 107 particle/cm2, equivalent to an estimated average particle mass of 0.144 ± 0.042 µg/cm2.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mpb9-a9up",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Pathology and Physiology Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/mpb9-a9up/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/mpb9-a9up",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Evaluation of pulmonary effects of 3-D printer emissions from acrylonitrile butadiene styrene using an air-liquid interface model of primary normal human-derived bronchial epithelial cells - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mpb9-a9up",
        "description": "Evaluation of pulmonary effects of 3-D printer emissions from acrylonitrile butadiene styrene using an air-liquid interface model of primary normal human-derived bronchial epithelial cells - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Giardiasis to Haemophilus influenza",
      "description": "NNDSS - Table II. Giardiasis to Haemophilus influenza - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Data for H. influenzae (age <5 years for serotype b, nonserotype b, and unknown serotype) are available in Table I.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mpdg-hf57",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nedss",
        "wonder",
        "2015",
        "giardiasis",
        "gonorrhea",
        "netss",
        "nndss",
        "haemophilus influenzae",
        "mmwr"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mpdg-hf57/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mpdg-hf57",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mpdg-hf57/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mpdg-hf57",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mpdg-hf57/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mpdg-hf57/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mpdg-hf57",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mpdg-hf57/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Giardiasis to Haemophilus influenza - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mpdg-hf57",
        "description": "NNDSS - Table II. Giardiasis to Haemophilus influenza - Dataset Home",
        "issued": "2016-01-07",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Hospital Respiratory Data (HRD) Metrics by Jurisdiction, National Healthcare Safety Network (NHSN) (Preliminary)",
      "description": "This dataset represents preliminary weekly hospital respiratory data and metrics aggregated to national and state/territory levels reported to CDC’s National Health Safety Network (NHSN) beginning August 2020. This dataset updates weekly on Wednesdays with preliminary data reported to NHSN for the previous reporting week (Sunday – Saturday). \n\nData for reporting dates through April 30, 2024 represent data reported during a previous mandated reporting period as specified by the HHS Secretary. Data for reporting dates May 1, 2024 – October 31, 2024 represent voluntarily reported data in the absence of a mandate. Data for reporting dates beginning November 1, 2024 represent data reported during a current mandated reporting period. All data and metrics capturing information on respiratory syncytial virus (RSV) were voluntarily reported until November 1, 2024. All data included in this dataset represent aggregated counts, and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and new hospital admissions with corresponding metrics indicating reporting coverage for a given reporting week. NHSN monitors national and local trends in healthcare system stress and capacity for all acute care and critical access hospitals in the United States.\n\nFor more information on the reporting mandate per the Centers for Medicare and Medicaid Services (CMS) requirements, visit: <a href=\"https://www.cms.gov/medicare/health-safety-standards/quality-safety-oversight-general-information/policy-memos-states/updates-condition-participation-cop-requirements-hospitals-and-critical-access-hospitals-cahs-report\"> Updates to the Condition of Participation (CoP) Requirements for Hospitals and Critical Access Hospitals (CAHs) To Report Acute Respiratory Illnesses</a>.\n\nFor more information regarding NHSN’s collection of these data, including full reporting guidance, visit: <a href=\"https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html\">NHSN Hospital Respiratory Data</a>. \n\nFor data that is considered final for a given reporting week (Sunday – Saturday), and reflects that which is used in <a href=\"https://www.cdc.gov/nhsn/psc/hospital-respiratory-dashboard.html\">NHSN HRD dashboards</a> for publication each Friday, visit: <a href=\"https://data.cdc.gov/Public-Health-Surveillance/Weekly-Hospital-Respiratory-Data-HRD-Metrics-by-Ju/ua7e-t2fy/about_data\">https://data.cdc.gov/Public-Health-Surveillance/Weekly-Hospital-Respiratory-Data-HRD-Metrics-by-Ju/ua7e-t2fy/about_data</a>. \n\nCDC coordinates weekly forecasts of hospitalization admissions based on this data set. More information about flu forecasting can be found at <a href=\"https://www.cdc.gov/flu-forecasting/about/index.html\">About Flu Forecasting | FluSight | CDC</a>, and information about COVID-19 forecasting and other modeling analyses for the Respiratory Virus Season are available at <a href=\"https://www.cdc.gov/forecast-outbreak-analytics/our-work/respiratory-virus-season-insights.html\">CFA's Insights for Respiratory Virus Season | CFA | CDC</a>.\n\n<b>Source: CDC National Healthcare Safety Network (NHSN).</b> <ul><li><b>Data source description</b> (updated November 15, 2024): As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or 'COVID-19 hospital data') are reported to HHS through CDC's National Healthcare Safety Network (NHSN) based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data were voluntarily reported to NHSN May 1, 2024 until November 1, 2024, at which time CMS began requiring acute care and critical access hospitals to electronically report information via NHSN about COVID-19, influenza, and RSV, hospital bed census and capacity. Hospital bed capacity and occupancy data for all patients and for patients with COVID-19 or influenza for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mpgq-jmmr",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "DHQP",
          "hasEmail": "mailto:nhsn@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/8jxp-krex",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "icu beds",
        "hospital occupancy",
        "hospitalizations",
        "inpatient beds",
        "respiratory",
        "admissions",
        "respiratory syncytial virus",
        "rsv",
        "hospital capacity",
        "covid19",
        "coronavirus",
        "influenza"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mpgq-jmmr/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mpgq-jmmr",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mpgq-jmmr/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mpgq-jmmr",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mpgq-jmmr/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mpgq-jmmr/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mpgq-jmmr",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mpgq-jmmr/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Hospital Respiratory Data (HRD) Metrics by Jurisdiction, National Healthcare Safety Network (NHSN) (Preliminary) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mpgq-jmmr",
        "description": "Weekly Hospital Respiratory Data (HRD) Metrics by Jurisdiction, National Healthcare Safety Network (NHSN) (Preliminary) - Dataset Home",
        "issued": "2026-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/8jxp-krex",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
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      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/mpx5-t7tu",
      "identifier": "https://data.cdc.gov/api/views/mpx5-t7tu",
      "title": "Provisional COVID-19 death counts, rates, and percent of total deaths, by jurisdiction of residence",
      "description": "This file contains COVID-19 death counts, death rates, and percent of total deaths by jurisdiction of residence. The data is grouped by different time periods including 3-month period, weekly, and total (cumulative since January 1, 2020). United States death counts and rates include the 50 states, plus the District of Columbia and New York City. New York state estimates exclude New York City. Puerto Rico is included in HHS Region 2 estimates.\n\nDeaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file.\n\nData during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.\n\nDeath counts should not be compared across states. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly.\n\nThe ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.\n\nRates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf).\n\nRates are based on deaths occurring in the specified week/month and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly/monthly age-adjusted rates which have been adjusted to allow comparison with annual rates.  Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly/monthly) rate prevailed for a full year.\n\nSub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).",
      "contactPoint": {
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        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Provisional COVID-19 death counts, rates, and percent of total deaths, by jurisdiction of residence",
          "description": "This file contains COVID-19 death counts, death rates, and percent of total deaths by jurisdiction of residence. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/mpx5-t7tu",
          "modified": "2026-07-23"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-23",
      "landingPage": {
        "@type": "Document",
        "title": "Provisional COVID-19 death counts, rates, and percent of total deaths, by jurisdiction of residence",
        "accessURL": "https://data.cdc.gov/d/mpx5-t7tu"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/mqmc-4b9n",
      "identifier": "https://data.cdc.gov/api/views/mqmc-4b9n",
      "title": "AH Provisional COVID-19 Deaths by Hospital Referral Region",
      "description": "Provisional count of deaths involving coronavirus disease 2019 (COVID-19) in the United States by week of death and by hospital referral region (HRR). HRR is determined by county of occurrence. Weekly weighted counts of deaths from all causes and due to COVID-19 are provided by HRR overall and for decedents 65 years and older. The weighted counts by HRRs are based on published methods for aggregating county-level data to HRRs. More detail about aggregating to HRRs from counties can be found in the following: https://github.com/Dartmouth-DAC/covid-19-hrr-mapping\nhttps://dartmouthatlas.org/covid-19/hrr-mapping/",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Provisional COVID-19 Deaths by Hospital Referral Region",
          "description": "Provisional count of deaths involving coronavirus disease 2019 (COVID-19) in the United States by week of death and by hospital referral region (HRR). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/mqmc-4b9n",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Provisional COVID-19 Deaths by Hospital Referral Region",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "V-safe COVID-19",
      "description": "Users of the V-safe data are required to adhere to the following standards for the analysis and reporting of research data. All research results must be presented and/or published in a manner that protects the confidentiality of participants. V-safe data will not be presented and/or published in any way in which an individual can be identified. Therefore, users will:\n<ol>\n<li>Not attempt to link or permit others to link the data with individually identified records in another database.</li>\n<li>Not attempt to learn the identity of any participant in the data and will not deliberately combine these data with other CDC or non-CDC data for the purpose of matching records to identify individuals. If you should inadvertently discover the identity of any participant, you will ensure the identity of any participant is kept confidential, and will not be used in any publications and/or presentations.</li>\n<li>Not imply or state, either in written or oral form, that interpretations based on analysis of the data reflect official CDC policies or positions.</li>\n<li>Understand that sub-national analyses are not appropriate for this national sample and will not be conducted. </li>\n<li>Understand that V-safe is a voluntary self-enrollment program requiring smartphone access; therefore, information from V-safe might not be representative or generalizable to the US population.</li></ol>\nBy clicking on the weblink below to download and use these V-safe data, you signify your agreement to comply with the above-stated terms.\n\nV-safe is a voluntary U.S. active safety surveillance system established by CDC to characterize local and systemic side effects of new vaccines administered after U.S. authorization or licensure. V-safe participants are not a random sample of all vaccinated persons in the United States and data might not be generalizable to the full U.S. vaccinated population. Participants may have been more likely to complete surveys if experiencing symptoms post-vaccination. All V-safe measures are self-reported, therefore there may be some misclassification of outcomes, vaccine-related information, or demographics.\n\nFor participants who requested corrections (i.e. vaccination date or vaccine manufacturer) to their vaccination record, data may be missing for one or more doses.  Requested corrections were applied to ‘Enrollment’, ‘Vaccination’, and ‘Dose History’ files. The old vaccination records are located in the ‘Vaccination (Old Records)’ file while the corrected vaccine records are in the ‘Vaccination’ file. Mobile outages or technical malfunctions may have caused a small number of missing surveys or collection of incorrect survey type. Occasional system outages and attrition over time also contribute to incomplete reporting. \n\nV-safe COVID-19 public data includes enrollment, vaccination information, and daily and weekly surveys collected from 1/22/2024 to 3/23/2025. Corresponding V-safe Registration public data (de-identified demographic data) can be downloaded at data.cdc.gov. Please review the V-safe data user agreement before analyzing any V-safe data.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mqpe-3mce",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vsafe@cdc.gov",
          "hasEmail": "mailto:Vsafe@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/crne-bzv2",
        "@type": "Organization",
        "name": "v-safe"
      },
      "keyword": [
        "vaccine safety",
        "v-safe"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/mqpe-3mce/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/mqpe-3mce",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "V-safe COVID-19 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mqpe-3mce",
        "description": "V-safe COVID-19 - Dataset Home",
        "issued": "2026-03-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/crne-bzv2",
            "@type": "Organization",
            "name": "v-safe"
          }
        ]
      },
      "bureauCode": [
        "009:15"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1T. Invasive pneumococcal disease, Age<5 years, Confirmed to Legionellosis",
      "description": "NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 years, Confirmed to Legionellosis - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mr4u-abm2",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "2022",
        "nndss",
        "netss",
        "nedss",
        "legionellosis",
        "invasive pneumococcal disease",
        "confirmed",
        "age<5 years",
        "probable",
        "wonder"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mr4u-abm2/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mr4u-abm2",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mr4u-abm2/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mr4u-abm2",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mr4u-abm2/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mr4u-abm2/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mr4u-abm2",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mr4u-abm2/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mr4u-abm2/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mr4u-abm2",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mr4u-abm2/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mr4u-abm2",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mr4u-abm2/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mr4u-abm2",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1T. Invasive pneumococcal disease, Age<5 years, Confirmed to Legionellosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mr4u-abm2",
        "description": "NNDSS - TABLE 1T. Invasive pneumococcal disease, Age<5 years, Confirmed to Legionellosis - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Deaths in 122 U.S. cities - 1962-2016. 122 Cities Mortality Reporting System",
      "description": "This file contains the complete set of data reported to 122 Cities Mortality Reposting System.  The system was retired as of 10/6/2016.  While the system was running each week, the vital statistics offices of 122 cities across the United States reported the total number of death certificates processed and the number of those for which pneumonia or influenza was listed as the underlying or contributing cause of death by age group (Under 28 days, 28 days - 1 year, 1-14 years, 15-24 years, 25-44 years, 45-64 years, 65-74 years, 75-84 years, and - 85 years).  U:Unavailable. - : No reported cases.* Mortality data in this table were voluntarily reported from 122 cities in the United States, most of which have populations of >100,000. A death is reported by the place of its occurrence and by the week that the death certificate was filed. Fetal deaths are not included.  Total includes unknown ages. \nMore information on Flu Activity & Surveillance is available at http://www.cdc.gov/flu/weekly/fluactivitysurv.htm.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mr8w-325u",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Krista Kniss",
          "hasEmail": "mailto:krk9@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/3w8r-s6vf",
        "@type": "Organization",
        "name": "KRK9@cdc.gov"
      },
      "keyword": [
        "mmwr table iii",
        "122 cities",
        "mortality"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mr8w-325u/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mr8w-325u",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mr8w-325u/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mr8w-325u",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mr8w-325u/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mr8w-325u/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mr8w-325u",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mr8w-325u/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Deaths in 122 U.S. cities - 1962-2016. 122 Cities Mortality Reporting System - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mr8w-325u",
        "description": "Deaths in 122 U.S. cities - 1962-2016. 122 Cities Mortality Reporting System - Dataset Home",
        "issued": "2016-10-06",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/3w8r-s6vf",
            "@type": "Organization",
            "name": "KRK9@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:000"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2022-2024",
      "description": "2022 to 2024, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and racial/ethnic group. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mri7-5jtw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHDSP Requests",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/a7ta-3b7u",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "counties",
        "cardiovascular disease",
        "county",
        "heart disease",
        "heart",
        "cardiovascular"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mri7-5jtw/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mri7-5jtw",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mri7-5jtw/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mri7-5jtw",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mri7-5jtw/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mri7-5jtw/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mri7-5jtw",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mri7-5jtw/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2022-2024 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mri7-5jtw",
        "description": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2022-2024 - Dataset Home",
        "issued": "2026-07-07",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/a7ta-3b7u",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "All counties in the United States"
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:029"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable",
      "description": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mrip-2k2a",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "netss",
        "probable",
        "wonder",
        "2021",
        "all ages",
        "confirmed",
        "invasive pneumococcal disease",
        "nedss",
        "nndss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mrip-2k2a/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mrip-2k2a",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mrip-2k2a/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mrip-2k2a",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mrip-2k2a/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mrip-2k2a/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mrip-2k2a",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mrip-2k2a/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mrip-2k2a/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mrip-2k2a",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mrip-2k2a/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mrip-2k2a",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mrip-2k2a/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mrip-2k2a",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mrip-2k2a",
        "description": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Evaluation of the fall protection of Type I industrial helmets",
      "description": "Type I industrial helmets have been widely used at construction sites and by manufacturers as “general purpose” safety helmets. The performance of Type I industrial helmets for fall protection is not required to be tested in standardized tests. Chin straps and suspension system adjustment mechanisms are two important components of a typical industrial helmet, but the effects of proper use of them on the protective performance of Type I helmets have not been evaluated. The current study was designed to analyze the fall protection performance of Type I industrial helmets and to evaluate if the use of a chin strap and the suspension system tightness have any effect on protection performance. Head impact tests were performed by letting an instrumented manikin free fall backwards, from a standing posture, so that the manikin would make head-first contact with a solid surface of two different materials (concrete and plywood-covered). The results showed that all four tested helmet models demonstrated excellent performances for fall protection compared to the control group without wearing helmets. The fall protection performance of the advanced helmet models was substantially better than the basic helmet models. However, the effects of the use of chin straps and suspension system tightness on the helmets’ fall protection performance were statistically not significant. The findings of our study provide information to help construction companies and manufacturers better manage the use of Type I helmets for fall protection, thereby reducing work-related traumatic brain injury risks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mscq-ew9n",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Division of Safety Research Protective Technology Branch; Health Effects Laboratory Division Physical Effects Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/mscq-ew9n/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/mscq-ew9n",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Evaluation of the fall protection of Type I industrial helmets - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mscq-ew9n",
        "description": "Evaluation of the fall protection of Type I industrial helmets - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 10 - Seattle",
      "description": "Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/msjj-a7q2",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "cdc",
        "centers for disease control and prevention"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/msjj-a7q2/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/msjj-a7q2",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/msjj-a7q2/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/msjj-a7q2",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/msjj-a7q2/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/msjj-a7q2/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/msjj-a7q2",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/msjj-a7q2/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/msjj-a7q2/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/msjj-a7q2",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/msjj-a7q2/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/msjj-a7q2",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/msjj-a7q2/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/msjj-a7q2",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 10 - Seattle - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/msjj-a7q2",
        "description": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 10 - Seattle - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥75 years and Enrolled in a Part D plan, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse",
      "description": "• RSV vaccination coverage among Medicare fee-for-service beneficiaries aged 75 years and older enrolled in a Part D plan is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS). \n\n• Weekly RSV vaccination coverage estimates were calculated using Kaplan-Meier survival analysis, based on beneficiaries enrolled as of August 1, 2023. RSV vaccines received since August 1, 2023, among adults who were 75 years or older as of the end of the first year of the season (e.g., December 31, 2025, for the 2025–26 season), were included.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/msnx-y6hi",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/ktzw-xbup",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "nis",
        "vsd",
        "rsv vaccination",
        "iqvia",
        "iis"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/msnx-y6hi/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/msnx-y6hi",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/msnx-y6hi/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/msnx-y6hi",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/msnx-y6hi/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/msnx-y6hi/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/msnx-y6hi",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/msnx-y6hi/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥75 years and Enrolled in a Part D plan, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/msnx-y6hi",
        "description": "Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥75 years and Enrolled in a Part D plan, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse - Dataset Home",
        "issued": "2025-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/ktzw-xbup",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: County Data (GIS Friendly Format), 2020 release",
      "description": "This dataset contains model-based county-level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2015 county boundary file in a GIS system to produce maps for 27 measures at the county level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mssc-ksj7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "county",
        "unhealthy",
        "behaviors",
        "prevention",
        "places",
        "outcomes",
        "prevalence",
        "gis"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/mssc-ksj7/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mssc-ksj7",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
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          "accessURL": "https://data.cdc.gov/d/mssc-ksj7",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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          }
        },
        {
          "@type": "Distribution",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mssc-ksj7/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mssc-ksj7",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mssc-ksj7/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mssc-ksj7",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mssc-ksj7/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mssc-ksj7",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: County Data (GIS Friendly Format), 2020 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mssc-ksj7",
        "description": "PLACES: County Data (GIS Friendly Format), 2020 release - Dataset Home",
        "issued": "2021-09-29",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2020-2021 Nationwide Blood Donor Seroprevalence Survey Infection-Induced Seroprevalence Estimates",
      "description": "CDC is collaborating with the National Institutes of Health (NIH), the Food and Drug Administration (FDA), Vitalant Research Institute (VRI), Westat Inc., and numerous blood collection organizations across the United States to conduct a nationwide COVID-19 seroprevalence survey of blood donors. This is the largest nationwide COVID-19 seroprevalence survey to date. De-identified blood samples are tested for antibodies to SARS-CoV-2 to better understand the percentage of people in the United States who have antibodies against SARS-CoV-2 (the virus that causes COVID-19) and to track how this percentage changes over time. Both SARS-CoV-2 infection and COVID-19 vaccines currently used in the United States result in production of anti-spike (anti-S) antibodies but only infection results in production of anti-nucleocapsid (anti-N) antibodies. Infection-induced seroprevalence estimates the proportion of the population with evidence of previous SARS-CoV-2 infection and refers to the prevalence of the population with both anti-S and anti-N antibodies.\n\nThis link connects to a webpage that displays the data from the Nationwide Blood Donor Seroprevalence Survey. It offers an interactive visualization available at https://covid.cdc.gov/covid-data-tracker/#nationwide-blood-donor-seroprevalence\n\nAdditional information is available at: https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/blood-bank-serosurvey.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mtc3-kq6r",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC-INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "laboratory",
        "sars-cov",
        "seroprevalence",
        "serosurveys",
        "covid-19",
        "covid19",
        "covid",
        "coronavirus",
        "prevalence",
        "ncird-corvd"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mtc3-kq6r/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mtc3-kq6r",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mtc3-kq6r/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mtc3-kq6r",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mtc3-kq6r/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mtc3-kq6r/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mtc3-kq6r",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mtc3-kq6r/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "2020-2021 Nationwide Blood Donor Seroprevalence Survey Infection-Induced Seroprevalence Estimates - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mtc3-kq6r",
        "description": "2020-2021 Nationwide Blood Donor Seroprevalence Survey Infection-Induced Seroprevalence Estimates - Dataset Home",
        "issued": "2021-10-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-07-01",
          "endDate": "2021-12-14"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/mtgp-t7vw",
      "identifier": "https://data.cdc.gov/api/views/mtgp-t7vw",
      "title": "DQS Use of selected substances in the past 30 days among 12th graders, 10th graders, and 8th graders, by sex and race: United States.",
      "description": "Data on use of selected substances in the past 30 days among 12th graders, 10th graders, and 8th graders in the United States, by sex and race. Data are from Health, United States. Source: Monitoring the Future, Institute for Social Research, University of Michigan, supported by National Institutes of Health, National Institute on Drug Abuse.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Use of selected substances in the past 30 days among 12th graders, 10th graders, and 8th graders, by sex and race: United States.",
          "description": "Data on use of selected substances in the past 30 days among 12th graders, 10th graders, and 8th graders in the United States, by sex and race. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/mtgp-t7vw",
          "modified": "2026-07-02"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-02",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Use of selected substances in the past 30 days among 12th graders, 10th graders, and 8th graders, by sex and race: United States.",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC Wastewater Data for Avian Influenza A (H5)",
      "description": "This dataset provides a complete time history of Avian Influenza A (H5) wastewater sample data and calculated metrics from US sampling locations.\n\nCDC’s National Wastewater Surveillance System (NWSS) includes data collected and reported by:\n• All data with a source designation of “State_Territory” were generated by state and local health departments are reported to CDC and supported with funding through the Epidemiology and Laboratory Capacity for the Prevention and Control of Emerging Infectious Diseases (ELC) Cooperative Agreement (https://www.cdc.gov/epidemiology-laboratory-capacity/php/our-work/index.html).\n• All data with a source designation of “CDC_Verily” were generated by CDC’s national wastewater testing contract (currently with Verily Life Sciences, LLC).\n• All data with a source designation of “WastewaterSCAN” were generated by WastewaterSCAN, a partnership between Stanford University, Emory University, and Verily. All results are understood to be based on inputs that are experimental in nature and are not intended to diagnose or treat any disease. The results are provided “as is” and without warranty of any kind. Stanford does not accept liability for any claim arising out of or in connection with the disclosure of these results. WastewaterSCAN indicates that by accessing or copying any part of the database, the user accepts the terms of Stanford’s license (CC BY-NC 4.0). These data are being made available to inform public health decision making. Anyone seeking to use the database for other purposes or for research is required to contact the WastewaterSCAN / SCAN team (email: wwscan_stanford_emory@lists.stanford.edu) and any use of the data should be cited appropriately (https://data.wastewaterscan.org/about/#18).\n\nLearn more at: www.cdc.gov/wastewater.\n\nThis dataset is updated weekly on Fridays.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/mtpu-urpp",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Wastewater Surveillance System (NWSS)",
          "hasEmail": "mailto:NWSS@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/mt3r-qr2b",
        "@type": "Organization",
        "name": "NWSS"
      },
      "keyword": [
        "influenza",
        "avian influenza a (h5)",
        "flu",
        "h5",
        "h5n1",
        "ncezid",
        "nwss",
        "united states",
        "wastewater",
        "weekly"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mtpu-urpp/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mtpu-urpp",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mtpu-urpp/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mtpu-urpp",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mtpu-urpp/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/mtpu-urpp/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/mtpu-urpp",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/mtpu-urpp/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC Wastewater Data for Avian Influenza A (H5) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/mtpu-urpp",
        "description": "CDC Wastewater Data for Avian Influenza A (H5) - Dataset Home",
        "issued": "2026-03-06",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/mt3r-qr2b",
            "@type": "Organization",
            "name": "NWSS"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US States and Territories"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Household Pulse Survey (HPS): COVID-19 Vaccination among People with Disabilities",
      "description": "Household Pulse Survey (HPS): HPS is a rapid-response survey of adults ages ≥18 years led by the U.S. Census Bureau, in partnership with seven other federal statistical agencies, to measure household experiences during the COVID-19 pandemic. Detailed information on probability sampling using the U.S. Census Bureau’s Master Address File, questionnaires, response rates, and bias assessment is available on the Census Bureau website (https://www.census.gov/data/experimental-data-products/household-pulse-survey.html).\n\nData from adults age ≥18 years are collected by 20-minute online survey from randomly sampled households stratified by state and the top 15 metropolitan statistical areas (MSAs). Data are weighted to represent total persons age 18 and older living within households and to mitigate possible bias that can result from non-responses and incomplete survey frame. Data from adults age ≥18 years are collected by 20-minute online survey from randomly sampled households stratified by state and the top 15 metropolitan statistical areas (MSAs). For more information on this survey, see https://www.census.gov/programs-surveys/household-pulse-survey.html.\n\nData are weighted to represent total persons age 18 and older living within households and to mitigate possible bias that can result from non-responses and incomplete survey frame. Responses in the Household Pulse Survey (https://www.census.gov/programs-surveys/household-pulse-survey.html) are self-reported. Estimates of vaccination coverage may differ from vaccine administration data reported at COVID-19 Vaccinations in the United States (https://covid.cdc.gov/covid-data-tracker/#vaccinations).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/muep-c3qd",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Assessment Branch, Immunization Services Division, NCIRD, CDC",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "NCIRD"
      },
      "keyword": [
        "hps",
        "covid-19 vaccination",
        "covid tracker",
        "disability"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/muep-c3qd/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/muep-c3qd",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/muep-c3qd/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/muep-c3qd",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/muep-c3qd/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/muep-c3qd/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/muep-c3qd",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Household Pulse Survey (HPS): COVID-19 Vaccination among People with Disabilities - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/muep-c3qd",
        "description": "Household Pulse Survey (HPS): COVID-19 Vaccination among People with Disabilities - Dataset Home",
        "issued": "2021-09-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "NCIRD"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/muzy-jte6",
      "identifier": "https://data.cdc.gov/api/views/muzy-jte6",
      "title": "Weekly Provisional Counts of Deaths by State and Select Causes, 2020-2023",
      "description": "Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nProvisional counts of deaths by the week the deaths occurred, by state of occurrence, and by select underlying causes of death for 2020-2023.  The dataset also includes weekly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.\n\nNOTE: death counts are presented with a one week lag.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Weekly Provisional Counts of Deaths by State and Select Causes, 2020-2023",
          "description": "Effective September 27, 2023, this dataset will no longer be updated. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/muzy-jte6",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Provisional Counts of Deaths by State and Select Causes, 2020-2023",
        "accessURL": "https://www.cdc.gov/nchs/nvss/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1GG. Spotted fever rickettsiosis, Confirmed to Smallpox",
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      "description": "NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ In previous years, cases were reported as Salmonellosis. Beginning in January 2019, cases began to be reported as Salmonella Paratyphi infection.\n¶ In previous years, cases were reported as typhoid fever. Beginning in January 2019, cases began to be reported as Salmonella Typhi infection.\n** In previous years, cases were reported as Salmonellosis (excluding paratyphoid fever and typhoid fever). Beginning in January 2019, cases began to be reported as Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection).",
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      },
      "keyword": [
        "osh",
        "state and community interventions",
        "surveillance and evaluation",
        "tobacco",
        "administration and management",
        "best practices for comprehensive tobacco control programs",
        "cessation intervention",
        "health communication interventions",
        "office on smoking and health"
      ],
      "modified": "2026-09-23",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Funding/CDC-Best-Practices-for-Comprehensive-Tobacco-Contr/n4v6-56e8"
      },
      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/n4v6-56e8",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n4v6-56e8/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n4v6-56e8",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/n4v6-56e8/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n4v6-56e8/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n4v6-56e8",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/n4v6-56e8/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n4v6-56e8/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n4v6-56e8",
          "mediaType": "application/geo+json",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n4v6-56e8/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n4v6-56e8",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n4v6-56e8/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n4v6-56e8",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2007 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/n4v6-56e8",
        "description": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2007 - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly United States COVID-19 Cases and Deaths among Dialysis Patients - ARCHIVED",
      "description": "Mandated reporting of Weekly Aggregate Case and Death Count data among dialysis patients and dialysis facility staff (healthcare personnel or HCP) in the United States was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will contain weekly aggregate data from January 1, 2021, through May 10, 2023, and will remain publicly available.\n\nThis archived public use dataset contains reported COVID-19 case and death data per week for all states and territories, along with weekly totals for the entire United States, throughout the given timeframe.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/n5qs-vw3x",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC-INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "covid",
        "coronavirus",
        "dialysis",
        "hemodialysis",
        "sars-cov-2",
        "ncird-corvd",
        "covid deaths",
        "covid cases",
        "covid-19"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n5qs-vw3x/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n5qs-vw3x",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n5qs-vw3x/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n5qs-vw3x",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/n5qs-vw3x/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n5qs-vw3x/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n5qs-vw3x",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/n5qs-vw3x/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly United States COVID-19 Cases and Deaths among Dialysis Patients - ARCHIVED - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/n5qs-vw3x",
        "description": "Weekly United States COVID-19 Cases and Deaths among Dialysis Patients - ARCHIVED - Dataset Home",
        "issued": "2023-10-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
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      ],
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        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 7 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 34 of 48 and corresponds to the time range between April 23, 2012, and May 28, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/n6vn-mi6w",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/n6vn-mi6w/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/n6vn-mi6w",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 7 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/n6vn-mi6w",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 7 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Face mask fit modifications that improve source control performance dataset",
      "description": "SARS-CoV-2 is a highly infectious respiratory virus that is primarily transmitted by respiratory aerosols and droplets emitted during activities such as talking, breathing, and coughing.  Because symptomatic and asymptomatic individuals with COVID-19 can exhibit a high viral load of SARS-CoV-2 in their respiratory fluids, the CDC recommends that people wear a face mask that covers the nose and mouth to reduce community transmission during the COVID-19 pandemic. Wearing a face mask to protect others from potentially infectious droplets, called source control, has been shown to be a highly effective infection control strategy to limit the spread of COVID-19.  The presence of mask face seal leaks enables respiratory aerosols to escape out rather than pass through the filtering materials of the mask, consequently reducing the benefits of wearing a face mask for source control.  As such, the current investigation examines various modifications that improve the fit of a medical or cloth face mask and reduce the amounts of expelled aerosols during simulated coughs and exhalations.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/n7uz-829a",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Allergy and Clinical Immunology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/n7uz-829a/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/n7uz-829a",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Face mask fit modifications that improve source control performance dataset - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/n7uz-829a",
        "description": "Face mask fit modifications that improve source control performance dataset - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Chlamydia to Coccidioidomycosis",
      "description": "NNDSS - Table II. Chlamydia to Coccidioidomycosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP:  Nationally notifiable but not published.  Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n* Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/n835-hpyp",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nndss",
        "netss",
        "nedss",
        "mmwr",
        "wonder",
        "coccidioidomycosis",
        "chlamydia trachomatis infection",
        "2016"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n835-hpyp/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n835-hpyp",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n835-hpyp/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n835-hpyp",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/n835-hpyp/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n835-hpyp/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n835-hpyp",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/n835-hpyp/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Chlamydia to Coccidioidomycosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/n835-hpyp",
        "description": "NNDSS - Table II. Chlamydia to Coccidioidomycosis - Dataset Home",
        "issued": "2017-01-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis",
      "description": "NNDSS - Table 1I.  Cryptosporidiosis to Cyclosporiasis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/n83i-w4cq",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "cyclosporiasis",
        "wonder",
        "nndss",
        "2020",
        "cryptosporidiosis",
        "netss",
        "nedss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n83i-w4cq/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n83i-w4cq",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n83i-w4cq/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n83i-w4cq",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/n83i-w4cq/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n83i-w4cq/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n83i-w4cq",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/n83i-w4cq/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n83i-w4cq/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n83i-w4cq",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n83i-w4cq/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n83i-w4cq",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n83i-w4cq/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n83i-w4cq",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/n83i-w4cq",
        "description": "NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Case Surveillance Public Use Data with Geography",
      "description": "<b>Note:</b>\nReporting of new COVID-19 Case Surveillance data will be discontinued July 1, 2024, to align with the process of removing SARS-CoV-2 infections (COVID-19 cases) from the list of nationally notifiable diseases. Although these data will continue to be publicly available, the dataset will no longer be updated.\n\nAuthorizations to collect certain public health data expired at the end of the U.S. public health emergency declaration on May 11, 2023. The following jurisdictions discontinued COVID-19 case notifications to CDC: Iowa (11/8/21), Kansas (5/12/23), Kentucky (1/1/24), Louisiana (10/31/23), New Hampshire (5/23/23), and Oklahoma (5/2/23). Please note that these jurisdictions will not routinely send new case data after the dates indicated. As of 7/13/23, case notifications from Oregon will only include pediatric cases resulting in death.\n\n\nThis case surveillance public use dataset has 19 elements for all COVID-19 cases shared with CDC and includes demographics, geography (county and state of residence), any exposure history, disease severity indicators and outcomes, and presence of any underlying medical conditions and risk behaviors.\n\nCurrently, CDC provides the public with three versions of COVID-19 case surveillance line-listed data: this <a href=\"https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data-with-Ge/n8mc-b4w4\">19 data element dataset with geography</a>, a <a href=\"https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf\">12 data element public use dataset</a>, and a <a href=\"https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Restricted-Access-Detai/mbd7-r32t\">33 data element restricted access dataset</a>.\n\nThe following apply to the public use datasets and the restricted access dataset:\n<ul><li>Data elements can be found on the COVID-19 case report form located at www.cdc.gov/coronavirus/2019-ncov/downloads/pui-form.pdf.</li><li>Data are considered provisional by CDC and are subject to change until the data are reconciled and verified with the state and territorial data providers.</li><li>Some data are suppressed to protect individual privacy.</li><li>Datasets will include all cases with the earliest date available in each record (date received by CDC or date related to illness/specimen collection) at least 14 days prior to the creation of the current datasets. This 14-day lag allows case reporting to be stabilized and ensure that time-dependent outcome data are accurately captured.</li><li>Datasets are updated monthly.</li><li>Datasets are created using CDC’s <a href=\"https://www.cdc.gov/grants/additional-requirements/ar-25.html\">Policy on Public Health Research and Nonresearch Data Management and Access</a> and include protections designed to protect individual privacy.</li><li>For more information about data collection and reporting, please see <a href=\"https://www.cdc.gov/coronavirus/2019-ncov/covid-data/about-us-cases-deaths.html\">https://www.cdc.gov/coronavirus/2019-ncov/covid-data/about-us-cases-deaths.html.</a></li><li>For more information about the COVID-19 case surveillance data, please see <a href=\"https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html\"> https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html</a><br></li></ul>\n\n<b>Overview</b>\n\nThe COVID-19 case surveillance database includes individual-level data reported to U.S. states and autonomous reporting entities, including New York City and the District of Columbia (D.C.), as well as U.S. territories and affiliates. On April 5, 2020, COVID-19 was added to the <a href=\"https://ndc.services.cdc.gov/search-results-year/\">Nationally Notifiable Condition List</a> and classified as “immediately notifiable, urgent (within 24 hours)” by a Council of State and Territorial Epidemiologists (CSTE) Interim Position Statement (<a href=\"https://cdn.ymaws.com/www.cste.org/resource/resmgr/ps/positionstatement2020/Interim-20-ID-01_COVID",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/n8mc-b4w4",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC-INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "cases",
        "surveillance",
        "state",
        "ncird-corvd",
        "microdata",
        "covid-19",
        "covid19",
        "county",
        "coronavirus"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://data.cdc.gov/api/views/n8mc-b4w4/files/f24e6a39-6419-4958-81d2-a22da947f8fc?download=true&filename=data_dictionary_covid_cases_public_geo.xlsx"
      },
      "distribution": [
        {
          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/n8mc-b4w4",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/n8mc-b4w4",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/n8mc-b4w4/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n8mc-b4w4/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n8mc-b4w4",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/n8mc-b4w4/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19 Case Surveillance Public Use Data with Geography - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/n8mc-b4w4",
        "description": "COVID-19 Case Surveillance Public Use Data with Geography - Dataset Home",
        "issued": "2021-03-22",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-01",
          "endDate": "2024-07-05"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
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      ],
      "programCode": [
        "009:020"
      ],
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Percentage of Children 6 Months -17 Years Who Are Up to date with COVID-19 Vaccines and Comparison Between 2025-26 and Previous Seasons by Jurisdiction",
      "description": "• Weekly Cumulative Percentage of Children 6 Months–17 Years Who Are Up to Date with COVID-19 Vaccines and Comparison Between 2025–26 and Previous Seasons, by Jurisdiction. \n\n• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/nis/about/index.html). The NIS-CCM was discontinued at the end of 2023 and questions regarding COVID-19 vaccination status and intent were added to the National Immunization Survey-Flu (NIS-Flu) (https://www.cdc.gov/nis/about/index.html).   \n\n• NIS-CCM and NIS-Flu are national random-digit dial cellular telephone surveys of households with children ages 6 months through 17 years; NIS-Flu is conducted during October-June. The respondent to a NIS-Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination. \n\n• Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 and 2025–26 COVID-19 vaccines were first available at the end of August 2024 and 2025, respectively.  \n\n• The NIS-Flu data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/n97r-u9uh",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "covid-19 vaccination",
        "nis-ccm"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n97r-u9uh/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n97r-u9uh",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n97r-u9uh/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n97r-u9uh",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/n97r-u9uh/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/n97r-u9uh/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/n97r-u9uh",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/n97r-u9uh/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Percentage of Children 6 Months -17 Years Who Are Up to date with COVID-19 Vaccines and Comparison Between 2025-26 and Previous Seasons by Jurisdiction - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/n97r-u9uh",
        "description": "Weekly Cumulative Percentage of Children 6 Months -17 Years Who Are Up to date with COVID-19 Vaccines and Comparison Between 2025-26 and Previous Seasons by Jurisdiction - Dataset Home",
        "issued": "2025-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/ncvk-7amm",
      "identifier": "https://data.cdc.gov/api/views/ncvk-7amm",
      "title": "U.S. State Life Expectancy by Sex, 2019",
      "description": "The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.)\nin 2019 for the total, male and female populations.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "U.S. State Life Expectancy by Sex, 2019",
          "description": "The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.) in 2019 for the total, male and female populations. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/ncvk-7amm",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "U.S. State Life Expectancy by Sex, 2019",
        "accessURL": "https://www.cdc.gov/nchs/data-visualization/state-life-expectancy/index_2019.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Differences in Cumulative RSV Vaccination Coverage Among Adults 75 and Older and 60–74 Years with High-Risk Conditions Ever Vaccinated with RSV Vaccine, Overall, by Selected Demographics",
      "description": "• Weekly Cumulative RSV Vaccination Coverage and Intent Among Adults 75 Years and Older and 60─74 Years with High Risk Conditions Ever Vaccinated with RSV Vaccine by Demographic Characteristics and Jurisdiction \n• Weekly estimates of RSV vaccination coverage and intent among adults 75 years and older and 60─74 years with high risk conditions are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/)\n• In June 2023, the Advisory Committee on Immunization Practices (ACIP) voted to recommend that adults aged ≥60 years may receive a single dose of an RSV vaccine, using shared clinical decision-making. In June 2024, the ACIP voted to recommend a single dose of RSV vaccine for all adults 75 years and older and adults 60–74 years who are at increased risk for severe RSV disease. The data below captures ever receiving a dose of an RSV vaccine by adults 60 years and older. ",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ndai-i7s4",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "iqvia",
        "iis",
        "vsd",
        "rsv vaccination",
        "nis-flu",
        "nis-acm"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ndai-i7s4/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ndai-i7s4",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ndai-i7s4/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ndai-i7s4",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ndai-i7s4/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ndai-i7s4/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ndai-i7s4",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ndai-i7s4/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Differences in Cumulative RSV Vaccination Coverage Among Adults 75 and Older and 60–74 Years with High-Risk Conditions Ever Vaccinated with RSV Vaccine, Overall, by Selected Demographics - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ndai-i7s4",
        "description": "Weekly Differences in Cumulative RSV Vaccination Coverage Among Adults 75 and Older and 60–74 Years with High-Risk Conditions Ever Vaccinated with RSV Vaccine, Overall, by Selected Demographics - Dataset Home",
        "issued": "2024-09-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Source Apportionment and Quantification of Liquid and Headspace Leaks from Closed System Transfer Devices via Selected Ion Flow Tube Mass Spectrometry (SIFT-MS)",
      "description": "Closed system drug-transfer devices (CSTDs) are devices which replace traditional needles, septa, and other connectors used for transferring hazardous drugs (HDs). NIOSH recommends using CSTDs to limit occupational exposure to hazardous materials and sharps when compounding and administering these drugs (NIOSH 2004). One of the engineering challenges associated with CSTDs is management of the headspace that is either compressed or displaced when transferring liquids in and out of drug vials. CSTD designs and components employing various technologies include creating a physical barrier to contain the displaced volume of air or filters to clean the displaced volume of air when transferring HD solutions. In 2015, NIOSH developed a protocol to test material containment of barrier type CSTDs (NIOSH 2015). NIOSH presented a plan to update the testing protocol so that it was applicable to both barrier and air cleaning types of CSTDs (NIOSH 2016). Both barrier type CSTDs and air cleaning type CSTDs may be susceptible to either liquid or headspace vapor leaks. Air-cleaning type CSTDs allow free passage of air but are expected to remove semi-volatile hazardous drugs (HD)s from the exiting airstream. Barrier type CSTDs have been designed to contain air rather than clean it, and it is reasonable to conclude that a headspace leak with a barrier type CSTD would contain the drug at the same concentration as the headspace inside the vial. As a result, the procedure described in this paper can adequately assess the efficacy of barrier type CSTDs based on the volume of liquid and headspace vapor leak measured. However, the volatile compounds used in this procedure will readily pass through an air-cleaning CSTD, regardless of the ability to retain a semi-volatile HD. Therefore, testing the efficacy of an air-cleaning CSTD requires coupling the procedure described herein with an assessment of the ability of air cleaning CSTDs to retain an appropriate semi-volatile surrogate when volumes of headspace containing that surrogate are passed through the CSTDs. The difference in the amount of HD contained in liquid versus headspace vapor leaks may be several orders of magnitude. The work presented herein is a test method that can distinguish the origin and volumetric quantity of liquid and headspace vapor leaked.\n\nCSTD evaluation involves operation of CSTDs during normal use tasks, such as transferring a solution between two drug vials (NIOSH 2015). A test solution containing two volatile organic compounds (VOCs), acetone and methyl t-butyl ether (MTBE), was used in the evaluation. Leaks were measured by detecting the VOCs in a glove chamber using Selected Ion Flow Tube Mass Spectrometry (SIFT-MS) as the detector. Liquid and headspace leaks are differentiated by the ratios of the two VOCs measured as a result of leaks from the CSTD. The compounds, acetone and MTBE, at equal concentrations in a test solution have a concentration ratio in the headspace vapor of the test solution that is very different, as predicted by their Henry’s constants. The ratio of acetone to MTBE detected in the glove chamber can be used to elucidate the source, liquid or headspace, and the magnitude of a leak. The analytical strategy is similar to stable isotope mixing models used to determine contributions from various sources by measuring isotopic ratios (Phillips and Gregg 2001). Propylene glycol (PG) was included in the testing solution as a surrogate for a HD component, though it was not quantified. Fluorescein was included as a visual qualitative indicator of a liquid leak location. SIFT-MS offers low limits of detection and real-time response. The real-time response has the benefit of enabling leaks to be temporally correlated with tasks involving manipulation of CSTD components.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ndit-r2zk",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Chemical and Biochemical Monitoring Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/ndit-r2zk/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/ndit-r2zk",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Source Apportionment and Quantification of Liquid and Headspace Leaks from Closed System Transfer Devices via Selected Ion Flow Tube Mass Spectrometry (SIFT-MS) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ndit-r2zk",
        "description": "Source Apportionment and Quantification of Liquid and Headspace Leaks from Closed System Transfer Devices via Selected Ion Flow Tube Mass Spectrometry (SIFT-MS) - Dataset Home",
        "issued": "2024-11-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
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        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Place Data (GIS Friendly Format), 2020 release",
      "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 27 measures at the place level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ndzg-9nmv",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "prevalence",
        "behaviors",
        "unhealthy",
        "prevention",
        "city",
        "gis",
        "outcomes",
        "place",
        "places"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ndzg-9nmv/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ndzg-9nmv",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
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      "@type": "Dataset",
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        "prefLabel": "Brazil, China (Hong Kong), Haiti, India, Kenya, Malawi, Peru, South Africa, Thailand, Uganda, the United States, Vietnam, and Zimbabwe"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2022-07-01"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:027"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Trends in COVID-19 Cases and Deaths in the United States, by County-level Population Factors - ARCHIVED",
      "description": "Reporting of Aggregate Case and Death Count data was discontinued on May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.\n\nThe surveillance case definition for COVID-19, a nationally notifiable disease, was first described in a <a href=\"https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-2021/\">position statement</a> from the Council for State and Territorial Epidemiologists, which was later <a href=\"https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-covid-19/\">revised</a>. However, there is some variation in how jurisdictions implemented these case definitions. More information on how CDC collects COVID-19 case surveillance data can be found at <a href=\"https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html\">FAQ: COVID-19 Data and Surveillance</a>.\n\n<b>Aggregate Data Collection Process</b>\nSince the beginning of the COVID-19 pandemic, data were reported from state and local health departments through a robust process with the following steps:\n<ul><li>Aggregate county-level counts were obtained indirectly, via automated overnight web collection, or directly, via a data submission process.</li><li>If more than one official county data source existed, CDC used a comprehensive data selection process comparing each official county data source to retrieve the highest case and death counts, unless otherwise specified by the state.</li><li>A CDC data team reviewed counts for congruency prior to integration and set up alerts to monitor for discrepancies in the data.</li><li>CDC routinely compiled these data and post the finalized information on COVID Data Tracker.</li><li>County level data were aggregated to obtain state- and territory- specific totals.</li><li>Counting of cases and deaths is based on date of report and not on the date of symptom onset. CDC calculates rates in these data by using population estimates provided by the US Census Bureau Population Estimates Program (2019 Vintage).</li><li>COVID-19 aggregate case and death data are organized in a time series that includes cumulative number of cases and deaths as reported by a jurisdiction on a given date.  New case and death counts are calculated as the week-to-week change in cumulative counts of cases and deaths reported (i.e., newly reported cases and deaths = cumulative number of cases/deaths reported this week minus the cumulative total reported the prior week.</li></ul>\n\nThis process was collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provided the most up-to-date numbers on cases and deaths by report date. Throughout data collection, CDC retrospectively updated counts to correct known data quality issues.\n\n<b>Description</b>\nThis archived public use dataset focuses on the cumulative and weekly case and death rates per 100,000 persons within various sociodemographic factors across all states and their counties. All resulting data are expressed as rates calculated as the number of cases or deaths per 100,000 persons in counties meeting various classification criteria using <a href=\"https://www.census.gov/data/datasets/time-series/demo/popest/2010s-counties-total.html\">the US Census Bureau Population Estimates Program</a> (2019 Vintage).\n\nEach county within jurisdictions is classified into multiple categories for each factor. All rates in this dataset are based on classification of counties by the characteristics of their population, not individual-level factors.  This applies to each of the available factors observed in this dataset. Specific factors and their corresponding categories are detailed below.\n\n<b>Population-level factors</b>\nEach unique population factor is detailed below. Please note that the “Classification” column describes each of the 12 factors in the dataset, including a data dict",
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      "identifier": "https://data.cdc.gov/api/views/njmz-dpbc",
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        {
          "@type": "Kind",
          "fn": "Surveillance Review and Response Group",
          "hasEmail": "mailto:eocevent394@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "NCIRD-CORVD"
      },
      "keyword": [
        "covid-19",
        "covid"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/njmz-dpbc/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/njmz-dpbc",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/njmz-dpbc/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/njmz-dpbc",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/njmz-dpbc/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/njmz-dpbc/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/njmz-dpbc",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/njmz-dpbc/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Trends in COVID-19 Cases and Deaths in the United States, by County-level Population Factors - ARCHIVED - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/njmz-dpbc",
        "description": "Trends in COVID-19 Cases and Deaths in the United States, by County-level Population Factors - ARCHIVED - Dataset Home",
        "issued": "2023-06-06",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
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            "name": "NCIRD-CORVD"
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        ]
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-22",
          "endDate": "2023-05-10"
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      ],
      "bureauCode": [
        "009:20"
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      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Pregnant Women 18-49 years",
      "description": "Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Pregnant Women 18-49 years\n\n• These monthly flu vaccination coverage estimates for pregnant women are based on electronic health record (EHR) data from the Vaccine Safety Datalink (VSD), a collaboration between CDC’s Immunization Safety Office and nine integrated health care organizations.§ This system has been used annually to estimate vaccination coverage among pregnant women. COVID-19 vaccination coverage for pregnant women is available here.\n\n• Figure 3A. Monthly Cumulative Influenza Vaccination Coverage*, by Flu Season and Race/Ethnicity, Pregnant Women 18-49 years, United States, Data Source: Vaccine Safety Datalink\n\n• Figure 3B. Cumulative Influenza Vaccination Coverage*, by Month, Flu Season, and Race/Ethnicity, Pregnant Women 18-49 years, United States, Data Source: Vaccine Safety Datalink\n\n• For any month’s coverage estimate, the denominator is the number of women with a pregnancy during the current flu season (defined as August through March) beginning before or during the specified month. The numerator is the subset of the denominator who have received flu vaccination prior to, during, or after pregnancy. The denominator increases as more women are identified as pregnant or having been pregnant during the flu season. Cumulative vaccination coverage for one month may be lower than cumulative coverage for a previous month due to addition to the denominator of women who are less likely to have received vaccination.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/nkr7-scx6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/b3ca-i9my",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "children",
        "vaccine coverage",
        "nis-flu",
        "nis",
        "influenza",
        "flu"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/nkr7-scx6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nkr7-scx6",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/nkr7-scx6/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nkr7-scx6",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nkr7-scx6/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nkr7-scx6",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/nkr7-scx6/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Pregnant Women 18-49 years - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/nkr7-scx6",
        "description": "Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Pregnant Women 18-49 years - Dataset Home",
        "issued": "2025-01-31",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/b3ca-i9my",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Selected Trend Table from Health, United States, 2011. Vaccination coverage among children 19 - 35 months of age for selected diseases, by race, Hispanic origin, poverty level, and location of residence in metropolitan statistical area: United States, sel",
      "description": "Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/nkri-ptxd",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vr5q-rutf",
        "@type": "Organization",
        "name": "SFranco"
      },
      "keyword": [
        "children",
        "vaccination",
        "hus"
      ],
      "modified": "2026-08-17",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nkri-ptxd/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nkri-ptxd",
          "mediaType": "text/csv",
          "modified": "2026-08-17"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nkri-ptxd/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nkri-ptxd",
          "mediaType": "application/json",
          "modified": "2026-08-17",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/nkri-ptxd/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nkri-ptxd/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nkri-ptxd",
          "mediaType": "application/xml",
          "modified": "2026-08-17",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/nkri-ptxd/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Selected Trend Table from Health, United States, 2011. Vaccination coverage among children 19 - 35 months of age for selected diseases, by race, Hispanic origin, poverty level, and location of residence in metropolitan statistical area: United States, sel - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/nkri-ptxd",
        "description": "Selected Trend Table from Health, United States, 2011. Vaccination coverage among children 19 - 35 months of age for selected diseases, by race, Hispanic origin, poverty level, and location of residence in metropolitan statistical area: United States, sel - Dataset Home",
        "issued": "2013-08-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vr5q-rutf",
            "@type": "Organization",
            "name": "SFranco"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State-Level Restrictions on Vaccine Mandate – Currently in Effect",
      "description": "This dataset contains vaccine mandate prohibitions that were issued by 50 states, 5 territories, and the District of Columbia currently in effect. State and territorial laws are collected from publicly available government websites and cataloged and coded in HHS Protect by one coder with one or more additional coders conducting quality assurance.\nData were collected to determine when certain groups were prohibited from issuing vaccine mandates and to what groups those prohibitions applied. Data can be used to determine the status of state-issued vaccine requirement prohibitions for certain groups as of the date of last update. \nThese data are derived from publicly available state and territorial laws and official policy documents found by the CDC, Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 1, 2020 through _____. These data will be updated as new laws are collected. Any orders not available through publicly accessible websites are not included in this dataset. Recommendations not included in a law are not included in these data. Effective and expiration dates were coded using only the date provided in the law. These data do not necessarily represent the official position of the Centers for Disease Control and Prevention.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/nmdn-2xuz",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Mara Howard-Williams",
          "hasEmail": "mailto:prw0@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/qwcg-irwv",
        "@type": "Organization",
        "name": "T.J. Pierce"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nmdn-2xuz/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nmdn-2xuz",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nmdn-2xuz/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nmdn-2xuz",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/nmdn-2xuz/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nmdn-2xuz/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nmdn-2xuz",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/nmdn-2xuz/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State-Level Restrictions on Vaccine Mandate – Currently in Effect - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/nmdn-2xuz",
        "description": "State-Level Restrictions on Vaccine Mandate – Currently in Effect - Dataset Home",
        "issued": "2022-03-30",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/qwcg-irwv",
            "@type": "Organization",
            "name": "T.J. Pierce"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "An Investigation Into the Relationship Between Coal Workers’ Pneumoconiosis and Dust Exposure in U.S. Coal Miners",
      "description": "The National Study of Coal Workers’ Pneumoconiosis (NSCWP) is a large, continuing epidemiologic study of the respiratory health of U.S. coal miners. By using information from the study, prevalence of coal workers’ pneumoconiosis (CWP) was related to indexes of dust exposure obtained from research and compliance sampling data. Clear relationships between prevalences of both simple CWP and progressive massive fibrosis (PMF) and estimated dust exposure were seen. Additional effects independently associated with coal rank (% carbon) and age were also seen. Logistic model fitting indicated that between 2% and 12% of miners exposed to a 2-mg/m3 dust environment in bituminous coal mines would be expected to have Category 2 or greater CWP after a 40-yr working life; PMF would be expected for between 1.3% and 6.7%. The risks for anthracite miners appeared to be greater. There was a suggestion of a background level of abnormality, not associated with dust exposure, but increasing with age. Although there are certain we",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/nnvr-zdhw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Respiratory Health Division, Surveillance Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/nnvr-zdhw/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/nnvr-zdhw",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "An Investigation Into the Relationship Between Coal Workers’ Pneumoconiosis and Dust Exposure in U.S. Coal Miners - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/nnvr-zdhw",
        "description": "An Investigation Into the Relationship Between Coal Workers’ Pneumoconiosis and Dust Exposure in U.S. Coal Miners - Dataset Home",
        "issued": "2024-11-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2011 (Part 11 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 19 of 48 and corresponds to the time range between May 2, 2011, and May 16, 2011.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/np7j-t9mi",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/np7j-t9mi/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/np7j-t9mi",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 11 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/np7j-t9mi",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 11 of 19) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rates of TBI-related Deaths by Age Group - United States, 2001 - 2010",
      "description": "Changes in the rates of TBI-related deaths vary depending on age.  For persons 44 years of age and younger, TBI-related deaths decreased between the periods of 2001-2002 and 2009-2010.  Rates for age groups 45-64 years of age remained stable for this same ten-year period.  For persons 65 years and older, rates of TBI-related deaths increased during this time period, from 41.2 to 45.2 deaths per 100,000.Go to http://www.cdc.gov/traumaticbraininjury/data/index.html to view more TBI data & statistics.Source: http://www.cdc.gov/traumaticbraininjury/data/rates_deaths_byage.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/nq6q-szvs",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "head trauma",
        "brain injury",
        "traumatic brain injury",
        "tbi"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nq6q-szvs/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nq6q-szvs",
          "mediaType": "text/csv",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/nq6q-szvs/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nq6q-szvs",
          "mediaType": "application/json",
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          }
        },
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Rates of TBI-related Deaths by Age Group - United States, 2001 - 2010 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/nq6q-szvs",
        "description": "Rates of TBI-related Deaths by Age Group - United States, 2001 - 2010 - Dataset Home",
        "issued": "2014-04-01",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Nutrition, Physical Activity, and Obesity - County Level Breastfeeding Initiation Rates",
      "description": "Birth certificate data from National Vital Statistics System were used to determine the percentage of live infants who initiated breastfeeding. Breastfeeding initiation was defined as receiving any breast milk or colostrum between delivery and discharge from the birth facility or birth certificate completion for home births. These rates are available by county or county equivalent (e.g., independent cities, parishes, boroughs) of the mother’s residence. Visit https://dnpao-dtm.cdc.gov/dnpao-data-trends-maps/?page=local&indicator=0&location=0 to see US and state by state maps.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/nqmd-cajs",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DNPAO Public Inquiries",
          "hasEmail": "mailto:dnpaoinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cvya-y955",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "infant health",
        "nutrition physical activity and weight status",
        "breastfeeding"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nqmd-cajs/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nqmd-cajs",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nqmd-cajs/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nqmd-cajs",
          "mediaType": "application/json",
          "modified": "2026-09-23",
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            "accessURL": "https://data.cdc.gov/api/views/nqmd-cajs/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nqmd-cajs/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nqmd-cajs",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Nutrition, Physical Activity, and Obesity - County Level Breastfeeding Initiation Rates - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/nqmd-cajs",
        "description": "Nutrition, Physical Activity, and Obesity - County Level Breastfeeding Initiation Rates - Dataset Home",
        "issued": "2026-07-16",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cvya-y955",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US Counties"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:029"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥75 years and enrolled in a Part D plan, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse",
      "description": "• Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged 75 years\n\n• RSV vaccination coverage among Medicare-Fee-for-service beneficiaries aged 75 years and older and enrolled in a Part D plan in assessed using data files from the Medicare Fee-for-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/nqu5-vn7d",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "rsv vaccination",
        "iis",
        "vsd",
        "iqvia",
        "nis"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nqu5-vn7d/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nqu5-vn7d",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nqu5-vn7d/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nqu5-vn7d",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nqu5-vn7d/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nqu5-vn7d",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥75 years and enrolled in a Part D plan, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/nqu5-vn7d",
        "description": "Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥75 years and enrolled in a Part D plan, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse - Dataset Home",
        "issued": "2025-01-29",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "title": "NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue",
      "description": "NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/nr42-fsyk",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nedss",
        "wonder",
        "severe dengue",
        "nndss",
        "2022",
        "dengue",
        "dengue-like illness",
        "dengue virus infections",
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      ],
      "modified": "2026-09-08",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/nr42-fsyk/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nr42-fsyk",
          "mediaType": "text/csv",
          "modified": "2026-09-08"
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          "accessURL": "https://data.cdc.gov/d/nr42-fsyk",
          "mediaType": "application/json",
          "modified": "2026-09-08",
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            "accessURL": "https://data.cdc.gov/api/views/nr42-fsyk/columns.json",
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          }
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          "accessURL": "https://data.cdc.gov/d/nr42-fsyk",
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            "accessURL": "https://data.cdc.gov/api/views/nr42-fsyk/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nr42-fsyk/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nr42-fsyk",
          "mediaType": "application/geo+json",
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        },
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          "accessURL": "https://data.cdc.gov/d/nr42-fsyk",
          "mediaType": "application/vnd.google-earth.kmz",
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/nr42-fsyk",
        "description": "NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
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      },
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      ],
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/nr4s-juj3",
      "identifier": "https://data.cdc.gov/api/views/nr4s-juj3",
      "title": "Provisional COVID-19 Deaths: Focus on Ages 0-18 Years",
      "description": "Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html).\n\nDeaths involving coronavirus disease 2019 (COVID-19) with a focus on ages 0-18 years in the United States.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
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      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Provisional COVID-19 Deaths: Focus on Ages 0-18 Years",
          "description": "Effective June 28, 2023, this dataset will no longer be updated. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/nr4s-juj3",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Provisional COVID-19 Deaths: Focus on Ages 0-18 Years",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "United States COVID-19 County Level of Community Transmission Historical Changes - ARCHIVED",
      "description": "On October 20, 2022, CDC began retrieving aggregate case and death data from jurisdictional and state partners weekly instead of daily. This dataset contains archived historical community transmission and related data elements by county. Although these data will continue to be publicly available, this dataset has not been updated since October 20, 2022. An archived dataset containing weekly historical community transmission data by county can also be found here: <a href=\"https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn\">Weekly COVID-19 County Level of Community Transmission Historical Changes | Data | Centers for Disease Control and Prevention (cdc.gov)</a>. \n\n<b>Related data</b>\nCDC has been providing the public with two versions of COVID-19 county-level community transmission level data: this historical dataset with the daily county-level transmission data from January 22, 2020, and a dataset with the daily values as originally posted on the COVID Data Tracker. Similar to this dataset, the <a href=\"https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-of-Community-T/nra9-vzzn\">original dataset</a> with daily data as posted is archived on 10/20/2022. It will continue to be publicly available but will no longer be updated. A new dataset containing community transmission data by county as originally posted is now published weekly and can be found at: <a href=\"https://data.cdc.gov/dataset/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6\">Weekly COVID-19 County Level of Community Transmission as Originally Posted | Data | Centers for Disease Control and Prevention (cdc.gov)</a>.\n\nThis public use dataset has 7 data elements reflecting historical data for community transmission levels for all available counties and jurisdictions. It contains historical data for the county level of community transmission and includes updated data submitted by states and jurisdictions. Each day, the dataset was updated to include the most recent days’ data and incorporate any historical changes made by jurisdictions. This dataset includes data since January 22, 2020. Transmission level is set to low, moderate, substantial, or high using the calculation rules below.\n\n<b>Methods for calculating county level of community transmission indicator</b>\nThe County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and <a href=\"https://www.cdc.gov/mmwr/volumes/70/wr/mm7030e2.htm?s_cid=mm7030e2_w#T1_down\">here</a>). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making.\n\n<b>CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2</b>\n\n<b>Total New Case Rate Metric:</b> \"New cases per 100,000 persons in the past 7 days\" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. \"New cases per 100,000 persons in the past 7 days\" is considered to have transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00).\n\n<b>Test Percent Positivity Metric:</b> \"Percentage of positive NAAT in the past 7 days\" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests resulted over the last 7 days. \"Percentage of positive NAAT in the past 7 days\" is considered to have transmission level of Low (less than 5.00); Moderate (5.00-7.99); Substa",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/nra9-vzzn",
      "contactPoint": [
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          "fn": "CDC-INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
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        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
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        "name": "CDC"
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        "coronavirus",
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          "modified": "2026-09-22",
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        "@type": "Document",
        "title": "United States COVID-19 County Level of Community Transmission Historical Changes - ARCHIVED - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/nra9-vzzn",
        "description": "United States COVID-19 County Level of Community Transmission Historical Changes - ARCHIVED - Dataset Home",
        "issued": "2022-01-06",
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            "@type": "Organization",
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        "prefLabel": "US"
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          "startDate": "2020-01-22",
          "endDate": "2022-10-18"
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      "programCode": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months - 17 Years, 2023-24, United States",
      "description": "• Influenza vaccination coverage and parental intent among children 6 months to 17 years is assessed through the National Immunization Survey-Child COVID Module providing weekly COVID-19 vaccination coverage estimates. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)\n\n• For the 2023-2024 flu season, the CDC recommends a flu shot for most people 6 months and older.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/nsxk-tvbw",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:vaxview@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "nis-ccm",
        "flu vaccination"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/nsxk-tvbw/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nsxk-tvbw",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nsxk-tvbw/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nsxk-tvbw",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nsxk-tvbw/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nsxk-tvbw",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        }
      ],
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        "@type": "Document",
        "title": "Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months - 17 Years, 2023-24, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/nsxk-tvbw",
        "description": "Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months - 17 Years, 2023-24, United States - Dataset Home",
        "issued": "2023-11-29",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/nt65-c7a7",
      "identifier": "https://data.cdc.gov/api/views/nt65-c7a7",
      "title": "NCHS - Injury Mortality: United States (nt65-c7a7)",
      "description": "This dataset describes injury mortality in the United States beginning in 1999. Two concepts are included in the circumstances of an injury death: intent of injury and mechanism of injury. Intent of injury describes whether the injury was inflicted purposefully (intentional injury) and, if purposeful, whether the injury was self-inflicted (suicide or self-harm) or inflicted by another person (homicide). Injuries that were not purposefully inflicted are considered unintentional (accidental) injuries. Mechanism of injury describes the source of the energy transfer that resulted in physical or physiological harm to the body. Examples of mechanisms of injury include falls, motor vehicle traffic crashes, burns, poisonings, and drownings (1,2).\n\nData are based on information from all resident death certificates filed in the 50 states and the District of Columbia. Age-adjusted death rates (per 100,000 standard population) are based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.\n\nCauses of injury death are classified by the International Classification of Diseases, Tenth Revision (ICD–10). Categories of injury intent and injury mechanism generally follow the categories in the external-cause-of-injury mortality matrix (1,2). Cause-of-death statistics are based on the underlying cause of death.\n\nSOURCES\n\nCDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).\n\nREFERENCES\n\n1. National Center for Health Statistics. ICD–10: External cause of injury mortality matrix.\n\n2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.\n\n3. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf.\n\n4. Miniño AM, Anderson RN, Fingerhut LA, Boudreault MA, Warner M. Deaths: Injuries, 2002. National vital statistics reports; vol 54 no 10. Hyattsville, MD: National Center for Health Statistics. 2006.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Injury Mortality: United States (nt65-c7a7)",
          "description": "This dataset describes injury mortality in the United States beginning in 1999. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/nt65-c7a7",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Injury Mortality: United States (nt65-c7a7)",
        "accessURL": "https://www.cdc.gov/nchs/nvss/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Medicaid Coverage Of Cessation Treatments And Barriers To Treatments",
      "description": "2008-2024. American Lung Association. Cessation Coverage.  Medicaid data compiled by the Centers for Disease Control and Prevention’s Office on Smoking and Health were obtained from the State Tobacco Cessation Coverage Database, developed and administered by the American Lung Association.  Data from 2008-2012 are reported on an annual basis; beginning in 2013 data are reported on a quarterly basis.  Data include state-level information on Medicaid coverage of approved medications by the Food and Drug Administration (FDA) for tobacco cessation treatment; types of counseling recommended by the Public Health Service (PHS) and barriers to accessing cessation treatment. Note: Section 2502 of the Patient Protection and Affordable Care Act requires all state Medicaid programs to cover all FDA-approved tobacco cessation medications as of January 1, 2014. However, states are currently in the process of modifying their coverage to come into compliance with this requirement. Data in the STATE System on Medicaid coverage of tobacco cessation medications reflect evidence of coverage that is found in documentable sources, and may not yet reflect medications covered under this requirement.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ntaa-dtex",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "american lung association",
        "medicaid coverage of cessation treatment",
        "comprehensive medicaid coverage",
        "osh",
        "office on smoking and health",
        "cessation coverage"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Cessation-Coverage-/Medicaid-Coverage-Of-Cessation-Treatments-And-Barr/ntaa-dtex"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ntaa-dtex/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ntaa-dtex",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ntaa-dtex/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ntaa-dtex",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ntaa-dtex/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ntaa-dtex/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ntaa-dtex",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ntaa-dtex/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ntaa-dtex/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ntaa-dtex",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ntaa-dtex/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ntaa-dtex",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ntaa-dtex/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ntaa-dtex",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Medicaid Coverage Of Cessation Treatments And Barriers To Treatments - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ntaa-dtex",
        "description": "Medicaid Coverage Of Cessation Treatments And Barriers To Treatments - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Youth Risk Behavioral Surveillance System (YRBSS) - Mental Health Indicators",
      "description": "<b>Data source description</b>: YRBSS measures health-related behaviors and experiences that can lead to death and disability among youth and adults. Results help monitor health trends, identify emerging issues, and plan and evaluate programs that can help improve adolescent health. Responses from adolescents were used to produce estimates of experiences, behaviors, and conditions related to mental health and well-being for the nation and participating states.    \n\n \n<b>For additional information, please see</b>: <a href = \"https://www.cdc.gov/mental-health/about-data/mental-health-data-sources.html\" target =\"_blank\">Mental Health Data Sources</a>.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/nu3s-3dwd",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Mental Health Data Channel",
          "hasEmail": "mailto:mentalhealthdata@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cxhp-e5ei",
        "@type": "Organization",
        "name": "Mental Health Data Channel"
      },
      "keyword": [
        "survey",
        "mental health",
        "behavioral risk factor",
        "yrbss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nu3s-3dwd/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nu3s-3dwd",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nu3s-3dwd/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nu3s-3dwd",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/nu3s-3dwd/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nu3s-3dwd/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nu3s-3dwd",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/nu3s-3dwd/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Youth Risk Behavioral Surveillance System (YRBSS) - Mental Health Indicators - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/nu3s-3dwd",
        "description": "Youth Risk Behavioral Surveillance System (YRBSS) - Mental Health Indicators - Dataset Home",
        "issued": "2025-05-02",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cxhp-e5ei",
            "@type": "Organization",
            "name": "Mental Health Data Channel"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "U.S."
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:033"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, Census Tract Data 2022 release",
      "description": "This dataset contains model-based census tract-level estimates for the PLACES 2022 release. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/nw2y-v4gm",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "risk",
        "prevention",
        "prevalence",
        "places",
        "outcomes",
        "health",
        "census tract",
        "brfss",
        "behaviors",
        "status"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-Census-Tract-D/cwsq-ngmh"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nw2y-v4gm/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nw2y-v4gm",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nw2y-v4gm/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nw2y-v4gm",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/nw2y-v4gm/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nw2y-v4gm/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nw2y-v4gm",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/nw2y-v4gm/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nw2y-v4gm/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nw2y-v4gm",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nw2y-v4gm/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nw2y-v4gm",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/nw2y-v4gm/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/nw2y-v4gm",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Local Data for Better Health, Census Tract Data 2022 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/nw2y-v4gm",
        "description": "PLACES: Local Data for Better Health, Census Tract Data 2022 release - Dataset Home",
        "issued": "2023-06-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/p4r5-qsgs",
      "identifier": "https://data.cdc.gov/api/views/p4r5-qsgs",
      "title": "DQS Delay or nonreceipt of needed medical care, prescription drugs, or dental care during the past 12 months due to cost: United States(Archived)",
      "description": "This topic is no longer available in the NCHS Data Query System (DQS). Data on delay or nonreceipt of needed medical care, nonreceipt of needed prescription drugs, or nonreceipt of needed dental care during the past 12 months due to cost, in the United States, by selected population characteristics. Data from Health, United States. SOURCE: National Center for Health Statistics, National Health Interview Survey.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Delay or nonreceipt of needed medical care, prescription drugs, or dental care during the past 12 months due to cost: United States(Archived)",
          "description": "This topic is no longer available in the NCHS Data Query System (DQS). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/p4r5-qsgs",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Delay or nonreceipt of needed medical care, prescription drugs, or dental care during the past 12 months due to cost: United States(Archived)",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/p56q-jrxg",
      "identifier": "https://data.cdc.gov/api/views/p56q-jrxg",
      "title": "NCHS - Drug Poisoning Mortality by County: United States (p56q-jrxg)",
      "description": "This dataset contains model-based county estimates for drug-poisoning mortality.\n\nDeaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).\n\nEstimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2016 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.\n\nDeath rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances.\n\nSmoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates for 1999-2015 have been updated, and may differ slightly from previously published estimates. Differences are expected to be minimal, and may result from different county boundaries used in this release (see below) and from the inclusion of an additional year of data. Previously published estimates can be found here for comparison.(6) Estimates are unavailable for Broomfield County, Colorado, and Denali County, Alaska, before 2003 (7,8). Additionally, Clifton Forge County, Virginia only appears on the mortality files prior to 2003, while Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. These counties were therefore merged with adjacent counties where necessary to create a consistent set of geographic units across the time period. County boundaries are largely consistent with the vintage 2005-2007 bridged-race population file geographies, with the modifications noted previously (7,8).\n\nREFERENCES\n1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm.\n\n2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html.\n\n3. Rossen LM, Khan D, Warner M. Trends and geographic patterns in drug-poisoning death rates in the U.S., 1999–2009. Am J Prev Med 45(6):e19–25. 2013.\n\n4. Rossen LM, Khan D, Warner M. Hot spots in mortality from drug poisoning in the United States, 2007–2009. Health Place 26:14–20. 2014.\n\n5. Rossen LM, Khan D, Hamilton B, Warner M. Spatiotemporal variation in selected health outcomes from the National Vital Statistics System. Presented at: 2015 National Conference on Health Statistics, August 25, 2015, Bethesda, MD. Available from: http://www.cdc.gov/nchs/ppt/nchs2015/Rossen_Tuesday_WhiteOak_BB3.pdf.\n\n6. Rossen LM, Bastian B, Warner M, and Khan D. NCHS – Drug Poisoning Mortality by County: United States, 1999-2015. Available from: https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-County-United-Sta/pbkm-d27e.\n\n7. National Center for Health Statistics. County geography changes: 1990–2012. Available from: http://www.cdc.gov/nchs/data/nvss/bridged_race/County_Geography_Changes.pdf.\n\n8. National Center for Health Statistics. County geography changes: 1990–2015. Available from:  https://www.cdc.gov/nchs/nvss/bridged_race/county_geography-_changes2015.pdf.",
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          "@type": "dcat:Distribution",
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      "modified": "2025-04-21",
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        "@type": "Document",
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        "accessURL": "https://www.cdc.gov/nchs/data-visualization/drug-poisoning-mortality/"
      },
      "inventoried": "2026-09-27"
    },
    {
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      "title": "Page Views by Minute - 20240301-20240731",
      "description": "This dataset has page views for the 404 page on www.cdc.gov aggregated by minute for the time period 3/1/2024 - 7/31/2024.",
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      "keyword": [
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      "modified": "2026-09-22",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/p5x4-u35c/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/p5x4-u35c",
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        "accessURL": "https://data.cdc.gov/d/p5x4-u35c",
        "description": "Page Views by Minute - 20240301-20240731 - Dataset Home",
        "issued": "2025-12-04",
        "publisher": [
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    },
    {
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          "modified": "2026-02-26"
        }
      ],
      "rights": [
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      ],
      "modified": "2026-02-26",
      "landingPage": {
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        "title": "NCHS Rapid Surveys System",
        "accessURL": "https://wwwdev.cdc.gov/nchs/rss/rapid-surveys-system.html"
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      "inventoried": "2026-09-27"
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    {
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      "title": "NNDSS - TABLE 1I. Cryptosporidiosis to Cyclosporiasis",
      "description": "NNDSS - Table 1I. Cryptosporidiosis to Cyclosporiasis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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      "identifier": "https://data.cdc.gov/api/views/p8ia-4jqj",
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        }
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        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "cyclosporiasis",
        "2019",
        "cryptosporidiosis",
        "nedss",
        "netss",
        "nndss",
        "wonder"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/p8ia-4jqj/export.csv?accessType=DOWNLOAD",
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          "mediaType": "text/csv",
          "modified": "2026-09-09"
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          "downloadURL": "https://data.cdc.gov/api/v3/views/p8ia-4jqj/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/p8ia-4jqj",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/p8ia-4jqj/columns.json",
            "title": "Columns for this asset"
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        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/p8ia-4jqj/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/p8ia-4jqj",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1I. Cryptosporidiosis to Cyclosporiasis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/p8ia-4jqj",
        "description": "NNDSS - TABLE 1I. Cryptosporidiosis to Cyclosporiasis - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
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        "009:00"
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      "programCode": [
        "009:020"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "SAMHSA Synar Reports: Youth Tobacco Sales Glossary and Methodology",
      "description": "Download the latest version of the Glossary and Methodology File",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/p8tr-pquj",
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          "@type": "Kind",
          "fn": "OSHData Support",
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        }
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        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "methodology",
        "glossary"
      ],
      "modified": "2026-09-22",
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/p8tr-pquj/application/vnd.ms-excel",
          "accessURL": "https://data.cdc.gov/d/p8tr-pquj",
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        "@type": "Document",
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        "accessURL": "https://data.cdc.gov/d/p8tr-pquj",
        "description": "SAMHSA Synar Reports: Youth Tobacco Sales Glossary and Methodology - Dataset Home",
        "issued": "2015-01-23",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary",
      "description": "NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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      "identifier": "https://data.cdc.gov/api/views/paqx-33a8",
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        }
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        "name": "aso7@cdc.gov"
      },
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        "nndss",
        "netss",
        "nedss",
        "congenital",
        "2020",
        "wonder",
        "syphilis"
      ],
      "modified": "2026-09-09",
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        "@type": "Document",
        "title": "NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/paqx-33a8",
        "description": "NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary - Dataset Home",
        "issued": "2020-01-21",
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    {
      "@type": "Dataset",
      "title": "NNDSS - Table I. infrequently reported notifiable diseases",
      "description": "NNDSS - Table I. infrequently reported notifiable diseases - 2015.  In this Table, provisional cases of selected infrequently reported notifiable diseases (<1,000 cases reported during the preceding year) are displayed.  Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in these tables are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnote:-: No reported cases    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year  2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. �� Calculated by summing the incidence counts for the current week, the 2 weeks preceding the current week, and the 2 weeks following the current week, for a total of 5 preceding years. The total sum of incident cases is then divided by 25 weeks. Additional information is available at http://wwwn.cdc.gov/nndss/document/5yearweeklyaverage.pdf. �� Data for the Arboviral disease, Chikungunya, and Hantavirus infection disease, non-Hantavirus Pulmonary Syndrome (HPS), will be displayed in this table after the CDC obtains Office of Management and Budget Paperwork Reduction Act approval to receive data for these conditions. ** Includes both neuroinvasive and nonneuroinvasive. Updated weekly from reports to the Division of Vector-Borne Infectious Diseases, National Center for Zoonotic, Vector-Borne, and Enteric Diseases (ArboNET Surveillance). Data for West Nile virus are available in Table II. ��ʉ�� Not reportable in all states. Data from states where the condition is not reportable are excluded from this table except starting in 2007 for the arboviral diseases, STD data, TB data, and influenza-associated pediatric mortality, and in 2003 for SARS-CoV. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.  ���� Data for H. influenzae (all ages, all serotypes) are available in Table II. ���� Updated weekly from reports to the Influenza Division, National Center for Immunization and Respiratory Diseases. Please refer to the MMWR publication for weekly updates to the footnote for this condition. *** Please refer to the MMWR publication for weekly updates to the footnote for this condition. ��ʉ�ʉ�� Data for meningococcal disease (all serogroups) are available in Table II. ������ Please refer to the MMWR publication for weekly updates to the footnote for this condition. ������ Updated weekly from reports to the Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention. **** Please refer to the MMWR publication for weekly updates to the footnote for this condition. See Table II for Dengue Hemorrhagic Fever.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/pb4z-432k",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "chancroid",
        "chikungunya virus",
        "cholera",
        "crimean-congo",
        "cyclosporiasis",
        "diphtheria",
        "eastern equine virus disease",
        "ebola",
        "encephalitis",
        "guanarito",
        "haemophilus influenzae invasive",
        "hansen disease",
        "hantavirus infection",
        "hantavirus pulmonary syndrome",
        "hemolytic uremic syndrome",
        "influenza-associated pediatric mortality",
        "junin",
        "lassa fever",
        "leptospirosis",
        "listeriosis",
        "lujo virus",
        "machupo",
        "marburg fever",
        "measles",
        "meningococcal disease invasive",
        "mmwr",
        "nedss",
        "netss",
        "nndss",
        "novel influenza a",
        "plague",
        "poliomyelitis paralytic",
        "polio virus infection nonparalytic",
        "postdiarrheal",
        "powassan virus disease",
        "psittacosis",
        "q fever",
        "rabies human",
        "sabia-associated",
        "sars-cov",
        "smallpox",
        "st. louis virus disease",
        "streptococcal toxic-shock syndrome",
        "syphilis congenital (age <1 yr)",
        "toxic-shock syndrome (staphylococcal)",
        "trichinellosis",
        "hepatitis b infection perinatal",
        "2015",
        "anthrax",
        "arboviral diseases",
        "botulism",
        "brucellosis",
        "california serogroup virus disease",
        "tularemia",
        "typhoid fever",
        "vancomycin",
        "viral hemorrhagic fever",
        "western equine virus disease",
        "wonder",
        "yellow fever"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pb4z-432k/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pb4z-432k",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pb4z-432k/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pb4z-432k",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/pb4z-432k/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pb4z-432k/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pb4z-432k",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/pb4z-432k/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table I. infrequently reported notifiable diseases - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/pb4z-432k",
        "description": "NNDSS - Table I. infrequently reported notifiable diseases - Dataset Home",
        "issued": "2016-01-07",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/pbkm-d27e",
      "identifier": "https://data.cdc.gov/api/views/pbkm-d27e",
      "title": "NCHS - Drug Poisoning Mortality by County: United States (pbkm-d27e)",
      "description": "This dataset describes drug poisoning deaths at the county level by selected demographic characteristics and includes age-adjusted death rates for drug poisoning from 1999 to 2015.\n\nDeaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).\n\nEstimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.\n\nEstimate does not meet standards of reliability or precision. Death rates are flagged as “Unreliable” in the chart when the rate is calculated with a numerator of 20 or less.\n\nDeath rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Estimates should be interpreted with caution.\n\nSmoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year during 1999–2015. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates are unavailable for Broomfield County, Colo., and Denali County, Alaska, before 2003 (6,7). Additionally, Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. County boundaries are consistent with the vintage 2005-2007 bridged-race population file geographies (6).",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Drug Poisoning Mortality by County: United States (pbkm-d27e)",
          "description": "This dataset describes drug poisoning deaths at the county level by selected demographic characteristics and includes age-adjusted death rates for drug poisoning from 1999 to 2015. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/pbkm-d27e",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Drug Poisoning Mortality by County: United States (pbkm-d27e)",
        "accessURL": "https://www.cdc.gov/nchs/data-visualization/drug-poisoning-mortality/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "500 Cities: City-level Data (GIS Friendly Format), 2018 release",
      "description": "2016, 2015. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. There are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) in this 2018 release from the 2015 BRFSS that were the same as the 2017 release.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/pf7q-w24q",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "500 Cities Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "behaviors",
        "unhealthy",
        "tract",
        "prevention",
        "prevalence",
        "outcomes",
        "gis",
        "cities",
        "census",
        "500cities"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pf7q-w24q/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pf7q-w24q",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pf7q-w24q/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pf7q-w24q",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/pf7q-w24q/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pf7q-w24q/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pf7q-w24q",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/pf7q-w24q/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "500 Cities: City-level Data (GIS Friendly Format), 2018 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/pf7q-w24q",
        "description": "500 Cities: City-level Data (GIS Friendly Format), 2018 release - Dataset Home",
        "issued": "2019-12-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Systemic and immunotoxicity induced by topical application of perfluorohexane sulfonic acid (PFHxS) in a murine model",
      "description": "Per- and polyfluoroalkyl substances (PFAS) are a large group of stable man-mad surfactants that are incorporated into numerous products for their water and oil resistance and have been associated with adverse health effects.   The present study evaluated the systemic and immunotoxicity of sub-chronic 28- or 10-day dermal exposure of PFHxS (0.625-5% or 15.63-125 mg/kg/dose) in a murine model.  Elevated levels of PFHxS were detected in the serum and urine, suggesting that absorption is occurring through the dermal route.  Liver weight (% body) significantly increased and spleen weight (% body) significantly deceased with PFHxS exposure supported by histopathological changes. Additionally, PFHxS significantly reduced the humoral immune response and altered immune subsets in the spleen, suggesting immunosuppression.  Gene expression changes were observed in the liver, skin, and spleen with genes involved in fatty acid metabolism, necrosis, and inflammation.  Immune-cell phenotyping identified significant decreases in B-cells, NK cells, and CD11b+ cells in the spleen along with increases in CD4+ and CD8+ T-cells, NK cells, and neutrophils in the skin.  These findings support dermal PFHxS-induced liver damage and immune suppression.  These data support PFHxS absorption through the skin and demonstrate immunotoxicity via this exposure route, raising concern about prompting the need for further investigation.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/pgaa-i327",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Allergy and Clinical Immunology Branch (ACIB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/pgaa-i327/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/pgaa-i327",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Systemic and immunotoxicity induced by topical application of perfluorohexane sulfonic acid (PFHxS) in a murine model - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/pgaa-i327",
        "description": "Systemic and immunotoxicity induced by topical application of perfluorohexane sulfonic acid (PFHxS) in a murine model - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Doses (in Millions) of Influenza Vaccines Distributed by Season, United States",
      "description": "• Weekly Cumulative Doses (in Millions) of Influenza Vaccines Distributed by Season in the United States. \n\n• Influenza vaccine is produced by private manufacturers. These data are submitted to CDC by current U.S.─ licensed manufacturers of influenza vaccine and a subset of influenza vaccine wholesalers and distributors that receive vaccine directly from these manufacturers. These data are not projected but approximate all influenza vaccines distributed in the United States.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ph8r-wzxn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "flu vaccination",
        "iis",
        "iqvia",
        "nis-acm",
        "vsd"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ph8r-wzxn/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ph8r-wzxn",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ph8r-wzxn/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ph8r-wzxn",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ph8r-wzxn/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ph8r-wzxn/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ph8r-wzxn",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ph8r-wzxn/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Doses (in Millions) of Influenza Vaccines Distributed by Season, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ph8r-wzxn",
        "description": "Weekly Cumulative Doses (in Millions) of Influenza Vaccines Distributed by Season, United States - Dataset Home",
        "issued": "2025-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Modeling Neuroimmune Interactions in Human Subjects and Animal Models to Predict Subtype Specific Multidrug Treatments for Gulf War Illness",
      "description": "Gulf War Illness (GWI) is a persistent chronic neuroinflammatory illness exacerbated by external stressors and characterized by fatigue, musculoskeletal pain, cognitive and neurological problems linked to underlying immunological dysfunction for which there is no known treatment.  Here, we constructed a logic model of immune regulatory behavior between human clinical samples and mouse models of GWI subtyped by exposure to traumatic stress.  We identify several ideal multi-intervention strategies and potential drug candidates that may be used to treat chronic neuroinflammation in GWI.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/phkb-u384",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Toxicology and Molecular Biology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/phkb-u384/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/phkb-u384",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-08"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Modeling Neuroimmune Interactions in Human Subjects and Animal Models to Predict Subtype Specific Multidrug Treatments for Gulf War Illness - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/phkb-u384",
        "description": "Modeling Neuroimmune Interactions in Human Subjects and Animal Models to Predict Subtype Specific Multidrug Treatments for Gulf War Illness - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chancroid",
      "description": "NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chancroid - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Data for Carbapenemase-producing Carbapenem-resistant enterobacteriaceae (CP-CRE) will be displayed in this table after the CDC obtains Office of Management and Budget Paperwork Reduction Act approval to receive data for this condition.",
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      "accessLevel": "public",
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        }
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        "name": "Centers for Disease Control and Prevention"
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      "keyword": [
        "osh",
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        "preemption",
        "policy",
        "legislation",
        "state system"
      ],
      "modified": "2026-09-23",
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        "downloadURL": "https://chronicdata.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Preemptio/piju-vf3p"
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        "accessURL": "https://data.cdc.gov/d/piju-vf3p",
        "description": "CDC STATE System E-Cigarette Legislation - Preemption - Dataset Home",
        "issued": "2023-07-18",
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      "title": "Provisional COVID-19 Deaths: Distribution of Deaths by Race and Hispanic Origin",
      "description": "Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nThis data file contains the following indicators that can be used to illustrate potential differences in the burden of deaths due to COVID-19 according to race and ethnicity:\ncount of COVID-19 deaths, distribution of COVID-19 deaths, unweighted distribution of population, and weighted distribution of population.",
      "contactPoint": {
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      "distribution": [
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          "@type": "dcat:Distribution",
          "title": "Provisional COVID-19 Deaths: Distribution of Deaths by Race and Hispanic Origin",
          "description": "Effective September 27, 2023, this dataset will no longer be updated. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/pj7m-y5uh",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
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      ],
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        "title": "Provisional COVID-19 Deaths: Distribution of Deaths by Race and Hispanic Origin",
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      "inventoried": "2026-09-27"
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      "description": "2005. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
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          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
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        "@id": "https://data.cdc.gov/user/uj8q-r4hw",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
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        "infant health",
        "unintended pregnancy",
        "tobacco use",
        "stress",
        "pregnancy history",
        "preconception health",
        "obesity",
        "morbidity",
        "mental health",
        "medicaid",
        "alcohol use",
        "breastfeeding",
        "contraception",
        "wic",
        "reproductive health",
        "sleep behavior",
        "smoke exposure",
        "prenatal care"
      ],
      "modified": "2026-09-22",
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        "downloadURL": "https://chronicdata.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2005/pj7z-f3xf"
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      "distribution": [
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        "title": "CDC PRAMStat Data for 2005 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/pj7z-f3xf",
        "description": "CDC PRAMStat Data for 2005 - Dataset Home",
        "issued": "2023-07-18",
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      "@id": "https://data.cdc.gov/api/views/pjb2-jvdr",
      "identifier": "https://data.cdc.gov/api/views/pjb2-jvdr",
      "title": "DQS Infant mortality rates, by race and Hispanic origin of mother, state, and territory: United States and U.S. dependent areas (Archived)",
      "description": "This topic is no longer available in the NCHS Data Query System (DQS). Search, visualize, and download other estimates from over 120 health topics with DQS, available from: https://www.cdc.gov/nchs/dataquery/index.htm.\nData on on average annual infant mortality rates in the United States and U.S. dependent areas, by race and Hispanic origin of mother, state, and territory. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Linked Birth/Infant Death Data Set.",
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        "fn": "National Center for Health Statistics",
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          "@type": "dcat:Distribution",
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          "accessURL": "https://data.cdc.gov/api/views/pjb2-jvdr",
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      "inventoried": "2026-09-27"
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    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease",
      "description": "NNDSS - TABLE 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease  – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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          "fn": "CDC INFO",
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        "@type": "Organization",
        "name": "aso7@cdc.gov"
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        "wonder",
        "powassan virus disease",
        "2020",
        "la crosse virus disease",
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        "jamestown canyon virus disease"
      ],
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        "accessURL": "https://data.cdc.gov/d/pkas-xr96",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "V-safe RSV for Pregnant Women",
      "description": "Users of the V-safe data are required to adhere to the following standards for the analysis and reporting of research data. All research results must be presented and/or published in a manner that protects the confidentiality of participants. V-safe data will not be presented and/or published in any way in which an individual can be identified. Therefore, users will:\n<ol>\n<li>Not attempt to link or permit others to link the data with individually identified records in another database.</li>\n<li>Not attempt to learn the identity of any participant in the data and will not deliberately combine these data with other CDC or non-CDC data for the purpose of matching records to identify individuals. If you should inadvertently discover the identity of any participant, you will ensure the identity of any participant is kept confidential, and will not be used in any publications and/or presentations.</li>\n<li>Not imply or state, either in written or oral form, that interpretations based on analysis of the data reflect official CDC policies or positions.</li>\n<li>Understand that sub-national analyses are not appropriate for this national sample and will not be conducted. </li>\n<li>Understand that V-safe is a voluntary self-enrollment program requiring smartphone access; therefore, information from V-safe might not be representative or generalizable to the US population.</li></ol>\nBy clicking on the weblink below to download and use these V-safe data, you signify your agreement to comply with the above-stated terms.\n\nV-safe is a voluntary U.S. active safety surveillance system established by CDC to characterize local and systemic side effects of new vaccines administered after U.S. authorization or licensure. V-safe participants are not a random sample of all vaccinated persons in the United States and data might not be generalizable to the full U.S. vaccinated population. Participants may have been more likely to complete surveys if experiencing symptoms post-vaccination. All V-safe measures are self-reported, therefore there may be some misclassification of outcomes, vaccine-related information, or demographics.\n\nMobile outages or technical malfunctions may have caused a small number of missing surveys or collection of incorrect survey type. Occasional system outages and attrition over time also contribute to incomplete reporting. \n\nV-safe RSV for Pregnant Women public data includes enrollment, vaccination information, and daily and weekly surveys collected from 11/28/2023 to 3/23/2025. Corresponding V-safe Registration public data (de-identified demographic data) can be downloaded at data.cdc.gov. Please review the V-safe data user agreement before analyzing any V-safe data.",
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      "title": "NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus",
      "description": "NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as \"viral hemorrhagic fevers\". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",
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        "accessURL": "https://data.cdc.gov/d/ppmd-3u54",
        "description": "NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus - Dataset Home",
        "issued": "2021-01-21",
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    },
    {
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      "@id": "https://data.cdc.gov/api/views/pqn7-e45s",
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          "description": "These data represent prevalence estimates of select infectious diseases from the National Health and Nutrition Examination Survey (NHANES). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/pqn7-e45s",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
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      ],
      "modified": "2025-04-21",
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        "title": "NHANES Select Infectious Diseases Prevalence Estimates",
        "accessURL": "https://www.cdc.gov/nchs/nhanes/visualization/"
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    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, County Data 2021 release",
      "description": "This dataset contains model-based county-level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2019 or 2018 county population estimate data, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/pqpp-u99h",
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          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
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        "status"
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      "modified": "2026-09-22",
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        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-County-Data-20/swc5-untb"
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      "description": "This file contains death counts and death rates for drug overdose, suicide, homicide and firearm injuries by county of residence (additional datasets exist for other levels of geography). The data is grouped by 2 different time periods including yearly and trailing twelve months. Please see data dictionary for intents and mechanisms included in each measure. \n\n \n\nWhen there are 1-9 deaths in an area, CDC uses a Bayesian model to calculate rates. A Bayesian model is a type of statistical model often used in geographic analysis. This model can improve stability of the rates in lower population areas and protects privacy by taking into account information from neighboring areas.",
      "accessLevel": "public",
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          "hasEmail": "mailto:injurydashboard@cdc.gov"
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        "@type": "Organization",
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      },
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        "suicide",
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          "accessURL": "https://data.cdc.gov/d/psx4-wq38",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Mapping Injury, Overdose, and Violence - County - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/psx4-wq38",
        "description": "Mapping Injury, Overdose, and Violence - County - Dataset Home",
        "issued": "2025-01-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/jeb5-35de",
            "@type": "Organization",
            "name": "NCIPC Injury Dashboard"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:033"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "V-safe Registration",
      "description": "Users of the V-safe data are required to adhere to the following standards for the analysis and reporting of research data. All research results must be presented and/or published in a manner that protects the confidentiality of participants. V-safe data will not be presented and/or published in any way in which an individual can be identified. Therefore, users will:\n<ol>\n<li>Not attempt to link or permit others to link the data with individually identified records in another database.</li>\n<li>Not attempt to learn the identity of any participant in the data and will not deliberately combine these data with other CDC or non-CDC data for the purpose of matching records to identify individuals. If you should inadvertently discover the identity of any participant, you will ensure the identity of any participant is kept confidential, and will not be used in any publications and/or presentations.</li>\n<li>Not imply or state, either in written or oral form, that interpretations based on analysis of the data reflect official CDC policies or positions.</li>\n<li>Understand that sub-national analyses are not appropriate for this national sample and will not be conducted. </li>\n<li>Understand that V-safe is a voluntary self-enrollment program requiring smartphone access; therefore, information from V-safe might not be representative or generalizable to the US population.</li></ol>\nBy clicking on the weblink below to download and use these V-safe data, you signify your agreement to comply with the above-stated terms.\n\nV-safe is a voluntary U.S. active safety surveillance system established by CDC to characterize local and systemic side effects of new vaccines administered after U.S. authorization or licensure. V-safe participants are not a random sample of all vaccinated persons in the United States and data might not be generalizable to the full U.S. vaccinated population. Participants may have been more likely to complete surveys if experiencing symptoms post-vaccination. All V-safe measures are self-reported, therefore there may be some misclassification of outcomes, vaccine-related information, or demographics.\n\nOccasional system outages and attrition over time may contribute to incomplete reporting. \n\nV-safe Registration public data includes de-identified demographic data for all participants that registered to V-safe from 10/20/2023 to 3/23/2025.  Corresponding protocol data (RSV for Adults, RSV for Pregnant Women, and COVID-19) can be downloaded at data.cdc.gov.  Please review the V-safe data user agreement before analyzing any V-safe data.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ptfs-mnuh",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vsafe@cdc.gov",
          "hasEmail": "mailto:Vsafe@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/crne-bzv2",
        "@type": "Organization",
        "name": "v-safe"
      },
      "keyword": [
        "vaccine safety",
        "v-safe"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/ptfs-mnuh/application/x-zip-compressed",
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        }
      ],
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        "@type": "Document",
        "title": "V-safe Registration - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ptfs-mnuh",
        "description": "V-safe Registration - Dataset Home",
        "issued": "2026-03-19",
        "publisher": [
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          }
        ]
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        "009:20"
      ],
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        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "BRFSS Vision Module Data – Vision & Eye Health",
      "description": "2005-2016. This dataset includes data from the retired BRFSS Vision Module. From 2005-2011 the BRFSS employed a ten question vision module regarding vision impairment, access and utilization of eye care, and self-reported eye diseases. In 2013 and subsequently, one question in the core of BRFSS asks about vision: “Are you blind or do you have serious difficulty seeing, even when wearing glasses?” The latest data for this core question can be found in the Vision and Eye Health Surveillance System (VEHSS). VEHSS is intended to provide population estimates of vision loss function, eye diseases, health disparities, as well as barriers and facilitators to access to vision and eye care. This information can be used for designing, implementing, and evaluating vision and eye health prevention programs. To access the latest BRFSS data, (2013-2017) view the Behavioral Risk Factors – Vision and Eye Health Surveillance dataset (https://chronicdata.cdc.gov/Vision-Eye-Health/Behavioral-Risk-Factors-Vision-and-Eye-Health-Surv/vkwg-yswv).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/pttf-ck53",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DDT Public Inquiries",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "diabetes",
        "eye diseases",
        "vision impairment",
        "heart diseases",
        "hypertension",
        "physical activity",
        "smoking",
        "state",
        "stroke",
        "vhi"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Vision-Eye-Health/Behavioral-Risk-Factors-Vision-Eye-Health/pttf-ck53"
      },
      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/pttf-ck53",
          "mediaType": "text/csv",
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        },
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          "accessURL": "https://data.cdc.gov/d/pttf-ck53",
          "mediaType": "application/json",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/pttf-ck53/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pttf-ck53",
          "mediaType": "application/xml",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/pttf-ck53/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pttf-ck53",
          "mediaType": "application/geo+json",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/pttf-ck53/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pttf-ck53",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pttf-ck53/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pttf-ck53",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "BRFSS Vision Module Data – Vision & Eye Health - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/pttf-ck53",
        "description": "BRFSS Vision Module Data – Vision & Eye Health - Dataset Home",
        "issued": "2023-09-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B",
      "description": "NNDSS - TABLE 1W.  Meningococcal disease,  All serogroups to Meningococcal disease, Serogroup B - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/puin-6ss7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "netss",
        "nedss",
        "meningococcal disease",
        "all serogroups",
        "2019",
        "serogroups acwy",
        "wonder",
        "serogroup b",
        "nndss"
      ],
      "modified": "2026-09-08",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/puin-6ss7/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/puin-6ss7",
          "mediaType": "text/csv",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/puin-6ss7/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/puin-6ss7",
          "mediaType": "application/json",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/puin-6ss7/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/puin-6ss7/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/puin-6ss7",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/puin-6ss7/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/puin-6ss7",
        "description": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Number of Reported Malaria Cases by County— United States, 2017",
      "description": "This dataset contains deidentified data from the National Malaria Surveillance System on the number of malaria cases reported in the United States in 2017, by county. Only counties reporting five or more cases are included in this dataset.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/puzh-5wax",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Kimberly E. Mace",
          "hasEmail": "mailto:igd3@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n7md-vfmy",
        "@type": "Organization",
        "name": "Sushama Acharya"
      },
      "keyword": [
        "county",
        "division of parasitic diseases and malaria",
        "malaria",
        "united states"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/puzh-5wax/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/puzh-5wax",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/puzh-5wax/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/puzh-5wax",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/puzh-5wax/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/puzh-5wax",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/puzh-5wax/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Number of Reported Malaria Cases by County— United States, 2017 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/puzh-5wax",
        "description": "Number of Reported Malaria Cases by County— United States, 2017 - Dataset Home",
        "issued": "2020-07-27",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n7md-vfmy",
            "@type": "Organization",
            "name": "Sushama Acharya"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percent of Pregnant Women Ages 18-49 Years Who Have Received a COVID-19 Vaccine Overall, by Race and Ethnicity, and Season",
      "description": "Weekly COVID-19 Vaccination Coverage, Pregnant Women 18-49 Years Old by Overall, by Race and Ethnicity, and Season  \n\nWeekly COVID-19 vaccination coverage estimates for pregnant women ages 18–49 years are based on electronic health record (EHR) data from the Vaccine Safety Datalink (VSD), a collaboration between CDC's Immunization Safety Office and multiple integrated health care organizations.* \n\nThe denominator includes women with a pregnancy during the respective season† beginning before or during the specified week. The numerator includes those who received a COVID-19 vaccine after the vaccine was available for the respective season‡ before or during pregnancy as of the specified week ending date. Pregnant women are not removed from the numerator or denominator when the pregnancy ends. Cumulative vaccination coverage for one week may be lower than cumulative coverage for a previous week due to the addition of pregnant women in the denominator.§ Additionally, no requirements for length of enrollment in a VSD site are applied, and vaccinations given outside of a VSD site might not be included.± \n\nWeekly comparisons to previous season should take into account differences between seasons in vaccine availability dates.‡",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/pvk6-8bzd",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "vsd",
        "nis-acm",
        "iqvia",
        "iis",
        "covid-19 vaccination"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pvk6-8bzd/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pvk6-8bzd",
          "mediaType": "text/csv",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/pvk6-8bzd/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pvk6-8bzd",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/pvk6-8bzd/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/pvk6-8bzd/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pvk6-8bzd",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/pvk6-8bzd/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percent of Pregnant Women Ages 18-49 Years Who Have Received a COVID-19 Vaccine Overall, by Race and Ethnicity, and Season - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/pvk6-8bzd",
        "description": "Percent of Pregnant Women Ages 18-49 Years Who Have Received a COVID-19 Vaccine Overall, by Race and Ethnicity, and Season - Dataset Home",
        "issued": "2024-10-02",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days),  2012 & 2014, Region 7 - Kansas City",
      "description": "Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012, 2014.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/pvr7-gpk4",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "centers for disease control and prevention",
        "cdc"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pvr7-gpk4/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pvr7-gpk4",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/pvr7-gpk4/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pvr7-gpk4",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/pvr7-gpk4/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/pvr7-gpk4/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pvr7-gpk4",
          "mediaType": "application/xml",
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          }
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/pvr7-gpk4/query.geojson?accessType=DOWNLOAD",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/pvr7-gpk4/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pvr7-gpk4",
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        },
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          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/pvr7-gpk4",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days),  2012 & 2014, Region 7 - Kansas City - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/pvr7-gpk4",
        "description": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days),  2012 & 2014, Region 7 - Kansas City - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 3 - Philadelphia",
      "description": "Rate of deaths by age/sex (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.\n\nUpdated on April 28, 2025, to comply with the President’s Executive Order 14168.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/pvxp-wfpg",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
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        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "cdc",
        "centers for disease control and prevention"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pvxp-wfpg/export.csv?accessType=DOWNLOAD",
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        },
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          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/pvxp-wfpg",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pvxp-wfpg/export.kml?accessType=DOWNLOAD",
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        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pvxp-wfpg/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pvxp-wfpg",
          "mediaType": "application/vnd.google-earth.kmz",
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 3 - Philadelphia - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/pvxp-wfpg",
        "description": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 3 - Philadelphia - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/cg4e-25jx",
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            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
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        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Tests for antibodies to trachoma PGP3 antigen",
      "description": "This set includes data used in a latent class model to compare testing platforms for detection of antibodies against the Chlamydia trachomatis antigen Pgp3.  The analysis was published as: Latent class modeling to compare testing platforms for detection of antibodies against the Chlamydia trachomatis antigen Pgp3. Wiegand RE, Cooley G, Goodhew B, Banniettis N, Kohlhoff S, Gwyn S, Martin DL. Sci Rep. 2018 Mar 9;8(1):4232. doi: 10.1038/s41598-018-22708-9. PMID: 29523810",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/pwgb-7r9t",
      "contactPoint": [
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          "fn": "Ryan E. Wiegand",
          "hasEmail": "mailto:fwk2@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/dd69-vi8n",
        "@type": "Organization",
        "name": "bxm5@cdc.gov"
      },
      "keyword": [
        "chlamydia trachomatis",
        "antibody",
        "latent class",
        "division of parasitic diseases and malaria"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://www.nature.com/articles/s41598-018-22708-9"
      },
      "distribution": [
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          "mediaType": "application/json",
          "modified": "2026-09-22",
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          }
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          "downloadURL": "https://data.cdc.gov/api/v3/views/pwgb-7r9t/query.xml?accessType=DOWNLOAD",
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          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Tests for antibodies to trachoma PGP3 antigen - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/pwgb-7r9t",
        "description": "Tests for antibodies to trachoma PGP3 antigen - Dataset Home",
        "issued": "2019-03-14",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/dd69-vi8n",
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        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "samples from patients from Africa and New York"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly United States COVID-19 Cases and Deaths by State - ARCHIVED",
      "description": "Reporting of new Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will receive a final update on June 1, 2023, to reconcile historical data through May 10, 2023, and will remain publicly available.\n\n<b>Aggregate Data Collection Process </b>\nSince the start of the COVID-19 pandemic, data have been gathered through a robust process with the following steps: \n<ul><li>A CDC data team reviews and validates the information obtained from jurisdictions’ state and local websites via an overnight data review process.</li>\n<li>If more than one official county data source exists, CDC uses a comprehensive data selection process comparing each official county data source, and takes the highest case and death counts respectively, unless otherwise specified by the state. </li>\n<li>CDC compiles these data and posts the finalized information on COVID Data Tracker. </li>\n<li>County level data is aggregated to obtain state and territory specific totals.</li>\n</ul>This process is collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provide the most up-to-date numbers on cases and deaths by report date. CDC may retrospectively update counts to correct data quality issues. \n\n<b>Methodology Changes </b>\nSeveral differences exist between the current, weekly-updated dataset and the archived version: \n<ul><li><b>Source:</b> The current Weekly-Updated Version is based on county-level aggregate count data, while the Archived Version is based on State-level aggregate count data. </li>\n<li><b>Confirmed/Probable Cases/Death breakdown: </b> While the probable cases and deaths are included in the total case and total death counts in both versions (if applicable), they were reported separately from the confirmed cases and deaths by jurisdiction in the Archived Version.  In the current Weekly-Updated Version, the counts by jurisdiction are not reported by confirmed or probable status (See Confirmed and Probable Counts section for more detail).</li>\n<li><b>Time Series Frequency:</b> The current Weekly-Updated Version contains weekly time series data (i.e., one record per week per jurisdiction), while the Archived Version contains daily time series data (i.e., one record per day per jurisdiction). </li>\n<li><b>Update Frequency:</b> The current Weekly-Updated Version is updated weekly, while the Archived Version was updated twice daily up to October 20, 2022. </li></ul>\n<b>Important note:</b> The counts reflected during a given time period in this dataset may not match the counts reflected for the same time period in the archived dataset noted above. Discrepancies may exist due to differences between county and state COVID-19 case surveillance and reconciliation efforts. \n\n<b>Confirmed and Probable Counts </b>\nIn this dataset, counts by jurisdiction are not displayed by confirmed or probable status. Instead, confirmed and probable cases and deaths are included in the Total Cases and Total Deaths columns, when available. Not all jurisdictions report probable cases and deaths to CDC.* Confirmed and probable case definition criteria are described here: \n\n<a href=\"https://cdn.ymaws.com/www.cste.org/resource/resmgr/ps/ps2022/22-ID-01_COVID19.pdf\">Council of State and Territorial Epidemiologists (ymaws.com).</a>\n\n<b>Deaths</b>\nCDC reports death data on other sections of the website: <a href=\"https://covid.cdc.gov/covid-data-tracker/#datatracker-home\"> CDC COVID Data Tracker: Home</a>, <a href=\"https://covid.cdc.gov/covid-data-tracker/?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcases-updates%2Fcases-in-us.html#cases_casesper100klast7days\">CDC COVID Data Tracker: Cases, Deaths, and Testing</a>, and <a href=\"https://www.cdc.gov/nchs/nvss/covid-19.htm\">NCHS Provisional Death Counts</a>. Information presented on the COVID Data Tracker pages is based on the same source (to",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/pwn4-m3yp",
      "contactPoint": [
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          "fn": "CDC-INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
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        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
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        "name": "CDC"
      },
      "keyword": [
        "ncird-corvd",
        "death",
        "covid-19",
        "coronavirus",
        "cases",
        "aggregate"
      ],
      "modified": "2026-09-22",
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        {
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          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        },
        {
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          "accessURL": "https://data.cdc.gov/d/pwn4-m3yp",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly United States COVID-19 Cases and Deaths by State - ARCHIVED - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/pwn4-m3yp",
        "description": "Weekly United States COVID-19 Cases and Deaths by State - ARCHIVED - Dataset Home",
        "issued": "2023-02-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-22",
          "endDate": "2023-05-10"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table IV. Tuberculosis",
      "description": "NNDSS - Table IV. Tuberculosis - 2014.This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States will exclude counts from US territories.  Footnote:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Min: Minimum.    Max: Maximum. * Case counts for reporting year 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf Updated reports to the National Center for HIV/AIDS, Viral Hepatitis, STD and TB Prevention. Data for TB are displayed quarterly.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/pxa6-asqb",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nndss",
        "tuberculosis",
        "mmwr",
        "nedss",
        "netss",
        "tb",
        "wonder",
        "2014"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pxa6-asqb/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pxa6-asqb",
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          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pxa6-asqb/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pxa6-asqb",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/pxa6-asqb/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pxa6-asqb/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pxa6-asqb",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/pxa6-asqb/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table IV. Tuberculosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/pxa6-asqb",
        "description": "NNDSS - Table IV. Tuberculosis - Dataset Home",
        "issued": "2015-01-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "DASH - Global School-based Student Health Survey (GSHS)",
      "description": "2003-2015. Global School dataset.  The Global School-based Student Health Survey (GSHS) was developed by the World Health Organization (WHO) in collaboration with the United Nations' UNICEF, UNESCO, and UNAIDS; and with technical assistance from CDC.  The GSHS is a school-based survey conducted primarily among students aged 13-17 years in countries around the world.  It uses core questionnaire modules that address the leading causes of morbidity and mortality among children and adults worldwide: 1) Alcohol use, 2) dietary behaviors, 3) drug use, 4) hygiene, 5) mental health, 6) physical activity, 7) protective factors, 8) sexual behaviors that contribute to HIV infection, other sexually-transmitted infections, and unintended pregnancy, 9) tobacco use, and 10) violence and unintentional injury.  This dataset contains global data from 2003 – 2015.  Additional information about the GSHS can be found at https://www.cdc.gov/gshs/index.htm.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/pxpe-pgrg",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DASH Publc Inquiries",
          "hasEmail": "mailto:nccdDashInfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "global",
        "student health",
        "survey",
        "youth online",
        "gshs",
        "risk behavior"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Youth-Risk-Behaviors/DASH-Global-School-based-Student-Health-Survey-GSH/pxpe-pgrg"
      },
      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/pxpe-pgrg",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/pxpe-pgrg/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pxpe-pgrg",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pxpe-pgrg/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pxpe-pgrg",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/pxpe-pgrg/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pxpe-pgrg/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pxpe-pgrg",
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        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pxpe-pgrg/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pxpe-pgrg",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/pxpe-pgrg/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/pxpe-pgrg",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "DASH - Global School-based Student Health Survey (GSHS) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/pxpe-pgrg",
        "description": "DASH - Global School-based Student Health Survey (GSHS) - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
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      "bureauCode": [
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      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections",
      "description": "NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses. With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2012 have been variant influenza viruses.",
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        }
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        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
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        "name": "aso7@cdc.gov"
      },
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        "mumps",
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        "novel influenza a virus infections"
      ],
      "modified": "2026-09-09",
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        "description": "NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - Dataset Home",
        "issued": "2021-01-21",
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            "@type": "Organization",
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      ],
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/q3t8-zr7t",
      "identifier": "https://data.cdc.gov/api/views/q3t8-zr7t",
      "title": "COVID-19 Hospital Data from the National Hospital Care Survey",
      "description": "The National Hospital Care Survey (NHCS) collects data on patient care in hospital-based settings to describe patterns of health care delivery and utilization in the United States. Settings currently include inpatient and emergency departments (ED). Additionally, the NHCS contributes data that may inform public health emergencies as the survey is designed to capture emerging diseases and viruses that require hospitalizations, including COVID-19 encounters. The 2020 - 2023 NHCS are not yet fully operational so it is important to note that these data are not nationally representative.\n\nThe data are from 26 hospitals submitting inpatient and 26 hospitals submitting ED Uniform Bill (UB)-04 administrative claims from March 18, 2020-December 26, 2023.  Even though the data are not nationally representative, they can provide insight on the impact of COVID-19 on various types of hospitals throughout the country. This information is not available in other hospital reporting systems. The NHCS data from these hospitals can show results by a combination of indicators related to COVID-19, such as length of inpatient stay, in-hospital mortality, comorbidities, and intubation or ventilator use. NHCS data allow for reporting on patient conditions and treatments within the hospital over time.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
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            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "COVID-19 Hospital Data from the National Hospital Care Survey",
          "description": "The National Hospital Care Survey (NHCS) collects data on patient care in hospital-based settings to describe patterns of health care delivery and utilization in the United States. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/q3t8-zr7t",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
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      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19 Hospital Data from the National Hospital Care Survey",
        "accessURL": "https://www.cdc.gov/nchs/covid19/nhcs.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "DASH - Youth Risk Behavior Surveillance System (YRBSS): High School –  Including Sexual Orientation",
      "description": "2015-2017. High School Dataset – Including Sexual Orientation. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors\r\namong youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and\r\nother drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human\r\nimmunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors\r\nthe prevalence of obesity and asthma and other priority health behaviors.  This dataset contains national, state, and local data from 2015 that includes two aspects of sexual orientation – sexual identity and sex of sexual contacts.  Additional information about the YRBSS can be found at www.cdc.gov/yrbss.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/q6p7-56au",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DASH Public Inquiries",
          "hasEmail": "mailto:nccddashinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "risk behavior",
        "high school",
        "sexual contacts",
        "sexual identity",
        "sexual orientation",
        "survey",
        "youth online",
        "yrbs"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Youth-Risk-Behaviors/DASH-Youth-Risk-Behavior-Surveillance-System-YRBSS/q6p7-56au"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q6p7-56au/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q6p7-56au",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q6p7-56au/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q6p7-56au",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/q6p7-56au/columns.json",
            "title": "Columns for this asset"
          }
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/q6p7-56au/query.xml?accessType=DOWNLOAD",
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          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/q6p7-56au/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q6p7-56au",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q6p7-56au/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q6p7-56au",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q6p7-56au/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q6p7-56au",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "DASH - Youth Risk Behavior Surveillance System (YRBSS): High School –  Including Sexual Orientation - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/q6p7-56au",
        "description": "DASH - Youth Risk Behavior Surveillance System (YRBSS): High School –  Including Sexual Orientation - Dataset Home",
        "issued": "2023-07-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
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      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Monthly Cumulative Number and Percent of Persons Who Received 1+ COVID-19 Vaccination Doses and Comparison between 2025─26 and Previous Seasons, by Age Group and Jurisdiction, United States",
      "description": "Monthly Cumulative Number and Percent of Persons Who Received 1+COVID-19 Vaccination Doses and Comparison between 2025–26 and Previous Seasons, by Age Group and Jurisdiction \n\nCOVID-19 vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group. \n\nMonthly estimates shown are cumulative, reflecting all persons vaccinated from July 1 through a given month of that season.*,†, ‡ Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/q84f-e68r",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "covid-19 vaccination",
        "iis",
        "vsd",
        "nis-acm",
        "iqvia"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/q84f-e68r/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q84f-e68r",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/q84f-e68r/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q84f-e68r",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/q84f-e68r/query.xml?accessType=DOWNLOAD",
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          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Monthly Cumulative Number and Percent of Persons Who Received 1+ COVID-19 Vaccination Doses and Comparison between 2025─26 and Previous Seasons, by Age Group and Jurisdiction, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/q84f-e68r",
        "description": "Monthly Cumulative Number and Percent of Persons Who Received 1+ COVID-19 Vaccination Doses and Comparison between 2025─26 and Previous Seasons, by Age Group and Jurisdiction, United States - Dataset Home",
        "issued": "2026-01-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/q85u-gmyc",
      "identifier": "https://data.cdc.gov/api/views/q85u-gmyc",
      "title": "AH Provisional COVID-19 Deaths by HHS Region, Race, and Age Group, 2020-2021",
      "description": "Provisional deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period (week, month, year), HHS region, race and Hispanic origin, and age group (0-24, 25-64, 65+ years) for 2020-2021.\n\nUnited States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Provisional COVID-19 Deaths by HHS Region, Race, and Age Group, 2020-2021",
          "description": "Provisional deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period (week, month, year), HHS region, race and Hispanic origin, and age group (0-24, 25-64, 65+ years) for 2020-2021. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/q85u-gmyc",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Provisional COVID-19 Deaths by HHS Region, Race, and Age Group, 2020-2021",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, Place Data 2021 release",
      "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at  www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/q8ig-wwk9",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "behaviors",
        "status",
        "risk",
        "prevention",
        "prevalence",
        "places",
        "place",
        "outcomes",
        "health",
        "city",
        "brfss"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-Place-Data-202/eav7-hnsx"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q8ig-wwk9/export.csv?accessType=DOWNLOAD",
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          "accessURL": "https://data.cdc.gov/d/q8ig-wwk9",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
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        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q8ig-wwk9/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q8ig-wwk9",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/q8ig-wwk9/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q8ig-wwk9/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q8ig-wwk9",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q8ig-wwk9/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q8ig-wwk9",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q8ig-wwk9/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q8ig-wwk9",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Local Data for Better Health, Place Data 2021 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/q8ig-wwk9",
        "description": "PLACES: Local Data for Better Health, Place Data 2021 release - Dataset Home",
        "issued": "2022-10-11",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
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        "009:20"
      ],
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        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease",
      "description": "NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\nFootnotes:\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/q8j9-sue7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "2022",
        "wonder",
        "nedss",
        "arboviral diseases",
        "west nile virus disease",
        "netss",
        "st. louis virus disease",
        "nndss"
      ],
      "modified": "2026-09-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q8j9-sue7/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q8j9-sue7",
          "mediaType": "text/csv",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q8j9-sue7/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q8j9-sue7",
          "mediaType": "application/json",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/q8j9-sue7/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q8j9-sue7/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q8j9-sue7",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/q8j9-sue7/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q8j9-sue7/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q8j9-sue7",
          "mediaType": "application/geo+json",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q8j9-sue7/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q8j9-sue7",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-08"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/q8j9-sue7/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q8j9-sue7",
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/q8j9-sue7",
        "description": "NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
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        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Efficacy of universal masking for source control and personal protection from simulated respiratory aerosols in a room",
      "description": "Masks block aerosols produced during coughs and exhalations (“source control”). Masks also slow and deflect cough and exhalation airflows, which changes the dispersion of aerosols. Factors such as the directions in which people are facing (orientation) and separation distance also affect aerosol dispersion. However, it is not clear how masking, orientation, and distance interact. We placed a respiratory aerosol simulator (“source”) and a breathing simulator (“recipient”) in a chamber and measured aerosol concentrations for different combinations of masking, orientation, and separation distance. When the simulators were front-to-front during coughing, masks reduced the 15-minute mean aerosol concentration at the recipient by 92% (p < 0.0001) at 0.9 and 1.8 m separation. When the simulators were side-by-side, masks reduced the concentration by 81% at 0.9 m and 78% at 1.8 m (p < 0.0001 for both). During breathing, masks reduced the aerosol concentration by 66% when front-to-front (p = 0.0056) and 76% when side-by-side (p < 0.0001) at 0.9 m. Similar results were seen at 1.8 m. When the simulators were unmasked, changing the orientations from front-to-front to side-by-side reduced the cough aerosol concentration by 59% at 0.9 m and 60% at 1.8 m (p < 0.0001 for both). When both simulators were masked, changing the orientations did not significantly change the concentration at either distance during coughing or breathing. Increasing the distance between the simulators from 0.9 m to 1.8 m during coughing reduced the aerosol concentration by 25% when no masks were worn (p < 0.0001) but had little effect when both simulators were masked (4% decrease, p = 0.7090). During breathing, when neither simulator was masked, increasing the separation reduced the concentration by 13%, which approached significance (p = 0.0737), while the change was not significant when both source and recipient were masked (8% decrease, p = 0.3235). Our results suggest that universal masking reduces exposure to respiratory aerosol particles regardless of the orientation and separation distance between the source and recipient.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/q8qz-3pb6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Chemical and Biochemical Monitoring Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/q8qz-3pb6/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/q8qz-3pb6",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Efficacy of universal masking for source control and personal protection from simulated respiratory aerosols in a room - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/q8qz-3pb6",
        "description": "Efficacy of universal masking for source control and personal protection from simulated respiratory aerosols in a room - Dataset Home",
        "issued": "2024-11-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, Place Data 2020 release",
      "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates  include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/q8xq-ygsk",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "500 Cities Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "behaviors",
        "unhealthy",
        "prevalence",
        "outcomes",
        "city",
        "brfss",
        "places",
        "place",
        "prevention"
      ],
      "modified": "2026-09-23",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-Place-Data-202/eav7-hnsx"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q8xq-ygsk/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q8xq-ygsk",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q8xq-ygsk/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q8xq-ygsk",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/q8xq-ygsk/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q8xq-ygsk/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q8xq-ygsk",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/q8xq-ygsk/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q8xq-ygsk/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q8xq-ygsk",
          "mediaType": "application/geo+json",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q8xq-ygsk/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q8xq-ygsk",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q8xq-ygsk/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q8xq-ygsk",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Local Data for Better Health, Place Data 2020 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/q8xq-ygsk",
        "description": "PLACES: Local Data for Better Health, Place Data 2020 release - Dataset Home",
        "issued": "2021-09-29",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Vaccine Hesitancy for COVID-19: County and local estimates",
      "description": "Due to the change in the survey instrument regarding intention to vaccinate, our estimates for “hesitant or unsure” or “hesitant” derived from April 14-26, 2021, are not directly comparable with prior Household Pulse Survey data and should not be used to examine trends in hesitancy.\n\nTo support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates (https://aspe.hhs.gov/pdf-report/vaccine-hesitancy) using the most recently available federal survey data.\n\nWe estimate hesitancy rates at the state level using the U.S. Census Bureau’s Household Pulse Survey (HPS) (https://www.census.gov/programs-surveys/household-pulse-survey.html) data and utilize the estimated values to predict hesitancy rates at the Public Use Microdata Areas (PUMA) level using the Census Bureau’s 2019 American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS)(https://www.census.gov/programs-surveys/acs/microdata.html). To create county-level estimates, we used a PUMA-to-county crosswalk from the Missouri Census Data Center(https://mcdc.missouri.edu/applications/geocorr2014.html). PUMAs spanning multiple counties had their estimates apportioned across those counties based on overall 2010 Census populations.\n\nThe HPS is nationally representative and includes information on U.S. residents’ intentions to receive the COVID-19 vaccine when available, as well as other sociodemographic and geographic (state, region and metropolitan statistical areas) information. The ACS is a nationally representative survey, and it provides key sociodemographic and geographic (state, region, PUMAs, county) information. We utilized data for the survey collection period May 26, 2021 – June 7, 2021, which the HPS refers to as Week 31..\n\nPUMA COVID-19 Hesitancy Data - https://data.cdc.gov/Vaccinations/Vaccine-Hesitancy-for-COVID-19-Public-Use-Microdat/djj9-kh3p",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/q9mh-h2tw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "HHS",
          "hasEmail": "mailto:joel.ruhter@hhs.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/tjyw-xtku",
        "@type": "Organization",
        "name": "HHS/ASPE"
      },
      "keyword": [
        "vaccine hesitancy",
        "covid-19",
        "coronavirus"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q9mh-h2tw/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q9mh-h2tw",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q9mh-h2tw/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q9mh-h2tw",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/q9mh-h2tw/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/q9mh-h2tw/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/q9mh-h2tw",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/q9mh-h2tw/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Vaccine Hesitancy for COVID-19: County and local estimates - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/q9mh-h2tw",
        "description": "Vaccine Hesitancy for COVID-19: County and local estimates - Dataset Home",
        "issued": "2021-05-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/tjyw-xtku",
            "@type": "Organization",
            "name": "HHS/ASPE"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1AA.  Poliovirus infection, nonparalytic to Psittacosis",
      "description": "NNDSS - TABLE 1AA.  Poliovirus infection, nonparalytic to Psittacosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
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        "psittacosis",
        "wonder",
        "poliovirus infection",
        "nonparalytic",
        "nndss",
        "netss",
        "nedss",
        "2019"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/q9sm-44y3",
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            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1AA.  Poliovirus infection, nonparalytic to Psittacosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/q9sm-44y3",
        "description": "NNDSS - TABLE 1AA.  Poliovirus infection, nonparalytic to Psittacosis - Dataset Home",
        "issued": "2019-04-23",
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            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
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        ]
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      "programCode": [
        "009:020"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Fatality Assessment and Control Evaluation (FACE) Program",
      "description": "Each day, between 12 to 13 U.S. workers die as a result of a traumatic injury on the job. Investigations conducted through the FACE program allow the identification of factors that contribute to these fatal injuries. This information is used to develop comprehensive recommendations for preventing similar deaths. This web page provides access to NIOSH investigation reports and other safety resources.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/q9tu-7yha",
      "contactPoint": [
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          "fn": "PHM",
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        "name": "data.cdc.gov"
      },
      "keyword": [
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        "cdc"
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      "modified": "2026-09-09",
      "landingPage": {
        "@type": "Document",
        "title": "Fatality Assessment and Control Evaluation (FACE) Program - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/q9tu-7yha",
        "description": "Fatality Assessment and Control Evaluation (FACE) Program - Dataset Home",
        "issued": "2015-03-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/ryxc-if5r",
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      "programCode": [
        "009:020"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "National Artesunate for Severe Malaria Program Artesunate Dosing Data- April to December 2019",
      "description": "This dataset includes deidentified data on patients receiving artesunate through the National Artesunate for Severe Malaria Program from April- December 2019. \n\nThis dataset contains artesunate dosing data only.\nPlease see the links below for the other datasets and the attached word document, 'Guide to NASMP Datasets':\n\nData from Case Report- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Cas/igaz-icki\n\nData on Follow-On Antimalarial Dosing- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Fol/g3k9-gyw7\n\nData on Microscopy (Parasitemia values)- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Mic/v2k9-ctv4\n\nAll data can be easily linked using the ParticipantID field, a unique ID number assigned to each participant.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qan4-gt4k",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Francisca Abanyie, MD, MPH",
          "hasEmail": "mailto:why6@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/3ehp-hx5k",
        "@type": "Organization",
        "name": "PWI9@cdc.gov"
      },
      "keyword": [
        "malaria",
        "division of parasitic diseases and malaria",
        "artesunate"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/qan4-gt4k/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qan4-gt4k",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/qan4-gt4k/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qan4-gt4k",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/qan4-gt4k/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qan4-gt4k",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
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        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Artesunate for Severe Malaria Program Artesunate Dosing Data- April to December 2019 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qan4-gt4k",
        "description": "National Artesunate for Severe Malaria Program Artesunate Dosing Data- April to December 2019 - Dataset Home",
        "issued": "2020-04-10",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/3ehp-hx5k",
            "@type": "Organization",
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          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1II. Tetanus to Trichinellosis",
      "description": "NNDSS - TABLE 1II. Tetanus to Trichinellosis – 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qbrk-85z2",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
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        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nndss",
        "tetanus",
        "trichinellosis",
        "wonder",
        "toxic shock syndrome (other than streptococcal)",
        "2020",
        "nedss",
        "netss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qbrk-85z2/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qbrk-85z2",
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          "accessURL": "https://data.cdc.gov/d/qbrk-85z2",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/qbrk-85z2/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/qbrk-85z2/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qbrk-85z2",
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            "title": "Columns for this asset"
          }
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/qbrk-85z2/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qbrk-85z2",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qbrk-85z2/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qbrk-85z2",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qbrk-85z2/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qbrk-85z2",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1II. Tetanus to Trichinellosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qbrk-85z2",
        "description": "NNDSS - TABLE 1II. Tetanus to Trichinellosis - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NOHSS Child Indicators",
      "description": "Data for School year-end 1994 through year-end 2020.  State oral health surveys are the data sources for these indicators. States periodically conduct independent screening surveys of a probability sample designed to be representative of all third-grade students in the state. Some states also conduct surveys of students in other grades in school, or of Head Start program enrollees. This surveillance activity is voluntary. States submit their data to the Association of State and Territorial Dental Directors (ASTDD), where the survey design and data collected are reviewed for quality and against the criteria for inclusion in NOHSS, before being sent to CDC for inclusion in Oral Health Data. For more information, see: http://www.cdc.gov/oralhealthdata/overview/childIndicators/",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qcai-zfj9",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "Oral Health Inquiries",
          "hasEmail": "mailto:oralhealth@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "nohss",
        "oral health",
        "prevalence",
        "tooth decay",
        "basic screening survey",
        "caries",
        "bss",
        "caries experience",
        "untreated tooth decay",
        "astdd",
        "child",
        "children",
        "dental sealants",
        "division of oral health"
      ],
      "modified": "2026-09-23",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Oral-Health/NOHSS-Child-Indicators/qcai-zfj9"
      },
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/qcai-zfj9/export.csv?accessType=DOWNLOAD",
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          "modified": "2026-09-23"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/qcai-zfj9/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qcai-zfj9",
          "mediaType": "application/json",
          "modified": "2026-09-23",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/qcai-zfj9/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qcai-zfj9",
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            "title": "Columns for this asset"
          }
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        }
      ],
      "landingPage": {
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        "title": "NOHSS Child Indicators - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qcai-zfj9",
        "description": "NOHSS Child Indicators - Dataset Home",
        "issued": "2023-07-19",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/fjjr-gap9",
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      "bureauCode": [
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      "accessRights": "public",
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    },
    {
      "@type": "Dataset",
      "title": "Botswana Combination Prevention Project (BCPP) - Public Release Data",
      "description": "The Botswana Combination Prevention Project (BCPP) was a research project conducted by the Botswana Ministry of Health (MOH), Harvard School of Public Health/Botswana Harvard AIDS Institute Partnership (BHP), and the U.S. Centers for Disease Control and Prevention (CDC). BCPP was a community randomized trial that examined the impact of prevention interventions on HIV incidence in 15 intervention and 15 control communities. The interventions included extensive HIV testing, linkage to care, and universal treatment services. To reduce HIV incidence in the intervention communities, the UNAIDS 90-90-90 goals were used: 90% of HIV-positive persons know their status; 90% of persons who know status are to be on ART; 90% of persons on ART are to be virally suppressed. The BCPP study is composed of 2 interlocking protocols: Evaluation Protocol and Intervention Protocol. The Evaluation Protocol of the BCPP evaluated the primary endpoint (HIV incidence), as well as some key related secondary endpoints. This protocol focused on the Baseline Household Survey; the HIV Incidence Cohort; and an End of Study Survey. The Intervention Protocol of the BCPP implemented the combination prevention (CP) intervention package in CPCs and measures the uptake of these interventions (expanded HIV testing and counselling, strengthened male circumcision, and expanded HIV Care and Treatment).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qcw5-4m9q",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Gene Ussery",
          "hasEmail": "mailto:gua1@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/t9rc-bt5m",
        "@type": "Organization",
        "name": "Gene Ussery"
      },
      "keyword": [
        "bcpp",
        "hiv incidence",
        "hiv testing",
        "randomized control trial",
        "pepfar",
        "botswana",
        "combination hiv prevention",
        "hiv"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/qcw5-4m9q/application/zip",
          "accessURL": "https://data.cdc.gov/d/qcw5-4m9q",
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      ],
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        "@type": "Document",
        "title": "Botswana Combination Prevention Project (BCPP) - Public Release Data - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qcw5-4m9q",
        "description": "Botswana Combination Prevention Project (BCPP) - Public Release Data - Dataset Home",
        "issued": "2021-05-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/t9rc-bt5m",
            "@type": "Organization",
            "name": "Gene Ussery"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "Botswana"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2017-01-01"
        }
      ],
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/qdcb-uzft",
      "identifier": "https://data.cdc.gov/api/views/qdcb-uzft",
      "title": "AH Provisional Diabetes Death Counts for 2020",
      "description": "Provisional death counts of diabetes, coronavirus disease 2019 (COVID-19) and other select causes of death, by month, sex, and age.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Provisional Diabetes Death Counts for 2020",
          "description": "Provisional death counts of diabetes, coronavirus disease 2019 (COVID-19) and other select causes of death, by month, sex, and age. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/qdcb-uzft",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Provisional Diabetes Death Counts for 2020",
        "accessURL": "https://www.cdc.gov/nchs/nvss/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative RSV Vaccination Coverage and Intent, Overall, by Selected Demographics and Jurisdiction, Among Adults 75 and Older and 50-74 Years with High-Risk Conditions Ever Vaccinated, United States",
      "description": "• Weekly Cumulative RSV Vaccination Coverage and Intent Among Adults 75 Years and Older and 50-74 Years with High Risk Conditions Ever Vaccinated with RSV Vaccine by Demographic Characteristics and Jurisdiction \n\n• Weekly estimates of RSV vaccination coverage and intent among adults 75 years and older and 50-74 years with high risk conditions are calculated using data from National Immunization Surveys (NIS) – Fall Respiratory Virus Module (NIS–FRVM). The NIS-FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older.  \n\n• In June 2025, the Advisory Committee on Immunization Practices (ACIP) voted to recommend that adults aged 50–74 years who are at increased risk for severe RSV disease may receive a single dose of an RSV vaccine. In June 2024, the ACIP voted to recommend a single dose of RSV vaccine for all adults 75 years and older. The data below capture ever receiving a dose of an RSV vaccine by adults 50 years and older. \n \n• The NIS-FRVM data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel. This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qeq7-f3ir",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/ktzw-xbup",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "rsv vaccination",
        "vsd",
        "nis-acm",
        "iqvia",
        "iis",
        "cms"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qeq7-f3ir/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qeq7-f3ir",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qeq7-f3ir/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qeq7-f3ir",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qeq7-f3ir/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qeq7-f3ir/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qeq7-f3ir",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qeq7-f3ir/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative RSV Vaccination Coverage and Intent, Overall, by Selected Demographics and Jurisdiction, Among Adults 75 and Older and 50-74 Years with High-Risk Conditions Ever Vaccinated, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qeq7-f3ir",
        "description": "Weekly Cumulative RSV Vaccination Coverage and Intent, Overall, by Selected Demographics and Jurisdiction, Among Adults 75 and Older and 50-74 Years with High-Risk Conditions Ever Vaccinated, United States - Dataset Home",
        "issued": "2026-01-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/ktzw-xbup",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "VEHSS Modeled Estimates",
      "description": "VEHSS Composite Prevalence Estimates\n2019, 2021, 2022, 2024. This dataset contains estimates of the prevalence of visual acuity loss and major eye diseases generated using a Bayesian meta-analytic modeling approach that combines information from multiple data sources to produce comprehensive estimates of prevalence by age, race, and sex at the national, state and county levels. These composite prevalence estimates are the primary surveillance measures developed by the Centers for Disease Control and Prevention’s Vision & Eye Health Surveillance System (VEHSS).  \n\nFor more information about these estimates including summary tables and maps, methods, and links to related publications visit https://www.cdc.gov/visionhealth/vehss/estimates/index.html\nTo view this data in the VEHSS interactive data visualization application, visit https://ddt-vehss.cdc.gov/ and search for “VEHSS Composite Prevalence Estimate”.\n\n\nVisual Acuity Loss:\nVisual acuity loss prevalence estimates represent best-corrected visual acuity in the better-seeing eye and are included in rows where Category=’Measured Visual Acuity’.  Rows with Subgroup = ‘Any vision loss' represents any impairment or blindness of 20/40 or worse; rows with Subgroup = 'US-defined blindness' refers to the subset of vision loss that is 20/200 or worse.\n\n\nAge Related Macular Degeneration:\nThe age-related macular degeneration (AMD) estimates represent AMD as measured with retinal imaging examination, and are included in rows where Category = ‘Age Related Macular Degeneration’.  The Subgroup ‘Vision threatening AMD’ includes patients with geographic atrophy, wet-form AMD, or choroidal neovascularization in either eye. The Subgroup ‘Non-vision threatening AMD’ includes patients with early or intermediate dry-form AMD defined as retinal pigment epithelium abnormalities or drusen ≥125 µm in the worse-affected eye, and do not have vision threatening AMD.\n\n\nDiabetic Retinopathy:\nThe diabetic retinopathy (DR) estimates represent DR as measured with retinal imaging examination, and are included in rows where Category=’Diabetic Eye Diseases’.  The Subgroup ‘Vision threatening DR’ includes patients with severe non-proliferative DR, proliferative DR, and diabetic macular edema. The Subgroup ‘Non-vision threatening DR’ is defined as patients with mild-moderate non-proliferative DR or unspecified DR, and do not have vision threatening DR.\n\n\nGlaucoma:\nThe glaucoma estimates represent glaucoma as measured with retinal imaging examination and are included in rows where Category=’Glaucoma’. The Subgroup ‘Vision affecting glaucoma’ includes people with glaucoma and abnormal visual field. The Subgroup ‘Non-vision affecting glaucoma’ is defined as people with glaucoma without an abnormal visual field.\n\n\nAge Groups:\nThe VEHSS Composite Prevalence Estimates are available by major age groups (All ages, ages 0-17, 18-39, 40-64, 65-84, 85+) and detailed (5-year) age groups, which are indicated by the text “by detailed age groups” in the ‘Indicator’ field. \n\n\nPrevalence Data Type:\nThese estimates are also available as crude (Data_Value_Type = ‘Crude Prevalence’) or adjusted data (Data_Value_Type=’Adjusted Prevalence).  Crude Prevalence is the estimate of the actual number and percentage of people living with each condition.  Adjusted Prevalence estimates are adjusted to match the national population by age, race/ethnicity, and sex.  Adjusted prevalence estimates can be used to help identify disparities in prevalence between geographic areas that are not explained by differences in demographic characteristics.\n\n  \nData Sources:\nData sources for VEHSS Composite Prevalence Estimates include the National Health and Nutrition Examination Survey (NHANES), the American Community Survey (ACS), the National Survey of Children’s Health (NSCH), the Behavioral Risk Factor Surveillance System (BRFSS), Medicare Fee-For-Service claims, the Transformed Medicaid Statistical Information System, MarketScan commercial insurance claim",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qeru-k2y2",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC Info",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "vision",
        "prevalence",
        "visual",
        "blindness",
        "blind"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qeru-k2y2/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qeru-k2y2",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qeru-k2y2/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qeru-k2y2",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qeru-k2y2/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qeru-k2y2/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qeru-k2y2",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qeru-k2y2/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qeru-k2y2/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qeru-k2y2",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qeru-k2y2/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qeru-k2y2",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qeru-k2y2/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qeru-k2y2",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "VEHSS Modeled Estimates - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qeru-k2y2",
        "description": "VEHSS Modeled Estimates - Dataset Home",
        "issued": "2026-08-11",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/qfhf-uhaa",
      "identifier": "https://data.cdc.gov/api/views/qfhf-uhaa",
      "title": "Weekly Counts of Deaths by Jurisdiction, and Race and Hispanic Origin",
      "description": "Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nThis visualization provides weekly data on the number of deaths from all causes by jurisdiction of occurrence and race and Hispanic origin. Numbers of deaths are also shown for all causes excluding COVID-19, and for COVID-19. Counts of deaths in more recent weeks can be compared with counts from earlier years to determine if the number is higher than expected.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Weekly Counts of Deaths by Jurisdiction, and Race and Hispanic Origin",
          "description": "Effective September 27, 2023, this dataset will no longer be updated. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/qfhf-uhaa",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Counts of Deaths by Jurisdiction, and Race and Hispanic Origin",
        "accessURL": "https://www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Differences in Cumulative Percentage of Children Ages 6 Months -17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine, by Selected Demographics",
      "description": "• Weekly COVID-19 vaccination coverage estimates among children 6 months to 17 years is assessed through the National Immunization Survey (https://www.cdc.gov/vaccines/imz-managers/nis/about.html). \n\n• Weekly estimates of COVID-19 vaccination coverage among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-ccm). Beginning January 2, 2024, the NIS-CCM was discontinued, and questions regarding receipt of COVID-19 vaccination among children were added to the NIS-Flu (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-cim). \n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qfiq-jir6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "covid-19 vaccination",
        "nis"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qfiq-jir6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qfiq-jir6",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qfiq-jir6/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qfiq-jir6",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qfiq-jir6/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qfiq-jir6/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qfiq-jir6",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qfiq-jir6/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Differences in Cumulative Percentage of Children Ages 6 Months -17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine, by Selected Demographics - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qfiq-jir6",
        "description": "Weekly Differences in Cumulative Percentage of Children Ages 6 Months -17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine, by Selected Demographics - Dataset Home",
        "issued": "2023-12-11",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2010 (Part 7 of 7)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 8 of 48 and corresponds to the time range between December 13, 2010, and January 3, 2011.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qfk2-janf",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/qfk2-janf/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/qfk2-janf",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2010 (Part 7 of 7) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qfk2-janf",
        "description": "Elk Creek Seismic Waveforms 2010 (Part 7 of 7) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2010 (Part 1 of 7)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 2 of 48 and corresponds to the time range between January 4, 2010, and March 15, 2010.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qg4n-ry9b",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/qg4n-ry9b/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/qg4n-ry9b",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2010 (Part 1 of 7) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qg4n-ry9b",
        "description": "Elk Creek Seismic Waveforms 2010 (Part 1 of 7) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 16 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 43 of 48 and corresponds to the time range between October 29, 2012, and November 5, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qg7e-ktsu",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/qg7e-ktsu/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/qg7e-ktsu",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 16 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qg7e-ktsu",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 16 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Multisystem Inflammatory Syndrome in Children (MIS-C) National Surveillance - (February 2020 - December 2022)",
      "description": "\"This public use dataset includes case-level data from confirmed MIS-C cases with illness onset February 2020 through December 2022 that were reported to CDC’s National MIS-C Surveillance system. Reports are from 55 U.S. jurisdictions (all 50 states plus New York City, Guam, Puerto Rico, US Virgin Islands, and Washington DC). All cases meet the 2020 CDC MIS-C case definition. U.S. jurisdictions voluntarily report potential MIS-C cases to CDC using a standardized case report form. \n\nTo protect patient privacy, location information has been consolidated to census region, illness onset dates have been abbreviated to month-year, and age ranges are provided. The dataset was further deidentified by implementing a k-anonymity threshold of k=3, and suppressing data for Census Region using primary and complementary suppression to protect patient privacy. The following data are included: patient demographics, timing of illness onset, outcomes, organ system involvement, SARS CoV-2 testing, comorbidities, treatment, and COVID-19 vaccination information. “Case definition” organ system involvement is defined according to 2020 CDC MIS-C case definition criteria. “Severe organ involvement” is a subset of case definition organ involvement composed of more severe MIS-C organ manifestations. This definition has been used in several prior publications and is written out in supplemental materials.\"",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qgfq-p8ib",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Severe Illness and Multisystem Inflammatory Syndrome Team",
          "hasEmail": "mailto:misc_info@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fwb6-kmt3",
        "@type": "Organization",
        "name": "Coronavirus and Other Respiratory Viruses Division, Epidemiology Branch, Severe Illness and Multisystem Inflammatory Syndrome Team"
      },
      "keyword": [
        "sars-cov-2",
        "pediatric",
        "multisystem inflammatory syndrome",
        "mis-c",
        "covid-19",
        "children",
        "surveillance"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qgfq-p8ib/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qgfq-p8ib",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qgfq-p8ib/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qgfq-p8ib",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qgfq-p8ib/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qgfq-p8ib/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qgfq-p8ib",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qgfq-p8ib/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Multisystem Inflammatory Syndrome in Children (MIS-C) National Surveillance - (February 2020 - December 2022) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qgfq-p8ib",
        "description": "Multisystem Inflammatory Syndrome in Children (MIS-C) National Surveillance - (February 2020 - December 2022) - Dataset Home",
        "issued": "2025-12-31",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fwb6-kmt3",
            "@type": "Organization",
            "name": "Coronavirus and Other Respiratory Viruses Division, Epidemiology Branch, Severe Illness and Multisystem Inflammatory Syndrome Team"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/qgkx-mswu",
      "identifier": "https://data.cdc.gov/api/views/qgkx-mswu",
      "title": "Loss of Work Due to Illness from COVID-19",
      "description": "The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of loss of work due to illness with coronavirus for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included a question about the inability to work due to being sick or having a family member sick with COVID-19. The National Health Interview Survey, conducted by NCHS, is the source for high-quality data to monitor work-loss days and work limitations in the United States. For example, in 2018, 42.7% of adults aged 18 and over missed at least 1 day of work in the previous year due to illness or injury and 9.3% of adults aged 18 to 69 were limited in their ability to work or unable to work due to physical, mental, or emotional problems. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who did not work for pay at a job or business, at any point, in the previous week because either they or someone in their family was sick with COVID-19. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/work.htm#limitations",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Loss of Work Due to Illness from COVID-19",
          "description": "The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/qgkx-mswu",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Loss of Work Due to Illness from COVID-19",
        "accessURL": "https://www.cdc.gov/nchs/covid19/rands/work.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis",
      "description": "NNDSS - Table 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qisn-zjv7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "giardiasis",
        "undetermined",
        "nndss",
        "nedss",
        "netss",
        "wonder",
        "2019",
        "ehrlichia ewingii infection",
        "ehrlichiosis and anaplasmosis"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qisn-zjv7/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qisn-zjv7",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qisn-zjv7/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qisn-zjv7",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qisn-zjv7/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qisn-zjv7/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qisn-zjv7",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qisn-zjv7/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qisn-zjv7",
        "description": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2011 (Part 16 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 24 of 48 and corresponds to the time range between September 26, 2011, and October 10, 2011.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qjkj-gyc7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/qjkj-gyc7/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/qjkj-gyc7",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 16 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qjkj-gyc7",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 16 of 19) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Daily Census Tract-Level PM2.5 Concentrations, 2011-2015",
      "description": "This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2011-2015. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\n\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\n\nBy using these data, you signify your agreement to comply with the following requirements:\n1. Use the data for statistical reporting and analysis only.\n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.\n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.\n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.\n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.\n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qjxm-7fny",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Craig Kassinger",
          "hasEmail": "mailto:cak8@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/4zyv-yjue",
        "@type": "Organization",
        "name": "cak8@cdc.gov"
      },
      "keyword": [
        "pm2.5",
        "particulate matter",
        "asthma",
        "air pollution",
        "environmental health"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qjxm-7fny/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qjxm-7fny",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qjxm-7fny/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qjxm-7fny",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qjxm-7fny/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qjxm-7fny/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qjxm-7fny",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qjxm-7fny/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Daily Census Tract-Level PM2.5 Concentrations, 2011-2015 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qjxm-7fny",
        "description": "Daily Census Tract-Level PM2.5 Concentrations, 2011-2015 - Dataset Home",
        "issued": "2020-05-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/4zyv-yjue",
            "@type": "Organization",
            "name": "cak8@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "National Health and Aging Trends Study (NHATS) – Vision and Eye Health Surveillance System (VEHSS)",
      "description": "VEHSS analyzed NHATS public use data to calculate the prevalence of visual acuity and contrast sensitivity loss. Data are based on NHATS round 12, which was collected in 2022. We defined subgroup thresholds based on the VEHSS case definitions for Vision Loss and Blindness.\n\nNHATS is a health examination survey conducted on a nationally representative sample of Medicare beneficiaries aged 65 years and older. Surveys are conducted each year through in-person interviews. Vision-related tests of distance acuity, near-distance acuity, and contrast sensitivity are conducted with the aid of a computer tablet. Because participants wear their usual eyewear for vision assessments, acuity estimates are based on presenting acuity. \n\nThese data are also available in the VEHSS Data Explorer, and interactive data visualization tool reporting prevalence information from more than 10 data sources: https://www.cdc.gov/vision-health-data/index.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qktg-6dmb",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC Info",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "vision",
        "visual acuity",
        "medicare",
        "blind",
        "aging"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qktg-6dmb/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qktg-6dmb",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qktg-6dmb/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qktg-6dmb",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qktg-6dmb/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qktg-6dmb/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qktg-6dmb",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qktg-6dmb/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qktg-6dmb/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qktg-6dmb",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qktg-6dmb/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qktg-6dmb",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qktg-6dmb/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qktg-6dmb",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Health and Aging Trends Study (NHATS) – Vision and Eye Health Surveillance System (VEHSS) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qktg-6dmb",
        "description": "National Health and Aging Trends Study (NHATS) – Vision and Eye Health Surveillance System (VEHSS) - Dataset Home",
        "issued": "2025-05-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, ZCTA Data, 2025 release",
      "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey 2019-2023 or 2018–2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at   www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qnzd-25i4",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "behaviors",
        "zip code",
        "zcta",
        "status",
        "social needs",
        "risk",
        "prevention",
        "prevalence",
        "places",
        "outcomes",
        "health",
        "disability",
        "brfss"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2020/qnzd-25i4"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qnzd-25i4/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qnzd-25i4",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qnzd-25i4/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qnzd-25i4",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qnzd-25i4/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qnzd-25i4/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qnzd-25i4",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qnzd-25i4/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qnzd-25i4/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qnzd-25i4",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qnzd-25i4/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qnzd-25i4",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qnzd-25i4/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qnzd-25i4",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Local Data for Better Health, ZCTA Data, 2025 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qnzd-25i4",
        "description": "PLACES: Local Data for Better Health, ZCTA Data, 2025 release - Dataset Home",
        "issued": "2024-08-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis",
      "description": "NNDSS - Table 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qpq4-k3td",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "wonder",
        "2019",
        "ehrlichia ewingii infection",
        "ehrlichiosis and anaplasmosis",
        "giardiasis",
        "nedss",
        "netss",
        "nndss",
        "undetermined"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qpq4-k3td/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qpq4-k3td",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qpq4-k3td/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qpq4-k3td",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qpq4-k3td/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qpq4-k3td/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qpq4-k3td",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qpq4-k3td/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qpq4-k3td",
        "description": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2011 (Part 9 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 17 of 48 and corresponds to the time range between April 4, 2011, and April 18, 2011.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qqyr-vbva",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/qqyr-vbva/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/qqyr-vbva",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 9 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qqyr-vbva",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 9 of 19) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Influenza Vaccination Coverage and Comparison Between 2025–26 and Previous Seasons± by Jurisdiction, Children 6 Months–17 Years, United States",
      "description": "• Weekly Cumulative Influenza Vaccination Coverage and Comparison Between 2025–26 and Previous Seasons by Jurisdiction, Children 6 Months–17, United States. \n\n• Weekly Influenza vaccination coverage and parental intent for vaccination among children is calculated using data from the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html). NIS–Flu is a national random-digit-dialed cellular telephone survey of households with children ages 6 months–17 years conducted during October-June. The respondent to a NIS–Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.\n\n• The NIS-Flu data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qr63-vqq5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "nis-ccm",
        "nis-flu",
        "flu vaccination"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qr63-vqq5/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qr63-vqq5",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qr63-vqq5/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qr63-vqq5",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qr63-vqq5/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qr63-vqq5/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qr63-vqq5",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qr63-vqq5/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Influenza Vaccination Coverage and Comparison Between 2025–26 and Previous Seasons± by Jurisdiction, Children 6 Months–17 Years, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qr63-vqq5",
        "description": "Weekly Cumulative Influenza Vaccination Coverage and Comparison Between 2025–26 and Previous Seasons± by Jurisdiction, Children 6 Months–17 Years, United States - Dataset Home",
        "issued": "2025-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Glove Performance Dermal Absorption of Fentanyl",
      "description": "With the increase in opioid sales on the illicit drug market and overdoses, opioid incidents and exposure risk are concerns for first responders, including law enforcement officers. To prevent dermal, mucosal, or inhalation exposure to opioids and other hazardous drugs, first responders rely on personal protective equipment (PPE) – including respirators and gloves – as their last line of defense within the hierarchy of controls. NIOSH, in response to requests from first responders concerning appropriate glove selection (e.g., glove material, thickness), recommended for minimal and moderate anticipated opioid exposures powder-free nitrile gloves with a minimum thickness of 5 ± 2 mil (i.e., 0.13 ± 0.05 millimeters [mm]). Some glove manufacturers have recently marketed their gloves claiming fentanyl protection. There is limited empirical PPE performance data for opioids, and no industry standard or test method currently exists for evaluating PPE performance against opioids. The purpose of this study was to provide this empirical data under conditions representative of those encountered in the field to support (1) NIOSH’s current opioid PPE recommendations and (2) industry standards and test methods.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qs7e-6i2a",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Research Branch (RB), National Personal Protective Technology Laboratory (NPPTL)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/qs7e-6i2a/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/qs7e-6i2a",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Glove Performance Dermal Absorption of Fentanyl - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qs7e-6i2a",
        "description": "Glove Performance Dermal Absorption of Fentanyl - Dataset Home",
        "issued": "2025-02-20",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1JJ. Tularemia to  Vancomycin-intermediate Staphylococcus aureus",
      "description": "NNDSS - TABLE 1JJ. Tularemia to  Vancomycin-intermediate Staphylococcus aureus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qsk4-8yy5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "tularemia",
        "vancomycin-intermediate staphylococcus aureus",
        "wonder",
        "2019",
        "nedss",
        "netss",
        "nndss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qsk4-8yy5/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qsk4-8yy5",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qsk4-8yy5/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qsk4-8yy5",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qsk4-8yy5/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qsk4-8yy5/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qsk4-8yy5",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qsk4-8yy5/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1JJ. Tularemia to  Vancomycin-intermediate Staphylococcus aureus - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qsk4-8yy5",
        "description": "NNDSS - TABLE 1JJ. Tularemia to  Vancomycin-intermediate Staphylococcus aureus - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Lyme disease public use aggregated data with geography, 2008-2021",
      "description": "Overview:\nPublic health surveillance data are collected and reported voluntarily to CDC by U.S. states and territories through the National Notifiable Diseases Surveillance System (NNDSS) (https://www.cdc.gov/nndss/index.html). Data include demographic, clinical, and geographic information; data do not include direct identifiers. Two types of datasets of human Lyme disease case data collected through public health surveillance are available: one includes annual case count aggregated by county of residence according to specific demographic variables and one is line-listed with patient demographic factors, month of illness onset, and clinical presentation information but without corresponding geographic information. These privacy-protected datasets were implemented in accordance with methodology described in Lee et al. Protecting Privacy and Transforming COVID-19 Case Surveillance Datasets for Public Use. Public Health Rep. 2021 Sep-Oct;136(5):554-561. doi: 10.1177/00333549211026817.\n\nLyme disease became nationally notifiable in 1991. Different surveillance case definitions have been in effect over time; details are available here: https://ndc.services.cdc.gov/conditions/lyme-disease/. In 2008, a probable case definition was included in public health surveillance for the first time. In 2022, states with a high incidence of Lyme disease started reporting cases based on laboratory evidence alone without requirement for a clinical investigation, precluding comparison with historical data (for more information: https://www.cdc.gov/mmwr/volumes/73/wr/mm7306a1.htm?s_cid=mm7306a1_w). As such, Lyme disease surveillance data are grouped into separate datasets based on when these major changes occurred; data are provided for download separately for 1992–2007, 2008–2021, and 2022 to current. Data will be updated annually upon final verification of Lyme disease surveillance data by health departments.\n\nData Limitations:\nSurveillance data have significant limitations that must be considered in the analysis, interpretation, and reporting of results.\n1. Under-reporting and misclassification are features common to all surveillance systems. Not every case of Lyme disease is reported to CDC, and some cases that are reported may be reflect illness due to another cause.\n2. Please note that before the 2022 surveillance case definition went into effect, several states with high Lyme disease incidence had initiated alternative methods of surveillance and those data were not reportable to CDC.\n3. Final case data are subject to each state’s abilities to capture and classify cases, which is dependent upon budget and personnel. This can vary not only between states, but also from year to year within a given state. Consequently, a sudden or marked change in reported cases does not necessarily represent a true change in disease incidence. Every effort should be made to construct analyses to limit overinterpretation of this variation (see the following reference for more context: Kugeler KJ, Eisen RJ. Challenges in Predicting Lyme Disease Risk. JAMA Netw Open. 2020 Mar 2;3(3):e200328. doi: 10.1001/jamanetworkopen.2020.0328.)",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qtbi-xd4i",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Bacterial Diseases Branch Epidemiology & Surveillance Team",
          "hasEmail": "mailto:bdbepigroup@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/w6xk-sxm6",
        "@type": "Organization",
        "name": "xee5@cdc.gov"
      },
      "keyword": [
        "surveillance",
        "lyme disease"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qtbi-xd4i/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qtbi-xd4i",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qtbi-xd4i/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qtbi-xd4i",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qtbi-xd4i/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qtbi-xd4i/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qtbi-xd4i",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qtbi-xd4i/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Lyme disease public use aggregated data with geography, 2008-2021 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qtbi-xd4i",
        "description": "Lyme disease public use aggregated data with geography, 2008-2021 - Dataset Home",
        "issued": "2025-08-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/w6xk-sxm6",
            "@type": "Organization",
            "name": "xee5@cdc.gov"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States of America"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Percentage of Adults 60 Years and Older Vaccinated with Respiratory Syncytial Virus (RSV) Vaccine by Jurisdiction",
      "description": "Weekly RSV Vaccination Coverage of Adults 60 Years and Older by Jurisdiction \n\n• RSV vaccination coverage among adults 60 years and older is assessed through the National Immunization Survey-Adult COVID Module providing weekly RSV vaccination coverage estimates. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html) \n\n• The CDC recommended the RSV vaccine for adults 60 years and older in July 2023. (https://www.cdc.gov/respiratory-viruses/whats-new/rsv-update-2023-09-22.html)",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qve4-fp9c",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "older adults",
        "rsv",
        "vaccination",
        "nis-acm"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qve4-fp9c/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qve4-fp9c",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qve4-fp9c/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qve4-fp9c",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qve4-fp9c/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qve4-fp9c/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qve4-fp9c",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qve4-fp9c/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Percentage of Adults 60 Years and Older Vaccinated with Respiratory Syncytial Virus (RSV) Vaccine by Jurisdiction - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qve4-fp9c",
        "description": "Weekly Cumulative Percentage of Adults 60 Years and Older Vaccinated with Respiratory Syncytial Virus (RSV) Vaccine by Jurisdiction - Dataset Home",
        "issued": "2023-12-08",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome",
      "description": "NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum.\r\n \r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qvvb-s7gu",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nedss",
        "rubella",
        "animal",
        "nndss",
        "rabies",
        "2018",
        "wonder",
        "netss",
        "congenital syndrome"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qvvb-s7gu/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qvvb-s7gu",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qvvb-s7gu/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qvvb-s7gu",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qvvb-s7gu/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qvvb-s7gu/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qvvb-s7gu",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qvvb-s7gu/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qvvb-s7gu",
        "description": "NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome - Dataset Home",
        "issued": "2019-01-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "1998-2024 Serotype Data for Invasive Pneumococcal Disease Cases by Age Group and Site from Active Bacterial Core surveillance",
      "description": "CDC monitors invasive bacterial infections that cause bloodstream infections, sepsis, and meningitis in persons living in the community through Active Bacterial Core surveillance (ABCs). ABCs conducts laboratory- and population-based surveillance for invasive pneumococcal disease (IPD). ABCs serotype data are used to measure the impact of vaccine use in the United States on vaccine-type IPD. \n\nThis table reports IPD case counts in the ABCs catchment area by serotype for years 1998 through 2024. Cases are grouped into the following mutually exclusive age groups: age <2 years old, age 2–4 years old, age 5–17 years old, age 18–49 years old, age 50–64 years old, and age ≥65 years old. Cases are reported by ABCs surveillance site (noted as the 2-letter state abbreviation). Combined data for all ABCs sites are labeled as “All_Sites”.\n\n<a href=\"https://www.cdc.gov/abcs/methodology/index.html\">ABCs methods</a> and <a href=\"https://www.cdc.gov/abcs/about/surv-areas-and-populations.html\">surveillance areas</a> reporting IPD cases have changed over time. Given these changes, trends in serotype distribution by year, age group, and site should be interpreted with caution. Analyze and visualize data using the <a href=\"https://www.cdc.gov/abcs/bact-facts/index.html\">ABCs Bact Facts Interactive Data Dashboard</a>.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qvzb-qs6p",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Active Bacterial Core Surveillance",
          "hasEmail": "mailto:abcs@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/wnru-jmaq",
        "@type": "Organization",
        "name": "Active Bacterial Core Surveillance"
      },
      "keyword": [
        "invasive pneumococcal disease serotypes",
        "abcs",
        "active bacterial core surveillance",
        "bactfacts",
        "streptococcus pneumoniae serotypes",
        "spn serotypes",
        "ipd serotypes",
        "ipd serotype frequencies"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qvzb-qs6p/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qvzb-qs6p",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qvzb-qs6p/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qvzb-qs6p",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qvzb-qs6p/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qvzb-qs6p/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qvzb-qs6p",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qvzb-qs6p/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "1998-2024 Serotype Data for Invasive Pneumococcal Disease Cases by Age Group and Site from Active Bacterial Core surveillance - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qvzb-qs6p",
        "description": "1998-2024 Serotype Data for Invasive Pneumococcal Disease Cases by Age Group and Site from Active Bacterial Core surveillance - Dataset Home",
        "issued": "2025-11-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/wnru-jmaq",
            "@type": "Organization",
            "name": "Active Bacterial Core Surveillance"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1E. Botulism, Foodborne to Botulism, Other",
      "description": "NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qwf3-87ny",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "botulism",
        "2019",
        "foodborne",
        "infant",
        "nedss",
        "netss",
        "nndss",
        "other (wound and unspecified)",
        "wonder"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qwf3-87ny/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qwf3-87ny",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qwf3-87ny/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qwf3-87ny",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qwf3-87ny/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qwf3-87ny/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qwf3-87ny",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qwf3-87ny/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1E. Botulism, Foodborne to Botulism, Other - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qwf3-87ny",
        "description": "NNDSS - TABLE 1E. Botulism, Foodborne to Botulism, Other - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC PRAMStat Data for 2009",
      "description": "2009. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qwpv-wpc8",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DRH Public Inquiries",
          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/uj8q-r4hw",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "sleep behavior",
        "smoke exposure",
        "tobacco use",
        "unintended pregnancy",
        "wic",
        "stress",
        "abuse",
        "alcohol use",
        "breastfeeding",
        "contraception",
        "infant health",
        "medicaid",
        "mental health",
        "morbidity",
        "preconception health",
        "obesity",
        "pregnancy history",
        "prenatal care",
        "reproductive health"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2009/qwpv-wpc8"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qwpv-wpc8/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qwpv-wpc8",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qwpv-wpc8/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qwpv-wpc8",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qwpv-wpc8/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qwpv-wpc8/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qwpv-wpc8",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qwpv-wpc8/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qwpv-wpc8/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qwpv-wpc8",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qwpv-wpc8/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qwpv-wpc8",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qwpv-wpc8/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qwpv-wpc8",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC PRAMStat Data for 2009 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qwpv-wpc8",
        "description": "CDC PRAMStat Data for 2009 - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/uj8q-r4hw",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "U.S. State, Territorial, and County Stay-At-Home Orders: March 15-May 5 by County by Day",
      "description": "State, territorial, and county executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when individuals in states, territories, and counties were subject to executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require or recommend people stay in their homes.\n\nThese data are derived from the publicly available state, territorial, and county executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require or recommend individuals stay at home found by the CDC, COVID-19 Community Intervention and At-Risk Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 15 through May 5, 2020. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. These data do not include mandatory business closures, curfews, or limitations on public or private gatherings. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qz3x-mf9n",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Craig Kassinger",
          "hasEmail": "mailto:cak8@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/4zyv-yjue",
        "@type": "Organization",
        "name": "Environmental Public Health Tracking"
      },
      "keyword": [
        "shelter-in-place",
        "public health order",
        "proclamation",
        "mitigation",
        "legal epidemiology",
        "government order",
        "executive order",
        "covid-19",
        "social distancing",
        "stay-at-home"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qz3x-mf9n/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qz3x-mf9n",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qz3x-mf9n/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qz3x-mf9n",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qz3x-mf9n/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qz3x-mf9n/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qz3x-mf9n",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qz3x-mf9n/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "U.S. State, Territorial, and County Stay-At-Home Orders: March 15-May 5 by County by Day - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qz3x-mf9n",
        "description": "U.S. State, Territorial, and County Stay-At-Home Orders: March 15-May 5 by County by Day - Dataset Home",
        "issued": "2021-02-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/4zyv-yjue",
            "@type": "Organization",
            "name": "Environmental Public Health Tracking"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital",
      "description": "NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qz67-9a9h",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "yellow fever",
        "2019",
        "nedss",
        "netss",
        "nndss",
        "non-congenital",
        "wonder",
        "zika virus disease"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qz67-9a9h/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qz67-9a9h",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qz67-9a9h/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qz67-9a9h",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qz67-9a9h/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qz67-9a9h/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qz67-9a9h",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qz67-9a9h/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qz67-9a9h",
        "description": "NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital - Dataset Home",
        "issued": "2019-04-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Babesiosis to Coccidioidomycosis",
      "description": "NNDSS - Table II. Babesiosis to Coccidioidomycosis - 2014.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting year 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qz8t-eu2e",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "coccidioidomycosis",
        "wonder",
        "nndss",
        "netss",
        "nedss",
        "mmwr",
        "2014",
        "babesiosis",
        "chlamydia trachomatis infection"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qz8t-eu2e/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qz8t-eu2e",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qz8t-eu2e/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qz8t-eu2e",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/qz8t-eu2e/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/qz8t-eu2e/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/qz8t-eu2e",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/qz8t-eu2e/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Babesiosis to Coccidioidomycosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/qz8t-eu2e",
        "description": "NNDSS - Table II. Babesiosis to Coccidioidomycosis - Dataset Home",
        "issued": "2015-01-08",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "National Immunization Survey Adult COVID Module (NIS-ACM): Trends in Behavioral Indicators Among Unvaccinated People",
      "description": "National Immunization Survey-Adult COVID Module (NIS-ACM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. Trends in behavioral indicators represent the percent of unvaccinated people responding to each of the indicators by intent status and by week for the national-level view, and by month for the jurisdiction-level view.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/qz99-wyhv",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "James Singleton",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
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      "inventoried": "2026-09-27"
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    {
      "@type": "Dataset",
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      "description": "Percent positivity of 9 viral pathogens, and enrollment counts of children with ARI by week for the past 12 months (rolling x-axis).",
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        "human metapneumovirus",
        "evd-68",
        "viral detections",
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        "pediatric",
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        "issued": "2024-02-28",
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    },
    {
      "@type": "Dataset",
      "title": "Number of Reported Malaria Cases by County— United States, 2016",
      "description": "This dataset contains deidentified data from the National Malaria Surveillance System on the number of malaria cases reported in the United States in 2016, by county. Only counties reporting five or more cases are included in this dataset.",
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    },
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      "title": "Assessment of Filtration Efficiency, Manikin Fit Performance, and Strap Performance for Decontaminated N95 Filtering Facepiece Respirators",
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      "description": "Provisional counts of deaths by the month the deaths occurred, by age group and race/ethnicity, for select underlying causes of death for 2020-2021. Final data is provided for 2019. The dataset also includes monthly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.",
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      "title": "NNDSS - TABLE 1D. Arboviral diseases, West Nile virus to Babesiosis",
      "description": "NNDSS - Table 1D. Arboviral diseases, neuroinvasive and non-neuroinvasive, West Nile virus disease to Babesiosis - 2019.In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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    },
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      "title": "NNDSS - Table II. West Nile virus disease",
      "description": "NNDSS - Table II. West Nile virus disease - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Updated weekly from reports to the Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases (ArboNET Surveillance). Data for California serogroup, Chikungunya virus, eastern equine, Powassan, St. Louis, and western equine diseases are available in Table I. �� Not reportable in all states. Data from states where the condition is not reportable are excluded from this table, except starting in 2007 for the domestic arboviral diseases, influenza-associated pediatric mortality, and in 2003 for SARS-CoV. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.",
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        "title": "NNDSS - Table II. West Nile virus disease - Dataset Home",
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        "description": "NNDSS - Table II. West Nile virus disease - Dataset Home",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus",
      "description": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as \"viral hemorrhagic fevers'. NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/r8hr-3jkm",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "lassa virus",
        "junin virus",
        "2019",
        "wonder",
        "viral hemorrhagic fevers",
        "nndss",
        "netss",
        "nedss",
        "lujo virus"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/r8hr-3jkm/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/r8hr-3jkm",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/r8hr-3jkm/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/r8hr-3jkm",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/r8hr-3jkm/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/r8hr-3jkm/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/r8hr-3jkm",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/r8hr-3jkm/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/r8hr-3jkm",
        "description": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus - Dataset Home",
        "issued": "2019-04-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/r8kw-7aab",
      "identifier": "https://data.cdc.gov/api/views/r8kw-7aab",
      "title": "Provisional COVID-19 Death Counts by Week Ending Date and State",
      "description": "Effective September 27, 2023, this dataset will be updated weekly on Thursdays.\n\nDeaths involving COVID-19, pneumonia, and influenza reported to NCHS by week ending date and by state",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Provisional COVID-19 Death Counts by Week Ending Date and State",
          "description": "Effective September 27, 2023, this dataset will be updated weekly on Thursdays. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/r8kw-7aab",
          "modified": "2026-07-23"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-23",
      "landingPage": {
        "@type": "Document",
        "title": "Provisional COVID-19 Death Counts by Week Ending Date and State",
        "accessURL": "https://www.cdc.gov/nchs/nvss/vsrr/covid19/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable",
      "description": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\n\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/r9mz-pvtk",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "probable",
        "nndss",
        "netss",
        "nedss",
        "invasive pneumococcal disease",
        "confirmed",
        "all ages",
        "wonder",
        "2020"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/r9mz-pvtk/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/r9mz-pvtk",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/r9mz-pvtk/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/r9mz-pvtk",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/r9mz-pvtk/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/r9mz-pvtk/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/r9mz-pvtk",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/r9mz-pvtk/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/r9mz-pvtk/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/r9mz-pvtk",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/r9mz-pvtk/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/r9mz-pvtk",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/r9mz-pvtk/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/r9mz-pvtk",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/r9mz-pvtk",
        "description": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Feasibility of a Selective Epoxidation Technique for Use in Quantification of Peracetic Acid in Air Samples Collected on Sorbent Tubes-Dataset",
      "description": "The occupational exposure risk to peracetic acid (PAA), a common disinfectant and sterilant use in industrial settings like healthcare facilities and meat processing plants, is typically assessed through collection and analysis of atmospheric workplace samples. In this study, a new personal sampling technique was developed for determining the atmospheric concentration of PAA in the workplace. Samples of humidified air containing peracetic acid (concentration range: 25-2000 ppb) were collected on 350-mg XAD-7 solid sorbent tubes to adsorb the analyte. Peracetic acid was desorbed using anhydrous acetonitrile, after which it was treated with excess cyclohexene to generate the corresponding epoxide via the Prilezhaev reaction. The epoxide product was analyzed and quantified using gas chromatography-mass spectrometry, indirectly determining the amount of peracetic acid in the original air sample. The specificity for peracetic acid over other contaminants was assessed through a series of hydrogen peroxide (HP) and acetic acid (AA) spiking experiments, in which selectivity for PAA was demonstrated at several different concentrations of both HP and AA. The limit-of-detection (LOD) and the limit-of-quantitation (LOQ) for this method was determined to be 60 ppb and 198 ppb, respectively. Unlike many other methods, the sorbent tube negates the need for solvent in the sampling apparatus, adding to its ease of use. These features as well as inexpensive materials and the use of small, wearable vacuum pumps could allow for implementation of easier personal sampling in the workplace.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/r9ns-zmra",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division Exposure Assessment Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/r9ns-zmra/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/r9ns-zmra",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Feasibility of a Selective Epoxidation Technique for Use in Quantification of Peracetic Acid in Air Samples Collected on Sorbent Tubes-Dataset - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/r9ns-zmra",
        "description": "Feasibility of a Selective Epoxidation Technique for Use in Quantification of Peracetic Acid in Air Samples Collected on Sorbent Tubes-Dataset - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/r9nv-zxge",
      "identifier": "https://data.cdc.gov/api/views/r9nv-zxge",
      "title": "Public-Use Linked Mortality Files",
      "description": "NCHS has linked data from various surveys with death certificate records from the National Death Index (NDI). Linkage of the NCHS survey participant data with the NDI mortality data provides the opportunity to conduct a vast array of outcome studies designed to investigate the association of a wide variety of health factors with mortality. The Linked Mortality Files (LMF) have been updated with mortality follow-up data through December 31, 2019.\n\nPublic-use Linked Mortality Files (LMF) are available for 1986-2018 NHIS, 1999-2018 NHANES, and NHANES III. The files include a limited set of mortality variables for adult participants only. The public-use versions of the NCHS Linked Mortality Files were subjected to data perturbation techniques to reduce the risk of participant re-identification. For select records, synthetic data were substituted for follow-up time or underlying cause of death. Information regarding vital status was not perturbed.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "NCHS Data Linkage Program",
        "hasEmail": "mailto:datalinkage@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Public-Use Linked Mortality Files",
          "description": "NCHS has linked data from various surveys with death certificate records from the National Death Index (NDI). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/r9nv-zxge",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "Public-Use Linked Mortality Files",
        "accessURL": "https://www.cdc.gov/nchs/linked-data/mortality-files/index.html"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, Region 4 - Atlanta",
      "description": "Rate of deaths by age/sex (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.\n\nUpdated on April 28, 2025, to comply with the President’s Executive Order 14168.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rb93-4tgj",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "centers for disease control and prevention",
        "cdc"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rb93-4tgj/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rb93-4tgj",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rb93-4tgj/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rb93-4tgj",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rb93-4tgj/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rb93-4tgj/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rb93-4tgj",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rb93-4tgj/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rb93-4tgj/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rb93-4tgj",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rb93-4tgj/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rb93-4tgj",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rb93-4tgj/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rb93-4tgj",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, Region 4 - Atlanta - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rb93-4tgj",
        "description": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, Region 4 - Atlanta - Dataset Home",
        "issued": "2016-10-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Developing a Solution for Nasal and Olfactory Transport of Nanomaterials",
      "description": "Nanotechnology is one of the most rapidly developing areas of the economy and involves the study and control of matter in the nanoscale. The nanoscale is the size range from 1 to 100 nm. Recently, some nanomaterials have demonstrated the ability to enter the brain through the olfactory pathway from the nose to the brain. ⁠This pathway can potentially enable inhaled nanomaterials to enter the brain. Inhalation exposures are technically difficult and expensive. Intranasal instillation is a potential screening tool for evaluating nose to brain transport. However, particles in aqueous media tend to agglomerate and agglomerated particles often act like larger particles in terms of surface area, toxicity, and size thresholds for transport pathways. For neuronal transport within the brain, the upper size limit is estimated to be approximately 100 nm. Therefore, nanomaterials must be adequately dispersed in the vehicle used for instillation in order to evaluate their potential for transport from the nose to the brain.\n\nBecause 100 nm is the upper size limit estimated for transport within the central nervous system, components of dispersion media may need to be different from dispersion media used to evaluate toxicity in other tissues. For example, albumin, a protein which is useful in dispersion media developed for the lung, can interact with nanomaterials and increase their size. In addition, neurons transport sodium out of the cell, suggesting that a dispersion medium to evaluate nose-to-brain transport should avoid high sodium concentrations. To overcome issues with the size of albumin and other proteins as well as the potential effects of sodium and phosphate, we hypothesized that free amino acids, a balanced electrolyte solution, and a mixture of phospholipids could produce a solution that both dispersed nanomaterials and was compatible with neuronal transport. This study describes and characterizes a solution for nasal and olfactory transport (SNOT) that can disperse nanomaterials and dyes with nanoscale dimensions, enabling intranasal instillation so that potential nose-to-brain transport can be evaluated.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rbj6-gv57",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Pathology and Physiology Research Branch (PPRB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/rbj6-gv57/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/rbj6-gv57",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Developing a Solution for Nasal and Olfactory Transport of Nanomaterials - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rbj6-gv57",
        "description": "Developing a Solution for Nasal and Olfactory Transport of Nanomaterials - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1JJ. Tuberculosis to Tularemia",
      "description": "NNDSS - TABLE 1JJ. Tuberculosis to Tularemia – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rbrz-y4zd",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "2021",
        "nndss",
        "nedss",
        "wonder",
        "tularemia",
        "tuberculosis",
        "netss"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rbrz-y4zd/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rbrz-y4zd",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rbrz-y4zd/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rbrz-y4zd",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rbrz-y4zd/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rbrz-y4zd/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rbrz-y4zd",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rbrz-y4zd/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rbrz-y4zd/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rbrz-y4zd",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rbrz-y4zd/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rbrz-y4zd",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rbrz-y4zd/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rbrz-y4zd",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1JJ. Tuberculosis to Tularemia - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rbrz-y4zd",
        "description": "NNDSS - TABLE 1JJ. Tuberculosis to Tularemia - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2010 (Part 6 of 7)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 7 of 48 and corresponds to the time range between December 6, 2010, and December 13, 2010.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rc2q-pdcd",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/rc2q-pdcd/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/rc2q-pdcd",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2010 (Part 6 of 7) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rc2q-pdcd",
        "description": "Elk Creek Seismic Waveforms 2010 (Part 6 of 7) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection)",
      "description": "NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rcdh-n3ej",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "netss",
        "nndss",
        "salmonella paratyphi infection",
        "salmonella typhi infection",
        "salmonellosis (excluding salmonella typhi infection and salmonella paratyphi infection)",
        "wonder",
        "2022",
        "nedss"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rcdh-n3ej/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rcdh-n3ej",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rcdh-n3ej/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rcdh-n3ej",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rcdh-n3ej/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rcdh-n3ej/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rcdh-n3ej",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rcdh-n3ej/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rcdh-n3ej/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rcdh-n3ej",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rcdh-n3ej/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rcdh-n3ej",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rcdh-n3ej/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rcdh-n3ej",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rcdh-n3ej",
        "description": "NNDSS - TABLE 1EE. Salmonella Paratyphi infection to Salmonellosis (excluding Salmonella Typhi infection and Salmonella Paratyphi infection) - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Characterization of a multi-stage focusing nozzle for collection of spot samples for aerosol chemical analysis",
      "description": "Concentrated collection of aerosol particles on a substrate is essential for their chemical analysis using various microscopy and laser spectroscopic techniques. An impaction-based aerosol concentration system was developed for focused collection of particles using a multi-stage nozzle that consists of a succession of multiple smooth converging stages. Converging sections of the nozzle were designed to focus and concentrate a particle diameter range of 900 to 2500 nm into a relatively narrower particle beam to obtain particulate deposits with spot diameters of 0.5-1.56 mm. A slightly diverging section before the last contractions was included to allow for better focusing of particles at the lower end of the collectable diameter range. The characterization of this multi-stage nozzle and the impaction-based aerosol concentration system encompassing the nozzle was accomplished both numerically and experimentally. The numerical and experimental trends in collection efficiency and spot diameters agreed well qualitatively; however, the quantitative agreement between numerical and experimental results for wall losses was poor, particularly for larger particle diameters. The resulting concentrated particulate deposit, a spot sample, was analysed using Raman spectroscopy to probe effect of spot size on analytical sensitivity of measurement. The method’s sensitivity was compared against other conventional techniques, such as filtration and aerosol focused impaction, implementing condensational growth.  Impaction encompassing the multi-stage focusing nozzle is the only method that can ensure high sensitivity at Reynolds numbers greater than 2000, that can be supported by small pumps which renders such method suitable for portable instrumentation.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rdfw-s4u4",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/rdfw-s4u4/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/rdfw-s4u4",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Characterization of a multi-stage focusing nozzle for collection of spot samples for aerosol chemical analysis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rdfw-s4u4",
        "description": "Characterization of a multi-stage focusing nozzle for collection of spot samples for aerosol chemical analysis - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/rdjz-vn2n",
      "identifier": "https://data.cdc.gov/api/views/rdjz-vn2n",
      "title": "DQS Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States from CDC WONDER",
      "description": "Data on drug overdose death rates in the United States, by age, sex, race, Hispanic origin, and drug type. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States from CDC WONDER",
          "description": "Data on drug overdose death rates in the United States, by age, sex, race, Hispanic origin, and drug type. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/rdjz-vn2n",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States from CDC WONDER",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NSSP Emergency Department Visit Trajectories by State and Sub State Regions- COVID-19, Flu, RSV, Combined  ",
      "description": "NSSP Emergency Department (ED) Visit Trajectories by State and Sub-State Regions- COVID-19, Flu, RSV, Combined. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geographic part of the country that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time is characterized as increasing, decreasing or no change, with exceptions for when there are no data available, the data are too sparse, or there are not enough data to compute a trend. These data are to provide awareness of how the weekly trend is changing for the given geographic region.  \n\nNote that the reported sub-state trends are from Health Service Areas (HSA) and the data reported from the health care facilities located within the given HSA. Health Service Areas are regions of one or more counties that align to patterns of care seeking. The HSA level data are reported for each county in the HSA. \n\nMore information on HSAs is available <a href=\"https://seer.cancer.gov/seerstat/variables/countyattribs/hsa.html\"><b>here</b></a>.\n\nFor the emergency department time series, trajectory classifications reported on for sub-state (HSA) emergency department time series, trajectory classifications are based on approximations of the first derivative (slope) of trends that are smoothed using generalized additive models (GAMs). To determine time intervals in which the slope is sufficiently changing (i.e., rate of change distinguishable from 0), 95% confidence intervals for the slope approximations are calculated and assessed. Weeks with a 95% confidence interval not containing 0 are classified as increasing if the slope estimate is positive and decreasing if the slope estimate is negative. Weeks with a 95% confidence interval containing 0 are classified as stable. In the scenario that an HSA's time series is determined to be too sparse (i.e., many weeks with percentages of 0%), a model is not fit, and the HSA is classified as “sparse”.  \n\nFor additional information, please see: <a href=\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\n\nUpdated once per week on Fridays. ",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rdmq-nq56",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Syndromic Surveillance Program",
          "hasEmail": "mailto:nssp@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/g7yu-rfqd",
        "@type": "Organization",
        "name": "VYK7@cdc.gov"
      },
      "keyword": [
        "coronavirus",
        "respiratory syncytial virus",
        "ophdst",
        "nssp",
        "ncird",
        "rvr",
        "rsv",
        "national syndromic surveillance program",
        "influenza",
        "flu",
        "emergency department",
        "ed",
        "covid19"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rdmq-nq56/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rdmq-nq56",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rdmq-nq56/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rdmq-nq56",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rdmq-nq56/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rdmq-nq56/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rdmq-nq56",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rdmq-nq56/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NSSP Emergency Department Visit Trajectories by State and Sub State Regions- COVID-19, Flu, RSV, Combined   - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rdmq-nq56",
        "description": "NSSP Emergency Department Visit Trajectories by State and Sub State Regions- COVID-19, Flu, RSV, Combined   - Dataset Home",
        "issued": "2023-12-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/g7yu-rfqd",
            "@type": "Organization",
            "name": "VYK7@cdc.gov"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "U.S."
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2022-10-01",
          "endDate": "2023-01-27"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:037"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Influenza Vaccination Coverage Map and Comparison Between 2025–26 and 2024–25 by Jurisdiction, Adults 18 Years and Older",
      "description": "• Weekly Influenza Vaccination Coverage Map and Comparison Between 2025-26 and 2024-25 among adults 18 Years and Older by Jurisdiction.\n\n• Weekly estimates of influenza vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Surveys (NIS)-Fall Respiratory Virus Module (NIS-FRVM). The NIS-FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. All estimates are based upon self-reported receipt of vaccination and month of that vaccination.  \n\n• The NIS-FRVM data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel. This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rdng-ki53",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "iqvia",
        "nis-child",
        "vsd",
        "dose distributed",
        "cms",
        "iis-child",
        "iis-adults",
        "nis-acm"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rdng-ki53/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rdng-ki53",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rdng-ki53/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rdng-ki53",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rdng-ki53/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rdng-ki53/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rdng-ki53",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rdng-ki53/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Influenza Vaccination Coverage Map and Comparison Between 2025–26 and 2024–25 by Jurisdiction, Adults 18 Years and Older - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rdng-ki53",
        "description": "Weekly Cumulative Influenza Vaccination Coverage Map and Comparison Between 2025–26 and 2024–25 by Jurisdiction, Adults 18 Years and Older - Dataset Home",
        "issued": "2025-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "In vivo and in vitro toxicity of a stainless-steel aerosol generated during thermal spray coating",
      "description": "Thermal spray coating is an industrial process where molten metal is sprayed onto a surface as a protective coat at high velocity. Using acellular, in vitro, and in vivo models, the toxicity of these aerosols was evaluated. An automated electric arc wire thermal spray coating aerosol generator and inhalation exposure system were developed to simulate an occupational exposure in an experimental model. Using the inhalation system, male Sprague-Dawley rats were exposed to stainless steel PMET720 aerosols at 25 mg/m3 x 4 hr/d x 9 d. Lung injury, inflammation, and cytokine alteration were determined. Resolution of the response was assessed by evaluating these parameters at 1, 7, 14 and 28 days after exposure. The aerosols generated were also collected and characterized. Macrophages were exposed to 0 – 200 µg/ml of the collected particles to determine cytotoxicity and screened for known mechanisms of toxicity. Other metal particles similar in composition and morphology, gas metal arc (GMA-SS) and manual metal arc (MMA-SS) stainless steel, were used as particle controls. The influence of pressure used during the process on the toxicity profile of the generated aerosols also was assessed and found to be minimal. The PMET720 thermal spray coating particles exhibited in vitro cytotoxicity and membrane damage only at the highest dose tested. Electron paramagnetic resonance spectroscopy (EPR) showed the PMET720 particles to have oxidative stress potential and caused a dose-dependent increase in intracellular oxidative stress. There also was a dose-dependent increase in NF-kB/AP-1 activity. Treatment with uptake inhibitors showed that the PMET720 particles were internalized via clathrin- and caveolar-mediated endocytosis as wells as actin-dependent pinocytosis/phagocytosis. In most of the cell assays, the two welding fume control particles generated a greater response compared to the PMET720 particles. In vivo, lung damage, inflammation and alteration in cytokines were observed 1 day after inhalation exposure, and this response returned to air control exposure levels by day 7. Alveolar macrophages retained the particulate even after 28 days after exposure. The results suggest that compared to stainless steel welding fumes, the PMET 720 aerosols were less potent, and the animals recovered from the acute pulmonary toxicity induced after 7 days.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/re9g-kq7w",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Pathology and Physiology Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/re9g-kq7w/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/re9g-kq7w",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "In vivo and in vitro toxicity of a stainless-steel aerosol generated during thermal spray coating - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/re9g-kq7w",
        "description": "In vivo and in vitro toxicity of a stainless-steel aerosol generated during thermal spray coating - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis",
      "description": "NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rezz-ypcg",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "babesiosis",
        "nedss",
        "arboviral diseases",
        "nndss",
        "western equine encephalitis virus disease",
        "wonder",
        "2020",
        "netss"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rezz-ypcg/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rezz-ypcg",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rezz-ypcg/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rezz-ypcg",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rezz-ypcg/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rezz-ypcg/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rezz-ypcg",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rezz-ypcg/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rezz-ypcg/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rezz-ypcg",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rezz-ypcg/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rezz-ypcg",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rezz-ypcg/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rezz-ypcg",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rezz-ypcg",
        "description": "NNDSS - Table 1D. Arboviral diseases, Western equine encephalitis virus disease to Babesiosis - Dataset Home",
        "issued": "2020-01-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Hepatitis (viral, acute)",
      "description": "NNDSS - Table II. Hepatitis (viral, acute) - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rg4j-6mcc",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "2014",
        "mmwr",
        "nedss",
        "netss",
        "wonder",
        "hepatitis (viral acute) type a",
        "nndss",
        "hepatitis (viral acute) type b",
        "hepatitis",
        "hepatitis (viral acute)",
        "hepatitis (viral acute) type c"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rg4j-6mcc/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rg4j-6mcc",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rg4j-6mcc/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rg4j-6mcc",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rg4j-6mcc/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rg4j-6mcc/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rg4j-6mcc",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rg4j-6mcc/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Hepatitis (viral, acute) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rg4j-6mcc",
        "description": "NNDSS - Table II. Hepatitis (viral, acute) - Dataset Home",
        "issued": "2015-01-08",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/rg8a-czmp",
      "identifier": "https://data.cdc.gov/api/views/rg8a-czmp",
      "title": "NCHS - Birth Rates for Women Aged 15-17, 17-18, and 15-19: United States, 1960-2015",
      "description": "This dataset assembles all final birth data for females aged 15–19, 15–17, and 18–19 for the United States.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:births@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Birth Rates for Women Aged 15-17, 17-18, and 15-19: United States, 1960-2015",
          "description": "This dataset assembles all final birth data for females aged 15–19, 15–17, and 18–19 for the United States. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/rg8a-czmp",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Birth Rates for Women Aged 15-17, 17-18, and 15-19: United States, 1960-2015",
        "accessURL": "https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percent positivity of respiratory viruses by nucleic acid amplification tests (NAATs), as reported on the National Respiratory and Enteric Virus Surveillance System (NREVSS) Dashboard",
      "description": "More than 450 public health and clinical laboratories located throughout the United States participate in laboratory-based surveillance through CDC's National Respiratory and Enteric Virus Surveillance System (NREVSS) for respiratory adenovirus, common human coronaviruses (HCOV), human metapneumovirus (HMPV), influenza, parainfluenza viruses (PIV), rhinoviruses/enteroviruses (RV/EV), respiratory syncytial virus (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes COVID-19. The dataset contains aggregate counts of the total tests performed for these viruses and positive detections reported to NREVSS since July 2019. Data from all 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands are included. These data are reported weekly on a voluntary basis. Laboratories do not report demographic data through NREVSS. Testing practices vary, and the number of participating laboratories changes from year to year. All data are provisional and subject to change. Reporting is less complete for the past 1 week, and more complete (>90%) for the period 2 weeks earlier. Data can be updated for up to 2 years after the initial reporting week. Discrepancies may be noted and updated at the discretion of the NREVSS data stewards and key stakeholders.\n\nWhile NREVSS strives to present the most precise estimates of respiratory viral trends with reporting burden minimized for participating laboratories, there are several inherent limitations to this surveillance system. NREVSS does not collect patient-specific demographic information, clinical data, or outcomes (e.g., hospitalization or death). Multiple specimens may be collected from a single patient, so NREVSS results reflect the number of tests performed rather than the number of patients tested.\n\nParticipating laboratories vary in size, testing capabilities, and areas served. Some institutions may receive specimens from sites across a given state or even from multiple states. NREVSS cannot be used to determine the prevalence or incidence of infection. NREVSS counts reflect the latest data reported from participating laboratories and may not match data presented by various jurisdictions.\nThe national and regional NREVSS data described here are available, beginning from July 6, 2019. Data are also visualized on the NREVSS dashboard at the following URL: https://www.cdc.gov/nrevss/php/dashboard/index.html\n\nFor more information on NREVSS and COVID-19 surveillance please visit https://www.cdc.gov/nrevss/php/dashboard/index.html and https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-COVID-19-Nucleic-Acid-Amplif/gvsb-yw6g/about_data. \nThe regional RSV data available at https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-Respiratory-Syncytial-Virus-/3cxc-4k8q/about_data\nrepresent averaged values that CDC calculates from testing reports. These average estimates differ from the raw regional RSV laboratory data displayed on the CDC dashboard. The national RSV data available at  https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-Respiratory-Syncytial-Virus-/3cxc-4k8q/about_data are the same values included in the dashboard.\n\nData for all NREVSS pathogens are reported at the national and HHS regional levels. The prior two years of state level data are shared for RSV and SARS-CoV-2. Data for all influenza clinical laboratories and public health laboratories (the U.S. Influenza collaborating laboratories [ICL]) are shared through the influenza virologic surveillance and are available here: https://www.cdc.gov/fluview/?CDC_AAref_Val=https://www.cdc.gov/flu/weekly/overview.htm. The ten (10) U.S. Department of HHS regions are defined here: https://www.hhs.gov/about/agencies/iea/regional-offices/index.html.\n\nAdenovirus, HCOV, HMPV, PIV, RSV, RV/EV and SARS-COV-2 data include only nucleic acid amplification test (NAAT) results, which include reverse transcription-polymerase chain reaction (RT-PCR) test results",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rgnm-fkqb",
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        {
          "@type": "Kind",
          "fn": "Surveillance and Analytics Team",
          "hasEmail": "mailto:nrevss@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/jrex-gx4n",
        "@type": "Organization",
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      },
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        "sars-cov-2",
        "parainfluenza virus",
        "human metapneumovirus",
        "human coronaviruses",
        "chronic lower respiratory disease",
        "rsv",
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        "adenovirus"
      ],
      "modified": "2026-09-22",
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          "accessURL": "https://data.cdc.gov/d/rgnm-fkqb",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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          "modified": "2026-09-22",
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        "@type": "Document",
        "title": "Percent positivity of respiratory viruses by nucleic acid amplification tests (NAATs), as reported on the National Respiratory and Enteric Virus Surveillance System (NREVSS) Dashboard - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rgnm-fkqb",
        "description": "Percent positivity of respiratory viruses by nucleic acid amplification tests (NAATs), as reported on the National Respiratory and Enteric Virus Surveillance System (NREVSS) Dashboard - Dataset Home",
        "issued": "2025-12-01",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/jrex-gx4n",
            "@type": "Organization",
            "name": "Surveillance and Analytics Team"
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      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "bureauCode": [
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      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Vaccination Trends in the United States,National and Jurisdictional",
      "description": "Overall Trends in Number of COVID-19 Vaccinations in the US at national and jurisdictional levels. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities. ",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rh2h-3yt2",
      "contactPoint": [
        {
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          "fn": "NCIRD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/3suw-ciyu",
        "@type": "Organization",
        "name": "CDC"
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      "keyword": [
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        "report date",
        "vaccination",
        "administration",
        "coronavirus",
        "covid-19",
        "izdl"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/rh2h-3yt2/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rh2h-3yt2",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rh2h-3yt2/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rh2h-3yt2",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rh2h-3yt2/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rh2h-3yt2",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rh2h-3yt2/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19 Vaccination Trends in the United States,National and Jurisdictional - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rh2h-3yt2",
        "description": "COVID-19 Vaccination Trends in the United States,National and Jurisdictional - Dataset Home",
        "issued": "2022-12-01",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/3suw-ciyu",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-12-13",
          "endDate": "2023-05-12"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Hospital Respiratory Data (HRD) Metrics by Jurisdiction, National Healthcare Safety Network (NHSN) (Historical)",
      "description": "This dataset represents weekly hospital respiratory data and metrics aggregated to national and state/territory levels reported to CDC’s National Health Safety Network (NHSN) beginning November 2024. Data and metrics included in this dataset are NOT updated or adjusted week-over-week after initial publication, and therefore represent data received at the time of publication for a given reporting week. All data included in this dataset represent aggregated counts, and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and new hospital admissions with corresponding metrics indicating reporting coverage for a given reporting week. NHSN monitors national and local trends in healthcare system stress and capacity for all acute care and critical access hospitals in the United States. \n \nFor more information on the reporting mandate per the Centers for Medicare and Medicaid Services (CMS) requirements, visit: <a href=\"https://www.cms.gov/medicare/health-safety-standards/quality-safety-oversight-general-information/policy-memos-states/updates-condition-participation-cop-requirements-hospitals-and-critical-access-hospitals-cahs-report\">Updates to the Condition of Participation (CoP) Requirements for Hospitals and Critical Access Hospitals (CAHs) To Report Acute Respiratory Illnesses</a>.\n\nFor more information regarding NHSN’s collection of these data, including full reporting guidance, visit: <a href=\"https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html\">NHSN Hospital Respiratory Data.</a>\n\n<b>Source: CDC National Healthcare Safety Network (NHSN).</b>\n<ul><li><b>Data source description</b>  (updated November 15, 2024): As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or 'COVID-19 hospital data') are reported to HHS through CDC's National Healthcare Safety Network (NHSN) based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data were voluntarily reported to NHSN May 1, 2024 until November 1, 2024, at which time CMS began requiring acute care and critical access hospitals to electronically report information via NHSN about COVID-19, influenza, and RSV, hospital bed census and capacity. Hospital bed capacity and occupancy data for all patients and for patients with COVID-19 or influenza for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting period as specified by the HHS Secretary, and data for collection dates May 1, 2024 – October 31, 2024 represent data reported voluntarily to NHSN. All RSV data through October 31, 2024 represent voluntarily reported data; as such, all voluntarily reported data included in this dataset represent reporting hospitals only for a given week and might not be complete or representative of all hospitals during the specified reporting periods.</li><li>NHSN monitors national and local trends in healthcare system stress and capacity for all acute care and critical access hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about reporting to NHSN: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. </li><li><b>Data quality:</b> While CDC reviews reported data for completeness and errors and corrects those found, some reporting errors might still exist within the data. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks. Data reported as of December 1, 2020 are subject to thorough, routine data quality review procedures, including identifying and excluding invalid values from metric calculations and application of error correction methodology; data prior to this date may have anomalies that are not yet resolved. Data prior to August 1, 2020, are unavailab",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rhwp-grxi",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHQP",
          "hasEmail": "mailto:nhsn@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/8jxp-krex",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "admissions",
        "coronavirus",
        "covid-19",
        "hospital capacity",
        "hospitalizations",
        "hospital occupancy",
        "icu beds",
        "influenza",
        "inpatient beds",
        "respiratory",
        "respiratory syncytial virus",
        "rsv"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/rhwp-grxi/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rhwp-grxi",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
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          "accessURL": "https://data.cdc.gov/d/rhwp-grxi",
          "mediaType": "application/json",
          "modified": "2026-09-23",
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            "accessURL": "https://data.cdc.gov/api/views/rhwp-grxi/columns.json",
            "title": "Columns for this asset"
          }
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          "downloadURL": "https://data.cdc.gov/api/v3/views/rhwp-grxi/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rhwp-grxi",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
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            "accessURL": "https://data.cdc.gov/api/views/rhwp-grxi/columns.xml",
            "title": "Columns for this asset"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Hospital Respiratory Data (HRD) Metrics by Jurisdiction, National Healthcare Safety Network (NHSN) (Historical) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rhwp-grxi",
        "description": "Weekly Hospital Respiratory Data (HRD) Metrics by Jurisdiction, National Healthcare Safety Network (NHSN) (Historical) - Dataset Home",
        "issued": "2026-01-16",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/8jxp-krex",
            "@type": "Organization",
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        "@type": "Location",
        "prefLabel": "US"
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      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1GG. Spotted fever rickettsiosis, Confirmed to Smallpox",
      "description": "NNDSS - TABLE 1GG.  Spotted fever rickettsiosis, Confirmed to Smallpox - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rihk-iawc",
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
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        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nedss",
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        "spotted fever rickettsiosis confirmed",
        "spotted fever rickettsiosis probable",
        "wonder",
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        "nndss",
        "netss"
      ],
      "modified": "2026-09-10",
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          "accessURL": "https://data.cdc.gov/d/rihk-iawc",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1GG. Spotted fever rickettsiosis, Confirmed to Smallpox - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rihk-iawc",
        "description": "NNDSS - TABLE 1GG. Spotted fever rickettsiosis, Confirmed to Smallpox - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "500 Cities: Local Data for Better Health, 2018 release",
      "description": "This is the complete dataset for the 500 Cities project 2018 release. This dataset includes 2016, 2015 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2016, 2015), Census Bureau 2010 census population data, and American Community Survey (ACS) 2012-2016, 2011-2015 estimates. Because some questions are only asked every other year in the BRFSS, there are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) from the 2015 BRFSS that are the same in the 2018 release as the previous 2017 release. More information about the methodology can be found at www.cdc.gov/500cities.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rja3-32tc",
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          "fn": "500 Cities Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
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        "500cities",
        "behaviors",
        "brfss",
        "census",
        "cities",
        "unhealthy",
        "tracts",
        "outcomes"
      ],
      "modified": "2026-09-22",
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          }
        },
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          "accessURL": "https://data.cdc.gov/d/rja3-32tc",
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      "description": "The COVID-19 Claims Reimbursement to Health Care Providers and Facilities for Testing, Treatment, and Vaccine Administration for the Uninsured Program provides reimbursements on a rolling basis directly to eligible health care entities for claims that are attributed to the testing, treatment, and or vaccine administration of COVID-19 for uninsured individuals. The program funding information is as follow:\n\nTESTING\nThe American Rescue Plan Act (ARP) which provided $4.8 billion to reimburse providers for testing the uninsured; the Families First Coronavirus Response Act (FFCRA) Relief Fund, which includes funds received from the Public Health and Social Services Emergency Fund, as appropriated in the FFCRCA (P.L. 116-127) and the Paycheck Protection Program and Health Care Enhancement Act (P.L. 116-139) (PPPHCEA), which each appropriated $1 billion to reimburse health care entities for conducting COVID-19 testing for the uninsured.\n \nTREATMENT & VACCINATION\nThe Provider Relief Fund, which includes funds received from the Public Health and Social Services Emergency Fund, as appropriated in the Coronavirus Aid, Relief, and Economic Security (CARES) Act (P.L. 116-136), provided $100 billion in relief funds. The PPPHCEA appropriated an additional $75 billion in relief funds and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act (P.L. 116-260) appropriated another $3 billion. Within the Provider Relief Fund, a portion of the funding from these sources will be used to support healthcare-related expenses attributable to the treatment of uninsured individuals with COVID-19 and vaccination of uninsured individuals. To learn more about the program, visit: https://www.hrsa.gov/CovidUninsuredClaim\n\nThis dataset represents the list of health care entities who have agreed to the Terms and Conditions and received claims reimbursement for COVID-19 testing of uninsured individuals, vaccine administration and treatment for uninsured individuals with a COVID-19 diagnosis.\n\nFor Provider Relief Fund Data - https://data.cdc.gov/Administrative/HHS-Provider-Relief-Fund/kh8y-3es6",
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    {
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        "accessURL": "https://data.cdc.gov/d/rmzv-dc5f",
        "description": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, All States - Dataset Home",
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      "@type": "Dataset",
      "title": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality",
      "description": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\n§ Please refer to the CDC WONDER publication for weekly updates to the footnote for this condition.\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
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        "description": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - Dataset Home",
        "issued": "2022-01-14",
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    {
      "@type": "Dataset",
      "title": "Adult Tobacco Consumption In The U.S., 2000-Present",
      "description": "2000 to Present. Adult Tobacco Consumption in the U.S. This dataset highlights critical trends in adult total and per capita consumption of both combustible (cigarettes, little cigars, small cigars, pipe tobacco, roll-your-own tobacco) tobacco products and smokeless (chewing tobacco and snuff) tobacco from 2000 to present. To view the CDC MMWR report, please visit https://www.cdc.gov/mmwr/volumes/65/wr/mm6548a1.htm.",
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    },
    {
      "@type": "Dataset",
      "title": "TABLE III. Deaths in 122 U.S. cities",
      "description": "TABLE III. Deaths in 122 U.S. cities – 2016.  122 Cities Mortality Reporting System — Each week, the vital statistics offices of 122 cities across the United States report the total number of death certificates processed and the number of those for which pneumonia or influenza was listed as the underlying or contributing cause of death by age group (Under 28 days, 28 days –1 year, 1-14 years, 15-24 years, 25-44 years, 45-64 years, 65-74 years, 75-84 years, and ≥ 85 years).\r\n\r\nFOOTNOTE:\r\nU: Unavailable. —: No reported cases.\r\n* Mortality data in this table are voluntarily reported from 122 cities in the United States, most of which have populations of 100,000 or more. A death is reported by the place of its occurrence and by the week that the death certificate was filed. Fetal deaths are not included. \r\n\r\n† Pneumonia and influenza. \r\n\r\n§ Total includes unknown ages.",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/rpjd-ejph/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rpjd-ejph",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rpjd-ejph/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rpjd-ejph/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rpjd-ejph",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rpjd-ejph/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "TABLE III. Deaths in 122 U.S. cities - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rpjd-ejph",
        "description": "TABLE III. Deaths in 122 U.S. cities - Dataset Home",
        "issued": "2016-10-06",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Top syndicated pages from CDC.gov by weekly page views",
      "description": "The CDC Content Syndication site at https://tools.cdc.gov/syndication/ allows you to import content from CDC websites directly into your own website or application. These services are provided free of charge from CDC. The data shown in this table represent the weekly top page views from CDC.gov offered by syndication.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rppv-wbiv",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/g3fc-zmqn",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "cdc.gov",
        "page views",
        "syndication",
        "web pages"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rppv-wbiv/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rppv-wbiv",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rppv-wbiv/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rppv-wbiv",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rppv-wbiv/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rppv-wbiv/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rppv-wbiv",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rppv-wbiv/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Top syndicated pages from CDC.gov by weekly page views - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rppv-wbiv",
        "description": "Top syndicated pages from CDC.gov by weekly page views - Dataset Home",
        "issued": "2014-10-16",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/g3fc-zmqn",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
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      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/rpvx-m2md",
      "identifier": "https://data.cdc.gov/api/views/rpvx-m2md",
      "title": "NCHS - Drug Poisoning Mortality by County: United States (rpvx-m2md)",
      "description": "This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning.\n\nDeaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).\n\nEstimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.\n\nDeath rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances.\n\nREFERENCES\n1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm.\n\n2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Drug Poisoning Mortality by County: United States (rpvx-m2md)",
          "description": "This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/rpvx-m2md",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Drug Poisoning Mortality by County: United States (rpvx-m2md)",
        "accessURL": "https://www.cdc.gov/nchs/data-visualization/drug-poisoning-mortality/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Yearly Pollen Season Timing and Concentrations for Select United States Cities, 2003-2024",
      "description": "The National Allergy Bureau™ (NAB™) commonly provides grouped pollen levels rather than taxa-specific data. In this dataset, however, pollen data are provided as yearly pollen season timing and concentrations using data from the NAB. This is the first time pollen data at this level of detail has been made publicly available. Grass pollen metrics were excluded from selected products to align with NAB and CDC data-sharing policies.\n\nPollen concentrations are reported as pollen grains per cubic meter (PPCM) and provided for each year of data available. The pollen data are available from 2003 through 2024 and includes ready-to-use pollen measures including: main pollen season (MPS) start date, peak date, end date, season length, total seasonal pollen concentration (i.e., seasonal pollen integral), average seasonal pollen concentration, peak concentration, and the number of pollen observations per year. Data availability varies by year and pollen type for each NAB site. This dataset is part of a series of pollen datasets from the NAB, processed and standardized by the Division of Environmental Health Science and Practice (DEHSP), National Center for Environmental Health (NCEH), CDC. Further details about the pollen data, including collection, counting, and calculations, can be found here: https://www.mdpi.com/3954654",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rq2k-zaqh",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Arie Manangan",
          "hasEmail": "mailto:climateandhealth@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/k59p-qqrp",
        "@type": "Organization",
        "name": "Arie Manangan"
      },
      "keyword": [
        "tree pollen",
        "allergen exposure",
        "air quality",
        "weed pollen",
        "aeroallergens",
        "allergic rhinitis",
        "allergy",
        "allergy season",
        "pollen count",
        "pollen concentrations",
        "pollen",
        "high pollen days",
        "hayfever",
        "environmental health",
        "respiratory health",
        "asthma triggers",
        "seasonal allergies"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rq2k-zaqh/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rq2k-zaqh",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rq2k-zaqh/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rq2k-zaqh",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rq2k-zaqh/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rq2k-zaqh/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rq2k-zaqh",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rq2k-zaqh/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Yearly Pollen Season Timing and Concentrations for Select United States Cities, 2003-2024 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rq2k-zaqh",
        "description": "Yearly Pollen Season Timing and Concentrations for Select United States Cities, 2003-2024 - Dataset Home",
        "issued": "2026-09-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/k59p-qqrp",
            "@type": "Organization",
            "name": "Arie Manangan"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Monthly Page Views to CDC.gov",
      "description": "For more information on CDC.gov metrics please see http://www.cdc.gov/metrics/",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rq85-buyi",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/g3fc-zmqn",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "web metrics",
        "cdc.gov"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rq85-buyi/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rq85-buyi",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rq85-buyi/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rq85-buyi",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rq85-buyi/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rq85-buyi/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rq85-buyi",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rq85-buyi/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Monthly Page Views to CDC.gov - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rq85-buyi",
        "description": "Monthly Page Views to CDC.gov - Dataset Home",
        "issued": "2018-10-02",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/g3fc-zmqn",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, All States",
      "description": "Rate of deaths by age/sex (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.\n\nUpdated on April 28, 2025, to comply with the President’s Executive Order 14168.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rqg5-mkef",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "death rate",
        "motor vehicle"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rqg5-mkef/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rqg5-mkef",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rqg5-mkef/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rqg5-mkef",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rqg5-mkef/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rqg5-mkef/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rqg5-mkef",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rqg5-mkef/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rqg5-mkef/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rqg5-mkef",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rqg5-mkef/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rqg5-mkef",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rqg5-mkef/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rqg5-mkef",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, All States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rqg5-mkef",
        "description": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014, All States - Dataset Home",
        "issued": "2016-10-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Cardiovascular Disease Death Rates, Trends, and Excess Death Rates Among US Adults (35+) by County and Age Group – 2010-2020",
      "description": "This dataset documents cardiovascular disease (CVD) death rates, relative and absolute excess death rates, and trends. Specifically, this report presents county (or county equivalent) estimates of CVD death rates in 2000-2020, trends during 2010-2019, and relative and absolute excess death rates in 2020 by age group (ages 35–64 years, ages 65 years and older). All estimates were generated using a Bayesian spatiotemporal model and a smoothed over space, time, and 10-year age groups. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rsk5-566a",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Adam Vaughan",
          "hasEmail": "mailto:avaughan@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/a7ta-3b7u",
        "@type": "Organization",
        "name": "DHDSP Small Area Analysis Team"
      },
      "keyword": [
        "cardiovascular disease",
        "cardiovascular",
        "counties",
        "county",
        "heart"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rsk5-566a/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rsk5-566a",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rsk5-566a/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rsk5-566a",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rsk5-566a/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rsk5-566a/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rsk5-566a",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rsk5-566a/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Cardiovascular Disease Death Rates, Trends, and Excess Death Rates Among US Adults (35+) by County and Age Group – 2010-2020 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rsk5-566a",
        "description": "Cardiovascular Disease Death Rates, Trends, and Excess Death Rates Among US Adults (35+) by County and Age Group – 2010-2020 - Dataset Home",
        "issued": "2024-06-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/a7ta-3b7u",
            "@type": "Organization",
            "name": "DHDSP Small Area Analysis Team"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:029"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital",
      "description": "NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rsk8-spa7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nedss",
        "zika virus disease",
        "yellow fever",
        "wonder",
        "non-congenital",
        "nndss",
        "netss",
        "2021"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rsk8-spa7/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rsk8-spa7",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rsk8-spa7/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rsk8-spa7",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rsk8-spa7/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rsk8-spa7/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rsk8-spa7",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rsk8-spa7/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rsk8-spa7/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rsk8-spa7",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rsk8-spa7/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rsk8-spa7",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rsk8-spa7/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rsk8-spa7",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rsk8-spa7",
        "description": "NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity",
      "description": "NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rtjs-ain8",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nndss",
        "wonder",
        "varicella morbidity",
        "vancomycin-resistant staphylococcus aureus",
        "vancomycin-intermediate staphylococcus aureus",
        "netss",
        "nedss",
        "2021"
      ],
      "modified": "2026-09-11",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rtjs-ain8/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rtjs-ain8",
          "mediaType": "text/csv",
          "modified": "2026-09-11"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rtjs-ain8/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rtjs-ain8",
          "mediaType": "application/json",
          "modified": "2026-09-11",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rtjs-ain8/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rtjs-ain8/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rtjs-ain8",
          "mediaType": "application/xml",
          "modified": "2026-09-11",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rtjs-ain8/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rtjs-ain8/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rtjs-ain8",
          "mediaType": "application/geo+json",
          "modified": "2026-09-11"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rtjs-ain8/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rtjs-ain8",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-11"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rtjs-ain8/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rtjs-ain8",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-11"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rtjs-ain8",
        "description": "NNDSS - TABLE 1KK. Vancomycin-intermediate Staphylococcus aureus to Varicella morbidity - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Prevalence of Pneumoconiosis and its Relationship to Dust Exposure in a Cohort of U.S. Bituminous Coal Miners and ex-Miners",
      "description": "Information on radiographic evidence of coal workers’ pneumoconiosis (CWP) is presented for a group of 3,194 underground bituminous coal miners and ex-miners examined between 1985 and 1988. Prevalence of CWP was related to estimated cumulative dust exposure, age, and rank of coal. On the basis of these data, miners of medium to low rank coal, who work for 40 years at the current federal dust limit of 2 mg/m3, are predicted to have a 1.4% risk of having progressive massive fibrosis on retirement. Higher prevalences are predicted for less severe categories of CWP. Miners in high rank coal areas appear to be at greater risk than those mining medium and low rank coals. Ex-miners who said that they left mining for health-related reasons had higher levels of abnormality compared to current miners.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rv55-x8ff",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Physical Effects Research Branch (PERB), National Institute for Occupational Safety and Health (NIOSH) Health Effects Laboratory Division (HELD),",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/rv55-x8ff/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/rv55-x8ff",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Prevalence of Pneumoconiosis and its Relationship to Dust Exposure in a Cohort of U.S. Bituminous Coal Miners and ex-Miners - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rv55-x8ff",
        "description": "Prevalence of Pneumoconiosis and its Relationship to Dust Exposure in a Cohort of U.S. Bituminous Coal Miners and ex-Miners - Dataset Home",
        "issued": "2024-11-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable",
      "description": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rwap-xbst",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "probable",
        "all ages",
        "invasive pneumococcal disease",
        "nedss",
        "nndss",
        "confirmed",
        "netss",
        "2019",
        "wonder"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rwap-xbst/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rwap-xbst",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rwap-xbst/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rwap-xbst",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rwap-xbst/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rwap-xbst/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rwap-xbst",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rwap-xbst/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rwap-xbst",
        "description": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. West Nile to Zika",
      "description": "NNDSS - Table II. West Nile to Zika  - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  \r\n\r\n† Not reportable in all jurisdictions. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/rxmp-xjpc",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "non-congenital",
        "nndss",
        "west nile virus disease",
        "wonder",
        "zika virus disease",
        "netss",
        "nedss",
        "2018"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rxmp-xjpc/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rxmp-xjpc",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rxmp-xjpc/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rxmp-xjpc",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rxmp-xjpc/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/rxmp-xjpc/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/rxmp-xjpc",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/rxmp-xjpc/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. West Nile to Zika - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/rxmp-xjpc",
        "description": "NNDSS - Table II. West Nile to Zika - Dataset Home",
        "issued": "2019-01-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "@id": "https://data.cdc.gov/api/views/s54h-bixi",
      "identifier": "https://data.cdc.gov/api/views/s54h-bixi",
      "title": "NCHS - Natality Measures for Females by Hispanic Origin Subgroup: United States",
      "description": "This dataset includes live births, birth rates, and fertility rates by Hispanic origin of mother in the United States since 1989.\n\nNational data on births by Hispanic origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; New Hampshire and Oklahoma in 1990; and New Hampshire in 1991 and 1992. Birth and fertility rates for the Central and South American population includes other and unknown Hispanic. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf).",
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          "title": "NCHS - Natality Measures for Females by Hispanic Origin Subgroup: United States",
          "description": "This dataset includes live births, birth rates, and fertility rates by Hispanic origin of mother in the United States since 1989. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
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          "modified": "2025-04-21"
        }
      ],
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      "modified": "2025-04-21",
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        "accessURL": "https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/s57w-7gbe",
      "identifier": "https://data.cdc.gov/api/views/s57w-7gbe",
      "title": "DQS National health spending: United States",
      "description": "Data on national health spending in the United States, by type of spending and gross domestic product. Data are from Health, United States. SOURCE: Centers for Medicare & Medicaid Services, Office of the Actuary, National Health Statistics Group, National Health Expenditure Accounts. Search, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
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        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
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        "name": "National Center for Health Statistics (NCHS)",
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      },
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          "accessURL": "https://data.cdc.gov/api/views/s57w-7gbe",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
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      ],
      "modified": "2026-07-15",
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        "@type": "Document",
        "title": "DQS National health spending: United States",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "National Immunization Survey Child COVID Module (NIS-CCM): COVIDVaxViews| Data | Centers for Disease Control and Prevention (cdc.gov)",
      "description": "National Immunization Survey Child COVID Module (NIS-CCM): CDC is providing information on COVID-19 vaccine uptake and confidence. These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.",
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          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
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        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
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        "covid-19 vaccination",
        "covid-19",
        "immunization",
        "nis-ccm",
        "vaccination",
        "vaccination coverage",
        "vaccine confidence",
        "vaxviews"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/s5a6-fn5p/export.csv?accessType=DOWNLOAD",
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        },
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          "modified": "2026-09-10",
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        "@type": "Document",
        "title": "National Immunization Survey Child COVID Module (NIS-CCM): COVIDVaxViews| Data | Centers for Disease Control and Prevention (cdc.gov) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/s5a6-fn5p",
        "description": "National Immunization Survey Child COVID Module (NIS-CCM): COVIDVaxViews| Data | Centers for Disease Control and Prevention (cdc.gov) - Dataset Home",
        "issued": "2024-01-16",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "National"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Babesiosis to Campylobacteriosis",
      "description": "NNDSS - Table II. Babesiosis to Campylobacteriosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/s5s8-d82d",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "netss",
        "nedss",
        "mmwr",
        "campylobacteriosis",
        "babesiosis",
        "2015",
        "wonder",
        "nndss"
      ],
      "modified": "2026-09-10",
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          "modified": "2026-09-10",
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          }
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            "title": "Columns for this asset"
          }
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Babesiosis to Campylobacteriosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/s5s8-d82d",
        "description": "NNDSS - Table II. Babesiosis to Campylobacteriosis - Dataset Home",
        "issued": "2016-01-07",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2017-2019",
      "description": "2017 to 2019, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/s6p7-fvbw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHDSP Requests",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/a7ta-3b7u",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "heart",
        "cardiovascular",
        "cardiovascular disease",
        "heart disease",
        "county",
        "counties"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/s6p7-fvbw/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/s6p7-fvbw",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/s6p7-fvbw/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/s6p7-fvbw",
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          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
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          "accessURL": "https://data.cdc.gov/d/s6p7-fvbw",
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          "modified": "2026-09-22",
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      ],
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        "@type": "Document",
        "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2017-2019 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/s6p7-fvbw",
        "description": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2017-2019 - Dataset Home",
        "issued": "2021-05-14",
        "publisher": [
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, ZCTA Data 2021 release",
      "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/s85h-9xpy",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "places",
        "behaviors",
        "brfss",
        "health",
        "outcomes",
        "prevalence",
        "prevention",
        "risk",
        "status",
        "zcta",
        "zip code"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2020/qnzd-25i4"
      },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/s85h-9xpy/export.csv?accessType=DOWNLOAD",
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          "accessURL": "https://data.cdc.gov/d/s85h-9xpy",
          "mediaType": "application/json",
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            "title": "Columns for this asset"
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          "accessURL": "https://data.cdc.gov/d/s85h-9xpy",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/s85h-9xpy/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/s85h-9xpy",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/s85h-9xpy/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/s85h-9xpy",
          "mediaType": "application/vnd.google-earth.kmz",
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        }
      ],
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        "@type": "Document",
        "title": "PLACES: Local Data for Better Health, ZCTA Data 2021 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/s85h-9xpy",
        "description": "PLACES: Local Data for Better Health, ZCTA Data 2021 release - Dataset Home",
        "issued": "2022-10-11",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
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      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), All States, 2012 & 2014",
      "description": "Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012 & 2014.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/s9bp-7k3m",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
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      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "cdc",
        "centers for disease control and prevention"
      ],
      "modified": "2026-09-10",
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        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/s9bp-7k3m/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/s9bp-7k3m",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/s9bp-7k3m/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/s9bp-7k3m",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), All States, 2012 & 2014 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/s9bp-7k3m",
        "description": "Percentage of Adults Who Report Driving After Drinking Too Much (in the past 30 days), All States, 2012 & 2014 - Dataset Home",
        "issued": "2016-09-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/s9qn-46pq",
      "identifier": "https://data.cdc.gov/api/views/s9qn-46pq",
      "title": "AH Provisional COVID-19 Deaths By Race, Age, and Sex from 3/1/2020 to 7/31/2020",
      "description": "Provisional counts of deaths in the United States by age group, sex, and race/ethnicity, from March-July 2020. The dataset includes cumulative provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Provisional COVID-19 Deaths By Race, Age, and Sex from 3/1/2020 to 7/31/2020",
          "description": "Provisional counts of deaths in the United States by age group, sex, and race/ethnicity, from March-July 2020. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/s9qn-46pq",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Provisional COVID-19 Deaths By Race, Age, and Sex from 3/1/2020 to 7/31/2020",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Reductions in exposures to simulated respiratory aerosols by a ceiling-mounted HEPA air filtration unit",
      "description": "Supplemental air filtration can reduce indoor exposure to hazardous aerosols without requiring modifications to building heating, ventilation, and air conditioning (HVAC) systems. Portable air cleaners were widely used during the COVID-19 pandemic, but they can have drawbacks including noise, space obstruction, and electrical cord safety considerations. Built-in air filtration units are an alternative to provide supplemental air filtration. We conducted a case study of a HEPA air filtration unit installed in the ceiling of a conference room using radial laminar flow or square cone ceiling air supply diffusers. A respiratory aerosol simulator exhaled aerosol particles (0.3 to 10 µm), and the particle concentrations were measured in the personal breathing zones of three breathing simulators representing a speaker and two meeting participants. For the speaker, using one square cone supply diffuser reduced inhalation exposure by 49% to 81% while using two square supply diffusers reduced exposure by 68% to 93%. For the participants, the exposures were reduced by 23% to 64% with one square supply diffuser and 58% to 86% with two square supply diffusers. Results when using the radial supply air diffusers were more variable and more dependent on the simulator layouts. Combining the use of cloth face masks on all simulators with the ceiling unit reduced the speaker’s exposure by 87% to 99% and the participants’ exposures by 84% to 97%. In most cases the ceiling air filtration unit provided protection against simulated respiratory aerosol particles comparable to that seen previously with portable air cleaners.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/saug-ip58",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Allergy and Clinical Immunology Branch (ACIB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/saug-ip58/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/saug-ip58",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Reductions in exposures to simulated respiratory aerosols by a ceiling-mounted HEPA air filtration unit - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/saug-ip58",
        "description": "Reductions in exposures to simulated respiratory aerosols by a ceiling-mounted HEPA air filtration unit - Dataset Home",
        "issued": "2025-04-02",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Vaccine Distribution Allocations by Jurisdiction - Pfizer",
      "description": "New weekly allocations of doses are posted every Tuesday.  Beginning the following Thursday, states can begin ordering doses from that week’s new allocation of 1st doses.  Beginning two weeks (Pfizer) or three weeks (Moderna) from the following Sunday, states can begin ordering doses from that week’s new allocation of 2nd doses. After doses are ordered by states, shipments begin the following Monday. The entire order may not arrive in one shipment or on one day, but over the course of the week.\n\nSecond doses are opened up for orders on Sundays, at the appropriate interval two or three weeks later according to the manufacturer’s label, with shipments occurring after jurisdictions place orders. \n\nShipments of an FDA-authorized safe and effective COVID-19 vaccine continue to arrive at sites across America. Vaccinations began on December 14, 2020. \n\nhttps://www.hhs.gov/coronavirus/covid-19-vaccines/index.html\n\nModerna Vaccine Data - https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws\n\nJanssen Vaccine Data - https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/w9zu-fywh",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/saz5-9hgg",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ASPA Media",
          "hasEmail": "mailto:media@hhs.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/tjyw-xtku",
        "@type": "Organization",
        "name": "HHS ASPA"
      },
      "keyword": [
        "coronavirus",
        "vaccination",
        "covid-19"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/saz5-9hgg/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/saz5-9hgg",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/saz5-9hgg/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/saz5-9hgg",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/saz5-9hgg/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/saz5-9hgg/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/saz5-9hgg",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/saz5-9hgg/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19 Vaccine Distribution Allocations by Jurisdiction - Pfizer - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/saz5-9hgg",
        "description": "COVID-19 Vaccine Distribution Allocations by Jurisdiction - Pfizer - Dataset Home",
        "issued": "2021-02-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/tjyw-xtku",
            "@type": "Organization",
            "name": "HHS ASPA"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Monthly Cumulative Number and Percent of Adults 60 Years and Older Who Received at least one RSV Vaccination Doses by Jurisdiction, United States",
      "description": "Monthly Cumulative Number and Percent of Adults 60 Years and Older Who Received at least one RSV Vaccination Doses by Jurisdiction\n\n• Estimated Respiratory Syncytial Virus (RSV) vaccination coverage for adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group.\n\n • Starting in July 2023, the CDC recommended the RSV vaccine to protect against serious illness from RSV. (https://www.cdc.gov/respiratory-viruses/whats-new/rsv-update-2023-09-22.html)\n ",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/scrf-8d7w",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "iis",
        "rsv vaccination",
        "immunization information system"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/scrf-8d7w/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/scrf-8d7w",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/scrf-8d7w/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/scrf-8d7w",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/scrf-8d7w/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/scrf-8d7w/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/scrf-8d7w",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/scrf-8d7w/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Monthly Cumulative Number and Percent of Adults 60 Years and Older Who Received at least one RSV Vaccination Doses by Jurisdiction, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/scrf-8d7w",
        "description": "Monthly Cumulative Number and Percent of Adults 60 Years and Older Who Received at least one RSV Vaccination Doses by Jurisdiction, United States - Dataset Home",
        "issued": "2024-02-09",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "Jurisdictions - States, District of Columbia, Islands, and US cities"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome",
      "description": "NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/scxv-4u4u",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "animal",
        "mmwr",
        "wonder",
        "nedss",
        "rubella",
        "nndss",
        "netss",
        "2017",
        "rabies",
        "congenital syndrome"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/scxv-4u4u/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/scxv-4u4u",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/scxv-4u4u/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/scxv-4u4u",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/scxv-4u4u/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/scxv-4u4u/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/scxv-4u4u",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/scxv-4u4u/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/scxv-4u4u",
        "description": "NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome - Dataset Home",
        "issued": "2018-01-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. West Nile virus disease",
      "description": "NNDSS - Table II. West Nile virus disease - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. \r\n\r\n* Case counts for reporting year 2016 are provisional and subject to change.   For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table II to facilitate case count verification with reporting jurisdictions. \r\n§ Updated weekly from the Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases (ArboNET Surveillance).  Data for Jamestown Canyon virus, La Crosse virus, Chikungunya virus, Eastern equine encephalitis virus, Powassan virus, St. Louis virus, and Western equine encephalitis virus diseases are available in Table I. \r\n¶ Not reportable in all states. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/downloads.html.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/sd5c-m3g5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "2016",
        "netss",
        "wonder",
        "mmwr",
        "nedss",
        "west nile virus",
        "nndss"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/sd5c-m3g5/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/sd5c-m3g5",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/sd5c-m3g5/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/sd5c-m3g5",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/sd5c-m3g5/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/sd5c-m3g5/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/sd5c-m3g5",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/sd5c-m3g5/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. West Nile virus disease - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/sd5c-m3g5",
        "description": "NNDSS - Table II. West Nile virus disease - Dataset Home",
        "issued": "2017-01-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Local Data for Better Health, Place Data 2024 release",
      "description": "This dataset contains model-based place (incorporated and census-designated places) estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.",
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      "modified": "2026-09-23",
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        "accessURL": "https://data.cdc.gov/d/sd8v-uq83",
        "description": "PLACES: Local Data for Better Health, Place Data 2024 release - Dataset Home",
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    },
    {
      "@type": "Dataset",
      "title": "Electronic Health Information Legal Epidemiology Protocol 2014",
      "description": "Authors: Cason Schmit, JD, Gregory Sunshine, JD, Dawn Pepin, JD, MPH, Tara Ramanathan, JD, MPH, Akshara Menon, JD, MPH, Matthew Penn, JD, MLIS\r\nThe Health Information Technology for Economic and Clinical Health Act, adopted in 2009, accelerated adoption of electronic health record systems among health care providers. Many state statutes and regulations authorize and define the use of electronic health information (EHI). Practitioners often criticize these laws as complex and contradictory and point to them as barriers to using EHI. Attorney researchers used WestlawNext to search for EHI-related statutes and regulations of the US states, US\r\nterritories, and the District of Columbia in effect as of January 2014. The researchers independently catalogued provisions by the EHI use described in the law. This research protocol accompanies the data set, Electronic Health Information Legal Epidemiology Data Set 2014.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/sesw-5ehn",
      "contactPoint": [
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          "hasEmail": "mailto:hzo2@cdc.gov"
        }
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      ],
      "modified": "2026-09-10",
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        "ncird",
        "influenza"
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            "title": "Columns for this asset"
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        "title": "Percent of Tests Positive for Viral Respiratory Pathogens - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/seuz-s2cv",
        "description": "Percent of Tests Positive for Viral Respiratory Pathogens - Dataset Home",
        "issued": "2023-11-08",
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      "inventoried": "2026-09-27"
    },
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      "@id": "https://data.cdc.gov/api/views/sf7h-sajc",
      "identifier": "https://data.cdc.gov/api/views/sf7h-sajc",
      "title": "AH Cumulative Provisional Death Counts by Sex, Race, and Age from 1/1/2020 to 7/4/2020",
      "description": "Cumulative provisional counts of deaths sex, race/Hispanic origin, age group, and by select underlying causes of death. The dataset also includes provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death. Includes deaths that occurred between January 1, 2020 to July 4, 2020.",
      "contactPoint": {
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        "fn": "National Center for Health Statistics",
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      },
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        "name": "National Center for Health Statistics (NCHS)",
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          "title": "AH Cumulative Provisional Death Counts by Sex, Race, and Age from 1/1/2020 to 7/4/2020",
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          "accessURL": "https://data.cdc.gov/api/views/sf7h-sajc",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
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      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Cumulative Provisional Death Counts by Sex, Race, and Age from 1/1/2020 to 7/4/2020",
        "accessURL": "https://www.cdc.gov/nchs/nvss/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC STATE System E-Cigarette Legislation Glossary and Methodology",
      "description": "Download the latest version of the Glossary and Methodology File",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/sfei-pddr",
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        "@type": "Document",
        "title": "CDC STATE System E-Cigarette Legislation Glossary and Methodology - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/sfei-pddr",
        "description": "CDC STATE System E-Cigarette Legislation Glossary and Methodology - Dataset Home",
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      "title": "NAAG Tobacco Settlement Payments Glossary and Methodology",
      "description": "Download the latest version of the Glossary and Methodology File",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/sgg4-hiwe",
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        "glossary"
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      "modified": "2026-09-22",
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          "downloadURL": "https://data.cdc.gov/download/sgg4-hiwe/application/vnd.ms-excel",
          "accessURL": "https://data.cdc.gov/d/sgg4-hiwe",
          "mediaType": "application/vnd.ms-excel",
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "NAAG Tobacco Settlement Payments Glossary and Methodology - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/sgg4-hiwe",
        "description": "NAAG Tobacco Settlement Payments Glossary and Methodology - Dataset Home",
        "issued": "2015-01-23",
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      "accessRights": "public",
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    },
    {
      "@type": "Dataset",
      "title": "PLACES: Census Tract Data (GIS Friendly Format), 2022 release",
      "description": "This dataset contains model-based census tract level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 29 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
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      "identifier": "https://data.cdc.gov/api/views/shc3-fzig",
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      },
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        "description": "PLACES: Census Tract Data (GIS Friendly Format), 2022 release - Dataset Home",
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    {
      "@type": "Dataset",
      "title": "Circular RNA hsa_circ_0099188 Regulates Inducible Nitric Oxide Synthase and Chemokine Transcription in Macrophages by Targeting the hsa-miR-381-3p/PPP3CA and hsa-miR-381-3p/KLF4 Pathways in Response to 4,4’-Methylene Diphenyl Diisocyanate-Glutathione Conj",
      "description": "Exposure to 4,4’-methylene diphenyl diisocyanate (MDI), the most used monomeric diisocyanate, can lead to the development of occupational asthma (OA). However, the detailed molecular pathophysiological mechanisms behind how MDI exposure leading to OA remain poorly understood. Our previous research has shown that MDI or MDI-glutathione (GSH) exposure reduces the levels of endogenous human (hsa) and murine (mmu) microRNAs (miRs), specifically miR-206-3p and miR-381-3p, which were downregulated after MDI-GSH exposure, in turn activates the calcineurin/Nuclear Factor of Activated T Cells (NFAT)/inducible nitric oxide synthase (NOS2) signaling axis and the Krüppel-Like Factor 4 (KLF4)/chemokine pathways in macrophages. Prior studies have shown the roles of circular RNAs (circRNAs) species involve in the regulation of miR expression. The circRNA hsa_circ_0008726 is induced by MDI-GSH expression and plays a role to downregulate hsa-miR-206-3p in macrophages. However, the response of MDI-GSH-induced circular RNAs in downregulating hsa-miR-381-3p is not yet known. In this study, the expression of candidate circular RNAs that bind hsa-miR-381-3p was analyzed in differentiated THP-1 macrophages treated with MDI-GSH conjugates using RT-qPCR.",
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      "identifier": "https://data.cdc.gov/api/views/shsx-r4h8",
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        }
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        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
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      },
      "modified": "2026-09-10",
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          "mediaType": "application/x-zip-compressed",
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        }
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        "@type": "Document",
        "title": "Circular RNA hsa_circ_0099188 Regulates Inducible Nitric Oxide Synthase and Chemokine Transcription in Macrophages by Targeting the hsa-miR-381-3p/PPP3CA and hsa-miR-381-3p/KLF4 Pathways in Response to 4,4’-Methylene Diphenyl Diisocyanate-Glutathione Conj - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/shsx-r4h8",
        "description": "Circular RNA hsa_circ_0099188 Regulates Inducible Nitric Oxide Synthase and Chemokine Transcription in Macrophages by Targeting the hsa-miR-381-3p/PPP3CA and hsa-miR-381-3p/KLF4 Pathways in Response to 4,4’-Methylene Diphenyl Diisocyanate-Glutathione Conj - Dataset Home",
        "issued": "2025-09-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
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      "inventoried": "2026-09-27"
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      "title": "National Immunization Survey Adult COVID Module (NIS-ACM): RespVaxView| Data | Centers for Disease Control and Prevention (cdc.gov) 2024-2025 Archive Season",
      "description": "• National Immunization Survey Adult COVID Module (NIS-ACM): CDC is providing information on the updated 2024-25 COVID-19 vaccine, the 2024-25 seasonal flu vaccine, and the RSV vaccine uptake and confidence. These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics. \n\n• The data start in September 2024.\n\n• The archived data can be found here: \n- 2023-24 season: https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/uc4z-hbsd/about_data\n- Before October 2023:  \nhttps://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/udsf-9v7b/about_data",
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        }
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      "publisher": {
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      ],
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      "landingPage": {
        "@type": "Document",
        "title": "National Immunization Survey Adult COVID Module (NIS-ACM): RespVaxView| Data | Centers for Disease Control and Prevention (cdc.gov) 2024-2025 Archive Season - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/si7g-c2bs",
        "description": "National Immunization Survey Adult COVID Module (NIS-ACM): RespVaxView| Data | Centers for Disease Control and Prevention (cdc.gov) 2024-2025 Archive Season - Dataset Home",
        "issued": "2024-11-20",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
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        ]
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      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
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      "license": "https://www.usa.gov/government-works",
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
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      "@id": "https://data.cdc.gov/api/views/siwp-yg6m",
      "identifier": "https://data.cdc.gov/api/views/siwp-yg6m",
      "title": "AH Provisional COVID-19 Death Counts by Week, Race, and Age, United States 2020-2023",
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      },
      "accessRights": "public",
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        {
          "@type": "dcat:Distribution",
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          "description": "Provisional deaths involving COVID-19 reported to NCHS by MMWR week, race and Hispanic origin, and age group. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/siwp-yg6m",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Provisional COVID-19 Death Counts by Week, Race, and Age, United States 2020-2023",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection",
      "description": "NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "wonder",
        "2022",
        "nndss",
        "netss",
        "nedss",
        "ehrlichiosis and anaplasmosis",
        "ehrlichia chaffeensis infection",
        "anaplasma phagocytophilum infection"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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          "accessURL": "https://data.cdc.gov/d/sixg-saap",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/sixg-saap/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/sixg-saap",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/sixg-saap/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/sixg-saap/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/sixg-saap",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/sixg-saap/columns.xml",
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          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/sixg-saap/query.geojson?accessType=DOWNLOAD",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/sixg-saap/export.kml?accessType=DOWNLOAD",
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          "mediaType": "application/vnd.google-earth.kml+xml",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/sixg-saap/export.kmz?accessType=DOWNLOAD",
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        "@type": "Document",
        "title": "NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/sixg-saap",
        "description": "NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
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            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
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        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Percentage of Adults 18 Years and Older Vaccinated with the Updated 2023-24 COVID-19 Vaccine by Jurisdiction",
      "description": "Weekly COVID-19 Vaccination Coverage of Adults 18 Years and Older by Jurisdiction\n\n• COVID-19 vaccination coverage among adults 18 years and older is assessed through the National Immunization Survey-Adult COVID Module, providing weekly COVID-19 vaccination coverage estimates. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)\n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine for adults ages 18 years and older.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/sjpm-fk4b",
      "contactPoint": [
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          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "nis-acm",
        "covid-19 vaccination",
        "adults"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/sjpm-fk4b/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/sjpm-fk4b",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/sjpm-fk4b/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/sjpm-fk4b",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "accessURL": "https://data.cdc.gov/api/views/sjpm-fk4b/columns.json",
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          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/sjpm-fk4b/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/sjpm-fk4b",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Percentage of Adults 18 Years and Older Vaccinated with the Updated 2023-24 COVID-19 Vaccine by Jurisdiction - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/sjpm-fk4b",
        "description": "Weekly Cumulative Percentage of Adults 18 Years and Older Vaccinated with the Updated 2023-24 COVID-19 Vaccine by Jurisdiction - Dataset Home",
        "issued": "2023-12-11",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Difference in Cumulative Percentage of Children 6 Months -17 Years Who Are Up to date with COVID-19 Vaccines by Selected Demographics and by Season, United States",
      "description": "• Differences in Cumulative Percentage of Children 6 Months–17 Years Who Are Up to Date with COVID-19 Vaccines by Selected Demographics and by Season. \n\n• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/nis/about/index.html). The NIS-CCM was discontinued at the end of 2023 and questions regarding COVID-19 vaccination status and intent were added to the National Immunization Survey-Flu (NIS-Flu) (https://www.cdc.gov/nis/about/index.html).\n\n• NIS-CCM and NIS-Flu are national random-digit dial cellular telephone surveys of households with children ages 6 months through 17 years; NIS-Flu is conducted during October-June. The respondent to a NIS-Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination. \n\n• Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 and 2025–26 COVID-19 vaccines were first available at the end of August 2024 and 2025, respectively.  \n\n• The NIS-Flu data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/skkh-jsrk",
      "contactPoint": [
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          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "covid-19 vaccination",
        "nis-ccm"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/skkh-jsrk/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/skkh-jsrk",
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        },
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            "title": "Columns for this asset"
          }
        },
        {
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          "accessURL": "https://data.cdc.gov/d/skkh-jsrk",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/skkh-jsrk/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Difference in Cumulative Percentage of Children 6 Months -17 Years Who Are Up to date with COVID-19 Vaccines by Selected Demographics and by Season, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/skkh-jsrk",
        "description": "Difference in Cumulative Percentage of Children 6 Months -17 Years Who Are Up to date with COVID-19 Vaccines by Selected Demographics and by Season, United States - Dataset Home",
        "issued": "2025-12-10",
        "publisher": [
          {
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            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
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        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome",
      "description": "NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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        "description": "NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - Dataset Home",
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      "inventoried": "2026-09-27"
    },
    {
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      "title": "NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus",
      "description": "NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote:\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as \"viral hemorrhagic fevers\". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",
      "accessLevel": "public",
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      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
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      "keyword": [
        "machupo virus",
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        "marburg virus",
        "nedss",
        "netss",
        "nndss",
        "sabia virus",
        "viral hemorrhagic fevers",
        "wonder"
      ],
      "modified": "2026-09-09",
      "distribution": [
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      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/snev-n7vb",
        "description": "NNDSS - TABLE 1OO. Viral hemorrhagic fevers, Machupo virus to Viral hemorrhagic fevers, Sabia virus - Dataset Home",
        "issued": "2021-01-21",
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State-normed Well Water Index (WWI)",
      "description": "The WWI is a screening tool that uses nationally available datasets to summarize baseline characteristics about weather-related hazards and vulnerability at the census tract level for communities reliant on private wells. This dataset contains continental US census tracts for which there are state-normed WWI assigned. To visualize these data, please visit the Tracking Network at https://ephtracking.cdc.gov/DataExplorer/. For a lay description of these data, please visit https://ephtracking.cdc.gov/indicatorPages and for the scientific publication detailing these data please visit https://pubmed.ncbi.nlm.nih.gov/39510280/\n\nThe data for the nationally-normed WWI can be accessed here https://data.cdc.gov/dataset/Nationally-normed-WWI/fxwg-3udm/about_data.\n\nThe data for census tracts with no Well Water Index (WWI) assigned  can be accessed here https://data.cdc.gov/dataset/No-WWI/agqb-jgkw/about_data",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/snkv-n8f6",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "Komal Peer",
          "hasEmail": "mailto:ruk8@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/gdpj-49x2",
        "@type": "Organization",
        "name": "SHANNON DEWITT"
      },
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/snkv-n8f6/export.csv?accessType=DOWNLOAD",
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            "title": "Columns for this asset"
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        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/snkv-n8f6/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/snkv-n8f6",
          "mediaType": "application/xml",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State-normed Well Water Index (WWI) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/snkv-n8f6",
        "description": "State-normed Well Water Index (WWI) - Dataset Home",
        "issued": "2025-11-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/gdpj-49x2",
            "@type": "Organization",
            "name": "SHANNON DEWITT"
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        ]
      },
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      ],
      "programCode": [
        "009:032"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "United States Drought Monitor, 2000-2016",
      "description": "This dataset provides data at the county level for the contiguous United States. It includes weekly United States Drought Monitor (USDM) data from 2000-2016 provided by the Cooperative Institute for Climate and Satellites - North Carolina. Please refer to the metadata attachment for more information.\r\n\r\nThese data are used by the CDC's National Environmental Public Health Tracking Network to generate drought measures. Learn more about drought on the Tracking Network's website: https://ephtracking.cdc.gov/showDroughtLanding.\r\n\r\nBy using these data, you signify your agreement to comply with the following requirements: \r\n1.\tUse the data for statistical reporting and analysis only. \r\n2.\tDo not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \r\n3.\tDo not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \r\n4.\tDo not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \r\n5.\tAcknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \r\n6.\tSuggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. \r\n\r\nProblems or Questions? \r\nEmail trackingsupport@cdc.gov.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/spsk-9jj6",
      "contactPoint": [
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          "fn": "Craig Kassinger",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
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        "name": "ynz9"
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      "keyword": [
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        "environmental health"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/spsk-9jj6/export.csv?accessType=DOWNLOAD",
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            "title": "Columns for this asset"
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          "downloadURL": "https://data.cdc.gov/api/v3/views/spsk-9jj6/query.xml?accessType=DOWNLOAD",
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            "title": "Columns for this asset"
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      ],
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        "title": "United States Drought Monitor, 2000-2016 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/spsk-9jj6",
        "description": "United States Drought Monitor, 2000-2016 - Dataset Home",
        "issued": "2018-08-08",
        "publisher": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/ss2j-8ajj",
      "identifier": "https://data.cdc.gov/api/views/ss2j-8ajj",
      "title": "U.S. State Life Expectancy by Sex, 2020",
      "description": "The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.)\nin 2020 for the total, male and female populations.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "U.S. State Life Expectancy by Sex, 2020",
          "description": "The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.) in 2020 for the total, male and female populations. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/ss2j-8ajj",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "U.S. State Life Expectancy by Sex, 2020",
        "accessURL": "https://www.cdc.gov/nchs/data-visualization/state-life-expectancy/index_2020.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "HAICViz - iSA",
      "description": "<p>The healthcare-associated infection component of CDC’s <a href=\"https://www.cdc.gov/ncezid/dpei/eip/index.html\" target=\"_blank\">EIP</a> engages a <a href=\"https://www.cdc.gov/ncezid/dpei/eip/eip-sites.html\" target=\"_blank\">network</a> of state health departments and their academic medical center partners to help answer critical questions about emerging HAI threats, advanced infection tracking methods, and antibiotic resistance in the United States. Information gathered through this activity will play a key role in shaping future policies and recommendations targeting HAI prevention. Click <a href=\"https://www.cdc.gov/hai/eip/saureus.html\" target=\"_blank\">here</a> to learn more about Invasive Staphylococcus aureus infections</p>\n\n<h3>Interpretation</h3>\n<ul><li>Data presented in HAICViz may differ from other HAIC publications since different datasets or methods may be used.</li><li>Small numbers for some topics or filters may make year to year changes difficult to interpret.</li><li>Since each infection may have unique characteristics, the information available to display differs by individual organism.</li></ul>\n\n<h3>More Details</h3>\n<ul><li><a href=\"https://www.cdc.gov/hai/eip/saureus.html#Methods\" target=\"_blank\">Methodology</a>: Find details about surveillance population, case determination, surveillance evaluation, and more.</li><li>Reports and Findings: Access <a href=\"https://www.cdc.gov/hai/eip/saureus.html#anchor_1611155585754\" target=\"_blank\">reports</a> or lists of <a href=\"https://www.cdc.gov/hai/eip/saureus.html#anchor_1611155777037\" target=\"_blank\">publications</a> using HAIC Invasive Staphylococcus aureus data</li></ul>",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ssz5-s49e",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "HAIC",
          "hasEmail": "mailto:erib@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/8k5j-cs9h",
        "@type": "Organization",
        "name": "Invasive Staphylococcus aureus"
      },
      "keyword": [
        "haicviz",
        "healthcare associated infections",
        "mrsa",
        "mssa",
        "staphylococcus aureus"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
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        "issued": "2021-06-24",
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    {
      "@type": "Dataset",
      "title": "Preliminary U.S. RSV Burden Estimates",
      "description": "This dataset represents preliminary weekly estimates of cumulative U.S. RSV burden, including outpatient visits, hospitalizations, and deaths since the start of the 2024 respiratory season. Estimates are preliminary, and use reported weekly hospitalizations among people with a laboratory-confirmed respiratory syncytial virus (RSV) infection. The data are updated weekly as new RSV hospitalizations are reported to CDC from the RSV-NET surveillance system and include both new admissions that occurred during the reporting week, as well as those admitted in previous weeks that may not have been included in earlier reporting. Each week CDC estimates a range (i.e., a lower estimate and an upper estimate) of RSV hospitalizations, outpatient visits, and deaths that have occurred since the start of respiratory season. For details, please refer to the publications [1, 8].  \n\n<b>Note:</b> Data are preliminary and subject to change as updated data become available. Rates for recent RSV hospital admissions are subject to reporting delays; as new data are received each week, previous rates are updated accordingly.\n\n<b>Note:</b> Preliminary burden estimates are not inclusive of data from all RSV-NET sites. Due to model limitations, sites with small sample sizes can impact estimates in unpredictable ways and are excluded for the benefit of model stability. CDC is working to address model limitations and include data from all sites in final burden estimates. The methodology used for RSV burden estimation between the surveillance periods was updated to account for inclusion of additional surveillance sites, seasonal changes to adjustment factors, revised outpatient visits and death multiplier ratios, and improvements in estimation methods.   \n\n<b>References</b>\n1. Koumans EHA, Khan D, Trejo I, et al; Estimate of Burden of COVID-19 Workgroup. Estimated burden of COVID-19 illnesses, medical visits, hospitalizations, and deaths in the US from October 2022 to September 2024. JAMA Intern Med. Published online January 5, 2026. <a href=\"https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2843383#250739811\">Estimated Burden of COVID-19 Illnesses, Medical Visits, Hospitalizations, and Deaths in the US From October 2022 to September 2024 | Coronavirus (COVID-19) | JAMA Internal Medicine | JAMA Network</a><br>2. Reed C, Chaves SS, Daily Kirley P, et al. Estimating influenza disease burden from population-based surveillance data in the United States. PLoS One. 2015;10(3):e0118369. <a href=\"https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0118369\">Estimating Influenza Disease Burden from Population-Based Surveillance Data in the United States | PLOS One</a><br>3. Rolfes, MA, Foppa, IM, Garg, S, et al. Annual estimates of the burden of seasonal influenza in the United States: A tool for strengthening influenza surveillance and preparedness. Influenza Other Respi Viruses. 2018; 12: 132– 137. <a href=\"https://doi.org/10.1111/irv.12486\">https://doi.org/10.1111/irv.12486</a><br>4. Tokars JI, Rolfes MA, Foppa  IM, Reed C.  An evaluation and update of methods for estimating the number of influenza cases averted by vaccination in the United States. Vaccine. 2018;36(48):7331-7337. doi:10.1016/j.vaccine.2018.10.026 <br>5. Collier SA, Deng L, Adam EA, Benedict KM, Beshearse EM, Blackstock AJ, Bruce BB, Derado G, Edens C, Fullerton KE, Gargano JW, Geissler AL, Hall AJ, Havelaar AH, Hill VR, Hoekstra RM, Reddy SC, Scallan E, Stokes EK, Yoder JS, Beach MJ. Estimate of Burden and Direct Healthcare Cost of Infectious Waterborne Disease in the United States. Emerg Infect Dis. 2021 Jan;27(1):140-149. doi: 10.3201/eid2701.190676. PMID: 33350905; PMCID: PMC7774540. <br>6. Reed C, Kim IK, Singleton JA,  et al. Estimated influenza illnesses and hospitalizations averted by vaccination–United States, 2013-14 influenza season. MMWR Morb Mortal Wkly Rep. 2014 Dec 12;63(49):1151-4. https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6349a2.htm <br>7. Reed C, Ang",
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      "description": "1991-2017. High School Dataset. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors \r\namong youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and \r\nother drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human \r\nimmunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors \r\nthe prevalence of obesity and asthma and other priority health behaviors.",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/svam-8dhg/export.kml?accessType=DOWNLOAD",
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        "accessURL": "https://data.cdc.gov/d/svam-8dhg",
        "description": "DASH - Youth Risk Behavior Surveillance System (YRBSS): High School - Excluding Sexual Identity - Dataset Home",
        "issued": "2023-07-19",
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    },
    {
      "@type": "Dataset",
      "title": "Weekly Influenza Vaccination Coverage and Intent for Vaccination, Overall, by Selected Demographics and Jurisdiction, Among Adults 18 Years and Older",
      "description": "• Weekly Influenza Vaccination Coverage and intent among adults 18 Years and Older by Demographic Characteristics and Jurisdiction\n\n• Weekly estimates of influenza vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Surveys (NIS)-Fall Respiratory Virus Module (NIS-FRVM) (https://www.cdc.gov/nis/about/index.html). The NIS-FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. All estimates are based upon self-reported receipt of vaccination and month of that vaccination.  \n\n• The NIS-FRVM data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
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        }
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        "vsd",
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        "dose distributed",
        "nis-flu",
        "nis-child",
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        "iqvia",
        "iis-child"
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        "accessURL": "https://data.cdc.gov/d/sw5n-wg2p",
        "description": "Weekly Influenza Vaccination Coverage and Intent for Vaccination, Overall, by Selected Demographics and Jurisdiction, Among Adults 18 Years and Older - Dataset Home",
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    },
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      "description": "This dataset contains model-based county estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2023 county population estimate data, and American Community Survey 2019-2023 or 2018–2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
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          "accessURL": "https://data.cdc.gov/d/swc5-untb",
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        "accessURL": "https://data.cdc.gov/d/swc5-untb",
        "description": "PLACES: Local Data for Better Health, County Data, 2025 release - Dataset Home",
        "issued": "2024-08-23",
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    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Hepatitis (viral, acute) C",
      "description": "NNDSS - Table II. Hepatitis (viral, acute) C - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\n U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n *Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Based on the CSTE Position Statement 15-ID-03: Revision of the Case Definition of Hepatitis C for National Notification, acute hepatitis C is now reported by case classification status.",
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      "identifier": "https://data.cdc.gov/api/views/swv3-ghj7",
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        }
      ],
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        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
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        "hepatitis",
        "nndss",
        "2017",
        "netss",
        "wonder",
        "nedss"
      ],
      "modified": "2026-09-10",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/swv3-ghj7/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/swv3-ghj7",
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        },
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          "modified": "2026-09-10",
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          }
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          "downloadURL": "https://data.cdc.gov/api/v3/views/swv3-ghj7/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/swv3-ghj7",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Hepatitis (viral, acute) C - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/swv3-ghj7",
        "description": "NNDSS - Table II. Hepatitis (viral, acute) C - Dataset Home",
        "issued": "2018-01-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/sz5x-j2c3",
      "identifier": "https://data.cdc.gov/api/views/sz5x-j2c3",
      "title": "DQS National Post-acute and Long-term Care Providers",
      "description": "Health estimates of providers of post-acute and long-term care in the United States. Search, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:dqs@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS National Post-acute and Long-term Care Providers",
          "description": "Health estimates of providers of post-acute and long-term care in the United States. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/sz5x-j2c3",
          "modified": "2026-04-20"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-04-20",
      "landingPage": {
        "@type": "Document",
        "title": "DQS National Post-acute and Long-term Care Providers",
        "accessURL": "https://www.cdc.gov/nchs/dqs/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Mapping Injury, Overdose, and Violence - National",
      "description": "This file contains death counts and death rates for drug overdose, suicide, homicide and firearm injuries at the United States national level (additional datasets exist for other levels of geography). The data is grouped by 3 different time periods including monthly, yearly, and trailing twelve months. Please see data dictionary for intents and mechanisms included in each measure.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/t6u2-f84c",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIPC",
          "hasEmail": "mailto:injurydashboard@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/jeb5-35de",
        "@type": "Organization",
        "name": "NCIPC Injury Dashboard"
      },
      "keyword": [
        "mortality",
        "nchs",
        "suicide",
        "deaths",
        "drug overdose",
        "firearm injury",
        "homicide"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/t6u2-f84c/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/t6u2-f84c",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/t6u2-f84c/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/t6u2-f84c",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/t6u2-f84c/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/t6u2-f84c/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/t6u2-f84c",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/t6u2-f84c/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Mapping Injury, Overdose, and Violence - National - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/t6u2-f84c",
        "description": "Mapping Injury, Overdose, and Violence - National - Dataset Home",
        "issued": "2025-01-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/jeb5-35de",
            "@type": "Organization",
            "name": "NCIPC Injury Dashboard"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
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      ],
      "programCode": [
        "009:033"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 20 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 47 of 48 and corresponds to the time range between December 10, 2012, and December 31, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/t8mc-vgxe",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/t8mc-vgxe/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/t8mc-vgxe",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 20 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/t8mc-vgxe",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 20 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "BRFSS Prevalence And Trends Data: Health Care Access/Coverage for 1995-2010",
      "description": "Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements. For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm. Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/t984-9cdv",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/7vdi-f8f4",
        "@type": "Organization",
        "name": "Mark@CDC"
      },
      "keyword": [
        "adults",
        "health care coverage",
        "brfss",
        "heath care access"
      ],
      "modified": "2026-08-17",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/t984-9cdv/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/t984-9cdv",
          "mediaType": "text/csv",
          "modified": "2026-08-17"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/t984-9cdv/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/t984-9cdv",
          "mediaType": "application/json",
          "modified": "2026-08-17",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/t984-9cdv/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/t984-9cdv/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/t984-9cdv",
          "mediaType": "application/xml",
          "modified": "2026-08-17",
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            "accessURL": "https://data.cdc.gov/api/views/t984-9cdv/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/t984-9cdv/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/t984-9cdv",
          "mediaType": "application/geo+json",
          "modified": "2026-08-17"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/t984-9cdv/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/t984-9cdv",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-08-17"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/t984-9cdv/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/t984-9cdv",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-08-17"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "BRFSS Prevalence And Trends Data: Health Care Access/Coverage for 1995-2010 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/t984-9cdv",
        "description": "BRFSS Prevalence And Trends Data: Health Care Access/Coverage for 1995-2010 - Dataset Home",
        "issued": "2013-08-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/7vdi-f8f4",
            "@type": "Organization",
            "name": "Mark@CDC"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "National Health and Nutrition Examination Survey (NHANES) – Vision and Eye Health Surveillance",
      "description": "1999-2008; 2005-2008. This dataset is a de-identified summary table of vision and eye health data indicators from NHANES, stratified by all available combinations of age group, race/ethnicity, sex, and risk factor. NHANES is a program of studies conducted by the National Center for Health Statistics at CDC designed to assess the health and nutritional status of adults and children in the U.S, and combines interviews and physical examinations. NHANES stopped collecting vision and eye health data in 2008. Approximate sample size is 5,000 persons per year. NHANES data for VEHSS includes questions and examinations related to Visual Function, Vision Exam Measures, Eye Health Conditions, Service Utilization, and Examination Measures. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Detailed information on VEHSS NHANES analyses can be found on the VEHSS NHANES webpage (https://www.cdc.gov/visionhealth/vehss/data/national-surveys/national-health-and-nutrition-examination-survey.html). Additional information about NHANES can be found on the NHANES website (https://www.cdc.gov/nchs/nhanes/index.htm). The VEHSS NHANES dataset was last updated in June 2018.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/tdbk-8ubw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DDT Public Inquiries",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "cataract",
        "visual function",
        "visual acuity",
        "vision exam measures",
        "service utilization",
        "nhanes",
        "glaucoma",
        "diabetes",
        "blind"
      ],
      "modified": "2026-09-23",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Vision-Eye-Health/National-Health-and-Nutrition-Examination-Survey-N/tdbk-8ubw"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tdbk-8ubw/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tdbk-8ubw",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tdbk-8ubw/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tdbk-8ubw",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/tdbk-8ubw/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tdbk-8ubw/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tdbk-8ubw",
          "mediaType": "application/xml",
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          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/tdbk-8ubw/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tdbk-8ubw/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tdbk-8ubw",
          "mediaType": "application/geo+json",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tdbk-8ubw/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tdbk-8ubw",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tdbk-8ubw/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tdbk-8ubw",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-23"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Health and Nutrition Examination Survey (NHANES) – Vision and Eye Health Surveillance - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/tdbk-8ubw",
        "description": "National Health and Nutrition Examination Survey (NHANES) – Vision and Eye Health Surveillance - Dataset Home",
        "issued": "2025-05-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic",
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        "description": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - Dataset Home",
        "issued": "2021-01-21",
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    },
    {
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      "title": "AH Provisional COVID-19 Deaths and Contributing Conditions by Sex, Race and Hispanic Origin, and Age, 2020",
      "description": "This dataset shows health conditions and contributing causes mentioned in conjunction with deaths involving coronavirus disease 2019 (COVID-19), by sex, race and Hispanic origin, and age group, for 2020.",
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        "name": "National Center for Health Statistics (NCHS)",
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        "@type": "Organization",
        "name": "Shawn Boltz"
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      "modified": "2026-09-09",
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        "description": "Elk Creek Seismic Waveforms 2010 (Part 4 of 7) - Dataset Home",
        "issued": "2025-07-03",
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    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome",
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        "accessURL": "https://data.cdc.gov/d/tfcp-ufzp",
        "description": "NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome - Dataset Home",
        "issued": "2022-01-14",
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1JJ. Tuberculosis to Tularemia",
      "description": "NNDSS - TABLE 1JJ. Tuberculosis to Tularemia – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
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        "description": "NNDSS - TABLE 1JJ. Tuberculosis to Tularemia - Dataset Home",
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    {
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      "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2021-2023",
      "description": "2021 to 2023, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and racial/ethnic group. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke",
      "accessLevel": "public",
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      "keyword": [
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        "county",
        "counties",
        "cardiovascular disease",
        "cardiovascular",
        "heart disease"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/th8y-thx5/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/th8y-thx5",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/th8y-thx5/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/th8y-thx5",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/th8y-thx5/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/th8y-thx5/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/th8y-thx5",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/th8y-thx5/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2021-2023 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/th8y-thx5",
        "description": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2021-2023 - Dataset Home",
        "issued": "2025-08-06",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/a7ta-3b7u",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "All counties in the United States"
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:029"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/th9n-ghnr",
      "identifier": "https://data.cdc.gov/api/views/th9n-ghnr",
      "title": "Reduced Access to Care During COVID-19",
      "description": "The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of reduced access to healthcare for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about unmet care in the last 2 months during the coronavirus pandemic. Unmet needs for health care are often the result of cost-related barriers. The National Health Interview Survey, conducted by NCHS, is the source for high-quality data to monitor cost-related health care access problems in the United States. For example, in 2018, 7.3% of persons of all ages reported delaying medical care due to cost and 4.8% reported needing medical care but not getting it due to cost in the past year. However, cost is not the only reason someone might delay or not receive needed medical care. As a result of the coronavirus pandemic, people also may not get needed medical care due to cancelled appointments, cutbacks in transportation options, fear of going to the emergency room, or an altruistic desire to not be a burden on the health care system, among other reasons. The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/reduced-access-to-care.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of reduced access to care during the pandemic (beginning in Phase 1, which started on April 23, 2020). The Household Pulse Survey reports the percentage of adults who delayed medical care in the last 4 weeks or who needed medical care at any time in the last 4 weeks for something other than coronavirus but did not get it because of the pandemic. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who were unable to receive medical care (including urgent care, surgery, screening tests, ongoing treatment, regular checkups, prescriptions, dental care, vision care, and hearing care) in the last 2 months. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/reduced-access-to-care.htm#limitations",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Reduced Access to Care During COVID-19",
          "description": "The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/th9n-ghnr",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Reduced Access to Care During COVID-19",
        "accessURL": "https://www.cdc.gov/nchs/covid19/rands/reduced-access-to-care.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "American Community Survey (ACS) – Vision and Eye Health Surveillance",
      "description": "2014 - 2022 (excluding 2020). This dataset is a de-identified summary table of vision and eye health data indicators from ACS, stratified by all available combinations of age group, race/ethnicity, sex, and state. ACS is an annual nationwide survey conducted by the U.S. Census Bureau that collects information on demographic, social, economic, and housing characteristics of the U.S. population. Approximate sample size is 3 million annually. ACS data for VEHSS includes one question related to Visual Function. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Data will be updated as it becomes available. Detailed information on VEHSS ACS analyses can be found on the VEHSS ACS webpage (link). Additional information about ACS can be found on the U.S. Census Bureau website (https://www.census.gov/content/dam/Census/programs-surveys/acs/about/ACS_Information_Guide.pdf). The VEHSS ACS dataset was last updated April 2024",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/thir-stei",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DDT Public Inquiries",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "acs",
        "contact lenses",
        "glasses",
        "visual function"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/d/thir-stei"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/thir-stei/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/thir-stei",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/thir-stei/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/thir-stei",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/thir-stei/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/thir-stei/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/thir-stei",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/thir-stei/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/thir-stei/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/thir-stei",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/thir-stei/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/thir-stei",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/thir-stei/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/thir-stei",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "American Community Survey (ACS) – Vision and Eye Health Surveillance - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/thir-stei",
        "description": "American Community Survey (ACS) – Vision and Eye Health Surveillance - Dataset Home",
        "issued": "2025-05-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Tetanus to Vibriosis",
      "description": "NNDSS - Table II. Tetanus to Vibriosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n* Case counts for reporting year 2016 are provisional and subject to change.  For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table II to facilitate case count verification with reporting jurisdictions. \r\n§ Any species of the family Vibrionaceae, other than toxigenic Vibrio cholerae O1 or O139.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/tj26-bdgd",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "wonder",
        "2016",
        "mmwr",
        "nedss",
        "netss",
        "nndss",
        "tetanus",
        "varicella",
        "vibriosis"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tj26-bdgd/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tj26-bdgd",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tj26-bdgd/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tj26-bdgd",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/tj26-bdgd/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tj26-bdgd/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tj26-bdgd",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/tj26-bdgd/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Tetanus to Vibriosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/tj26-bdgd",
        "description": "NNDSS - Table II. Tetanus to Vibriosis - Dataset Home",
        "issued": "2017-01-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Division for Heart Disease and Stroke Prevention: Data Trends & Maps",
      "description": "The CDC Division for Heart Disease and Stroke Prevention's Data Trends & Maps online tool allows searching for and view of health indicators related to Heart Disease and Stroke Prevention on the basis of a specific location or a health indicator.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/tkjk-cwh5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Susan Wilkin",
          "hasEmail": "mailto:smw1@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/f5cp-q4hg",
        "@type": "Organization",
        "name": "nccd.cdc.gov"
      },
      "keyword": [
        "cdc",
        "centers for disease control and prevention"
      ],
      "modified": "2026-09-09",
      "landingPage": {
        "@type": "Document",
        "title": "Division for Heart Disease and Stroke Prevention: Data Trends & Maps - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/tkjk-cwh5",
        "description": "Division for Heart Disease and Stroke Prevention: Data Trends & Maps - Dataset Home",
        "issued": "2015-03-25",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/f5cp-q4hg",
            "@type": "Organization",
            "name": "nccd.cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/tpcp-uiv5",
      "identifier": "https://data.cdc.gov/api/views/tpcp-uiv5",
      "title": "Provisional COVID-19 Deaths by HHS Region, Race, and Age",
      "description": "Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nDeaths involving COVID-19 reported to NCHS by time-period, HHS region, race and Hispanic origin, and age group.\n\nUnited States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Provisional COVID-19 Deaths by HHS Region, Race, and Age",
          "description": "Effective September 27, 2023, this dataset will no longer be updated. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/tpcp-uiv5",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Provisional COVID-19 Deaths by HHS Region, Race, and Age",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/tqpr-vcrm",
      "identifier": "https://data.cdc.gov/api/views/tqpr-vcrm",
      "title": "National Hospital Ambulatory Medical Care Survey, Public-use data 1992-2022",
      "description": "The National Hospital Ambulatory Medical Care Survey (NHAMCS) has been fielded annually since 1992 to collect data on the utilization and provision of ambulatory care services in hospital emergency and outpatient departments. Data collection from hospital-based ambulatory surgery centers began in 2009. And between 2010 and 2012 NHAMCS gathered data on visits to freestanding ambulatory surgery centers. In 2018, the survey began focusing on just the ambulatory visits made to emergency departments.\nEach emergency department is randomly assigned to a 4-week reporting period. During this period, data for a systematic random sample of visits are recorded by Census interviewers using a computerized Patient Record Form. Data are obtained on patient characteristics such as age, sex, race, and ethnicity, and visit characteristics such as patient’s reason for visit, provider’s diagnosis, services ordered or provided, and treatments, including medication therapy. In addition, data about the facility are collected as part of a survey induction interview.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "National Hospital Ambulatory Medical Care Survey, Public-use data 1992-2022",
          "description": "The National Hospital Ambulatory Medical Care Survey (NHAMCS) has been fielded annually since 1992 to collect data on the utilization and provision of ambulatory care services in hospital emergency and outpatient departments. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/tqpr-vcrm",
          "modified": "2026-04-23"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-04-23",
      "landingPage": {
        "@type": "Document",
        "title": "National Hospital Ambulatory Medical Care Survey, Public-use data 1992-2022",
        "accessURL": "https://archive.cdc.gov/www_cdc_gov/nchs/ahcd/ahcd-questionnaires-archived.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2016-2018",
      "description": "2016 to 2018, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/tqwu-4a7k",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHDSP Requests",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/a7ta-3b7u",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "cardiovascular",
        "cardiovascular disease",
        "cerebrovascular disease",
        "counties",
        "county",
        "stroke"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tqwu-4a7k/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tqwu-4a7k",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tqwu-4a7k/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tqwu-4a7k",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/tqwu-4a7k/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tqwu-4a7k/query.xml?accessType=DOWNLOAD",
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      "landingPage": {
        "@type": "Document",
        "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2016-2018 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/tqwu-4a7k",
        "description": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2016-2018 - Dataset Home",
        "issued": "2020-04-28",
        "publisher": [
          {
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
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      "bureauCode": [
        "009:20"
      ],
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        "009:020"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
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      "@id": "https://data.cdc.gov/api/views/trpk-sp8z",
      "identifier": "https://data.cdc.gov/api/views/trpk-sp8z",
      "title": "NHIS Interactive Biannual Early Release Estimates",
      "description": "Interactive Biannual Early Release Estimates provide health statistics based on data from the 2019-2021 National Health Interview Survey (NHIS) for selected health topics for adults aged 18 years and over. All estimates are unadjusted percentages based on preliminary data files and are released prior to final data editing and final weighting to provide access to the most recent information from the NHIS. Estimates can be grouped by demographic characteristics (such as age, race and Hispanic origin, or sex). Estimates based on 2019-2020 NHIS quarterly data are available in Interactive Quarterly Early Release Estimates. Estimates based on the 1997–2018 NHIS can be found in Previous Early Release Reports on Key Health Indicators.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
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        "name": "National Center for Health Statistics (NCHS)",
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      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NHIS Interactive Biannual Early Release Estimates",
          "description": "Interactive Biannual Early Release Estimates provide health statistics based on data from the 2019-2021 National Health Interview Survey (NHIS) for selected health topics for adults aged 18 years and over. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/trpk-sp8z",
          "modified": "2026-05-28"
        }
      ],
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      "modified": "2026-05-28",
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        "@type": "Document",
        "title": "NHIS Interactive Biannual Early Release Estimates",
        "accessURL": "https://wwwn.cdc.gov/NHISDataQueryTool/ER_Biannual/index_biannual.html"
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Respiratory Pathogens and Vaccination (RPV) Metrics for Nursing Home Residents by Jurisdiction, National Healthcare Safety Network (NHSN)",
      "description": "This dataset represents weekly respiratory pathogens and vaccination data for nursing home residents, as they were reported to CDC’s National Health Safety Network (NHSN). The data are aggregated to national and state/territory levels. As of September 30, 2024, the NHSN Weekly Respiratory Pathogens and Vaccination Module was implemented to allow nursing homes to submit weekly cases, hospitalizations, and vaccination data for respiratory pathogens (COVID-19, influenza, and respiratory syncytial [RSV]) on a single data collection form. The Centers for Medicare and Medicaid Services (CMS) required the submission of COVID-19 data beginning September 30, 2024, concurrently nursing homes were permitted to voluntarily submit influenza and RSV data. Beginning January 1, 2025, CMS requires nursing homes to report weekly data for all three respiratory pathogens among residents. Data included in this dataset represent aggregated counts capturing information specific to cases, hospitalizations, and vaccination for COVID-19, influenza, and RSV among residents during a given week of data collection.  \n\nFor more information on the reporting mandate per the Centers for Medicare and Medicaid Services (CMS) requirements, visit: <a href=\"https://www.federalregister.gov/documents/2024/11/07/2024-25441/medicare-program-calendar-year-cy-2025-home-health-prospective-payment-system-hh-pps-rate-update-hh\">Federal Register :: Medicare Program; Calendar Year (CY) 2025 Home Health Prospective Payment System (HH PPS) Rate Update; HH Quality Reporting Program Requirements; HH Value-Based Purchasing Expanded Model Requirements; Home Intravenous Immune Globulin (IVIG) Items and Services Rate Update; and Other Medicare Policies</a>.\n\nFor more information regarding NHSN’s collection of these data, including full reporting guidance, visit: https://www.cdc.gov/nhsn/ltc/weekly-covid-vac/index.html \n\n<b>Source: CDC National Healthcare Safety Network (NHSN).  </b>\n<ul><li><b>Data source description:</b> As of September 30, 2024, the NHSN Weekly Respiratory Pathogens and Vaccination Module was implemented to allow nursing homes to submit weekly cases, hospitalizations, and vaccination data for respiratory pathogens (COVID-19, Influenza, and RSV) on a single data collection form. An NHSN surveillance week is defined as beginning on a Monday and ending on a Sunday. Only CMS-certified nursing homes indicated as active reporters in NHSN are included in the dataset.  Due to differing CMS reporting requirements for COVID-19, Influenza, and RSV, the data presented in this dataset are as follows: </li><ul><li><b>For surveillance weeks October 6, 2024 to December 29, 2024,</b> the reported COVID-19 data reflects submissions made during a mandated reporting period and is available in the dataset. Only facilities that have submitted complete COVID-19 data for these surveillance weeks are included in the dataset. In the absence of a reporting mandate for Influenza and RSV data during this period, these data were submitted voluntarily and are not included in the dataset. As a result, the value associated with the number of reporting facilities corresponds to those that submitted complete COVID-19 data for the given week of data collection.\n</li><li>As of January 1, 2025, an updated CMS reporting requirement mandated the weekly submission of COVID-19, Influenza, and RSV data to NHSN. This requirement took effect on a Wednesday, which is halfway through the NHSN-defined surveillance week (Monday – Sunday). To ensure reporting consistency, Influenza and RSV reporting remained voluntary in NHSN <b>for surveillance week January 5, 2025.</b> As a result, Influenza and RSV data are not included in the dataset for this week of data collection. Only facilities that submitted complete COVID-19 data for this surveillance week are included in the dataset, with the reported facility count reflecting those submissions.  \n</li><li><b>For surveillance weeks January 12, 2025 to the present,</b>",
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        "title": "Weekly Respiratory Pathogens and Vaccination (RPV) Metrics for Nursing Home Residents by Jurisdiction, National Healthcare Safety Network (NHSN) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/tscn-ryh9",
        "description": "Weekly Respiratory Pathogens and Vaccination (RPV) Metrics for Nursing Home Residents by Jurisdiction, National Healthcare Safety Network (NHSN) - Dataset Home",
        "issued": "2026-03-05",
        "publisher": [
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            "@type": "Organization",
            "name": "CDC"
          }
        ]
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        "@type": "Location",
        "prefLabel": "United States"
      },
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      "bureauCode": [
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      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 State, Tribal, Local, and Territorial Funding",
      "description": "The U.S. government has taken unprecedented action to address the public health threat posed by this new coronavirus. To accelerate response efforts, CDC received supplemental funds through five congressional acts: the Coronavirus Preparedness and Response Supplemental Appropriations Act, 2020; Coronavirus Aid, Relief, and Economic Security Act; Paycheck Protection Program and Health Care Enhancement Act; Coronavirus Response and Relief Supplemental Appropriations Act, 2021; and American Rescue Plan Act of 2021. CDC is actively funding state, tribal, local, and territorial public health organizations to meet the challenges of this fast-moving public health threat.",
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      "identifier": "https://data.cdc.gov/api/views/tt3f-rr33",
      "contactPoint": [
        {
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          "fn": "CDC INFO",
          "hasEmail": "mailto:ERIC@cdc.gov"
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      "publisher": {
        "@id": "https://data.cdc.gov/user/qeqv-5cis",
        "@type": "Organization",
        "name": "QAF6@cdc.gov"
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      "modified": "2026-09-10",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/tt3f-rr33/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tt3f-rr33",
          "mediaType": "text/csv",
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          "accessURL": "https://data.cdc.gov/d/tt3f-rr33",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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          "accessURL": "https://data.cdc.gov/d/tt3f-rr33",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19 State, Tribal, Local, and Territorial Funding - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/tt3f-rr33",
        "description": "COVID-19 State, Tribal, Local, and Territorial Funding - Dataset Home",
        "issued": "2021-06-02",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/qeqv-5cis",
            "@type": "Organization",
            "name": "QAF6@cdc.gov"
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        ]
      },
      "bureauCode": [
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      ],
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Vibriosis",
      "description": "NNDSS - Table II.  Vibriosis - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ttj2-zsyk",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "wonder",
        "2018",
        "nndss",
        "vibriosis",
        "netss",
        "nedss"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ttj2-zsyk/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ttj2-zsyk",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ttj2-zsyk/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ttj2-zsyk",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "accessURL": "https://data.cdc.gov/api/views/ttj2-zsyk/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ttj2-zsyk/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ttj2-zsyk",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Vibriosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ttj2-zsyk",
        "description": "NNDSS - Table II. Vibriosis - Dataset Home",
        "issued": "2019-01-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
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      },
      "bureauCode": [
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      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease",
      "description": "NNDSS - Table 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ttjk-6u2v",
      "contactPoint": [
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          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
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        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
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        "arboviral diseases",
        "2019",
        "anthrax",
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        "nndss",
        "neuroinvasive and non-neuroinvasive",
        "netss",
        "nedss",
        "chikungunya virus disease"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "mediaType": "application/json",
          "modified": "2026-09-09",
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          }
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ttjk-6u2v/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ttjk-6u2v",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ttjk-6u2v",
        "description": "NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
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      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality",
      "description": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Since [INSERT DATE], XXX influenza-associated pediatric deaths occurring during the 2017-18 season have been reported.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/tv5g-74as",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nndss",
        "2019",
        "hepatitis c",
        "influenza-associated pediatric mortality",
        "nedss",
        "netss",
        "perinatal infection",
        "wonder"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tv5g-74as/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tv5g-74as",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tv5g-74as/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tv5g-74as",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/tv5g-74as/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tv5g-74as/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tv5g-74as",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/tv5g-74as/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/tv5g-74as",
        "description": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "DASH – School Health Profiles (Profiles) 2022",
      "description": "2022 School Health Profiles (Profiles) Dataset. Profiles is a system of surveys assessing school health policies and practices in states, school districts, territories, and tribes.  Profiles surveys are conducted biennially by education and health agencies among middle and high school principals and lead health education teachers. Profiles monitors the current status of school health education requirements and content, physical education and physical activity, practices related to bullying and sexual harassment, school health policies related to tobacco-use prevention and nutrition, school-based health and mental health services, family engagement and community involvement, and school health coordination.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/twtn-mxqy",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DASH Public Inquiries",
          "hasEmail": "mailto:nccddashinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/6thr-55du",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "profiles",
        "school",
        "school health",
        "principal",
        "teacher",
        "health",
        "survey",
        "youth"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/twtn-mxqy/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/twtn-mxqy",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/twtn-mxqy/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/twtn-mxqy",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/twtn-mxqy/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/twtn-mxqy/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/twtn-mxqy",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/twtn-mxqy/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "DASH – School Health Profiles (Profiles) 2022 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/twtn-mxqy",
        "description": "DASH – School Health Profiles (Profiles) 2022 - Dataset Home",
        "issued": "2025-05-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/6thr-55du",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Cumulative Influenza Vaccination Coverage by Age Group, Race/Ethnicity, Urbanicity and Jurisdiction, NIS-ACM, Adults 18 Years and Older - NIS ACM",
      "description": "Cumulative Influenza Vaccination Coverage by Age Group, Race/Ethnicity, Urbanicity and Jurisdiction, NIS-ACM, Adults 18 Years and Older, United States, National Immunization Survey-Adult COVID Module. Archived data are available at the following locations: \n1. https://data.cdc.gov/resource/8dyx-9z99 \n2. https://data.cdc.gov/resource/3myw-4j4q\n\n• The National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ty79-wym3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "influenza",
        "vaccine coverage",
        "vaccination",
        "adults",
        "coverage",
        "flu vaccination"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ty79-wym3/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ty79-wym3",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ty79-wym3/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ty79-wym3",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ty79-wym3/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ty79-wym3/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ty79-wym3",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ty79-wym3/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Cumulative Influenza Vaccination Coverage by Age Group, Race/Ethnicity, Urbanicity and Jurisdiction, NIS-ACM, Adults 18 Years and Older - NIS ACM - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ty79-wym3",
        "description": "Cumulative Influenza Vaccination Coverage by Age Group, Race/Ethnicity, Urbanicity and Jurisdiction, NIS-ACM, Adults 18 Years and Older - NIS ACM - Dataset Home",
        "issued": "2022-12-01",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States, District of Columbia, US Virgin Islands, and Puerto Rico"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "U.S. State and Territorial Public Mask Mandates From April 8, 2020 through August 15, 2021 by State by Day",
      "description": "State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when members of the public in states and territories were subject to state and territorial executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require them to wear masks in public. “Members of the public” are defined as individuals operating in a personal capacity. “In public” is defined to mean either (1) anywhere outside the home or (2) both in retail businesses and in restaurants/food establishments. Data consists exclusively of state and territorial orders.\n\nThese data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require individuals to wear masks in public found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program, and Max Gakh, Assistant Professor, School of Public Health, University of Nevada, Las Vegas from April 8, 2020 through  August 15, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the dates provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not include data on counties that have opted out of their state mask mandate pursuant to state law. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/tzyy-aayg",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Craig Kassinger",
          "hasEmail": "mailto:cak8@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/4zyv-yjue",
        "@type": "Organization",
        "name": "Environmental Public Health Tracking"
      },
      "keyword": [
        "proclamation",
        "public health order",
        "social distancing",
        "covid",
        "covid-19",
        "executive order",
        "government order",
        "legal epidemiology",
        "mask mandates",
        "masks",
        "mitigation"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tzyy-aayg/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tzyy-aayg",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tzyy-aayg/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tzyy-aayg",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/tzyy-aayg/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/tzyy-aayg/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/tzyy-aayg",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/tzyy-aayg/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "U.S. State and Territorial Public Mask Mandates From April 8, 2020 through August 15, 2021 by State by Day - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/tzyy-aayg",
        "description": "U.S. State and Territorial Public Mask Mandates From April 8, 2020 through August 15, 2021 by State by Day - Dataset Home",
        "issued": "2021-09-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/4zyv-yjue",
            "@type": "Organization",
            "name": "Environmental Public Health Tracking"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Biomechanical Analysis of the Effects of Knee Savers on Knee Joint Loading During High Knee-Flexion Tasks",
      "description": "Occupational activities that require high knee flexion, such as kneeling and squatting, are associated with a higher prevalence of knee osteoarthritis (OA). It is generally accepted that excessive contact pressures in the joint may cause degeneration of healthy knee joints. Ailments in the patellofemoral (PF) joint were a common cause for knee pain in clinical observations. Knee savers have been used in sports and occupational activities to protect the knee joints during tasks involving high knee flexion. The biomechanics of the effects of knee savers on musculoskeletal loading have not been investigated. The purpose of the current study was two-fold: first was to develop a biomechanical model that accounts for the effects of the interface contact forces between thigh and leg, or between thigh-leg and knee savers; and second was to evaluate, using the biomechanical modeling, the effects of knee savers on musculoskeletal loading in the knee joint in high knee-flexion tasks. The biomechanical model was used to analyze the basic comfort and fitting tests of knee savers: the subjects to start from a standing posture, squat down to a working posture, and return to the standing posture, while subjects’ heels remained on the ground during the tasks. The tasks were repeated without and with knee savers. The musculoskeletal loadings in the knees were calculated using inverse dynamic modeling. Our results indicated that the wearing of knee savers in the high knee-flexion tasks helped to reduce the contact forces in the PF joint by about 20%. Our findings suggest that wearing knee savers may help reduce the risks of the knee OA for workers who are frequently required to perform high knee-flexion tasks for extended time.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/u287-dqd4",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Physical Effects Research Branch (PERB), Health Effects Laboratory Division (HELD), National Institute for Occupational Safety and Health",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/u287-dqd4/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/u287-dqd4",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Biomechanical Analysis of the Effects of Knee Savers on Knee Joint Loading During High Knee-Flexion Tasks - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/u287-dqd4",
        "description": "Biomechanical Analysis of the Effects of Knee Savers on Knee Joint Loading During High Knee-Flexion Tasks - Dataset Home",
        "issued": "2025-11-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic",
      "description": "NNDSS - TABLE 1Z. Pertussis to Poliomyelitis, paralytic - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/u2nj-bus9",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "pertussis",
        "nndss",
        "paralytic",
        "wonder",
        "2022",
        "nedss",
        "netss",
        "poliomyelitis",
        "plague"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/u2nj-bus9/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/u2nj-bus9",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/u2nj-bus9/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/u2nj-bus9",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/u2nj-bus9/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/u2nj-bus9/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/u2nj-bus9",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/u2nj-bus9/columns.xml",
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      "@type": "Dataset",
      "title": "CDC PRAMStat Data for 2003",
      "description": "2003. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
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        "infant health",
        "contraception",
        "breastfeeding",
        "alcohol use",
        "mental health",
        "abuse",
        "morbidity",
        "obesity",
        "preconception health",
        "pregnancy history",
        "prenatal care",
        "reproductive health",
        "sleep behavior",
        "smoke exposure",
        "stress",
        "tobacco use",
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        "wic"
      ],
      "modified": "2026-09-22",
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        "downloadURL": "https://chronicdata.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2003/u76f-m89e"
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      "title": "NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b",
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      ],
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        "@type": "Document",
        "title": "NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b - Dataset Home",
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        "description": "NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease, Age <5 years, Serotype b - Dataset Home",
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      "description": "NNDSS - TABLE 1N. Haemophilus influenzae, invasive disease, (age <5 years), Non-b serotype to Unknown serotype - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html\r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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    },
    {
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      "description": "NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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        "description": "NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable - Dataset Home",
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      "description": "2001. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
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        "reproductive health",
        "prenatal care",
        "abuse",
        "medicaid",
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        "infant health",
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      "landingPage": {
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        "accessURL": "https://data.cdc.gov/d/u93h-quup",
        "description": "CDC PRAMStat Data for 2001 - Dataset Home",
        "issued": "2023-07-18",
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    {
      "@type": "Dataset",
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      "description": "This dataset is no longer being updated as of May 12, 2023.",
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    {
      "@type": "Dataset",
      "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2017-2019",
      "description": "2017 to 2019, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
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        "counties",
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        "accessURL": "https://data.cdc.gov/d/ua33-yiiu",
        "description": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2017-2019 - Dataset Home",
        "issued": "2021-05-14",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/a7ta-3b7u",
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    },
    {
      "@type": "Dataset",
      "title": "2013-2014 PHAP Associates by State",
      "description": "The map illustrates the total number of 2013 and 2014 PHAP associates in each state and U.S. territory.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/uarv-cqnu",
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          "accessURL": "https://data.cdc.gov/d/uarv-cqnu",
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        "title": "2013-2014 PHAP Associates by State - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/uarv-cqnu",
        "description": "2013-2014 PHAP Associates by State - Dataset Home",
        "issued": "2015-03-17",
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    },
    {
      "@type": "Dataset",
      "title": "Rates and Trends in Hypertension-related Cardiovascular Disease Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019",
      "description": "This dataset documents rates and trends in local hypertension-related cardiovascular disease (CVD) death rates. Specifically, this report presents county (or county equivalent) estimates of hypertension-related CVD death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35–64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indian/Alaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (female, male). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/uc9k-vc2j",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHDSP Requests",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/a7ta-3b7u",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "heart",
        "county",
        "counties",
        "cardiovascular disease",
        "cardiovascular",
        "heart disease"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uc9k-vc2j/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uc9k-vc2j",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uc9k-vc2j/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uc9k-vc2j",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/uc9k-vc2j/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uc9k-vc2j/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uc9k-vc2j",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/uc9k-vc2j/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Rates and Trends in Hypertension-related Cardiovascular Disease Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/uc9k-vc2j",
        "description": "Rates and Trends in Hypertension-related Cardiovascular Disease Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019 - Dataset Home",
        "issued": "2022-02-08",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/a7ta-3b7u",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Monthly Cumulative Number and Percent of Persons Who Received ≥1 Influenza Vaccination Doses, by Flu Season, Age Group, and Jurisdiction",
      "description": "Monthly Cumulative Number and Percent of Persons Who Received ≥1 Influenza Vaccination Doses, by Flu Season, Age Group, and Jurisdiction\n\n• Influenza vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group. More information about the IIS can be found at https://www.cdc.gov/vaccines/programs/iis/about.html.\n\n• Influenza vaccination coverage estimate numerators include the number of people receiving at least one dose of influenza vaccine in a given flu season, based on information that state, territorial, and local public health agencies report to CDC. Some jurisdictions’ data may include data submitted by tribes. Estimates include persons who are deceased but received a vaccination during the current season. People receiving doses are attributed to the jurisdiction in which the person resides unless noted otherwise. Quality and completeness of data may vary across jurisdictions. Influenza vaccination coverage denominators are obtained from 2020 U.S. Census Bureau population estimates.\n\n• Monthly estimates shown are cumulative, reflecting all persons vaccinated from July through a given month of that flu season. Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.\n\n• Because IIS data contain all vaccinations administered within a jurisdiction rather than a sample, standard errors were not calculated and statistical testing for differences in estimates across years were not performed.\n\n• Laws and policies regarding the submission of vaccination data to an IIS vary by state, which may impact the completeness of vaccination coverage reflected for a jurisdiction. More information on laws and policies are found at https://www.cdc.gov/vaccines/programs/iis/policy-legislation.html.\n\n• Coverage estimates based on IIS data are expected to differ from National Immunization Survey (NIS) estimates for children (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-coverage-race.html)\nand adults (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-adult-coverage.html) because NIS estimates are based on a sample that may not be representative after survey weighting and vaccination status is determined by survey respondent rather than vaccine records or administrations, and quality and completeness of IIS data may vary across jurisdictions. In general, NIS estimates tend to overestimate coverage due to overreporting and IIS estimates may underestimate coverage due to incompleteness of data in certain jurisdictions.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/udwr-3en6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "flu vaccination",
        "vaccination coverage",
        "immunization information system",
        "iis"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/udwr-3en6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/udwr-3en6",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/udwr-3en6/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/udwr-3en6",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/udwr-3en6/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/udwr-3en6/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/udwr-3en6",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/udwr-3en6/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Monthly Cumulative Number and Percent of Persons Who Received ≥1 Influenza Vaccination Doses, by Flu Season, Age Group, and Jurisdiction - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/udwr-3en6",
        "description": "Monthly Cumulative Number and Percent of Persons Who Received ≥1 Influenza Vaccination Doses, by Flu Season, Age Group, and Jurisdiction - Dataset Home",
        "issued": "2024-02-01",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "Jurisdictions - States, District of Columbia, Islands, and US cities"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/uggs-hy5q",
      "identifier": "https://data.cdc.gov/api/views/uggs-hy5q",
      "title": "Provisional COVID-19 Deaths by Place of Death and State",
      "description": "Effective June 28, 2023, this dataset will no longer be updated. Data deaths by place of death are available in this dataset https://data.cdc.gov/NCHS/d/4va6-ph5s.\n\nDeaths involving  COVID-19, pneumonia and influenza reported to NCHS by place of death and state, United States.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Provisional COVID-19 Deaths by Place of Death and State",
          "description": "Effective June 28, 2023, this dataset will no longer be updated. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/uggs-hy5q",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Provisional COVID-19 Deaths by Place of Death and State",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Assessment of dermal sensitization by nickel salts in a novel humanized TLR-4 mouse model",
      "description": "Nickel is one of the most common contact allergens worldwide. Despite this prevalence, many of the underlying immunological mechanisms responsible for nickel allergy remain unclear. This knowledge gap is partially attributable to the inherent resistance of laboratory rodents (mice and rats) to dermal sensitization with nickel salts. The fundamental goal of this study was to assess the potential utility of the novel humanized Toll-like receptor-4 (hTLR-4) mouse model for use in future in vivo studies of nickel allergy. Accordingly, hTLR-4 positive and negative mice of both sexes were first incorporated into a Local Lymph Node Assay (LLNA) to evaluate dermal sensitization following topical exposure to soluble nickel salts (NiSO4). The ensuing immune responses were then characterized further by incorporating female and male hTLR-4 positive mice into a non-radioactive endpoint-based assay. Utilizing the same exposure scheme as in the LLNA, mice were euthanized following exposure and the auricular lymph nodes, spleen, and blood were collected to assess various immunological parameters associated with allergy and ACD.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/uhs4-vv7g",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Allergy and Clinical Immunology Branch, Health Effects Laboratory Division",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/uhs4-vv7g/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/uhs4-vv7g",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Assessment of dermal sensitization by nickel salts in a novel humanized TLR-4 mouse model - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/uhs4-vv7g",
        "description": "Assessment of dermal sensitization by nickel salts in a novel humanized TLR-4 mouse model - Dataset Home",
        "issued": "2024-12-09",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2021 Final Assisted Reproductive Technology (ART) Services and Profiles",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinic’s contact information, location, the medical director’s name, and summary statistics.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ui6g-vumy",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ARTINFO",
          "hasEmail": "mailto:ARTINFO@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/rxfz-prji",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "success rates",
        "services",
        "infertility",
        "fertility",
        "clinic",
        "assisted reproductive technology",
        "art"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://data.cdc.gov/dataset/2021-Final-Assisted-Reproductive-Technology-ART-Se/ui6g-vumy"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ui6g-vumy/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ui6g-vumy",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ui6g-vumy/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ui6g-vumy",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ui6g-vumy/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ui6g-vumy/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ui6g-vumy",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ui6g-vumy/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ui6g-vumy/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ui6g-vumy",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ui6g-vumy/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ui6g-vumy",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ui6g-vumy/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ui6g-vumy",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "2021 Final Assisted Reproductive Technology (ART) Services and Profiles - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ui6g-vumy",
        "description": "2021 Final Assisted Reproductive Technology (ART) Services and Profiles - Dataset Home",
        "issued": "2024-12-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/rxfz-prji",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Health conditions among male workers in mining and other industries reliant on manual labor occupations: National Health Interview Survey, 2007–2018",
      "description": "The National Health Interview Survey (NHIS) is an annual cross-sectional survey that collects information on a broad range of health topics; it was developed by the National Center for Health Statistics (NCHS) and is currently administered by the U.S. Census Bureau. NHIS datasets for the years 2007–2018 were combined to ensure an adequate sample size to study currently working male miners. During 2007–2018, the NHIS included four core modules. The Family and Sample Adult core modules were used in the study. The Family core module collected health and sociodemographic information on each member of each family within the household. The Sample Adult core module collected health and industry and occupation information for the randomly chosen sample adult from each household interviewed.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ujph-mgrh",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Spokane Mining Research Division—Miner Health Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/ujph-mgrh/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/ujph-mgrh",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Health conditions among male workers in mining and other industries reliant on manual labor occupations: National Health Interview Survey, 2007–2018 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ujph-mgrh",
        "description": "Health conditions among male workers in mining and other industries reliant on manual labor occupations: National Health Interview Survey, 2007–2018 - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Daily Census Tract-Level PM2.5 Concentrations, 2006-2010",
      "description": "This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2006-2010. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\n\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\n\nBy using these data, you signify your agreement to comply with the following requirements:\n1. Use the data for statistical reporting and analysis only.\n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.\n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.\n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.\n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.\n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ujra-cbx5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Craig Kassinger",
          "hasEmail": "mailto:cak8@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/4zyv-yjue",
        "@type": "Organization",
        "name": "cak8@cdc.gov"
      },
      "keyword": [
        "air pollution",
        "environmental health",
        "particulate matter",
        "pm2.5",
        "asthma"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ujra-cbx5/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ujra-cbx5",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ujra-cbx5/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ujra-cbx5",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ujra-cbx5/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ujra-cbx5/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ujra-cbx5",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ujra-cbx5/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Daily Census Tract-Level PM2.5 Concentrations, 2006-2010 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ujra-cbx5",
        "description": "Daily Census Tract-Level PM2.5 Concentrations, 2006-2010 - Dataset Home",
        "issued": "2020-05-29",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/4zyv-yjue",
            "@type": "Organization",
            "name": "cak8@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "4,4’-Methylene Diphenyl Diisocyanate Exposure Induces Expression of Alternatively Activated Macrophage-Associated Markers and Chemokines Partially Through Krüppel-Like Factor 4 Mediated Signaling in Macrophages",
      "description": "Exposure to 4,4’-methylene diphenyl diisocyanate (MDI), the most widely used monomeric diisocyanate, in the occupational setting may lead to the development of occupational asthma (OA). Currently, the underlying molecular mechanism(s) by which MDI induces OA remain an active area of research. Alveolar macrophage dysfunctions play important roles in asthma pathogenesis. Upon exposure to outside stimuli, macrophages are polarized into either classically activated (M1) or alternatively activated (M2) phenotypes. Macrophage polarization is associated with asthma development where M2 macrophage populations are usually pronounced in lungs of asthmatic patients. Recent in vivo studies demonstrated that M2 macrophage associated markers and chemokines were induced by MDI exposure, indicating that MDI may induce M2 macrophage polarization; however, the underling molecular mechanism(s) by which MDI causes induction of M2 associated markers and chemokines is unclear. M2 macrophage polarization can be regulated by activation of several M2 associated transcription factors; however, whether MDI exposure regulates these transcription factors is unknown. We hypothesize that MDI exposure induces M2 macrophage associate markers and chemokines through upregulation of M2 macrophage-associated transcription factors in macrophages. The first aim of this study is to verify whether MDI-exposure can induce M2 macrophage-associated markers and chemokine expression that were observed in previous studies and to identify candidate M2 macrophage-associated transcription factors in response to MDI exposure that may account for the M2 macrophage polarization. After identification of the candidate transcription factor(s) that can be regulated by MDI-exposure, we investigate the roles of the candidate transcription factor in regulation of these candidate M2 macrophage associate markers and chemokines in relation to the exposure to MDI.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/uk9u-uv8c",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Allergy and Clinical Immunology Branch (ACIB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/uk9u-uv8c/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/uk9u-uv8c",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "4,4’-Methylene Diphenyl Diisocyanate Exposure Induces Expression of Alternatively Activated Macrophage-Associated Markers and Chemokines Partially Through Krüppel-Like Factor 4 Mediated Signaling in Macrophages - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/uk9u-uv8c",
        "description": "4,4’-Methylene Diphenyl Diisocyanate Exposure Induces Expression of Alternatively Activated Macrophage-Associated Markers and Chemokines Partially Through Krüppel-Like Factor 4 Mediated Signaling in Macrophages - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and Second Booster Dose",
      "description": "Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status.\nClick 'More' for important dataset description and footnotes\n\nDataset and data visualization details:\nThese data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022. \n\nVaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected.\nAdditional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type.\n** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group.\nDeaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis.\nParticipating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ukww-au2k",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vaccine Breakthrough Unit, Surveillance and Analytics Team",
          "hasEmail": "mailto:vbtsurveillance@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/s8dk-zt6d",
        "@type": "Organization",
        "name": "CDC"
      },
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ukww-au2k/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ukww-au2k",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ukww-au2k/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ukww-au2k",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ukww-au2k/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ukww-au2k/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ukww-au2k",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ukww-au2k/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and Second Booster Dose - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ukww-au2k",
        "description": "Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and Second Booster Dose - Dataset Home",
        "issued": "2022-06-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/s8dk-zt6d",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "Select US Jurisdictions"
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:038"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Vaccinations in the United States,Jurisdiction",
      "description": "Overall US COVID-19 Vaccine deliveries and administration data at national and jurisdiction level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities. ",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/unsk-b7fc",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/3suw-ciyu",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "izdl",
        "coronavirus",
        "covid-19",
        "administration",
        "age",
        "immunization",
        "vaccination"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/unsk-b7fc/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/unsk-b7fc",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/unsk-b7fc/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/unsk-b7fc",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/unsk-b7fc/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/unsk-b7fc/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/unsk-b7fc",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/unsk-b7fc/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19 Vaccinations in the United States,Jurisdiction - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/unsk-b7fc",
        "description": "COVID-19 Vaccinations in the United States,Jurisdiction - Dataset Home",
        "issued": "2023-02-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/3suw-ciyu",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-12-13",
          "endDate": "2023-05-12"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Evaluation of Propylene Glycol Methyl Ether as a Potential Challenge Agent for Leak Detection of Liquid and Headspace from Closed System Drug Transfer Devices using Fourier Transform Infrared Spectroscopy",
      "description": "Measurement of vapors from solutions containing propylene glycol methyl ether (PGME) released inside a closed chamber were evaluated. Data used to quantify limits of detection, limits of quantification, bias, precision, and accuracy of Fourier Transform Infrared Spectroscopy (FTIR) measurements of vapors from 2.5 M PGME solutions are presented. The effects of ethanol as a component of the PGME solution were also evaluated. Liquid drops of PGME solutions and headspace vapors above PGME solutions were released to simulate leaks from Closed System Drug-Transfer Devices (CSTD)s. Using a calibration apparatus, an instrumental LOD of 0.25 ppmv and a LOQ of 0.8 ppmv were determined for PGME vapor. A LOD of 1.1 µL and a LOQ of 3.5 µL was determined for liquid aliquots of 2.5 M PGME solution released in the NIOSH chamber. Accurate quantitation of liquid leaks required complete evaporation of droplets. With the upper end of the usable quantitation range limited by slow evaporation of relatively large droplets and the lower end defined by the method LOQ, the method has a narrow quantitative range for liquid droplets. Displacement of 45 mL of vial headspace containing PGME vapor is the largest amount expected when using the draft NIOSH testing protocol. Release of an unfiltered 45 mL headspace aliquot within the NIOSH chamber was calculated to produce a concentration of 0.8 ppmv based on the Henry’s constant, which is right at the instrumental LOQ.  Therefore, the sensitivity of the method was not adequate to determine leaks of PGME vapor from a headspace release through an air filtering CSTD when using the draft NIOSH testing protocols with an FTIR analyzer.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/unxy-rdyx",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Chemical and Biochemical Monitoring Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/unxy-rdyx/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/unxy-rdyx",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Evaluation of Propylene Glycol Methyl Ether as a Potential Challenge Agent for Leak Detection of Liquid and Headspace from Closed System Drug Transfer Devices using Fourier Transform Infrared Spectroscopy - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/unxy-rdyx",
        "description": "Evaluation of Propylene Glycol Methyl Ether as a Potential Challenge Agent for Leak Detection of Liquid and Headspace from Closed System Drug Transfer Devices using Fourier Transform Infrared Spectroscopy - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "National Immunization Survey Child COVID Module (NIS-CCM): COVIDVaxViews| Data | Centers for Disease Control and Prevention (cdc.gov)-Archived",
      "description": "National Immunization Survey Child COVID Module (NIS-CCM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data.  These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/uny6-e3dx",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "nis-ccm",
        "immunization",
        "covid-19 vaccination",
        "vaccine confidence",
        "vaccination coverage",
        "vaccination",
        "covid-19",
        "vaxviews"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uny6-e3dx/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uny6-e3dx",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uny6-e3dx/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uny6-e3dx",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/uny6-e3dx/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uny6-e3dx/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uny6-e3dx",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/uny6-e3dx/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Immunization Survey Child COVID Module (NIS-CCM): COVIDVaxViews| Data | Centers for Disease Control and Prevention (cdc.gov)-Archived - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/uny6-e3dx",
        "description": "National Immunization Survey Child COVID Module (NIS-CCM): COVIDVaxViews| Data | Centers for Disease Control and Prevention (cdc.gov)-Archived - Dataset Home",
        "issued": "2022-06-16",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "National"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Percent of Pregnant Women Ages 18-49 Years Vaccinated with Respiratory Syncytial Virus (RSV) Vaccine Overall and by Race and Ethnicity",
      "description": "Weekly RSV Vaccination Coverage, Pregnant Women 18-49 Years Old by Race and Ethnicity  \n\nWeekly RSV vaccination coverage estimates for pregnant women 18–49 years are based on electronic health record (EHR) data from the Vaccine Safety Datalink (VSD), a collaboration between CDC's Immunization Safety Office and multiple integrated health care organizations.* \n\nThe denominator includes those who reached at least 32 weeks' gestation since September 1, 2025. The numerator includes those who have received an RSV vaccine during pregnancy as of the week ending date. Pregnant women are not removed from the numerator or denominator when the pregnancy ends. Cumulative vaccination coverage for one week may be lower than cumulative coverage for a previous week due to the addition of pregnant women in the denominator. Additionally, no requirements for length of enrollment in a VSD site are applied, and vaccinations given outside of a VSD site might not be included.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/uqxy-gepz",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "rsv vaccination",
        "vsd",
        "nis-acm",
        "iqvia",
        "iis"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uqxy-gepz/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uqxy-gepz",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uqxy-gepz/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uqxy-gepz",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/uqxy-gepz/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uqxy-gepz/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uqxy-gepz",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/uqxy-gepz/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Percent of Pregnant Women Ages 18-49 Years Vaccinated with Respiratory Syncytial Virus (RSV) Vaccine Overall and by Race and Ethnicity - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/uqxy-gepz",
        "description": "Weekly Percent of Pregnant Women Ages 18-49 Years Vaccinated with Respiratory Syncytial Virus (RSV) Vaccine Overall and by Race and Ethnicity - Dataset Home",
        "issued": "2024-10-02",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Development of a thermal spray coating aerosol generator and inhalation exposure system",
      "description": "Thermal spray coating involves spraying a product that is melted by extremely high temperatures and then applied under pressure under pressure onto a surface. Large amounts of a complex metal aerosol (e.g., Fe, Cr, Ni, Zn) are formed during the process, presenting a potentially serious risk to the operator. Information about the health effects associated with exposure to these aerosols is lacking. Even less is known about the chemical and physical properties of these aerosols. The goal was to develop and test an automated thermal spray coating aerosol generator and inhalation exposure system that would simulate workplace exposures. An electric arc wire- thermal spray coating aerosol generator and exposure system was designed and separated into two areas: (A) an enclosed room where the spray coating occurs; (B) an exposure chamber with different measurement devices and controllers. The physicochemical properties of aerosols generated during electric arc wire- thermal spray coating using five different consumable wires were examined. The generated particles regardless of composition were poorly soluble, complex metal oxides and mostly arranged as chain-like agglomerates and similar in size distribution as determined by MOUDI and ELPI. To allow for continuous, sequential spray coating during a 4-hr exposure period, a motor rotated the metal pipe to be coated in a circular and up-and-down direction. In a pilot animal study, male Sprague-Dawley rats were exposed to aerosols (25 mg/m3 x 4 hr/d x 9 d) generated from electric arc wire- thermal spray coating using a stainless-steel PMET720 consumable wire. The targeted exposure chamber concentration was achieved and maintained during a 4-hr period. At 1 d after exposure, lung injury and inflammation were significantly elevated in the group exposed to the thermal spray coating aerosol compared to the air control group. A thermal spray coating inhalation system was designed and constructed that will generate continuous metal spray coating aerosols at a targeted concentration for extended periods of time without interruption for future animal exposure studies.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ur6f-kidn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Pathology and Physiology Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/ur6f-kidn/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/ur6f-kidn",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Development of a thermal spray coating aerosol generator and inhalation exposure system - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ur6f-kidn",
        "description": "Development of a thermal spray coating aerosol generator and inhalation exposure system - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human",
      "description": "NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/usyq-s7ip",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "animal",
        "nndss",
        "netss",
        "nedss",
        "human",
        "rabies",
        "2019",
        "wonder"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/usyq-s7ip/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/usyq-s7ip",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/usyq-s7ip/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/usyq-s7ip",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/usyq-s7ip/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/usyq-s7ip/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/usyq-s7ip",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/usyq-s7ip/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/usyq-s7ip",
        "description": "NNDSS - TABLE 1CC. Rabies, Animal to Rabies, Human - Dataset Home",
        "issued": "2019-04-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC Text Corpora for Learners: HTML Mirrors of MMWR, EID, and PCD",
      "description": "The attached ZIP archives are part of the <a href=\"https://github.com/cmheilig/harvest-cdc-journals\">CDC Text Corpora for Learners</a> program. This version, comprised of 33,567 articles, was constructed on 2024-03-01 using source content retrieved on 2024-01-09. \n\nThe attached three ZIP archives contain the 33,567  articles in 33,576 compiled HTML mirrors of the MMWR <a href=\"https://www.cdc.gov/mmwr/\">Morbidity and Mortality Weekly Report</a> including its series: <i>Weekly Reports</i>, <i>Recommendations and Reports</i>, <i>Surveillance Summaries</i>, <i>Supplements</i>, and <i>Notifiable Diseases</i>, a subset of <i>Weekly Reports</i>, constructed ad hoc; EID <a href=\"https://www.cdc.gov/eid/\">Emerging Infectious Diseases</a>; and PCD <a href=\"https://www.cdc.gov/pcd/\">Preventing Chronic Disease</a>.There is one archive per series. The archive attachments are located in the <i>About this Dataset</i> section of this landing page. In that section when you click Show More, the attachments are located in the section <i>Attachments</i>.\n\nThe retrieval and organization of the files included making as few changes to raw sources as possible, to support as many downstream uses as possible.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ut5n-bmc3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCSTLTPHIW(PHIC) Associate Director of Informatics and Data Science",
          "hasEmail": "mailto:ahamm@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/4kqv-26ep",
        "@type": "Organization",
        "name": "Alan Hamm"
      },
      "keyword": [
        "phic",
        "text analysis",
        "pcd",
        "nlp",
        "ncstltphiw",
        "morphology",
        "mmwr",
        "ml",
        "machine learning",
        "llm",
        "linguistic",
        "language",
        "informatics",
        "harvest-cdc-journals",
        "eid",
        "data science",
        "corpus",
        "corpora",
        "ai",
        "semantic"
      ],
      "modified": "2026-09-23",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://github.com/cmheilig/harvest-cdc-journals?tab=readme-ov-file#cdc-text-corpora-for-learners"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ut5n-bmc3/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ut5n-bmc3",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ut5n-bmc3/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ut5n-bmc3",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ut5n-bmc3/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ut5n-bmc3/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ut5n-bmc3",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ut5n-bmc3/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC Text Corpora for Learners: HTML Mirrors of MMWR, EID, and PCD - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ut5n-bmc3",
        "description": "CDC Text Corpora for Learners: HTML Mirrors of MMWR, EID, and PCD - Dataset Home",
        "issued": "2024-03-20",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/4kqv-26ep",
            "@type": "Organization",
            "name": "Alan Hamm"
          }
        ]
      },
      "license": "http://creativecommons.org/publicdomain/zero/1.0/legalcode",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute",
      "description": "NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Data from California published in week 29 for years 2019 and 2020 were incomplete when originally published on July 24, 2020. On August 4, 2020, incomplete case counts were replaced with a \"U\" indicating case counts are not available for specified time period. \n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/uu9i-eu7y",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "hepatitis (viral acute) type b",
        "2020",
        "hemolytic uremic syndrome post-diarrheal",
        "hepatitis (viral acute) type a",
        "nndss",
        "netss",
        "nedss",
        "wonder"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uu9i-eu7y/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uu9i-eu7y",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uu9i-eu7y/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uu9i-eu7y",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/uu9i-eu7y/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uu9i-eu7y/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uu9i-eu7y",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/uu9i-eu7y/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uu9i-eu7y/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uu9i-eu7y",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uu9i-eu7y/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uu9i-eu7y",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uu9i-eu7y/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uu9i-eu7y",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/uu9i-eu7y",
        "description": "NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Place Data (GIS Friendly Format), 2022 release",
      "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/uuui-fh3m",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "city",
        "health",
        "prevention",
        "place",
        "outcomes",
        "gis",
        "status",
        "risk",
        "places",
        "prevalence",
        "behaviors"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uuui-fh3m/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uuui-fh3m",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uuui-fh3m/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uuui-fh3m",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/uuui-fh3m/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uuui-fh3m/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uuui-fh3m",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/uuui-fh3m/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uuui-fh3m/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uuui-fh3m",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uuui-fh3m/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uuui-fh3m",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/uuui-fh3m/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/uuui-fh3m",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Place Data (GIS Friendly Format), 2022 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/uuui-fh3m",
        "description": "PLACES: Place Data (GIS Friendly Format), 2022 release - Dataset Home",
        "issued": "2023-06-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome",
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        "description": "NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome - Dataset Home",
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    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States (ARCHIVED)",
      "description": "Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States\n\n- Since 2019, CDC has been exploring use of data obtained from (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices. These data are being presented publicly for the first time this season; further evaluations of these data are underway.\n\n- The pharmacy data include flu vaccinations that were billed for (i.e. claims) or paid by cash. Medical office data are claims based.\n\n- The sampled pharmacies and physician medical offices and the captured volume of transactions represent approximately 92% and 82% of influenza vaccines administered nationally, respectively.\n\n- Vaccinations administered in other settings such as workplaces and community settings are not included in these data.\n\n- Weekly Number of Influenza Vaccinations Administered, in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States, Data Source(s): IQVIA Pharmacy and Physician Medical Office Claims.",
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        "@type": "Document",
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        "accessURL": "https://data.cdc.gov/d/uxwq-vny5",
        "description": "Active Bacterial Core surveillance (ABCs) Haemophilus influenzae - Dataset Home",
        "issued": "2021-06-23",
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    },
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      "title": "DQS Obesity in children and adolescents aged 2–19 years, by selected characteristics: United States (Archived)",
      "description": "This topic is no longer available in the NCHS Data Query System (DQS). Data on obesity in children and adolescents aged 2-19 years in the United States, by selected characteristics, including sex, age, race, Hispanic origin, and poverty level. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
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      "modified": "2026-07-15",
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        "accessURL": "https://www.cdc.gov/nchs/hus"
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      "inventoried": "2026-09-27"
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      "title": "Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics, Adults 18 Year and Older, NIS Adult COVID Module",
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        "ethnicity"
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        "description": "Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics, Adults 18 Year and Older, NIS Adult COVID Module - Dataset Home",
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    },
    {
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      "description": "2015 to 2017, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke. \nhttp://www.cdc.gov/dhdsp/maps/atlas",
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          "mediaType": "application/vnd.google-earth.kmz",
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        "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2015-2017 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/v246-z5tb",
        "description": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2015-2017 - Dataset Home",
        "issued": "2023-07-14",
        "publisher": [
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            "name": "Centers for Disease Control and Prevention"
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        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
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        "009:20"
      ],
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/v2g4-wqg2",
      "identifier": "https://data.cdc.gov/api/views/v2g4-wqg2",
      "title": "Early Model-based Provisional Estimates of Drug Overdose, Suicide, and Transportation-related Deaths",
      "description": "This dataset provides model-based provisional estimates of the weekly numbers of drug overdose, suicide, and transportation-related deaths using “nowcasting” methods to account for the normal lag between the occurrence and reporting of these deaths. Estimates less than 10 are suppressed. These early model-based provisional estimates were generated using a multi-stage hierarchical Bayesian modeling process to generate smoothed estimates of the weekly numbers of death, accounting for reporting lags. These estimates are based on several assumptions about how the reporting lags have changed in recent months across different jurisdictions, and the resulting estimates differ from other sources of provisional mortality data.  For now, these estimates should be considered highly uncertain until further evaluations can be done to determine the validity of these assumptions about timeliness. The true patterns in reporting lags will not be known until data are finalized, typically 11–12 months after the end of the calendar year. Importantly, these estimates are not a replacement for monthly provisional drug overdose death counts, or quarterly provisional mortality estimates. For more detail about the nowcasting methods and models, see:\n\nRossen LM, Hedegaard H, Warner M, Ahmad FB, Sutton PD. Early provisional estimates of drug overdose, suicide, and transportation-related deaths: Nowcasting methods to account for reporting lags. Vital Statistics Rapid Release; no 11. Hyattsville, MD: National Center for Health Statistics. February 2021. DOI: https://doi.org/10.15620/ cdc:101132",
      "contactPoint": {
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        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
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            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Early Model-based Provisional Estimates of Drug Overdose, Suicide, and Transportation-related Deaths",
          "description": "This dataset provides model-based provisional estimates of the weekly numbers of drug overdose, suicide, and transportation-related deaths using “nowcasting” methods to account for the normal lag between the occurrence and reporting of these deaths. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/v2g4-wqg2",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Early Model-based Provisional Estimates of Drug Overdose, Suicide, and Transportation-related Deaths",
        "accessURL": "https://www.cdc.gov/nchs/nvss/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "National Artesunate for Severe Malaria Program Microscopy Data- April to December 2019",
      "description": "This dataset includes deidentified data on patients receiving artesunate through the National Artesunate for Severe Malaria Program from April- December 2019. \n\nThis dataset contains microscopy data only.\nPlease see the links below for the other datasets and the attached document 'Guide to NASMP Datasets:\nData from Case Report Form- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Cas/igaz-icki\nData on Artesunate Dosing- https://data.cdc.gov/dataset/National-Artesunate-for-Severe-Malaria-Program-Art/qan4-gt4k\nData on Follow-On Dosing- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Fol/g3k9-gyw7\n\nAll data can be easily linked using the ParticipantID field, a unique ID number assigned to each participant.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/v2k9-ctv4",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Francisca Abanyie, MD, MPH",
          "hasEmail": "mailto:why6@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/3ehp-hx5k",
        "@type": "Organization",
        "name": "PWI9@cdc.gov"
      },
      "keyword": [
        "division of parasitic diseases and malaria",
        "artesunate",
        "malaria"
      ],
      "modified": "2026-09-08",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/v2k9-ctv4/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v2k9-ctv4",
          "mediaType": "text/csv",
          "modified": "2026-09-08"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/v2k9-ctv4/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v2k9-ctv4",
          "mediaType": "application/json",
          "modified": "2026-09-08",
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          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v2k9-ctv4/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v2k9-ctv4",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
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            "accessURL": "https://data.cdc.gov/api/views/v2k9-ctv4/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "National Artesunate for Severe Malaria Program Microscopy Data- April to December 2019 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/v2k9-ctv4",
        "description": "National Artesunate for Severe Malaria Program Microscopy Data- April to December 2019 - Dataset Home",
        "issued": "2020-04-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/3ehp-hx5k",
            "@type": "Organization",
            "name": "PWI9@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease",
      "description": "NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease – 2020.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/v2mh-3yzr",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "netss",
        "nndss",
        "wonder",
        "nedss",
        "eastern equine encephalitis virus disease",
        "chikungunya virus disease",
        "arboviral diseases",
        "anthrax",
        "2020"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/v2mh-3yzr/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v2mh-3yzr",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/v2mh-3yzr/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v2mh-3yzr",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/v2mh-3yzr/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v2mh-3yzr",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v2mh-3yzr/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v2mh-3yzr",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v2mh-3yzr/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v2mh-3yzr",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v2mh-3yzr/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v2mh-3yzr",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/v2mh-3yzr",
        "description": "NNDSS - TABLE 1A. Anthrax to Arboviral diseases, Eastern equine encephalitis virus disease - Dataset Home",
        "issued": "2020-01-17",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Provider Relief Fund & Accelerated and Advance Payments",
      "description": "We are releasing data that compares the HHS Provider Relief Fund and the CMS Accelerated and Advance Payments by State and provider as of May 15, 2020.  This data is already available on other websites, but this chart brings the information together into one view for comparison.  You can find additional information on the Accelerated and Advance Payments at the following links: \n\nFact Sheet: https://www.cms.gov/files/document/Accelerated-and-Advanced-Payments-Fact-Sheet.pdf; \n\nZip file on providers in each state: https://www.cms.gov/files/zip/accelerated-payment-provider-details-state.zip\n\nMedicare Accelerated and Advance Payments State-by-State information and by Provider Type: https://www.cms.gov/files/document/covid-accelerated-and-advance-payments-state.pdf.\n\nThis file was assembled by HHS via CMS, HRSA and reviewed by leadership and compares the HHS Provider Relief Fund and the CMS Accelerated and Advance Payments by State and provider as of December 4, 2020.  \n\nHHS Provider Relief Fund \nPresident Trump is providing support to healthcare providers fighting the coronavirus disease 2019 (COVID-19) pandemic through the bipartisan Coronavirus Aid, Relief, & Economic Security Act and the Paycheck Protection Program and Health Care Enhancement Act, which provide a total of $175 billion for relief funds to hospitals and other healthcare providers on the front lines of the COVID-19 response. This funding supports healthcare-related expenses or lost revenue attributable to COVID-19 and ensures uninsured Americans can get treatment for COVID-19. HHS is distributing this Provider Relief Fund money and these payments do not need to be repaid.\nThe Department allocated $50 billion of the Provider Relief Fund for general distribution to Medicare facilities and providers impacted by COVID-19, based on eligible providers' net reimbursement. It allocated another $22 billion to providers in areas particularly impacted by the COVID-19 outbreak, rural providers, and providers who serve low-income populations and uninsured Americans.  HHS will be allocating the remaining funds in the near future.\n  \nAs part of the Provider Relief Fund distribution, all providers have 45 days to attest that they meet certain criteria to keep the funding they received, including public disclosure.  As of May 15, 2020, there has been a total of $34 billion in attested payments.  The chart only includes those providers that have attested to the payments by that date.  We will continue to update this information and add the additional providers and payments once their attestation is complete. \n\nCMS Accelerated and Advance Payments Program\nOn March 28, 2020, to increase cash flow to providers of services and suppliers impacted by the coronavirus disease 2019 (COVID-19) pandemic, the Centers for Medicare & Medicaid Services (CMS) expanded the Accelerated and Advance Payment Program to a broader group of Medicare Part A providers and Part B suppliers. Beginning on April 26, 2020, CMS stopped accepting new applications for the Advance Payment Program, and CMS began reevaluating all pending and new applications for Accelerated Payments in light of the availability of direct payments made through HHS’s Provider Relief Fund.\n\nSince expanding the AAP program on March 28, 2020, CMS approved over 21,000 applications totaling $59.6 billion in payments to Part A providers, which includes hospitals, through May 18, 2020. For Part B suppliers—including doctors, non-physician practitioners and durable medical equipment suppliers— during the same time period, CMS approved almost 24,000 applications advancing $40.4 billion in payments. The AAP program is not a grant, and providers and suppliers are required to repay the loan.\n\nCMS has published AAP data, as required by the Continuing Appropriations and Other Extensions Act of 2021, on this website: https://www.cms.gov/files/document/covid-medicare-accelerated-and-advance-payments-program-covid-19-public-health-emergency-payment.pdf",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/v2pi-w3up",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Megan Worstell",
          "hasEmail": "mailto:HIGLASServiceDesk@gdit.com"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/tjyw-xtku",
        "@type": "Organization",
        "name": "HHS ASPA"
      },
      "keyword": [
        "cares act",
        "covid-19",
        "accelerated and advance payments",
        "provider relief fund",
        "coronavirus"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v2pi-w3up/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v2pi-w3up",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v2pi-w3up/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v2pi-w3up",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/v2pi-w3up/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v2pi-w3up/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v2pi-w3up",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "accessURL": "https://data.cdc.gov/api/views/v2pi-w3up/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Provider Relief Fund & Accelerated and Advance Payments - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/v2pi-w3up",
        "description": "Provider Relief Fund & Accelerated and Advance Payments - Dataset Home",
        "issued": "2020-05-21",
        "publisher": [
          {
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            "@type": "Organization",
            "name": "HHS ASPA"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly COVID-19 cases among persons ≥5 years old among unvaccinated and vaccinated with a BNT162b2 (Pfizer-BioNTech) primary series by age group — 22 U.S. jurisdictions, January 16 to May 28, 2022",
      "description": "Reported numbers of SARS-CoV-2 infections by age group (5–11, 12–17, 18–49, 50–64, ≥65 years of age) from 22 U.S. jurisdictions (AR, AZ, CA, CO, CT, DC, FL, GA, IN, KS, MI, MA, MN, NC, NE, NJ, NM, NYC, PHL, TN, UT, WI ); ~53% of the U.S. population) with routine linkages between COVID-19 case surveillance and immunization information system (IIS) data reported to CDC during January 16, 2022 – May 28, 2022. \nVaccine administration (coverage) data reported to CDC were aggregated by U.S. reporting jurisdiction, MMWR week of vaccination (≥14 days after completing the primary vaccine series), FDA-approved vaccine products, and age group (5–11, 12–17, 18–49, 50–64, ≥65 years). \nVaccination status: A person vaccinated with at least a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing BNT162b2 (Pfizer-BioNTech) primary series. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. \nTo estimate the number of unvaccinated persons in each MMWR week, the 2019 U.S. Census population estimates by jurisdiction and age group were used (except for California, where State Department of Finance 2021 population projections were determined to be more accurate). The number of unvaccinated persons each MMWR week was estimated by subtracting the cumulative number of vaccinated (all products) and partially vaccinated persons (all products) from the respective population totals for each jurisdiction and age group. \nContinuity correction: A continuity correction has been applied to the denominators by capping the percent population coverage at 95%. To do this, we assumed that at least 5% of each age group would always be unvaccinated in each jurisdiction. Adding this correction ensures that there is always a reasonable denominator for the unvaccinated population that would prevent rates from growing unrealistically large due to potential overestimates of vaccination coverage.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/v2zw-2d2v",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Maya Sternberg",
          "hasEmail": "mailto:vbtsurveillance@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vrm4-tddy",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "covid-19 breakthrough",
        "covid-19 cases",
        "covid-19 vaccination"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/v2zw-2d2v/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v2zw-2d2v",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/v2zw-2d2v/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v2zw-2d2v",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/v2zw-2d2v/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/v2zw-2d2v/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v2zw-2d2v",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly COVID-19 cases among persons ≥5 years old among unvaccinated and vaccinated with a BNT162b2 (Pfizer-BioNTech) primary series by age group — 22 U.S. jurisdictions, January 16 to May 28, 2022 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/v2zw-2d2v",
        "description": "Weekly COVID-19 cases among persons ≥5 years old among unvaccinated and vaccinated with a BNT162b2 (Pfizer-BioNTech) primary series by age group — 22 U.S. jurisdictions, January 16 to May 28, 2022 - Dataset Home",
        "issued": "2023-08-02",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vrm4-tddy",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "Select US Jurisdictions"
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:031"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "HAICViz - MuGSI",
      "description": "<p>The healthcare-associated infection component of CDC’s <a href=\"https://www.cdc.gov/ncezid/dpei/eip/index.html\" target=\"_blank\">EIP</a> engages a <a href=\"https://www.cdc.gov/ncezid/dpei/eip/eip-sites.html\" target=\"_blank\">network</a> of state health departments and their academic medical center partners to help answer critical questions about emerging HAI threats, advanced infection tracking methods, and antibiotic resistance in the United States. Information gathered through this activity will play a key role in shaping future policies and recommendations targeting HAI prevention. </p>",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/v4tm-h8pe",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "HAIC",
          "hasEmail": "mailto:erib@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/djr3-fkrm",
        "@type": "Organization",
        "name": "MuGSI"
      },
      "keyword": [
        "healthcare-associated infection",
        "surveillance",
        "klebsiella spp.",
        "escherichia coli",
        "antimicrobial resistance",
        "haicviz",
        "carbapenem-resistant acinetobacter baumannii",
        "carbapenem-resistant enterobacterales",
        "enterobacter spp."
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v4tm-h8pe/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v4tm-h8pe",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v4tm-h8pe/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v4tm-h8pe",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/v4tm-h8pe/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v4tm-h8pe/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v4tm-h8pe",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/v4tm-h8pe/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "HAICViz - MuGSI - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/v4tm-h8pe",
        "description": "HAICViz - MuGSI - Dataset Home",
        "issued": "2021-06-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/djr3-fkrm",
            "@type": "Organization",
            "name": "MuGSI"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Respiratory Conditions Treated in the Emergency Department",
      "description": "Methods for Creating Respiratory Conditions:\n\nThe International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) discharge diagnostic codes listed in the Acute Respiratory Index (ARI) were used as a starting point to define respiratory conditions. For a list of diagnostic codes included in the ARI metric, visit the <a href=\"https://cdn.ymaws.com/www.cste.org/resource/resmgr/pdfs/CDC_Broad_Acute_Respiratory_.pdf\">Acute Respiratory Illness Technical Brief</a>.\n\nThese codes were further refined to exclude pathogen-specific codes and, when appropriate, were grouped using ICD-10-CM parent codes and <a href=\"https://hcup-us.ahrq.gov/toolssoftware/ccsr/ccs_refined.jsp#overview\">Clinical Classifications Software Refined (CCSRs)</a> categories, which organize ICD-10-CM codes into 14 clinically meaningful categories.\n\nShort codes listed capture all codes underneath them (e.g., J09 includes J09.X1–J09.X9).\n\nFindings for each of the 14 condition categories were analyzed by age group.\n\nSource: National Syndromic Surveillance Program (NSSP)\n\nThe NSSP is a collaboration among CDC, local and state health departments, and private sector partners. Together, these partners collect, share, and analyze automated electronic healthcare data in near-real time.\n\nNational data include emergency departments in all 50 states, the District of Columbia, and Guam. View the <a href=\"https://www.cdc.gov/nssp/media/images/2024/04/Participation-with-date.png\">Coverage Map</a>.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/v58w-vynu",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Syndromic Surveillance Program",
          "hasEmail": "mailto:nssp@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/uwfi-yirr",
        "@type": "Organization",
        "name": "rjx2@cdc.gov"
      },
      "keyword": [
        "bacteria",
        "ari other",
        "ed data",
        "ncird",
        "ophdst",
        "respiratory-virus-response",
        "rvr",
        "virus"
      ],
      "modified": "2026-09-18",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v58w-vynu/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v58w-vynu",
          "mediaType": "text/csv",
          "modified": "2026-09-18"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v58w-vynu/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v58w-vynu",
          "mediaType": "application/json",
          "modified": "2026-09-18",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/v58w-vynu/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v58w-vynu/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v58w-vynu",
          "mediaType": "application/xml",
          "modified": "2026-09-18",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/v58w-vynu/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Respiratory Conditions Treated in the Emergency Department - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/v58w-vynu",
        "description": "Respiratory Conditions Treated in the Emergency Department - Dataset Home",
        "issued": "2025-08-08",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/uwfi-yirr",
            "@type": "Organization",
            "name": "rjx2@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/v5gm-kvkn",
      "identifier": "https://data.cdc.gov/api/views/v5gm-kvkn",
      "title": "Health, United States",
      "description": "Health, United States  is the report on the health status of the country. Every year, the report presents an overview of national health trends organized around four subject areas: health status and determinants, utilization of health resources, health care resources, and health care expenditures and payers.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Health, United States",
          "description": "Health, United States is the report on the health status of the country. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/v5gm-kvkn",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Health, United States",
        "accessURL": "https://www.cdc.gov/nchs/hus/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Daily Census Tract-Level PM2.5 Concentrations, 2001-2005",
      "description": "This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\n\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\n\nBy using these data, you signify your agreement to comply with the following requirements:\n1. Use the data for statistical reporting and analysis only.\n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.\n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.\n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.\n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.\n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/v5qq-ktfc",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Craig Kassinger",
          "hasEmail": "mailto:cak8@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/4zyv-yjue",
        "@type": "Organization",
        "name": "cak8@cdc.gov"
      },
      "keyword": [
        "particulate matter",
        "environmental health",
        "asthma",
        "air pollution",
        "pm2.5"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v5qq-ktfc/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v5qq-ktfc",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v5qq-ktfc/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v5qq-ktfc",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/v5qq-ktfc/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v5qq-ktfc/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v5qq-ktfc",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/v5qq-ktfc/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Daily Census Tract-Level PM2.5 Concentrations, 2001-2005 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/v5qq-ktfc",
        "description": "Daily Census Tract-Level PM2.5 Concentrations, 2001-2005 - Dataset Home",
        "issued": "2020-05-22",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/4zyv-yjue",
            "@type": "Organization",
            "name": "cak8@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/v6ab-adf5",
      "identifier": "https://data.cdc.gov/api/views/v6ab-adf5",
      "title": "NCHS - Childhood Mortality Rates",
      "description": "This dataset of U.S. mortality trends since 1900 highlights childhood mortality rates by age group for age at death.\n\nAge-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below).\n\nAge groups for childhood death rates are based on age at death.\n\nSOURCES\n\nCDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).\n\nREFERENCES\n\n1. National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm.\n\n2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.\n\n3. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf.\n\n4. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf.\n\n5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Childhood Mortality Rates",
          "description": "This dataset of U.S. mortality trends since 1900 highlights childhood mortality rates by age group for age at death. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/v6ab-adf5",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Childhood Mortality Rates",
        "accessURL": "https://www.cdc.gov/nchs/data-visualization/mortality-trends/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Effects of whole-body vibration on reproductive physiology in a rat model",
      "description": "Workers in a number of sectors including Transportation, Warehousing and Utilities, Construction, Agriculture, Forestry’s and Fisheries and Mining are regularly exposed to whole-body vibration (WBV) while driving large transportation or earth moving vehicles or while using large vibrating tools such as chain saws or rock drills.  Exposure to WBV has been associated with an increased risk for neck and back pain.  However, the findings of other studies have suggested that occupational exposure to WBV may also serve as a risk factor for the development of a number of diseases such as cardiovascular disease and cancer.  In addition, it may result in pre-term births and preclampsia in women and interfere with normal reproductive physiology in both men and women.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/v6bq-c4f3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Physical Effects Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/v6bq-c4f3/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/v6bq-c4f3",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Effects of whole-body vibration on reproductive physiology in a rat model - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/v6bq-c4f3",
        "description": "Effects of whole-body vibration on reproductive physiology in a rat model - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/v728-xui5",
      "identifier": "https://data.cdc.gov/api/views/v728-xui5",
      "title": "DQS NHIS Functioning difficulties Footnotes",
      "description": "List of footnotes, notes, and source information for NHIS Functioning Difficulties Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NHIS Functioning Difficulties Dataset.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS NHIS Functioning difficulties Footnotes",
          "description": "List of footnotes, notes, and source information for NHIS Functioning Difficulties Statistics. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/v728-xui5",
          "modified": "2026-01-26"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-01-26",
      "landingPage": {
        "@type": "Document",
        "title": "DQS NHIS Functioning difficulties Footnotes",
        "accessURL": "https://data.cdc.gov/d/v728-xui5"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Daily Census Tract-Level Ozone Concentrations, 2001-2005",
      "description": "This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\n\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\n\nBy using these data, you signify your agreement to comply with the following requirements:\n1. Use the data for statistical reporting and analysis only.\n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.\n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.\n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.\n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.\n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/v76h-zdce",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Craig Kassinger",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/4zyv-yjue",
        "@type": "Organization",
        "name": "cak8@cdc.gov"
      },
      "keyword": [
        "ozone",
        "asthma",
        "air pollution",
        "environmental health"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v76h-zdce/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v76h-zdce",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v76h-zdce/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v76h-zdce",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/v76h-zdce/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/v76h-zdce/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/v76h-zdce",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/v76h-zdce/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Daily Census Tract-Level Ozone Concentrations, 2001-2005 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/v76h-zdce",
        "description": "Daily Census Tract-Level Ozone Concentrations, 2001-2005 - Dataset Home",
        "issued": "2020-06-01",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/4zyv-yjue",
            "@type": "Organization",
            "name": "cak8@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/v7tk-n6v3",
      "identifier": "https://data.cdc.gov/api/views/v7tk-n6v3",
      "title": "DQS NHANES Select Infectious Diseases Prevalence Estimates",
      "description": "These data represent prevalence estimates of select infectious diseases from the National Health and Nutrition Examination Survey (NHANES). This version of the NHANES dataset is specific to visualization within the NCHS DQS.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS NHANES Select Infectious Diseases Prevalence Estimates",
          "description": "These data represent prevalence estimates of select infectious diseases from the National Health and Nutrition Examination Survey (NHANES). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/v7tk-n6v3",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS NHANES Select Infectious Diseases Prevalence Estimates",
        "accessURL": "https://www.cdc.gov/nchs/nhanes/visualization/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/va5e-efw9",
      "identifier": "https://data.cdc.gov/api/views/va5e-efw9",
      "title": "DQS Hypertension in adults age 20 and older, by selected characteristics: United States.",
      "description": "Data on hypertension in adults age 20 and older in the United States, by selected characteristics. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Hypertension in adults age 20 and older, by selected characteristics: United States.",
          "description": "Data on hypertension in adults age 20 and older in the United States, by selected characteristics. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/va5e-efw9",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Hypertension in adults age 20 and older, by selected characteristics: United States.",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elevated muscle mass accompanied by transcriptional and nuclear alterations several months following cessation of resistance-type training in rats",
      "description": "Loading-induced hypertrophy with transcriptional upregulation has been observed concomitant with nuclei accretion in various studies regarding both humans and rodents.   Bruusgaard et al. in 2010 pioneered work utilizing a model of synergist ablation to cause hypertrophy followed by denervation-induced atrophy to demonstrate that load-induced gains in myonuclei could be long-lasting after the termination of such exposure.  This finding was consistent with the idea of enduring myonuclear accretion as a form of “muscle memory” allowing enhanced muscle adaptation following a period of detraining.  Subsequent research groups further investigated this possibility in the context of exercise utilizing rodents and various loaded exercise paradigms such as weighted wheel running and ladder climbing.  This research yielded a spectrum of results.  While these studies were instrumental in highlighting the variation in outcomes possible following load-induced hypertrophy in general, they were limited in their direct relatedness to resistance training – the predominate form of exposure utilized to induce hypertrophy.  Our research group has established and repeatedly validated a rat research model to investigate resistance-type training.   The model is based on using a dynamometer to precisely expose dorsiflexor muscles of rats to 8 sets of 10 repetitions (per set) of stretch-shortening contractions (SSCs) – a consecutive sequence of isometric, lengthening, and shortening contractions.  Training with this exposure 3 sessions per week for one month results in increases in muscle mass and performance.  This is accompanied by an increase in muscle fiber area accompanied by a proportional increase in myonuclei number and a rise in overall transcriptional output as measured by total RNA levels.  The purpose of the present study was to determine to what extent alterations in performance, muscle mass, nuclei number, and transcriptional output persist several months following the termination of this relevant and valid model of resistance-type training.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vagq-bwyc",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Toxicology and Molecular Biology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/vagq-bwyc/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/vagq-bwyc",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elevated muscle mass accompanied by transcriptional and nuclear alterations several months following cessation of resistance-type training in rats - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vagq-bwyc",
        "description": "Elevated muscle mass accompanied by transcriptional and nuclear alterations several months following cessation of resistance-type training in rats - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Nutrition, Physical Activity, and Obesity - Youth Risk Behavior Surveillance System",
      "description": "This dataset includes data on adolescent's diet, physical activity, and weight status from Youth Risk Behavior Surveillance System (YRBSS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about YRBSS visit https://www.cdc.gov/healthyyouth/data/yrbs/index.htm.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vba9-s8jp",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DNPAO Public Inquiries",
          "hasEmail": "mailto:dnpaoinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/8kpq-utgy",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "soda",
        "yrbss",
        "vegetables",
        "tv",
        "physical activity",
        "overweight",
        "obesity",
        "fruit",
        "dnpao",
        "adolescents"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-Youth-Risk/vba9-s8jp"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vba9-s8jp/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vba9-s8jp",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vba9-s8jp/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vba9-s8jp",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vba9-s8jp/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vba9-s8jp/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vba9-s8jp",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vba9-s8jp/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vba9-s8jp/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vba9-s8jp",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vba9-s8jp/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vba9-s8jp",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vba9-s8jp/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vba9-s8jp",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Nutrition, Physical Activity, and Obesity - Youth Risk Behavior Surveillance System - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vba9-s8jp",
        "description": "Nutrition, Physical Activity, and Obesity - Youth Risk Behavior Surveillance System - Dataset Home",
        "issued": "2025-01-30",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/8kpq-utgy",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Case Surveillance Public Use Data",
      "description": "<b>Note:</b>\nReporting of new COVID-19 Case Surveillance data will be discontinued July 1, 2024, to align with the process of removing SARS-CoV-2 infections (COVID-19 cases) from the list of nationally notifiable diseases. Although these data will continue to be publicly available, the dataset will no longer be updated.  \n\nAuthorizations to collect certain public health data expired at the end of the U.S. public health emergency declaration on May 11, 2023. The following jurisdictions discontinued COVID-19 case notifications to CDC: Iowa (11/8/21), Kansas (5/12/23), Kentucky (1/1/24), Louisiana (10/31/23), New Hampshire (5/23/23), and Oklahoma (5/2/23). Please note that these jurisdictions will not routinely send new case data after the dates indicated. As of 7/13/23, case notifications from Oregon will only include pediatric cases resulting in death.\n\n\nThis case surveillance public use dataset has 12 elements for all COVID-19 cases shared with CDC and includes demographics, any exposure history, disease severity indicators and outcomes, presence of any underlying medical conditions and risk behaviors, and no geographic data.\n\n<h4><b>CDC has three COVID-19 case surveillance datasets:</b></h4><ul><li><a href=\"https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data-with-Ge/n8mc-b4w4\">COVID-19 Case Surveillance Public Use Data with Geography</a>: Public use, patient-level dataset with clinical data (including symptoms), demographics, and county and state of residence. (19 data elements)</li><li><a href=\"https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf\">COVID-19 Case Surveillance Public Use Data</a>: Public use, patient-level dataset with clinical and symptom data and demographics, with no geographic data. (12 data elements)</li><li><a href=\"https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Restricted-Access-Detai/mbd7-r32t\">COVID-19 Case Surveillance Restricted Access Detailed Data</a>: Restricted access, patient-level dataset with clinical and symptom data, demographics, and state and county of residence. Access requires a registration process and a data use agreement. (33 data elements)</li></ul>\n\nThe following apply to all three datasets:\n<ul><li>Data elements can be found on the COVID-19 case report form located at <a href=\"https://www.cdc.gov/coronavirus/2019-ncov/downloads/pui-form.pdf\">www.cdc.gov/coronavirus/2019-ncov/downloads/pui-form.pdf</a>.</li><li>Data are considered provisional by CDC and are subject to change until the data are reconciled and verified with the state and territorial data providers.</li><li>Some data cells are suppressed to protect individual privacy.</li><li>The datasets will include all cases with the earliest date available in each record (date received by CDC or date related to illness/specimen collection) at least 14 days prior to the creation of the current datasets. This 14-day lag allows case reporting to be stabilized and ensures that time-dependent outcome data are accurately captured.</li><li>Datasets are updated monthly.</li><li>Datasets are created using CDC’s <a href=\"https://www.cdc.gov/grants/additional-requirements/ar-25.html\">Policy on Public Health Research and Nonresearch Data Management and Access</a> and include protections designed to protect individual privacy.</li><li>For more information about data collection and reporting, please see <a href=\"https://www.cdc.gov/coronavirus/2019-ncov/covid-data/about-us-cases-deaths.html\">https://www.cdc.gov/coronavirus/2019-ncov/covid-data/about-us-cases-deaths.html.</a></li><li>For more information about the COVID-19 case surveillance data, please see <a href=\"https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html\"> https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html</a><br></li></ul>\n\n<h4><b>Overview</b></h4>\n\nThe COVID-19 case surveillance database includes individual-level data reported to U.S. states and aut",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vbim-akqf",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC-INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "covid19",
        "covid",
        "coronavirus",
        "cases",
        "surveillance",
        "ncird-corvd",
        "covid-19"
      ],
      "modified": "2026-09-23",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://data.cdc.gov/api/views/vbim-akqf/files/0eb0e326-d1bd-42a3-a748-acc6d6663326?download=true&filename=data_dictionary_covid_cases_public.xlsx"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vbim-akqf/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vbim-akqf",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vbim-akqf/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vbim-akqf",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vbim-akqf/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vbim-akqf/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vbim-akqf",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vbim-akqf/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19 Case Surveillance Public Use Data - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vbim-akqf",
        "description": "COVID-19 Case Surveillance Public Use Data - Dataset Home",
        "issued": "2020-12-31",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/vc9m-u7tv",
      "identifier": "https://data.cdc.gov/api/views/vc9m-u7tv",
      "title": "NCHS - Injury Mortality: United States (vc9m-u7tv)",
      "description": "This dataset describes injury mortality in the United States beginning in 1999. Two concepts are included in the circumstances of an injury death: intent of injury and mechanism of injury. Intent of injury describes whether the injury was inflicted purposefully (intentional injury) and, if purposeful, whether the injury was self-inflicted (suicide or self-harm) or inflicted by another person (homicide). Injuries that were not purposefully inflicted are considered unintentional (accidental) injuries. Mechanism of injury describes the source of the energy transfer that resulted in physical or physiological harm to the body.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Injury Mortality: United States (vc9m-u7tv)",
          "description": "This dataset describes injury mortality in the United States beginning in 1999. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/vc9m-u7tv",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Injury Mortality: United States (vc9m-u7tv)",
        "accessURL": "https://www.cdc.gov/nchs/nvss/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Question Inventory on Tobacco (QIT)",
      "description": "1965, 1966, 1970, 1974-2015, 2017. Centers for Disease Control and Prevention (CDC). Office on Smoking and Health (OSH). Survey Questions (Tobacco Use). The QIT is a compilation of more than 7,000 historical tobacco-related survey questions from various state, national and international surveys.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vdgb-f9s3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "office on smoking and health",
        "survey questions",
        "osh",
        "qit",
        "tobacco"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vdgb-f9s3/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vdgb-f9s3",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vdgb-f9s3/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vdgb-f9s3",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vdgb-f9s3/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vdgb-f9s3/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vdgb-f9s3",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vdgb-f9s3/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Question Inventory on Tobacco (QIT) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vdgb-f9s3",
        "description": "Question Inventory on Tobacco (QIT) - Dataset Home",
        "issued": "2019-02-27",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/vdpk-qzpr",
      "identifier": "https://data.cdc.gov/api/views/vdpk-qzpr",
      "title": "NCHS - Potentially Excess Deaths from the Five Leading Causes of Death",
      "description": "MMWR Surveillance Summary 66 (No. SS-1):1-8 found that nonmetropolitan areas have significant numbers of potentially excess deaths from the five leading causes of death. These figures accompany this report by presenting information on potentially excess deaths in nonmetropolitan and metropolitan areas at the state level. They also add additional years of data and options for selecting different age ranges and benchmarks.\n\nPotentially excess deaths are defined in MMWR Surveillance Summary 66(No. SS-1):1-8 as deaths that exceed the numbers that would be expected if the death rates of states with the lowest rates (benchmarks) occurred across all states. They are calculated by subtracting expected deaths for specific benchmarks from observed deaths.\n\nNot all potentially excess deaths can be prevented; some areas might have characteristics that predispose them to higher rates of death. However, many potentially excess deaths might represent deaths that could be prevented through improved public health programs that support healthier behaviors and neighborhoods or better access to health care services.\n\nMortality data for U.S. residents come from the National Vital Statistics System. Estimates based on fewer than 10 observed deaths are not shown and shaded yellow on the map.\n\nUnderlying cause of death is based on the International Classification of Diseases, 10th Revision (ICD-10)\n\nHeart disease (I00-I09, I11, I13, and I20–I51)\nCancer (C00–C97)\nUnintentional injury (V01–X59 and Y85–Y86)\nChronic lower respiratory disease (J40–J47)\nStroke (I60–I69)\nLocality (nonmetropolitan vs. metropolitan) is based on the Office of Management and Budget’s 2013 county-based classification scheme.\n\nBenchmarks are based on the three states with the lowest age and cause-specific mortality rates.\n\nPotentially excess deaths for each state are calculated by subtracting deaths at the benchmark rates (expected deaths) from observed deaths.\n\nUsers can explore three benchmarks:\n\n“2010 Fixed” is a fixed benchmark based on the best performing States in 2010.\n“2005 Fixed” is a fixed benchmark based on the best performing States in 2005.\n“Floating” is based on the best performing States in each year so change from year to year.\n\nSOURCES\n\nCDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).\n\nREFERENCES\n\n1. Moy E, Garcia MC, Bastian B, Rossen LM, Ingram DD, Faul M, Massetti GM, Thomas CC, Hong Y, Yoon PW, Iademarco MF. Leading Causes of Death in Nonmetropolitan and Metropolitan Areas – United States, 1999-2014. MMWR Surveillance Summary 2017; 66(No. SS-1):1-8.\n\n2. Garcia MC, Faul M, Massetti G, Thomas CC, Hong Y, Bauer UE, Iademarco MF. Reducing Potentially Excess Deaths from the Five Leading Causes of Death in the Rural United States. MMWR Surveillance Summary 2017; 66(No. SS-2):1–7.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Potentially Excess Deaths from the Five Leading Causes of Death",
          "description": "MMWR Surveillance Summary 66 (No. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/vdpk-qzpr",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Potentially Excess Deaths from the Five Leading Causes of Death",
        "accessURL": "https://www.cdc.gov/nchs/data-visualization/potentially-excess-deaths/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Infant Protection Against Respiratory Syncytial Virus (RSV) by Maternal RSV Vaccination or Receipt of Nirsevimab, and Intent for Nirsevimab Receipt, United States",
      "description": "Infant Protection Against RSV by Maternal RSV Vaccination or Receipt of Nirsevimab and Intent for Nirsevimab Receipt, Reported by Females Aged 18-49 Years Who Have an Infant <8 Months During the RSV Season (born since April 1, 2024)\n\nMonthly estimates of infant protection against RSV by maternal RSV vaccination or receipt of nirsevimab, as well as intent for nirsevimab receipt, were calculated using data from the from the National Immunization Survey–Adult COVID Module (NIS–ACM). (https://www.cdc.gov/nis/about/index.html). Data were reported by adult females aged 18-49 years with infants under the age of 8 months during the RSV season (born since April 1, 2024). The NIS–ACM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. All estimates are based upon parent-reported receipt of nirsevimab.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vdz4-qrri",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "vsd",
        "iis",
        "nis-acm",
        "nis-flu",
        "rsv vaccination",
        "iqvia"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vdz4-qrri/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vdz4-qrri",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vdz4-qrri/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vdz4-qrri",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vdz4-qrri/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vdz4-qrri/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vdz4-qrri",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vdz4-qrri/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Infant Protection Against Respiratory Syncytial Virus (RSV) by Maternal RSV Vaccination or Receipt of Nirsevimab, and Intent for Nirsevimab Receipt, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vdz4-qrri",
        "description": "Infant Protection Against Respiratory Syncytial Virus (RSV) by Maternal RSV Vaccination or Receipt of Nirsevimab, and Intent for Nirsevimab Receipt, United States - Dataset Home",
        "issued": "2025-02-11",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Hospital Respiratory Admission Levels and Rates by Jurisdiction, National Healthcare Safety Network (NHSN)",
      "description": "This dataset provides weekly hospital admission rates and corresponding admission levels for COVID-19, influenza (flu), and respiratory syncytial virus (RSV), aggregated to national and state/territory levels. Each row represents a single jurisdiction (national, state/territory) and reporting week (Sunday through Saturday). \n\nData are derived from CDC’s National Healthcare Safety Network (NHSN) Hospital Respiratory Data (HRD), which collect information reported by U.S. acute care and critical access hospitals on laboratory-confirmed COVID-19, influenza, and RSV hospital admissions, and monitors national and local trends in healthcare system stress and capacity. \n\nAdmission rates are calculated per 100,000 population, and admission levels are assigned based on CDC-defined thresholds for each virus. \n\nNew data are appended weekly on Fridays and represent the most recent complete reporting week at the time of publication. Previously published data are not revised or backfilled; all values reflect the data available at the time they were first reported. \n\n<b>Inclusion Criteria and Metric Calculations</b>\n\n<b>Facility types and status:</b> Acute care and critical access hospitals reporting to NHSN are included in the underlying data used to calculate these metrics. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded. Hospitals are included based on active reporting status in NHSN during the applicable reporting week. \n\n<b>Admission counts and rates:</b> Weekly admission counts represent the number of new hospital admissions with laboratory-confirmed COVID-19, influenza, or RSV reported by participating hospitals for the reporting week (Sunday–Saturday). Admission rates are calculated by dividing aggregated admissions by the corresponding jurisdictional population and expressed per 100,000 persons. \n\n<b>Admission levels:</b> Admission levels are categorical indicators (e.g., low, moderate, high, very high) assigned based on CDC-defined thresholds applied to the weekly admission rates for each virus. The thresholds for each pathogen and state can be found online here: <a href=\"https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting/data-methods.html\">https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting/data-methods.html</a>\n\n<b>Reporting considerations:</b> Metrics are based on data submitted by reporting hospitals for a given week and may not represent all hospitals within a jurisdiction. Because previously published data are not revised or backfilled, values reflect the data available at the time of initial reporting.\n\n<b>Source:</b> CDC National Healthcare Safety Network (NHSN).\n\n<b>Notes</b>\n<b>September 18th, 2026:</b> Data for American Samoa (AS) for the September 6th, 2026 through September 12th, 2026 reporting period are not available for the Weekly NHSN Hospital Respiratory Data report released on September 18th, 2026.\n\n<b>September 11th, 2026:</b> Data for American Samoa (AS) for the August 30th, 2026 through September 5th, 2026 reporting period are not available for the Weekly NHSN Hospital Respiratory Data report released on September 11th, 2026.\n\n<b>September 4th, 2026:</b> Data for the American Samoa (AS) and the Commonwealth of the Northern Mariana Islands (CNMI) for the August 23rd, 2026 through August 29th, 2026 reporting period are not available for the Weekly NHSN Hospital Respiratory Data report released on September 4th, 2026. \n\n<b>August 28th, 2026:</b> Data for the American Samoa (AS) and the Commonwealth of the Northern Mariana Islands (CNMI) for the August 16th, 2026 through August 22nd, 2026 reporting period are not available for the Weekly NHSN Hospital Respiratory Data report released on August 28th, 2026.\n\n<b>August 21st, 2026:</b> Data for the American Samoa (AS) and the Commonwealth of the Northern Mariana Islands (CNMI) for the August 9th, 2026 through August 15th, 2026 reporting period are not available for the Weekly NHSN Hospital Respiratory Data report rele",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vdzy-6i9v",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHQP",
          "hasEmail": "mailto:nhsn@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/8jxp-krex",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "respiratory",
        "respiratory syncytial virus",
        "rsv",
        "admissions",
        "coronavirus",
        "covid-19",
        "hospitalizations",
        "influenza"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vdzy-6i9v/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vdzy-6i9v",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vdzy-6i9v/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vdzy-6i9v",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vdzy-6i9v/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vdzy-6i9v/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vdzy-6i9v",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vdzy-6i9v/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Hospital Respiratory Admission Levels and Rates by Jurisdiction, National Healthcare Safety Network (NHSN) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vdzy-6i9v",
        "description": "Weekly Hospital Respiratory Admission Levels and Rates by Jurisdiction, National Healthcare Safety Network (NHSN) - Dataset Home",
        "issued": "2026-05-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/8jxp-krex",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States",
      "description": "Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States\n• Influenza vaccination coverage among children is assessed through the National Immunization Survey-Flu (NIS-Flu) annually, providing weekly influenza vaccination coverage estimates for children 6 months–17 years based upon parental report. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)\no NIS-Flu is a national random-digit-dialed cellular telephone survey of households conducted during the flu season (October-June).\n• Additional information about NIS-Flu methods and estimates from the 2019-2020 season are available at: https://www.cdc.gov/flu/fluvaxview/coverage-1920estimates.htm.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vfj2-bfuw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vax Views",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "vaccine coverage",
        "flu",
        "flu shot",
        "influenza",
        "nis",
        "nis-flu",
        "chlidren"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vfj2-bfuw/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vfj2-bfuw",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vfj2-bfuw/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vfj2-bfuw",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vfj2-bfuw/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vfj2-bfuw/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vfj2-bfuw",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vfj2-bfuw/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vfj2-bfuw",
        "description": "Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States - Dataset Home",
        "issued": "2022-09-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Place Data (GIS Friendly Format), 2025 release",
      "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia —at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey (ACS)  2019-2023 or 2018–2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. These data can be joined with the 2020 Census place boundary file in a GIS system to produce maps for 40 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vgc8-iyc4",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "places",
        "gis",
        "disability",
        "city",
        "prevalence",
        "behaviors",
        "risk",
        "social needs",
        "status",
        "prevention",
        "place",
        "outcomes",
        "health"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vgc8-iyc4/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vgc8-iyc4",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vgc8-iyc4/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vgc8-iyc4",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vgc8-iyc4/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vgc8-iyc4/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vgc8-iyc4",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vgc8-iyc4/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vgc8-iyc4/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vgc8-iyc4",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vgc8-iyc4/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vgc8-iyc4",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vgc8-iyc4/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vgc8-iyc4",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Place Data (GIS Friendly Format), 2025 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vgc8-iyc4",
        "description": "PLACES: Place Data (GIS Friendly Format), 2025 release - Dataset Home",
        "issued": "2024-08-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Influenza Vaccination Coverage for All Ages (6+ Months)",
      "description": "Influenza Vaccination Coverage for All Ages (6+ Months)\n\n• Data on influenza vaccination coverage from the National Immunization Survey-Flu (NIS-Flu) and the Behavioral Risk Factor Surveillance System (BRFSS) for the general population at the national, regional, and state levels by age group and race/ethnicity.\n \n• Additional information available at https://www.cdc.gov/flu/fluvaxview/index.htm",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vh55-3he6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD ISD Assessment Branch",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "NCIRD"
      },
      "keyword": [
        "vaxviews",
        "vaccination coverage",
        "vaccination",
        "influenza coverage",
        "influenza",
        "immunization",
        "flu vaccination"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vh55-3he6/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vh55-3he6",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vh55-3he6/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vh55-3he6",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vh55-3he6/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vh55-3he6/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vh55-3he6",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vh55-3he6/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Influenza Vaccination Coverage for All Ages (6+ Months) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vh55-3he6",
        "description": "Influenza Vaccination Coverage for All Ages (6+ Months) - Dataset Home",
        "issued": "2021-07-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "NCIRD"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Monthly Cumulative Number and Percent of Children <8 Months Who Received 1+ Monoclonal Antibody Doses by Jurisdiction, United States",
      "description": "Monthly Cumulative Percent of Children <8 Months Who Received 1+ Monoclonal Antibody by Jurisdiction, United States. RSV monoclonal antibody coverage for children 0 to 7 months is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group. Monthly estimates shown are cumulative, reflecting all children who received an RSV monoclonal antibody from April 1 through the end of the reporting month.*,† Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vhcj-3k53",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/ktzw-xbup",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "iis",
        "iqvia",
        "vsd",
        "nis-acm",
        "rsv vaccination"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vhcj-3k53/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vhcj-3k53",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vhcj-3k53/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vhcj-3k53",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vhcj-3k53/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vhcj-3k53/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vhcj-3k53",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vhcj-3k53/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Monthly Cumulative Number and Percent of Children <8 Months Who Received 1+ Monoclonal Antibody Doses by Jurisdiction, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vhcj-3k53",
        "description": "Monthly Cumulative Number and Percent of Children <8 Months Who Received 1+ Monoclonal Antibody Doses by Jurisdiction, United States - Dataset Home",
        "issued": "2025-11-12",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/ktzw-xbup",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NSSP Emergency Department Respiratory Daily",
      "description": "NSSP Emergency Department Respiratory Daily. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geographic part of the country that were observed for the given day from data submitted to the National Syndromic Surveillance Program (NSSP).   \n\n\n\nFor additional information, please see: Companion Guide: NSSP Emergency Department Data on Respiratory Illness\n\nWhile the data are stratified by day, updated data are available once per week each Wednesday.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vjzj-u7u8",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Gbedegnon Azondekon",
          "hasEmail": "mailto:nssp@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/xei9-h3sc",
        "@type": "Organization",
        "name": "GBEDEGNON AZONDEKON"
      },
      "keyword": [
        "nssp",
        "respiratory"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vjzj-u7u8/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vjzj-u7u8",
          "mediaType": "text/csv",
          "modified": "2026-09-23"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vjzj-u7u8/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vjzj-u7u8",
          "mediaType": "application/json",
          "modified": "2026-09-23",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vjzj-u7u8/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vjzj-u7u8/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vjzj-u7u8",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/api/views/vjzj-u7u8/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NSSP Emergency Department Respiratory Daily - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vjzj-u7u8",
        "description": "NSSP Emergency Department Respiratory Daily - Dataset Home",
        "issued": "2025-08-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/xei9-h3sc",
            "@type": "Organization",
            "name": "GBEDEGNON AZONDEKON"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:037"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Behavioral Risk Factors – Vision and Eye Health Surveillance",
      "description": "2013-2022. This dataset is a de-identified summary table of vision and eye health data indicators from BRFSS, stratified by all available combinations of age group, race/ethnicity, sex, risk factor and state. BRFSS is a system of telephone surveys conducted by CDC that collect state data about U.S. residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services. BRFSS completes more than 400,000 adult interviews each year across 50 states, the District of Columbia, and three U.S. territories. BRFSS data for VEHSS includes one question from the core component related to Visual Function. Data were suppressed following NCHS standards. Data will be updated as it becomes available. Detailed information on VEHSS BRFSS analyses can be found on the VEHSS BRFSS webpage (link). General information about BRFSS can be found on the BRFSS website (https://www.cdc.gov/brfss). The VEHSS BRFSS dataset was last updated in February 2026.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vkwg-yswv",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DDT Public Inquiries",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "contact lenses",
        "visual function",
        "glasses",
        "brfss"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/d/vkwg-yswv"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vkwg-yswv/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vkwg-yswv",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vkwg-yswv/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vkwg-yswv",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vkwg-yswv/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vkwg-yswv/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vkwg-yswv",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vkwg-yswv/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vkwg-yswv/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vkwg-yswv",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vkwg-yswv/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vkwg-yswv",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vkwg-yswv/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vkwg-yswv",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Behavioral Risk Factors – Vision and Eye Health Surveillance - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vkwg-yswv",
        "description": "Behavioral Risk Factors – Vision and Eye Health Surveillance - Dataset Home",
        "issued": "2025-05-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2014",
      "description": "2014. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use.  These data update Best Practices for Comprehensive Tobacco Control Programs—2007.  Data are reported at total and per capita funding levels. Data include recommended and minimum total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Mass-Reach Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Infrastructure, Administration, and Management.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vm4m-idi8",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "cessation intervention",
        "centers for disease control and prevention",
        "best practices for comprehensive tobacco control programs",
        "best practices",
        "administration and management",
        "tobacco",
        "surveillance and evaluation",
        "state and community interventions",
        "osh",
        "office on smoking and health",
        "health communication interventions"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vm4m-idi8/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vm4m-idi8",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vm4m-idi8/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vm4m-idi8",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vm4m-idi8/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vm4m-idi8/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vm4m-idi8",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vm4m-idi8/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vm4m-idi8/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vm4m-idi8",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vm4m-idi8/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vm4m-idi8",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vm4m-idi8/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vm4m-idi8",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2014 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vm4m-idi8",
        "description": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2014 - Dataset Home",
        "issued": "2023-07-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B",
      "description": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vmgc-uspy",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "wonder",
        "2022",
        "meningococcal disease",
        "nedss",
        "netss",
        "all serogroups",
        "nndss",
        "serogroup b",
        "serogroups acwy"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vmgc-uspy/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vmgc-uspy",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vmgc-uspy/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vmgc-uspy",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vmgc-uspy/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vmgc-uspy/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vmgc-uspy",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vmgc-uspy/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/vmgc-uspy/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vmgc-uspy",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vmgc-uspy/export.kml?accessType=DOWNLOAD",
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          "modified": "2026-09-09"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vmgc-uspy/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vmgc-uspy",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vmgc-uspy",
        "description": "NNDSS - TABLE 1W. Meningococcal disease, All serogroups to Meningococcal disease, Serogroup B - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Influenza Vaccination Coverage by Flu Season, Selected Demographics, and Race and Ethnicity Among Children 6 Months-17 Years, United States",
      "description": "• Weekly Cumulative Influenza Vaccination Coverage by Flu Season, Selected Demographics, and Race and Ethnicity Among 6 Months-17 Years. \n\n• Weekly Influenza vaccination coverage and parental intent for vaccination among children is calculated using data from the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html). NIS–Flu is a national random-digit-dialed cellular telephone survey of households with children ages 6 months–17 years conducted during October-June. The respondent to a NIS–Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.\n\n• The NIS-Flu data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.  ",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vncy-2ds7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "flu vaccination",
        "nis-ccm",
        "nis-flu"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vncy-2ds7/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vncy-2ds7",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vncy-2ds7/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vncy-2ds7",
          "mediaType": "application/json",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/vncy-2ds7/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vncy-2ds7",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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            "title": "Columns for this asset"
          }
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Influenza Vaccination Coverage by Flu Season, Selected Demographics, and Race and Ethnicity Among Children 6 Months-17 Years, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vncy-2ds7",
        "description": "Weekly Cumulative Influenza Vaccination Coverage by Flu Season, Selected Demographics, and Race and Ethnicity Among Children 6 Months-17 Years, United States - Dataset Home",
        "issued": "2025-12-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Selected Trend Table from Health, United States, 2011. Leading causes of death and numbers of deaths, by sex, race, and Hispanic origin: United States, 1980 and 2009",
      "description": "Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vp9c-m6nq",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vr5q-rutf",
        "@type": "Organization",
        "name": "SFranco"
      },
      "keyword": [
        "cause of death",
        "hus"
      ],
      "modified": "2026-08-17",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vp9c-m6nq/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vp9c-m6nq",
          "mediaType": "text/csv",
          "modified": "2026-08-17"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vp9c-m6nq/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vp9c-m6nq",
          "mediaType": "application/json",
          "modified": "2026-08-17",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vp9c-m6nq/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vp9c-m6nq/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vp9c-m6nq",
          "mediaType": "application/xml",
          "modified": "2026-08-17",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vp9c-m6nq/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Selected Trend Table from Health, United States, 2011. Leading causes of death and numbers of deaths, by sex, race, and Hispanic origin: United States, 1980 and 2009 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vp9c-m6nq",
        "description": "Selected Trend Table from Health, United States, 2011. Leading causes of death and numbers of deaths, by sex, race, and Hispanic origin: United States, 1980 and 2009 - Dataset Home",
        "issued": "2013-07-29",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vr5q-rutf",
            "@type": "Organization",
            "name": "SFranco"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Daily Census Tract-Level PM2.5 Concentrations, 2021- 2022",
      "description": "This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2021-2022. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Census tract-level concentration data are available in 5-year periods due to size constraints. This dataset and file will be updated until it is complete to cover 2021-2025. Earlier periods of census-tract data can be found on data.cdc.gov through the search function. \n\nPlease refer to the metadata attachment for more information. Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action. \n\nBy using these data, you signify your agreement to comply with the following requirements: \n1. Use the data for statistical reporting and analysis only. \n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vpk8-vfhm",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Tracking Support",
          "hasEmail": "mailto:trackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/v7jr-fe68",
        "@type": "Organization",
        "name": "DANIEL VINSON"
      },
      "keyword": [
        "environmental health",
        "national ambient air quality standards",
        "national environmental health tracking network",
        "particulate matter",
        "pm2.5",
        "air quality",
        "asthma",
        "air pollution"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vpk8-vfhm/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vpk8-vfhm",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vpk8-vfhm/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vpk8-vfhm",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vpk8-vfhm/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vpk8-vfhm/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vpk8-vfhm",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vpk8-vfhm/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Daily Census Tract-Level PM2.5 Concentrations, 2021- 2022 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vpk8-vfhm",
        "description": "Daily Census Tract-Level PM2.5 Concentrations, 2021- 2022 - Dataset Home",
        "issued": "2026-04-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/v7jr-fe68",
            "@type": "Organization",
            "name": "DANIEL VINSON"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "U.S. states"
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:032"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable",
      "description": "NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vq7a-fvin",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nndss",
        "2021",
        "confirmed",
        "nedss",
        "netss",
        "probable",
        "vibriosis",
        "wonder"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vq7a-fvin/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vq7a-fvin",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vq7a-fvin/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vq7a-fvin",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vq7a-fvin/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vq7a-fvin/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vq7a-fvin",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vq7a-fvin/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vq7a-fvin/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vq7a-fvin",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vq7a-fvin/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vq7a-fvin",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vq7a-fvin/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vq7a-fvin",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vq7a-fvin",
        "description": "NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Decay rate of gas-phase peracetic acid in a polyvinyl fluoride sample bag",
      "description": "In this study the temperature dependent decay rate of gas-phase peracetic acid (PAA) concentrations in polyvinyl fluoride (PVF) sample bags was measured. Headspace from a PAA solution was used to dynamically generate atmospheres of gas-phase PAA which were transferred to PVF bags. The concentration of gas-phase PAA in PVF bags, in a temperature-controlled environment, was measured versus time using both selected ion flow-tube mass spectrometry (SIFT-MS) and impinger based colorimetric measurements. A review of PAA decomposition reactions, kinetics, and results of SIFT-MS measure of PAA and acetic acid are discussed. Gas-phase PAA concentrations in the PVF bags exhibited exponential decay consistent with first-order kinetics. The temperature dependent decay rate of gas-phase PAA concentration in PVF sample bags had half-lives that ranged from 19 h (at 30°C) to 45 h (at 10°C).  From the Arrhenius equation, an activation energy of 34.2±1.1 kJ·mol-1 (8.2±0.3 kcal·mol-1) was calculated from the temperature dependence of the decay constant. In this work, the half-lives of gas-phase PAA concentrations measured in PVF were considerably longer than other studies of PAA in containers.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vqex-u5kb",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Chemical and Biological Monitoring Branch (CBMB), Health Effects Laboratory Division (HELD), National Institute for Occupational Safety and Health (NIOSH)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/vqex-u5kb/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/vqex-u5kb",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Decay rate of gas-phase peracetic acid in a polyvinyl fluoride sample bag - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vqex-u5kb",
        "description": "Decay rate of gas-phase peracetic acid in a polyvinyl fluoride sample bag - Dataset Home",
        "issued": "2025-08-06",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 4 - Atlanta",
      "description": "Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vqff-ff7g",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "cdc",
        "centers for disease control and prevention"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vqff-ff7g/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vqff-ff7g",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vqff-ff7g/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vqff-ff7g",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vqff-ff7g/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vqff-ff7g/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vqff-ff7g",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
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        "@type": "Document",
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        "description": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 4 - Atlanta - Dataset Home",
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      "title": "NNDSS - Table 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease",
      "description": "NNDSS - TABLE 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non U.S. residents.\n\nNotes:\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\nFootnotes:\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.",
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      "description": "2007. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
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        "accessURL": "https://data.cdc.gov/d/vr6p-ert2",
        "description": "CDC PRAMStat Data for 2007 - Dataset Home",
        "issued": "2023-07-18",
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    {
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      "@id": "https://data.cdc.gov/api/views/vsak-wrfu",
      "identifier": "https://data.cdc.gov/api/views/vsak-wrfu",
      "title": "Provisional COVID-19 Deaths by Week, Sex, and Age",
      "description": "Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html).\n\nDeaths involving COVID-19 reported to NCHS by sex and age group and week ending date.",
      "contactPoint": {
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        "fn": "National Center for Health Statistics",
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        "name": "National Center for Health Statistics (NCHS)",
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      "distribution": [
        {
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          "title": "Provisional COVID-19 Deaths by Week, Sex, and Age",
          "description": "Effective June 28, 2023, this dataset will no longer be updated. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/vsak-wrfu",
          "modified": "2025-04-21"
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      ],
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        "title": "Provisional COVID-19 Deaths by Week, Sex, and Age",
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    {
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      "title": "Monthly Cumulative Number and Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction, United States",
      "description": "Monthly Cumulative Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction\n\n• Estimated Number of COVID-19 vaccinations among children 6 months–17 years and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group.\n\n • Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19. (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html)\n ",
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          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
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        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
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        "immunization information system",
        "iis"
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      "modified": "2026-09-10",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/vugp-mqip/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vugp-mqip",
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          "accessURL": "https://data.cdc.gov/d/vugp-mqip",
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        "accessURL": "https://data.cdc.gov/d/vugp-mqip",
        "description": "Monthly Cumulative Number and Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction, United States - Dataset Home",
        "issued": "2024-02-09",
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      "title": "NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis",
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        "@type": "Document",
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        "accessURL": "https://data.cdc.gov/d/vuhn-dxkt",
        "description": "NNDSS - TABLE 1AA. Poliovirus infection, nonparalytic to Psittacosis - Dataset Home",
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        "009:020"
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      "description": "This is the complete dataset for the 500 Cities project 2017 release. This dataset includes 2015, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2015, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2011-2015, 2010-2014 estimates. Because some questions are only asked every other year in the BRFSS, there are 7 measures from the 2014 BRFSS that are the same in the 2017 release as the previous 2016 release. More information about the methodology can be found at www.cdc.gov/500cities.",
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      "inventoried": "2026-09-27"
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      "@type": "Dataset",
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        "name": "Karl Soetebier"
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        "nssp",
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        "respiratory syncytial virus",
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      ],
      "modified": "2026-09-18",
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        "description": "2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined - Dataset Home",
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      "@type": "Dataset",
      "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2019-2021",
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        "stroke",
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      ],
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        "issued": "2024-02-23",
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      "inventoried": "2026-09-27"
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      "@type": "Dataset",
      "title": "University of Illinois at Chicago Health Policy Center - Funding",
      "description": "1991-2016. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  Funding Data, Appropriations (1991-2016) and Expenditures (2008-2016).  Appropriations data show public funds allocated to/by a particular state for tobacco prevention and control.  They are not necessarily expended.  Appropriations are from four major funding sources, Federal, state, Robert Wood Johnson Foundation (RWJF), and the American Legacy Foundation (Legacy).  Expenditures are amounts spent by state tobacco control programs on tobacco prevention and control.  Expenditure data are available by CDC Best Practices Program Components (State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management). Expenditures from 2008 to 2014 are compared against 2007 CDC Best Practices Recommendations; expenditures from 2015 and forward are compared against 2014 CDC Best Practices Recommendations.",
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        "title": "University of Illinois at Chicago Health Policy Center - Funding - Dataset Home",
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        "issued": "2023-07-14",
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      "bureauCode": [
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    },
    {
      "@type": "Dataset",
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      "description": "2011-2022. The ASTDD Synopses of State Oral Health Programs contain information useful in tracking states’ efforts to improve oral health and contributions to progress toward the national targets for Healthy People objectives for oral health. A subset of the information collected from the most recent five years is provided on the Oral Health Data website. For more information, see http://www.cdc.gov/oralhealthdata/overview/synopses/index.html",
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        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
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        "state dental directors",
        "state oral health program characteristics",
        "workforce",
        "cleft lip/cleft palate recording",
        "cleft lip/cleft palate referral to care",
        "infrastructure",
        "oral health",
        "policy",
        "programs"
      ],
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        "accessURL": "https://data.cdc.gov/d/vwmz-4ja3",
        "description": "ASTDD Synopses of State Oral Health Programs - Selected indicators - Dataset Home",
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    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease (age <5 years), Serotype b",
      "description": "NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease (age <5 years), Serotype b - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vx8v-gfyf",
      "contactPoint": [
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          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
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        "netss",
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        "wonder",
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        "all ages",
        "all serotypes"
      ],
      "modified": "2026-09-09",
      "distribution": [
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          "modified": "2026-09-09"
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          "downloadURL": "https://data.cdc.gov/api/v3/views/vx8v-gfyf/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vx8v-gfyf",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
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          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease (age <5 years), Serotype b - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vx8v-gfyf",
        "description": "NNDSS - TABLE 1M. Gonorrhea to Haemophilus influenzae, invasive disease (age <5 years), Serotype b - Dataset Home",
        "issued": "2019-04-26",
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            "@id": "https://data.cdc.gov/user/2fth-98hd",
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        ]
      },
      "bureauCode": [
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      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Hepatitis (viral, acute) A & B",
      "description": "NNDSS - Table II. Hepatitis (viral, acute) A & B - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\nU: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vxsn-2csw",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "hepatitis (viral acute)",
        "wonder",
        "nndss",
        "netss",
        "nedss",
        "mmwr",
        "hepatitis (viral acute) type b",
        "hepatitis (viral acute) type a",
        "hepatitis",
        "2017"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vxsn-2csw/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vxsn-2csw",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vxsn-2csw/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vxsn-2csw",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/api/views/vxsn-2csw/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vxsn-2csw/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vxsn-2csw",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vxsn-2csw/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Hepatitis (viral, acute) A & B - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vxsn-2csw",
        "description": "NNDSS - Table II. Hepatitis (viral, acute) A & B - Dataset Home",
        "issued": "2018-01-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC.gov CleanSlate and Relaunch URL Mappings",
      "description": "CDC is planning a major relaunch of CDC.gov on May 15th, followed by subsequent monthly batches of sites restructuring their CDC.gov content into the fall of 2024.\n \nBecause this restructuring includes merged or changed content, CDC will be updating all URLs to a new standard naming structure. About 70% of these updates will occur during the May 15th launch, but another 30% of our content and URLs will be restructured on a rolling schedule. \n \nThis data set contains the mapping information from old URLs to new URLs. Before May 15th, 2024, this dataset will only include one row of data to preview the fields in the dataset. After May 15th it will contain all content URLs that changed as part of the relaunch of CDC.gov. After launch, we will continue to add additional mappings typically around the 15th of each month for any for sites updated in each monthly batch.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vyry-2yfg",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Fred Smith",
          "hasEmail": "mailto:imtech@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fe98-wqam",
        "@type": "Organization",
        "name": "CDC"
      },
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vyry-2yfg/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vyry-2yfg",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vyry-2yfg/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vyry-2yfg",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/api/views/vyry-2yfg/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vyry-2yfg/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vyry-2yfg",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/vyry-2yfg/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC.gov CleanSlate and Relaunch URL Mappings - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vyry-2yfg",
        "description": "CDC.gov CleanSlate and Relaunch URL Mappings - Dataset Home",
        "issued": "2024-05-16",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fe98-wqam",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis",
      "description": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.\n* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/vzfn-ifh5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "2020",
        "undetermined ehrlichiosis/anaplasmosis",
        "ehrlichiosis and anaplasmosis",
        "wonder",
        "nndss",
        "netss",
        "nedss",
        "ehrlichia ewingii infection",
        "giardiasis"
      ],
      "modified": "2026-09-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vzfn-ifh5/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vzfn-ifh5",
          "mediaType": "text/csv",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vzfn-ifh5/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vzfn-ifh5",
          "mediaType": "application/json",
          "modified": "2026-09-08",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/api/views/vzfn-ifh5/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vzfn-ifh5/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vzfn-ifh5",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vzfn-ifh5/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vzfn-ifh5",
          "mediaType": "application/geo+json",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vzfn-ifh5/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vzfn-ifh5",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/vzfn-ifh5/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/vzfn-ifh5",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-08"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/vzfn-ifh5",
        "description": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - Dataset Home",
        "issued": "2020-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/w26f-tf3h",
      "identifier": "https://data.cdc.gov/api/views/w26f-tf3h",
      "title": "DQS Death rates for suicide, by sex, race, Hispanic origin, and age: United States from CDC WONDER",
      "description": "Data on death rates for suicide in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Death rates for suicide, by sex, race, Hispanic origin, and age: United States from CDC WONDER",
          "description": "Data on death rates for suicide in the United States, by age, sex, race, and Hispanic origin. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/w26f-tf3h",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Death rates for suicide, by sex, race, Hispanic origin, and age: United States from CDC WONDER",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2010 (Part 5 of 7)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 6 of 48 and corresponds to the time range between November 29, 2010, and December 6, 2010.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/w2se-gny9",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/w2se-gny9/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/w2se-gny9",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2010 (Part 5 of 7) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/w2se-gny9",
        "description": "Elk Creek Seismic Waveforms 2010 (Part 5 of 7) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease",
      "description": "NNDSS - TABLE 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease – 2021.  In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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      "accessRights": "public",
      "distribution": [
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          "title": "AH Monthly COVID-19 Deaths, by Census Region, Age, Place, and Race and Hispanic Origin, 2020 Provisional",
          "description": "Deaths involving coronavirus disease 2019 (COVID-19) by month of death, region, age, place of death, and race and Hispanic origin: May-August 2020. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
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        "title": "AH Monthly COVID-19 Deaths, by Census Region, Age, Place, and Race and Hispanic Origin, 2020 Provisional",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1F. Brucellosis to Candida auris, clinical",
      "description": "NNDSS - Table 1F. Brucellosis to Candida auris, clinical - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Candida auris, clinical colonization/screening cases are not included in this table. These data are available on the Mycotic Diseases Branch's Tracking Candida auris page (https://www.cdc.gov/fungal/candida-auris/tracking-c-auris.html).",
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      ],
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        "@type": "Document",
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        "accessURL": "https://data.cdc.gov/d/w54d-atna",
        "description": "NNDSS - TABLE 1F. Brucellosis to Candida auris, clinical - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
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      "title": "Weekly Cumulative Estimated Number of Updated 2023-24 COVID-19 Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States, Data Source(s): IQVIA Pharmacy and Physician Medical Office Claims",
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        "description": "Weekly Cumulative Estimated Number of Updated 2023-24 COVID-19 Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States, Data Source(s): IQVIA Pharmacy and Physician Medical Office Claims - Dataset Home",
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      "title": "NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute",
      "description": "NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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        "description": "NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute - Dataset Home",
        "issued": "2021-01-21",
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue",
      "description": "NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Includes data for dengue and dengue-like illness.",
      "accessLevel": "public",
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        "@type": "Organization",
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      },
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        "dengue",
        "dengue virus infections",
        "nedss",
        "netss",
        "nndss",
        "severe dengue",
        "wonder",
        "2019",
        "dengue-like illness"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/w7ew-4aqz/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/w7ew-4aqz",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/w7ew-4aqz/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/w7ew-4aqz",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/w7ew-4aqz/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/w7ew-4aqz",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/w7ew-4aqz",
        "description": "NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "HHS Unaccompanied Children Program",
      "description": "This data is no longer being updated. New data is being tracked at https://healthdata.gov/National/HHS-Unaccompanied-Children-Program/ehpz-xc9n\n\nThis data represents unaccompanied children who are taken into custody by Customs and Border Protection brought to a facility and processed for transfer to the Department of Health and Human Services (HHS) as required by law. HHS holds the child for testing and quarantine, and shelters the child until the child is placed with a sponsor here in the United States.",
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          "fn": "HHS",
          "hasEmail": "mailto:media@acf.hhs.gov"
        }
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        "name": "HHS/ASPA"
      },
      "keyword": [
        "unaccompanied children"
      ],
      "modified": "2026-09-09",
      "distribution": [
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/w9g9-rj4y/query.json?accessType=DOWNLOAD",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/w9g9-rj4y/query.xml?accessType=DOWNLOAD",
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          "mediaType": "application/xml",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "HHS Unaccompanied Children Program - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/w9g9-rj4y",
        "description": "HHS Unaccompanied Children Program - Dataset Home",
        "issued": "2021-04-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/tjyw-xtku",
            "@type": "Organization",
            "name": "HHS/ASPA"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
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        "009:00"
      ],
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/w9j2-ggv5",
      "identifier": "https://data.cdc.gov/api/views/w9j2-ggv5",
      "title": "NCHS - Death rates and life expectancy at birth",
      "description": "This dataset of U.S. mortality trends since 1900 highlights the differences in age-adjusted death rates and life expectancy at birth by race and sex.\n\nAge-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below).\n\nLife expectancy data are available up to 2017. Due to changes in categories of race used in publications, data are not available for the black population consistently before 1968, and not at all before 1960. More information on historical data on age-adjusted death rates is available at https://www.cdc.gov/nchs/nvss/mortality/hist293.htm.\n\nSOURCES\n\nCDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).\n\nREFERENCES\n\n1. National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm.\n\n2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.\n\n3. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf.\n\n4. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf.\n\n5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
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        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)"
          }
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      "accessRights": "public",
      "distribution": [
        {
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          "description": "This dataset of U.S. mortality trends since 1900 highlights the differences in age-adjusted death rates and life expectancy at birth by race and sex. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/w9j2-ggv5",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
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        "@type": "Document",
        "title": "NCHS - Death rates and life expectancy at birth",
        "accessURL": "https://www.cdc.gov/nchs/data-visualization/mortality-trends/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Vaccine Distribution Allocations by Jurisdiction - Janssen",
      "description": "New weekly allocations of doses are posted every Tuesday.  Beginning the following Thursday, states can begin ordering doses from that week’s new allocation of 1st doses.  Beginning two weeks (Pfizer) or three weeks (Moderna) from the following Sunday, states can begin ordering doses from that week’s new allocation of 2nd doses. After doses are ordered by states, shipments begin the following Monday. The entire order may not arrive in one shipment or on one day, but over the course of the week.\n\nSecond doses are opened up for orders on Sundays, at the appropriate interval two or three weeks later according to the manufacturer’s label, with shipments occurring after jurisdictions place orders. \n\nShipments of an FDA-authorized safe and effective COVID-19 vaccine continue to arrive at sites across America. Vaccinations began on December 14, 2020. \n\nhttps://www.hhs.gov/coronavirus/covid-19-vaccines/index.html\n\nPfizer Vaccine Data - https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Initial-Allocations-Pfizer/saz5-9hgg\n\nModerna Vaccine Data- https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/w9zu-fywh",
      "contactPoint": [
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          "fn": "ASPA Media",
          "hasEmail": "mailto:media@hhs.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/tjyw-xtku",
        "@type": "Organization",
        "name": "HHS ASPA"
      },
      "keyword": [
        "coronavirus",
        "covid-19",
        "vaccination"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/w9zu-fywh/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/w9zu-fywh",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/w9zu-fywh/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/w9zu-fywh",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/api/views/w9zu-fywh/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/w9zu-fywh/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/w9zu-fywh",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19 Vaccine Distribution Allocations by Jurisdiction - Janssen - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/w9zu-fywh",
        "description": "COVID-19 Vaccine Distribution Allocations by Jurisdiction - Janssen - Dataset Home",
        "issued": "2021-02-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/tjyw-xtku",
            "@type": "Organization",
            "name": "HHS ASPA"
          }
        ]
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      "bureauCode": [
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    },
    {
      "@type": "Dataset",
      "title": "Compact, High-flow, Water-based, Turbulent-mixing, Condensation Aerosol Concentrator for Collection of Spot Samples",
      "description": "A new high-flow, compact aerosol concentrator, using rapid, turbulent mixing to grow aerosol particles into droplets for dry spot sample collection, has been designed and tested. The “TCAC (Turbulent-mixing, Condensation Aerosol Concentrator)” is composed of a saturator for generating hot vapor, a mixing section where the hot vapor mixes with the cold aerosol flow, a growth tube where condensational droplet growth primarily occurs, and a converging nozzle that focuses the droplets into a beam. The prototype concentrator utilizes an aerosol sample flow rate of 4 L min-1. The TCAC was optimized by varying the operating conditions, such as relative humidity of the aerosol flow, mixing flow ratio, vapor temperature, and impaction characteristics. The results showed that particles with a diameter ≥ 25 nm can be grown to a droplet diameter > 1400 nm with near 100 % efficiency. Complete activation and growth were observed at relative humidity ≥ 25 % of the aerosol sample flow. A consistent spot sample with a diameter of D90 = 1.4 mm (the diameter of a circle containing 90 % of the deposited particles) was obtained regardless of the aerosol particle diameter (dp = 20 – 1900 nm). For fiber counting applications using phase contrast microscopy, the TCAC can reduce the sampling time, or counting uncertainty, by two to three orders of magnitude, compared to the 25-mm-filter collection. The study shows that the proposed mixing-flow scheme enables a compact spot sample collector suitable for handheld or portable applications, while still allowing for high flow rates.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/wa6b-urfv",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/wa6b-urfv/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/wa6b-urfv",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Compact, High-flow, Water-based, Turbulent-mixing, Condensation Aerosol Concentrator for Collection of Spot Samples - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/wa6b-urfv",
        "description": "Compact, High-flow, Water-based, Turbulent-mixing, Condensation Aerosol Concentrator for Collection of Spot Samples - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislation—Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/wan8-w4er",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "legislation",
        "e-cigarette",
        "osh",
        "policy",
        "smokefree indoor air",
        "state system"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Smokefree/wan8-w4er"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wan8-w4er/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wan8-w4er",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wan8-w4er/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wan8-w4er",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wan8-w4er/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wan8-w4er/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wan8-w4er",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wan8-w4er/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wan8-w4er/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wan8-w4er",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wan8-w4er/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wan8-w4er",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wan8-w4er/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wan8-w4er",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/wan8-w4er",
        "description": "CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table I. infrequently reported notifiable diseases",
      "description": "NNDSS - Table I. infrequently reported notifiable diseases - 2014.In this Table, provisional cases of selected infrequently reported notifiable diseases (<1,000 cases reported during the preceding year) are displayed.  Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in these tables are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnote:-: No reported cases    N: Not reportable    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts. * Case counts for reporting year 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. ��� Calculated by summing the incidence counts for the current week, the 2 weeks preceding the current week, and the 2 weeks following the current week, for a total of 5 preceding years. The total sum of incident cases is then divided by 25 weeks. Additional information is available at http://wwwn.cdc.gov/nndss/document/5yearweeklyaverage.pdf. �� Not reportable in all states. Data from states where the condition is not reportable are excluded from this table except starting in 2007 for the Arboviral diseases, STD data, TB data, and influenza-associated pediatric mortality, and in 2003 for SARS-CoV. Reporting exceptions are available at http://wwwn.cdc.gov/nndss/document/SRCA_FINAL_REPORT_2006-2012_final.xlsx. �� Includes both neuroinvasive and nonneuroinvasive. Updated weekly from reports to the Division of Vector-Borne Infectious Diseases, National Center for Zoonotic, Vector-Borne, and Enteric Diseases (ArboNET Surveillance). Data for West Nile virus are available in Table II. ** Data for H. influenzae (all ages, all serotypes) are available in Table II. ��ʉ�� Updated weekly from reports to the Influenza Division, National Center for Immunization and Respiratory Diseases. Please refer to the MMWR publication for weekly updates to the footnote for this condition. ���� Please refer to the MMWR publication for weekly updates to the footnote for this condition. ���� Data for meningococcal disease (all serogroups) are available in Table II. *** Please refer to the MMWR publication for weekly updates to the footnote for this condition. ��ʉ�ʉ�� Please refer to the MMWR publication for weekly updates to the footnote for this condition. ������ Updated weekly from reports to the Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention. ������ Please refer to the MMWR publication for weekly updates to the footnote for this condition. See Table II for Dengue Hemorrhagic Fever.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/wcwi-x3uk",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "diphtheria",
        "hepatitis b infection perinatal",
        "influenza-associated pediatric mortality",
        "leptospirosis",
        "listeriosis",
        "measles",
        "meningococcal disease invasive",
        "mmwr",
        "nedss",
        "netss",
        "nndss",
        "novel influenza a",
        "plague",
        "poliomyelitis paralytic",
        "polio virus infection nonparalytic",
        "postdiarrheal",
        "powassan virus disease",
        "psittacosis",
        "q fever",
        "rabies human",
        "rubella",
        "rubella congenital syndrome",
        "sars-cov",
        "smallpox",
        "st. louis virus disease",
        "streptococcal toxic-shock syndrome",
        "syphilis congenital (age <1 yr)",
        "tetanus",
        "toxic-shock syndrome (staphylococcal)",
        "trichinellosis",
        "tularemia",
        "typhoid fever",
        "vancomycin",
        "vibriosis",
        "viral hemorrhagic fever",
        "western equine virus disease",
        "wonder",
        "yellow fever",
        "2014",
        "anthrax",
        "arboviral diseases",
        "botulism",
        "brucellosis",
        "california serogroup virus disease",
        "chancroid",
        "cholera",
        "cyclosporiasis",
        "eastern equinevirus disease",
        "encephalitis",
        "haemophilus influenzae invasive",
        "hansen disease",
        "hantavirus pulmonary syndrome",
        "hemolytic uremic syndrome"
      ],
      "modified": "2026-09-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wcwi-x3uk/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wcwi-x3uk",
          "mediaType": "text/csv",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wcwi-x3uk/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wcwi-x3uk",
          "mediaType": "application/json",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wcwi-x3uk/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wcwi-x3uk/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wcwi-x3uk",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wcwi-x3uk/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table I. infrequently reported notifiable diseases - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/wcwi-x3uk",
        "description": "NNDSS - Table I. infrequently reported notifiable diseases - Dataset Home",
        "issued": "2015-01-12",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/wd75-kcmv",
      "identifier": "https://data.cdc.gov/api/views/wd75-kcmv",
      "title": "DQS Fetal, late fetal, and perinatal mortality rates, by detailed race and Hispanic origin of mother United States",
      "description": "Data on fetal, late fetal, and perinatal mortality rates in the United States, by detailed race and Hispanic origin of mother. Data are from Health, United States. Source: National Center for Health Statistics, National Vital Statistics System, Fetal Death Data Set.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Fetal, late fetal, and perinatal mortality rates, by detailed race and Hispanic origin of mother United States",
          "description": "Data on fetal, late fetal, and perinatal mortality rates in the United States, by detailed race and Hispanic origin of mother. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/wd75-kcmv",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Fetal, late fetal, and perinatal mortality rates, by detailed race and Hispanic origin of mother United States",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Exposure to the immunomodulatory chemical triclosan differentially impacts immune cell populations in the skin of haired (BALB/c) and hairless (SKH1) mice",
      "description": "Workers across every occupational sector have the potential to be exposed to a wide variety of chemicals, and the skin is a primary route of exposure. Furthermore, exposure to certain chemicals has been linked to inflammatory and allergic diseases. Thus, understanding the immune responses to chemical exposures on the skin and the potential for inflammation and sensitization is needed to improve worker safety and health. Responses in the skin microenvironment impact the potential for sensitization and these responses may include the presence of proinflammatory cytokines, inflammasome activation, barrier integrity, skin microbiota, and the presence of immune cells. Selection of mouse strain to evaluate skin effects, such as haired (BALB/c) or hairless (SKH1) mice, varies dependent on the experimental design and needs of a study. However, dermal chemical exposure may impact reactions in the skin differently depending on the strain of mouse. Additionally, there is a need for established methods to evaluate immune responses in the skin. In this study, exposure to the immunomodulatory chemical triclosan was evaluated in two mouse models using immunophenotyping by flow cytometry and gene expression analysis.  The flow cytometry panel reported in this manuscript in combination with gene expression analysis may be used in future studies to better evaluate the effect of chemical exposures on the skin immune response.  These findings may be important to consider during strain selection, experimental design, and result interpretation of chemical exposures on the skin.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/wepx-mhy6",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Allergy and Clinical Immunology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/wepx-mhy6/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/wepx-mhy6",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Exposure to the immunomodulatory chemical triclosan differentially impacts immune cell populations in the skin of haired (BALB/c) and hairless (SKH1) mice - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/wepx-mhy6",
        "description": "Exposure to the immunomodulatory chemical triclosan differentially impacts immune cell populations in the skin of haired (BALB/c) and hairless (SKH1) mice - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1T. Invasive pneumococcal disease, Age<5 years, Confirmed to Legionellosis",
      "description": "NNDSS - TABLE 1T. Invasive pneumococcal disease, age<5 years, Confirmed to Legionellosis - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/wff4-m3q3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "wonder",
        "confirmed",
        "invasive pneumococcal disease",
        "2021",
        "age<5 years",
        "legionellosis",
        "nedss",
        "netss",
        "nndss",
        "probable"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wff4-m3q3/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wff4-m3q3",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wff4-m3q3/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wff4-m3q3",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wff4-m3q3/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wff4-m3q3/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wff4-m3q3",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wff4-m3q3/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wff4-m3q3/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wff4-m3q3",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wff4-m3q3/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wff4-m3q3",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wff4-m3q3/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wff4-m3q3",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1T. Invasive pneumococcal disease, Age<5 years, Confirmed to Legionellosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/wff4-m3q3",
        "description": "NNDSS - TABLE 1T. Invasive pneumococcal disease, Age<5 years, Confirmed to Legionellosis - Dataset Home",
        "issued": "2021-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19-associated school closures, United States, February 18–June 30, 2020",
      "description": "Unplanned public K-12 school district and individual school closures due to COVID-19 in the United States from February 18–June 30, 2020.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/wgvr-7mvz",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Nicole Zviedrite",
          "hasEmail": "mailto:jmu6@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/gagd-5cdy",
        "@type": "Organization",
        "name": "Unplanned School Closure Monitoring"
      },
      "keyword": [
        "covid-19",
        "school closure",
        "coronavirus",
        "community mitigation"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wgvr-7mvz/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wgvr-7mvz",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
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          "accessURL": "https://data.cdc.gov/d/wgvr-7mvz",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
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          "accessURL": "https://data.cdc.gov/d/wgvr-7mvz",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19-associated school closures, United States, February 18–June 30, 2020 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/wgvr-7mvz",
        "description": "COVID-19-associated school closures, United States, February 18–June 30, 2020 - Dataset Home",
        "issued": "2022-01-12",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/gagd-5cdy",
            "@type": "Organization",
            "name": "Unplanned School Closure Monitoring"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1P.  Hemolytic uremic syndrome post-diarrheal to Hepatitis (viral, acute, by type), B",
      "description": "NNDSS - TABLE 1P.  Hemolytic uremic syndrome post-diarrheal to Hepatitis (viral, acute, by type), B - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/wgyw-mswy",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "nedss",
        "hepatitis (viral",
        "2019",
        "acute",
        "by type) a",
        "by type) b",
        "hemolytic uremic syndrome post-diarrheal",
        "wonder",
        "nndss",
        "netss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wgyw-mswy/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wgyw-mswy",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wgyw-mswy/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wgyw-mswy",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wgyw-mswy/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wgyw-mswy/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wgyw-mswy",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wgyw-mswy/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1P.  Hemolytic uremic syndrome post-diarrheal to Hepatitis (viral, acute, by type), B - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/wgyw-mswy",
        "description": "NNDSS - TABLE 1P.  Hemolytic uremic syndrome post-diarrheal to Hepatitis (viral, acute, by type), B - Dataset Home",
        "issued": "2019-04-24",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Imputed Hospitalization Rate for RSV at the State Level",
      "description": "Weekly imputed RSV hospital admission rates per 100,000 population from 47 states plus DC from 2018-2024 are described. Rates were estimated by combining values from RSV-Net with those from NSSP and NHSN to obtain combined time series of RSV hospital admissions counts. States with overlapping values in both sets underwent interpolation and extrapolation procedures for estimates throughout the time series. These states were then used to impute values for states that did not have surveillance data within RSV-Net. Calculated RSV hospital admission rates (either interpolated, extrapolated, or imputed) are reported. See the GitHub for code and further description.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/whhs-7a5d",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CORVD Informatics",
          "hasEmail": "mailto:CORVDInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/8jxp-krex",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "surveillance",
        "rsvnet",
        "hospitalization rate",
        "hospitalizations",
        "rsv",
        "respiratory syncytial virus",
        "nssp",
        "rate",
        "hospitalization",
        "respiratory illness",
        "respiratory disease"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/whhs-7a5d/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/whhs-7a5d",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/whhs-7a5d/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/whhs-7a5d",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/whhs-7a5d/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/whhs-7a5d/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/whhs-7a5d",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/whhs-7a5d/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Imputed Hospitalization Rate for RSV at the State Level - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/whhs-7a5d",
        "description": "Imputed Hospitalization Rate for RSV at the State Level - Dataset Home",
        "issued": "2026-05-13",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/8jxp-krex",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US States"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:026"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2020-2021 Nationwide Blood Donor Seroprevalence Survey Combined Infection- and Vaccination-Induced Seroprevalence Estimates",
      "description": "CDC is collaborating with the National Institutes of Health (NIH), the Food and Drug Administration (FDA), Vitalant Research Institute (VRI), Westat Inc., and numerous blood collection organizations across the United States to conduct a nationwide COVID-19 seroprevalence survey of blood donors. This is the largest nationwide COVID-19 seroprevalence survey to date. De-identified blood samples are tested for antibodies to SARS-CoV-2 to better understand the percentage of people in the United States who have antibodies against SARS-CoV-2 (the virus that causes COVID-19) and to track how this percentage changes over time. Both SARS-CoV-2 infection and COVID-19 vaccines currently used in the United States result in production of anti-spike (anti-S) antibodies but only infection results in production of anti-nucleocapsid (anti-N) antibodies. Combined seroprevalence estimates the proportion of the population with evidence of previous SARS-CoV-2 infection, COVID-19 vaccination, or both. It estimates the proportion of the population with some presumed protection against infection with the virus that causes COVID-19. The term “combined seroprevalence” refers to the combined infection- and vaccination-induced SARS-CoV-2 seroprevalences. This is the population that has  anti-S antibodies, regardless of the presence of anti-N antibodies.\n\nThis link connects to a webpage that displays the data from the Nationwide Blood Donor Seroprevalence Survey. It offers an interactive visualization available at https://covid.cdc.gov/covid-data-tracker/#nationwide-blood-donor-seroprevalence\n\nAdditional information is available at: https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/blood-bank-serosurvey.html",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/wi5c-cscz",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC-INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "seroprevalence",
        "covid-19",
        "covid19",
        "covid",
        "sars-cov",
        "prevalence",
        "serosurveys",
        "ncird-corvd",
        "coronavirus",
        "laboratory"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wi5c-cscz/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wi5c-cscz",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wi5c-cscz/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wi5c-cscz",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wi5c-cscz/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wi5c-cscz/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wi5c-cscz",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wi5c-cscz/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "2020-2021 Nationwide Blood Donor Seroprevalence Survey Combined Infection- and Vaccination-Induced Seroprevalence Estimates - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/wi5c-cscz",
        "description": "2020-2021 Nationwide Blood Donor Seroprevalence Survey Combined Infection- and Vaccination-Induced Seroprevalence Estimates - Dataset Home",
        "issued": "2021-10-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-07-01",
          "endDate": "2021-12-14"
        }
      ],
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/wibz-pb5q",
      "identifier": "https://data.cdc.gov/api/views/wibz-pb5q",
      "title": "Biennial Overview of Post-acute and Long-term Care in the United States: Data from the National Post-acute and Long-term Care Study",
      "description": "The NCHS National Post-acute and Long-term Care Study (NPALS) collects data on post-acute and long-term care providers every two years. The goal is to monitor post-acute and long-term care settings with reliable, accurate, relevant, and timely statistical information to support and inform policy, research, and practice. These data tables provide an overview of the geographic, organizational, staffing, service provision, and user characteristics of paid, regulated long-term and post-acute care providers in the United States. The settings include adult day services centers, home health agencies, hospices, inpatient rehabilitation facilities, long-term care hospitals, and nursing homes.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Biennial Overview of Post-acute and Long-term Care in the United States: Data from the National Post-acute and Long-term Care Study",
          "description": "The NCHS National Post-acute and Long-term Care Study (NPALS) collects data on post-acute and long-term care providers every two years. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/wibz-pb5q",
          "modified": "2026-06-25"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-06-25",
      "landingPage": {
        "@type": "Document",
        "title": "Biennial Overview of Post-acute and Long-term Care in the United States: Data from the National Post-acute and Long-term Care Study",
        "accessURL": "https://www.cdc.gov/nchs/npals/webtables/overview.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/wj2j-rzx9",
      "identifier": "https://data.cdc.gov/api/views/wj2j-rzx9",
      "title": "National Ambulatory Medical Care Survey Health Center Component, 2022-2024, Public-use file",
      "description": "The National Ambulatory Medical Care Survey (NAMCS) is designed to meet the need for objective, reliable information about the provision and use of ambulatory medical care services in the United States. In 2021, the former CHC sample of NAMCS was redesigned and launched as the NAMCS Health Center (HC) Component, collecting visit data from HCs using electronic health records, or EHR, systems of the participating health centers. The NAMCS Health Center Component contains critical data about health centers and the care they provide.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "National Ambulatory Medical Care Survey Health Center Component, 2022-2024, Public-use file",
          "description": "The National Ambulatory Medical Care Survey (NAMCS) is designed to meet the need for objective, reliable information about the provision and use of ambulatory medical care services in the United States. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/wj2j-rzx9",
          "modified": "2026-07-01"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-01",
      "landingPage": {
        "@type": "Document",
        "title": "National Ambulatory Medical Care Survey Health Center Component, 2022-2024, Public-use file",
        "accessURL": "https://www.cdc.gov/nchs/namcs-health-center/about/index.html"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Electronic Health Information Legal Epidemiology Data Set 2014",
      "description": "Authors: Cason Schmit, JD, Gregory Sunshine, JD, Dawn Pepin, JD, MPH, Tara Ramanathan, JD, MPH, Akshara Menon, JD, MPH, Matthew Penn, JD, MLIS\r\nThis legal data set consists of state statutes and regulations in effect as of January 1, 2014, related to electronic health information (EHI). Jurisdictions were limited to US states, territories, and the District of Columbia that had statutes and regulations in the Westlaw legal database that expressly referenced EHI. This data set includes 2,364 EHI-related laws representing 49 EHI uses in 54 jurisdictions. For information about research methods, please reference the Electronic Health Information Legal Epidemiology Protocol 2014.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/wngq-sdai",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Rachel Hulkower",
          "hasEmail": "mailto:hzo2@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/nhhi-i2h8",
        "@type": "Organization",
        "name": "HZO2@cdc.gov"
      },
      "keyword": [
        "electronic health information",
        "law",
        "public health law program"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wngq-sdai/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wngq-sdai",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wngq-sdai/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wngq-sdai",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wngq-sdai/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wngq-sdai/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wngq-sdai",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wngq-sdai/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wngq-sdai/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wngq-sdai",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wngq-sdai/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wngq-sdai",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wngq-sdai/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wngq-sdai",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Electronic Health Information Legal Epidemiology Data Set 2014 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/wngq-sdai",
        "description": "Electronic Health Information Legal Epidemiology Data Set 2014 - Dataset Home",
        "issued": "2017-09-07",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/nhhi-i2h8",
            "@type": "Organization",
            "name": "HZO2@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Systemic toxicity induced by topical application of the sulfonic acids, perfluorobutane sulfonic acid (PFBS) and perfluoropentane sulfonic acid (PFPeS), in a murine model",
      "description": "Per- and polyfluoroalkyl substances (PFAS) are a large group of synthetic surfactants incorporated into products for their chemical and physical properties. Studies have associated PFAS with adverse health effects. Although there is a high potential for dermal exposure, toxicity studies related to this route of exposure are lacking. The present study evaluated the systemic toxicity following a sub chronic 28- day dermal exposure to PFBS (1.25-5%) or PFPeS (1.25-5%) in a murine model. Elevated levels of both PFAS were detected in the serum and urine, suggesting that absorption is occurring through the dermal route. Additionally, both PFAS induced significantly increased relative liver weight, altered serum chemistries, altered skin and liver histopathology, and significantly decreased relative spleen (PFPeS). Gene expression changes were observed in the liver and skin, of genes involved in fatty acid metabolism, inflammation, and skin integrity. In general, the toxicity was more dramatic for PFPeS compared to PFBS, suggesting that longer chain PFAS may be more toxic.  These findings support PFAS absorption through the skin leading to liver damage and systemic toxicity.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/wp4g-awc9",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Allergy and Clinical Immunology Branch (ACIB), Health Effects Laboratory Division (HELD), National Institute for Occupational Safety and Health (NIOSH)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/wp4g-awc9/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/wp4g-awc9",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Systemic toxicity induced by topical application of the sulfonic acids, perfluorobutane sulfonic acid (PFBS) and perfluoropentane sulfonic acid (PFPeS), in a murine model - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/wp4g-awc9",
        "description": "Systemic toxicity induced by topical application of the sulfonic acids, perfluorobutane sulfonic acid (PFBS) and perfluoropentane sulfonic acid (PFPeS), in a murine model - Dataset Home",
        "issued": "2025-08-01",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/wpti-gvdi",
      "identifier": "https://data.cdc.gov/api/views/wpti-gvdi",
      "title": "NHIS Interactive Quarterly Early Release Estimates",
      "description": "Interactive Quarterly Early Release Estimates provide health statistics since 2019 based on data from the National Health Interview Survey (NHIS) for selected health topics for adults aged 18 years and over. All estimates are unadjusted percentages based on preliminary data files and are released prior to final data editing and final weighting to provide access to the most recent information from the NHIS. Estimates presented here are based on quarterly data. Estimates based on half-year data, with groupings by demographic characteristics, are available in the Interactive Biannual Early Release Estimates. Estimates based on the 1997–2018 NHIS can be found in Previous Early Release Reports on Key Health Indicators.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NHIS Interactive Quarterly Early Release Estimates",
          "description": "Interactive Quarterly Early Release Estimates provide health statistics since 2019 based on data from the National Health Interview Survey (NHIS) for selected health topics for adults aged 18 years and over. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/wpti-gvdi",
          "modified": "2026-07-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-21",
      "landingPage": {
        "@type": "Document",
        "title": "NHIS Interactive Quarterly Early Release Estimates",
        "accessURL": "https://wwwn.cdc.gov/NHISDataQueryTool/ER_Quarterly/index_quarterly.html"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2022 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/wrev-kwxu",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ARTINFO",
          "hasEmail": "mailto:ARTINFO@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/uj8q-r4hw",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "success rates",
        "clinic",
        "fertility",
        "infertility",
        "services",
        "art",
        "assisted reproductive technology"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://data.cdc.gov/dataset/2020-Final-Assisted-Reproductive-Technology-ART-Pa/wrev-kwxu"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wrev-kwxu/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wrev-kwxu",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wrev-kwxu/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wrev-kwxu",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wrev-kwxu/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wrev-kwxu/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wrev-kwxu",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wrev-kwxu/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wrev-kwxu/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wrev-kwxu",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wrev-kwxu/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wrev-kwxu",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wrev-kwxu/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wrev-kwxu",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "2022 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/wrev-kwxu",
        "description": "2022 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/uj8q-r4hw",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup",
      "description": "NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/wrrd-u9wx",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "2022",
        "meningococcal disease",
        "other serogroups",
        "wonder",
        "unknown serogroup",
        "nndss",
        "netss",
        "nedss"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wrrd-u9wx/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wrrd-u9wx",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wrrd-u9wx/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wrrd-u9wx",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wrrd-u9wx/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wrrd-u9wx/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wrrd-u9wx",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wrrd-u9wx/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wrrd-u9wx/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wrrd-u9wx",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wrrd-u9wx/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wrrd-u9wx",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wrrd-u9wx/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wrrd-u9wx",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/wrrd-u9wx",
        "description": "NNDSS - TABLE 1X. Meningococcal disease, Other serogroups to Meningococcal disease, Unknown serogroup - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Efficacy of Portable Air Cleaners and Masking for Reducing Indoor Exposure to Simulated Exhaled SARS-CoV-2 Aerosols — United States, 2021",
      "description": "SARS-CoV-2 can be spread by droplets and aerosols expelled by infected people when they cough, talk, sing, or exhale. To reduce exposure to these droplets and aerosols while indoors, CDC recommends measures including physical distancing, universal mask wearing, and room ventilation. Ventilation systems can be supplemented with portable air cleaners to remove infectious material from the air more quickly and provide greater protection. We conducted a case study using respiratory simulators to examine the efficacy of portable High Efficiency Particulate Air (HEPA) air cleaners and universal masking at reducing exposure to simulated exhaled aerosol particles from an infected meeting participant in a conference room. We found that, in a room with good air mixing, the use of two HEPA air cleaners meeting the EPA recommended Clean Air Delivery Rate (CADR) reduced the overall exposure by up to 65%, and that the combination of the HEPA air cleaners and universal masking reduced exposure by up to 90%. The air cleaners were most effective when they were close to the aerosol source. Our results demonstrate that portable HEPA cleaners can be an effective method to reduce exposure to airborne particles while meeting indoors, especially in combination with universal masking.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/wtvk-6zfr",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Allergy and Clinical Immunology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/wtvk-6zfr/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/wtvk-6zfr",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Efficacy of Portable Air Cleaners and Masking for Reducing Indoor Exposure to Simulated Exhaled SARS-CoV-2 Aerosols — United States, 2021 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/wtvk-6zfr",
        "description": "Efficacy of Portable Air Cleaners and Masking for Reducing Indoor Exposure to Simulated Exhaled SARS-CoV-2 Aerosols — United States, 2021 - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Monthly Cumulative Number and Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction, United States",
      "description": "Monthly Cumulative Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction\n\n• Estimated Number of COVID-19 vaccinations among children 6 months–17 years and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group.\n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19. (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html)",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/wtw5-4wi3",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "iis",
        "immunization information system",
        "covid-19 vaccination"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wtw5-4wi3/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wtw5-4wi3",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wtw5-4wi3/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wtw5-4wi3",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wtw5-4wi3/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wtw5-4wi3/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wtw5-4wi3",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wtw5-4wi3/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Monthly Cumulative Number and Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/wtw5-4wi3",
        "description": "Monthly Cumulative Number and Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction, United States - Dataset Home",
        "issued": "2024-02-09",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "Jurisdictions - States, District of Columbia, Islands, and US cities"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/wxz7-ekz9",
      "identifier": "https://data.cdc.gov/api/views/wxz7-ekz9",
      "title": "NHIS Child Summary Health Statistics",
      "description": "Interactive Summary Health Statistics for Children provide annual estimates of selected health topics for children under age 18 years based on final data from the National Health Interview Survey.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NHIS Child Summary Health Statistics",
          "description": "Interactive Summary Health Statistics for Children provide annual estimates of selected health topics for children under age 18 years based on final data from the National Health Interview Survey. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/wxz7-ekz9",
          "modified": "2025-08-01"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-08-01",
      "landingPage": {
        "@type": "Document",
        "title": "NHIS Child Summary Health Statistics",
        "accessURL": "https://www.cdc.gov/nchs/nhis/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1H. Cholera to Coccidioidomycosis",
      "description": "NNDSS - Table 1H. Cholera to Coccidioidomycosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/wycc-ffia",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "2019",
        "nndss",
        "netss",
        "nedss",
        "coccidioidomycosis",
        "wonder",
        "cholera"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wycc-ffia/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wycc-ffia",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wycc-ffia/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wycc-ffia",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wycc-ffia/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wycc-ffia/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wycc-ffia",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wycc-ffia/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1H. Cholera to Coccidioidomycosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/wycc-ffia",
        "description": "NNDSS - TABLE 1H. Cholera to Coccidioidomycosis - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Peracetic acid effects on human bronchial cells in an air liquid interface",
      "description": "Peracetic acid (PAA) is utilized as an industrial disinfectant for cleaning and sterilization of water infrastructure, food-safe machinery, surgical implements, and more. PAA typically exists as a mixture with hydrogen peroxide, acetic acid, water, and oxygen. These PAA cleaning solutions have been increasingly implemented in occupational settings due to their environmentally friendly decomposition products but the strong oxidative potential that allows them to effectively sanitize surfaces also underlies their ability to damage human airways. PAA mixtures are regarded as an asthmagen and occupational exposure has been associated with acute asthma-like symptoms such as airway and mucosal irritation, cough, wheeze, and shortness of breath. To evaluate the broad effects of PAA vapor exposure to human bronchial cells in vitro, normal human bronchial epithelial (NHBE) cells were cultured at the air-liquid interface (ALI) and exposures were conducted to PAA vapors during a four-hour exposure window at four concentrations: 0, 3, 12, and 24 ppm. Cells were allowed to recover for four and twenty-four hours to capture a spectrum of post-exposure response. Data was gathered for cytotoxicity, viability, cell layer integrity (via transepithelial electrical resistance measurements and qualitative histological observations), and protein response for proinflammatory mediators Endothelin-1 (ET-1), Interleukin-6 (IL-6), and Interleukin-8 (IL-8).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/wze2-5h6n",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Research, Pathology and Physiology Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/wze2-5h6n/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/wze2-5h6n",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Peracetic acid effects on human bronchial cells in an air liquid interface - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/wze2-5h6n",
        "description": "Peracetic acid effects on human bronchial cells in an air liquid interface - Dataset Home",
        "issued": "2025-04-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis",
      "description": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/wzwe-859x",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "wonder",
        "undetermined ehrlichiosis/anaplasmosis",
        "nndss",
        "netss",
        "nedss",
        "2022",
        "ehrlichia ewingii infection",
        "ehrlichiosis and anaplasmosis",
        "giardiasis"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wzwe-859x/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wzwe-859x",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wzwe-859x/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wzwe-859x",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wzwe-859x/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wzwe-859x/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wzwe-859x",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/wzwe-859x/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wzwe-859x/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wzwe-859x",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wzwe-859x/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wzwe-859x",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/wzwe-859x/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/wzwe-859x",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/wzwe-859x",
        "description": "NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Hepatitis (viral, acute, by type) C",
      "description": "NNDSS - Table II. Hepatitis (viral, acute, by type) C - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.\r\n\r\nNote:\r\n\r\nThis table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up.  Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.\r\n \r\nFootnotes:\r\n\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.  \r\n\r\n† For acute Hepatitis C, only confirmed cases were verified.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/x2iq-5477",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "acute",
        "nedss",
        "wonder",
        "nndss",
        "netss",
        "hepatitis (viral",
        "by type) c",
        "2018"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/x2iq-5477/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/x2iq-5477",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/x2iq-5477/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/x2iq-5477",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/x2iq-5477/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/x2iq-5477/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/x2iq-5477",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/x2iq-5477/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Hepatitis (viral, acute, by type) C - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/x2iq-5477",
        "description": "NNDSS - Table II. Hepatitis (viral, acute, by type) C - Dataset Home",
        "issued": "2019-01-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/x4hb-v5iw",
      "identifier": "https://data.cdc.gov/api/views/x4hb-v5iw",
      "title": "NCHS Synthetic Linked 2018 NHIS-HUD-CMS Data",
      "description": "To make linked data easier to access, NCHS has piloted a project that creates synthetic linked data files. Synthetic data are created using statistical techniques to maintain properties of the original data. This synthetic linked file includes selected variables from the 2018 National Health Interview Survey (NHIS) with selected linked data from the Centers for Medicare and Medicaid Services (CMS) Medicare health insurance records and participation in the Department of Housing and Urban Development (HUD) federal housing assistance programs.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "NCHS Data Linkage Program",
        "hasEmail": "mailto:datalinkage@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS Synthetic Linked 2018 NHIS-HUD-CMS Data",
          "description": "To make linked data easier to access, NCHS has piloted a project that creates synthetic linked data files. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/x4hb-v5iw",
          "modified": "2025-09-25"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-09-25",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS Synthetic Linked 2018 NHIS-HUD-CMS Data",
        "accessURL": "https://www.cdc.gov/nchs/linked-data/synthetic/index.html"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Lyme disease public use aggregated data with geography, 2022-2023",
      "description": "Overview:\nPublic health surveillance data are collected and reported voluntarily to CDC by U.S. states and territories through the National Notifiable Diseases Surveillance System (NNDSS) (https://www.cdc.gov/nndss/index.html). Data include demographic, clinical, and geographic information; data do not include direct identifiers. Two types of datasets of human Lyme disease case data collected through public health surveillance are available: one includes annual case count aggregated by county of residence according to specific demographic variables and one is line-listed with patient demographic factors, month of illness onset, and clinical presentation information but without corresponding geographic information. These privacy-protected datasets were implemented in accordance with methodology described in Lee et al. Protecting Privacy and Transforming COVID-19 Case Surveillance Datasets for Public Use. Public Health Rep. 2021 Sep-Oct;136(5):554-561. doi: 10.1177/00333549211026817.\n\nLyme disease became nationally notifiable in 1991. Different surveillance case definitions have been in effect over time; details are available here: https://ndc.services.cdc.gov/conditions/lyme-disease/. In 2008, a probable case definition was included in public health surveillance for the first time. In 2022, states with a high incidence of Lyme disease started reporting cases based on laboratory evidence alone without requirement for a clinical investigation, precluding comparison with historical data (for more information: https://www.cdc.gov/mmwr/volumes/73/wr/mm7306a1.htm?s_cid=mm7306a1_w). As such, Lyme disease surveillance data are grouped into separate datasets based on when these major changes occurred; data are provided for download separately for 1992–2007, 2008–2021, and 2022 to current. Data will be updated annually upon final verification of Lyme disease surveillance data by health departments.\n\nData Limitations:\nSurveillance data have significant limitations that must be considered in the analysis, interpretation, and reporting of results.\n1. Under-reporting and misclassification are features common to all surveillance systems. Not every case of Lyme disease is reported to CDC, and some cases that are reported may be reflect illness due to another cause.\n2. Please note that before the 2022 surveillance case definition went into effect, several states with high Lyme disease incidence had initiated alternative methods of surveillance and those data were not reportable to CDC.\n3. Final case data are subject to each state’s abilities to capture and classify cases, which is dependent upon budget and personnel. This can vary not only between states, but also from year to year within a given state. Consequently, a sudden or marked change in reported cases does not necessarily represent a true change in disease incidence. Every effort should be made to construct analyses to limit overinterpretation of this variation (see the following reference for more context: Kugeler KJ, Eisen RJ. Challenges in Predicting Lyme Disease Risk. JAMA Netw Open. 2020 Mar 2;3(3):e200328. doi: 10.1001/jamanetworkopen.2020.0328.)",
      "accessLevel": "public",
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      "contactPoint": [
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          "@type": "Kind",
          "fn": "Bacterial Diseases Branch Epidemiology & Surveillance Team",
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        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/w6xk-sxm6",
        "@type": "Organization",
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      "keyword": [
        "surveillance",
        "lyme disease"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/x5j9-wybp/export.csv?accessType=DOWNLOAD",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/x5j9-wybp/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/x5j9-wybp",
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            "title": "Columns for this asset"
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          "accessURL": "https://data.cdc.gov/d/x5j9-wybp",
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          "modified": "2026-09-22",
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Lyme disease public use aggregated data with geography, 2022-2023 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/x5j9-wybp",
        "description": "Lyme disease public use aggregated data with geography, 2022-2023 - Dataset Home",
        "issued": "2025-08-19",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/w6xk-sxm6",
            "@type": "Organization",
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          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States of America"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Characteristics Associated with Successful Foodborne Outbreak Investigations, NEARS 2014 - 2016",
      "description": "This study examined relationships between foodborne outbreak investigation characteristics, such as the epidemiological methods used, and the success of the investigation, as determined by whether the investigation identified an outbreak agent (i.e., pathogen), food item, and contributing factor. This study used data from the Centers for Disease Control and Prevention’s (CDC) National Outbreak Reporting System (NORS) and National Environmental Assessment Reporting System (NEARS) to identify outbreak investigation characteristics associated with outbreak investigation success. We identified investigation characteristics that increase the probability of successful outbreak investigations: a robust epidemiology investigation method; a thorough environmental assessment, as measured by number of visits to complete the assessment; and the collection of clinical samples. This research highlights the importance of a comprehensive outbreak investigation, which includes epidemiology, environmental health, and laboratory personnel working together to solve the outbreak.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/x66v-w5ka",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "The National Environmental Assessment Reporting System (NEARS)",
          "hasEmail": "mailto:nears@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/3sbm-4naq",
        "@type": "Organization",
        "name": "Cambridge University - Epidemiology and Infection"
      },
      "keyword": [
        "environmental health",
        "centers for disease control and prevention",
        "foodborne"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/x66v-w5ka/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/x66v-w5ka",
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          "modified": "2026-09-22"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/x66v-w5ka/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/x66v-w5ka",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/x66v-w5ka/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/x66v-w5ka/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/x66v-w5ka",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/x66v-w5ka/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Characteristics Associated with Successful Foodborne Outbreak Investigations, NEARS 2014 - 2016 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/x66v-w5ka",
        "description": "Characteristics Associated with Successful Foodborne Outbreak Investigations, NEARS 2014 - 2016 - Dataset Home",
        "issued": "2023-05-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/3sbm-4naq",
            "@type": "Organization",
            "name": "Cambridge University - Epidemiology and Infection"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:032"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Global Tobacco Surveillance System (GTSS) - Global Health Professions Student Survey (GHPSS)",
      "description": "2005-2011. The World Health Organization, CDC, and the Canadian Public Health Association, developed the GHPSS to collect data on tobacco use and cessation counseling among health professional students in all WHO member states. GHPSS is a standardized school-based survey of third-year students pursuing advanced degrees in dentistry, medicine, nursing, or pharmacy. It is conducted in schools during regular class sessions. GHPSS follows an anonymous, self-administered format for data collection. GHPSS uses a core questionnaire on demographics, prevalence of cigarette smoking and other tobacco use, knowledge and attitudes about tobacco use, exposure to secondhand smoke, desire for smoking cessation, and training received regarding patient counseling on smoking cessation techniques. Questionnaires are translated into local languages as needed. GHPSS has a standardized methodology for selecting participating schools and classes and uniform data processing procedures.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/x6ag-8y7r",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/6thr-55du",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "ghpss",
        "osh",
        "students",
        "tobacco",
        "gtss"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r"
      },
      "distribution": [
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/x6ag-8y7r/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/x6ag-8y7r",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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          }
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/x6ag-8y7r/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/x6ag-8y7r",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/x6ag-8y7r/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/x6ag-8y7r/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/x6ag-8y7r",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/x6ag-8y7r/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/x6ag-8y7r",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/x6ag-8y7r/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/x6ag-8y7r",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Global Tobacco Surveillance System (GTSS) - Global Health Professions Student Survey (GHPSS) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/x6ag-8y7r",
        "description": "Global Tobacco Surveillance System (GTSS) - Global Health Professions Student Survey (GHPSS) - Dataset Home",
        "issued": "2025-01-31",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/6thr-55du",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
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        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/x749-vh2i",
      "identifier": "https://data.cdc.gov/api/views/x749-vh2i",
      "title": "Healthy People 2020 Final Progress Table",
      "description": "[1] Status is determined using the baseline, final, and target value. The statuses used in Healthy People 2020 were:\n\n1 - Target met or exceeded—One of the following applies: (i) At baseline, the target was not met or exceeded, and the most recent value was equal to or exceeded the target. (The percentage of targeted change achieved was equal to or greater than 100%.); (ii) The baseline and most recent values were equal to or exceeded the target. (The percentage of targeted change achieved was not assessed.)\n\n2 - Improved—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved 10% or more of the targeted change.\n\n3 - Little or no detectable change—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was not statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved less than 10% of the targeted change; (iii) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was not statistically significant; (iv) Movement was away from the baseline and target, standard errors were not available, and the objective had moved less than 10% relative to the baseline; (v) No change was observed between the baseline and the final data point.\n\n4 - Got worse—One of the following applies: (i) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was statistically significant; (ii) Movement was away from the baseline and target, standard errors were not available, and the objective had moved 10% or more relative to the baseline.\n\n5 - Baseline only—The objective only had one data point, so progress toward target attainment could not be assessed. Note that if additional data points did not meet the criteria for statistical reliability, data quality, or confidentiality, the objective was categorized as baseline only.\n\n6 - Informational—A target was not set for this objective, so progress toward target attainment could not be assessed.\n\n\n[2] The final value is generally based on data available on the Healthy People 2020 website as of January 2020. For objectives that are continuing into Healthy People 2030, more recent data are available on the Healthy People 2030 website: https://health.gov/healthypeople.\n\n\n[3] For objectives that moved toward their targets, movement toward the target was measured as the percentage of targeted change achieved (unless the target was already met or exceeded at baseline):\n\nPercentage of targeted change achieved = (Final value - Baseline value) / (HP2020 target - Baseline value) * 100\n\n\n[4] For objectives that were not improving, did not meet or exceed their targets, and did not move towards their targets, movement away from the baseline was measured as the magnitude of the percent change from baseline:\n\nMagnitude of percent change from baseline = |Final value - Baseline value| / Baseline value * 100\n\n\n[5] Statistical significance was tested when the objective had a target, at least two data points (of unequal value), and available standard errors of the data. A normal distribution was assumed. All available digits were used to test statistical significance. Statistical significance of the percentage of targeted change achieved or the magnitude of the percentage change from baseline was assessed at the 0.05 level using a normal one-sided test.\n\n\n[6] For more information on the Healthy People 2020 methodology for measuring progress toward target attainment and the elimination of health disparities, see: Healthy People Statistical Notes, no 27; available from: https://www.cdc.gov/nchs/data/statnt/statnt27.pdf.\n\nNOTE: Measurable objectives have baseline data.\nSOURCE: National Center for Health Statistics, Healthy People 2020 database.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
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        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Healthy People 2020 Final Progress Table",
          "description": "[1] Status is determined using the baseline, final, and target value. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/x749-vh2i",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Healthy People 2020 Final Progress Table",
        "accessURL": "https://www.cdc.gov/nchs/healthy_people/hp2020/progress-tables.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Systemic toxicity induced by topical application of perfluoroheptanoic acid (PFHpA), perfluorohexanoic acid (PFHxA), and perfluoropentanoic acid (PFPeA) in a murine model",
      "description": "Perfluoroheptaoinc acid (PFHpA), perfluorohexanoic acid (PFHxA), and perfluoropentanoic acid (PFPeA) are synthetic chemicals belonging to the per- and polyfluoroalkyl substances (PFAS) group that includes over 5,000 chemicals.  PFHpA, PFHxA, and PFPeA are short-chain PFAS (C7, C6, C5, respectively) that have been labeled as a safer alternative to the legacy PFAS perfluorooctanoic acid (PFOA) and perfluorooctane sulfate (PFOS) which have been linked to numerous health effects.  This class of chemicals are incorporated into consumer products such as stain resistant carpeting and textiles, nanosprays, medical devices, and fire-fighting foams.  There is a high potential for occupational exposure and in the environment, short-chain PFAS have been detected in a variety of water sources leading to concerns for dermal exposure, however, these studies are lacking.  In previous studies from our lab, PFOA was demonstrated to be absorbed via the skin and immunomodulatory.  Also, the short-chain PFAS, PFBA, was found to have systemic toxic effects on mice with dermal exposure.  In the present study, the systemic toxicity of a 28-day dermal PFHpA, PFHxA, and PFPeA (1.25-5% w/v or v/v, or 31.25-125 mg/kg/dose) exposure was evaluated in a murine model.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/x7xw-nitb",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Allergy and Clinical Immunology Branch (ACIB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/download/x7xw-nitb/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/x7xw-nitb",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Systemic toxicity induced by topical application of perfluoroheptanoic acid (PFHpA), perfluorohexanoic acid (PFHxA), and perfluoropentanoic acid (PFPeA) in a murine model - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/x7xw-nitb",
        "description": "Systemic toxicity induced by topical application of perfluoroheptanoic acid (PFHpA), perfluorohexanoic acid (PFHxA), and perfluoropentanoic acid (PFPeA) in a murine model - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Medicaid Coverage Of Cessation Treatments And Barriers To Treatments Glossary and Methodology",
      "description": "Download the latest version of the Glossary and Methodology File",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/x7ys-5vpn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "glossary",
        "methodology"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/download/x7ys-5vpn/application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "accessURL": "https://data.cdc.gov/d/x7ys-5vpn",
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          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Medicaid Coverage Of Cessation Treatments And Barriers To Treatments Glossary and Methodology - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/x7ys-5vpn",
        "description": "Medicaid Coverage Of Cessation Treatments And Barriers To Treatments Glossary and Methodology - Dataset Home",
        "issued": "2015-01-21",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "500 Cities: Census Tract Boundaries",
      "description": "This census tract shapefile for the 500 Cities project was extracted from the Census 2010 Tiger/Line database and modified to remove portions of census tracts that were outside of city boundaries. This shapefile can be joined with 500 Cities census tract-level Data (GIS Friendly Format) in a geographic information system (GIS) to make maps at the census tract level.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/x7zy-2xmx",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "500 Cities Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/r74h-6zta",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "boundaries",
        "census tract",
        "500cities",
        "shapefile"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/x7zy-2xmx/application/zip",
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        "description": "500 Cities: Census Tract Boundaries - Dataset Home",
        "issued": "2016-11-08",
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        "description": "NNDSS - TABLE 1FF. Severe acute respiratory syndrome-associated coronavirus disease to Shigellosis - Dataset Home",
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      "@type": "Dataset",
      "title": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus",
      "description": "NNDSS - TABLE 1NN. Viral hemorrhagic fevers, Junin virus to Viral hemorrhagic fevers, Lujo virus – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.\n\nNote: \nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \n\nFootnotes:\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\n Max: Maximum — Maximum case count during the previous 52 weeks.\n  * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \n§ Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as \"viral hemorrhagic fevers\". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.",
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        "lassa virus",
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    {
      "@type": "Dataset",
      "title": "NNDSS Weekly Data",
      "description": "NNDSS - In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\n\n<b>Notes:</b>\n• These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/infectious-disease/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data.\n\n• Notices, errata, and other notes are available in the Notice To Data Users page https://www.cdc.gov/nndss/infectious-disease/notice-to-data-users.html.\n\n• The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\n<b>Footnotes:</b>\n*Case counts for reporting years 2024 and 2025 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\n• Please refer to the Stacks publication for weekly updates to the footnote for influenza-associated pediatric mortality.\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
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        "2024",
        "2023"
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      "title": "Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 10 - Seattle",
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      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Multi-walled carbon nanotubes activate the NLRP3 inflammasome-dependent pyroptosis in M1 macrophages",
      "description": "Exposure to multi-walled carbon nanotubes (MWCNTs) induces inflammation leading to chronic lesions in mammalian lungs. The inflammatory response to MWCNTs involves the polarization of macrophages to M1 and M2 cells that regulate the initiation and resolution of inflammation in a time- and context-dependent manner. Here we investigated the effect of MWCNTs on polarized macrophages and their cell fate in cultured human monocytic THP-1 cells followed by polarization to M1 or M2 cells.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xa9f-vciy",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Receptor Biology Laboratory, Toxicology and Molecular Biology Branch, HELD, NIOSH; Bioanalytics Branch, HELD, NIOSH",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/xa9f-vciy/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/xa9f-vciy",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Multi-walled carbon nanotubes activate the NLRP3 inflammasome-dependent pyroptosis in M1 macrophages - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xa9f-vciy",
        "description": "Multi-walled carbon nanotubes activate the NLRP3 inflammasome-dependent pyroptosis in M1 macrophages - Dataset Home",
        "issued": "2025-06-25",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/xb3p-q62w",
      "identifier": "https://data.cdc.gov/api/views/xb3p-q62w",
      "title": "Indicators of Reduced Access to Care Due to the Coronavirus Pandemic During Last 4 Weeks",
      "description": "The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households.  The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.\n\nThe survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Indicators of Reduced Access to Care Due to the Coronavirus Pandemic During Last 4 Weeks",
          "description": "The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/xb3p-q62w",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Indicators of Reduced Access to Care Due to the Coronavirus Pandemic During Last 4 Weeks",
        "accessURL": "https://www.cdc.gov/nchs/covid19/pulse/reduced-access-to-care.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Standardized Precipitation Index, 1895-2016",
      "description": "This dataset provides data at the county level for the contiguous United States. It includes monthly Standardized Precipitation Index (SPI) data from 1895-2016 provided by the Cooperative Institute for Climate and Satellites - North Carolina. Please refer to the metadata attachment for more information.\r\n\r\nLearn more about drought on the Tracking Network's website: https://ephtracking.cdc.gov/showDroughtLanding.\r\n\r\nBy using these data, you signify your agreement to comply with the following requirements: \r\n1.\tUse the data for statistical reporting and analysis only. \r\n2.\tDo not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. \r\n3.\tDo not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. \r\n4.\tDo not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. \r\n5.\tAcknowledge, in all reports or presentations based on these data, the original source of the data and CDC. \r\n6.\tSuggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. \r\n\r\nProblems or Questions? \r\nEmail trackingsupport@cdc.gov.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xbk2-5i4e",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Craig Kassinger",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/985s-3b5v",
        "@type": "Organization",
        "name": "ynz9"
      },
      "keyword": [
        "drought",
        "environmental health"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xbk2-5i4e/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xbk2-5i4e",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xbk2-5i4e/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xbk2-5i4e",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/xbk2-5i4e/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xbk2-5i4e/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xbk2-5i4e",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/xbk2-5i4e/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Standardized Precipitation Index, 1895-2016 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xbk2-5i4e",
        "description": "Standardized Precipitation Index, 1895-2016 - Dataset Home",
        "issued": "2018-07-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/985s-3b5v",
            "@type": "Organization",
            "name": "ynz9"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:032"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/xbxb-epbu",
      "identifier": "https://data.cdc.gov/api/views/xbxb-epbu",
      "title": "NCHS - Drug Poisoning Mortality by State: United States (xbxb-epbu)",
      "description": "This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning.\n\nDeaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).\n\nEstimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2016 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.\n\nDeath rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances.\n\nREFERENCES\n1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm.\n\n2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Drug Poisoning Mortality by State: United States (xbxb-epbu)",
          "description": "This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/xbxb-epbu",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Drug Poisoning Mortality by State: United States (xbxb-epbu)",
        "accessURL": "https://www.cdc.gov/nchs/data-visualization/drug-poisoning-mortality/"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Potent Lung Tumor Promotion by Inhaled MWCNT",
      "description": "In the lung, carcinogenesis is a multi-stage process that includes initiation by a genotoxic agent, promotion that expands the population of cells with damaged DNA to form a tumor, and progression from benign to malignant neoplasms. We have previously shown that Mitsui-7, a long and rigid multi-walled carbon nanotube (MWCNT), promotes pulmonary carcinogenesis in a mouse model. To investigate the potential exposure threshold and dose-response for tumor promotion by this MWCNT, 3-methylcholanthrene (MC) initiated (10 μg/g, i.p., once) or vehicle (corn oil) treated B6C3F1 mice were exposed by inhalation to filtered air or MWCNT (5 mg/m3) for 5 hours/day for 0, 2, 5, or 10 days and were followed for 17 months  post-exposure for evidence of lung tumors.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xd2k-siai",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Pathology and Physiology Research Branch, Health Effects Laboratory Division",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/xd2k-siai/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/xd2k-siai",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Potent Lung Tumor Promotion by Inhaled MWCNT - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xd2k-siai",
        "description": "Potent Lung Tumor Promotion by Inhaled MWCNT - Dataset Home",
        "issued": "2024-11-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Going Smokefree Matters - Casinos Infographic",
      "description": "Explore the Going Smokefree Matters - Casinos Infographic which outlines key facts related to the effects of secondhand smoke exposure in casinos.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xdg2-nh8n",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "smokefree",
        "casinos",
        "fact sheet",
        "gaming",
        "infographic",
        "secondhand smoke"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/xdg2-nh8n/application/pdf",
          "accessURL": "https://data.cdc.gov/d/xdg2-nh8n",
          "mediaType": "application/pdf",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Going Smokefree Matters - Casinos Infographic - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xdg2-nh8n",
        "description": "Going Smokefree Matters - Casinos Infographic - Dataset Home",
        "issued": "2016-01-20",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Vaccination Coverage among Health Care Personnel",
      "description": "Vaccination Coverage among Health Care Personnel\n\n• Data on influenza vaccination performance measurement from the National Healthcare Safety Network (NHSN) for hospital-based health care personnel (HCP) at the national and state levels by personnel group.\n\n• Additional information available at https://www.cdc.gov/flu/fluvaxview/index.htm",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xerk-pcm8",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "NCIRD"
      },
      "keyword": [
        "flu vaccination",
        "vaccination coverage",
        "vaccination",
        "influenza",
        "vaxviews",
        "immunization"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xerk-pcm8/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xerk-pcm8",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xerk-pcm8/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xerk-pcm8",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/xerk-pcm8/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xerk-pcm8/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xerk-pcm8",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/xerk-pcm8/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Vaccination Coverage among Health Care Personnel - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xerk-pcm8",
        "description": "Vaccination Coverage among Health Care Personnel - Dataset Home",
        "issued": "2021-10-07",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "NCIRD"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Phase Level Assessment of Ergonomic Intervention Effectiveness in Reducing Knee Musculoskeletal Disorder Risks during Residential Roof Shingle Installation",
      "description": "The prevalence of knee musculoskeletal disorders (MSDs) among roofers due to ergonomically unfavorable kneeling postures during shingle installation is a well-recognized concern. While knee-saving interventions like knee savers (KSs) and knee pads (KPs) have shown potential to reduce MSD risks, their effectiveness across different phases of shingle installation remains unknown. The objective of this study is to assess how interventions of KSs and KPs alleviate risks of MSDs in the knees during various phases of shingle installation. These phases encompass (1) reaching for shingles, (2) placing shingles, (3) grabbing a nail gun, (4) moving to the first nailing position, (5) nailing shingles, (6) replacing the nail gun, and (7) returning to an upright position. To collect data, nine male participants simulated the shingle installation task on a slope-adjustable roof platform (0°, 15°, and 30° slopes) under four intervention conditions: no intervention (NO), with KPs only (KP), with KSs only (KS), and with both KPs and KSs (BO) in a laboratory setting. Knee parameters including maximum flexion, abduction, adduction, and internal/external rotations were measured at all phases to assess intervention impacts through statistical analysis.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xfin-5shj",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Physical Effects Research Branch (PERB), Health Effects Laboratory Division (HELD), National Institute for Occupational Safety and Health",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/xfin-5shj/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/xfin-5shj",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Phase Level Assessment of Ergonomic Intervention Effectiveness in Reducing Knee Musculoskeletal Disorder Risks during Residential Roof Shingle Installation - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xfin-5shj",
        "description": "Phase Level Assessment of Ergonomic Intervention Effectiveness in Reducing Knee Musculoskeletal Disorder Risks during Residential Roof Shingle Installation - Dataset Home",
        "issued": "2025-02-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Systemic and immunotoxicity induced by topical application of perfluoroheptane sulfonic acid (PFHpS) or perfluorooctane sulfonic acid (PFOS) in a murine model",
      "description": "Per- and polyfluoroalkyl substances (PFAS) are a large group of synthetic man-made surfactants of over 12,000 compounds that are incorporated into numerous products for their chemical and physical properties.  Numerous PFAS have been associated with adverse health effects.  Although there is a high potential for dermal exposure, these studies are lacking.  The present study evaluated the systemic and immunotoxicity of sub-chronic 28- or 10-day dermal exposure, respectively, to of PFHpS (0.3125-2.5% or 7.82-62.5 mg/kg/dose) or PFOS (0.5% or 12.5 mg/kg/dose) in a murine model.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xfk2-6xmb",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Allergy and Clinical Immunology Branch (ACIB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/xfk2-6xmb/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/xfk2-6xmb",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Systemic and immunotoxicity induced by topical application of perfluoroheptane sulfonic acid (PFHpS) or perfluorooctane sulfonic acid (PFOS) in a murine model - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xfk2-6xmb",
        "description": "Systemic and immunotoxicity induced by topical application of perfluoroheptane sulfonic acid (PFHpS) or perfluorooctane sulfonic acid (PFOS) in a murine model - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Coverage Assistance Fund: Claims Reimbursement to Health Care Providers and Facilities for Services to the Underinsured",
      "description": "The COVID-19 Coverage Assistance Fund provides reimbursements on a rolling basis directly to eligible health care entities for costs associated with administering COVID-19 vaccines to underinsured individuals, who are defined for this purpose as having a health plan that either does not include COVID-19 vaccine administration as a covered benefit or covers COVID-19 vaccine administration but with cost-sharing.\n\nThe program funding information is as follows: The Coronavirus Aid, Relief, and Economic Security (CARES) Act (P.L. 116-136), appropriated $100 billion to reimburse eligible health care providers for health care related expenses or lost revenues that are attributable to coronavirus. The Paycheck Protection Program and Health Care Enhancement Act or PPPHCEA (P.L. 116-139) appropriated an additional $75 billion for relief funds, and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act appropriated an additional $3 billion.  HRSA established the Provider Relief Fund (PRF) to administer payments to eligible providers. A portion of the PRF funds are being used to provide reimbursement to providers for administering Food and Drug Administration (FDA) authorized COVID-19 vaccines under an Emergency Use Authorization (EUA) or FDA-licensed COVID-19 vaccines under a Biologics License Application (BLA) to underinsured individuals. To learn more about the program, visit: https://www.hrsa.gov/covid19-coverage-assistance\n\nThis dataset represents the list of health care entities who have agreed to the Terms and Conditions and received claims reimbursement for costs associated with administering COVID-19 vaccines to underinsured individuals.\n\nFor Provider Relief Fund Data - https://data.cdc.gov/Administrative/HHS-Provider-Relief-Fund/kh8y-3es6",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xgy8-wnft",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "HRSA Chief Data Officer",
          "hasEmail": "mailto:PRFdata@hrsa.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/tjyw-xtku",
        "@type": "Organization",
        "name": "HRSA"
      },
      "keyword": [
        "coronavirus preparedness and response supplemental appropriations act",
        "covid-19",
        "paycheck protection program and health care enhancement act",
        "relief",
        "coronavirus aid",
        "and economic security act"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xgy8-wnft/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xgy8-wnft",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xgy8-wnft/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xgy8-wnft",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/xgy8-wnft/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xgy8-wnft/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xgy8-wnft",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/xgy8-wnft/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "COVID-19 Coverage Assistance Fund: Claims Reimbursement to Health Care Providers and Facilities for Services to the Underinsured - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xgy8-wnft",
        "description": "COVID-19 Coverage Assistance Fund: Claims Reimbursement to Health Care Providers and Facilities for Services to the Underinsured - Dataset Home",
        "issued": "2021-10-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/tjyw-xtku",
            "@type": "Organization",
            "name": "HRSA"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:15"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/xkb8-kh2a",
      "identifier": "https://data.cdc.gov/api/views/xkb8-kh2a",
      "title": "VSRR Provisional Drug Overdose Death Counts",
      "description": "This data presents provisional counts for drug overdose deaths based on a current flow of mortality data in the National Vital Statistics System. Counts for the most recent final annual data are provided for comparison. National provisional counts include deaths occurring within the 50 states and the District of Columbia as of the date specified and may not include all deaths that occurred during a given time period. Provisional counts are often incomplete and causes of death may be pending investigation resulting in an underestimate relative to final counts. To address this, methods were developed to adjust provisional counts for reporting delays by generating a set of predicted provisional counts.\n\nSeveral data quality metrics, including the percent completeness in overall death reporting, percentage of deaths with cause of death pending further investigation, and the percentage of drug overdose deaths with specific drugs or drug classes reported are included to aid in interpretation of provisional data as these measures are related to the accuracy of provisional counts. Reporting of the specific drugs and drug classes involved in drug overdose deaths varies by jurisdiction, and comparisons of death rates involving specific drugs across selected jurisdictions should not be made. Provisional data presented will be updated on a monthly basis as additional records are received.\n\nFor more information please visit: https://www.cdc.gov/nchs/nvss/vsrr/drug-overdose-data.htm",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "VSRR Provisional Drug Overdose Death Counts",
          "description": "This data presents provisional counts for drug overdose deaths based on a current flow of mortality data in the National Vital Statistics System. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/xkb8-kh2a",
          "modified": "2026-07-16"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-16",
      "landingPage": {
        "@type": "Document",
        "title": "VSRR Provisional Drug Overdose Death Counts",
        "accessURL": "https://www.cdc.gov/nchs/nvss/vsrr/drug-overdose-data.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/xkkf-xrst",
      "identifier": "https://data.cdc.gov/api/views/xkkf-xrst",
      "title": "Excess Deaths Associated with COVID-19",
      "description": "Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nEstimates of excess deaths can provide information about the burden of mortality potentially related to COVID-19, beyond the number of deaths that are directly attributed to COVID-19. Excess deaths are typically defined as the difference between observed numbers of deaths and expected numbers. This visualization provides weekly data on excess deaths by jurisdiction of occurrence. Counts of deaths in more recent weeks are compared with historical trends to determine whether the number of deaths is significantly higher than expected.\n\nEstimates of excess deaths can be calculated in a variety of ways, and will vary depending on the methodology and assumptions about how many deaths are expected to occur. Estimates of excess deaths presented in this webpage were calculated using Farrington surveillance algorithms (1). For each jurisdiction, a model is used to generate a set of expected counts, and the upper bound of the 95% Confidence Intervals (95% CI) of these expected counts is used as a threshold to estimate excess deaths. Observed counts are compared to these upper bound estimates to determine whether a significant increase in deaths has occurred. Provisional counts are weighted to account for potential underreporting in the most recent weeks. However, data for the most recent week(s) are still likely to be incomplete. Only about 60% of deaths are reported within 10 days of the date of death, and there is considerable variation by jurisdiction. More detail about the methods, weighting, data, and limitations can be found in the Technical Notes.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Excess Deaths Associated with COVID-19",
          "description": "Effective September 27, 2023, this dataset will no longer be updated. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/xkkf-xrst",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Excess Deaths Associated with COVID-19",
        "accessURL": "https://www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2012 (Part 3 of 20)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 30 of 48 and corresponds to the time range between March 5, 2012, and March 12, 2012.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xm59-q868",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/xm59-q868/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/xm59-q868",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2012 (Part 3 of 20) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xm59-q868",
        "description": "Elk Creek Seismic Waveforms 2012 (Part 3 of 20) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Applied force alters sensorineural and peripheral vascular function in an animal model of hand-arm vibration syndrome",
      "description": "Working with vibrating hand tools is associated with the development of hand-arm vibration syndrome (HAVS).  HAVS is characterized by cold-induced vasospasms, finger blanching and changes in sensory function.  Vibration plays a major role in the development of the symptoms that are characteristic of HAVS, however, the hands and fingers of worker using tools are also exposed to pressure applied as the workers grip tools.  The pressure applied by gripping a tool might also affect blood flow and sensorineural function.  Therefore, this study examined the effects of applied pressure [2 and 4 newtons (N)] on peripheral vascular and sensorineural function using a characterized rat tail model.  The tails of rats were exposed to 0, 2 or 4N of applied force for 10 days.  Blood flow (laser doppler) and sensitivity of the tail to pressure (Randall-Selitto pressure test) was measured on days 1, 5 and 10 of the exposure.  The sensitivity of the tail nerves to electrical stimulation was measured on days 2 and 9.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xm7q-e7uu",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Physical Effects Research Branch (PERB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/xm7q-e7uu/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/xm7q-e7uu",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Applied force alters sensorineural and peripheral vascular function in an animal model of hand-arm vibration syndrome - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xm7q-e7uu",
        "description": "Applied force alters sensorineural and peripheral vascular function in an animal model of hand-arm vibration syndrome - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Daily Census Tract-Level Ozone Concentrations, 2006-2010",
      "description": "This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2006-2010. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.\n\nLearn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.\n\nBy using these data, you signify your agreement to comply with the following requirements:\n1. Use the data for statistical reporting and analysis only.\n2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.\n3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.\n4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.\n5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.\n6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xm94-zmtx",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Craig Kassinger",
          "hasEmail": "mailto:trackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/4zyv-yjue",
        "@type": "Organization",
        "name": "cak8@cdc.gov"
      },
      "keyword": [
        "ozone",
        "environmental health",
        "air pollution",
        "asthma"
      ],
      "modified": "2026-09-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xm94-zmtx/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xm94-zmtx",
          "mediaType": "text/csv",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xm94-zmtx/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xm94-zmtx",
          "mediaType": "application/json",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/xm94-zmtx/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xm94-zmtx/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xm94-zmtx",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/xm94-zmtx/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Daily Census Tract-Level Ozone Concentrations, 2006-2010 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xm94-zmtx",
        "description": "Daily Census Tract-Level Ozone Concentrations, 2006-2010 - Dataset Home",
        "issued": "2020-05-28",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/4zyv-yjue",
            "@type": "Organization",
            "name": "cak8@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Quantification of mechanical behavior of rat tail under compression",
      "description": "The development of vibration-induced finger disorders is likely associated with combined static and dynamic responses of the fingers to vibration exposure. To study the mechanisms of these disorders, a new rat-tail model has been established to mimic the finger pressure and vibration exposures. However, the mechanical behavior of the tail during compression needs to be better understood to improve the model and its applications. The purpose of the current study was to investigate the static and time-dependent force responses of the rat tail during compression. Compression tests were conducted on male Sprague-Dawley cadaver rat tails using a micromechanical testing system at three deformation velocities and three deformation magnitudes. Contact-width, and the time-histories of force and deformation were measured. Additionally, force-relaxation tests were conducted and a Prony series was used to model the force-relaxation behavior of the tail.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xmn2-yrqr",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Physical Effects Research Branch (PERB), Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/xmn2-yrqr/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/xmn2-yrqr",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Quantification of mechanical behavior of rat tail under compression - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xmn2-yrqr",
        "description": "Quantification of mechanical behavior of rat tail under compression - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/xmrr-rw5u",
      "identifier": "https://data.cdc.gov/api/views/xmrr-rw5u",
      "title": "AH Provisional COVID-19 Deaths by County and Age for 2020",
      "description": "Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by United States county of residence and age group, from January 1, 2020 through December 31, 2020.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Provisional COVID-19 Deaths by County and Age for 2020",
          "description": "Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by United States county of residence and age group, from January 1, 2020 through December 31, 2020. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/xmrr-rw5u",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Provisional COVID-19 Deaths by County and Age for 2020",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality",
      "description": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\n Max: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Since [INSERT DATE], XXX influenza-associated pediatric deaths occurring during the 2017-18 season have been reported.",
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        "@type": "Document",
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        "accessURL": "https://data.cdc.gov/d/xna8-x7qg",
        "description": "NNDSS - TABLE 1R. Hepatitis C, perinatal infection to Influenza-associated pediatric mortality - Dataset Home",
        "issued": "2019-04-26",
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    },
    {
      "@type": "Dataset",
      "title": "Preliminary Estimates of Cumulative COVID-19 Hospitalizations by Week",
      "description": "This dataset represents preliminary weekly estimates of cumulative U.S. COVID-19 hospitalizations since the start of 2024 respiratory season. Estimates are preliminary, and use reported weekly hospitalizations among people with a laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The data are updated weekly as new COVID-19 hospitalizations are reported to CDC from the COVID-NET surveillance system and include both new admissions that occurred during the reporting week, as well as those admitted in previous weeks that may not have been included in earlier reporting. Each week CDC estimates a range (i.e., a lower estimate and an upper estimate) of COVID-19 hospitalizations that have occurred since the start of respiratory season. For details, please refer to the publications [1, 8].  \n\n<b>Note:</b> Data are preliminary and subject to change as updated data become available. Rates for recent COVID-19 hospital admissions are subject to reporting delays; as new data are received each week, previous rates are updated accordingly. The methodology used for COVID-19 burden estimation between the surveillance periods was updated to account for inclusion of additional surveillance sites, seasonal changes to adjustment factors, revised outpatient visits, illnesses and death multiplier ratios, and improvements in estimation methods [1].\n\n<b>References</b>\n1. Koumans EHA, Khan D, Trejo I, et al; Estimate of Burden of COVID-19 Workgroup. Estimated burden of COVID-19 illnesses, medical visits, hospitalizations, and deaths in the US from October 2022 to September 2024. JAMA Intern Med. Published online January 5, 2026. <a href=\"https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2843383#250739811\">Estimated Burden of COVID-19 Illnesses, Medical Visits, Hospitalizations, and Deaths in the US From October 2022 to September 2024 | Coronavirus (COVID-19) | JAMA Internal Medicine | JAMA Network</a><br>2. Reed C, Chaves SS, Daily Kirley P, et al. Estimating influenza disease burden from population-based surveillance data in the United States. PLoS One. 2015;10(3):e0118369. <a href=\"https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0118369\">Estimating Influenza Disease Burden from Population-Based Surveillance Data in the United States | PLOS One</a><br>3. Rolfes, MA, Foppa, IM, Garg, S, et al. Annual estimates of the burden of seasonal influenza in the United States: A tool for strengthening influenza surveillance and preparedness. Influenza Other Respi Viruses. 2018; 12: 132– 137. <a href=\"https://doi.org/10.1111/irv.12486\">https://doi.org/10.1111/irv.12486</a><br>4. Tokars JI, Rolfes MA, Foppa  IM, Reed C.  An evaluation and update of methods for estimating the number of influenza cases averted by vaccination in the United States. Vaccine. 2018;36(48):7331-7337. doi:10.1016/j.vaccine.2018.10.026 <br>5. Collier SA, Deng L, Adam EA, Benedict KM, Beshearse EM, Blackstock AJ, Bruce BB, Derado G, Edens C, Fullerton KE, Gargano JW, Geissler AL, Hall AJ, Havelaar AH, Hill VR, Hoekstra RM, Reddy SC, Scallan E, Stokes EK, Yoder JS, Beach MJ. Estimate of Burden and Direct Healthcare Cost of Infectious Waterborne Disease in the United States. Emerg Infect Dis. 2021 Jan;27(1):140-149. doi: 10.3201/eid2701.190676. PMID: 33350905; PMCID: PMC7774540. <br>6. Reed C, Kim IK, Singleton JA,  et al. Estimated influenza illnesses and hospitalizations averted by vaccination–United States, 2013-14 influenza season. MMWR Morb Mortal Wkly Rep. 2014 Dec 12;63(49):1151-4. https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6349a2.htm <br>7. Reed C, Angulo FJ, Swerdlow DL, et al. Estimates of the Prevalence of Pandemic (H1N1) 2009, United States, April–July 2009. Emerg Infect Dis. 2009;15(12):2004-2007.<a href=\"https://dx.doi.org/10.3201/eid1512.091413\">https://dx.doi.org/10.3201/eid1512.091413</a> <br>8. Devine O, Pham H, Gunnels B, Reese HE, Steele M, Couture A, Iuliano D, Sachdev D, Alden NB, Meek J, Witt L,",
      "accessLevel": "public",
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        }
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        "coronavirus",
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        "@type": "Document",
        "title": "Preliminary Estimates of Cumulative COVID-19 Hospitalizations by Week - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xnjn-rdmd",
        "description": "Preliminary Estimates of Cumulative COVID-19 Hospitalizations by Week - Dataset Home",
        "issued": "2024-09-23",
        "publisher": [
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          "endDate": "2026-08-29"
        }
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC Wastewater Data for Mpox",
      "description": "This dataset provides a complete time history of monkeypox virus wastewater sample data and calculated metrics from US sampling locations.\n\nCDC’s National Wastewater Surveillance System (NWSS) includes data collected and reported by:\n• All data with a source designation of “State_Territory” were generated by state and local health departments are reported to CDC and supported with funding through the Epidemiology and Laboratory Capacity for the Prevention and Control of Emerging Infectious Diseases (ELC) Cooperative Agreement (https://www.cdc.gov/epidemiology-laboratory-capacity/php/our-work/index.html).\n• All data with a source designation of “CDC_Verily” were generated by CDC’s national wastewater testing contract (currently with Verily Life Sciences, LLC).\n• All data with a source designation of “WastewaterSCAN” were generated by WastewaterSCAN, a partnership between Stanford University, Emory University, and Verily. All results are understood to be based on inputs that are experimental in nature and are not intended to diagnose or treat any disease. The results are provided “as is” and without warranty of any kind. Stanford does not accept liability for any claim arising out of or in connection with the disclosure of these results. WastewaterSCAN indicates that by accessing or copying any part of the database, the user accepts the terms of Stanford’s license (CC BY-NC 4.0). These data are being made available to inform public health decision making. Anyone seeking to use the database for other purposes or for research is required to contact the WastewaterSCAN / SCAN team (email: wwscan_stanford_emory@lists.stanford.edu) and any use of the data should be cited appropriately (https://data.wastewaterscan.org/about/#18).\n\nLearn more at: www.cdc.gov/wastewater.\n\nThis dataset is updated weekly on Fridays.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xpxn-rzgz",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Wastewater Surveillance System (NWSS)",
          "hasEmail": "mailto:NWSS@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/mt3r-qr2b",
        "@type": "Organization",
        "name": "NWSS"
      },
      "keyword": [
        "nwss",
        "united states",
        "weekly",
        "monkeypox virus",
        "mpxv",
        "ncezid",
        "wastewater"
      ],
      "modified": "2026-09-23",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/xpxn-rzgz/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xpxn-rzgz",
          "mediaType": "text/csv",
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        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/xpxn-rzgz/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xpxn-rzgz",
          "mediaType": "application/json",
          "modified": "2026-09-23",
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            "title": "Columns for this asset"
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        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/xpxn-rzgz/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xpxn-rzgz",
          "mediaType": "application/xml",
          "modified": "2026-09-23",
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            "title": "Columns for this asset"
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC Wastewater Data for Mpox - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xpxn-rzgz",
        "description": "CDC Wastewater Data for Mpox - Dataset Home",
        "issued": "2026-03-06",
        "publisher": [
          {
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      "spatial": {
        "@type": "Location",
        "prefLabel": "US States and Territories"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Effects of Crystalline Silica Inhalation in a High-Fat Western Diet",
      "description": "Adipose tissue (AT), an endocrine organ, plays a central role in maintenance of whole-body energy homeostasis through its release of adipokines. Obesity, affecting over 40% of American adults, disrupts adipocyte metabolism leading to chronic systemic inflammation and metabolic dysfunction (MetDys). MetDys is associated with impaired lung function, pulmonary hypertension, and asthma. The aim of this study was to investigate the effects of silica inhalation in a pre-existing MetDys animal model to determine if an occupational exposure of silica dust has the potential to initiate or further the progression of MetDys associated conditions.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xqmi-ykpp",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "Health Effects Laboratory Research, Pathology and Physiology Research Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/xqmi-ykpp",
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        }
      ],
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        "@type": "Document",
        "title": "Effects of Crystalline Silica Inhalation in a High-Fat Western Diet - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xqmi-ykpp",
        "description": "Effects of Crystalline Silica Inhalation in a High-Fat Western Diet - Dataset Home",
        "issued": "2024-11-14",
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            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
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        "009:034"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Pulmonary and Systemic Responses in Rats Following Intratracheal Instillation of Engineered Stone Dusts, Granite, and Silica",
      "description": "This dataset contains information about how the lungs and bodies of laboratory rats responded after being exposed to dust from different types of engineered stone countertops, natural granite, and pure silica (a known hazardous material). Researchers looked at signs of inflammation, cell damage, and scarring (fibrosis) in the lungs, as well as changes in blood cell counts and chemistry, at different time points after a single exposure. The study found that engineered stone dust, especially types with high silica content, caused significant and lasting lung inflammation and damage, similar to the effects of pure silica. This helps us understand the potential health risks for workers who cut, grind, or install engineered stone countertops.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xrrz-xivk",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "William Mandler",
          "hasEmail": "mailto:oex1@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/u83t-x93e",
        "@type": "Organization",
        "name": "Garrett Burnett"
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      "modified": "2026-09-10",
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        "@type": "Document",
        "title": "Pulmonary and Systemic Responses in Rats Following Intratracheal Instillation of Engineered Stone Dusts, Granite, and Silica - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xrrz-xivk",
        "description": "Pulmonary and Systemic Responses in Rats Following Intratracheal Instillation of Engineered Stone Dusts, Granite, and Silica - Dataset Home",
        "issued": "2026-05-19",
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            "@id": "https://data.cdc.gov/user/u83t-x93e",
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            "name": "Garrett Burnett"
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      },
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      ],
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        "009:034"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1H. Cholera to Coccidioidomycosis",
      "description": "NNDSS - Table 1H. Cholera to Coccidioidomycosis - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html \r\n\r\nFootnotes: \r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xsi2-33p5",
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          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "cholera",
        "wonder",
        "nndss",
        "2019",
        "netss",
        "nedss",
        "coccidioidomycosis"
      ],
      "modified": "2026-09-09",
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        "@type": "Document",
        "title": "NNDSS - TABLE 1H. Cholera to Coccidioidomycosis - Dataset Home",
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        "title": "CDC STATE System Tobacco Legislation - Preemption - Dataset Home",
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        "description": "CDC STATE System Tobacco Legislation - Preemption - Dataset Home",
        "issued": "2023-07-18",
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    },
    {
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      "title": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014,  Region 9 - San Francisco",
      "description": "Rate of deaths by age/sex (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.\n\nUpdated on April 28, 2025, to comply with the President’s Executive Order 14168.",
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      "keyword": [
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        "title": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014,  Region 9 - San Francisco - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xsu4-4sk9",
        "description": "Motor Vehicle Occupant Death Rate, by Age and Sex, 2012 & 2014,  Region 9 - San Francisco - Dataset Home",
        "issued": "2016-10-18",
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      "title": "Visits to physician offices, hospital outpatient departments, and hospital emergency departments, by age, sex, and race: United States",
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          "@type": "dcat:Distribution",
          "title": "Visits to physician offices, hospital outpatient departments, and hospital emergency departments, by age, sex, and race: United States",
          "description": "Data on visits to physician offices, hospital outpatient departments and hospital emergency departments by selected population characteristics. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
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    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Babesiosis to Campylobacteriosis",
      "description": "NNDSS - Table II. Babesiosis to Campylobacteriosis - 2017. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\nU: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.\r\n \r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.",
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        "accessURL": "https://data.cdc.gov/d/xuah-ug7z",
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    {
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          "fn": "Division of Safety Research, Protective Technology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
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        }
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      "landingPage": {
        "@type": "Document",
        "title": "Firefighter Body Dimensions for Updating Safety Specifications for Fire Apparatus and Firefighter Protective Equipment - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xup8-ahj8",
        "description": "Firefighter Body Dimensions for Updating Safety Specifications for Fire Apparatus and Firefighter Protective Equipment - Dataset Home",
        "issued": "2024-11-14",
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      "programCode": [
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Shiga toxin to Shigellosis",
      "description": "NNDSS - Table II. Shiga toxin to Shigellosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.   NP:  Nationally notifiable but not published.   Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n \r\n* Case counts for reporting year 2016 are provisional and subject to change.   For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.   Data for TB are displayed in Table IV, which appears quarterly.  \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table II to facilitate case count verification with reporting jurisdictions.\r\n§ Includes E. coli O157:H7; Shiga toxin-positive, serogroup non-O157; and Shiga toxin-positive, not serogrouped.",
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      "keyword": [
        "netss",
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        "shiga toxin-producing e. coli",
        "shigellosis",
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        "mmwr",
        "nedss"
      ],
      "modified": "2026-09-09",
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          "accessURL": "https://data.cdc.gov/d/xv7k-8e7s",
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        "accessURL": "https://data.cdc.gov/d/xv7k-8e7s",
        "description": "NNDSS - Table II. Shiga toxin to Shigellosis - Dataset Home",
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          {
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable",
      "description": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\nNotes:\n\n•\tThese are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.\n•\tThe list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xvdv-hq7x",
      "contactPoint": [
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          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "invasive pneumococcal disease",
        "wonder",
        "probable",
        "nndss",
        "netss",
        "nedss",
        "2022",
        "all ages",
        "confirmed"
      ],
      "modified": "2026-09-10",
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      "landingPage": {
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        "description": "NNDSS - TABLE 1S. Invasive pneumococcal disease, all ages, Confirmed to Invasive pneumococcal disease, all ages, Probable - Dataset Home",
        "issued": "2022-01-14",
        "publisher": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC PRAMStat Data for 2010",
      "description": "2010. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xvu4-xjdb",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DRH Public Inquiries",
          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/uj8q-r4hw",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "obesity",
        "wic",
        "unintended pregnancy",
        "tobacco use",
        "stress",
        "smoke exposure",
        "sleep behavior",
        "reproductive health",
        "prenatal care",
        "pregnancy history",
        "preconception health",
        "morbidity",
        "mental health",
        "medicaid",
        "infant health",
        "contraception",
        "breastfeeding",
        "alcohol use",
        "abuse"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2010/xvu4-xjdb"
      },
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/xvu4-xjdb/export.csv?accessType=DOWNLOAD",
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          "mediaType": "text/csv",
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          "accessURL": "https://data.cdc.gov/d/xvu4-xjdb",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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          }
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          "downloadURL": "https://data.cdc.gov/api/v3/views/xvu4-xjdb/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xvu4-xjdb",
          "mediaType": "application/xml",
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          "downloadURL": "https://data.cdc.gov/api/v3/views/xvu4-xjdb/query.geojson?accessType=DOWNLOAD",
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      ],
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        "title": "CDC PRAMStat Data for 2010 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xvu4-xjdb",
        "description": "CDC PRAMStat Data for 2010 - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
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      "bureauCode": [
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      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "COVID-19 Deaths Among Healthcare Personnel, by week - ARCHIVED",
      "description": "COVID-19 Deaths Among Healthcare Personnel, by week",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xwa7-cukt",
      "contactPoint": [
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          "fn": "CDC-INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
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      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "NCIRD-CORVD"
      },
      "keyword": [
        "deaths",
        "healthcare worker",
        "healthcare personnel",
        "ncird-corvd",
        "covid-19",
        "coronavirus"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/xwa7-cukt/export.csv?accessType=DOWNLOAD",
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      ],
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        "title": "COVID-19 Deaths Among Healthcare Personnel, by week - ARCHIVED - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xwa7-cukt",
        "description": "COVID-19 Deaths Among Healthcare Personnel, by week - ARCHIVED - Dataset Home",
        "issued": "2023-09-18",
        "publisher": [
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            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "NCIRD-CORVD"
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        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US"
      },
      "bureauCode": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Place Data (GIS Friendly Format), 2023 release",
      "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia —at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 36 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xx8k-iu94",
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          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
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        "prevalence",
        "places",
        "place",
        "outcomes",
        "health",
        "gis",
        "disability",
        "city",
        "behaviors",
        "status",
        "risk"
      ],
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        },
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            "title": "Columns for this asset"
          }
        },
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/xx8k-iu94/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xx8k-iu94",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xx8k-iu94/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xx8k-iu94",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xx8k-iu94/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xx8k-iu94",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Place Data (GIS Friendly Format), 2023 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xx8k-iu94",
        "description": "PLACES: Place Data (GIS Friendly Format), 2023 release - Dataset Home",
        "issued": "2024-07-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
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        "009:20"
      ],
      "programCode": [
        "009:020"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Applied pressure alters circulating hormone levels and biomarkers of peripheral vascular, sensorineural dysfunction",
      "description": "Workers that regularly use vibrating hand tools as part of their job are at risk of developing hand-arm vibration syndrome (HAVS).  HAVS is characterized by cold-induced vasospasms that result in blanching of the fingers and hands, loss of sensation, pain, and reductions in manual dexterity, all of which can affect a worker’s ability to perform their job and their quality of life.  Vibration exposure significantly contributes to the development of these symptoms by increasing the stress and strain within exposed tissues, which in turn can affect functioning of blood vessels, nerves and sensory receptors in those tissues.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xy5u-nzbq",
      "contactPoint": [
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          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/xy5u-nzbq/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/xy5u-nzbq",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Applied pressure alters circulating hormone levels and biomarkers of peripheral vascular, sensorineural dysfunction - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xy5u-nzbq",
        "description": "Applied pressure alters circulating hormone levels and biomarkers of peripheral vascular, sensorineural dysfunction - Dataset Home",
        "issued": "2024-12-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
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      "programCode": [
        "009:034"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/xy7w-35q7",
      "identifier": "https://data.cdc.gov/api/views/xy7w-35q7",
      "title": "AH Provisional COVID-19 Deaths by HHS Region, Race, and Age, 2015-2021",
      "description": "Provisional deaths involving coronavirus disease 2019 (COVID-19) and deaths from all causes reported to NCHS by week the death occurred, HHS region of occurrence, race and Hispanic origin, and age group (0-24, 25-64, 65+ years), from 2015-2021.\n\nUnited States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Provisional COVID-19 Deaths by HHS Region, Race, and Age, 2015-2021",
          "description": "Provisional deaths involving coronavirus disease 2019 (COVID-19) and deaths from all causes reported to NCHS by week the death occurred, HHS region of occurrence, race and Hispanic origin, and age group (0-24, 25-64, 65+ years), from 2015-2021. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/xy7w-35q7",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Provisional COVID-19 Deaths by HHS Region, Race, and Age, 2015-2021",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: County Data (GIS Friendly Format), 2022 release",
      "description": "This dataset contains model-based county-level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2020 or 2019 county population estimates, and American Community Survey (ACS) 2016–2020 or 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census 2020 county boundary file in a GIS system to produce maps for 29 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xyst-f73f",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "gis",
        "health",
        "status",
        "risk",
        "prevention",
        "prevalence",
        "places",
        "outcomes",
        "behaviors",
        "county"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xyst-f73f/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xyst-f73f",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xyst-f73f/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xyst-f73f",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xyst-f73f/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xyst-f73f",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/xyst-f73f/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xyst-f73f/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xyst-f73f",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xyst-f73f/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xyst-f73f",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xyst-f73f/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xyst-f73f",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: County Data (GIS Friendly Format), 2022 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xyst-f73f",
        "description": "PLACES: County Data (GIS Friendly Format), 2022 release - Dataset Home",
        "issued": "2023-06-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC PRAMStat Data for 2004",
      "description": "2004. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/xyxp-dxa9",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DRH Public Inquiries",
          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/uj8q-r4hw",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "alcohol use",
        "infant health",
        "medicaid",
        "abuse",
        "stress",
        "tobacco use",
        "unintended pregnancy",
        "wic",
        "breastfeeding",
        "contraception",
        "mental health",
        "morbidity",
        "obesity",
        "preconception health",
        "pregnancy history",
        "prenatal care",
        "reproductive health",
        "sleep behavior",
        "smoke exposure"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2004/xyxp-dxa9"
      },
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/xyxp-dxa9/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xyxp-dxa9",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xyxp-dxa9/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xyxp-dxa9",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/xyxp-dxa9/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xyxp-dxa9/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xyxp-dxa9",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/xyxp-dxa9/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xyxp-dxa9/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xyxp-dxa9",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xyxp-dxa9/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xyxp-dxa9",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/xyxp-dxa9/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/xyxp-dxa9",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC PRAMStat Data for 2004 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/xyxp-dxa9",
        "description": "CDC PRAMStat Data for 2004 - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/uj8q-r4hw",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/y268-sna3",
      "identifier": "https://data.cdc.gov/api/views/y268-sna3",
      "title": "NCHS - U.S. and State Trends on Teen Births",
      "description": "This dataset assembles all final birth data for females aged 15–19, 15–17, and 18–19 for the United States and each of the 50 states.\n\nData are based on 100% of birth certificates filed in all 50 states. All the teen birth rates in this dashboard reflect the latest revisions to Census populations (i.e., the intercensal populations) and thus provide a consistent series of accurate rates for the past 25 years. The denominators of the teen birth rates for 1991–1999 have been revised to incorporate the results of the 2000 Census. The denominators of the teen birth rates for 2001–2009 have revised to incorporate the results of the 2010 Census.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:births@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - U.S. and State Trends on Teen Births",
          "description": "This dataset assembles all final birth data for females aged 15–19, 15–17, and 18–19 for the United States and each of the 50 states. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/y268-sna3",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - U.S. and State Trends on Teen Births",
        "accessURL": "https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "U.S. State and Territorial Stay-At-Home Orders: March 15, 2020 – August 15, 2021 by County by Day",
      "description": "State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.\n\nData were collected to determine when individuals in states and territories were subject to executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require or recommend people stay in their homes. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.\n\nThese data are derived from the publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require or recommend individuals stay at home found by the CDC, COVID-19 Community Intervention and At-Risk Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 15, 2020 through August 15, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. These data do not include mandatory business closures, curfews, or limitations on public or private gatherings. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/y2iy-8irm",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Craig Kassinger",
          "hasEmail": "mailto:cak8@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/4zyv-yjue",
        "@type": "Organization",
        "name": "Environmental Public Health Tracking"
      },
      "keyword": [
        "shelter-in-place",
        "proclamation",
        "mitigation",
        "legal epidemiology",
        "government order",
        "social distancing",
        "stay-at-home",
        "covid-19",
        "executive order",
        "public health order"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/y2iy-8irm/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/y2iy-8irm",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/y2iy-8irm/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/y2iy-8irm",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/y2iy-8irm/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/y2iy-8irm/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/y2iy-8irm",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/y2iy-8irm/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "U.S. State and Territorial Stay-At-Home Orders: March 15, 2020 – August 15, 2021 by County by Day - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/y2iy-8irm",
        "description": "U.S. State and Territorial Stay-At-Home Orders: March 15, 2020 – August 15, 2021 by County by Day - Dataset Home",
        "issued": "2021-09-10",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/4zyv-yjue",
            "@type": "Organization",
            "name": "Environmental Public Health Tracking"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2011 (Part 13 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 21 of 48 and corresponds to the time range between July 4, 2011, and August 15, 2011.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/y3f7-nc9p",
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      "modified": "2026-09-10",
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        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 13 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/y3f7-nc9p",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 13 of 19) - Dataset Home",
        "issued": "2025-07-03",
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      ],
      "landingPage": {
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        "title": "Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data (2010 and prior) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/y4ft-s73h",
        "description": "Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data (2010 and prior) - Dataset Home",
        "issued": "2023-07-19",
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          "accessURL": "https://data.cdc.gov/d/y4ut-ybj7",
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        "accessURL": "https://data.cdc.gov/d/y4ut-ybj7",
        "description": "NNDSS - TABLE 1Q. Hepatitis B, perinatal infection to Hepatitis C, acute, Probable - Dataset Home",
        "issued": "2020-01-21",
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        ]
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      "programCode": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1P.  Hemolytic uremic syndrome post-diarrheal to Hepatitis (viral, acute, by type), B",
      "description": "NNDSS - TABLE 1P.  Hemolytic uremic syndrome post-diarrheal to Hepatitis (viral, acute, by type), B - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
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      ],
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      ],
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        "@type": "Document",
        "title": "NNDSS - TABLE 1P.  Hemolytic uremic syndrome post-diarrheal to Hepatitis (viral, acute, by type), B - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/y4x9-2nqn",
        "description": "NNDSS - TABLE 1P.  Hemolytic uremic syndrome post-diarrheal to Hepatitis (viral, acute, by type), B - Dataset Home",
        "issued": "2019-04-26",
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      "title": "Weekly Counts of Deaths by Jurisdiction and Age",
      "description": "Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.\n\nThis visualization provides weekly data on the number of deaths from all causes by jurisdiction of occurrence and age group. Counts of deaths in more recent weeks can be compared with counts from earlier years to determine if the number is higher than expected.",
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          "accessURL": "https://data.cdc.gov/api/views/y5bj-9g5w",
          "modified": "2025-04-21"
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        "county",
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        "description": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2022-2024 - Dataset Home",
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        "prefLabel": "All counties in the United States"
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    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Lyme disease to Meningococcal",
      "description": "NNDSS - Table II. Lyme disease to Meningococcal - 2014In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Data for meningococcal disease, invasive caused by serogroups A, C, Y, & W-135; serogroup B; other serogroup; and unknown serogroup are available in Table I.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/y6uv-t34t",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "netss",
        "nedss",
        "mmwr",
        "meningococcal invasive all serogroups",
        "malaria",
        "lyme disease",
        "2014",
        "wonder",
        "nndss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/y6uv-t34t/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/y6uv-t34t",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/y6uv-t34t/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/y6uv-t34t",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/y6uv-t34t/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/y6uv-t34t/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/y6uv-t34t",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/y6uv-t34t/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Lyme disease to Meningococcal - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/y6uv-t34t",
        "description": "NNDSS - Table II. Lyme disease to Meningococcal - Dataset Home",
        "issued": "2015-01-08",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 7 - Kansas City",
      "description": "Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014.  Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/y8pa-p62q",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/cg4e-25jx",
        "@type": "Organization",
        "name": "CDC NCIPC Division of Unintentional Injury Prevention"
      },
      "keyword": [
        "centers for disease control and prevention",
        "cdc"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/y8pa-p62q/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/y8pa-p62q",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/y8pa-p62q/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/y8pa-p62q",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/y8pa-p62q/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/y8pa-p62q/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/y8pa-p62q",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/y8pa-p62q/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/y8pa-p62q/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/y8pa-p62q",
          "mediaType": "application/geo+json",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/y8pa-p62q/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/y8pa-p62q",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/y8pa-p62q/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/y8pa-p62q",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 7 - Kansas City - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/y8pa-p62q",
        "description": "Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 7 - Kansas City - Dataset Home",
        "issued": "2016-09-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/cg4e-25jx",
            "@type": "Organization",
            "name": "CDC NCIPC Division of Unintentional Injury Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Biological effects of inhaled crude oil vapor VI. Altered biogenic amine neurotransmitters and neural protein expression",
      "description": "In the oil and gas industry, workers are potentially exposed to crude oil or crude oil vapor (COV) during upstream (drilling and extraction), midstream (transportation and storage), as well as downstream (refining) activities.  Worker exposure to various fractions of crude oil have been linked to mortality, as well as musculoskeletal, respiratory, gastrointestinal, circulatory problems, and cancer.  During the Gulf of Mexico Deepwater Horizon (DWH) oil spill, response workers were exposed to a variety of chemical hazards including volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs), heavy metals, as well as components of the oil dispersants employed to disperse the oil.  The Gulf Long-term Follow-up (GuLF) STUDY had reported that workers involved in the cleanup operations experienced adverse hematologic, pulmonary, hepatic, and cardiac problems.  However, long-term neurological effects remain unknown.\n\nHealth Hazard Evaluation (HHE) surveys conducted by NIOSH among the cleanup workers identified a variety of health effects, including neurological symptoms.  Unfortunately, as a significant number of response workers who experienced health symptoms were exposed to both crude oil and the oil dispersant that was aerially sprayed to the contain the spill, the health effects of crude oil exposures alone were difficult to discern from these surveys.  It is here that laboratory-based studies are advantageous as they can provide ample health risk information to establish the toxicological potential of the various chemical hazards at the workplace.  To that end, the present work evaluated the neurotoxic risks of COV generated from the Macondo well crude oil that was used as a surrogate for the DWH crude oil.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/y93j-qcuq",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Toxicology and Molecular Biology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/y93j-qcuq/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/y93j-qcuq",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Biological effects of inhaled crude oil vapor VI. Altered biogenic amine neurotransmitters and neural protein expression - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/y93j-qcuq",
        "description": "Biological effects of inhaled crude oil vapor VI. Altered biogenic amine neurotransmitters and neural protein expression - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Antimicrobials and Allergic Disease: Identifying Novel Biomarkers and Mechanisms of Action",
      "description": "Occupational immune diseases are some of the most common illnesses that affect workers in the United States.  The Healthcare and Social Assistance Sector (HCSA) has one of the highest incidence of allergic disease compared to other industrial sectors. Individuals in this sector are frequently exposed to a variety of high-level cleaners and disinfectants along with antiseptics for the purposes of sterilization of surfaces, medical and surgical instruments, and reducing the incidence of nosocomial infections.  The range of specificity and effectiveness of these agents is very diverse based on the type of chemical used.  Commonly used antimicrobials include: alcohol, chlorine, iodine based agents; phenols; hydrogen peroxide; and quaternary ammonium compounds (QAC).   While the importance of these kinds of chemicals is understood, many of these agents are also known to directly contribute to allergic disease.  Antimicrobials including disinfectants and antiseptics are unique in that they have been identified to c",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ya5p-jf7v",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Research, Allergy and Clinical Immunology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/ya5p-jf7v/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/ya5p-jf7v",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Antimicrobials and Allergic Disease: Identifying Novel Biomarkers and Mechanisms of Action - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ya5p-jf7v",
        "description": "Antimicrobials and Allergic Disease: Identifying Novel Biomarkers and Mechanisms of Action - Dataset Home",
        "issued": "2024-11-14",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "BRFSS Prevalence and Trends Data: Tobacco Use - Four Level Smoking Data for 2011",
      "description": "The 2011 BRFSS data reflects a change in weighting methodology (raking) and the addition of cell phone only respondents. Shifts in observed prevalence from 2010 to 2011 for BRFSS measures will likely reflect the new methods of measuring risk factors, rather than true trends in risk-factor prevalence. A break in trend lines after 2010 is used to reflect this change in methodolgy. Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements.For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm.Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ya9m-pyut",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/g3fc-zmqn",
        "@type": "Organization",
        "name": "CDC"
      },
      "keyword": [
        "non-smoker",
        "former smoker",
        "brfss",
        "current smokers"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ya9m-pyut/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ya9m-pyut",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ya9m-pyut/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ya9m-pyut",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ya9m-pyut/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ya9m-pyut/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ya9m-pyut",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ya9m-pyut/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ya9m-pyut/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ya9m-pyut",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ya9m-pyut/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ya9m-pyut",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ya9m-pyut/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ya9m-pyut",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "BRFSS Prevalence and Trends Data: Tobacco Use - Four Level Smoking Data for 2011 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ya9m-pyut",
        "description": "BRFSS Prevalence and Trends Data: Tobacco Use - Four Level Smoking Data for 2011 - Dataset Home",
        "issued": "2013-12-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/g3fc-zmqn",
            "@type": "Organization",
            "name": "CDC"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Cryptosporidiosis to Dengue",
      "description": "NNDSS - Table II. Cryptosporidiosis to Dengue - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\n C.N.M.I.: Commonwealth of Northern Mariana Islands. \r\n\r\nU: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. \r\n\r\n* Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n\r\n† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.\r\n\r\n§ Includes data for dengue and dengue-like illness.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/yakh-mjxn",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "nndss",
        "nedss",
        "mmwr",
        "dengue virus infection",
        "dengue",
        "cryptosporidiosis",
        "2017",
        "wonder",
        "severe dengue",
        "netss"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yakh-mjxn/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yakh-mjxn",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yakh-mjxn/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yakh-mjxn",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/yakh-mjxn/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yakh-mjxn/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yakh-mjxn",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/yakh-mjxn/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Cryptosporidiosis to Dengue - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/yakh-mjxn",
        "description": "NNDSS - Table II. Cryptosporidiosis to Dengue - Dataset Home",
        "issued": "2018-01-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1KK. Vancomycin-resistant Staphylococcus aureus to Varicella morbidity",
      "description": "NNDSS - TABLE 1KK. Vancomycin-resistant Staphylococcus aureus to Varicella morbidity - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ybum-psnc",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "netss",
        "nedss",
        "varicella morbidity",
        "wonder",
        "vancomycin-resistant staphylococcus aureus",
        "2019",
        "nndss"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ybum-psnc/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ybum-psnc",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/ybum-psnc",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ybum-psnc/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ybum-psnc",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "@type": "Standard",
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            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ybum-psnc/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ybum-psnc",
          "mediaType": "application/geo+json",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ybum-psnc/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ybum-psnc",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ybum-psnc/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ybum-psnc",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1KK. Vancomycin-resistant Staphylococcus aureus to Varicella morbidity - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ybum-psnc",
        "description": "NNDSS - TABLE 1KK. Vancomycin-resistant Staphylococcus aureus to Varicella morbidity - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
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      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Cumulative Percentage of Children Ages 6 Months -17 Years Who Are Up to Date with the Updated 2023-24 COVID-19 Vaccine",
      "description": "• COVID-19 vaccination coverage among children 6 months to 17 years is assessed through the National Immunization Survey providing weekly COVID-19 vaccination coverage estimates (https://www.cdc.gov/vaccines/imz-managers/nis/about.html). \n\n• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-ccm). Beginning January 2, 2024, the NIS-CCM was discontinued, and questions regarding receipt of COVID-19 vaccination among children were added to the NIS-Flu (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-cim). \n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19 (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/yctb-fv7w",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "covid-19 vaccination",
        "nis"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
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          "downloadURL": "https://data.cdc.gov/api/v3/views/yctb-fv7w/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yctb-fv7w",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
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          "accessURL": "https://data.cdc.gov/d/yctb-fv7w",
          "mediaType": "application/json",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
        },
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          "downloadURL": "https://data.cdc.gov/api/v3/views/yctb-fv7w/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yctb-fv7w",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/yctb-fv7w/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Cumulative Percentage of Children Ages 6 Months -17 Years Who Are Up to Date with the Updated 2023-24 COVID-19 Vaccine - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/yctb-fv7w",
        "description": "Cumulative Percentage of Children Ages 6 Months -17 Years Who Are Up to Date with the Updated 2023-24 COVID-19 Vaccine - Dataset Home",
        "issued": "2023-11-07",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/ycxr-emue",
      "identifier": "https://data.cdc.gov/api/views/ycxr-emue",
      "title": "Estimates of Emergency Department Visits in the United States from 2016-2022",
      "description": "The National Hospital Ambulatory Medical Care Survey (NHAMCS), conducted by the National Center for Health Statistics (NCHS), collects annual data on visits to emergency departments to describe patterns of utilization and provision of ambulatory care delivery in the United States. Data are collected from nonfederal, general, and short-stay hospitals from all 50 U.S. states and the District of Columbia, and are used to develop nationally representative estimates.\n\nThe data include counts and rates of emergency department visits from 2016-2022 for the 10 leading primary diagnoses and reasons for visit, stratified by selected patient and hospital characteristics. Rankings for the 10 leading categories were identified using weighted data from 2022 and were then assessed in prior years.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:ambcare@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Estimates of Emergency Department Visits in the United States from 2016-2022",
          "description": "The National Hospital Ambulatory Medical Care Survey (NHAMCS), conducted by the National Center for Health Statistics (NCHS), collects annual data on visits to emergency departments to describe patterns of utilization and provision of ambulatory care delivery in the United States. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/ycxr-emue",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Estimates of Emergency Department Visits in the United States from 2016-2022",
        "accessURL": "https://www.cdc.gov/nchs/dhcs/ed-visits/index.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Invasive Pneumococcal to Legionellosis",
      "description": "NNDSS - Table II. Invasive Pneumococcal to Legionellosis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as <5 years. Since 2010, case notifications for this condition were consolidated under one event code for Invasive pneumococcal disease.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ydsy-yh5w",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "legionellosis",
        "2015",
        "wonder",
        "pneumococcal",
        "nndss",
        "netss",
        "nedss",
        "mmwr",
        "invasive pneumococcal disease"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ydsy-yh5w/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ydsy-yh5w",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ydsy-yh5w/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ydsy-yh5w",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ydsy-yh5w/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ydsy-yh5w/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ydsy-yh5w",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ydsy-yh5w/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Invasive Pneumococcal to Legionellosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ydsy-yh5w",
        "description": "NNDSS - Table II. Invasive Pneumococcal to Legionellosis - Dataset Home",
        "issued": "2016-01-07",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
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        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic",
      "description": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ygrm-jkkz",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/vu8q-ns5k",
        "@type": "Organization",
        "name": "aso7@cdc.gov"
      },
      "keyword": [
        "2019",
        "q fever chronic",
        "q fever acute",
        "q fever",
        "total",
        "wonder",
        "netss",
        "nedss",
        "nndss"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/ygrm-jkkz",
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        },
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        {
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          "accessURL": "https://data.cdc.gov/d/ygrm-jkkz",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
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            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ygrm-jkkz",
        "description": "NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - Dataset Home",
        "issued": "2019-04-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/vu8q-ns5k",
            "@type": "Organization",
            "name": "aso7@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC STATE System Tobacco Legislation - Smokefree Campus",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Campuses. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state smokefree indoor air policies in areas such as: Smokefree campuses for private and public colleges and schools (K-12).",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/yhkp-cczf",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "tobacco",
        "osh",
        "state system",
        "smokefree campus",
        "policy",
        "legislation"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Smokefree-Cam/yhkp-cczf"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yhkp-cczf/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yhkp-cczf",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yhkp-cczf/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yhkp-cczf",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/yhkp-cczf/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yhkp-cczf/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yhkp-cczf",
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          "modified": "2026-09-22",
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            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/yhkp-cczf/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yhkp-cczf/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yhkp-cczf",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yhkp-cczf/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yhkp-cczf",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yhkp-cczf/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yhkp-cczf",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC STATE System Tobacco Legislation - Smokefree Campus - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/yhkp-cczf",
        "description": "CDC STATE System Tobacco Legislation - Smokefree Campus - Dataset Home",
        "issued": "2023-07-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/yib5-h3pw",
      "identifier": "https://data.cdc.gov/api/views/yib5-h3pw",
      "title": "DQS Dentists, by state: United States.",
      "description": "Data on supply of active dentists in the United States by state. Data are from Health, United States. SOURCE: American Dental Association, Health Policy Institute.\nSearch, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:healthus@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
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            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "DQS Dentists, by state: United States.",
          "description": "Data on supply of active dentists in the United States by state. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/yib5-h3pw",
          "modified": "2026-07-15"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-15",
      "landingPage": {
        "@type": "Document",
        "title": "DQS Dentists, by state: United States.",
        "accessURL": "https://www.cdc.gov/nchs/hus"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "PLACES: Census Tract Data (GIS Friendly Format), 2025 release",
      "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey (ACS) 2019-2023 or 2018–2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. These data can be joined with the Census tract 2023 boundary file in a GIS system to produce maps for 40 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/yjkw-uj5s",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/fjjr-gap9",
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "keyword": [
        "outcomes",
        "census tract",
        "places",
        "social needs",
        "risk",
        "health",
        "prevention",
        "prevalence",
        "gis",
        "behaviors",
        "disability",
        "status"
      ],
      "modified": "2026-09-22",
      "describedBy": {
        "@type": "Distribution",
        "downloadURL": "https://chronicdata.cdc.gov/dataset/PLACES-Census-Tract-Data-GIS-Friendly-Format-2020-/yjkw-uj5s"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yjkw-uj5s/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yjkw-uj5s",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yjkw-uj5s/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yjkw-uj5s",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/yjkw-uj5s/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yjkw-uj5s/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yjkw-uj5s",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
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            "accessURL": "https://data.cdc.gov/api/views/yjkw-uj5s/columns.xml",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yjkw-uj5s/query.geojson?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yjkw-uj5s",
          "mediaType": "application/geo+json",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yjkw-uj5s/export.kml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yjkw-uj5s",
          "mediaType": "application/vnd.google-earth.kml+xml",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yjkw-uj5s/export.kmz?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yjkw-uj5s",
          "mediaType": "application/vnd.google-earth.kmz",
          "modified": "2026-09-22"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "PLACES: Census Tract Data (GIS Friendly Format), 2025 release - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/yjkw-uj5s",
        "description": "PLACES: Census Tract Data (GIS Friendly Format), 2025 release - Dataset Home",
        "issued": "2025-12-04",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/fjjr-gap9",
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "CDC Wastewater Data for Influenza A",
      "description": "This dataset provides a complete time history of Influenza A wastewater sample data and calculated metrics from US sampling locations.\n\nCDC’s National Wastewater Surveillance System (NWSS) includes data collected and reported by:\n• All data with a source designation of “State_Territory” were generated by state and local health departments are reported to CDC and supported with funding through the Epidemiology and Laboratory Capacity for the Prevention and Control of Emerging Infectious Diseases (ELC) Cooperative Agreement (https://www.cdc.gov/epidemiology-laboratory-capacity/php/our-work/index.html).\n• All data with a source designation of “CDC_Verily” were generated by CDC’s national wastewater testing contract (currently with Verily Life Sciences, LLC).\n• All data with a source designation of “WastewaterSCAN” were generated by WastewaterSCAN, a partnership between Stanford University, Emory University, and Verily. All results are understood to be based on inputs that are experimental in nature and are not intended to diagnose or treat any disease. The results are provided “as is” and without warranty of any kind. Stanford does not accept liability for any claim arising out of or in connection with the disclosure of these results. WastewaterSCAN indicates that by accessing or copying any part of the database, the user accepts the terms of Stanford’s license (CC BY-NC 4.0). These data are being made available to inform public health decision making. Anyone seeking to use the database for other purposes or for research is required to contact the WastewaterSCAN / SCAN team (email: wwscan_stanford_emory@lists.stanford.edu) and any use of the data should be cited appropriately (https://data.wastewaterscan.org/about/#18).\n\nLearn more at: www.cdc.gov/wastewater.\n\nThis dataset is updated weekly on Fridays.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ymmh-divb",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Wastewater Surveillance System (NWSS)",
          "hasEmail": "mailto:NWSS@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/mt3r-qr2b",
        "@type": "Organization",
        "name": "NWSS"
      },
      "keyword": [
        "influenza",
        "flu",
        "weekly",
        "wastewater",
        "united states",
        "nwss",
        "ncezid",
        "influenza a"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ymmh-divb/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ymmh-divb",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ymmh-divb/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ymmh-divb",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ymmh-divb/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ymmh-divb/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ymmh-divb",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ymmh-divb/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CDC Wastewater Data for Influenza A - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ymmh-divb",
        "description": "CDC Wastewater Data for Influenza A - Dataset Home",
        "issued": "2026-03-06",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/mt3r-qr2b",
            "@type": "Organization",
            "name": "NWSS"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "US States and Territories"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:028"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "School Health Profiles (Profiles) 2022 and 2024",
      "description": "The 2022 and 2024 School Health Profiles (Profiles) Dataset is a merged dataset containing survey questions from the 2022 and 2024 administration of the School Health Profiles Survey. Profiles is a system of surveys assessing school health practices in states, school districts, territories, and tribes. Profiles surveys are conducted biennially by education and health agencies among middle and high school principals and lead health education teachers. Profiles monitors the status of school health education, physical education and physical activity, practices related to bullying and sexual harassment, practices related to tobacco-use prevention and nutrition, school-based health and mental health services, family engagement and community involvement, and school health coordination.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/yn8z-e2cm",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DASH Public Inquiries",
          "hasEmail": "mailto:nccddashinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/6thr-55du",
        "@type": "Organization",
        "name": "CDC UserAJ"
      },
      "keyword": [
        "profiles",
        "principal",
        "youth",
        "teacher",
        "survey",
        "school health"
      ],
      "modified": "2026-09-22",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yn8z-e2cm/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yn8z-e2cm",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yn8z-e2cm/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yn8z-e2cm",
          "mediaType": "application/json",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/yn8z-e2cm/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yn8z-e2cm/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yn8z-e2cm",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/yn8z-e2cm/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "School Health Profiles (Profiles) 2022 and 2024 - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/yn8z-e2cm",
        "description": "School Health Profiles (Profiles) 2022 and 2024 - Dataset Home",
        "issued": "2026-04-23",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/6thr-55du",
            "@type": "Organization",
            "name": "CDC UserAJ"
          }
        ]
      },
      "license": "http://opendatacommons.org/licenses/by/1.0/",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:029"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/yni7-er2q",
      "identifier": "https://data.cdc.gov/api/views/yni7-er2q",
      "title": "Mental Health Care in the Last 4 Weeks",
      "description": "The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households.  The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.\n\nThe survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.\n\nUpdated on 3/31/2025 to comply with the President’s Executive Order 14168.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Mental Health Care in the Last 4 Weeks",
          "description": "The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/yni7-er2q",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Mental Health Care in the Last 4 Weeks",
        "accessURL": "https://www.cdc.gov/nchs/covid19/pulse/mental-health-care.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/ynw2-4viq",
      "identifier": "https://data.cdc.gov/api/views/ynw2-4viq",
      "title": "Provisional Death Counts for Influenza, Pneumonia, and COVID-19",
      "description": "Deaths counts for influenza, pneumonia, and COVID-19 reported to NCHS by week ending date, by state and HHS region, and age group.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Provisional Death Counts for Influenza, Pneumonia, and COVID-19",
          "description": "Deaths counts for influenza, pneumonia, and COVID-19 reported to NCHS by week ending date, by state and HHS region, and age group. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/ynw2-4viq",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "Provisional Death Counts for Influenza, Pneumonia, and COVID-19",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Constant vs. cyclic flow when testing face masks and respirators as source control devices for simulated respiratory aerosols",
      "description": "SARS-CoV-2 spreads by infectious aerosols and droplets expelled from the respiratory tract. Masks and respirators can reduce the transmission of infectious respiratory diseases like SARS-CoV-2 by blocking these aerosols and droplets at the source. The ability of source control devices to block aerosols can be tested by expelling an aerosol through a headform wearing the device. These tests may be performed using constant airflows, which are simpler, or cyclic airflows, which are more realistic but require more complex methods. The purpose of these experiments was to compare the results found using constant vs. cyclic airflows.\n\nA source control measurement system was used to measure the efficacy of two cloth face masks, two medical masks with and without an elastic mask brace, a neck gaiter, and an N95 respirator as source control devices for simulated respiratory aerosols. With this system, the aerosol flows from the inside of the mask toward the outside; that is, the aerosol flows in the same direction as it would flow during an exhalation by a person wearing the source control device. The experiments were conducted under four airflow conditions: cyclic breathing at 15 liters/minute (L/min), cyclic breathing at 85 L/min, constant outward airflow at 15 L/min, and constant outward airflow at 85 L/min. Each experiment began by placing the source control device on the headform and performing a fit test. The measurement system collection chamber was then sealed, and the cyclic or constant airflow and the aerosol generation were initiated. The aerosol concentration in the collection chamber was measured using an optical particle spectrometer (OPS). The source control collection efficiency was determined by comparing the steady-state concentration of aerosol particles in the collection chamber when the source control device was worn with the concentration when no source control device was used.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/yp23-fq9k",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division, Allergy and Clinical Immunology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/yp23-fq9k/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/yp23-fq9k",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Constant vs. cyclic flow when testing face masks and respirators as source control devices for simulated respiratory aerosols - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/yp23-fq9k",
        "description": "Constant vs. cyclic flow when testing face masks and respirators as source control devices for simulated respiratory aerosols - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly United States Hospitalization Metrics by Jurisdiction, During Mandatory Reporting Period from August 1, 2020 to April 30, 2024, and for Data Reported Voluntarily Beginning May 1, 2024, National Healthcare Safety Network (NHSN) (Historical)-ARCHIVED",
      "description": "<b>Note:</b> \nAfter November 1, 2024, this dataset will no longer be updated due to a transition in NHSN Hospital Respiratory Data reporting that occurred on Friday, November 1, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.\n\nDue to a recent update in voluntary NHSN Hospital Respiratory Data reporting that occurred on Wednesday, October 9, 2024, reporting levels and other data displayed on this page may fluctuate week-over-week beginning Friday, October 18, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.  Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient.   \n.\nThis dataset represents weekly respiratory virus-related hospitalization data and metrics aggregated to national and state/territory levels reported during two periods: 1) data for collection dates from August 1, 2020 to April 30, 2024, represent data reported by hospitals during a mandated reporting period as specified by the HHS Secretary; and 2) data for collection dates beginning May 1, 2024, represent data reported voluntarily by hospitals to CDC’s National Healthcare Safety Network (NHSN). NHSN monitors national and local trends in healthcare system stress and capacity for up to approximately 6,000 hospitals in the United States. Data reported represent aggregated counts and include metrics capturing information specific to COVID-19- and influenza-related hospitalizations, hospital occupancy, and hospital capacity. Find more information about reporting to NHSN at: https://www.cdc.gov/nhsn/covid19/hospital-reporting.html\n\n<b>Source: COVID-19 hospitalization data reported to CDC’s National Healthcare Safety Network (NHSN).</b>\n<ul><li><b>Data source description(updated October 18, 2024):</b> As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or ‘COVID-19 hospital data’) are reported to HHS through CDC’s National Healthcare Safety Network based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data are voluntarily reported to NHSN as of May 1, 2024 until November 1, 2024, at which time CMS will require acute care and critical access hospitals to electronically report information via NHSN about COVID-19, Influenza, and RSV, hospital bed census and capacity, and limited patient demographic information, including age. Data for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting period as specified by the HHS Secretary. Data for collection dates May 1, 2024, and onwards represent data reported voluntarily to NHSN; as such, data included represents reporting hospitals only for a given week and might not be complete or representative of all hospitals. NHSN monitors national and local trends in healthcare system stress and capacity for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about reporting to NHSN: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient.</li><li><b>Data quality:</b> While CDC reviews reported data for completeness and errors and corrects those found, some reporting errors might still exist within the data. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ype6-idgy",
      "contactPoint": [
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          "fn": "DHQP",
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      "publisher": {
        "@id": "https://data.cdc.gov/user/8jxp-krex",
        "@type": "Organization",
        "name": "CDC"
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        "icu beds",
        "influenza",
        "covid-19",
        "coronavirus",
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        "inpatient beds",
        "hospital capacity",
        "hospitalizations"
      ],
      "modified": "2026-09-22",
      "distribution": [
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          "downloadURL": "https://data.cdc.gov/api/v3/views/ype6-idgy/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ype6-idgy",
          "mediaType": "text/csv",
          "modified": "2026-09-22"
        },
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          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ype6-idgy/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ype6-idgy",
          "mediaType": "application/json",
          "modified": "2026-09-22",
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            "title": "Columns for this asset"
          }
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        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ype6-idgy/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ype6-idgy",
          "mediaType": "application/xml",
          "modified": "2026-09-22",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/api/views/ype6-idgy/columns.xml",
            "title": "Columns for this asset"
          }
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly United States Hospitalization Metrics by Jurisdiction, During Mandatory Reporting Period from August 1, 2020 to April 30, 2024, and for Data Reported Voluntarily Beginning May 1, 2024, National Healthcare Safety Network (NHSN) (Historical)-ARCHIVED - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ype6-idgy",
        "description": "Weekly United States Hospitalization Metrics by Jurisdiction, During Mandatory Reporting Period from August 1, 2020 to April 30, 2024, and for Data Reported Voluntarily Beginning May 1, 2024, National Healthcare Safety Network (NHSN) (Historical)-ARCHIVED - Dataset Home",
        "issued": "2024-10-18",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/8jxp-krex",
            "@type": "Organization",
            "name": "CDC"
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        "prefLabel": "US"
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        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/ypxr-mz8e",
      "identifier": "https://data.cdc.gov/api/views/ypxr-mz8e",
      "title": "AH Provisional COVID-19 Deaths by Quarter, County and Age for 2020",
      "description": "Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by United States county of residence and age group, for 2020 by quarter.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "AH Provisional COVID-19 Deaths by Quarter, County and Age for 2020",
          "description": "Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by United States county of residence and age group, for 2020 by quarter. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/ypxr-mz8e",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "AH Provisional COVID-19 Deaths by Quarter, County and Age for 2020",
        "accessURL": "https://www.cdc.gov/nchs/covid19/covid-19-mortality-data-files.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - Table II. Invasive Pneumococcal to Legionellosis",
      "description": "NNDSS - Table II. Invasive Pneumococcal to Legionellosis - 2016.  In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.\r\n\r\nNote:\r\nThese are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. \r\n\r\nCase counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. \r\n\r\nFootnotes:\r\nC.N.M.I.: Commonwealth of Northern Mariana Islands. \r\nU: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.  NP:  Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum.\r\n\r\n* Case counts for reporting year 2016 are provisional and subject to change.   For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. \r\n† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. \r\n§ Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as <5 years.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/yqwx-bvu7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "legionellosis",
        "invasive pneumococcal disease",
        "2016",
        "wonder",
        "pneumococcal",
        "nndss",
        "netss",
        "nedss",
        "mmwr"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yqwx-bvu7/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yqwx-bvu7",
          "mediaType": "text/csv",
          "modified": "2026-09-09"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yqwx-bvu7/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yqwx-bvu7",
          "mediaType": "application/json",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/yqwx-bvu7/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yqwx-bvu7/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yqwx-bvu7",
          "mediaType": "application/xml",
          "modified": "2026-09-09",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/yqwx-bvu7/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - Table II. Invasive Pneumococcal to Legionellosis - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/yqwx-bvu7",
        "description": "NNDSS - Table II. Invasive Pneumococcal to Legionellosis - Dataset Home",
        "issued": "2017-01-05",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Elk Creek Seismic Waveforms 2011 (Part 2 of 19)",
      "description": "Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.\n \nThis is download 10 of 48 and corresponds to the time range between January 10, 2010, and January 17, 2010.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/yqy5-yp9r",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIOSH Mining Program",
          "hasEmail": "mailto:mining@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/sa4x-efz7",
        "@type": "Organization",
        "name": "Shawn Boltz"
      },
      "keyword": [
        "industry"
      ],
      "modified": "2026-09-09",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/yqy5-yp9r/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/yqy5-yp9r",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-09"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Elk Creek Seismic Waveforms 2011 (Part 2 of 19) - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/yqy5-yp9r",
        "description": "Elk Creek Seismic Waveforms 2011 (Part 2 of 19) - Dataset Home",
        "issued": "2025-07-03",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/sa4x-efz7",
            "@type": "Organization",
            "name": "Shawn Boltz"
          }
        ]
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/yrur-wghw",
      "identifier": "https://data.cdc.gov/api/views/yrur-wghw",
      "title": "Provisional COVID-19 death counts and rates by month, jurisdiction of residence, and demographic characteristics",
      "description": "This file contains COVID-19 death counts and rates by month and year of death, jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). United States death counts and rates include the 50 states, plus the District of Columbia.\n\nDeaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file.\n\nData during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.\n\nDeath counts should not be compared across jurisdictions. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly.\n\nThe ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.\n\nRates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf).\n\nRate are based on deaths occurring in the specified week and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly) rate prevailed for a full year.\n\nSub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Provisional COVID-19 death counts and rates by month, jurisdiction of residence, and demographic characteristics",
          "description": "This file contains COVID-19 death counts and rates by month and year of death, jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/yrur-wghw",
          "modified": "2026-07-23"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2026-07-23",
      "landingPage": {
        "@type": "Document",
        "title": "Provisional COVID-19 death counts and rates by month, jurisdiction of residence, and demographic characteristics",
        "accessURL": "https://data.cdc.gov/d/yrur-wghw"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, by Influenza Season and Age Group, Adults 18 years and older, United States",
      "description": "• Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, by Flu Season, Adults 18 Years and Older, United States. \n \n• The projected pharmacy estimates are based on IQVIA†,‡ Longitudinal Prescription Claims (LRx) and vaccinations administered in retail pharmacies (including chain, mass merchandise, food stores, and independent pharmacies).§ The projected physicians’ medical offices estimates are based on IQVIA’s Medical Claims (Dx)±.\n\n• Vaccinations administered in workplaces, community locations, long-term care settings, and other medical settings such as public health clinics are not represented in these data.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/ysd3-txwj",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VaxView Team",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/knbc-mfp8",
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
      },
      "keyword": [
        "iis-child",
        "iis-adult",
        "flu vaccination",
        "doses distributed",
        "cms",
        "vsd",
        "nis-flu",
        "nis-child",
        "nis-acm",
        "iqvia"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ysd3-txwj/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ysd3-txwj",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ysd3-txwj/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ysd3-txwj",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ysd3-txwj/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/ysd3-txwj/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/ysd3-txwj",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/ysd3-txwj/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, by Influenza Season and Age Group, Adults 18 years and older, United States - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/ysd3-txwj",
        "description": "Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, by Influenza Season and Age Group, Adults 18 years and older, United States - Dataset Home",
        "issued": "2025-12-09",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/knbc-mfp8",
            "@type": "Organization",
            "name": "National Center for Immunization and Respiratory Diseases (NCIRD)"
          }
        ]
      },
      "spatial": {
        "@type": "Location",
        "prefLabel": "United States- National, Region, State"
      },
      "license": "https://www.usa.gov/government-works",
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "@id": "https://data.cdc.gov/api/views/yt7u-eiyg",
      "identifier": "https://data.cdc.gov/api/views/yt7u-eiyg",
      "title": "NCHS - Birth Rates for Females by Age Group: United States",
      "description": "This dataset includes birth rates for females by age group in the United States since 1940.\n\nThe number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:births@cdc.gov"
      },
      "publisher": {
        "@type": "org:Organization",
        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
          {
            "@type": "org:Organization",
            "name": "Centers for Disease Control and Prevention (CDC)"
          }
        ]
      },
      "accessRights": "public",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "NCHS - Birth Rates for Females by Age Group: United States",
          "description": "This dataset includes birth rates for females by age group in the United States since 1940. This public distribution is available through data.cdc.gov (Socrata), which offers CSV, JSON, Excel, and other export formats.",
          "accessURL": "https://data.cdc.gov/api/views/yt7u-eiyg",
          "modified": "2025-04-21"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "modified": "2025-04-21",
      "landingPage": {
        "@type": "Document",
        "title": "NCHS - Birth Rates for Females by Age Group: United States",
        "accessURL": "https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Anthropometry of Law Enforcement Officers",
      "description": "The accommodation of worker anthropometric variability in the workplace and personal protective equipment (PPE) is key to safe and efficient completion of work tasks. Previously, the best data available was 46 years old, which has largely become outdated due to demographic changes. These data tables consist of 34 traditional semi-nude body dimensions without gear (e.g., chest depth, standing; foot breadth, horizontal, standing; hip circumference; stature; elbow rest height, sitting; and eye height, sitting) and 15 dimension measurements over clothing and with gear (e.g., abdominal extension depth, sitting; hip breadth, sitting; and should-grip length, sitting) of 756 male and 218 female Law Enforcement Officers (LEOs). For many LEOs, patrol vehicles are the workplace where they spend significant portions of their workday and PPE is vital gear to safeguard LEOs from the harm of assaults. Design improvements of vehicle console space, vehicle ingress/egress, and LEO body-worn equipment can result in reduced LEO fatigue, pain, or injury.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/yu68-juzt",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Division of Safety Research, Protective Technology Branch",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/p2ji-vjyr",
        "@type": "Organization",
        "name": "GLENN DOYLE"
      },
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/download/yu68-juzt/application/x-zip-compressed",
          "accessURL": "https://data.cdc.gov/d/yu68-juzt",
          "mediaType": "application/x-zip-compressed",
          "modified": "2026-09-10"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Anthropometry of Law Enforcement Officers - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/yu68-juzt",
        "description": "Anthropometry of Law Enforcement Officers - Dataset Home",
        "issued": "2024-11-15",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/p2ji-vjyr",
            "@type": "Organization",
            "name": "GLENN DOYLE"
          }
        ]
      },
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:034"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Weekly United States COVID-19 Cases and Deaths by County - ARCHIVED",
      "description": "<b>Note:</b> \nThe cumulative case count for some counties (with small population) is higher than expected due to the inclusion of non-permanent residents in COVID-19 case counts. \n\nReporting of Aggregate Case and Death Count data was discontinued on May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.\n\n<b>Aggregate Data Collection Process\nSince the beginning of the COVID-19 pandemic, data were reported through a robust process with the following steps:</b><ul><li>Aggregate county-level counts were obtained indirectly, via automated overnight web collection, or directly, via a data submission process.</li><li>If more than one official county data source existed, CDC used a comprehensive data selection process comparing each official county data source to retrieve the highest case and death counts, unless otherwise specified by the state.</li><li>A CDC data team reviewed counts for congruency prior to integration. CDC routinely compiled these data and post the finalized information on COVID Data Tracker.</li><li>Cases and deaths are based on date of report and not on the date of symptom onset. CDC calculates rates in this data by using population estimates provided by the US Census Bureau Population Estimates Program (2019 Vintage).</li><li>COVID-19 aggregate case and death data were organized in a time series that includes cumulative number of cases and deaths as reported by a jurisdiction on a given date.  New case and death counts were calculated as the week-to-week change in reported cumulative cases and deaths (i.e., newly reported cases and deaths = cumulative number of cases/deaths reported this week minus the cumulative total reported the week before.</li></ul>\n\nThis process was collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provided the most up-to-date numbers on cases and deaths by report date. Throughout data collection, CDC retrospectively updated counts to correct known data quality issues. CDC also worked with jurisdictions after the end of the public health emergency declaration to finalize county data. \n<ul><li><b>Source:</b> The weekly archived dataset is based on county-level aggregate count data</li><li><b>Confirmed/Probable Cases/Death breakdown:</b> Cumulative cases and deaths for each county are included.  Total reported cases include probable and confirmed cases.</li><li><b>Time Series Frequency:</b> The weekly archived dataset contains weekly time series data (i.e., one record per week per county)</li></ul>\n \n<b>Important note:</b> The counts reflected during a given time period in this dataset may not match the counts reflected for the same time period in the daily archived dataset noted above. Discrepancies may exist due to differences between county and state COVID-19 case surveillance and reconciliation efforts.\n\nThe surveillance case definition for COVID-19, a nationally notifiable disease, was first described in a <a href=\"https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-covid-19/\">position statement</a> from the Council for State and Territorial Epidemiologists, which was later <a href=\"https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-covid-19/\">revised</a>. However, there is some variation in how jurisdictions implement these case classifications. More information on how CDC collects COVID-19 case surveillance data can be found at <a href=\"https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html\">FAQ: COVID-19 Data and Surveillance</a>.\n\n<b>Confirmed and Probable Counts</b>\nIn this dataset, counts by jurisdiction are not displayed by confirmed or probable status. Instead, counts of confirmed and probable cases and deaths are included in the Total Cases and Total Deaths columns, when available. Not all jurisdictions report",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/yviw-z6j5",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance Review and Response Group",
          "hasEmail": "mailto:eocevent394@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/n2qk-w5rg",
        "@type": "Organization",
        "name": "NCIRD-CORVD"
      },
      "keyword": [
        "covid",
        "covid-19",
        "surveillance"
      ],
      "modified": "2026-09-10",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yviw-z6j5/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yviw-z6j5",
          "mediaType": "text/csv",
          "modified": "2026-09-10"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yviw-z6j5/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yviw-z6j5",
          "mediaType": "application/json",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/yviw-z6j5/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yviw-z6j5/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yviw-z6j5",
          "mediaType": "application/xml",
          "modified": "2026-09-10",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/yviw-z6j5/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Weekly United States COVID-19 Cases and Deaths by County - ARCHIVED - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/yviw-z6j5",
        "description": "Weekly United States COVID-19 Cases and Deaths by County - ARCHIVED - Dataset Home",
        "issued": "2023-06-06",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/n2qk-w5rg",
            "@type": "Organization",
            "name": "NCIRD-CORVD"
          }
        ]
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-22",
          "endDate": "2023-05-10"
        }
      ],
      "bureauCode": [
        "009:20"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections",
      "description": "NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. \r\n\r\nNote: \r\nThis table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. \r\n\r\nFootnotes:\r\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\r\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\r\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\r\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\r\nNP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.\r\nCum: Cumulative year-to-date counts.\r\nMax: Maximum — Maximum case count during the previous 52 weeks.\r\n* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. \r\n† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). \r\n§ Novel influenza A virus infections are human infections with influenza A viruses that are different from currently circulating human seasonal influenza viruses. With the exception of one avian lineage influenza A (H7N2) virus, all novel influenza A virus infections reported to CDC since 2012 have been variant influenza viruses.",
      "accessLevel": "public",
      "identifier": "https://data.cdc.gov/api/views/yvsw-8ht9",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@id": "https://data.cdc.gov/user/2fth-98hd",
        "@type": "Organization",
        "name": "wja0@cdc.gov"
      },
      "keyword": [
        "netss",
        "nedss",
        "mumps",
        "2019",
        "nndss",
        "novel influenza a virus infections",
        "wonder"
      ],
      "modified": "2026-09-08",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yvsw-8ht9/export.csv?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yvsw-8ht9",
          "mediaType": "text/csv",
          "modified": "2026-09-08"
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yvsw-8ht9/query.json?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yvsw-8ht9",
          "mediaType": "application/json",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/yvsw-8ht9/columns.json",
            "title": "Columns for this asset"
          }
        },
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cdc.gov/api/v3/views/yvsw-8ht9/query.xml?accessType=DOWNLOAD",
          "accessURL": "https://data.cdc.gov/d/yvsw-8ht9",
          "mediaType": "application/xml",
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Standard",
            "accessURL": "https://data.cdc.gov/api/views/yvsw-8ht9/columns.xml",
            "title": "Columns for this asset"
          }
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - Dataset Home",
        "accessURL": "https://data.cdc.gov/d/yvsw-8ht9",
        "description": "NNDSS - TABLE 1Y. Mumps to Novel influenza A virus infections - Dataset Home",
        "issued": "2019-04-26",
        "publisher": [
          {
            "@id": "https://data.cdc.gov/user/2fth-98hd",
            "@type": "Organization",
            "name": "wja0@cdc.gov"
          }
        ]
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:020"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/29hc-w46k",
      "title": "RSV-NET Rates and Clinical Data",
      "description": "This dataset includes hospitalization rates and selected clinical characteristics from RSV-NET for laboratory-confirmed RSV-associated hospitalizations. The data can be used to examine hospitalization burden, patient characteristics, clinical outcomes, and trends over time across RSV-NET surveillance sites.\nData are preliminary and subject to change as more data become available. Data will be updated weekly.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:resp-net@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)/Coronavirus and Other Respiratory Viruses Division (CORVD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-31",
      "issued": "2022-10-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "hospitalizations",
        "respiratory illness",
        "respiratory disease",
        "rates by race and ethnicity",
        "rate",
        "hospitalization rate",
        "hospitalization",
        "age-adjusted rates by race and ethnicity",
        "age-adjusted rates",
        "respiratory syncytial virus",
        "respiratory virus response",
        "rsv",
        "rsvnet",
        "rsv-net",
        "surveillance"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/rsv/php/surveillance/rsv-net.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "RSV-NET Rates and Clinical Data",
          "accessURL": "https://data.cdc.gov/d/29hc-w46k",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-31"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/2den-c3u2",
      "title": "Cumulative Influenza Vaccination Coverage Differences by Race/Ethnicity, Children 6 months through 17 years, United States",
      "description": "Cumulative Influenza Vaccination Coverage Differences by Race/Ethnicity, Children 6 months through 17 years, United States Vaccinations\n\n• Influenza vaccination coverage among children is assessed through the National Immunization Survey-Flu (NIS-Flu) annually, providing weekly influenza vaccination coverage estimates for children 6 months–17 years based upon parental report. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html) \n\no NIS-Flu is a national random-digit-dialed cellular telephone survey of households conducted during the flu season (October-June). \n\n• Final estimates for prior seasons and other flu vaccination data are available at CDC’s FluVaxView:  https://www.cdc.gov/flu/fluvaxview/index.htm.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-ISD",
          "hasEmail": "mailto:vaxview@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-05-24",
      "issued": "2022-09-28",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "influenza",
        "children",
        "flu",
        "flu shot",
        "vaccine coverage",
        "nis"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-dashboard.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Cumulative Influenza Vaccination Coverage Differences by Race/Ethnicity, Children 6 months through 17 years, United States",
          "accessURL": "https://data.cdc.gov/d/2den-c3u2",
          "license": "Public Domain U.S. Government",
          "modified": "2024-05-24"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/2v3t-r3np",
      "title": "Weekly Cumulative Influenza Vaccination Coverage, Adults 18 and Older, United States",
      "description": "Weekly Cumulative Influenza Vaccination Coverage, Adults 18 and Older, United States\n\n• Influenza vaccination coverage among adults is assessed through the National Immunization Survey-Adult COVID Module providing weekly influenza vaccination coverage estimates. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)\n• NIS-ACM was started in April 2021 to survey adults 18 years and older COVID-19 vaccination uptake and vaccine confidence.\n• Final estimates for prior seasons and other flu vaccination data are available at CDC’s FluVaxView: https://www.cdc.gov/flu/fluvaxview/index.htm.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-05-24",
      "issued": "2023-10-26",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Flu Vaccinations"
        }
      ],
      "keyword": [
        "adult",
        "flu",
        "flu shot",
        "influenza",
        "nis-acm",
        "vaccine coverage"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-dashboard.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Influenza Vaccination Coverage, Adults 18 and Older, United States",
          "accessURL": "https://data.cdc.gov/d/2v3t-r3np",
          "license": "Public Domain U.S. Government",
          "modified": "2024-05-24"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/2vpi-n544",
      "title": "Archive: COVID-19 Vaccination Demographic Trends by Report Date, National",
      "description": "This data dictionary provides information about archived demographic trend data for people receiving COVID-19 vaccinations in the United States at the national level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.\n\nThese data have been archived to provide historical demographic trend data for COVID-19 vaccine recipients prior to CDC converting the Vaccination Demographic Trends site to using data based on the date of vaccine administration. Previously, the Vaccination Demographic Trends site presented trend data by the date the vaccination was reported to CDC.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-ISD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2021-11-17",
      "issued": "2021-11-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "immunization",
        "izdl",
        "report date",
        "vaccination",
        "coronavirus",
        "administration",
        "covid-19"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Archive: COVID-19 Vaccination Demographic Trends by Report Date, National",
          "accessURL": "https://data.cdc.gov/d/2vpi-n544",
          "license": "Public Domain U.S. Government",
          "modified": "2021-11-17"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/2yum-eg9f",
      "title": "Monthly Cumulative Number and Percent of Adults 75 Years and Older Who Received 1+ RSV Vaccination Doses by Jurisdiction, United States",
      "description": "Monthly Cumulative Percent of Adults 75 Years and Older Who Received 1+ RSV Vaccination Doses by Jurisdiction, United States. \n\nRespiratory Syncytial Virus (RSV) vaccination coverage for adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group.\n\nMonthly estimates shown are cumulative, reflecting all persons aged 75 years and older who received at least one dose of an RSV vaccine from June 21, 2023, through the end of the reporting month.*,† Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-20",
      "issued": "2025-11-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "iqvia",
        "iis",
        "nis-acm",
        "rsv vaccination",
        "vsd"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/rsvvaxview/dashboard/adults-75-admin-coverage-jurisdiction.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Monthly Cumulative Number and Percent of Adults 75 Years and Older Who Received 1+ RSV Vaccination Doses by Jurisdiction, United States",
          "accessURL": "https://data.cdc.gov/d/2yum-eg9f",
          "license": "Public Domain U.S. Government",
          "modified": "2026-05-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/39z2-9zu6",
      "title": "United States COVID-19 Hospitalization Metrics by Jurisdiction, Timeseries – ARCHIVED",
      "description": "<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.\n\nThis dataset represents daily COVID-19 hospitalization data and metrics aggregated to national, state/territory, and regional levels. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.\n\n<b>Reporting information:</b><ul><li>As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS).</li><li>While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.</li><li>Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.</li><li>Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files.</li><li>Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf</li></ul>\n\n<b>Metric details:</b><ul><li><b>Time Period:</b> timeseries data will update weekly on Mondays as soon as they are reviewed and verified, usually before 8 pm ET. Updates will occur the following day when reporting coincides with a federal holiday. Note: Weekly updates might be delayed due to delays in reporting. All data are provisional. Because these provisional counts are subject to change, including updates to data reported previously, adjustments can occur. Data may be updated since original publication due to delays in reporting (to account for data received after a given Thursday publication) or data quality corrections.</li><li><b>New COVID-19 Hospital Admissions (count):</b> Number of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.</li><li><b>New COVID-19 Hospital Admissions (7-Day Average):</b> 7-day average of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.</li><li><b>Cumulative COVID-19 Hospital Admissions:</b> Cumulative total number of admissions of patients with laborat",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-01-17",
      "issued": "2023-07-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "inpatient beds",
        "ncird-corvd",
        "icu beds",
        "hospital occupancy",
        "hospitalizations",
        "hospital capacity",
        "covid-19",
        "coronavirus",
        "admissions"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "United States COVID-19 Hospitalization Metrics by Jurisdiction, Timeseries – ARCHIVED",
          "accessURL": "https://data.cdc.gov/d/39z2-9zu6",
          "license": "Public Domain U.S. Government",
          "modified": "2025-01-17"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/3bmy-cyyd",
      "title": "Monthly Cumulative Number and Percent of Persons Who Received 1+ COVID-19 Vaccination Doses, by Season, Age Group, and Jurisdiction, United States",
      "description": "COVID-19 vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS), submitted from jurisdictions to CDC monthly in aggregate by age group.\n\n Monthly estimates shown are cumulative, reflecting all persons vaccinated from July 1 through a given month of that season.*,†, ‡ Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-20",
      "issued": "2024-10-14",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "iqvia",
        "nis-acm",
        "iis",
        "covid-19 vaccination",
        "vsd"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/covidvaxview/weekly-dashboard/vaccine-administration-coverage-jurisdiction.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Monthly Cumulative Number and Percent of Persons Who Received 1+ COVID-19 Vaccination Doses, by Season, Age Group, and Jurisdiction, United States",
          "accessURL": "https://data.cdc.gov/d/3bmy-cyyd",
          "license": "Public Domain U.S. Government",
          "modified": "2026-05-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/3myw-4j4q",
      "title": "Cumulative Influenza Vaccination Coverage by Race/Ethnicity and Age Group, NIS-ACM",
      "description": "Cumulative Influenza Vaccination Coverage Age Group, Race/Ethnicity, and Jurisdiction, Adults 18 Years and Older, United States, National Immunization Survey Adult COVID Module.\n\nArchived data are available including for Figures 4B and 4C:  https://data.cdc.gov/resource/8dyx-9z99\n\n•  The National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-03-28",
      "issued": "2022-01-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "vaccination",
        "vaccine coverage",
        "flu vaccination",
        "influenza",
        "coverage",
        "adults"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/imz-managers/nis/",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Cumulative Influenza Vaccination Coverage by Race/Ethnicity and Age Group, NIS-ACM",
          "accessURL": "https://data.cdc.gov/d/3myw-4j4q",
          "license": "Public Domain U.S. Government",
          "modified": "2023-03-28"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/3nnm-4jni",
      "title": "United States COVID-19 Community Levels by County",
      "description": "Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.\n\nThis archived public use dataset has 11 data elements reflecting United States COVID-19 community levels for all available counties.\n\nThe COVID-19 community levels were developed using a combination of three metrics — new COVID-19 admissions per 100,000 population in the past 7 days, the percent of staffed inpatient beds occupied by COVID-19 patients, and total new COVID-19 cases per 100,000 population in the past 7 days. The COVID-19 community level was determined by the higher of the new admissions and inpatient beds metrics, based on the current level of new cases per 100,000 population in the past 7 days. New COVID-19 admissions and the percent of staffed inpatient beds occupied represent the current potential for strain on the health system. Data on new cases acts as an early warning indicator of potential increases in health system strain in the event of a COVID-19 surge.\n\nUsing these data, the COVID-19 community level was classified as low, medium, or high.\n\nCOVID-19 Community Levels were used to help communities and individuals make decisions based on their local context and their unique needs. Community vaccination coverage and other local information, like early alerts from surveillance, such as through wastewater or the number of emergency department visits for COVID-19, when available, can also inform decision making for health officials and individuals.\n\nFor the most accurate and up-to-date data for any county or state, visit the relevant health department website. COVID Data Tracker may display data that differ from state and local websites. This can be due to differences in how data were collected, how metrics were calculated, or the timing of web updates.\n\n<b>Archived Data Notes:</b>\n\nThis dataset was renamed from \"United States COVID-19 Community Levels by County as Originally Posted\" to \"United States COVID-19 Community Levels by County\" on March 31, 2022.\n\n<b>March 31, 2022:</b> Column name for county population was changed to “county_population”. No change was made to the data points previous released.\n\n<b>March 31, 2022:</b> New column, “health_service_area_population”, was added to the dataset to denote the total population in the designated Health Service Area based on 2019 Census estimate.\n\n<b>March 31, 2022:</b> FIPS codes for territories American Samoa, Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands were re-formatted to 5-digit numeric for records released on 3/3/2022 to be consistent with other records in the dataset.\n\n<b>March 31, 2022:</b> Changes were made to the text fields in variables “county”, “state”, and “health_service_area” so the formats are consistent across releases.\n\n<b>March 31, 2022:</b> The “%” sign was removed from the text field in column “covid_inpatient_bed_utilization”. No change was made to the data. As indicated in the column description, values in this column represent the percentage of staffed inpatient beds occupied by COVID-19 patients (7-day average). \n\n<b>March 31, 2022:</b> Data values for columns, “county_population”, “health_service_area_number”, and “health_service_area” were backfilled for records released on 2/24/2022. These columns were added since the week of 3/3/2022, thus the values were previously missing for records released the week prior.\n\n<b>April 7, 2022:</b> Updates made to data released on 3/24/2022 for Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands to correct a data mapping error.\n\n<b>April 21, 2022:</b> COVID-19 Community Level (CCL) data released for counties in Nebraska for the week of April 21, 2022 have 3 counties identified in the high category and 37 in the medium category. CDC has been working with state officials t",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-11-02",
      "issued": "2022-03-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "cases",
        "united states",
        "ncird-corvd",
        "hospital",
        "covid-19",
        "county",
        "coronavirus",
        "community levels"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "United States COVID-19 Community Levels by County",
          "accessURL": "https://data.cdc.gov/d/3nnm-4jni",
          "license": "Public Domain U.S. Government",
          "modified": "2023-11-02"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/3pbe-qh9z",
      "title": "COVID-19 Primary Series Completion, Booster Dose Eligibility, and Booster Dose Receipt by Age, United States",
      "description": "This site provides historical data beginning June 22, 2022, for the visualization presented on <a href=\"https://covid.cdc.gov/covid-data-tracker/#vaccinations\" target=\"_blank\">COVID-19 Data Tracker’s “Vaccinations in the United States”</a> site titled “Primary Series Completion, Booster Dose Eligibility, and Booster Dose Receipt by Age, United States”.\n\n<b >Fully Vaccinated / Completed Primary Series:</b> <ul><li> For surveillance purposes, COVID Data Tracker counts people as being \"fully vaccinated\" or as having \"completed a primary series\" if they received two doses on different days (regardless of time interval) of the two-dose mRNA series or received one dose of a single-dose vaccine. When the vaccine manufacturer is not reported, the recipient is considered fully vaccinated with two doses.</li></ul><b>First Booster Dose:  </b><ul><li>For surveillance purposes, the count and percentage of people who received a first booster dose includes anyone who is fully vaccinated and has received another dose of COVID-19 vaccine since August 13, 2021. This includes people who received a first booster dose and people who received an additional primary series dose as this metric does not distinguish if the recipient is <b><a href='https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html' target=\"_blank\"> immunocompromised and received an additional dose</a></b>.</li><li><b>   First booster dose eligibility: </b><ul><li>CDC counts people as being <b>\" <a href=\"https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html\" target=\"_blank\">eligible for a first booster dose</a>\"</b> if it has been at least 5 months since completion of a Pfizer-BioNTech or Moderna primary series or at least 2 months since receipt of a Janssen (Johnson & Johnson) singe-dose vaccine. </li></ul></li></ul>\n<b>Second Booster Dose:</b><ul><li>For surveillance purposes, the count and percentage of people who received a second booster dose includes anyone who is fully vaccinated and has received two subsequent doses of COVID-19 vaccine since August 13, 2021. This includes people who received two booster doses and people who received one additional dose and one booster dose.  </li><li>The count of people who received a second booster dose and the percentage of people with a first booster who received a second booster dose does not account for whether a person is <b><a href='https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html'  target=\"_blank\">immunocompromised or time interval since first booster dose</a></b>. </li><li><b>Second booster dose eligibility: </b><ul><li>CDC counts people as being  <b>\"<a href=\"https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html\" target=\"_blank\"><b>eligible for a second booster dose</b></a>\" </b> if it has been at least 4 months since receiving a first booster dose. </ul></li></li><li><b>Limitations to counting people with a second booster dose: </b>\n<ul><li>Due to the aggregate vaccination record reporting method used by Idaho for its residents under the age of 18 years and by Texas for all its residents, CDC counts all 4th doses received by these populations as a second booster dose. This includes immunocompromised individuals who received a three-dose primary series and only one booster dose. This limitation may lead to an undercount of people who received the single-dose J&J/Janssen vaccine as their primary series and two booster doses.</li></ul>\n</li></ul>Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-ISD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-05-12",
      "issued": "2022-07-25",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "administration",
        "vaccination",
        "sex",
        "race",
        "izdl",
        "immunization",
        "ethnicity",
        "demographics",
        "covid-19",
        "coronavirus",
        "age"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "COVID-19 Primary Series Completion, Booster Dose Eligibility, and Booster Dose Receipt by Age, United States",
          "accessURL": "https://data.cdc.gov/d/3pbe-qh9z",
          "license": "Public Domain U.S. Government",
          "modified": "2023-05-12"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/4bdk-kyzv",
      "title": "Monthly Cumulative Number and Percent of Children <8 Months Who Received Nirsevimab by Jurisdiction, United States",
      "description": "Monthly Cumulative Percent of Children <8 Months Who Received Nirsevimab by Jurisdiction, United States.\nNirsevimab coverage for children 0 to 7 months is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group (https://www.cdc.gov/iis/about/).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-05-16",
      "issued": "2024-11-12",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "rsv vaccination",
        "vsd",
        "iis",
        "iqvia",
        "nis-acm"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/data-reporting/",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Monthly Cumulative Number and Percent of Children <8 Months Who Received Nirsevimab by Jurisdiction, United States",
          "accessURL": "https://data.cdc.gov/d/4bdk-kyzv",
          "license": "Public Domain U.S. Government",
          "modified": "2025-05-16"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/4g6p-3ed6",
      "title": "Weekly Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics and by Season 2025–26 and 2025–26 Compared with 2024–25 Among Adults 18 Years, Overall, by Selected Demographics",
      "description": "• Weekly Influenza Vaccination Coverage and Comparison among adults 18 Years and Older by Jurisdiction.\n\n• Weekly estimates of influenza vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Surveys (NIS)-Fall Respiratory Virus Module (NIS-FRVM). The NIS-FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. All estimates are based upon self-reported receipt of vaccination and month of that vaccination. \n\n• The NIS-FRVM data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel. This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-03-04",
      "issued": "2024-09-18",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Flu Vaccinations"
        }
      ],
      "keyword": [
        "iis-child",
        "doses distributed",
        "cms",
        "vsd",
        "iis-adult",
        "flu vaccination",
        "nis-flu",
        "nis-child",
        "nis-acm",
        "ihs",
        "iqvia"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/fluvaxview/dashboard/adult-coverage.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics and by Season 2025–26 and 2025–26 Compared with 2024–25 Among Adults 18 Years, Overall, by Selected Demographics",
          "accessURL": "https://data.cdc.gov/d/4g6p-3ed6",
          "license": "Public Domain U.S. Government",
          "modified": "2026-03-04"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/4tme-u33f",
      "title": "Weekly Differences in Cumulative Respiratory Syncytial Virus (RSV) Vaccination Coverage and Comparison, Overall, by Jurisdiction, Among Adults 75 Years and Older and Adults 50-74 Years with High-Risk Conditions",
      "description": "• Weekly Cumulative RSV Vaccination Coverage and Intent Among Adults 75 Years and Older and 50-74 Years with High Risk Conditions Ever Vaccinated with RSV Vaccine by Demographic Characteristics and Jurisdiction\n\n• Weekly estimates of RSV vaccination coverage and intent among adults 75 years and older and 50-74 years with high risk conditions are calculated using data from the National Immunization Survey - Fall Respiratory Virus Module (NIS–FRVM). The NIS-FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older.\n\n• In June 2025, the Advisory Committee on Immunization Practices (ACIP) voted to recommend that adults aged 50–74 years who are at increased risk for severe RSV disease may receive a single dose of an RSV vaccine. In June 2024, the ACIP voted to recommend a single dose of RSV vaccine for all adults 75 years and older. The data below capture ever receiving a dose of an RSV vaccine by adults 50 years and older.\n\n• The NIS-FRVM data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel. This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-03-04",
      "issued": "2025-11-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "iqvia",
        "nis-acm",
        "rsv vaccination",
        "vsd",
        "cms",
        "iis"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/rsvvaxview/dashboard/adults-50-coverage-intent.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Differences in Cumulative Respiratory Syncytial Virus (RSV) Vaccination Coverage and Comparison, Overall, by Jurisdiction, Among Adults 75 Years and Older and Adults 50-74 Years with High-Risk Conditions",
          "accessURL": "https://data.cdc.gov/d/4tme-u33f",
          "license": "Public Domain U.S. Government",
          "modified": "2026-03-04"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/4zxn-f9dq",
      "title": "COVID-19 Cases Among Healthcare Personnel, by week - ARCHIVED",
      "description": "Weekly cases among healthcare personnel, by week\n\n<b>Note:</b> Rows marked by \"missing date fields\" represent healthcare worker cases that were not associated with a date.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-09-20",
      "issued": "2023-08-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Case Surveillance"
        }
      ],
      "keyword": [
        "healthcare personnel",
        "ncird-corvd",
        "covid-19",
        "coronavirus",
        "cases",
        "healthcare workers"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "COVID-19 Cases Among Healthcare Personnel, by week - ARCHIVED",
          "accessURL": "https://data.cdc.gov/d/4zxn-f9dq",
          "modified": "2023-09-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/52ds-xw49",
      "title": "Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians' Medical Offices, Adults 50 to 74 Years and 75 years and older, United States",
      "description": "• Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, Adults 50–74 Years and 75 Years and Older, United States\n\n• In June 2023, the Advisory Committee on Immunization Practices (ACIP) voted to recommend that adults aged ≥60 years may receive a single dose of an RSV vaccine, using shared clinical decision-making. In June 2024, the ACIP voted to recommend a single dose of RSV vaccine for all adults 75 years and older and adults 60–74 years who are at increased risk for severe RSV disease.† On June 26, 2024, CDC adopted these recommendations. In April 2025, ACIP recommended that adults 50–59 years who are at increased risk for severe RSV disease were added to the previous recommendation. This recommendation was adopted by the HHS Secretary on June 25, 2025.  The data below capture the number of RSV doses administered to adults 50 years and older.†\n\n• The projected pharmacy estimates are based on IQVIA‡,§ Longitudinal Prescription Claims (LRx)  and vaccinations administered in retail pharmacies (including chain, mass merchandise, food stores, and independent pharmacies). ± The projected physicians’ medical offices estimates are based on IQVIA’s Medical Claims (Dx).^ \n\n• Vaccinations administered in workplaces, community locations, long-term care settings, and other medical settings such as public health clinics are not represented in these data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-20",
      "issued": "2025-11-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "nis-acm",
        "iis",
        "iqvia",
        "vsd",
        "rsv vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/rsvvaxview/dashboard/adult-vaccinations-administered.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians' Medical Offices, Adults 50 to 74 Years and 75 years and older, United States",
          "accessURL": "https://data.cdc.gov/d/52ds-xw49",
          "license": "Public Domain U.S. Government",
          "modified": "2026-05-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/55uq-699y",
      "title": "Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse",
      "description": "Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged 65 years\n\n• Estimated COVID-19 vaccination coverage among Medicare fee-for-service beneficiaries >65 years is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS).\n\n• Starting in July 2023, the CDC recommended the RSV vaccine to protect against serious illness from RSV. (https://www.cdc.gov/respiratory-viruses/whats-new/rsv-update-2023-09-22.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-30",
      "issued": "2024-02-02",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "rsv",
        "vaccination",
        "older adults"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/vaxview/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse",
          "accessURL": "https://data.cdc.gov/d/55uq-699y",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-30"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/5c6r-xi2t",
      "title": "Weekly Respiratory Virus Vaccination Data, Children 6 Months-17 Years and Adults 18 Years and Older, National Immunization Survey",
      "description": "*Vaccination data updates for the 2024-2025 respiratory illness season ended on May 2, 2025.\nThe weekly respiratory virus vaccination data come from the National Immunization Survey-Adult COVID Module (NIS-ACM), National Immunization Survey-Child COVID Module (NIS-CCM), and the National Immunization Survey-Flu (NIS-Flu). The NIS-ACM provides data on Influenza (flu), COVID-19, and RSV vaccination for adults aged ≥18 years in the United States. The NIS-CCM provides data on COVID-19 vaccination for children aged 6 months-17 years in the United States. The NIS-Flu provides data on Influenza vaccination for children aged 6 months-17 years in the United States National Immunization Survey data are collected by telephone interview using a random-digit-dialed sample of cellular telephone numbers stratified by state, the District of Columbia, five local jurisdictions (Bexar County TX, Chicago IL, Houston TX, New York City NY, and Philadelphia County PA), and Guam, Puerto Rico, and the United States Virgin Islands. Data are weighted to represent the non-institutionalized United States population and mitigate possible bias that can result from incomplete sample frame (exclusion of households with no phone service or only landline telephones) or non-response. All responses are self-reported, or reported by a parent for children 6 months-17 years. For more information about the surveys, see https://www.cdc.gov/vaccines/imz-managers/nis/about.html#current-surveys. Estimates should be interpreted with caution when there is a small sample size or wide confidence interval.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-ISD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)/Immunization Services Division (ISD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-29",
      "issued": "2023-11-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "immunization",
        "nis-ccm",
        "coronavirus",
        "covid19",
        "nis-acm",
        "ncird",
        "vaccination-coverage",
        "vaccination",
        "rsv",
        "respiratory-virus-response"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Respiratory Virus Vaccination Data, Children 6 Months-17 Years and Adults 18 Years and Older, National Immunization Survey",
          "accessURL": "https://data.cdc.gov/d/5c6r-xi2t",
          "license": "Public Domain U.S. Government",
          "modified": "2026-05-29"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/5i5k-6cmh",
      "title": "COVID-19 Vaccination Age and Sex Trends in the United States, National and Jurisdictional",
      "description": "This site provides data for select demographic characteristics (age, sex, and age by sex) of people receiving COVID-19 vaccinations in the United States at the national and jurisdictional levels. For national race/ethnicity data, please visit <a href=\"https://data.cdc.gov/Vaccinations/COVID-19-Vaccination-Demographics-in-the-United-St/km4m-vcsb\">COVID-19 Vaccination Demographics in the United States,National</a>. For jurisdictional race/ethnicity data, please visit the relevant health department website if available.\n \nData represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-ISD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-05-12",
      "issued": "2022-05-11",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "coronavirus",
        "vaccination",
        "sex",
        "race",
        "izdl",
        "immunization",
        "ethnicity",
        "demographics",
        "covid-19",
        "administration",
        "age"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "COVID-19 Vaccination Age and Sex Trends in the United States, National and Jurisdictional",
          "accessURL": "https://data.cdc.gov/d/5i5k-6cmh",
          "license": "Public Domain U.S. Government",
          "modified": "2023-05-12"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/6jg4-xsqq",
      "title": "COVID-NET Rates and Clinical Data",
      "description": "This dataset includes hospitalization rates and selected clinical characteristics from COVID-NET for laboratory-confirmed COVID-19-associated hospitalizations. The data can be used to examine hospitalization burden, patient characteristics, clinical outcomes, and trends over time across COVID-NET surveillance sites.\nData are preliminary and subject to change as more data become available. Data will be updated weekly.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:resp-net@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)/Coronavirus and Other Respiratory Viruses Division (CORVD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-31",
      "issued": "2024-04-30",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "surveillance",
        "rates by race and ethnicity",
        "rates by age group",
        "rate",
        "hospitalizations",
        "hospitalization rate",
        "covid-net",
        "covidnet",
        "covid-19",
        "covid19",
        "covid",
        "respiratory illness",
        "respiratory virus response",
        "respnet",
        "resp-net"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/covid/php/covid-net/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "COVID-NET Rates and Clinical Data",
          "accessURL": "https://data.cdc.gov/d/6jg4-xsqq",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-31"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/6p3a-6xr9",
      "title": "Cumulative Influenza Vaccination Coverage and Intent for Vaccination Among Adults 18 Years and Older by Age, Race/Ethnicity, and COVID-19 Vaccination and Intent, United States; IPSOS Knowledge Panel and NORC AmeriSpeak Omnibus Surveys.",
      "description": "National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention. Cumulative Influenza Vaccination Coverage and Intent for Vaccination Among Adults 18 Years and Older by Age, Race/Ethnicity, and COVID-19 Vaccination and Intent, United States; IPSOS Knowledge Panel and NORC AmeriSpeak Omnibus Surveys.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-03-31",
      "issued": "2021-08-26",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "flu",
        "adults",
        "age",
        "age group",
        "covid-19",
        "covid-19 vaccination",
        "ethnicity",
        "influenza",
        "race",
        "vaccination",
        "vaccination coverage"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Cumulative Influenza Vaccination Coverage and Intent for Vaccination Among Adults 18 Years and Older by Age, Race/Ethnicity, and COVID-19 Vaccination and Intent, United States; IPSOS Knowledge Panel and NORC AmeriSpeak Omnibus Surveys.",
          "accessURL": "https://data.cdc.gov/d/6p3a-6xr9",
          "license": "Public Domain U.S. Government",
          "modified": "2023-03-31"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/6zuv-bn3z/",
      "title": "Survey Data - Restaurant Grading  [supporting dataset]",
      "description": "This dataset contains data obtained from a survey of regulatory restaurant inspection agencies. The survey assessed agency characteristics and practices, such as the number of restaurants in their jurisdiction and whether they publicly disclose restaurant inspection results. These data were combined with foodborne outbreak surveillance data to assess the relationship between the practice of posting graded inspection results and foodborne illness and outbreak rates.\nThis data supports the conclusions of the article \"Foodborne Outbreak Rates Associated with Restaurant Inspection Grading and Posting at the Point of Service: Evaluation Using National Foodborne Outbreak Surveillance Data.\" The article is also available in this repository..\nThe dataset contains 140 rows. The dataset contains 15 columns. Each row represents the food inspection activites of city, county, or district food inspection agencies.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Hao Tian",
          "hasEmail": "mailto:ejq7@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-10-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Cross-Sectional Studies\nDisease Outbreaks\nEnvironmental Health\nFoodborne Diseases / epidemiology\nFood Safety\nHealth Inspection\nPublic Health Surveillance\nReproducibility of Results\nRestaurants\nRisk Assessment\nSanitation"
        }
      ],
      "keyword": [
        "Foodborne illness\nFoodborne outbreak\nInspection results\nPublic disclosure",
        "Restaurant inspection\nRestaurant inspection grading"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/121793",
        "title": "Survey Data - Restaurant Grading  [supporting dataset]"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC) (U.S.)"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Center for Environmental Health"
      },
      "isReferencedBy": [
        "https://stacks.cdc.gov/view/cdc/258497"
      ],
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/6zuv-bn3z/",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/121794",
        "title": "CSV Data Dictionary"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Survey Data - Restaurant Grading  [supporting dataset]",
          "description": "This dataset contains data obtained from a survey of regulatory restaurant inspection agencies. The survey assessed agency characteristics and practices, such as the number of restaurants in their jurisdiction and whether they publicly disclose restaurant inspection results. These data were combined with foodborne outbreak surveillance data to assess the relationship between the practice of posting graded inspection results and foodborne illness and outbreak rates.\nThis data supports the conclusions of the article \"Foodborne Outbreak Rates Associated with Restaurant Inspection Grading and Posting at the Point of Service: Evaluation Using National Foodborne Outbreak Surveillance Data.\" The article is also available in this repository..\nThe dataset contains 140 rows. The dataset contains 15 columns. Each row represents the food inspection activites of city, county, or district food inspection agencies.",
          "accessURL": "https://stacks.cdc.gov/view/cdc/121793",
          "downloadURL": "https://stacks.cdc.gov/view/cdc/121793/cdc_121793_DS1.csv",
          "format": "CSV file",
          "mediaType": "text/csv",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/121794",
            "title": "CSV Data Dictionary"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/7dk4-g6vg",
      "title": "Weekly United States COVID-19 Hospitalization Metrics by Jurisdiction – ARCHIVED",
      "description": "<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.\n\nThis dataset represents weekly COVID-19 hospitalization data and metrics aggregated to national, state/territory, and regional levels. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.\n\n<b>Reporting information:</b><ul><li>As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS).</li><li>While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.</li><li>Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.</li><li>Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files.</li><li>Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf</li></ul>\n\n<b>Metric details:</b><ul><li><b>Time Period:</b> timeseries data will update weekly on Mondays as soon as they are reviewed and verified, usually before 8 pm ET. Updates will occur the following day when reporting coincides with a federal holiday. Note: Weekly updates might be delayed due to delays in reporting. All data are provisional. Because these provisional counts are subject to change, including updates to data reported previously, adjustments can occur. Data may be updated since original publication due to delays in reporting (to account for data received after a given Thursday publication) or data quality corrections.</li><li><b>New COVID-19 Hospital Admissions (count):</b> Number of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.</li><li><b>New COVID-19 Hospital Admissions (7-Day Average):</b> 7-day average of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.</li><li><b>Cumulative COVID-19 Hospital Admissions:</b> Cumulative total number of admissions of patients with labo",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-01-17",
      "issued": "2023-07-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "admissions",
        "icu beds",
        "inpatient beds",
        "hospital occupancy",
        "ncird-corvd",
        "covid-19",
        "coronavirus",
        "hospital capacity",
        "hospitalizations"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly United States COVID-19 Hospitalization Metrics by Jurisdiction – ARCHIVED",
          "accessURL": "https://data.cdc.gov/d/7dk4-g6vg",
          "license": "Public Domain U.S. Government",
          "modified": "2025-01-17"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/7esm-uptm",
      "title": "TABLE III. Deaths in 122 U.S. cities",
      "description": "TABLE III. Deaths in 122 U.S. cities - 2015122 Cities Mortality Reporting System ��� Each week, the vital statistics offices of 122 cities across the United States report the total number of death certificates processed and the number of those for which pneumonia or influenza was listed as the underlying or contributing cause of death by age group (Under 28 days, 28 days ���1 year, 1-14 years, 15-24 years, 25-44 years, 45-64 years, 65-74 years, 75-84 years, and ��� 85 years).FOOTNOTE:U: Unavailable      -: No reported cases * Mortality data in this table are voluntarily reported from 122 cities in the United States, most of which have populations of 100,000 or more. A death is reported by the place of its occurrence and by the week that the death certificate was filed. Fetal deaths are not included. ** Totals include unknown ages. *** Partial counts for this city.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC Info",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2016-01-07",
      "issued": "2015-01-13",
      "keyword": [
        "mortality",
        "influenza",
        "death",
        "2015",
        "122 cities",
        "pneumonia"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "TABLE III. Deaths in 122 U.S. cities",
          "accessURL": "https://data.cdc.gov/d/7esm-uptm",
          "modified": "2016-01-07"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/7mra-9cq9",
      "title": "2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State- COVID-19, Flu, RSV, Combined",
      "description": "2023 Respiratory Viruses Response – National Syndromic Surveillance Program Emergency Department Visit Trajectories - COVID-19, Flu, RSV, Combined – by state. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geography that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time both as of the given row date and as of the most current data submitted is characterized as increasing, decreasing or stable to provide awareness of how the weekly trend is changing for the given geographic region.\n\nFor the emergency department time series, trajectory classifications reported on the opening page are based on rolling regression model assessments of the slope for each respiratory illness. Weeks with a significant time term (p <0.05) are classified as increasing when the slope is positive and decreasing when the slope is negative. Weeks with a non-significant time term (p ≥ 0.05) are classified as stable. A 3-week moving average is applied to the time series prior to the regression procedure in order to smooth week-to-week variation.\n<br>\nFor additional information, please see:<a href=\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\n<br>\nUpdated once per week on Fridays.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NSSP",
          "hasEmail": "mailto:nssp@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Public Health Data, Surveillance, and Technology (OPHDST), National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-10-18",
      "issued": "2023-11-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "national-syndromic-surveillance-program",
        "influenza",
        "flu",
        "rvr",
        "ed",
        "covid19",
        "coronavirus",
        "emergency-department",
        "rsv",
        "respiratory-virus-response",
        "respiratory-syncytial-virus",
        "ophdst",
        "nssp",
        "ncird"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State- COVID-19, Flu, RSV, Combined",
          "accessURL": "https://data.cdc.gov/d/7mra-9cq9",
          "license": "Public Domain U.S. Government",
          "modified": "2024-10-18"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/7nbz-eajm",
      "title": "Infant Protection Against Respiratory Syncytial Virus (RSV) by Maternal RSV Vaccination or Receipt of RSV Monoclonal Antibody, and Intent for RSV Monoclonal Antibody Receipt Reported by Females Aged 18-49 Years Who Have an Infant <8 Months During the RSV",
      "description": "• Infant Protection Against RSV by Maternal RSV Vaccination or Receipt of Monoclonal Antibody, and Intent for RSV Monoclonal Antibody Receipt, Reported by Females Aged 18-49 Years Who Have an Infant <8 Months During the RSV Season (Born Since April 1, 2025), by Month of Interview\n\n• Monthly estimates of infant protection against RSV by maternal RSV vaccination or infant receipt of RSV monoclonal antibody (nirsevimab or clesrovimab), as well as intent for RSV monoclonal antibody receipt, were calculated using data from the National Immunization Surveys (NIS) – Fall Respiratory Virus Module (NIS–FRVM). The NIS–FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. Data were reported by adult females aged 18–49 years with infants under the age of 8 months during the RSV season (born since April 1, 2025). All estimates are based upon parent-reported receipt of RSV monoclonal antibody.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-03-11",
      "issued": "2025-11-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Pregnancy & Vaccination"
        }
      ],
      "keyword": [
        "rsv vaccination",
        "iqvia",
        "nis-acm",
        "vsd",
        "cms",
        "iis"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/rsvvaxview/dashboard/monoclonal-antibody-coverage-infants.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Infant Protection Against Respiratory Syncytial Virus (RSV) by Maternal RSV Vaccination or Receipt of RSV Monoclonal Antibody, and Intent for RSV Monoclonal Antibody Receipt Reported by Females Aged 18-49 Years Who Have an Infant <8 Months During the RSV",
          "accessURL": "https://data.cdc.gov/d/7nbz-eajm",
          "license": "Public Domain U.S. Government",
          "modified": "2026-03-11"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/7pvw-pdbr",
      "title": "United States COVID-19 County Level Data Sources - ARCHIVED",
      "description": "The Public Health Emergency (PHE) declaration for COVID-19 expired on May 11, 2023. As a result, the Aggregate Case and Death Surveillance System will be discontinued. Although these data will continue to be publicly available, this dataset will no longer be updated.\n\nOn October 20, 2022, CDC began retrieving aggregate case and death data from jurisdictional and state partners weekly instead of daily.\n\nThis dataset includes the URLs that were used by the aggregate county data collection process that compiled aggregate case and death counts by county. Within this file, each of the states (plus select jurisdictions and territories) are listed along with the county web sources which were used for pulling these numbers. Some states had a single statewide source for collecting the county data, while other states and local health jurisdictions may have had standalone sources for individual counties. In the cases where both local and state web sources were listed, a composite approach was taken so that the maximum value reported for a location from either source was used. The initial raw data were sourced from these links and ingested into the CDC aggregate county dataset before being published on the COVID Data Tracker.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-11-11",
      "issued": "2022-04-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "coronavirus",
        "aggregate county data",
        "cases",
        "ncird-corvd",
        "covid-19"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "United States COVID-19 County Level Data Sources - ARCHIVED",
          "accessURL": "https://data.cdc.gov/d/7pvw-pdbr",
          "modified": "2023-11-11"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/7xva-uux8",
      "title": "NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined – by Demographic Category",
      "description": "NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined – by Demographic Category\n\nFor additional information, please see: <a href=\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>.\n\nUpdated once per week on Fridays.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NSSP",
          "hasEmail": "mailto:nssp@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Public Health Data, Surveillance, and Technology (OPHDST), National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-31",
      "issued": "2023-09-27",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "nssp",
        "virus",
        "rvr",
        "rsv",
        "respiratory syncytial virus",
        "respiratory syncytial",
        "ophdst",
        "ncird",
        "national syndromic surveillance program",
        "influenza",
        "flu",
        "emergency department",
        "ed",
        "covid19",
        "coronavirus"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined – by Demographic Category",
          "accessURL": "https://data.cdc.gov/d/7xva-uux8",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-31"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/82ci-krud",
      "title": "Weekly United States COVID-19 Hospitalization Metrics by County (Historical) – ARCHIVED",
      "description": "<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.\n\n<b>Note:</b>\n<b>May 3,2024:</b> Due to incomplete or missing hospital data received for the April 21,2024 through April 27, 2024 reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on May 3, 2024.\n\n\nThis dataset represents COVID-19 hospitalization data and metrics aggregated to county or county-equivalent, for all counties or county-equivalents (including territories) in the United States as of the initial date of reporting for each weekly metric. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.\n\n<b>Reporting information:</b><ul><li>As of December 15, 2022, COVID-19 hospital data are required to be reported to  NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS). </li><li>While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.</li><li>Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.  </li><li>Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files. </li> <li>Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf</li></ul>\n<b>Calculation of county-level hospital metrics:</b><ul><li>County-level hospital data are derived using calculations performed at the Health Service Area (HSA) level. An HSA is defined by CDC’s National Center for Health Statistics as a geographic area containing at least one county which is self-contained with respect to the population’s provision of routine hospital care. Every county in the United States is assigned to an HSA, and each HSA must contain at least one hospital. Therefore, use of HSAs in the calculation of local hospital metrics allows for more accurate characterization of the relationship between health care utilization and health status at the local level. </li><li>Data presented at the county-level represent admissions, hosp",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-01-17",
      "issued": "2023-06-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "hospital occupancy",
        "hospitalizations",
        "hospital capacity",
        "covid-19",
        "coronavirus",
        "admissions",
        "icu beds",
        "ncird-corvd",
        "inpatient beds"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly United States COVID-19 Hospitalization Metrics by County (Historical) – ARCHIVED",
          "accessURL": "https://data.cdc.gov/d/82ci-krud",
          "license": "Public Domain U.S. Government",
          "modified": "2025-01-17"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/8396-v7yb",
      "title": "United States COVID-19 County Level of Community Transmission as Originally Posted - ARCHIVED",
      "description": "On October 20, 2022, CDC began retrieving aggregate case and death data from jurisdictional and state partners weekly instead of daily. This dataset contains archived community transmission and related data elements by county as originally displayed on the COVID Data Tracker. Although these data will continue to be publicly available, this dataset has not been updated since October 20, 2022. An archived dataset containing weekly community transmission data by county as originally posted can also be found here: <a href=\"https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6\">Weekly COVID-19 County Level of Community Transmission as Originally Posted | Data | Centers for Disease Control and Prevention (cdc.gov)</a>.\n\n<b>Related data</b>\nCDC has been providing the public with two versions of COVID-19 county-level community transmission level data: this dataset with the daily values as originally posted on the COVID Data Tracker, and an historical dataset with daily data as well as the updates and corrections from state and local health departments. Similar to this dataset, the <a href=\"https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-of-Community-T/nra9-vzzn\">original historical dataset</a> is archived on 10/20/2022. It will continue to be publicly available but will no longer be updated. A new dataset containing historical community transmission data by county is now published weekly and can be found at: <a href=\"https://data.cdc.gov/dataset/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn\">Weekly COVID-19 County Level of Community Transmission Historical Changes | Data | Centers for Disease Control and Prevention (cdc.gov)</a>.\n\nThis public use dataset has 7 data elements reflecting community transmission levels for all available counties and jurisdictions. It contains reported daily transmission levels at the county level with the same values used to display transmission maps on the COVID Data Tracker. Each day, the dataset is appended to contain the most recent day's data. Transmission level is set to low, moderate, substantial, or high using the calculation rules below.\n\n<b>Methods for calculating county level of community transmission indicator</b>\nThe County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and <a href=\"https://www.cdc.gov/mmwr/volumes/70/wr/mm7030e2.htm?s_cid=mm7030e2_w#T1_down\">here</a>). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making.\n\n<b>CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2</b>\n\n<b>Total New Case Rate Metric:</b> \"New cases per 100,000 persons in the past 7 days\" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. \"New cases per 100,000 persons in the past 7 days\" is considered to have a transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00).\n\n<b>Test Percent Positivity Metric:</b> \"Percentage of positive NAAT in the past 7 days\" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests conducted over the last 7 days. \"Percentage of positive NAAT in the past 7 days\" is considered to have a transmission level of Low (less than 5.00); Moderate (5.00-7.99); Substantial (8.00-9.99); and High (greater than or equal to 10.00).\n\nIf",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-10-20",
      "issued": "2021-08-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "coronavirus",
        "county",
        "covid-19",
        "community transmission",
        "laboratory",
        "ncird-corvd",
        "case"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "United States COVID-19 County Level of Community Transmission as Originally Posted - ARCHIVED",
          "accessURL": "https://data.cdc.gov/d/8396-v7yb",
          "license": "Public Domain U.S. Government",
          "modified": "2022-10-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/83ng-twza",
      "title": "Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States",
      "description": "Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States\n\n- Archived data are here:  https://data.cdc.gov/resource/uxgd-cqqc\n\n- CDC is exploring use of data obtained from IQVIA§ (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices. \n \n- These projected pharmacy estimates include flu vaccinations that were billed for (i.e. claims) or paid by cash. Medical office projected estimates are claims-based only.\n \n- The sampled pharmacies and physician medical offices and the captured volume of transactions represent approximately 92% and 82% of influenza vaccines administered nationally, respectively.\n \n- Vaccinations administered in other settings such as workplaces and community settings are not included in these data.\n \n\n*National estimates for pharmacies and medical offices include vaccinations administered in 50 states and DC. National estimates for medical office vaccinations do not include doses where geographic information (i.e. which state the dose was administered in) was missing. Pharmacy data are through Friday of each week and medical office data are through Saturday of each week. Week ending dates for prior seasons are aligned with the current season’s week ending dates.\n\n§ 1) King, L. M., Bartoces, M., Fleming-Dutra, K. E., et. al, L. A. (2020). Changes in US outpatient antibiotic prescriptions from 2011–2016external icon. Clinical Infectious Diseases, 70(3), 370-377. 2) McLaughlin, J. M., Swerdlow, D. L., Khan, F., et. Al (2019). Disparities in uptake of 13-valent pneumococcal conjugate vaccine among older adults in the United Statesexternal icon. Human vaccines & immunotherapeutics, 15(4), 841-849.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-05-24",
      "issued": "2021-01-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "physician medical office vaccinations",
        "vaccine coverage",
        "influenza",
        "iqvia",
        "pharmacy vaccinations",
        "flu"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-dashboard.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States",
          "accessURL": "https://data.cdc.gov/d/83ng-twza",
          "license": "Public Domain U.S. Government",
          "modified": "2024-05-24"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/89qs-mr7i",
      "title": "Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region",
      "description": "Monthly COVID-19 death rates per 100,000 population stratified by age group, race/ethnicity, sex, and region",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-02-21",
      "issued": "2023-10-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "coronavirus",
        "ncird-corvd",
        "mortality",
        "demographics",
        "deaths",
        "covid-19"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region",
          "accessURL": "https://data.cdc.gov/d/89qs-mr7i",
          "license": "Public Domain U.S. Government",
          "modified": "2024-02-21"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/8ame-63pc",
      "title": "Monthly Nirsevimab Receipt and Intent Among Females Aged 18-49 Years Who Have a Baby <8 Months, Are Currently Pregnant, or Are Trying to Get Pregnant, United States",
      "description": "Monthly Nirsevimab Receipt and Intent Among Females Aged 18-49 Years Who Have a Baby <8 Months, Are Currently Pregnant, or Are Trying to Get Pregnant.\n\n• Using data from the National Immunization Survey-Adult COVID Module (NIS-ACM), monthly estimates of receipt and intent for baby’s receipt of nirsevimab reported by females aged 18-49 years with infants under the age of 8 months, females aged 18-49 years who are currently pregnant, and females aged 18-49 years who are currently trying to get pregnant.\n\n• The NIS-ACM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-04-17",
      "issued": "2023-12-18",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Pregnancy & Vaccination"
        }
      ],
      "keyword": [
        "pregnancy",
        "rsv vaccination",
        "nis-acm"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/imz-managers/coverage/rsvvaxview/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Monthly Nirsevimab Receipt and Intent Among Females Aged 18-49 Years Who Have a Baby <8 Months, Are Currently Pregnant, or Are Trying to Get Pregnant, United States",
          "accessURL": "https://data.cdc.gov/d/8ame-63pc",
          "license": "Public Domain U.S. Government",
          "modified": "2024-04-17"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/8dyx-9z99",
      "title": "Cumulative Influenza Vaccination Coverage by Race/Ethnicity and Age Group, NIS-ACM (Archived)",
      "description": "Cumulative Influenza Vaccination Coverage Age Group, Race/Ethnicity, and Jurisdiction, Adults 18 Years and Older, United States, National Immunization Survey Adult COVID Module.\n\nThe National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-09-28",
      "issued": "2022-09-28",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "coverage",
        "flu vaccination",
        "influenza",
        "vaccine coverage",
        "vaccination",
        "adults"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/imz-managers/nis/",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Cumulative Influenza Vaccination Coverage by Race/Ethnicity and Age Group, NIS-ACM (Archived)",
          "accessURL": "https://data.cdc.gov/d/8dyx-9z99",
          "license": "Public Domain U.S. Government",
          "modified": "2022-09-28"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/8fbp-accd",
      "title": "Percent of Pregnant Women Ages 18 –49 Years Who have Received an Influenza Vaccine Overall, by Race and Ethnicity, and Season",
      "description": "Weekly influenza vaccination coverage estimates for pregnant women ages 18–49 years are based on electronic health record (EHR) data from the Vaccine Safety Datalink (VSD), a collaboration between CDC's Immunization Safety Office and multiple integrated health care organizations.\n\nThe denominator includes women with a pregnancy during the current flu season (defined as August through March) beginning before or during the specified week. The numerator includes those who received a flu vaccine since July 1 of the respective flu season before or during pregnancy as of the specified week ending date. Pregnant women are not removed from the numerator or denominator when the pregnancy ends. Cumulative vaccination coverage for one week may be lower than cumulative coverage for a previous week due to the addition of pregnant women in the denominator. Additionally, no requirements for length of enrollment in a VSD site are applied, and vaccinations given outside of a VSD site might not be included.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-20",
      "issued": "2024-09-17",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Pregnancy & Vaccination"
        }
      ],
      "keyword": [
        "flu vaccination",
        "iis",
        "iqvia",
        "nis-acm",
        "nis-flu",
        "vsd"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/fluvaxview/dashboard/pregnant-women-coverage.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Percent of Pregnant Women Ages 18 –49 Years Who have Received an Influenza Vaccine Overall, by Race and Ethnicity, and Season",
          "accessURL": "https://data.cdc.gov/d/8fbp-accd",
          "license": "Public Domain U.S. Government",
          "modified": "2026-05-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/8jp2-ecz7",
      "title": "Weekly Cumulative Percentage of Children Ages 6 Months -17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine, by Jurisdiction",
      "description": "• Weekly COVID-19 vaccination coverage estimates among children 6 months to 17 years is assessed through the National Immunization Survey (https://www.cdc.gov/vaccines/imz-managers/nis/about.html).\n\n• Weekly estimates of COVID-19 vaccination coverage among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-ccm). Beginning January 2, 2024, the NIS-CCM was discontinued, and questions regarding receipt of COVID-19 vaccination among children were added to the NIS-Flu (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-cim).\n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-08-28",
      "issued": "2023-12-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Child Vaccinations"
        }
      ],
      "keyword": [
        "covid-19 vaccination",
        "nis"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/imz-managers/coverage/covidvaxview/interactive/children-coverage-vaccination.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Percentage of Children Ages 6 Months -17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine, by Jurisdiction",
          "accessURL": "https://data.cdc.gov/d/8jp2-ecz7",
          "license": "Public Domain U.S. Government",
          "modified": "2024-08-28"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/8nyy-xsq7",
      "title": "Weekly Cumulative Influenza Vaccination Coverage Comparison between Current and Previous Season, Children 6 Months through 17 Years, United States",
      "description": "Weekly Cumulative Influenza Vaccination Coverage Comparison between Current and Previous Season, Children 6 Months through 17 Years, United States\n\n• Influenza vaccination coverage among children is assessed through the National Immunization Survey-Flu (NIS-Flu) annually, providing weekly influenza vaccination coverage estimates for children 6 months–17 years based upon parental report. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)\n\no NIS-Flu is a national random-digit-dialed cellular telephone survey of households conducted during the flu season (October-June).\n\n• Additional information about NIS-Flu methods and estimates from the 2019-2020 season are available at: https://www.cdc.gov/flu/fluvaxview/coverage-1920estimates.htm. Final estimates for prior seasons and other flu vaccination data are available at CDC’s FluVaxView.:  https://www.cdc.gov/flu/fluvaxview/index.htm.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-05-24",
      "issued": "2021-12-02",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Child Vaccinations"
        }
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Influenza Vaccination Coverage Comparison between Current and Previous Season, Children 6 Months through 17 Years, United States",
          "accessURL": "https://data.cdc.gov/d/8nyy-xsq7",
          "license": "Public Domain U.S. Government",
          "modified": "2024-05-24"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/8w4j-reb4",
      "title": "Vaccination Coverage among Nursing Home Residents",
      "description": "Vaccination Coverage among Nursing Home Residents\n\n• Data on influenza and pneumococcal vaccination coverage from the Long-Term Care Minimum Data Set (MDS) from the Centers for Medicare & Medicaid Services (CMS) at the national, regional, and state levels by sociodemographic characteristics.\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/adultvaxview/index.html and https://www.cdc.gov/flu/fluvaxview/index.htm",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-09-12",
      "issued": "2021-05-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "nursing home vaccination",
        "immunization",
        "influenza",
        "pneumococcal",
        "vaccination",
        "vaccination coverage",
        "vaxviews"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/index.htm",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Vaccination Coverage among Nursing Home Residents",
          "accessURL": "https://data.cdc.gov/d/8w4j-reb4",
          "modified": "2024-09-12"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/8xkx-amqh",
      "title": "COVID-19 Vaccinations in the United States,County",
      "description": "Overall US COVID-19 Vaccine administration and vaccine equity data at county level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-05-12",
      "issued": "2021-05-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "coronavirus",
        "izdl",
        "vaccination",
        "covid-19",
        "immunization",
        "age",
        "administration"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "COVID-19 Vaccinations in the United States,County",
          "accessURL": "https://data.cdc.gov/d/8xkx-amqh",
          "license": "Public Domain U.S. Government",
          "modified": "2023-05-12"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/8yup-c35n",
      "title": "Weekly Differences in Cumulative COVID-19 Vaccination Coverage by Selected Demographics and by Season, Among Adults 18 Years, Overall",
      "description": "•  Weekly COVID-19 Vaccination Coverage and Comparison among adults 18 Years and Older by Selected Demographics and by Season \n\n• Weekly estimates of COVID-19 vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Surveys (NIS)-Fall Respiratory Virus Module (NIS-FRVM) (https://www.cdc.gov/nis/about/index.html). \n\n• The NIS–FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. All estimates are based upon self-reported receipt of vaccination and month of that vaccination.\n\n• Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 and 2025–26 COVID-19 vaccines were first available at the end of August 2024 and 2025, respectively.\n\n• The NIS-FRVM data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-03-04",
      "issued": "2024-09-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "vsd",
        "cms",
        "covid-19 vaccination",
        "iis-adult",
        "iis-child",
        "iqvia",
        "nis-acm",
        "nis-child"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/covidvaxview/weekly-dashboard/adult-vaccination-coverage.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Differences in Cumulative COVID-19 Vaccination Coverage by Selected Demographics and by Season, Among Adults 18 Years, Overall",
          "accessURL": "https://data.cdc.gov/d/8yup-c35n",
          "license": "Public Domain U.S. Government",
          "modified": "2026-03-04"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/94wp-9pid",
      "title": "Vaccination Concerns, Issues, and Motivators | RespVaxView | Data | Centers for Disease Control and Prevention (cdc.gov)",
      "description": "• CDC is providing information on COVID-19, flu, and RSV vaccination concerns, issues, and motivators to supplement weekly vaccination data. These monthly data represent trends in vaccination concerns, issues, and motivators, by demographics and other characteristics.\n \n• The data start in August 2024.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-30",
      "issued": "2024-10-31",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "flu vaccination",
        "rsv vaccination",
        "covid-19 vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/respvaxview/about/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Vaccination Concerns, Issues, and Motivators | RespVaxView | Data | Centers for Disease Control and Prevention (cdc.gov)",
          "accessURL": "https://data.cdc.gov/d/94wp-9pid",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-30"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/9b5z-wnve",
      "title": "COVID-19 Vaccines Up to Date Status",
      "description": "This site provides historical data beginning June 14, 2023, for the visualization presented on <a href=\"https://covid.cdc.gov/covid-data-tracker/#vaccinations\">COVID-19 Data Tracker’s “Vaccinations in the United States</a>” site titled “Percent of Total Population Who Are Up to Date with COVID-19 Vaccines”\n\n<b>Definition for Up to Date:\nFor surveillance purposes people are ‘Upto Date’ with COVID-19 vaccines based on the following criteria:</b>\n\nPeople ages 6 years and older: Are up to date if they received 1 updated Pfizer-BioNTech or Moderna COVID-19 vaccine.\n\nChildren ages 6 months to 5 years who received the Pfizer-BioNTech COVID-19 vaccine: Are up to date if: At ages 6 months to 4 years, they received 3 COVID-19 vaccine doses, including at least 1 updated COVID-19 dose; at age 5 years, they received at least 1 updated COVID-19 vaccine dose.\n\nChildren ages 6 months to 5 years who received the Moderna COVID-19 vaccine: Are up to date if they received 2 Moderna COVID-19 vaccine doses, including at least 1 updated COVID-19 vaccine dose.\n\nPeople who are unable or choose not to get a recommended mRNA vaccine: Are up to date if they receive the Novavax COVID-19 vaccine doses approved for their age group.\n\nCDC uses US Census estimates for the total populations within each specified demographic group regardless of prior vaccination status as denominators.\n\nData represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-ISD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-10-13",
      "issued": "2023-06-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "izdl",
        "immunization",
        "covid-19",
        "coronavirus",
        "age",
        "administration",
        "vaccination"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "COVID-19 Vaccines Up to Date Status",
          "accessURL": "https://data.cdc.gov/d/9b5z-wnve",
          "license": "Public Domain U.S. Government",
          "modified": "2023-10-13"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/a3gi-4phs",
      "title": "Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 60 years and older, United States",
      "description": "Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 60 Years and Older, United States\n\n• Estimated Number of RSV vaccinations among adults 60 years and older is assessed through IQVIA (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices.\n\n• Starting in September 2023, the CDC recommended the RSV vaccine for adults 60 years and older.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-09-11",
      "issued": "2023-12-05",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "rsv vaccination",
        "iqvia",
        "adults"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/vaxview/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 60 years and older, United States",
          "accessURL": "https://data.cdc.gov/d/a3gi-4phs",
          "license": "Public Domain U.S. Government",
          "modified": "2024-09-11"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/aetd-68ew",
      "title": "Vaccination Coverage among Adults (18+ Years)",
      "description": "Vaccination Coverage among Adults (18+ Years)\n\n• Data on adult vaccination coverage from the Behavioral Risk Factor Surveillance System (BRFSS) for the general population at the national, regional, and state levels by age groups.\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/adultvaxview/index.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-03-11",
      "issued": "2021-05-12",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "pneumococcal",
        "vaxviews",
        "vaccination coverage",
        "vaccination",
        "tdap",
        "td",
        "shingles",
        "immunization",
        "zoster"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/imz-managers/coverage/adultvaxview/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Vaccination Coverage among Adults (18+ Years)",
          "accessURL": "https://data.cdc.gov/d/aetd-68ew",
          "modified": "2026-03-11"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/agz7-4mvg",
      "title": "Weekly Cumulative Influenza Vaccination Coverage, by Flu Season and Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse",
      "description": "• Influenza vaccination coverage among Medicare fee-for-service beneficiaries 65 years and older is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS).\n\n• Weekly influenza vaccination coverage estimates were calculated using Kaplan-Meier survival analysis, based on beneficiaries enrolled as of August 1 at the start of each flu season (example: Aug 1, 2021) until the end of the current season reporting time period or the end of May the following year for prior seasons (example: May 28, 2022). Influenza vaccines received since August 1 of each season, among adults who were 65 years or older as of the end of the first year of the season (e.g., December 31, 2025 for the 2025–26 season), were included.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-20",
      "issued": "2024-11-29",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Flu Vaccinations"
        }
      ],
      "keyword": [
        "nis",
        "vsd",
        "flu vaccination",
        "iis",
        "iqvia"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/fluvaxview/dashboard/adults-65-years-and-older.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Influenza Vaccination Coverage, by Flu Season and Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse",
          "accessURL": "https://data.cdc.gov/d/agz7-4mvg",
          "license": "Public Domain U.S. Government",
          "modified": "2026-05-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/ahrf-yqdt",
      "title": "Preliminary U.S. COVID-19 Burden Estimates",
      "description": "This dataset represents preliminary weekly estimates of cumulative U.S. COVID-19 burden, including illnesses, outpatient visits, hospitalizations and deaths, since the start of 2024 respiratory season. Estimates are preliminary, and use reported weekly hospitalizations among people with a laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The data are updated weekly as new COVID-19 hospitalizations are reported to CDC from the COVID-NET surveillance system and include both new admissions that occurred during the reporting week, as well as those admitted in previous weeks that may not have been included in earlier reporting. Each week CDC estimates a range (i.e., a lower estimate and an upper estimate) of COVID-19 hospitalizations, illnesses, outpatient visits, and deaths that have occurred since the start of respiratory season. For details, please refer to the publications [1, 8]. \n\n<b>Note:</b> Data are preliminary and subject to change as updated data become available. Rates for recent COVID-19 hospital admissions are subject to reporting delays; as new data are received each week, previous rates are updated accordingly. The methodology used for COVID-19 burden estimation between the surveillance periods was updated to account for inclusion of additional surveillance sites, seasonal changes to adjustment factors, revised outpatient visits, illnesses and death multiplier ratios, and improvements in estimation methods [1].\n\n<b>References</b>\n1. Koumans EHA, Khan D, Trejo I, et al; Estimate of Burden of COVID-19 Workgroup. Estimated burden of COVID-19 illnesses, medical visits, hospitalizations, and deaths in the US from October 2022 to September 2024. JAMA Intern Med. Published online January 5, 2026. <a href=\"https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2843383#250739811\">Estimated Burden of COVID-19 Illnesses, Medical Visits, Hospitalizations, and Deaths in the US From October 2022 to September 2024 | Coronavirus (COVID-19) | JAMA Internal Medicine | JAMA Network</a><br>2. Reed C, Chaves SS, Daily Kirley P, et al. Estimating influenza disease burden from population-based surveillance data in the United States. PLoS One. 2015;10(3):e0118369. <a href=\"https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0118369\">Estimating Influenza Disease Burden from Population-Based Surveillance Data in the United States | PLOS One</a><br>3. Rolfes, MA, Foppa, IM, Garg, S, et al. Annual estimates of the burden of seasonal influenza in the United States: A tool for strengthening influenza surveillance and preparedness. Influenza Other Respi Viruses. 2018; 12: 132– 137. <a href=\"https://doi.org/10.1111/irv.12486\">https://doi.org/10.1111/irv.12486</a><br>4. Tokars JI, Rolfes MA, Foppa  IM, Reed C.  An evaluation and update of methods for estimating the number of influenza cases averted by vaccination in the United States. Vaccine. 2018;36(48):7331-7337. doi:10.1016/j.vaccine.2018.10.026 <br>5. Collier SA, Deng L, Adam EA, Benedict KM, Beshearse EM, Blackstock AJ, Bruce BB, Derado G, Edens C, Fullerton KE, Gargano JW, Geissler AL, Hall AJ, Havelaar AH, Hill VR, Hoekstra RM, Reddy SC, Scallan E, Stokes EK, Yoder JS, Beach MJ. Estimate of Burden and Direct Healthcare Cost of Infectious Waterborne Disease in the United States. Emerg Infect Dis. 2021 Jan;27(1):140-149. doi: 10.3201/eid2701.190676. PMID: 33350905; PMCID: PMC7774540. <br>6. Reed C, Kim IK, Singleton JA,  et al. Estimated influenza illnesses and hospitalizations averted by vaccination–United States, 2013-14 influenza season. MMWR Morb Mortal Wkly Rep. 2014 Dec 12;63(49):1151-4. https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6349a2.htm <br>7. Reed C, Angulo FJ, Swerdlow DL, et al. Estimates of the Prevalence of Pandemic (H1N1) 2009, United States, April–July 2009. Emerg Infect Dis. 2009;15(12):2004-2007.<a href=\"https://dx.doi.org/10.3201/eid1512.091413\">https://dx.doi.org/10.3201/eid1512.091413</a> <br>8. Devine",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-24",
      "issued": "2024-10-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "outpatient visits",
        "illnesses",
        "hospitalizations",
        "disease burden",
        "deaths",
        "covid-19",
        "coronavirus"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Preliminary U.S. COVID-19 Burden Estimates",
          "accessURL": "https://data.cdc.gov/d/ahrf-yqdt",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-24"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/akkj-j5ru",
      "title": "National Immunization Survey Adult COVID Module (NIS-ACM): Trends in Vaccination Status and Intent",
      "description": "National Immunization Survey-Adult COVID Module (NIS-ACM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. These data represent trends in vaccination status and intent by week for the national-level view, and by month for the jurisdiction-level view.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-08-03",
      "issued": "2021-07-20",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "nis-acm",
        "covid-19 vaccination",
        "covid tracker"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://covid.cdc.gov/covid-data-tracker/#vaccine-confidence",
        "title": "covid.cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Immunization Survey Adult COVID Module (NIS-ACM): Trends in Vaccination Status and Intent",
          "accessURL": "https://data.cdc.gov/d/akkj-j5ru",
          "modified": "2023-08-03"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/akn2-qxic",
      "title": "Weekly United States COVID-19 Hospitalization Metrics by County – ARCHIVED",
      "description": "<b>Note:</b> After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.\n\n<b>Note:</b>\n<b>May 3,2024:</b> Due to incomplete or missing hospital data received for the April 21,2024 through April 27, 2024 reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on May 3, 2024.\n\nThis dataset represents COVID-19 hospitalization data and metrics aggregated to county or county-equivalent, for all counties or county-equivalents (including territories) in the United States. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.\n\n<b>Reporting information:</b><ul><li>As of December 15, 2022, COVID-19 hospital data are required to be reported to  NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS). </li><li>While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.</li><li>Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.  </li><li>Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files. </li> <li>Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf</li></ul>\n<b>Calculation of county-level hospital metrics:</b><ul><li>County-level hospital data are derived using calculations performed at the Health Service Area (HSA) level. An HSA is defined by CDC’s National Center for Health Statistics as a geographic area containing at least one county which is self-contained with respect to the population’s provision of routine hospital care. Every county in the United States is assigned to an HSA, and each HSA must contain at least one hospital. Therefore, use of HSAs in the calculation of local hospital metrics allows for more accurate characterization of the relationship between health care utilization and health status at the local level. </li><li>Data presented at the county-level represent admissions, hospital inpatient and ICU bed capacity and occupancy among hosp",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-01-17",
      "issued": "2023-05-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "coronavirus",
        "covid-19",
        "ncird-corvd",
        "inpatient beds",
        "icu beds",
        "hospital occupancy",
        "admissions",
        "hospitalizations",
        "hospital capacity"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly United States COVID-19 Hospitalization Metrics by County – ARCHIVED",
          "accessURL": "https://data.cdc.gov/d/akn2-qxic",
          "license": "Public Domain U.S. Government",
          "modified": "2025-01-17"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/amjr-ph5r",
      "title": "Weekly Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics and by Season, 2025– 26 and 2025–26 Compared with 2024–25, Children 6 Months–17 Years, United States",
      "description": "• Weekly Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics and by Season, 2025–26 and 2025–26 Compared with 2024–25, Children 6 Months–17 Years, United States.\n\n• Weekly Influenza vaccination coverage and parental intent for vaccination among children is calculated using data from the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html). NIS–Flu is a national random-digit-dialed cellular telephone survey of households with children ages 6 months–17 years conducted during October-June. The respondent to a NIS–Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.\n\n• The NIS-Flu data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-08-03",
      "issued": "2024-10-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Child Vaccinations"
        }
      ],
      "keyword": [
        "nis-ccm",
        "nis-flu",
        "flu vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/fluvaxview/dashboard/children-vaccination-coverage.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics and by Season, 2025– 26 and 2025–26 Compared with 2024–25, Children 6 Months–17 Years, United States",
          "accessURL": "https://data.cdc.gov/d/amjr-ph5r",
          "license": "Public Domain U.S. Government",
          "modified": "2026-08-03"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/ar8q-3jhn",
      "title": "2022–2023 Nationwide Blood Donor Seroprevalence Survey Combined Infection- and Vaccination-Induced Seroprevalence Estimates",
      "description": "CDC is collaborating with Vitalant Research Institute, American Red Cross, and Westat Inc. to conduct a nationwide COVID-19 seroprevalence survey of blood donors. De-identified blood samples are tested for antibodies to SARS-CoV-2 to better understand the percentage of people in the United States who have antibodies against SARS-CoV-2 (the virus that causes COVID-19) and to track how this percentage changes over time. Both SARS-CoV-2 infection and COVID-19 vaccines currently used in the United States result in production of anti-spike (anti-S) antibodies but only infection results in production of anti-nucleocapsid (anti-N) antibodies.\nInfection-induced seroprevalence estimates the proportion of the population with antibody evidence of previous SARS-CoV-2 infection and refers to the percent of the population with anti-nucleocapsid antibodies.\nCombined infection-Induced and Vaccination-Induced seroprevalence estimates the proportion of the population with antibody evidence of previous SARS-CoV-2 infection, COVID-19 vaccination, or both, and refers to the percent of the population that has anti-spike antibodies, anti-nucleocapsid antibodies, or both.\n\nThis link connects to a webpage that displays the data from the Nationwide Blood Donor Seroprevalence Survey. It offers an interactive visualization available at https://covid.cdc.gov/covid-data-tracker/#nationwide-blood-donor-seroprevalence-2022",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-06-06",
      "issued": "2022-10-31",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Laboratory Surveillance"
        }
      ],
      "keyword": [
        "coronavirus",
        "sars-cov",
        "seroprevalence",
        "serosurveys",
        "prevalence",
        "ncird-corvd",
        "laboratory",
        "covid-19",
        "covid19",
        "covid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2022–2023 Nationwide Blood Donor Seroprevalence Survey Combined Infection- and Vaccination-Induced Seroprevalence Estimates",
          "accessURL": "https://data.cdc.gov/d/ar8q-3jhn",
          "license": "Public Domain U.S. Government",
          "modified": "2024-06-06"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/b6ny-6cd5",
      "title": "Monthly Cumulative Number and Percent of Children 6 Months-17 Years and Adults 18 Years and Older Who Received 1+ Influenza Vaccination Doses and Comparison Between 2025–26 and Three Previous Seasons, by Jurisdiction, United States",
      "description": "•Monthly Cumulative Percent of Persons Who Received 1+ Influenza Vaccination Doses and Comparison Between 2025–26 and Three Previous Seasons, by Jurisdiction, United States.\n\n• Influenza (flu) vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly, in aggregate, by age group.\n\n• Monthly estimates shown are cumulative, reflecting all persons vaccinated from July 1 through a given month of that flu season.*,† Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-20",
      "issued": "2024-10-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Flu Vaccinations"
        }
      ],
      "keyword": [
        "iis",
        "vsd",
        "nis-acm",
        "flu vaccination",
        "iqvia"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/fluvaxview/dashboard/vaccine-administration-coverage-jurisdiction-iis.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Monthly Cumulative Number and Percent of Children 6 Months-17 Years and Adults 18 Years and Older Who Received 1+ Influenza Vaccination Doses and Comparison Between 2025–26 and Three Previous Seasons, by Jurisdiction, United States",
          "accessURL": "https://data.cdc.gov/d/b6ny-6cd5",
          "license": "Public Domain U.S. Government",
          "modified": "2026-05-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/b6uq-hdgz",
      "title": "Cumulative Influenza Vaccination Coverage and Comparison, Adults 18 Years and Older, US, National Immunization Survey-Adult COVID Module",
      "description": "Cumulative Influenza Vaccination Coverage and Comparison, Adults 18 Years and Older, United States, Data Source:  National Immunization Survey-Adult COVID Module.\n\n• The National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-04-28",
      "issued": "2022-12-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "influenza",
        "adults",
        "flu vaccination",
        "vaccination",
        "coverage",
        "vaccine coverage"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/imz-managers/nis/",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Cumulative Influenza Vaccination Coverage and Comparison, Adults 18 Years and Older, US, National Immunization Survey-Adult COVID Module",
          "accessURL": "https://data.cdc.gov/d/b6uq-hdgz",
          "license": "Public Domain U.S. Government",
          "modified": "2023-04-28"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/b8tp-jsmh",
      "title": "Measles Case and Genetic Metadata, Operation Allies Welcome",
      "description": "The table contains metadata variables used to execute compartmental and genetic modeling on measles cases investigated as a component of Operation Allies Welcome.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD/DVD/VVPDB",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-07-28",
      "issued": "2023-05-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Models"
        }
      ],
      "keyword": [
        "modeling",
        "measles",
        "sequencing"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Measles Case and Genetic Metadata, Operation Allies Welcome",
          "accessURL": "https://data.cdc.gov/d/b8tp-jsmh",
          "license": "Public Domain U.S. Government",
          "modified": "2023-07-28"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/brsb-akdp",
      "title": "Weekly Cumulative Updated 2023-24 COVID-19 Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse",
      "description": "Weekly Cumulative Updated 2023-24 COVID-19 Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years\n\n• Estimated COVID-19 vaccination coverage among Medicare fee-for-service beneficiaries >65 years is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS).\n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19. (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html)",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-08-03",
      "issued": "2024-02-02",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "adults",
        "covid-19 vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/vaxview/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Updated 2023-24 COVID-19 Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse",
          "accessURL": "https://data.cdc.gov/d/brsb-akdp",
          "license": "Public Domain U.S. Government",
          "modified": "2026-08-03"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/d2tw-32xv",
      "title": "Nationwide Commercial Laboratory Seroprevalence Survey",
      "description": "CDC is working with commercial laboratories to conduct large-scale geographic seroprevalence surveys to estimate the percentage of people who were previously infected with SARS-CoV-2, the virus that causes COVID-19 disease. The strategy involves working with state, local, territorial, academic, and commercial partners to better understand COVID-19 in the United States using serology (antibody) testing for surveillance (“seroprevalence surveys” or “serosurveys”). For the surveys, de-identified clinical blood samples are tested for antibodies to SARS-CoV-2.\n\nThis dataset contains the data used to by the Nationwide Commercial Laboratory Seroprevalence Survey interactive visualization available at <a href=\"https://covid.cdc.gov/covid-data-tracker/#national-lab\">https://covid.cdc.gov/covid-data-tracker/#national-lab</a>.\n\nAdditional information is available at <a href=\"https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/commercial-lab-surveys.html\">https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/commercial-lab-surveys.html</a>.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-01-26",
      "issued": "2020-10-21",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Laboratory Surveillance"
        }
      ],
      "keyword": [
        "seroprevalence",
        "covid",
        "covid19",
        "covid-19",
        "laboratory",
        "coronavirus",
        "ncird-corvd",
        "prevalence",
        "serosurveys"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Nationwide Commercial Laboratory Seroprevalence Survey",
          "accessURL": "https://data.cdc.gov/d/d2tw-32xv",
          "license": "Public Domain U.S. Government",
          "modified": "2023-01-26"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/dt66-w6m6",
      "title": "Weekly COVID-19 County Level of Community Transmission as Originally Posted - ARCHIVED",
      "description": "Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.\n\nWeekly COVID-19 Community Levels (CCLs) have been replaced with levels of COVID-19 hospital admission rates (low, medium, or high) which demonstrate <a href=\"https://www.cdc.gov/mmwr/volumes/72/wr/mm7219e1.htm\">>99% concordance</a> by county during February 2022–March 2023. For more information on the latest COVID-19 status levels in your area and hospital admission rates, visit <a href=\"https://covid.cdc.gov/covid-data-tracker/#cases_new-admissions-rate-county\">United States COVID-19 Hospitalizations, Deaths, and Emergency Visits by Geographic Area.</a>\n\nThis archived public use dataset contains historical case and percent positivity data updated weekly for all available counties and jurisdictions. Each week, the dataset was refreshed to capture any historical updates. Please note, percent positivity data may be incomplete for the most recent time period.\n\nThis archived public use dataset contains weekly community transmission levels data for all available counties and jurisdictions since October 20, 2022. The dataset was appended to contain the most recent week's data as originally posted on COVID Data Tracker. Historical corrections are not made to these data if new case or testing information become available. A separate archived file is made available here (<a href=\"https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn\">: Weekly COVID-19 County Level of Community Transmission Historical Changes</a>) if historically updated data are desired.\n\n<b>Related data</b>\nCDC provides the public with two active versions of COVID-19 county-level community transmission level data: this dataset with the levels as originally posted (<a href=\"https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6\">Weekly Originally Posted dataset</a>), updated weekly with the most recent week’s data since October 20, 2022, and a historical dataset with the county-level transmission data from January 22, 2020 (<a href=\"https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn\">Weekly Historical Changes dataset</a>). \n \n<b>Methods for calculating county level of community transmission indicator</b>\nThe County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and <a href=\"https://www.cdc.gov/mmwr/volumes/70/wr/mm7030e2.htm?s_cid=mm7030e2_w#T1_down\">here</a>). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making.\n \n<b>CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2</b>\n<b>Total New Case Rate Metric:</b> \"New cases per 100,000 persons in the past 7 days\" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. \"New cases per 100,000 persons in the past 7 days\" is considered to have a transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00).\n \n<b>Test Percent Positivity Metric:</b> \"Percentage of positive NAAT in the past 7 days\" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests conducted",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-05-08",
      "issued": "2022-10-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "county",
        "coronavirus",
        "community transmission",
        "case",
        "ncird-corvd",
        "laboratory",
        "covid-19"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly COVID-19 County Level of Community Transmission as Originally Posted - ARCHIVED",
          "accessURL": "https://data.cdc.gov/d/dt66-w6m6",
          "license": "Public Domain U.S. Government",
          "modified": "2024-05-08"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/e5zk-7tx5",
      "title": "Weekly Cumulative Influenza Vaccine Doses Distributed in the United States",
      "description": "Weekly Cumulative Influenza Vaccine Doses Distributed in the United States, 2016-2021\n\n• Flu vaccine is produced by private manufacturers. For the 2020-2021 season, manufacturers have projected they will provide as many as 194 to 198 million doses of influenza vaccine for the U.S. market.\n• Additional information is available: https://www.cdc.gov/flu/prevent/vaccine-supply-distribution.htm.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-09-28",
      "issued": "2022-09-28",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "flu vaccination",
        "flu",
        "influenza"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-dashboard.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Influenza Vaccine Doses Distributed in the United States",
          "accessURL": "https://data.cdc.gov/d/e5zk-7tx5",
          "license": "Public Domain U.S. Government",
          "modified": "2022-09-28"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/eanj-9nie",
      "title": "Weekly Cumulative COVID-19 Vaccination Coverage Map and Comparison Between 2025–26 and Previous Seasons, Overall, by Jurisdiction Among Adults 18 Years",
      "description": "• Weekly COVID-19 Vaccination Coverage of Adults 18 Years and Older by Jurisdiction \n\n• Weekly estimates of COVID-19 vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Surveys (NIS)-Fall Respiratory Virus Module (NIS-FRVM) (https://www.cdc.gov/nis/about/index.html).\n\n• The NIS–FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. All estimates are based upon self-reported receipt of vaccination and month of that vaccination.\n\n• Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 and 2025–26 COVID-19 vaccines were first available at the end of August 2024 and 2025, respectively.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-03-04",
      "issued": "2024-09-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "iis-child",
        "iqvia",
        "nis-acm",
        "covid-19 vaccination",
        "vsd",
        "nis-child",
        "cms",
        "iis-adult"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/covidvaxview/weekly-dashboard/adult-vaccination-coverage.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative COVID-19 Vaccination Coverage Map and Comparison Between 2025–26 and Previous Seasons, Overall, by Jurisdiction Among Adults 18 Years",
          "accessURL": "https://data.cdc.gov/d/eanj-9nie",
          "license": "Public Domain U.S. Government",
          "modified": "2026-03-04"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/ee48-w5t6",
      "title": "Vaccination Coverage among Adolescents (13-17 Years)",
      "description": "Vaccination Coverage among Adolescents (13-17 Years)\n\n• Data on adolescent vaccination coverage and selected sociodemographic characteristics by State, HHS Region, and the United States from the National Immunization Survey-Teen (NIS-Teen).\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/teenvaxview/index.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-08-14",
      "issued": "2021-05-12",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Teen Vaccinations"
        }
      ],
      "keyword": [
        "menacwy",
        "immunization",
        "mmr",
        "sociodemographic data",
        "td",
        "tdap",
        "teen vaccination",
        "vaccination",
        "vaccination coverage",
        "vaxviews",
        "hpv",
        "hepb",
        "adolescent vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/imz-managers/coverage/teenvaxview/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Vaccination Coverage among Adolescents (13-17 Years)",
          "accessURL": "https://data.cdc.gov/d/ee48-w5t6",
          "modified": "2025-08-14"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/ee83-ukst",
      "title": "National Immunization Survey Fall Respiratory Virus Module (NIS-FRVM): RespVaxView| Data | Centers for Disease Control and Prevention (cdc.gov)",
      "description": "• National Immunization Survey Fall Respiratory Virus Module (NIS-FRVM): CDC is providing information on the updated 2025-26 COVID-19 vaccine, the 2025-26 seasonal flu vaccine, and the RSV vaccine uptake and confidence. These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.\n\n• The data start in October 2025.\n\n• The archived data can be found here:\n- 2024-25 season: https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/si7g-c2bs/about_data\n- 2023-24 season: https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/uc4z-hbsd/about_data\n- Before October 2023:\nhttps://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/udsf-9v7b/about_data",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-03-04",
      "issued": "2025-12-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "vaccination",
        "flu vaccination",
        "nis-acm",
        "rsv vaccination",
        "vaccine confidence",
        "vaccination coverage",
        "covid-19 vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/respvaxview/about/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Immunization Survey Fall Respiratory Virus Module (NIS-FRVM): RespVaxView| Data | Centers for Disease Control and Prevention (cdc.gov)",
          "accessURL": "https://data.cdc.gov/d/ee83-ukst",
          "license": "Public Domain U.S. Government",
          "modified": "2026-03-04"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/efqg-e273",
      "title": "Weekly COVID-19 Vaccination Coverage among Pregnant Women by Race and Ethnicity",
      "description": "Weekly COVID-19 Vaccination Coverage, Pregnant Women 18-49 Years Old\n\n• COVID-19 vaccination coverage among pregnant women is assessed through the Vaccine Safety Datalink*\n\n• Data on updated 2023-24 COVID-19 vaccinations among pregnant women was available starting September 23, 2023, and includes doses received starting September 14, 2023.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-08-28",
      "issued": "2023-10-31",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Pregnancy & Vaccination"
        }
      ],
      "keyword": [
        "adult",
        "pregnancy",
        "vsd",
        "covid-19 vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/respiratory-viruses/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly COVID-19 Vaccination Coverage among Pregnant Women by Race and Ethnicity",
          "accessURL": "https://data.cdc.gov/d/efqg-e273",
          "license": "Public Domain U.S. Government",
          "modified": "2024-08-28"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/egm8-9wq7",
      "title": "Archive: COVID-19 LTC Program Vaccinations and Trends in the United States, Jurisdiction",
      "description": "The Federal Pharmacy Partnership for Long-Term Care (LTC) Program was a partnership between CDC and CVS, Walgreens, and Managed Health Care Associates, Inc. The program offered on-site COVID-19 vaccination services for residents of nursing homes and assisted living facilities. The Federal Pharmacy Partnership for LTC Program was in effect after vaccines became available to April 23, 2021. This is the historical archived data related to the LTC Program and represents data that was shown on COVID Data Tracker through September 30, 2021. Twelve variables that provided data on residents and staff vaccinated through the program were removed from the COVID-19 Vaccinations in the United States,Jurisdiction dataset. LTC was removed as an option from the location variable in the following datasets: COVID-19 Vaccinations in the United States,Jurisdiction and COVID-19 Vaccination Trends in the United States,National and Jurisdictional.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-ISD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2021-10-06",
      "issued": "2021-10-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "immunization",
        "vaccination",
        "administration",
        "coronavirus",
        "covid-19",
        "izdl",
        "report date"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Archive: COVID-19 LTC Program Vaccinations and Trends in the United States, Jurisdiction",
          "accessURL": "https://data.cdc.gov/d/egm8-9wq7",
          "license": "Public Domain U.S. Government",
          "modified": "2021-10-06"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/eudc-n39h",
      "title": "Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States",
      "description": "Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States\n\n• Archived data are available here:  https://data.cdc.gov/resource/vfj2-bfuw\n• Influenza vaccination coverage among children is assessed through the National Immunization Survey-Flu (NIS-Flu) annually, providing weekly influenza vaccination coverage estimates for children 6 months–17 years based upon parental report. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)\no NIS-Flu is a national random-digit-dialed cellular telephone survey of households conducted during the flu season (October-June).\n• Final estimates for prior seasons and other flu vaccination data are available at CDC’s FluVaxView:  https://www.cdc.gov/flu/fluvaxview/index.htm.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-05-24",
      "issued": "2021-01-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "influenza",
        "flu",
        "nis",
        "nis-flu",
        "children",
        "vaccine coverage",
        "flu shot"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-dashboard.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States",
          "accessURL": "https://data.cdc.gov/d/eudc-n39h",
          "license": "Public Domain U.S. Government",
          "modified": "2024-05-24"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/ewpg-rz7g",
      "title": "Weekly Cumulative Estimated Number of COVID-19 Vaccinations Administered in Retail Pharmacies and Physician Medical Offices, Adults 18 years and older, by Season and Age Group, United States",
      "description": "•Weekly Cumulative Estimated Number of COVID-19 Vaccinations Administered in Retail Pharmacies and Physician Medical Offices, Adults 18 Years and Older, United States \n\n•The projected pharmacy estimates are based on  IQVIA†,‡ Longitudinal Prescription Claims (LRx) and vaccinations administered in retail pharmacies (including chain, mass merchandise, food stores, and independent pharmacies). § The projected physicians’ medical offices estimates are based on IQVIA’s Medical Claims (Dx). ±  \n\n•Vaccinations administered in workplaces, community locations, long-term care settings, and other medical settings such as public health clinics are not represented in these data.\n\n• Weekly comparisons to previous seasons should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 and 2025–26 COVID-19 vaccines were first available at the end of August 2024 and 2025, respectively. ^",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-20",
      "issued": "2024-10-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "iis",
        "covid-19 vaccination",
        "vsd",
        "nis-acm",
        "iqvia"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/covidvaxview/weekly-dashboard/vaccinations-administered-pharmacies-medical.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Estimated Number of COVID-19 Vaccinations Administered in Retail Pharmacies and Physician Medical Offices, Adults 18 years and older, by Season and Age Group, United States",
          "accessURL": "https://data.cdc.gov/d/ewpg-rz7g",
          "license": "Public Domain U.S. Government",
          "modified": "2026-05-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/exs3-hbne",
      "title": "Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region with Double Stratification",
      "description": "Monthly COVID-19 death rates per 100,000 population stratified by age group, race/ethnicity, sex, and region, with race/ethnicity by age group and age group by race/ethnicity double stratification",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:COVIDsurveillance@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-20",
      "issued": "2024-01-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "race and ethnicity",
        "covid-19",
        "mortality",
        "sex",
        "coronavirus",
        "deaths",
        "ncird-corvd",
        "age-adjusted",
        "age group"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region with Double Stratification",
          "accessURL": "https://data.cdc.gov/d/exs3-hbne",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/fhky-rtsk",
      "title": "Vaccination Coverage among Young Children (0-35 Months)",
      "description": "Vaccination Coverage among Young Children (0-35 Months)\n\n• National, regional, state, and selected local area vaccination coverage estimates for 2-year-old children by birth year and birth year cohorts from the National Immunization Survey-Child.\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/childvaxview/index.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-04-02",
      "issued": "2021-05-12",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Child Vaccinations"
        }
      ],
      "keyword": [
        "vaccination coverage",
        "varicella",
        "vaxviews",
        "child vaccination",
        "combined 7 series",
        "dtap",
        "hepa",
        "hepatitis a",
        "hepatitis b",
        "hepb",
        "hib",
        "immunization",
        "influenza",
        "mmr",
        "pcv",
        "polio",
        "rotavirus",
        "vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/imz-managers/coverage/childvaxview/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Vaccination Coverage among Young Children (0-35 Months)",
          "accessURL": "https://data.cdc.gov/d/fhky-rtsk",
          "modified": "2026-04-02"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/g2ck-geg5",
      "title": "Monthly Cumulative Number and Percent of Persons Who Receive ≥1 Influenza Vaccination Doses and Comparison Between 2023-2024 and Two Previous Seasons, by Jurisdiction, United States",
      "description": "Monthly Cumulative Number and Percent of Persons Who Receive ≥1 Influenza Vaccination Doses and Comparison Between 2023-2024 and Two Previous Seasons, by Jurisdiction, United States\n\n• Influenza vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group. More information about the IIS can be found at https://www.cdc.gov/vaccines/programs/iis/about.html.\n\n• Influenza vaccination coverage estimate numerators include the number of people receiving at least one dose of influenza vaccine in a given flu season, based on information that state, territorial, and local public health agencies report to CDC. Some jurisdictions’ data may include data submitted by tribes. Estimates include persons who are deceased but received a vaccination during the current season. People receiving doses are attributed to the jurisdiction in which the person resides unless noted otherwise. Quality and completeness of data may vary across jurisdictions. Influenza vaccination coverage denominators are obtained from 2020 U.S. Census Bureau population estimates.\n\n• Monthly estimates shown are cumulative, reflecting all persons vaccinated from July through a given month of that flu season. Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.\n\n• Because IIS data contain all vaccinations administered within a jurisdiction rather than a sample, standard errors were not calculated and statistical testing for differences in estimates across years were not performed.\n\n• Laws and policies regarding the submission of vaccination data to an IIS vary by state, which may impact the completeness of vaccination coverage reflected for a jurisdiction. More information on laws and policies are found at https://www.cdc.gov/vaccines/programs/iis/policy-legislation.html.\n\n• Coverage estimates based on IIS data are expected to differ from National Immunization Survey (NIS) estimates for children (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-coverage-race.html)                \nand adults (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-adult-coverage.html) because NIS estimates are based on a sample that may not be representative after survey weighting and vaccination status is determined by survey respondent rather than vaccine records or administrations, and quality and completeness of IIS data may vary across jurisdictions. In general, NIS estimates tend to overestimate coverage due to overreporting and IIS estimates may underestimate coverage due to incompleteness of data in certain jurisdictions.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-09-03",
      "issued": "2024-01-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Flu Vaccinations"
        }
      ],
      "keyword": [
        "vaccination coverage",
        "immunization information system",
        "iis",
        "flu vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-dashboard.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Monthly Cumulative Number and Percent of Persons Who Receive ≥1 Influenza Vaccination Doses and Comparison Between 2023-2024 and Two Previous Seasons, by Jurisdiction, United States",
          "accessURL": "https://data.cdc.gov/d/g2ck-geg5",
          "license": "Public Domain U.S. Government",
          "modified": "2024-09-03"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/g4jn-64pd",
      "title": "Weekly Respiratory Syncytial Virus (RSV) Vaccination Coverage among Pregnant Women by Race and Ethnicity",
      "description": "Weekly RSV Vaccination Coverage, Pregnant Women 18-49 Years Old\n\n• RSV vaccination coverage among pregnant women is assessed through the Vaccine Safety Datalink*\n\n• Data on RSV vaccinations among pregnant women was available starting September 22, 2023, and includes doses received starting September 24, 2023.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-04-17",
      "issued": "2023-12-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Pregnancy & Vaccination"
        }
      ],
      "keyword": [
        "pregnancy",
        "vsd",
        "rsv"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/respiratory-viruses/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Respiratory Syncytial Virus (RSV) Vaccination Coverage among Pregnant Women by Race and Ethnicity",
          "accessURL": "https://data.cdc.gov/d/g4jn-64pd",
          "license": "Public Domain U.S. Government",
          "modified": "2024-04-17"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/g57i-yx3r",
      "title": "Weekly Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States",
      "description": "Weekly Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States\n\n• Influenza vaccination coverage among Medicare fee-for-service beneficiaries aged ≥65 years is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS).\n\n• Weekly influenza vaccination coverage estimates were calculated using Kaplan-Meier survival analysis, based on beneficiaries enrolled as of August 1, 2019 and followed through May 31, 2020 for 2019-20 flu season; and enrolled as of August 1, 2020 and followed through May 31, 2021 for 2020-21 flu season; and enrolled as of Aug 1, 2021 and followed through May 28, 2022 for the 2021-22 flu season.\n\n• Additional information about data source is available https://www2.ccwdata.org/web/guest/home/.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-22",
      "issued": "2021-01-28",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "flu vaccination",
        "flu",
        "influenza"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-dashboard.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years, United States",
          "accessURL": "https://data.cdc.gov/d/g57i-yx3r",
          "license": "Public Domain U.S. Government",
          "modified": "2025-04-22"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/gr26-95h2",
      "title": "National Immunization Survey Child COVID Module (NIS-CCM): Vaccination Status and Intent by Demographics | Data | Centers for Disease Control and Prevention (cdc.gov)",
      "description": "National Immunization Survey Child COVID Module (NIS-CCM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-08-03",
      "issued": "2021-11-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "covid-19 vaccination",
        "covid tracker",
        "nis-ccm"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Immunization Survey Child COVID Module (NIS-CCM): Vaccination Status and Intent by Demographics | Data | Centers for Disease Control and Prevention (cdc.gov)",
          "accessURL": "https://data.cdc.gov/d/gr26-95h2",
          "modified": "2023-08-03"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/gvsb-yw6g",
      "title": "Percent Positivity of COVID-19 Nucleic Acid Amplification Tests by HHS Region, National Respiratory and Enteric Virus Surveillance System",
      "description": "More than 450 public health and clinical laboratories located throughout the United States participate in surveillance for severe acute respiratory virus coronavirus type 2 (SARS-CoV-2), the virus that causes COVID-19, through CDC's National Respiratory and Enteric Virus Surveillance System (NREVSS). The dataset contains a weekly summary of aggregate counts of the total SARS-CoV-2 tests and SARS-CoV-2 detections reported to NREVSS since March 14, 2020. These data are reported weekly on a voluntary basis. Clinical laboratories do not report demographic data through NREVSS. Testing practices may vary regionally, and the number of participating laboratories may change from year to year. Results can be changed for up to 2 years after the initial reporting week. However, discrepancies may be noted and updated at the discretion of the data stewards and key stakeholders.\n\nWhile NREVSS strives to present the most precise estimates of respiratory viral trends with reporting burden minimized for participating laboratories, there are several inherent limitations to this surveillance system.\n\nNREVSS does not collect patient-specific data or demographic information. Multiple samples may be collected from a single patient, so NREVSS results do not necessarily reflect the number of patients tested, nor do they directly reflect hospitalizations or deaths related to COVID-19.\n\nParticipating laboratories vary in size, testing capabilities, and areas served. Some institutions may receive and test samples from sites across a given state or even from multiple states. Without direct knowledge of the population base, NREVSS cannot be used to determine the prevalence or incidence of infection.\n\nFor more information on NREVSS and COVID-19 surveillance please visit: https://www.cdc.gov/surveillance/nrevss. These data appear starting May 25, 2023 on the CDC COVID Data Tracker at the following URLs: https://covid.cdc.gov/covid-data-tracker/#trends ; https://covid.cdc.gov/covid-data-tracker/#cases.  \n\nNREVSS data are reported at the national and HHS regional levels. The ten (10) U.S. Department of HHS regions are defined here: https://www.hhs.gov/about/agencies/iea/regional-offices/index.html.\n\nThe data represent SARS-CoV-2 Nucleic Acid Amplification Test (NAAT) results, which include reverse transcriptase-polymerase chain reaction (RT-PCR) tests from a voluntary, sentinel network of participating laboratories in the United States, including clinical, public health and commercial laboratories (https://www.cdc.gov/surveillance/nrevss/labs/index.html).\n\nThese data exclude antigen, antibody, and at-home test results.\n\nAll data are provisional and subject to change. Reporting is less complete for the past 1 week, and more complete (>90%) for the period 2 weeks earlier.\n\nThere are data from all states across the 10 HHS regions. Because the data are from a sentinel network of laboratories, however, results may vary geographically. The data do not include all test results within a jurisdiction and therefore do not reflect all SARS-CoV-2 NAATs administered in the United States.\n\nPercent positivity is one of the surveillance metrics used to monitor COVID-19 transmission over time and by area. Percent positivity is calculated by dividing the number of positive NAATs by the total number of NAATs administered, then multiplying by 100 [(# of positive NAAT tests / total NAAT tests) x 100].\n\nThe data represent laboratory tests performed, not individual (deduplicated) results in people. In the table and upon hovering on the map, the total test counts in the data reflect the latest data reported from NREVSS laboratories and may not match the data presented by various jurisdictions.\n\nOn May 11, 2023, CDC discontinued utilizing the COVID electronic laboratory reporting (CELR) platform as the primary laboratory source of COVID-19 results. These data are archived at health.data.gov.\n\nFor more information about NREVSS, please see: https://www.cdc.gov/surveillance/nrevss/",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:nrevss@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD), Coronavirus and Other Respiratory Viruses Division (CORVD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-30",
      "issued": "2023-06-05",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Laboratory Surveillance"
        }
      ],
      "keyword": [
        "covid19",
        "nrevss",
        "test"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://covid.cdc.gov/covid-data-tracker/#trends",
        "title": "covid.cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Percent Positivity of COVID-19 Nucleic Acid Amplification Tests by HHS Region, National Respiratory and Enteric Virus Surveillance System",
          "accessURL": "https://data.cdc.gov/d/gvsb-yw6g",
          "modified": "2026-07-30"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/gxj9-t96f",
      "title": "Archive: COVID-19 Vaccination and Case Trends by Age Group, United States",
      "description": "</p><p style=\"margin:0in;vertical-align:baseline;\"><strong><em><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>After October 13, 2022, this dataset will no longer be updated as the related CDC COVID Data Tracker site was retired on October 13, 2022.</span></em></strong><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>&nbsp;</span></p>This dataset contains historical trends in vaccinations and cases by age group, at the US national level. Data is stratified by at least one dose and fully vaccinated. Data also represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-10-14",
      "issued": "2021-07-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "report date",
        "izdl",
        "cases",
        "coronavirus",
        "covid-19",
        "administration",
        "immunization",
        "vaccination"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Archive: COVID-19 Vaccination and Case Trends by Age Group, United States",
          "accessURL": "https://data.cdc.gov/d/gxj9-t96f",
          "license": "Public Domain U.S. Government",
          "modified": "2022-10-14"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/h7pm-wmjc",
      "title": "Vaccination Coverage among Pregnant Women",
      "description": "Vaccination Coverage among Pregnant Women\n\n• Data on influenza and tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis (Tdap) vaccination coverage at the state level from the Pregnancy Risk Assessment Monitoring System (PRAMS) for women who had a recent live birth by age and race/ethnicity.\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/adultvaxview/index.html and https://www.cdc.gov/flu/fluvaxview/index.htm",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-01-13",
      "issued": "2021-05-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Pregnancy & Vaccination"
        }
      ],
      "keyword": [
        "vaxviews",
        "immunization",
        "influenza",
        "pregnancy & vaccinations",
        "td",
        "tdap",
        "vaccination",
        "vaccination coverage"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/index.htm",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Vaccination Coverage among Pregnant Women",
          "accessURL": "https://data.cdc.gov/d/h7pm-wmjc",
          "modified": "2025-01-13"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/hea5-6w9c",
      "title": "Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, Adults 60 to 74 Years and 75 years and older, United States",
      "description": "•Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, Adults 60 to 74 Years and 75 Years and Older, United States \n\n• Estimated Number of RSV vaccinations among adults 60 years and older is assessed through IQVIA (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-05-16",
      "issued": "2024-10-08",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "vsd",
        "iis",
        "iqvia",
        "nis-acm",
        "rsv vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/data-reporting/",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Estimated Number of RSV Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, Adults 60 to 74 Years and 75 years and older, United States",
          "accessURL": "https://data.cdc.gov/d/hea5-6w9c",
          "license": "Public Domain U.S. Government",
          "modified": "2025-05-16"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/hhvg-83jq",
      "title": "Examination of SARS-CoV-2 serological test results from multiple commercial and laboratory platforms with an in-house serum panel",
      "description": "Severe acute respiratory syndrome (SARS) coronavirus 2 (SARS-CoV-2) is a novel human coronavirus that was identified in 2019. SARS-CoV-2 infection results in an acute, severe respiratory disease called coronavirus disease 2019 (COVID-19).  The emergence and rapid spread of SARS-CoV-2 has led to a global public health crisis, which continues to affect populations across the globe. Real time reverse transcription polymerase chain reaction (rRT-PCR) is the reference standard test for COVID-19 diagnosis. Serological tests are valuable tools for serosurveillance programs and establishing correlates of protection from disease. This study evaluated the performance of one in-house enzyme linked immunosorbent assay (ELISA) utilizing the pre-fusion stabilized ectodomain of SARS-CoV-2 spike (S), two commercially available chemiluminescence assays Ortho VITROS Immunodiagnostic Products Anti-SARS-CoV-2 Total Reagent Pack and Abbott SARS-CoV-2 IgG assay and one commercially available Surrogate Virus Neutralization Test (sVNT), GenScript USA Inc., cPass SARS-CoV-2 Neutralization Antibody Detection Kit for the detection of SARS-CoV-2 specific antibodies.  Using a panel of rRT-PCR confirmed COVID-19 patients’ sera and a negative control group as a reference standard, all three immunoassays demonstrated high comparable positivity rates and low discordant rates.  All three immunoassays were highly sensitive with estimated sensitivities ranging from 95.4%-96.6%. ROC curve analysis indicated that all three immunoassays had high diagnostic accuracies with area under the curve (AUC) values ranging from 0.9698-0.9807. High positive correlation was demonstrated among the conventional microneutralization test (MNT) titers and the sVNT inhibition percent values.  Our study indicates that independent evaluations are necessary to optimize the overall utility and the interpretation of the results of serological tests.  Overall, we demonstrate that all serological tests evaluated in this study are suitable for the detection of SARS-CoV-2 antibodies.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-12-13",
      "issued": "2023-12-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Coronavirus and Other Respiratory Viruses"
        }
      ],
      "keyword": [
        "serological tests",
        "antibodies",
        "covid-19",
        "immunoassays",
        "ncird-corvd",
        "neutralization assay",
        "sars-cov-2"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Examination of SARS-CoV-2 serological test results from multiple commercial and laboratory platforms with an in-house serum panel",
          "accessURL": "https://data.cdc.gov/d/hhvg-83jq",
          "license": "Public Domain U.S. Government",
          "modified": "2023-12-13"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/hmye-mqgq",
      "title": "Preliminary Estimates of Cumulative RSV Hospitalizations by Week",
      "description": "This dataset represents preliminary weekly estimates of cumulative U.S. RSV hospitalizations since the start of the 2024 respiratory season. Estimates are preliminary, and use reported weekly hospitalizations among people with a laboratory-confirmed respiratory syncytial virus (RSV) infection. The data are updated weekly as new RSV hospitalizations are reported to CDC from the RSV-NET surveillance system and include both new admissions that occurred during the reporting week, as well as those admitted in previous weeks that may not have been included in earlier reporting. Each week CDC estimates a range (i.e., a lower estimate and an upper estimate) of RSV hospitalizations that have occurred since the start of respiratory season. For details, please refer to the publications [1, 8].  \n\n<b>Note:</b> Data are preliminary and subject to change as updated data become available. Rates for recent RSV hospital admissions are subject to reporting delays; as new data are received each week, previous rates are updated accordingly.\n\n<b>Note:</b> Preliminary burden estimates are not inclusive of data from all RSV-NET sites. Due to model limitations, sites with small sample sizes can impact estimates in unpredictable ways and are excluded for the benefit of model stability. CDC is working to address model limitations and include data from all sites in final burden estimates. The methodology used for RSV burden estimation between the surveillance periods was updated to account for inclusion of additional surveillance sites, seasonal changes to adjustment factors, revised outpatient visits and death multiplier ratios, and improvements in estimation methods.   \n\n<b>References</b>\n1. Koumans EHA, Khan D, Trejo I, et al; Estimate of Burden of COVID-19 Workgroup. Estimated burden of COVID-19 illnesses, medical visits, hospitalizations, and deaths in the US from October 2022 to September 2024. JAMA Intern Med. Published online January 5, 2026. <a href=\"https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2843383#250739811\">Estimated Burden of COVID-19 Illnesses, Medical Visits, Hospitalizations, and Deaths in the US From October 2022 to September 2024 | Coronavirus (COVID-19) | JAMA Internal Medicine | JAMA Network</a><br>2. Reed C, Chaves SS, Daily Kirley P, et al. Estimating influenza disease burden from population-based surveillance data in the United States. PLoS One. 2015;10(3):e0118369. <a href=\"https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0118369\">Estimating Influenza Disease Burden from Population-Based Surveillance Data in the United States | PLOS One</a><br>3. Rolfes, MA, Foppa, IM, Garg, S, et al. Annual estimates of the burden of seasonal influenza in the United States: A tool for strengthening influenza surveillance and preparedness. Influenza Other Respi Viruses. 2018; 12: 132– 137. <a href=\"https://doi.org/10.1111/irv.12486\">https://doi.org/10.1111/irv.12486</a><br>4. Tokars JI, Rolfes MA, Foppa  IM, Reed C.  An evaluation and update of methods for estimating the number of influenza cases averted by vaccination in the United States. Vaccine. 2018;36(48):7331-7337. doi:10.1016/j.vaccine.2018.10.026 <br>5. Collier SA, Deng L, Adam EA, Benedict KM, Beshearse EM, Blackstock AJ, Bruce BB, Derado G, Edens C, Fullerton KE, Gargano JW, Geissler AL, Hall AJ, Havelaar AH, Hill VR, Hoekstra RM, Reddy SC, Scallan E, Stokes EK, Yoder JS, Beach MJ. Estimate of Burden and Direct Healthcare Cost of Infectious Waterborne Disease in the United States. Emerg Infect Dis. 2021 Jan;27(1):140-149. doi: 10.3201/eid2701.190676. PMID: 33350905; PMCID: PMC7774540. <br>6. Reed C, Kim IK, Singleton JA,  et al. Estimated influenza illnesses and hospitalizations averted by vaccination–United States, 2013-14 influenza season. MMWR Morb Mortal Wkly Rep. 2014 Dec 12;63(49):1151-4. https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6349a2.htm <br>7. Reed C, Angulo FJ, Swerdlow DL, et al. Estimates of the Prevalence of Pandemic (H1N1) 20",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-10",
      "issued": "2024-10-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "hospitalizations",
        "respiratory syncytial virus",
        "rsv"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Preliminary Estimates of Cumulative RSV Hospitalizations by Week",
          "accessURL": "https://data.cdc.gov/d/hmye-mqgq",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-10"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/hrdz-jaxc",
      "title": "COVID-19 Weekly Cases and Deaths by Age, Race/Ethnicity, and Sex - ARCHIVED",
      "description": "<b>Note:</b>\nAuthorizations to collect certain public health data expired at the end of the U.S. public health emergency declaration on May 11, 2023. The following jurisdictions discontinued COVID-19 case notifications to CDC: Iowa (11/8/21), Kansas (5/12/23), Louisiana (10/31/23), New Hampshire (5/23/23), and Oklahoma (5/2/23). Please note that these jurisdictions will not routinely send new case data after the dates indicated. As of 7/13/23, case notifications from Oregon will only include pediatric cases resulting in death.\n\n\nThis table summarizes COVID-19 case and death data submitted to CDC as case reports for the line-level dataset. Case and death counts are stratified according to sex, age, and race and ethnicity at regional and national levels. Data for US territories are included in case and death counts, but not population counts. Weekly cumulative counts with five or fewer cases or deaths are not reported to protect confidentiality of patients. Records with unknown or missing sex, age, or race and ethnicity and of multiple, non-Hispanic race and ethnicity are included in case and death totals. COVID-19 case and death data are provisional and are subject to change. Visualization of COVID-19 case and death rate trends by demographic variables may be viewed on COVID Data Tracker (<a href=\"https://covid.cdc.gov/covid-data-tracker/#demographicsovertime\">https://covid.cdc.gov/covid-data-tracker/#demographicsovertime</a>).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-11-24",
      "issued": "2022-12-19",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "county",
        "ncird-corvd",
        "laboratory",
        "covid-19",
        "case",
        "community transmission",
        "coronavirus"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "COVID-19 Weekly Cases and Deaths by Age, Race/Ethnicity, and Sex - ARCHIVED",
          "accessURL": "https://data.cdc.gov/d/hrdz-jaxc",
          "license": "Public Domain U.S. Government",
          "modified": "2023-11-24"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/hwk8-wu83",
      "title": "COVID-19 Updated Vaccines Distributed",
      "description": "This site provides historical data beginning June 14, 2023, for the visualization presented on <a href=\"https://covid.cdc.gov/covid-data-tracker/#vaccinations\">COVID-19 Data Tracker’s “Vaccinations in the United States\" </a> site titled “US COVID-19 Vaccine Doses Delivered by Vaccine Type”\n\n<b>Definition for Distributed: </b>\nCumulative number of COVID-19 updated vaccine doses distributed in the United States.\nCDC is no longer reporting metrics for Johnson & Johnson, and the original Pfizer and Moderna vaccines.\n\nData represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-ISD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-10-14",
      "issued": "2023-06-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "coronavirus",
        "covid-19",
        "vaccination",
        "administration",
        "immunization",
        "izdl",
        "report date"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "COVID-19 Updated Vaccines Distributed",
          "accessURL": "https://data.cdc.gov/d/hwk8-wu83",
          "license": "Public Domain U.S. Government",
          "modified": "2023-10-14"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/ijqb-a7ye",
      "title": "Vaccination Coverage and Exemptions among Kindergartners",
      "description": "Vaccination Coverage and Exemptions among Kindergartners\n\n• Data on school vaccination coverage and exemptions from the School Vaccination Assessment Program for kindergartners at the national and state levels.\n\n• Additional information available at https://www.cdc.gov/vaccines/imz-managers/coverage/schoolvaxview/index.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-07-31",
      "issued": "2021-05-12",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "vaccination coverage",
        "any exemption",
        "dt",
        "dtap",
        "dtp",
        "hepatitis b",
        "immunization",
        "medical exemption",
        "mmr",
        "non-medical exemption",
        "polio",
        "school exemption",
        "school vaccination",
        "vaccination",
        "varicella",
        "vaxviews"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/imz-managers/coverage/schoolvaxview/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Vaccination Coverage and Exemptions among Kindergartners",
          "accessURL": "https://data.cdc.gov/d/ijqb-a7ye",
          "modified": "2025-07-31"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/ithv-4e9m",
      "title": "Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months-17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine",
      "description": "• COVID-19 vaccination coverage and parental intent among children 6 months to 17 years is assessed through the National Immunization Survey providing weekly COVID-19 vaccination coverage estimates (https://www.cdc.gov/vaccines/imz-managers/nis/about.html).\n\n• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM). Beginning January 2, 2024, the NIS-CCM was discontinued, and questions regarding receipt of COVID-19 vaccination among children were added to the NIS-Flu (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-cim).\n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-08-28",
      "issued": "2023-11-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Child Vaccinations"
        }
      ],
      "keyword": [
        "covid-19 vaccination",
        "nis"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/imz-managers/coverage/covidvaxview/interactive/children-coverage-vaccination.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months-17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine",
          "accessURL": "https://data.cdc.gov/d/ithv-4e9m",
          "license": "Public Domain U.S. Government",
          "modified": "2024-08-28"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/ivdz-qhnr",
      "title": "Monthly Cumulative Number and Percent of Persons Children 6 Months–17 Years and Adults 18 Years and Older Who Received 1+ Influenza Vaccination Doses, by Season, Age Group, and Jurisdiction, United States",
      "description": "• Monthly Cumulative Percent of Persons Who Received ≥1 Influenza Vaccination Doses, by Influenza Season, Age Group and Jurisdiction.\n\n• Influenza (flu) vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly, in aggregate, by age group.\n\n• Monthly estimates shown are cumulative, reflecting all persons vaccinated from July 1 through a given month of that flu season.*,† Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-20",
      "issued": "2024-10-14",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Flu Vaccinations"
        }
      ],
      "keyword": [
        "iis",
        "flu vaccination",
        "iqvia",
        "vsd",
        "nis-acm"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/fluvaxview/dashboard/vaccine-administration-coverage-jurisdiction-iis.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Monthly Cumulative Number and Percent of Persons Children 6 Months–17 Years and Adults 18 Years and Older Who Received 1+ Influenza Vaccination Doses, by Season, Age Group, and Jurisdiction, United States",
          "accessURL": "https://data.cdc.gov/d/ivdz-qhnr",
          "license": "Public Domain U.S. Government",
          "modified": "2026-05-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/iwxc-qftf",
      "title": "National Immunization Survey Adult COVID Module (NIS-ACM): Vaccination Status and Intent by Demographics",
      "description": "National Immunization Survey Adult COVID Module (NIS-ACM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. These data represent trends in vaccination status and intent by demographics.\n\nFollowing collection of August 2021 survey data, an error in data processing led to incorrect categorization of some survey respondents; some respondents who should have been categorized as MSA: Principal City instead were categorized as MSA: Non-Principal City. Data downloaded during the period September 12, 2021 through September 30, 2021 may have incorrect estimates by MSA status, SVI of county of residence, and political leaning of county of residence.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-08-03",
      "issued": "2021-07-19",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "covid-19 vaccination",
        "covid tracker",
        "nis-acm"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://covid.cdc.gov/covid-data-tracker/#vaccine-confidence",
        "title": "covid.cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Immunization Survey Adult COVID Module (NIS-ACM): Vaccination Status and Intent by Demographics",
          "accessURL": "https://data.cdc.gov/d/iwxc-qftf",
          "modified": "2023-08-03"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/iyx3-z4r8",
      "title": "Outbreak Data - Restaurant Grading [supporting dataset]",
      "description": "This dataset contains foodborne outbreak data obtained from CDC's FDOSS. These data include the outbreak location and earliest date of outbreak illness onset. These data were combined with regulatory agency survey data to assess the relationship between the practice of posting graded inspection results and foodborne illness and outbreak rates.\nThis data supports the conclusions of the article \"Foodborne Outbreak Rates Associated with Restaurant Inspection Grading and Posting at the Point of Service: Evaluation Using National Foodborne Outbreak Surveillance Data.\" The article is also available in this repository.\nThe dataset contains 545 rows. The dataset contains 7 columns. Each row represents a food preparation site that caused at least on food-related illness.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Hao Tian",
          "hasEmail": "mailto:ejq7@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-10-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Cross-Sectional Studies\nDisease Outbreaks\nEnvironmental Health\nFoodborne Diseases / epidemiology\nFood Safety\nHealth Inspection\nPublic Health Surveillance\nReproducibility of Results\nRestaurants\nRisk Assessment\nSanitation"
        }
      ],
      "keyword": [
        "Foodborne illness\nFoodborne outbreak\nInspection results\nPublic disclosure",
        "Restaurant inspection\nRestaurant inspection grading"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/121792",
        "title": "Outbreak Data - Restaurant Grading [supporting dataset]"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC) (U.S.)"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Center for Environmental Health"
      },
      "isReferencedBy": [
        "https://stacks.cdc.gov/view/cdc/258497"
      ],
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/iyx3-z4r8",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/121794",
        "title": "CSV Data Dictionary"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Outbreak Data - Restaurant Grading [supporting dataset]",
          "description": "This dataset contains foodborne outbreak data obtained from CDC's FDOSS. These data include the outbreak location and earliest date of outbreak illness onset. These data were combined with regulatory agency survey data to assess the relationship between the practice of posting graded inspection results and foodborne illness and outbreak rates.\nThis data supports the conclusions of the article \"Foodborne Outbreak Rates Associated with Restaurant Inspection Grading and Posting at the Point of Service: Evaluation Using National Foodborne Outbreak Surveillance Data.\" The article is also available in this repository.\nThe dataset contains 545 rows. The dataset contains 7 columns. Each row represents a food preparation site that caused at least on food-related illness.",
          "accessURL": "https://stacks.cdc.gov/view/cdc/121792",
          "downloadURL": "https://stacks.cdc.gov/view/cdc/121792/cdc_121792_DS1.csv",
          "format": "CSV file",
          "mediaType": "text/csv",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/121794",
            "title": "CSV Data Dictionary"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/jgk8-6dpn",
      "title": "Weekly COVID-19 County Level of Community Transmission Historical Changes - ARCHIVED",
      "description": "Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will receive a final update on June 1, 2023, to reconcile historical data through May 10, 2023, and will remain publicly available.\n\nThis archived public use dataset contains historical case and percent positivity data updated weekly for all available counties and jurisdictions. Each week, the dataset was refreshed to capture any historical updates. Please note, percent positivity data may be incomplete for the most recent time period.\n\n<b>Related data </b>\nCDC provides the public with two active versions of COVID-19 county-level community transmission level data: this dataset with historical case and percent positivity data for each county from January 22, 2020 (<a href=\"https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn\">Weekly Historical Changes dataset</a>) and a dataset with the levels as originally posted (<a href=\"https://data.cdc.gov/dataset/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6\">Weekly Originally Posted dataset</a>) since October 20, 2022. <b>Please navigate to the <a href=\"https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6\">Weekly Originally Posted dataset</a> for the Community Transmission Levels published weekly on Thursdays.</b>\n\n<b>Methods for calculating county level of community transmission indicator</b>\nThe County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and <a href=\"https://www.cdc.gov/mmwr/volumes/70/wr/mm7030e2.htm?s_cid=mm7030e2_w#T1_down\">here</a>). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making.\n\n<b>CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2</b>\n<b>Total New Case Rate Metric:</b> \"New cases per 100,000 persons in the past 7 days\" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. \"New cases per 100,000 persons in the past 7 days\" is considered to have transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00).\n\n<b>Test Percent Positivity Metric:</b> \"Percentage of positive NAAT in the past 7 days\" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests resulted over the last 7 days. \"Percentage of positive NAAT in the past 7 days\" is considered to have transmission level of Low (less than 5.00); Moderate (5.00-7.99); Substantial (8.00-9.99); and High (greater than or equal to 10.00).\n\n\nThe data in this dataset are considered provisional by CDC and are subject to change until the data are reconciled and verified with the state and territorial data providers.\n\nThis dataset is created using <a href=\"https://www.cdc.gov/maso/policy/policy385.pdf\">CDC’s Policy on Public Health Research and Nonresearch Data Management and Access</a>.\n\n\n<b>Archived data </b>\nCDC has archived two prior versions of these datasets. Both versions contain the same 7 data elements reflecting community transmission levels for all available counties and jurisdictions; however, the datasets updated daily. The archived datasets can be found here: \n\n<a href=\"https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-of-Community-T",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-05-08",
      "issued": "2022-10-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "ncird-corvd",
        "laboratory",
        "covid-19",
        "county",
        "coronavirus",
        "community transmission",
        "cases"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly COVID-19 County Level of Community Transmission Historical Changes - ARCHIVED",
          "accessURL": "https://data.cdc.gov/d/jgk8-6dpn",
          "license": "Public Domain U.S. Government",
          "modified": "2024-05-08"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/jjpx-mxt8",
      "title": "Weekly Cumulative COVID-19 Vaccination Coverage, by Season and Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years",
      "description": "• COVID-19 vaccination coverage among Medicare fee-for-service beneficiaries aged 65 years and older is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS).\n\n• Weekly COVID-19 vaccination coverage estimates were calculated using Kaplan-Meier survival analysis, based on beneficiaries enrolled as of August 1 of each year. For the 2025 ̶ 26 season, COVID-19 vaccines received since August 27, 2025, were included.*",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-20",
      "issued": "2024-11-29",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "covid-19 vaccination",
        "iqvia",
        "vsd",
        "nis",
        "iis"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/covidvaxview/weekly-dashboard/adults-65yrs-older-vaccination.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative COVID-19 Vaccination Coverage, by Season and Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥65 years",
          "accessURL": "https://data.cdc.gov/d/jjpx-mxt8",
          "license": "Public Domain U.S. Government",
          "modified": "2026-05-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/jk8p-fqhn",
      "title": "COVID-19 Booster Dose Eligibility in the United States",
      "description": "<p style=\"margin:0in;vertical-align:baseline;\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>This site provides historical data related to COVID-19 booster dose eligibility presented on two CDC COVID Data Tracker sites:&nbsp;</span><a href=\"https://covid.cdc.gov/covid-data-tracker/#vaccinations\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>Vaccinations in the US</span></a><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>&nbsp;and&nbsp;</span><a href=\"https://covid.cdc.gov/covid-data-tracker/#vaccination-equity\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>Vaccination Equity</span></a><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>.&nbsp;</span><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>&nbsp;</span><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>Data are updated weekly on Thursdays.</span></p><p style=\"margin:0in;vertical-align:baseline;\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>Some COVID-19 vaccine recipients are&nbsp;</span><a href=\"https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html\" target=\"_blank\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>eligible to receive booster doses</span></a><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>,&nbsp;</span><span style=\"font-size:11px;\">&nbsp;</span><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>and criteria for booster eligibility may change over time. Data and footnotes will be updated to align with the current recommendations.&nbsp;</span><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>&nbsp;</span></p><p style=\"margin:0in;vertical-align:baseline;\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>CDC counts people as having &ldquo;received a booster dose&rdquo; if they are fully vaccinated and received another dose of any COVID-19 vaccine on or after August 13, 2021. This does not distinguish whether the recipient is&nbsp;</span><a href=\"https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html\" target=\"_blank\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>immunocompromised and received an additional dose</span></a></p><p style=\"margin:0in;vertical-align:baseline;\"><strong><em><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>Data Limitations:</span></em></strong><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:black;'>&nbsp;</span></p><ul style=\"list-style-type: undefined;margin-left:0in;\"><li><span style='font-family:\"Calibri\",sans-serif;color:black;font-size:11.0pt;color:black;'>The booster eligibility metric excludes fully vaccinated recipients who have an &ldquo;Other&rdquo; primary series vaccine type. </span><span style='font-family:\"Calibri\",sans-serif;font-size:11.0pt;color:black;'>&nbsp;</span></li><li><span style='font-family:\"Calibri\",sans-serif;color:black;font-size:11.0pt;color:black;'>Booster eligibility counts and percentages exclude vaccine administrations reported by Texas as the primary series cannot be linked to booster dose in the aggregate data submitted by Texas.</span><span style='font-family:\"Calibri\",sans-serif;font-size:11.0pt;color:black;'>&nbsp;</span></li></ul><p style=\"margin:0in;vertical-align:baseline;\"><strong><em><span style='font-size:15px;font-family:\"Calibri\",sans-serif;'>Footnotes:</span></em></strong></p><p style=\"margin:0in;vertical-align:baseline;\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;'>CDC counts people as being &ldquo;</span><a href=\"https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html\" target=\"_blank\"><span style='font-size:15px;font-family:\"Calibri\",sans-serif;color:windowtext;'>eligible to get a booster dose</span></a><",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-ISD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-05-12",
      "issued": "2022-01-25",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "covid-19",
        "coronavirus",
        "age",
        "administration",
        "izdl",
        "race",
        "sex",
        "vaccination",
        "immunization",
        "ethnicity",
        "demographics"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "COVID-19 Booster Dose Eligibility in the United States",
          "accessURL": "https://data.cdc.gov/d/jk8p-fqhn",
          "license": "Public Domain U.S. Government",
          "modified": "2023-05-12"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/jr58-6ysp",
      "title": "SARS-CoV-2 Variant Proportions",
      "description": "To identify and track SARS-CoV-2 variants, CDC uses genomic surveillance. CDC's national genomic surveillance system collects SARS-CoV-2 specimens for sequencing through the National SARS-CoV-2 Strain Surveillance (NS3) program, as well as SARS-CoV-2 sequences generated by commercial or academic laboratories contracted by CDC and state or local public health laboratories. Viral genomic sequences are analyzed and classified as a particular variant. The proportions of variants in a population are estimated nationally, by HHS region, and by jurisdiction. Sequences contributed to CDC’s national genomic sequencing and bioinformatics efforts fuel this U.S. genomic surveillance system established to identify and monitor the spread of SARS-CoV-2 variants.\n\nThese data appear on the CDC website at the following URL: <a href=\"https://www.cdc.gov/covid/php/variants/variants-and-genomic-surveillance.html\">https://www.cdc.gov/covid/php/variants/variants-and-genomic-surveillance.html</a>\n\n\nFor more information on how these data are generated and used to provide estimates of variant proportions, please see the following references:\n\n<ul>\n<li>Paul P, France AM, Aoki Y, et al. Genomic Surveillance for SARS-CoV-2 Variants Circulating in the United States, December 2020–May 2021. MMWR Morb Mortal Wkly Rep 2021;70:846–850. DOI: <a href=\"http://dx.doi.org/10.15585/mmwr.mm7023a3\">http://dx.doi.org/10.15585/mmwr.mm7023a3</a></li>\n<li>Lambrou AS, Shirk P, Steele MK, et al. Genomic Surveillance for SARS-CoV-2 Variants: Predominance of the Delta (B.1.617.2) and Omicron (B.1.1.529) Variants — United States, June 2021–January 2022. MMWR Morb Mortal Wkly Rep 2022;71:206–211. DOI: <a href=\"http://dx.doi.org/10.15585/mmwr.mm7106a4\">http://dx.doi.org/10.15585/mmwr.mm7106a4</a></li></ul>",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:RespVirus@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-31",
      "issued": "2021-05-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Laboratory Surveillance"
        }
      ],
      "keyword": [
        "sars-cov-2",
        "surveillance",
        "variant proportion",
        "variant surveillance",
        "nowcasting",
        "covid-19"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "SARS-CoV-2 Variant Proportions",
          "accessURL": "https://data.cdc.gov/d/jr58-6ysp",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-31"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/judz-8etw",
      "title": "Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months-17 Years, United States",
      "description": "• Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months-17 Years.\n\n• Weekly Influenza vaccination coverage and parental intent for vaccination among children is calculated using data from the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html). NIS–Flu is a national random-digit-dialed cellular telephone survey of households with children ages 6 months–17 years conducted during October-June. The respondent to a NIS–Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.\n\n• The NIS-Flu data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-02",
      "issued": "2024-10-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Child Vaccinations"
        }
      ],
      "keyword": [
        "flu vaccination",
        "nis-ccm",
        "nis-flu"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/fluvaxview/dashboard/children-vaccination-coverage.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months-17 Years, United States",
          "accessURL": "https://data.cdc.gov/d/judz-8etw",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-02"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/k4cb-dxd7",
      "title": "Weekly Cumulative RSV Vaccination Coverage and Intent, Overall, by Selected Demographics and Jurisdiction, Among Adults 75 and Older and 60-74 Years with High-Risk Conditions Ever Vaccinated, United States",
      "description": "• Weekly Cumulative RSV Vaccination Coverage and Intent Among Adults 75 Years and Older and 60─74 Years with High Risk Conditions Ever Vaccinated with RSV Vaccine by Demographic Characteristics and Jurisdiction\n\n• Weekly estimates of RSV vaccination coverage and intent among adults 75 years and older and 60─74 years with high risk conditions are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/index.html).\n\n• In June 2023, the Advisory Committee on Immunization Practices (ACIP) voted to recommend that adults aged ≥60 years may receive a single dose of an RSV vaccine, using shared clinical decision-making. In June 2024, the ACIP voted to recommend a single dose of RSV vaccine for all adults 75 years and older and adults 60–74 years who are at increased risk for severe RSV disease. The data below captures ever receiving a dose of an RSV vaccine by adults 60 years and older.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-05-20",
      "issued": "2024-09-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "rsv vaccination",
        "nis-flu",
        "vsd",
        "nis-acm",
        "iqvia",
        "iis"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/rsvvaxview/",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative RSV Vaccination Coverage and Intent, Overall, by Selected Demographics and Jurisdiction, Among Adults 75 and Older and 60-74 Years with High-Risk Conditions Ever Vaccinated, United States",
          "accessURL": "https://data.cdc.gov/d/k4cb-dxd7",
          "license": "Public Domain U.S. Government",
          "modified": "2025-05-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/k87d-gv3u",
      "title": "Weekly Cumulative Doses (in Millions) of Influenza Vaccine Distributed by Flu Season in the United States",
      "description": "Weekly Cumulative Doses (in Millions) of Influenza Vaccine Distributed by Flu Season in the United States\n\n•  Archived data are available here:  https://data.cdc.gov/resource/e5zk-7tx5\n•  Flu vaccine is produced by private manufacturers, so supply depends on manufacturers. Vaccine manufacturers have projected that they will supply the United States with as many as 173.5 million to 183.5 million doses of influenza vaccines for the 2022-2023 season.\n•  Additional information is available: https://www.cdc.gov/flu/prevent/vaccine-supply-distribution.htm.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-08-03",
      "issued": "2021-01-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "flu",
        "flu vaccination",
        "influenza"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-dashboard.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Doses (in Millions) of Influenza Vaccine Distributed by Flu Season in the United States",
          "accessURL": "https://data.cdc.gov/d/k87d-gv3u",
          "license": "Public Domain U.S. Government",
          "modified": "2026-08-03"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/ker6-gs6z",
      "title": "Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months -17 Years Who are Up to date with the COVID-19 Vaccines by Season, United States",
      "description": "• Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months-17 Years Who are Up to date with the COVID-19 Vaccines by Season. \n\n• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM). (https://www.cdc.gov/nis/about/index.html). The NIS-CCM was discontinued at the end of 2023 and questions regarding COVID-19 vaccination status and intent were added to the National Immunization Survey-Flu (NIS-Flu) (https://www.cdc.gov/nis/about/index.html). \n\n• NIS-CCM and NIS-Flu are national random-digit dial cellular telephone surveys of households with children ages 6 months through 17 years; NIS-Flu is conducted during October-June. The respondent to a NIS-Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.\n\n• Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 and 2025–26 COVID-19 vaccines were first available at the end of August 2024 and 2025, respectively. \n\n• The NIS-Flu data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-02",
      "issued": "2024-10-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Child Vaccinations"
        }
      ],
      "keyword": [
        "covid-19 vaccination",
        "nis-ccm"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/covidvaxview/weekly-dashboard/child-coverage-vaccination.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Parental Intent for Vaccination and Cumulative Percentage of Children 6 Months -17 Years Who are Up to date with the COVID-19 Vaccines by Season, United States",
          "accessURL": "https://data.cdc.gov/d/ker6-gs6z",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-02"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/kipu-qxy8",
      "title": "Percent Positivity of Viral Detections Among Enrolled Children in the New Vaccine Surveillance Network (NVSN), Acute Respiratory Illnesses (ARI), 2017–Present",
      "description": "Percent positivity of 9 viral pathogens, by season and age group, 2017–Present.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-29",
      "issued": "2023-12-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "viral detections",
        "adenovirus",
        "covid-19",
        "enterovirus",
        "evd-68",
        "human coronaviruses",
        "human metapneumovirus",
        "influenza",
        "medically attended illness",
        "ncird-corvd",
        "parainfluenza virus",
        "pediatric",
        "respiratory illness",
        "rhinovirus",
        "rsv"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/surveillance/nvsn/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Percent Positivity of Viral Detections Among Enrolled Children in the New Vaccine Surveillance Network (NVSN), Acute Respiratory Illnesses (ARI), 2017–Present",
          "accessURL": "https://data.cdc.gov/d/kipu-qxy8",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-29"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/km4m-vcsb",
      "title": "COVID-19 Vaccination Demographics in the United States,National",
      "description": "Overall Demographic Characteristics of People Receiving COVID-19 Vaccinations in the United States at national level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-05-12",
      "issued": "2021-05-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "immunization",
        "administration",
        "age",
        "coronavirus",
        "vaccination",
        "covid-19",
        "demographics",
        "izdl",
        "race",
        "sex",
        "ethnicity"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "COVID-19 Vaccination Demographics in the United States,National",
          "accessURL": "https://data.cdc.gov/d/km4m-vcsb",
          "license": "Public Domain U.S. Government",
          "modified": "2023-05-12"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/kmap-fsfn",
      "title": "Cumulative Influenza Vaccination Coverage, Adults 18 years and older, by Age Group and Race/Ethnicity, United States",
      "description": "Cumulative Influenza Vaccination Coverage, Adults 18 years and older, by Age Group and Race/Ethnicity, United States, 2020-21, IPSOS Knowledge Panel Omnibus and NORC AmeriSpeak Omnibus Surveys",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-04-01",
      "issued": "2021-01-28",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "ethnicity",
        "age group",
        "adults",
        "flu",
        "vaccination",
        "race",
        "flu vaccination"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-dashboard.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Cumulative Influenza Vaccination Coverage, Adults 18 years and older, by Age Group and Race/Ethnicity, United States",
          "accessURL": "https://data.cdc.gov/d/kmap-fsfn",
          "license": "Public Domain U.S. Government",
          "modified": "2022-04-01"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/kmxt-xb3i",
      "title": "Total COVID-19 Deaths since January 1, 2020 by Age Group, Race/Ethnicity, and Sex",
      "description": "Count and percent of total COVID-19 deaths since January 1, 2020, by age group, race/ethnicity, and sex",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:COVIDsurveillance@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-20",
      "issued": "2023-08-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "demographics",
        "deaths",
        "coronavirus",
        "ncird-corvd",
        "mortality",
        "covid-19"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Total COVID-19 Deaths since January 1, 2020 by Age Group, Race/Ethnicity, and Sex",
          "accessURL": "https://data.cdc.gov/d/kmxt-xb3i",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/ksfb-ug5d",
      "title": "COVID-19 Vaccination Coverage, Overall and by Selected Demographics and Jurisdiction, Among Adults 18 Years and Older, by Season",
      "description": "• Weekly COVID-19 Vaccination Coverage and intent among adults 18 Years and Older by Demographic Characteristics and Jurisdiction, by Season\n\n• Weekly estimates of COVID-19 vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Surveys (NIS)-Fall Respiratory Virus Module (NIS-FRVM) (https://www.cdc.gov/nis/about/index.html). The NIS–FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. All estimates are based upon self-reported receipt of vaccination and month of that vaccination.\n\n• Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 and 2025–26 COVID-19 vaccines were first available at the end of August 2024 and 2025, respectively.\n\n • The NIS-FRVM data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-03-04",
      "issued": "2024-09-20",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "nis-flu",
        "vsd",
        "nis-child",
        "nis-acm",
        "iqvia",
        "iis-child",
        "iis-adult",
        "covid-19 vaccination",
        "cms"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/covidvaxview/weekly-dashboard/adult-vaccination-coverage.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "COVID-19 Vaccination Coverage, Overall and by Selected Demographics and Jurisdiction, Among Adults 18 Years and Older, by Season",
          "accessURL": "https://data.cdc.gov/d/ksfb-ug5d",
          "license": "Public Domain U.S. Government",
          "modified": "2026-03-04"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/ku7p-zn4c",
      "title": "Monthly Cumulative Number and Percent of Children <20 Months Who Received Nirsevimab by Age Group and Jurisdiction, United States",
      "description": "Monthly Cumulative Number and Percent of Children <20 Months Who Received Nirsevimab by Age Group and Jurisdiction\n\n• Estimated nirsevimab coverage for children 0-19 months is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group.\n\n• Starting in July 2023, the CDC recommended the RSV vaccine to protect against serious illness from RSV. (https://www.cdc.gov/respiratory-viruses/whats-new/rsv-update-2023-09-22.html)",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-08-05",
      "issued": "2024-01-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "immunization information system",
        "rsv vaccination",
        "iis"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/vaxview/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Monthly Cumulative Number and Percent of Children <20 Months Who Received Nirsevimab by Age Group and Jurisdiction, United States",
          "accessURL": "https://data.cdc.gov/d/ku7p-zn4c",
          "license": "Public Domain U.S. Government",
          "modified": "2024-08-05"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/kvib-3txy",
      "title": "RESP-NET Rates and Clinical Data",
      "description": "This dataset includes hospitalization rates and selected clinical characteristics from RESP-NET for laboratory-confirmed RSV, COVID-19, and influenza-associated hospitalizations. The data can be used to examine hospitalization burden, patient characteristics, clinical outcomes, and trends over time across RESP-NET surveillance sites.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:resp-net@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)/Coronavirus and Other Respiratory Viruses Division (CORVD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-31",
      "issued": "2022-12-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "covid-19",
        "covid",
        "respnet",
        "resp-net",
        "rate",
        "influenza",
        "hospitalizations",
        "hospitalization rate",
        "hospitalization",
        "flusurv-net",
        "flusurvnet",
        "flu-net",
        "respiratory illness",
        "flunet",
        "flu",
        "covid-net",
        "covidnet",
        "covid19",
        "rsv",
        "surveillance",
        "respiratory syncytial virus",
        "respiratory virus response",
        "rates by race and ethnicity",
        "rates by age group"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/resp-net/dashboard/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "RESP-NET Rates and Clinical Data",
          "accessURL": "https://data.cdc.gov/d/kvib-3txy",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-31"
        },
        {
          "@type": "Distribution",
          "title": "FluSurv-NET Rates and Clinical Data",
          "accessURL": "https://data.cdc.gov/d/kvib-3txy"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/mcvh-596h",
      "title": "Weekly Differences in Cumulative RSV Vaccination Coverage Among Adults 75 and Older and 60-74 Years with High-Risk Conditions Ever Vaccinated with RSV Vaccine, Overall, by Selected Demographics",
      "description": ". Weekly Cumulative RSV Vaccination Coverage and Intent Among Adults 75 Years and Older and 60?74 Years with High Risk Conditions Ever Vaccinated with RSV Vaccine by Demographic Characteristics and Jurisdiction\n. Weekly estimates of RSV vaccination coverage and intent among adults 75 years and older and 60?74 years with high risk conditions are calculated using data from the National Immunization Survey-Adult COVID Module (NIS-ACM) (https://www.cdc.gov/nis/about/)\n. In June 2023, the Advisory Committee on Immunization Practices (ACIP) voted to recommend that adults aged ?60 years may receive a single dose of an RSV vaccine, using shared clinical decision-making. In June 2024, the ACIP voted to recommend a single dose of RSV vaccine for all adults 75 years and older and adults 60-74 years who are at increased risk for severe RSV disease. The data below captures ever receiving a dose of an RSV vaccine by adults 60 years and older.?",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-12-10",
      "issued": "2025-11-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "rsv vaccination",
        "nis-flu",
        "nis-acm",
        "iqvia",
        "iis",
        "vsd"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/rsvvaxview/",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Differences in Cumulative RSV Vaccination Coverage Among Adults 75 and Older and 60-74 Years with High-Risk Conditions Ever Vaccinated with RSV Vaccine, Overall, by Selected Demographics",
          "accessURL": "https://data.cdc.gov/d/mcvh-596h",
          "license": "Public Domain U.S. Government",
          "modified": "2025-12-10"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/mr8w-325u",
      "title": "Deaths in 122 U.S. cities - 1962-2016. 122 Cities Mortality Reporting System",
      "description": "This file contains the complete set of data reported to 122 Cities Mortality Reposting System.  The system was retired as of 10/6/2016.  While the system was running each week, the vital statistics offices of 122 cities across the United States reported the total number of death certificates processed and the number of those for which pneumonia or influenza was listed as the underlying or contributing cause of death by age group (Under 28 days, 28 days - 1 year, 1-14 years, 15-24 years, 25-44 years, 45-64 years, 65-74 years, 75-84 years, and - 85 years).  U:Unavailable. - : No reported cases.* Mortality data in this table were voluntarily reported from 122 cities in the United States, most of which have populations of >100,000. A death is reported by the place of its occurrence and by the week that the death certificate was filed. Fetal deaths are not included.  Total includes unknown ages.\nMore information on Flu Activity & Surveillance is available at http://www.cdc.gov/flu/weekly/fluactivitysurv.htm.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC Info",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2016-10-06",
      "issued": "2016-10-06",
      "keyword": [
        "mortality",
        "122 cities",
        "mmwr table iii"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Deaths in 122 U.S. cities - 1962-2016. 122 Cities Mortality Reporting System",
          "accessURL": "https://data.cdc.gov/d/mr8w-325u",
          "modified": "2016-10-06"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/msnx-y6hi",
      "title": "Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥75 years and Enrolled in a Part D plan, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse",
      "description": "• RSV vaccination coverage among Medicare fee-for-service beneficiaries aged 75 years and older enrolled in a Part D plan is assessed using data files from the Medicare Fee-For-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS).\n\n• Weekly RSV vaccination coverage estimates were calculated using Kaplan-Meier survival analysis, based on beneficiaries enrolled as of August 1, 2023. RSV vaccines received since August 1, 2023, among adults who were 75 years or older as of the end of the first year of the season (e.g., December 31, 2025, for the 2025–26 season), were included.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-20",
      "issued": "2025-11-12",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "iis",
        "vsd",
        "rsv vaccination",
        "nis",
        "iqvia"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/rsvvaxview/dashboard/adults-65-older-coverage.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥75 years and Enrolled in a Part D plan, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse",
          "accessURL": "https://data.cdc.gov/d/msnx-y6hi",
          "license": "Public Domain U.S. Government",
          "modified": "2026-05-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/mtc3-kq6r",
      "title": "2020-2021 Nationwide Blood Donor Seroprevalence Survey Infection-Induced Seroprevalence Estimates",
      "description": "CDC is collaborating with the National Institutes of Health (NIH), the Food and Drug Administration (FDA), Vitalant Research Institute (VRI), Westat Inc., and numerous blood collection organizations across the United States to conduct a nationwide COVID-19 seroprevalence survey of blood donors. This is the largest nationwide COVID-19 seroprevalence survey to date. De-identified blood samples are tested for antibodies to SARS-CoV-2 to better understand the percentage of people in the United States who have antibodies against SARS-CoV-2 (the virus that causes COVID-19) and to track how this percentage changes over time. Both SARS-CoV-2 infection and COVID-19 vaccines currently used in the United States result in production of anti-spike (anti-S) antibodies but only infection results in production of anti-nucleocapsid (anti-N) antibodies. Infection-induced seroprevalence estimates the proportion of the population with evidence of previous SARS-CoV-2 infection and refers to the prevalence of the population with both anti-S and anti-N antibodies.\n\nThis link connects to a webpage that displays the data from the Nationwide Blood Donor Seroprevalence Survey. It offers an interactive visualization available at https://covid.cdc.gov/covid-data-tracker/#nationwide-blood-donor-seroprevalence\n\nAdditional information is available at: https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/blood-bank-serosurvey.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-02-18",
      "issued": "2021-09-27",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Laboratory Surveillance"
        }
      ],
      "keyword": [
        "covid",
        "covid19",
        "covid-19",
        "laboratory",
        "coronavirus",
        "ncird-corvd",
        "prevalence",
        "sars-cov",
        "seroprevalence",
        "serosurveys"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2020-2021 Nationwide Blood Donor Seroprevalence Survey Infection-Induced Seroprevalence Estimates",
          "accessURL": "https://data.cdc.gov/d/mtc3-kq6r",
          "license": "Public Domain U.S. Government",
          "modified": "2022-02-18"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/muep-c3qd",
      "title": "Household Pulse Survey (HPS): COVID-19 Vaccination among People with Disabilities",
      "description": "Household Pulse Survey (HPS): HPS is a rapid-response survey of adults ages ≥18 years led by the U.S. Census Bureau, in partnership with seven other federal statistical agencies, to measure household experiences during the COVID-19 pandemic. Detailed information on probability sampling using the U.S. Census Bureau’s Master Address File, questionnaires, response rates, and bias assessment is available on the Census Bureau website (https://www.census.gov/data/experimental-data-products/household-pulse-survey.html).\n\nData from adults age ≥18 years are collected by 20-minute online survey from randomly sampled households stratified by state and the top 15 metropolitan statistical areas (MSAs). Data are weighted to represent total persons age 18 and older living within households and to mitigate possible bias that can result from non-responses and incomplete survey frame. Data from adults age ≥18 years are collected by 20-minute online survey from randomly sampled households stratified by state and the top 15 metropolitan statistical areas (MSAs). For more information on this survey, see https://www.census.gov/programs-surveys/household-pulse-survey.html.\n\nData are weighted to represent total persons age 18 and older living within households and to mitigate possible bias that can result from non-responses and incomplete survey frame. Responses in the Household Pulse Survey (https://www.census.gov/programs-surveys/household-pulse-survey.html) are self-reported. Estimates of vaccination coverage may differ from vaccine administration data reported at COVID-19 Vaccinations in the United States (https://covid.cdc.gov/covid-data-tracker/#vaccinations).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-12-20",
      "issued": "2021-07-21",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "hps",
        "covid tracker",
        "covid-19 vaccination",
        "disability"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Household Pulse Survey (HPS): COVID-19 Vaccination among People with Disabilities",
          "accessURL": "https://data.cdc.gov/d/muep-c3qd",
          "modified": "2022-12-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/n2zz-25mk",
      "title": "Monthly Cumulative Number and Percent of Adults 75 Years and Older Who Received 1+ RSV Vaccination Doses by Jurisdiction, United States",
      "description": "• Monthly Cumulative Percent of Adults 75 Years and Older Who Received 1+ RSV Vaccination Doses by Jurisdiction, United States.\n• Respiratory Syncytial Virus (RSV) vaccination coverage for adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group (https://www.cdc.gov/iis/about/).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-05-16",
      "issued": "2024-11-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "iqvia",
        "rsv vaccination",
        "nis-acm",
        "vsd",
        "iis"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/data-reporting/",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Monthly Cumulative Number and Percent of Adults 75 Years and Older Who Received 1+ RSV Vaccination Doses by Jurisdiction, United States",
          "accessURL": "https://data.cdc.gov/d/n2zz-25mk",
          "license": "Public Domain U.S. Government",
          "modified": "2025-05-16"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/n5qs-vw3x",
      "title": "Weekly United States COVID-19 Cases and Deaths among Dialysis Patients - ARCHIVED",
      "description": "Mandated reporting of Weekly Aggregate Case and Death Count data among dialysis patients and dialysis facility staff (healthcare personnel or HCP) in the United States was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will contain weekly aggregate data from January 1, 2021, through May 10, 2023, and will remain publicly available.\n\nThis archived public use dataset contains reported COVID-19 case and death data per week for all states and territories, along with weekly totals for the entire United States, throughout the given timeframe.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-10-03",
      "issued": "2023-09-21",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Case Surveillance"
        }
      ],
      "keyword": [
        "covid",
        "hemodialysis",
        "ncird-corvd",
        "coronavirus",
        "dialysis",
        "covid-19",
        "covid cases",
        "covid deaths",
        "sars-cov-2"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly United States COVID-19 Cases and Deaths among Dialysis Patients - ARCHIVED",
          "accessURL": "https://data.cdc.gov/d/n5qs-vw3x",
          "license": "Public Domain U.S. Government",
          "modified": "2023-10-03"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/n8mc-b4w4",
      "title": "COVID-19 Case Surveillance Public Use Data with Geography",
      "description": "<b>Note:</b>\nReporting of new COVID-19 Case Surveillance data will be discontinued July 1, 2024, to align with the process of removing SARS-CoV-2 infections (COVID-19 cases) from the list of nationally notifiable diseases. Although these data will continue to be publicly available, the dataset will no longer be updated.\n\nAuthorizations to collect certain public health data expired at the end of the U.S. public health emergency declaration on May 11, 2023. The following jurisdictions discontinued COVID-19 case notifications to CDC: Iowa (11/8/21), Kansas (5/12/23), Kentucky (1/1/24), Louisiana (10/31/23), New Hampshire (5/23/23), and Oklahoma (5/2/23). Please note that these jurisdictions will not routinely send new case data after the dates indicated. As of 7/13/23, case notifications from Oregon will only include pediatric cases resulting in death.\n\n\nThis case surveillance public use dataset has 19 elements for all COVID-19 cases shared with CDC and includes demographics, geography (county and state of residence), any exposure history, disease severity indicators and outcomes, and presence of any underlying medical conditions and risk behaviors.\n\nCurrently, CDC provides the public with three versions of COVID-19 case surveillance line-listed data: this <a href=\"https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data-with-Ge/n8mc-b4w4\">19 data element dataset with geography</a>, a <a href=\"https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf\">12 data element public use dataset</a>, and a <a href=\"https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Restricted-Access-Detai/mbd7-r32t\">33 data element restricted access dataset</a>.\n\nThe following apply to the public use datasets and the restricted access dataset:\n<ul><li>Data elements can be found on the COVID-19 case report form located at www.cdc.gov/coronavirus/2019-ncov/downloads/pui-form.pdf.</li><li>Data are considered provisional by CDC and are subject to change until the data are reconciled and verified with the state and territorial data providers.</li><li>Some data are suppressed to protect individual privacy.</li><li>Datasets will include all cases with the earliest date available in each record (date received by CDC or date related to illness/specimen collection) at least 14 days prior to the creation of the current datasets. This 14-day lag allows case reporting to be stabilized and ensure that time-dependent outcome data are accurately captured.</li><li>Datasets are updated monthly.</li><li>Datasets are created using CDC’s <a href=\"https://www.cdc.gov/grants/additional-requirements/ar-25.html\">Policy on Public Health Research and Nonresearch Data Management and Access</a> and include protections designed to protect individual privacy.</li><li>For more information about data collection and reporting, please see <a href=\"https://www.cdc.gov/coronavirus/2019-ncov/covid-data/about-us-cases-deaths.html\">https://www.cdc.gov/coronavirus/2019-ncov/covid-data/about-us-cases-deaths.html.</a></li><li>For more information about the COVID-19 case surveillance data, please see <a href=\"https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html\"> https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html</a><br></li></ul>\n\n<b>Overview</b>\n\nThe COVID-19 case surveillance database includes individual-level data reported to U.S. states and autonomous reporting entities, including New York City and the District of Columbia (D.C.), as well as U.S. territories and affiliates. On April 5, 2020, COVID-19 was added to the <a href=\"https://ndc.services.cdc.gov/search-results-year/\">Nationally Notifiable Condition List</a> and classified as “immediately notifiable, urgent (within 24 hours)” by a Council of State and Territorial Epidemiologists (CSTE) Interim Position Statement (<a href=\"https://cdn.ymaws.com/www.cste.org/resource/resmgr/ps/positionstatement2020/Interim-20-ID-01_COVID",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-07-09",
      "issued": "2021-02-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Case Surveillance"
        }
      ],
      "keyword": [
        "ncird-corvd",
        "surveillance",
        "microdata",
        "covid-19",
        "covid19",
        "county",
        "coronavirus",
        "cases",
        "state"
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://data.cdc.gov/api/views/n8mc-b4w4/files/f24e6a39-6419-4958-81d2-a22da947f8fc?download=true&filename=data_dictionary_covid_cases_public_geo.xlsx",
        "title": "data.cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "COVID-19 Case Surveillance Public Use Data with Geography",
          "accessURL": "https://data.cdc.gov/d/n8mc-b4w4",
          "license": "Public Domain U.S. Government",
          "modified": "2024-07-09"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/n97r-u9uh",
      "title": "Weekly Cumulative Percentage of Children 6 Months -17 Years Who Are Up to date with COVID-19 Vaccines and Comparison Between 2025-26 and Previous Seasons by Jurisdiction",
      "description": "• Weekly Cumulative Percentage of Children 6 Months–17 Years Who Are Up to Date with COVID-19 Vaccines and Comparison Between 2025–26 and Previous Seasons, by Jurisdiction.\n\n• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/nis/about/index.html). The NIS-CCM was discontinued at the end of 2023 and questions regarding COVID-19 vaccination status and intent were added to the National Immunization Survey-Flu (NIS-Flu) (https://www.cdc.gov/nis/about/index.html).  \n\n• NIS-CCM and NIS-Flu are national random-digit dial cellular telephone surveys of households with children ages 6 months through 17 years; NIS-Flu is conducted during October-June. The respondent to a NIS-Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.\n\n• Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 and 2025–26 COVID-19 vaccines were first available at the end of August 2024 and 2025, respectively. \n\n• The NIS-Flu data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-02",
      "issued": "2024-10-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Child Vaccinations"
        }
      ],
      "keyword": [
        "covid-19 vaccination",
        "nis-ccm"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/covidvaxview/weekly-dashboard/child-coverage-vaccination.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Percentage of Children 6 Months -17 Years Who Are Up to date with COVID-19 Vaccines and Comparison Between 2025-26 and Previous Seasons by Jurisdiction",
          "accessURL": "https://data.cdc.gov/d/n97r-u9uh",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-02"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/ndai-i7s4",
      "title": "Weekly Differences in Cumulative RSV Vaccination Coverage Among Adults 75 and Older and 60–74 Years with High-Risk Conditions Ever Vaccinated with RSV Vaccine, Overall, by Selected Demographics",
      "description": "• Weekly Cumulative RSV Vaccination Coverage and Intent Among Adults 75 Years and Older and 60─74 Years with High Risk Conditions Ever Vaccinated with RSV Vaccine by Demographic Characteristics and Jurisdiction\n• Weekly estimates of RSV vaccination coverage and intent among adults 75 years and older and 60─74 years with high risk conditions are calculated using data from the National Immunization Survey–Adult COVID Module (NIS–ACM) (https://www.cdc.gov/nis/about/)\n• In June 2023, the Advisory Committee on Immunization Practices (ACIP) voted to recommend that adults aged ≥60 years may receive a single dose of an RSV vaccine, using shared clinical decision-making. In June 2024, the ACIP voted to recommend a single dose of RSV vaccine for all adults 75 years and older and adults 60–74 years who are at increased risk for severe RSV disease. The data below captures ever receiving a dose of an RSV vaccine by adults 60 years and older.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-05-16",
      "issued": "2024-09-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "rsv vaccination",
        "nis-flu",
        "vsd",
        "nis-acm",
        "iqvia",
        "iis"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/rsvvaxview/",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Differences in Cumulative RSV Vaccination Coverage Among Adults 75 and Older and 60–74 Years with High-Risk Conditions Ever Vaccinated with RSV Vaccine, Overall, by Selected Demographics",
          "accessURL": "https://data.cdc.gov/d/ndai-i7s4",
          "license": "Public Domain U.S. Government",
          "modified": "2025-05-16"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/njmz-dpbc",
      "title": "Trends in COVID-19 Cases and Deaths in the United States, by County-level Population Factors - ARCHIVED",
      "description": "Reporting of Aggregate Case and Death Count data was discontinued on May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.\n\nThe surveillance case definition for COVID-19, a nationally notifiable disease, was first described in a <a href=\"https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-2021/\">position statement</a> from the Council for State and Territorial Epidemiologists, which was later <a href=\"https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-covid-19/\">revised</a>. However, there is some variation in how jurisdictions implemented these case definitions. More information on how CDC collects COVID-19 case surveillance data can be found at <a href=\"https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html\">FAQ: COVID-19 Data and Surveillance</a>.\n\n<b>Aggregate Data Collection Process</b>\nSince the beginning of the COVID-19 pandemic, data were reported from state and local health departments through a robust process with the following steps:\n<ul><li>Aggregate county-level counts were obtained indirectly, via automated overnight web collection, or directly, via a data submission process.</li><li>If more than one official county data source existed, CDC used a comprehensive data selection process comparing each official county data source to retrieve the highest case and death counts, unless otherwise specified by the state.</li><li>A CDC data team reviewed counts for congruency prior to integration and set up alerts to monitor for discrepancies in the data.</li><li>CDC routinely compiled these data and post the finalized information on COVID Data Tracker.</li><li>County level data were aggregated to obtain state- and territory- specific totals.</li><li>Counting of cases and deaths is based on date of report and not on the date of symptom onset. CDC calculates rates in these data by using population estimates provided by the US Census Bureau Population Estimates Program (2019 Vintage).</li><li>COVID-19 aggregate case and death data are organized in a time series that includes cumulative number of cases and deaths as reported by a jurisdiction on a given date.  New case and death counts are calculated as the week-to-week change in cumulative counts of cases and deaths reported (i.e., newly reported cases and deaths = cumulative number of cases/deaths reported this week minus the cumulative total reported the prior week.</li></ul>\n\nThis process was collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provided the most up-to-date numbers on cases and deaths by report date. Throughout data collection, CDC retrospectively updated counts to correct known data quality issues.\n\n<b>Description</b>\nThis archived public use dataset focuses on the cumulative and weekly case and death rates per 100,000 persons within various sociodemographic factors across all states and their counties. All resulting data are expressed as rates calculated as the number of cases or deaths per 100,000 persons in counties meeting various classification criteria using <a href=\"https://www.census.gov/data/datasets/time-series/demo/popest/2010s-counties-total.html\">the US Census Bureau Population Estimates Program</a> (2019 Vintage).\n\nEach county within jurisdictions is classified into multiple categories for each factor. All rates in this dataset are based on classification of counties by the characteristics of their population, not individual-level factors.  This applies to each of the available factors observed in this dataset. Specific factors and their corresponding categories are detailed below.\n\n<b>Population-level factors</b>\nEach unique population factor is detailed below. Please note that the “Classification” column describes each of the 12 factors in the dataset, including a data dict",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-06-08",
      "issued": "2023-06-06",
      "keyword": [
        "covid-19",
        "covid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Trends in COVID-19 Cases and Deaths in the United States, by County-level Population Factors - ARCHIVED",
          "accessURL": "https://data.cdc.gov/d/njmz-dpbc",
          "modified": "2023-06-08"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/nkr7-scx6",
      "title": "Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Pregnant Women 18-49 years",
      "description": "Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Pregnant Women 18-49 years\n\n• These monthly flu vaccination coverage estimates for pregnant women are based on electronic health record (EHR) data from the Vaccine Safety Datalink (VSD), a collaboration between CDC’s Immunization Safety Office and nine integrated health care organizations.§ This system has been used annually to estimate vaccination coverage among pregnant women. COVID-19 vaccination coverage for pregnant women is available here.\n\n• Figure 3A. Monthly Cumulative Influenza Vaccination Coverage*, by Flu Season and Race/Ethnicity, Pregnant Women 18-49 years, United States, Data Source: Vaccine Safety Datalink\n\n• Figure 3B. Cumulative Influenza Vaccination Coverage*, by Month, Flu Season, and Race/Ethnicity, Pregnant Women 18-49 years, United States, Data Source: Vaccine Safety Datalink\n\n• For any month’s coverage estimate, the denominator is the number of women with a pregnancy during the current flu season (defined as August through March) beginning before or during the specified month. The numerator is the subset of the denominator who have received flu vaccination prior to, during, or after pregnancy. The denominator increases as more women are identified as pregnant or having been pregnant during the flu season. Cumulative vaccination coverage for one month may be lower than cumulative coverage for a previous month due to addition to the denominator of women who are less likely to have received vaccination.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-ISD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-01-31",
      "issued": "2025-01-31",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "nis",
        "flu",
        "influenza",
        "vaccine coverage",
        "children",
        "nis-flu"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-dashboard.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Pregnant Women 18-49 years",
          "accessURL": "https://data.cdc.gov/d/nkr7-scx6",
          "license": "Public Domain U.S. Government",
          "modified": "2025-01-31"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/nqu5-vn7d",
      "title": "Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥75 years and Enrolled in a Part D plan, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse",
      "description": "• Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged 75 years\n\n• RSV vaccination coverage among Medicare-Fee-for-service beneficiaries aged 75 years and older and enrolled in a Part D plan in assessed using data files from the Medicare Fee-for-Service (FFS) administrative claims data managed by the Centers for Medicare & Medicaid Services (CMS).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-05-16",
      "issued": "2024-11-29",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "rsv vaccination",
        "nis",
        "vsd",
        "iqvia",
        "iis"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/data-reporting/",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative RSV Vaccination Coverage, by Race and Ethnicity, Medicare Fee-For-Service Beneficiaries aged ≥75 years and Enrolled in a Part D plan, United States, Data Source: Centers for Medicare & Medicaid Services Chronic Conditions Warehouse",
          "accessURL": "https://data.cdc.gov/d/nqu5-vn7d",
          "license": "Public Domain U.S. Government",
          "modified": "2025-05-16"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/nra9-vzzn",
      "title": "United States COVID-19 County Level of Community Transmission Historical Changes - ARCHIVED",
      "description": "On October 20, 2022, CDC began retrieving aggregate case and death data from jurisdictional and state partners weekly instead of daily. This dataset contains archived historical community transmission and related data elements by county. Although these data will continue to be publicly available, this dataset has not been updated since October 20, 2022. An archived dataset containing weekly historical community transmission data by county can also be found here: <a href=\"https://data.cdc.gov/Public-Health-Surveillance/Weekly-COVID-19-County-Level-of-Community-Transmis/jgk8-6dpn\">Weekly COVID-19 County Level of Community Transmission Historical Changes | Data | Centers for Disease Control and Prevention (cdc.gov)</a>.\n\n<b>Related data</b>\nCDC has been providing the public with two versions of COVID-19 county-level community transmission level data: this historical dataset with the daily county-level transmission data from January 22, 2020, and a dataset with the daily values as originally posted on the COVID Data Tracker. Similar to this dataset, the <a href=\"https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-County-Level-of-Community-T/nra9-vzzn\">original dataset</a> with daily data as posted is archived on 10/20/2022. It will continue to be publicly available but will no longer be updated. A new dataset containing community transmission data by county as originally posted is now published weekly and can be found at: <a href=\"https://data.cdc.gov/dataset/Weekly-COVID-19-County-Level-of-Community-Transmis/dt66-w6m6\">Weekly COVID-19 County Level of Community Transmission as Originally Posted | Data | Centers for Disease Control and Prevention (cdc.gov)</a>.\n\nThis public use dataset has 7 data elements reflecting historical data for community transmission levels for all available counties and jurisdictions. It contains historical data for the county level of community transmission and includes updated data submitted by states and jurisdictions. Each day, the dataset was updated to include the most recent days’ data and incorporate any historical changes made by jurisdictions. This dataset includes data since January 22, 2020. Transmission level is set to low, moderate, substantial, or high using the calculation rules below.\n\n<b>Methods for calculating county level of community transmission indicator</b>\nThe County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and <a href=\"https://www.cdc.gov/mmwr/volumes/70/wr/mm7030e2.htm?s_cid=mm7030e2_w#T1_down\">here</a>). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making.\n\n<b>CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2</b>\n\n<b>Total New Case Rate Metric:</b> \"New cases per 100,000 persons in the past 7 days\" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. \"New cases per 100,000 persons in the past 7 days\" is considered to have transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00).\n\n<b>Test Percent Positivity Metric:</b> \"Percentage of positive NAAT in the past 7 days\" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests resulted over the last 7 days. \"Percentage of positive NAAT in the past 7 days\" is considered to have transmission level of Low (less than 5.00); Moderate (5.00-7.99); Substa",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-10-21",
      "issued": "2021-08-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "coronavirus",
        "cases",
        "community transmission",
        "county",
        "covid-19",
        "laboratory",
        "ncird-corvd"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "United States COVID-19 County Level of Community Transmission Historical Changes - ARCHIVED",
          "accessURL": "https://data.cdc.gov/d/nra9-vzzn",
          "license": "Public Domain U.S. Government",
          "modified": "2022-10-21"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/nsxk-tvbw",
      "title": "Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months - 17 Years, 2023-24, United States",
      "description": "• Influenza vaccination coverage and parental intent among children 6 months to 17 years is assessed through the National Immunization Survey-Child COVID Module providing weekly COVID-19 vaccination coverage estimates. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)\n\n• For the 2023-2024 flu season, the CDC recommends a flu shot for most people 6 months and older.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-04-12",
      "issued": "2023-11-20",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Child Vaccinations"
        }
      ],
      "keyword": [
        "nis-ccm",
        "flu vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-coverage-race.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Influenza Vaccination Status and Intent for Vaccination, Overall, by Selected Demographics, and Jurisdiction, Children 6 Months - 17 Years, 2023-24, United States",
          "accessURL": "https://data.cdc.gov/d/nsxk-tvbw",
          "license": "Public Domain U.S. Government",
          "modified": "2024-04-12"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/ph8r-wzxn",
      "title": "Weekly Cumulative Doses (in Millions) of Influenza Vaccines Distributed by Season, United States",
      "description": "• Weekly Cumulative Doses (in Millions) of Influenza Vaccines Distributed by Season in the United States.\n\n• Influenza vaccine is produced by private manufacturers. These data are submitted to CDC by current U.S.─ licensed manufacturers of influenza vaccine and a subset of influenza vaccine wholesalers and distributors that receive vaccine directly from these manufacturers. These data are not projected but approximate all influenza vaccines distributed in the United States.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-03-25",
      "issued": "2024-09-30",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Flu Vaccinations"
        }
      ],
      "keyword": [
        "nis-acm",
        "iis",
        "iqvia",
        "vsd",
        "flu vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/fluvaxview/dashboard/vaccine-doses-distributed.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Doses (in Millions) of Influenza Vaccines Distributed by Season, United States",
          "accessURL": "https://data.cdc.gov/d/ph8r-wzxn",
          "license": "Public Domain U.S. Government",
          "modified": "2026-03-25"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/pvk6-8bzd",
      "title": "Percent of Pregnant Women Ages 18-49 Years Who Have Received a COVID-19 Vaccine Overall, by Race and Ethnicity, and Season",
      "description": "Weekly COVID-19 Vaccination Coverage, Pregnant Women 18-49 Years Old by Overall, by Race and Ethnicity, and Season \n\nWeekly COVID-19 vaccination coverage estimates for pregnant women ages 18–49 years are based on electronic health record (EHR) data from the Vaccine Safety Datalink (VSD), a collaboration between CDC's Immunization Safety Office and multiple integrated health care organizations.* \n\nThe denominator includes women with a pregnancy during the respective season† beginning before or during the specified week. The numerator includes those who received a COVID-19 vaccine after the vaccine was available for the respective season‡ before or during pregnancy as of the specified week ending date. Pregnant women are not removed from the numerator or denominator when the pregnancy ends. Cumulative vaccination coverage for one week may be lower than cumulative coverage for a previous week due to the addition of pregnant women in the denominator.§ Additionally, no requirements for length of enrollment in a VSD site are applied, and vaccinations given outside of a VSD site might not be included.±\n\nWeekly comparisons to previous season should take into account differences between seasons in vaccine availability dates.‡",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-20",
      "issued": "2024-10-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Pregnancy & Vaccination"
        }
      ],
      "keyword": [
        "nis-acm",
        "vsd",
        "iis",
        "iqvia",
        "covid-19 vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/covidvaxview/weekly-dashboard/pregnant-women-vaccination.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Percent of Pregnant Women Ages 18-49 Years Who Have Received a COVID-19 Vaccine Overall, by Race and Ethnicity, and Season",
          "accessURL": "https://data.cdc.gov/d/pvk6-8bzd",
          "license": "Public Domain U.S. Government",
          "modified": "2026-05-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/pwn4-m3yp",
      "title": "Weekly United States COVID-19 Cases and Deaths by State - ARCHIVED",
      "description": "Reporting of new Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will receive a final update on June 1, 2023, to reconcile historical data through May 10, 2023, and will remain publicly available.\n\n<b>Aggregate Data Collection Process </b>\nSince the start of the COVID-19 pandemic, data have been gathered through a robust process with the following steps:\n<ul><li>A CDC data team reviews and validates the information obtained from jurisdictions’ state and local websites via an overnight data review process.</li>\n<li>If more than one official county data source exists, CDC uses a comprehensive data selection process comparing each official county data source, and takes the highest case and death counts respectively, unless otherwise specified by the state. </li>\n<li>CDC compiles these data and posts the finalized information on COVID Data Tracker. </li>\n<li>County level data is aggregated to obtain state and territory specific totals.</li>\n</ul>This process is collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provide the most up-to-date numbers on cases and deaths by report date. CDC may retrospectively update counts to correct data quality issues.\n\n<b>Methodology Changes </b>\nSeveral differences exist between the current, weekly-updated dataset and the archived version:\n<ul><li><b>Source:</b> The current Weekly-Updated Version is based on county-level aggregate count data, while the Archived Version is based on State-level aggregate count data. </li>\n<li><b>Confirmed/Probable Cases/Death breakdown: </b> While the probable cases and deaths are included in the total case and total death counts in both versions (if applicable), they were reported separately from the confirmed cases and deaths by jurisdiction in the Archived Version.  In the current Weekly-Updated Version, the counts by jurisdiction are not reported by confirmed or probable status (See Confirmed and Probable Counts section for more detail).</li>\n<li><b>Time Series Frequency:</b> The current Weekly-Updated Version contains weekly time series data (i.e., one record per week per jurisdiction), while the Archived Version contains daily time series data (i.e., one record per day per jurisdiction). </li>\n<li><b>Update Frequency:</b> The current Weekly-Updated Version is updated weekly, while the Archived Version was updated twice daily up to October 20, 2022. </li></ul>\n<b>Important note:</b> The counts reflected during a given time period in this dataset may not match the counts reflected for the same time period in the archived dataset noted above. Discrepancies may exist due to differences between county and state COVID-19 case surveillance and reconciliation efforts.\n\n<b>Confirmed and Probable Counts </b>\nIn this dataset, counts by jurisdiction are not displayed by confirmed or probable status. Instead, confirmed and probable cases and deaths are included in the Total Cases and Total Deaths columns, when available. Not all jurisdictions report probable cases and deaths to CDC.* Confirmed and probable case definition criteria are described here:\n\n<a href=\"https://cdn.ymaws.com/www.cste.org/resource/resmgr/ps/ps2022/22-ID-01_COVID19.pdf\">Council of State and Territorial Epidemiologists (ymaws.com).</a>\n\n<b>Deaths</b>\nCDC reports death data on other sections of the website: <a href=\"https://covid.cdc.gov/covid-data-tracker/#datatracker-home\"> CDC COVID Data Tracker: Home</a>, <a href=\"https://covid.cdc.gov/covid-data-tracker/?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcases-updates%2Fcases-in-us.html#cases_casesper100klast7days\">CDC COVID Data Tracker: Cases, Deaths, and Testing</a>, and <a href=\"https://www.cdc.gov/nchs/nvss/covid-19.htm\">NCHS Provisional Death Counts</a>. Information presented on the COVID Data Tracker pages is based on the same source (to",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-06-01",
      "issued": "2022-10-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Case Surveillance"
        }
      ],
      "keyword": [
        "aggregate",
        "cases",
        "coronavirus",
        "covid-19",
        "ncird-corvd",
        "death"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly United States COVID-19 Cases and Deaths by State - ARCHIVED",
          "accessURL": "https://data.cdc.gov/d/pwn4-m3yp",
          "license": "Public Domain U.S. Government",
          "modified": "2023-06-01"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/q84f-e68r",
      "title": "Monthly Cumulative Number and Percent of Persons Who Received 1+ COVID-19 Vaccination Doses and Comparison between 2025─26 and Previous Seasons, by Age Group and Jurisdiction, United States",
      "description": "Monthly Cumulative Number and Percent of Persons Who Received 1+COVID-19 Vaccination Doses and Comparison between 2025–26 and Previous Seasons, by Age Group and Jurisdiction\n\nCOVID-19 vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group.\n\nMonthly estimates shown are cumulative, reflecting all persons vaccinated from July 1 through a given month of that season.*,†, ‡ Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-20",
      "issued": "2024-10-14",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "iis",
        "nis-acm",
        "vsd",
        "iqvia",
        "covid-19 vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/covidvaxview/weekly-dashboard/vaccine-administration-coverage-jurisdiction.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Monthly Cumulative Number and Percent of Persons Who Received 1+ COVID-19 Vaccination Doses and Comparison between 2025─26 and Previous Seasons, by Age Group and Jurisdiction, United States",
          "accessURL": "https://data.cdc.gov/d/q84f-e68r",
          "license": "Public Domain U.S. Government",
          "modified": "2026-05-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/qeq7-f3ir",
      "title": "Weekly Cumulative RSV Vaccination Coverage and Intent, Overall, by Selected Demographics and Jurisdiction, Among Adults 75 and Older and 50-74 Years with High-Risk Conditions Ever Vaccinated, United States",
      "description": "• Weekly Cumulative RSV Vaccination Coverage and Intent Among Adults 75 Years and Older and 50-74 Years with High Risk Conditions Ever Vaccinated with RSV Vaccine by Demographic Characteristics and Jurisdiction\n\n• Weekly estimates of RSV vaccination coverage and intent among adults 75 years and older and 50-74 years with high risk conditions are calculated using data from National Immunization Surveys (NIS) – Fall Respiratory Virus Module (NIS–FRVM). The NIS-FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. \n\n• In June 2025, the Advisory Committee on Immunization Practices (ACIP) voted to recommend that adults aged 50–74 years who are at increased risk for severe RSV disease may receive a single dose of an RSV vaccine. In June 2024, the ACIP voted to recommend a single dose of RSV vaccine for all adults 75 years and older. The data below capture ever receiving a dose of an RSV vaccine by adults 50 years and older.\n \n• The NIS-FRVM data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel. This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-03-04",
      "issued": "2025-11-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "nis-acm",
        "vsd",
        "iis",
        "iqvia",
        "rsv vaccination",
        "cms"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/rsvvaxview/dashboard/adults-50-coverage-intent.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative RSV Vaccination Coverage and Intent, Overall, by Selected Demographics and Jurisdiction, Among Adults 75 and Older and 50-74 Years with High-Risk Conditions Ever Vaccinated, United States",
          "accessURL": "https://data.cdc.gov/d/qeq7-f3ir",
          "license": "Public Domain U.S. Government",
          "modified": "2026-03-04"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/qfiq-jir6",
      "title": "Weekly Differences in Cumulative Percentage of Children Ages 6 Months -17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine, by Selected Demographics",
      "description": "• Weekly COVID-19 vaccination coverage estimates among children 6 months to 17 years is assessed through the National Immunization Survey (https://www.cdc.gov/vaccines/imz-managers/nis/about.html).\n\n• Weekly estimates of COVID-19 vaccination coverage among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-ccm). Beginning January 2, 2024, the NIS-CCM was discontinued, and questions regarding receipt of COVID-19 vaccination among children were added to the NIS-Flu (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-cim).\n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-08-28",
      "issued": "2023-12-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Child Vaccinations"
        }
      ],
      "keyword": [
        "nis",
        "covid-19 vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/imz-managers/coverage/covidvaxview/interactive/children-coverage-vaccination.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Differences in Cumulative Percentage of Children Ages 6 Months -17 Years who are up to date with the updated 2023-24 COVID-19 Vaccine, by Selected Demographics",
          "accessURL": "https://data.cdc.gov/d/qfiq-jir6",
          "license": "Public Domain U.S. Government",
          "modified": "2024-08-28"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/qr63-vqq5",
      "title": "Weekly Cumulative Influenza Vaccination Coverage and Comparison Between 2025–26 and Previous Seasons± by Jurisdiction, Children 6 Months–17 Years, United States",
      "description": "• Weekly Cumulative Influenza Vaccination Coverage and Comparison Between 2025–26 and Previous Seasons by Jurisdiction, Children 6 Months–17, United States.\n\n• Weekly Influenza vaccination coverage and parental intent for vaccination among children is calculated using data from the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html). NIS–Flu is a national random-digit-dialed cellular telephone survey of households with children ages 6 months–17 years conducted during October-June. The respondent to a NIS–Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.\n\n• The NIS-Flu data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-02",
      "issued": "2024-10-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Child Vaccinations"
        }
      ],
      "keyword": [
        "nis-ccm",
        "nis-flu",
        "flu vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/fluvaxview/dashboard/children-vaccination-coverage.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Influenza Vaccination Coverage and Comparison Between 2025–26 and Previous Seasons± by Jurisdiction, Children 6 Months–17 Years, United States",
          "accessURL": "https://data.cdc.gov/d/qr63-vqq5",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-02"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/qtbi-xd4i/visualization",
      "title": "Lyme aggregated data with geography, 2008-2021",
      "description": "Public CDC dataset / api providing data or related information for Lyme disease. Source inventory cadence or coverage note: 2008-2021.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Bacterial Diseases Branch",
          "hasEmail": "mailto:bdbepigroup@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Lyme disease"
        }
      ],
      "keyword": [
        "Lyme disease",
        "Dataset / API",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://data.cdc.gov/d/qtbi-xd4i/visualization",
        "title": "Lyme aggregated data with geography, 2008-2021"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Lyme aggregated data with geography, 2008-2021",
          "description": "Access point for Lyme aggregated data with geography, 2008-2021.",
          "accessURL": "https://data.cdc.gov/d/qtbi-xd4i/visualization",
          "format": "Dataset / API",
          "accessService": [
            {
              "@type": "DataService",
              "@id": "https://data.cdc.gov/api/v3/views/qtbi-xd4i/query.json",
              "title": "Lyme aggregated data with geography, 2008-2021 Socrata API",
              "endpointURL": [
                "https://data.cdc.gov/resource/qtbi-xd4i.json"
              ],
              "endpointDescription": [
                "https://dev.socrata.com/foundry/data.cdc.gov/qtbi-xd4i"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "Bacterial Diseases Branch Epidemiology & Surveillance Team",
                  "hasEmail": "mailto:bdbepigroup@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "NCEZID"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/qve4-fp9c",
      "title": "Weekly Cumulative Percentage of Adults 60 Years and Older Vaccinated with Respiratory Syncytial Virus (RSV) Vaccine by Jurisdiction",
      "description": "Weekly RSV Vaccination Coverage of Adults 60 Years and Older by Jurisdiction\n\n• RSV vaccination coverage among adults 60 years and older is assessed through the National Immunization Survey-Adult COVID Module providing weekly RSV vaccination coverage estimates. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)\n\n• The CDC recommended the RSV vaccine for adults 60 years and older in July 2023. (https://www.cdc.gov/respiratory-viruses/whats-new/rsv-update-2023-09-22.html)",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-08-28",
      "issued": "2023-12-08",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "vaccination",
        "rsv",
        "older adults",
        "nis-acm"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/imz-managers/coverage/rsvvaxview/adults-60-coverage-intent.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Percentage of Adults 60 Years and Older Vaccinated with Respiratory Syncytial Virus (RSV) Vaccine by Jurisdiction",
          "accessURL": "https://data.cdc.gov/d/qve4-fp9c",
          "license": "Public Domain U.S. Government",
          "modified": "2024-08-28"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/qz99-wyhv",
      "title": "National Immunization Survey Adult COVID Module (NIS-ACM): Trends in Behavioral Indicators Among Unvaccinated People",
      "description": "National Immunization Survey-Adult COVID Module (NIS-ACM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. Trends in behavioral indicators represent the percent of unvaccinated people responding to each of the indicators by intent status and by week for the national-level view, and by month for the jurisdiction-level view.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-08-03",
      "issued": "2021-07-20",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "nis-acm",
        "covid tracker",
        "covid-19 vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://covid.cdc.gov/covid-data-tracker/#vaccine-confidence",
        "title": "covid.cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Immunization Survey Adult COVID Module (NIS-ACM): Trends in Behavioral Indicators Among Unvaccinated People",
          "accessURL": "https://data.cdc.gov/d/qz99-wyhv",
          "modified": "2023-08-03"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/r229-z6ma",
      "title": "Pathogen Detections Among Enrolled Children in the New Vaccine Surveillance Network (NVSN), Acute Respiratory Illnesses (ARI), 12 Month Rolling Period",
      "description": "Percent positivity of 9 viral pathogens, and enrollment counts of children with ARI by week for the past 12 months (rolling x-axis).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-29",
      "issued": "2023-12-08",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "pediatric",
        "parainfluenza virus",
        "ncird-corvd",
        "medically attended illness",
        "influenza",
        "viral detections",
        "rsv",
        "rhinovirus",
        "respiratory illness",
        "human metapneumovirus",
        "human coronaviruses",
        "evd-68",
        "enterovirus",
        "covid-19",
        "adenovirus"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/surveillance/nvsn/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Pathogen Detections Among Enrolled Children in the New Vaccine Surveillance Network (NVSN), Acute Respiratory Illnesses (ARI), 12 Month Rolling Period",
          "accessURL": "https://data.cdc.gov/d/r229-z6ma",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-29"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/rdmq-nq56",
      "title": "NSSP Emergency Department Visit Trajectories by State and Sub State Regions- COVID-19, Flu, RSV, Combined",
      "description": "NSSP Emergency Department (ED) Visit Trajectories by State and Sub-State Regions- COVID-19, Flu, RSV, Combined. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geographic part of the country that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time is characterized as increasing, decreasing or no change, with exceptions for when there are no data available, the data are too sparse, or there are not enough data to compute a trend. These data are to provide awareness of how the weekly trend is changing for the given geographic region. \n\nNote that the reported sub-state trends are from Health Service Areas (HSA) and the data reported from the health care facilities located within the given HSA. Health Service Areas are regions of one or more counties that align to patterns of care seeking. The HSA level data are reported for each county in the HSA.\n\nMore information on HSAs is available <a href=\"https://seer.cancer.gov/seerstat/variables/countyattribs/hsa.html\"><b>here</b></a>.\n\nFor the emergency department time series, trajectory classifications reported on for sub-state (HSA) emergency department time series, trajectory classifications are based on approximations of the first derivative (slope) of trends that are smoothed using generalized additive models (GAMs). To determine time intervals in which the slope is sufficiently changing (i.e., rate of change distinguishable from 0), 95% confidence intervals for the slope approximations are calculated and assessed. Weeks with a 95% confidence interval not containing 0 are classified as increasing if the slope estimate is positive and decreasing if the slope estimate is negative. Weeks with a 95% confidence interval containing 0 are classified as stable. In the scenario that an HSA's time series is determined to be too sparse (i.e., many weeks with percentages of 0%), a model is not fit, and the HSA is classified as “sparse”. \n\nFor additional information, please see: <a href=\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\n\nUpdated once per week on Fridays.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NSSP",
          "hasEmail": "mailto:nssp@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Public Health Data, Surveillance, and Technology (OPHDST), National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-31",
      "issued": "2023-12-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "influenza",
        "flu",
        "emergency department",
        "ed",
        "covid19",
        "national syndromic surveillance program",
        "nssp",
        "ophdst",
        "coronavirus",
        "respiratory syncytial virus",
        "ncird",
        "rsv",
        "rvr"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "NSSP Emergency Department Visit Trajectories by State and Sub State Regions- COVID-19, Flu, RSV, Combined",
          "accessURL": "https://data.cdc.gov/d/rdmq-nq56",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-31"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/rdng-ki53",
      "title": "Weekly Cumulative Influenza Vaccination Coverage Map and Comparison Between 2025–26 and 2024–25 by Jurisdiction, Adults 18 Years and Older",
      "description": "• Weekly Influenza Vaccination Coverage Map and Comparison Between 2025-26 and 2024-25 among adults 18 Years and Older by Jurisdiction.\n\n• Weekly estimates of influenza vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Surveys (NIS)-Fall Respiratory Virus Module (NIS-FRVM). The NIS-FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. All estimates are based upon self-reported receipt of vaccination and month of that vaccination. \n\n• The NIS-FRVM data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel. This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-03-04",
      "issued": "2024-09-21",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Flu Vaccinations"
        }
      ],
      "keyword": [
        "nis-child",
        "iis-adults",
        "iis-child",
        "iqvia",
        "vsd",
        "cms",
        "dose distributed",
        "nis-acm"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/fluvaxview/dashboard/adult-coverage.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Influenza Vaccination Coverage Map and Comparison Between 2025–26 and 2024–25 by Jurisdiction, Adults 18 Years and Older",
          "accessURL": "https://data.cdc.gov/d/rdng-ki53",
          "license": "Public Domain U.S. Government",
          "modified": "2026-03-04"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/rgnm-fkqb",
      "title": "Percent positivity of respiratory viruses by nucleic acid amplification tests (NAATs), as reported on the National Respiratory and Enteric Virus Surveillance System (NREVSS) Dashboard",
      "description": "More than 450 public health and clinical laboratories located throughout the United States participate in laboratory-based surveillance through CDC's National Respiratory and Enteric Virus Surveillance System (NREVSS) for respiratory adenovirus, common human coronaviruses (HCOV), human metapneumovirus (HMPV), influenza, parainfluenza viruses (PIV), rhinoviruses/enteroviruses (RV/EV), respiratory syncytial virus (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes COVID-19. The dataset contains aggregate counts of the total tests performed for these viruses and positive detections reported to NREVSS since July 2019. Data from all 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands are included. These data are reported weekly on a voluntary basis. Laboratories do not report demographic data through NREVSS. Testing practices vary, and the number of participating laboratories changes from year to year. All data are provisional and subject to change. Reporting is less complete for the past 1 week, and more complete (>90%) for the period 2 weeks earlier. Data can be updated for up to 2 years after the initial reporting week. Discrepancies may be noted and updated at the discretion of the NREVSS data stewards and key stakeholders.\n\nWhile NREVSS strives to present the most precise estimates of respiratory viral trends with reporting burden minimized for participating laboratories, there are several inherent limitations to this surveillance system. NREVSS does not collect patient-specific demographic information, clinical data, or outcomes (e.g., hospitalization or death). Multiple specimens may be collected from a single patient, so NREVSS results reflect the number of tests performed rather than the number of patients tested.\n\nParticipating laboratories vary in size, testing capabilities, and areas served. Some institutions may receive specimens from sites across a given state or even from multiple states. NREVSS cannot be used to determine the prevalence or incidence of infection. NREVSS counts reflect the latest data reported from participating laboratories and may not match data presented by various jurisdictions.\nThe national and regional NREVSS data described here are available, beginning from July 6, 2019. Data are also visualized on the NREVSS dashboard at the following URL: https://www.cdc.gov/nrevss/php/dashboard/index.html\n\nFor more information on NREVSS and COVID-19 surveillance please visit https://www.cdc.gov/nrevss/php/dashboard/index.html and https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-COVID-19-Nucleic-Acid-Amplif/gvsb-yw6g/about_data.\nThe regional RSV data available at https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-Respiratory-Syncytial-Virus-/3cxc-4k8q/about_data\nrepresent averaged values that CDC calculates from testing reports. These average estimates differ from the raw regional RSV laboratory data displayed on the CDC dashboard. The national RSV data available at  https://data.cdc.gov/Laboratory-Surveillance/Percent-Positivity-of-Respiratory-Syncytial-Virus-/3cxc-4k8q/about_data are the same values included in the dashboard.\n\nData for all NREVSS pathogens are reported at the national and HHS regional levels. The prior two years of state level data are shared for RSV and SARS-CoV-2. Data for all influenza clinical laboratories and public health laboratories (the U.S. Influenza collaborating laboratories [ICL]) are shared through the influenza virologic surveillance and are available here: https://www.cdc.gov/fluview/?CDC_AAref_Val=https://www.cdc.gov/flu/weekly/overview.htm. The ten (10) U.S. Department of HHS regions are defined here: https://www.hhs.gov/about/agencies/iea/regional-offices/index.html.\n\nAdenovirus, HCOV, HMPV, PIV, RSV, RV/EV and SARS-COV-2 data include only nucleic acid amplification test (NAAT) results, which include reverse transcription-polymerase chain reaction (RT-PCR) test results",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:nrevss@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD), Coronavirus and Other Respiratory Viruses Division (CORVD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-31",
      "issued": "2025-11-28",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Laboratory Surveillance"
        }
      ],
      "keyword": [
        "rhinovirus",
        "parainfluenza virus",
        "human metapneumovirus",
        "human coronaviruses",
        "chronic lower respiratory disease",
        "adenovirus",
        "sars-cov-2",
        "rsv"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://data.cdc.gov/Laboratory-Surveillance/Percent-positivity-of-respiratory-viruses-by-nucle/rgnm-fkqb/about_data",
        "title": "data.cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Percent positivity of respiratory viruses by nucleic acid amplification tests (NAATs), as reported on the National Respiratory and Enteric Virus Surveillance System (NREVSS) Dashboard",
          "accessURL": "https://data.cdc.gov/d/rgnm-fkqb",
          "modified": "2026-07-31"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/rh2h-3yt2",
      "title": "COVID-19 Vaccination Trends in the United States,National and Jurisdictional",
      "description": "Overall Trends in Number of COVID-19 Vaccinations in the US at national and jurisdictional levels. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-05-12",
      "issued": "2021-05-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "immunization",
        "vaccination",
        "report date",
        "izdl",
        "covid-19",
        "coronavirus",
        "administration"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "COVID-19 Vaccination Trends in the United States,National and Jurisdictional",
          "accessURL": "https://data.cdc.gov/d/rh2h-3yt2",
          "license": "Public Domain U.S. Government",
          "modified": "2023-05-12"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/rpjd-ejph",
      "title": "TABLE III. Deaths in 122 U.S. cities",
      "description": "TABLE III. Deaths in 122 U.S. cities – 2016.  122 Cities Mortality Reporting System — Each week, the vital statistics offices of 122 cities across the United States report the total number of death certificates processed and the number of those for which pneumonia or influenza was listed as the underlying or contributing cause of death by age group (Under 28 days, 28 days –1 year, 1-14 years, 15-24 years, 25-44 years, 45-64 years, 65-74 years, 75-84 years, and ≥ 85 years).\n\nFOOTNOTE:\nU: Unavailable. —: No reported cases.\n* Mortality data in this table are voluntarily reported from 122 cities in the United States, most of which have populations of 100,000 or more. A death is reported by the place of its occurrence and by the week that the death certificate was filed. Fetal deaths are not included.\n\n† Pneumonia and influenza.\n\n§ Total includes unknown ages.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC Info",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2016-10-06",
      "issued": "2016-01-12",
      "keyword": [
        "pneumonia",
        "2016",
        "influenza",
        "mortality",
        "122 cities",
        "death"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "TABLE III. Deaths in 122 U.S. cities",
          "accessURL": "https://data.cdc.gov/d/rpjd-ejph",
          "modified": "2016-10-06"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/s5a6-fn5p",
      "title": "National Immunization Survey Child COVID Module (NIS-CCM): COVIDVaxViews| Data | Centers for Disease Control and Prevention (cdc.gov)",
      "description": "National Immunization Survey Child COVID Module (NIS-CCM): CDC is providing information on COVID-19 vaccine uptake and confidence. These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-01-24",
      "issued": "2024-01-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Child Vaccinations"
        }
      ],
      "keyword": [
        "covid-19 vaccination",
        "nis-ccm",
        "vaccination",
        "vaxviews",
        "vaccine confidence",
        "vaccination coverage",
        "covid-19",
        "immunization"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/imz-managers/coverage/covidvaxview/interactive.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Immunization Survey Child COVID Module (NIS-CCM): COVIDVaxViews| Data | Centers for Disease Control and Prevention (cdc.gov)",
          "accessURL": "https://data.cdc.gov/d/s5a6-fn5p",
          "license": "Public Domain U.S. Government",
          "modified": "2024-01-24"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/scrf-8d7w",
      "title": "Monthly Cumulative Number and Percent of Adults 60 Years and Older Who Received at least one RSV Vaccination Doses by Jurisdiction, United States",
      "description": "Monthly Cumulative Number and Percent of Adults 60 Years and Older Who Received at least one RSV Vaccination Doses by Jurisdiction\n\n• Estimated Respiratory Syncytial Virus (RSV) vaccination coverage for adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group.\n\n • Starting in July 2023, the CDC recommended the RSV vaccine to protect against serious illness from RSV. (https://www.cdc.gov/respiratory-viruses/whats-new/rsv-update-2023-09-22.html)",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-08-05",
      "issued": "2024-01-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "iis",
        "rsv vaccination",
        "immunization information system"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/vaxview/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Monthly Cumulative Number and Percent of Adults 60 Years and Older Who Received at least one RSV Vaccination Doses by Jurisdiction, United States",
          "accessURL": "https://data.cdc.gov/d/scrf-8d7w",
          "license": "Public Domain U.S. Government",
          "modified": "2024-08-05"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/seuz-s2cv",
      "title": "Percent of Tests Positive for Viral Respiratory Pathogens",
      "description": "Percent of tests positive for a pathogen is one of the surveillance metrics used to monitor respiratory pathogen transmission over time. The percent of tests positive is calculated by dividing the number of positive tests by the total number of tests administered, then multiplying by 100 [(# of positive tests/total tests) x 100]. These data include percent of tests positive values for the detection of severe acute respiratory virus coronavirus type 2 (SARS-CoV-2), the virus that causes COVID-19 and Respiratory syncytial virus (RSV) reported to the National Respiratory and Enteric Virus Surveillance System (NREVSS), a sentinel network of laboratories located through the US, includes clinical, public health and commercial laboratories; additional information available at: https://www.cdc.gov/surveillance/nrevss/index.html. Influenza results include clinical laboratory test results from NREVSS and influenza collaborating laboratories; more details about influenza virologic surveillance are available here: https://www.cdc.gov/flu/weekly/overview.html.\n\nData represent calculations based on laboratory tests performed, not individual people tested. RSV and COVID-19 are limited to nucleic acid amplification tests (NAATs), also listed as polymerase chain reaction tests (PCR). Participating laboratories report weekly to CDC the total number of SARS-CoV-2 and RSV tests performed that week and the number of those tests that were positive.\n\nAll data are provisional and subject to change.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:Nrevss@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-31",
      "issued": "2023-11-08",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "ncird-corvd",
        "ncird",
        "covid19",
        "influenza",
        "rsv",
        "coronavirus",
        "ncird-id",
        "flu"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Percent of Tests Positive for Viral Respiratory Pathogens",
          "accessURL": "https://data.cdc.gov/d/seuz-s2cv",
          "modified": "2026-07-31"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/si7g-c2bs",
      "title": "National Immunization Survey Adult COVID Module (NIS-ACM): RespVaxView| Data | Centers for Disease Control and Prevention (cdc.gov) 2024-2025 Archive Season",
      "description": "• National Immunization Survey Adult COVID Module (NIS-ACM): CDC is providing information on the updated 2024-25 COVID-19 vaccine, the 2024-25 seasonal flu vaccine, and the RSV vaccine uptake and confidence. These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.\n\n• The data start in September 2024.\n\n• The archived data can be found here:\n- 2023-24 season: https://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/uc4z-hbsd/about_data\n- Before October 2023: \nhttps://data.cdc.gov/Vaccinations/National-Immunization-Survey-Adult-COVID-Module-NI/udsf-9v7b/about_data",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-05-16",
      "issued": "2024-11-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "nis-acm",
        "covid-19 vaccination",
        "vaccine confidence",
        "rsv vaccination",
        "vaccination",
        "vaccination coverage"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/respvaxview/about/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Immunization Survey Adult COVID Module (NIS-ACM): RespVaxView| Data | Centers for Disease Control and Prevention (cdc.gov) 2024-2025 Archive Season",
          "accessURL": "https://data.cdc.gov/d/si7g-c2bs",
          "license": "Public Domain U.S. Government",
          "modified": "2025-05-16"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/sjpm-fk4b",
      "title": "Weekly Cumulative Percentage of Adults 18 Years and Older Vaccinated with the Updated 2023-24 COVID-19 Vaccine by Jurisdiction",
      "description": "Weekly COVID-19 Vaccination Coverage of Adults 18 Years and Older by Jurisdiction\n\n• COVID-19 vaccination coverage among adults 18 years and older is assessed through the National Immunization Survey-Adult COVID Module, providing weekly COVID-19 vaccination coverage estimates. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)\n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine for adults ages 18 years and older.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-08-28",
      "issued": "2023-12-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "covid-19 vaccination",
        "nis-acm",
        "adults"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/imz-managers/coverage/covidvaxview/interactive/adult-coverage-vaccination.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Percentage of Adults 18 Years and Older Vaccinated with the Updated 2023-24 COVID-19 Vaccine by Jurisdiction",
          "accessURL": "https://data.cdc.gov/d/sjpm-fk4b",
          "license": "Public Domain U.S. Government",
          "modified": "2024-08-28"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/skkh-jsrk",
      "title": "Difference in Cumulative Percentage of Children 6 Months -17 Years Who Are Up to date with COVID-19 Vaccines by Selected Demographics and by Season, United States",
      "description": "• Differences in Cumulative Percentage of Children 6 Months–17 Years Who Are Up to Date with COVID-19 Vaccines by Selected Demographics and by Season.\n\n• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/nis/about/index.html). The NIS-CCM was discontinued at the end of 2023 and questions regarding COVID-19 vaccination status and intent were added to the National Immunization Survey-Flu (NIS-Flu) (https://www.cdc.gov/nis/about/index.html).\n\n• NIS-CCM and NIS-Flu are national random-digit dial cellular telephone surveys of households with children ages 6 months through 17 years; NIS-Flu is conducted during October-June. The respondent to a NIS-Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.\n\n• Weekly comparisons to previous season should take into account differences between seasons in vaccine availability dates. 2023–24 COVID-19 vaccines were first available mid-September 2023, and 2024–25 and 2025–26 COVID-19 vaccines were first available at the end of August 2024 and 2025, respectively. \n\n• The NIS-Flu data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-02",
      "issued": "2024-10-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Child Vaccinations"
        }
      ],
      "keyword": [
        "nis-ccm",
        "covid-19 vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/covidvaxview/weekly-dashboard/child-coverage-vaccination.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Difference in Cumulative Percentage of Children 6 Months -17 Years Who Are Up to date with COVID-19 Vaccines by Selected Demographics and by Season, United States",
          "accessURL": "https://data.cdc.gov/d/skkh-jsrk",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-02"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/sumd-iwm8",
      "title": "Preliminary U.S. RSV Burden Estimates",
      "description": "This dataset represents preliminary weekly estimates of cumulative U.S. RSV burden, including outpatient visits, hospitalizations, and deaths since the start of the 2024 respiratory season. Estimates are preliminary, and use reported weekly hospitalizations among people with a laboratory-confirmed respiratory syncytial virus (RSV) infection. The data are updated weekly as new RSV hospitalizations are reported to CDC from the RSV-NET surveillance system and include both new admissions that occurred during the reporting week, as well as those admitted in previous weeks that may not have been included in earlier reporting. Each week CDC estimates a range (i.e., a lower estimate and an upper estimate) of RSV hospitalizations, outpatient visits, and deaths that have occurred since the start of respiratory season. For details, please refer to the publications [1, 8]. \n\n<b>Note:</b> Data are preliminary and subject to change as updated data become available. Rates for recent RSV hospital admissions are subject to reporting delays; as new data are received each week, previous rates are updated accordingly.\n\n<b>Note:</b> Preliminary burden estimates are not inclusive of data from all RSV-NET sites. Due to model limitations, sites with small sample sizes can impact estimates in unpredictable ways and are excluded for the benefit of model stability. CDC is working to address model limitations and include data from all sites in final burden estimates. The methodology used for RSV burden estimation between the surveillance periods was updated to account for inclusion of additional surveillance sites, seasonal changes to adjustment factors, revised outpatient visits and death multiplier ratios, and improvements in estimation methods.  \n\n<b>References</b>\n1. Koumans EHA, Khan D, Trejo I, et al; Estimate of Burden of COVID-19 Workgroup. Estimated burden of COVID-19 illnesses, medical visits, hospitalizations, and deaths in the US from October 2022 to September 2024. JAMA Intern Med. Published online January 5, 2026. <a href=\"https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2843383#250739811\">Estimated Burden of COVID-19 Illnesses, Medical Visits, Hospitalizations, and Deaths in the US From October 2022 to September 2024 | Coronavirus (COVID-19) | JAMA Internal Medicine | JAMA Network</a><br>2. Reed C, Chaves SS, Daily Kirley P, et al. Estimating influenza disease burden from population-based surveillance data in the United States. PLoS One. 2015;10(3):e0118369. <a href=\"https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0118369\">Estimating Influenza Disease Burden from Population-Based Surveillance Data in the United States | PLOS One</a><br>3. Rolfes, MA, Foppa, IM, Garg, S, et al. Annual estimates of the burden of seasonal influenza in the United States: A tool for strengthening influenza surveillance and preparedness. Influenza Other Respi Viruses. 2018; 12: 132– 137. <a href=\"https://doi.org/10.1111/irv.12486\">https://doi.org/10.1111/irv.12486</a><br>4. Tokars JI, Rolfes MA, Foppa  IM, Reed C.  An evaluation and update of methods for estimating the number of influenza cases averted by vaccination in the United States. Vaccine. 2018;36(48):7331-7337. doi:10.1016/j.vaccine.2018.10.026 <br>5. Collier SA, Deng L, Adam EA, Benedict KM, Beshearse EM, Blackstock AJ, Bruce BB, Derado G, Edens C, Fullerton KE, Gargano JW, Geissler AL, Hall AJ, Havelaar AH, Hill VR, Hoekstra RM, Reddy SC, Scallan E, Stokes EK, Yoder JS, Beach MJ. Estimate of Burden and Direct Healthcare Cost of Infectious Waterborne Disease in the United States. Emerg Infect Dis. 2021 Jan;27(1):140-149. doi: 10.3201/eid2701.190676. PMID: 33350905; PMCID: PMC7774540. <br>6. Reed C, Kim IK, Singleton JA,  et al. Estimated influenza illnesses and hospitalizations averted by vaccination–United States, 2013-14 influenza season. MMWR Morb Mortal Wkly Rep. 2014 Dec 12;63(49):1151-4. https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6349a2.htm <br>7. Reed C, Ang",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-10",
      "issued": "2024-10-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "hospitalizations",
        "rsv",
        "outpatient visits",
        "disease burden",
        "deaths",
        "respiratory syncytial virus"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Preliminary U.S. RSV Burden Estimates",
          "accessURL": "https://data.cdc.gov/d/sumd-iwm8",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-10"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/sw5n-wg2p",
      "title": "Weekly Influenza Vaccination Coverage and Intent for Vaccination, Overall, by Selected Demographics and Jurisdiction, Among Adults 18 Years and Older",
      "description": "• Weekly Influenza Vaccination Coverage and intent among adults 18 Years and Older by Demographic Characteristics and Jurisdiction\n\n• Weekly estimates of influenza vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Surveys (NIS)-Fall Respiratory Virus Module (NIS-FRVM) (https://www.cdc.gov/nis/about/index.html). The NIS-FRVM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. All estimates are based upon self-reported receipt of vaccination and month of that vaccination. \n\n• The NIS-FRVM data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-03-04",
      "issued": "2024-09-18",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Flu Vaccinations"
        }
      ],
      "keyword": [
        "dose distributed",
        "nis-child",
        "vsd",
        "nis-flu",
        "cms",
        "iis-child",
        "iqvia",
        "nis-acm",
        "iis-adult"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/fluvaxview/dashboard/adult-coverage.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Influenza Vaccination Coverage and Intent for Vaccination, Overall, by Selected Demographics and Jurisdiction, Among Adults 18 Years and Older",
          "accessURL": "https://data.cdc.gov/d/sw5n-wg2p",
          "license": "Public Domain U.S. Government",
          "modified": "2026-03-04"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/ty79-wym3",
      "title": "Cumulative Influenza Vaccination Coverage by Age Group, Race/Ethnicity, Urbanicity and Jurisdiction, NIS-ACM, Adults 18 Years and Older - NIS ACM",
      "description": "Cumulative Influenza Vaccination Coverage by Age Group, Race/Ethnicity, Urbanicity and Jurisdiction, NIS-ACM, Adults 18 Years and Older, United States, National Immunization Survey-Adult COVID Module. Archived data are available at the following locations:\n1. https://data.cdc.gov/resource/8dyx-9z99\n2. https://data.cdc.gov/resource/3myw-4j4q\n\n• The National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-04-28",
      "issued": "2022-12-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "influenza",
        "adults",
        "flu vaccination",
        "vaccination",
        "coverage",
        "vaccine coverage"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/imz-managers/nis/",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Cumulative Influenza Vaccination Coverage by Age Group, Race/Ethnicity, Urbanicity and Jurisdiction, NIS-ACM, Adults 18 Years and Older - NIS ACM",
          "accessURL": "https://data.cdc.gov/d/ty79-wym3",
          "license": "Public Domain U.S. Government",
          "modified": "2023-04-28"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/u4vw-xsmf",
      "title": "Household Pulse Survey (HPS): COVID-19 Vaccination among People with Disabilities",
      "description": "Household Pulse Survey (HPS): HPS is a rapid-response survey of adults ages ≥18 years led by the U.S. Census Bureau, in partnership with seven other federal statistical agencies, to measure household experiences during the COVID-19 pandemic. Detailed information on probability sampling using the U.S. Census Bureau’s Master Address File, questionnaires, response rates, and bias assessment is available on the Census Bureau website (https://www.census.gov/data/experimental-data-products/household-pulse-survey.html).\n\nData from adults ages ≥18 years and older are collected by a 20-minute online survey from randomly sampled households stratified by state and the top 15 metropolitan statistical areas (MSAs). Data are weighted to represent total persons ages 18 and older living within households and to mitigate possible bias that can result from non-responses and incomplete survey frame. Data from adults ages ≥18 years and older are collected by 20-minute online survey from randomly sampled households stratified by state and the top 15 metropolitan statistical areas (MSAs). For more information on this survey, see https://www.census.gov/programs-surveys/household-pulse-survey.html.\n\nData are weighted to represent total persons ages 18 and older living within households and to mitigate possible bias that can result from non-responses and incomplete survey frame. Responses in the Household Pulse Survey (https://www.census.gov/programs-surveys/household-pulse-survey.html) are self-reported. Estimates of vaccination coverage may differ from vaccine administration data reported at COVID-19 Vaccinations in the United States (https://covid.cdc.gov/covid-data-tracker/#vaccinations).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-ISD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-09-27",
      "issued": "2023-04-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "covid tracker",
        "covid-19 vaccination",
        "disability",
        "hps"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Household Pulse Survey (HPS): COVID-19 Vaccination among People with Disabilities",
          "accessURL": "https://data.cdc.gov/d/u4vw-xsmf",
          "modified": "2023-09-27"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/udwr-3en6",
      "title": "Monthly Cumulative Number and Percent of Persons Who Received ≥1 Influenza Vaccination Doses, by Flu Season, Age Group, and Jurisdiction",
      "description": "Monthly Cumulative Number and Percent of Persons Who Received ≥1 Influenza Vaccination Doses, by Flu Season, Age Group, and Jurisdiction\n\n• Influenza vaccination coverage for children and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group. More information about the IIS can be found at https://www.cdc.gov/vaccines/programs/iis/about.html.\n\n• Influenza vaccination coverage estimate numerators include the number of people receiving at least one dose of influenza vaccine in a given flu season, based on information that state, territorial, and local public health agencies report to CDC. Some jurisdictions’ data may include data submitted by tribes. Estimates include persons who are deceased but received a vaccination during the current season. People receiving doses are attributed to the jurisdiction in which the person resides unless noted otherwise. Quality and completeness of data may vary across jurisdictions. Influenza vaccination coverage denominators are obtained from 2020 U.S. Census Bureau population estimates.\n\n• Monthly estimates shown are cumulative, reflecting all persons vaccinated from July through a given month of that flu season. Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.\n\n• Because IIS data contain all vaccinations administered within a jurisdiction rather than a sample, standard errors were not calculated and statistical testing for differences in estimates across years were not performed.\n\n• Laws and policies regarding the submission of vaccination data to an IIS vary by state, which may impact the completeness of vaccination coverage reflected for a jurisdiction. More information on laws and policies are found at https://www.cdc.gov/vaccines/programs/iis/policy-legislation.html.\n\n• Coverage estimates based on IIS data are expected to differ from National Immunization Survey (NIS) estimates for children (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-coverage-race.html)\nand adults (https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-adult-coverage.html) because NIS estimates are based on a sample that may not be representative after survey weighting and vaccination status is determined by survey respondent rather than vaccine records or administrations, and quality and completeness of IIS data may vary across jurisdictions. In general, NIS estimates tend to overestimate coverage due to overreporting and IIS estimates may underestimate coverage due to incompleteness of data in certain jurisdictions.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-09-03",
      "issued": "2024-01-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Flu Vaccinations"
        }
      ],
      "keyword": [
        "vaccination coverage",
        "flu vaccination",
        "immunization information system",
        "iis"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-dashboard.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Monthly Cumulative Number and Percent of Persons Who Received ≥1 Influenza Vaccination Doses, by Flu Season, Age Group, and Jurisdiction",
          "accessURL": "https://data.cdc.gov/d/udwr-3en6",
          "license": "Public Domain U.S. Government",
          "modified": "2024-09-03"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/unsk-b7fc",
      "title": "COVID-19 Vaccinations in the United States,Jurisdiction",
      "description": "Overall US COVID-19 Vaccine deliveries and administration data at national and jurisdiction level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:iisinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-05-12",
      "issued": "2021-05-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "covid-19",
        "izdl",
        "vaccination",
        "administration",
        "immunization",
        "coronavirus",
        "age"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "COVID-19 Vaccinations in the United States,Jurisdiction",
          "accessURL": "https://data.cdc.gov/d/unsk-b7fc",
          "license": "Public Domain U.S. Government",
          "modified": "2023-05-12"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/uny6-e3dx",
      "title": "National Immunization Survey Child COVID Module (NIS-CCM): COVIDVaxViews| Data | Centers for Disease Control and Prevention (cdc.gov)-Archived",
      "description": "National Immunization Survey Child COVID Module (NIS-CCM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data.  These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-01-18",
      "issued": "2021-11-29",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "vaccine confidence",
        "vaxviews",
        "covid-19",
        "nis-ccm",
        "immunization",
        "covid-19 vaccination",
        "vaccination",
        "vaccination coverage"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Immunization Survey Child COVID Module (NIS-CCM): COVIDVaxViews| Data | Centers for Disease Control and Prevention (cdc.gov)-Archived",
          "accessURL": "https://data.cdc.gov/d/uny6-e3dx",
          "license": "Public Domain U.S. Government",
          "modified": "2024-01-18"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/uqxy-gepz",
      "title": "Weekly Percent of Pregnant Women Ages 18-49 Years Vaccinated with Respiratory Syncytial Virus (RSV) Vaccine Overall and by Race and Ethnicity",
      "description": "Weekly RSV Vaccination Coverage, Pregnant Women 18-49 Years Old by Race and Ethnicity \n\nWeekly RSV vaccination coverage estimates for pregnant women 18–49 years are based on electronic health record (EHR) data from the Vaccine Safety Datalink (VSD), a collaboration between CDC's Immunization Safety Office and multiple integrated health care organizations.*\n\nThe denominator includes those who reached at least 32 weeks' gestation since September 1, 2025. The numerator includes those who have received an RSV vaccine during pregnancy as of the week ending date. Pregnant women are not removed from the numerator or denominator when the pregnancy ends. Cumulative vaccination coverage for one week may be lower than cumulative coverage for a previous week due to the addition of pregnant women in the denominator. Additionally, no requirements for length of enrollment in a VSD site are applied, and vaccinations given outside of a VSD site might not be included.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-20",
      "issued": "2024-10-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Pregnancy & Vaccination"
        }
      ],
      "keyword": [
        "nis-acm",
        "iis",
        "iqvia",
        "vsd",
        "rsv vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/rsvvaxview/dashboard/pregnant-women-coverage.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Percent of Pregnant Women Ages 18-49 Years Vaccinated with Respiratory Syncytial Virus (RSV) Vaccine Overall and by Race and Ethnicity",
          "accessURL": "https://data.cdc.gov/d/uqxy-gepz",
          "license": "Public Domain U.S. Government",
          "modified": "2026-05-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/uxgd-cqqc",
      "title": "Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States (ARCHIVED)",
      "description": "Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States\n\n- Since 2019, CDC has been exploring use of data obtained from (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices. These data are being presented publicly for the first time this season; further evaluations of these data are underway.\n\n- The pharmacy data include flu vaccinations that were billed for (i.e. claims) or paid by cash. Medical office data are claims based.\n\n- The sampled pharmacies and physician medical offices and the captured volume of transactions represent approximately 92% and 82% of influenza vaccines administered nationally, respectively.\n\n- Vaccinations administered in other settings such as workplaces and community settings are not included in these data.\n\n- Weekly Number of Influenza Vaccinations Administered, in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States, Data Source(s): IQVIA Pharmacy and Physician Medical Office Claims.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-09-28",
      "issued": "2022-09-28",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "influenza",
        "flu",
        "vaccine coverage",
        "pharmacy vaccinations",
        "physician medical office vaccinations",
        "iqvia"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-dashboard.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States (ARCHIVED)",
          "accessURL": "https://data.cdc.gov/d/uxgd-cqqc",
          "license": "Public Domain U.S. Government",
          "modified": "2022-09-28"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/v22g-tzpk",
      "title": "Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics, Adults 18 Year and Older, NIS Adult COVID Module",
      "description": "Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics, Adults 18 Year and Older, NIS Adult COVID Module\n\n• The National Immunization Survey-Adult COVID Module (NIS-ACM) was launched in April 2021 among adults 18 years and older. The survey was used to monitor COVID-19 vaccination uptake and confidence in vaccination among adults and included questions about influenza vaccination.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-05-24",
      "issued": "2022-12-07",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "vaccination",
        "flu vaccination",
        "flu",
        "adults",
        "race",
        "ethnicity",
        "vaccine coverage"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/imz-managers/nis/",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Differences in Cumulative Influenza Vaccination Coverage by Selected Demographics, Adults 18 Year and Older, NIS Adult COVID Module",
          "accessURL": "https://data.cdc.gov/d/v22g-tzpk",
          "license": "Public Domain U.S. Government",
          "modified": "2024-05-24"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/v58w-vynu",
      "title": "Respiratory Conditions Treated in the Emergency Department",
      "description": "Methods for Creating Respiratory Conditions:\n\nThe International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) discharge diagnostic codes listed in the Acute Respiratory Index (ARI) were used as a starting point to define respiratory conditions. For a list of diagnostic codes included in the ARI metric, visit the <a href=\"https://cdn.ymaws.com/www.cste.org/resource/resmgr/pdfs/CDC_Broad_Acute_Respiratory_.pdf\">Acute Respiratory Illness Technical Brief</a>.\n\nThese codes were further refined to exclude pathogen-specific codes and, when appropriate, were grouped using ICD-10-CM parent codes and <a href=\"https://hcup-us.ahrq.gov/toolssoftware/ccsr/ccs_refined.jsp#overview\">Clinical Classifications Software Refined (CCSRs)</a> categories, which organize ICD-10-CM codes into 14 clinically meaningful categories.\n\nShort codes listed capture all codes underneath them (e.g., J09 includes J09.X1–J09.X9).\n\nFindings for each of the 14 condition categories were analyzed by age group.\n\nSource: National Syndromic Surveillance Program (NSSP)\n\nThe NSSP is a collaboration among CDC, local and state health departments, and private sector partners. Together, these partners collect, share, and analyze automated electronic healthcare data in near-real time.\n\nNational data include emergency departments in all 50 states, the District of Columbia, and Guam. View the <a href=\"https://www.cdc.gov/nssp/media/images/2024/04/Participation-with-date.png\">Coverage Map</a>.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NSSP",
          "hasEmail": "mailto:nssp@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-31",
      "issued": "2025-08-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "National Center for Immunization and Respiratory Diseases"
        }
      ],
      "keyword": [
        "ophdst",
        "respiratory-virus-response",
        "rvr",
        "virus",
        "ari other",
        "bacteria",
        "ed data",
        "ncird"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Respiratory Conditions Treated in the Emergency Department",
          "accessURL": "https://data.cdc.gov/d/v58w-vynu",
          "modified": "2026-07-31"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/vbim-akqf",
      "title": "COVID-19 Case Surveillance Public Use Data [dataset description]",
      "description": "Note: Reporting of new COVID-19 Case Surveillance data will be discontinued July 1, 2024, to align with the process of removing SARS-CoV-2 infections (COVID-19 cases) from the list of nationally notifiable diseases. Although these data will continue to be publicly available, the dataset will no longer be updated.\nOverview: The COVID-19 case surveillance database includes individual-level data reported to U.S. states and autonomous reporting entities, including New York City and the District of Columbia (D.C.), as well as U.S. territories and affiliates. On April 5, 2020, COVID-19 was added to the Nationally Notifiable Condition List and classified as \"immediately notifiable, urgent (within 24 hours)\" by a Council of State and Territorial Epidemiologists (CSTE) Interim Position Statement (Interim-20-ID-01). CSTE updated the position statement on August 5, 2020, to clarify the interpretation of antigen detection tests and serologic test results within the case classification (Interim-20-ID-02). The statement also recommended that all states and territories enact laws to make COVID-19 reportable in their jurisdiction, and that jurisdictions conducting surveillance should submit case notifications to CDC. COVID-19 case surveillance data are collected by jurisdictions and reported voluntarily to CDC.\nThe deidentified data in the \"COVID-19 Case Surveillance Public Use Data\" include demographic characteristics, any exposure history, disease severity indicators and outcomes, clinical data, laboratory diagnostic test results, and presence of any underlying medical conditions and risk behaviors. All data elements can be found on the COVID-19 case report form located at www.cdc.gov/coronavirus/2019-ncov/downloads/pui-form.pdf.\nCOVID-19 Case Reports: COVID-19 case reports have been routinely submitted using nationally standardized case reporting forms. On April 5, 2020, CSTE released an Interim Position Statement with national surveillance case definitions for COVID-19 included. Current versions of these case definitions are available here: https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-2021/.\nAll cases reported on or after were requested to be shared by public health departments to CDC using the standardized case definitions for laboratory-confirmed or probable cases. On May 5, 2020, the standardized case reporting form was revised. Case reporting using this new form is ongoing among U.S. states and territories.\nAs of 2025/02/23, this dataset contained 106 million (106,000,000) rows of data. This dataset contains 12 columns of variables. Each row represents a deidentifed COVIV-19 patient.\nTo access the data, go to <a href=\"https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf/about_dat\"target=\"_blank\">https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf/about_dat</a>",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC-INFO",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-06-21",
      "issued": "2025-02-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Coronavirus\nCoronavirus Infections\nCOVID-19\nPandemics\nPopulation Surveillance\nSARS-CoV-2"
        }
      ],
      "keyword": [
        "Cases"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/103900",
        "title": "COVID-19 Case Surveillance Public Use Data [dataset description]"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC) (U.S.)"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "CDC Case Surveillance Task Force\nCenters for Disease Control and Prevention (CDC) (U.S.)"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/vbim-akqf",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/103900",
        "title": "Repository landing page and attached Data Dictionary"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "COVID-19 Case Surveillance Public Use Data [dataset description]",
          "description": "Note: Reporting of new COVID-19 Case Surveillance data will be discontinued July 1, 2024, to align with the process of removing SARS-CoV-2 infections (COVID-19 cases) from the list of nationally notifiable diseases. Although these data will continue to be publicly available, the dataset will no longer be updated.\nOverview: The COVID-19 case surveillance database includes individual-level data reported to U.S. states and autonomous reporting entities, including New York City and the District of Columbia (D.C.), as well as U.S. territories and affiliates. On April 5, 2020, COVID-19 was added to the Nationally Notifiable Condition List and classified as \"immediately notifiable, urgent (within 24 hours)\" by a Council of State and Territorial Epidemiologists (CSTE) Interim Position Statement (Interim-20-ID-01). CSTE updated the position statement on August 5, 2020, to clarify the interpretation of antigen detection tests and serologic test results within the case classification (Interim-20-ID-02). The statement also recommended that all states and territories enact laws to make COVID-19 reportable in their jurisdiction, and that jurisdictions conducting surveillance should submit case notifications to CDC. COVID-19 case surveillance data are collected by jurisdictions and reported voluntarily to CDC.\nThe deidentified data in the \"COVID-19 Case Surveillance Public Use Data\" include demographic characteristics, any exposure history, disease severity indicators and outcomes, clinical data, laboratory diagnostic test results, and presence of any underlying medical conditions and risk behaviors. All data elements can be found on the COVID-19 case report form located at www.cdc.gov/coronavirus/2019-ncov/downloads/pui-form.pdf.\nCOVID-19 Case Reports: COVID-19 case reports have been routinely submitted using nationally standardized case reporting forms. On April 5, 2020, CSTE released an Interim Position Statement with national surveillance case definitions for COVID-19 included. Current versions of these case definitions are available here: https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-2021/.\nAll cases reported on or after were requested to be shared by public health departments to CDC using the standardized case definitions for laboratory-confirmed or probable cases. On May 5, 2020, the standardized case reporting form was revised. Case reporting using this new form is ongoing among U.S. states and territories.\nAs of 2025/02/23, this dataset contained 106 million (106,000,000) rows of data. This dataset contains 12 columns of variables. Each row represents a deidentifed COVIV-19 patient.\nTo access the data, go to <a href=\"https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf/about_dat\"target=\"_blank\">https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf/about_dat</a>",
          "accessURL": "https://stacks.cdc.gov/view/cdc/103900",
          "downloadURL": "https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf/about_data",
          "format": "CSV file\nXML file\nSpreadsheet file\nAPI download",
          "mediaType": "text/csv\ntext/XML\napplication/vnd.ms-excel",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/103900",
            "title": "Repository landing page and attached Data Dictionary"
          }
        },
        {
          "@type": "Distribution",
          "title": "COVID-19 Case Surveillance Public Use Data",
          "accessURL": "https://data.cdc.gov/d/vbim-akqf",
          "license": "Public Domain U.S. Government",
          "modified": "2024-07-09"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/vdz4-qrri",
      "title": "Infant Protection Against Respiratory Syncytial Virus (RSV) by Maternal RSV Vaccination or Receipt of Nirsevimab, and Intent for Nirsevimab Receipt, United States",
      "description": "Infant Protection Against RSV by Maternal RSV Vaccination or Receipt of Nirsevimab and Intent for Nirsevimab Receipt, Reported by Females Aged 18-49 Years Who Have an Infant <8 Months During the RSV Season (born since April 1, 2024)\n\nMonthly estimates of infant protection against RSV by maternal RSV vaccination or receipt of nirsevimab, as well as intent for nirsevimab receipt, were calculated using data from the from the National Immunization Survey–Adult COVID Module (NIS–ACM). (https://www.cdc.gov/nis/about/index.html). Data were reported by adult females aged 18-49 years with infants under the age of 8 months during the RSV season (born since April 1, 2024). The NIS–ACM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. All estimates are based upon parent-reported receipt of nirsevimab.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-05-16",
      "issued": "2024-09-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Pregnancy & Vaccination"
        }
      ],
      "keyword": [
        "nis-acm",
        "vsd",
        "iis",
        "iqvia",
        "nis-flu",
        "rsv vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/rsvvaxview/",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Infant Protection Against Respiratory Syncytial Virus (RSV) by Maternal RSV Vaccination or Receipt of Nirsevimab, and Intent for Nirsevimab Receipt, United States",
          "accessURL": "https://data.cdc.gov/d/vdz4-qrri",
          "license": "Public Domain U.S. Government",
          "modified": "2025-05-16"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/vfj2-bfuw",
      "title": "Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States",
      "description": "Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States\n• Influenza vaccination coverage among children is assessed through the National Immunization Survey-Flu (NIS-Flu) annually, providing weekly influenza vaccination coverage estimates for children 6 months–17 years based upon parental report. (https://www.cdc.gov/vaccines/imz-managers/nis/about.html)\no NIS-Flu is a national random-digit-dialed cellular telephone survey of households conducted during the flu season (October-June).\n• Additional information about NIS-Flu methods and estimates from the 2019-2020 season are available at: https://www.cdc.gov/flu/fluvaxview/coverage-1920estimates.htm.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-09-28",
      "issued": "2022-09-28",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "influenza",
        "flu",
        "nis",
        "nis-flu",
        "chlidren",
        "vaccine coverage",
        "flu shot"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/dashboard/vaccination-dashboard.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Influenza Vaccination Coverage, Children 6 months through 17 years, United States",
          "accessURL": "https://data.cdc.gov/d/vfj2-bfuw",
          "license": "Public Domain U.S. Government",
          "modified": "2022-09-28"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/vh55-3he6",
      "title": "Influenza Vaccination Coverage for All Ages (6+ Months)",
      "description": "Influenza Vaccination Coverage for All Ages (6+ Months)\n\n• Data on influenza vaccination coverage from the National Immunization Survey-Flu (NIS-Flu) and the Behavioral Risk Factor Surveillance System (BRFSS) for the general population at the national, regional, and state levels by age group and race/ethnicity.\n \n• Additional information available at https://www.cdc.gov/flu/fluvaxview/index.htm",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-01-20",
      "issued": "2021-05-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Flu Vaccinations"
        }
      ],
      "keyword": [
        "influenza",
        "influenza coverage",
        "vaccination",
        "vaccination coverage",
        "vaxviews",
        "immunization",
        "flu vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/index.htm",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Influenza Vaccination Coverage for All Ages (6+ Months)",
          "accessURL": "https://data.cdc.gov/d/vh55-3he6",
          "modified": "2026-01-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/vhcj-3k53",
      "title": "Monthly Cumulative Number and Percent of Children <8 Months Who Received 1+ Monoclonal Antibody Doses by Jurisdiction, United States",
      "description": "Monthly Cumulative Percent of Children <8 Months Who Received 1+ Monoclonal Antibody by Jurisdiction, United States. RSV monoclonal antibody coverage for children 0 to 7 months is assessed through U.S. jurisdictions’ Immunization Information Systems Resources (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group. Monthly estimates shown are cumulative, reflecting all children who received an RSV monoclonal antibody from April 1 through the end of the reporting month.*,† Cumulative estimates include any historical data reported since the previous submission. National estimates are not presented since not all U.S. jurisdictions are currently reporting their IIS data to CDC. Jurisdictions reporting data to CDC include U.S. states, some localities, and territories.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-20",
      "issued": "2025-11-12",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "iqvia",
        "vsd",
        "rsv vaccination",
        "nis-acm",
        "iis"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/rsvvaxview/dashboard/monoclonal-antibody-coverage-jurisdiction.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Monthly Cumulative Number and Percent of Children <8 Months Who Received 1+ Monoclonal Antibody Doses by Jurisdiction, United States",
          "accessURL": "https://data.cdc.gov/d/vhcj-3k53",
          "license": "Public Domain U.S. Government",
          "modified": "2026-05-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/vncy-2ds7",
      "title": "Weekly Cumulative Influenza Vaccination Coverage by Flu Season, Selected Demographics, and Race and Ethnicity Among Children 6 Months-17 Years, United States",
      "description": "• Weekly Cumulative Influenza Vaccination Coverage by Flu Season, Selected Demographics, and Race and Ethnicity Among 6 Months-17 Years.\n\n• Weekly Influenza vaccination coverage and parental intent for vaccination among children is calculated using data from the National Immunization Survey–Flu (NIS–Flu) (https://www.cdc.gov/nis/about/index.html). NIS–Flu is a national random-digit-dialed cellular telephone survey of households with children ages 6 months–17 years conducted during October-June. The respondent to a NIS–Flu survey is a parent or guardian who said they were knowledgeable about the child’s vaccination history. All estimates are based upon parental report of receipt of vaccination and month of that vaccination.\n\n• The NIS-Flu data posted on the dashboard below are currently a few days behind the data that are posted on the Respiratory Illnesses Data Channel (https://www.cdc.gov/respiratory-viruses/data/index.html). This lag is due to the time it takes to review data by geographic and sociodemographic characteristics and summarize the findings.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-02",
      "issued": "2024-10-21",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Child Vaccinations"
        }
      ],
      "keyword": [
        "nis-ccm",
        "nis-flu",
        "flu vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/fluvaxview/dashboard/children-vaccination-coverage.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Influenza Vaccination Coverage by Flu Season, Selected Demographics, and Race and Ethnicity Among Children 6 Months-17 Years, United States",
          "accessURL": "https://data.cdc.gov/d/vncy-2ds7",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-02"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/vugp-mqip",
      "title": "Monthly Cumulative Number and Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction, United States",
      "description": "Monthly Cumulative Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction\n\n• Estimated Number of COVID-19 vaccinations among children 6 months–17 years and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group.\n\n • Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19. (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html)",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-08-05",
      "issued": "2024-01-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "covid-19 vaccination",
        "iis",
        "immunization information system"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/vaxview/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Monthly Cumulative Number and Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction, United States",
          "accessURL": "https://data.cdc.gov/d/vugp-mqip",
          "license": "Public Domain U.S. Government",
          "modified": "2024-08-05"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/vutn-jzwm",
      "title": "2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined",
      "description": "2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined\n<br>\nFor additional information, please see:  <a href=\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\n<br>",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NSSP",
          "hasEmail": "mailto:nssp@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Public Health Data, Surveillance, and Technology (OPHDST)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-31",
      "issued": "2023-09-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "rsv",
        "influenza",
        "emergency department",
        "ed",
        "respiratory virus response",
        "ncird",
        "covid19",
        "coronavirus",
        "rvr",
        "respiratory syncytial virus",
        "flu",
        "national syndromic surveillance program",
        "nssp",
        "ophdst"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined",
          "accessURL": "https://data.cdc.gov/d/vutn-jzwm",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-31"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/w76m-r924",
      "title": "Weekly Cumulative Estimated Number of Updated 2023-24 COVID-19 Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States, Data Source(s): IQVIA Pharmacy and Physician Medical Office Claims",
      "description": "Weekly Cumulative Estimated Number of Updated 2023-24 COVID-19 Vaccinations Administered in Pharmacies and Physical Medical Offices, Adults 18 Years and Older, United States\n\n• Estimated number of updated COVID-19 vaccinations among adults 18 years and older is assessed through IQVIA (https://www.iqvia.com/) as a source of information on vaccinations administered in retail pharmacies (include chain, mass merchandise, food stores, and independent pharmacies) and physician medical offices.\n\n• Starting in September 2023, the CDC recommended the updated 2023-2024 COVID-19 vaccine for adults ages 18 years and older.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-08-28",
      "issued": "2023-12-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "covid-19 vaccination",
        "iqvia",
        "adults"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/vaxview/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Estimated Number of Updated 2023-24 COVID-19 Vaccinations Administered in Pharmacies and Physician Medical Offices, Adults 18 years and older, United States, Data Source(s): IQVIA Pharmacy and Physician Medical Office Claims",
          "accessURL": "https://data.cdc.gov/d/w76m-r924",
          "license": "Public Domain U.S. Government",
          "modified": "2024-08-28"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/whhs-7a5d",
      "title": "Imputed Hospitalization Rate for RSV at the State Level",
      "description": "Weekly imputed RSV hospital admission rates per 100,000 population from 47 states plus DC from 2018-2024 are described. Rates were estimated by combining values from RSV-Net with those from NSSP and NHSN to obtain combined time series of RSV hospital admissions counts. States with overlapping values in both sets underwent interpolation and extrapolation procedures for estimates throughout the time series. These states were then used to impute values for states that did not have surveillance data within RSV-Net. Calculated RSV hospital admission rates (either interpolated, extrapolated, or imputed) are reported. See the GitHub for code and further description.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:corvdinformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-13",
      "issued": "2026-01-08",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Coronavirus and Other Respiratory Viruses"
        }
      ],
      "keyword": [
        "hospitalizations",
        "hospitalization rate",
        "hospitalization",
        "respiratory syncytial virus",
        "rsv",
        "rsvnet",
        "rate",
        "respiratory illness",
        "nssp",
        "surveillance",
        "respiratory disease"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://github.com/CDCGov/RSVHospitalBurdenEstimation",
        "title": "github.com"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Imputed Hospitalization Rate for RSV at the State Level",
          "accessURL": "https://data.cdc.gov/d/whhs-7a5d",
          "license": "Public Domain U.S. Government",
          "modified": "2026-05-13"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/wi5c-cscz",
      "title": "2020-2021 Nationwide Blood Donor Seroprevalence Survey Combined Infection- and Vaccination-Induced Seroprevalence Estimates",
      "description": "CDC is collaborating with the National Institutes of Health (NIH), the Food and Drug Administration (FDA), Vitalant Research Institute (VRI), Westat Inc., and numerous blood collection organizations across the United States to conduct a nationwide COVID-19 seroprevalence survey of blood donors. This is the largest nationwide COVID-19 seroprevalence survey to date. De-identified blood samples are tested for antibodies to SARS-CoV-2 to better understand the percentage of people in the United States who have antibodies against SARS-CoV-2 (the virus that causes COVID-19) and to track how this percentage changes over time. Both SARS-CoV-2 infection and COVID-19 vaccines currently used in the United States result in production of anti-spike (anti-S) antibodies but only infection results in production of anti-nucleocapsid (anti-N) antibodies. Combined seroprevalence estimates the proportion of the population with evidence of previous SARS-CoV-2 infection, COVID-19 vaccination, or both. It estimates the proportion of the population with some presumed protection against infection with the virus that causes COVID-19. The term “combined seroprevalence” refers to the combined infection- and vaccination-induced SARS-CoV-2 seroprevalences. This is the population that has  anti-S antibodies, regardless of the presence of anti-N antibodies.\n\nThis link connects to a webpage that displays the data from the Nationwide Blood Donor Seroprevalence Survey. It offers an interactive visualization available at https://covid.cdc.gov/covid-data-tracker/#nationwide-blood-donor-seroprevalence\n\nAdditional information is available at: https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/blood-bank-serosurvey.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-02-18",
      "issued": "2021-09-27",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Laboratory Surveillance"
        }
      ],
      "keyword": [
        "covid19",
        "ncird-corvd",
        "prevalence",
        "sars-cov",
        "seroprevalence",
        "coronavirus",
        "serosurveys",
        "covid",
        "covid-19",
        "laboratory"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2020-2021 Nationwide Blood Donor Seroprevalence Survey Combined Infection- and Vaccination-Induced Seroprevalence Estimates",
          "accessURL": "https://data.cdc.gov/d/wi5c-cscz",
          "license": "Public Domain U.S. Government",
          "modified": "2022-02-18"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/wtw5-4wi3",
      "title": "Monthly Cumulative Number and Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction, United States",
      "description": "Monthly Cumulative Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction\n\n• Estimated Number of COVID-19 vaccinations among children 6 months–17 years and adults is assessed through U.S. jurisdictions’ Immunization Information Systems (IIS) data, submitted from jurisdictions to CDC monthly in aggregate by age group.\n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19. (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html)",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-08-05",
      "issued": "2024-01-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "covid-19 vaccination",
        "iis",
        "immunization information system"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/vaxview/index.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Monthly Cumulative Number and Percent of Persons Who Received 1+ updated 2023-24 COVID-19 Vaccination Doses by Age Group and Jurisdiction, United States",
          "accessURL": "https://data.cdc.gov/d/wtw5-4wi3",
          "license": "Public Domain U.S. Government",
          "modified": "2024-08-05"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/xerk-pcm8",
      "title": "Vaccination Coverage among Health Care Personnel",
      "description": "Vaccination Coverage among Health Care Personnel\n\n• Data on influenza vaccination performance measurement from the National Healthcare Safety Network (NHSN) for hospital-based health care personnel (HCP) at the national and state levels by personnel group.\n\n• Additional information available at https://www.cdc.gov/flu/fluvaxview/index.htm",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-09-12",
      "issued": "2021-05-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "flu vaccination",
        "immunization",
        "vaxviews",
        "vaccination coverage",
        "vaccination",
        "influenza"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/flu/fluvaxview/index.htm",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Vaccination Coverage among Health Care Personnel",
          "accessURL": "https://data.cdc.gov/d/xerk-pcm8",
          "modified": "2024-09-12"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/xnjn-rdmd",
      "title": "Preliminary Estimates of Cumulative COVID-19 Hospitalizations by Week",
      "description": "This dataset represents preliminary weekly estimates of cumulative U.S. COVID-19 hospitalizations since the start of 2024 respiratory season. Estimates are preliminary, and use reported weekly hospitalizations among people with a laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The data are updated weekly as new COVID-19 hospitalizations are reported to CDC from the COVID-NET surveillance system and include both new admissions that occurred during the reporting week, as well as those admitted in previous weeks that may not have been included in earlier reporting. Each week CDC estimates a range (i.e., a lower estimate and an upper estimate) of COVID-19 hospitalizations that have occurred since the start of respiratory season. For details, please refer to the publications [1, 8]. \n\n<b>Note:</b> Data are preliminary and subject to change as updated data become available. Rates for recent COVID-19 hospital admissions are subject to reporting delays; as new data are received each week, previous rates are updated accordingly. The methodology used for COVID-19 burden estimation between the surveillance periods was updated to account for inclusion of additional surveillance sites, seasonal changes to adjustment factors, revised outpatient visits, illnesses and death multiplier ratios, and improvements in estimation methods [1].\n\n<b>References</b>\n1. Koumans EHA, Khan D, Trejo I, et al; Estimate of Burden of COVID-19 Workgroup. Estimated burden of COVID-19 illnesses, medical visits, hospitalizations, and deaths in the US from October 2022 to September 2024. JAMA Intern Med. Published online January 5, 2026. <a href=\"https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2843383#250739811\">Estimated Burden of COVID-19 Illnesses, Medical Visits, Hospitalizations, and Deaths in the US From October 2022 to September 2024 | Coronavirus (COVID-19) | JAMA Internal Medicine | JAMA Network</a><br>2. Reed C, Chaves SS, Daily Kirley P, et al. Estimating influenza disease burden from population-based surveillance data in the United States. PLoS One. 2015;10(3):e0118369. <a href=\"https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0118369\">Estimating Influenza Disease Burden from Population-Based Surveillance Data in the United States | PLOS One</a><br>3. Rolfes, MA, Foppa, IM, Garg, S, et al. Annual estimates of the burden of seasonal influenza in the United States: A tool for strengthening influenza surveillance and preparedness. Influenza Other Respi Viruses. 2018; 12: 132– 137. <a href=\"https://doi.org/10.1111/irv.12486\">https://doi.org/10.1111/irv.12486</a><br>4. Tokars JI, Rolfes MA, Foppa  IM, Reed C.  An evaluation and update of methods for estimating the number of influenza cases averted by vaccination in the United States. Vaccine. 2018;36(48):7331-7337. doi:10.1016/j.vaccine.2018.10.026 <br>5. Collier SA, Deng L, Adam EA, Benedict KM, Beshearse EM, Blackstock AJ, Bruce BB, Derado G, Edens C, Fullerton KE, Gargano JW, Geissler AL, Hall AJ, Havelaar AH, Hill VR, Hoekstra RM, Reddy SC, Scallan E, Stokes EK, Yoder JS, Beach MJ. Estimate of Burden and Direct Healthcare Cost of Infectious Waterborne Disease in the United States. Emerg Infect Dis. 2021 Jan;27(1):140-149. doi: 10.3201/eid2701.190676. PMID: 33350905; PMCID: PMC7774540. <br>6. Reed C, Kim IK, Singleton JA,  et al. Estimated influenza illnesses and hospitalizations averted by vaccination–United States, 2013-14 influenza season. MMWR Morb Mortal Wkly Rep. 2014 Dec 12;63(49):1151-4. https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6349a2.htm <br>7. Reed C, Angulo FJ, Swerdlow DL, et al. Estimates of the Prevalence of Pandemic (H1N1) 2009, United States, April–July 2009. Emerg Infect Dis. 2009;15(12):2004-2007.<a href=\"https://dx.doi.org/10.3201/eid1512.091413\">https://dx.doi.org/10.3201/eid1512.091413</a> <br>8. Devine O, Pham H, Gunnels B, Reese HE, Steele M, Couture A, Iuliano D, Sachdev D, Alden NB, Meek J, Witt L,",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-24",
      "issued": "2024-09-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Public Health Surveillance"
        }
      ],
      "keyword": [
        "coronavirus",
        "covid-19",
        "hospitalizations"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Preliminary Estimates of Cumulative COVID-19 Hospitalizations by Week",
          "accessURL": "https://data.cdc.gov/d/xnjn-rdmd",
          "license": "Public Domain U.S. Government",
          "modified": "2026-07-24"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/xwa7-cukt",
      "title": "COVID-19 Deaths Among Healthcare Personnel, by week - ARCHIVED",
      "description": "COVID-19 Deaths Among Healthcare Personnel, by week",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-09-18",
      "issued": "2023-08-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Case Surveillance"
        }
      ],
      "keyword": [
        "covid-19",
        "coronavirus",
        "healthcare worker",
        "ncird-corvd",
        "healthcare personnel",
        "deaths"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "COVID-19 Deaths Among Healthcare Personnel, by week - ARCHIVED",
          "accessURL": "https://data.cdc.gov/d/xwa7-cukt",
          "modified": "2023-09-18"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/yctb-fv7w",
      "title": "Cumulative Percentage of Children Ages 6 Months -17 Years Who Are Up to Date with the Updated 2023-24 COVID-19 Vaccine",
      "description": "• COVID-19 vaccination coverage among children 6 months to 17 years is assessed through the National Immunization Survey providing weekly COVID-19 vaccination coverage estimates (https://www.cdc.gov/vaccines/imz-managers/nis/about.html).\n\n• Weekly estimates of COVID-19 vaccination coverage and parental intent for vaccination among children through December 31, 2023, were calculated using data from the National Immunization Survey-Child COVID Module (NIS-CCM) (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-ccm). Beginning January 2, 2024, the NIS-CCM was discontinued, and questions regarding receipt of COVID-19 vaccination among children were added to the NIS-Flu (https://www.cdc.gov/vaccines/imz-managers/nis/about.html#nis-cim).\n\n• Starting in September 2023, the CDC recommended the 2023-2024 updated COVID-19 vaccine to protect against serious illness from COVID-19 (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-08-28",
      "issued": "2023-11-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Child Vaccinations"
        }
      ],
      "keyword": [
        "nis",
        "covid-19 vaccination"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccines/imz-managers/coverage/covidvaxview/interactive/children-coverage-vaccination.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Cumulative Percentage of Children Ages 6 Months -17 Years Who Are Up to Date with the Updated 2023-24 COVID-19 Vaccine",
          "accessURL": "https://data.cdc.gov/d/yctb-fv7w",
          "license": "Public Domain U.S. Government",
          "modified": "2024-08-28"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/ysd3-txwj",
      "title": "Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, by Influenza Season and Age Group, Adults 18 years and older, United States",
      "description": "• Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, by Flu Season, Adults 18 Years and Older, United States.\n \n• The projected pharmacy estimates are based on IQVIA†,‡ Longitudinal Prescription Claims (LRx) and vaccinations administered in retail pharmacies (including chain, mass merchandise, food stores, and independent pharmacies).§ The projected physicians’ medical offices estimates are based on IQVIA’s Medical Claims (Dx)±.\n\n• Vaccinations administered in workplaces, community locations, long-term care settings, and other medical settings such as public health clinics are not represented in these data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD",
          "hasEmail": "mailto:VaxView@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-20",
      "issued": "2024-09-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Flu Vaccinations"
        }
      ],
      "keyword": [
        "nis-acm",
        "vsd",
        "iqvia",
        "nis-flu",
        "flu vaccination",
        "nis-child",
        "doses distributed",
        "cms",
        "iis-child",
        "iis-adult"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/fluvaxview/dashboard/adult-vaccinations-administered.html",
        "title": "cdc.gov"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly Cumulative Estimated Number of Influenza Vaccinations Administered in Retail Pharmacies and Physicians’ Medical Offices, by Influenza Season and Age Group, Adults 18 years and older, United States",
          "accessURL": "https://data.cdc.gov/d/ysd3-txwj",
          "license": "Public Domain U.S. Government",
          "modified": "2026-05-20"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/d/yviw-z6j5",
      "title": "Weekly United States COVID-19 Cases and Deaths by County - ARCHIVED",
      "description": "<b>Note:</b>\nThe cumulative case count for some counties (with small population) is higher than expected due to the inclusion of non-permanent residents in COVID-19 case counts.\n\nReporting of Aggregate Case and Death Count data was discontinued on May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.\n\n<b>Aggregate Data Collection Process\nSince the beginning of the COVID-19 pandemic, data were reported through a robust process with the following steps:</b><ul><li>Aggregate county-level counts were obtained indirectly, via automated overnight web collection, or directly, via a data submission process.</li><li>If more than one official county data source existed, CDC used a comprehensive data selection process comparing each official county data source to retrieve the highest case and death counts, unless otherwise specified by the state.</li><li>A CDC data team reviewed counts for congruency prior to integration. CDC routinely compiled these data and post the finalized information on COVID Data Tracker.</li><li>Cases and deaths are based on date of report and not on the date of symptom onset. CDC calculates rates in this data by using population estimates provided by the US Census Bureau Population Estimates Program (2019 Vintage).</li><li>COVID-19 aggregate case and death data were organized in a time series that includes cumulative number of cases and deaths as reported by a jurisdiction on a given date.  New case and death counts were calculated as the week-to-week change in reported cumulative cases and deaths (i.e., newly reported cases and deaths = cumulative number of cases/deaths reported this week minus the cumulative total reported the week before.</li></ul>\n\nThis process was collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provided the most up-to-date numbers on cases and deaths by report date. Throughout data collection, CDC retrospectively updated counts to correct known data quality issues. CDC also worked with jurisdictions after the end of the public health emergency declaration to finalize county data.\n<ul><li><b>Source:</b> The weekly archived dataset is based on county-level aggregate count data</li><li><b>Confirmed/Probable Cases/Death breakdown:</b> Cumulative cases and deaths for each county are included.  Total reported cases include probable and confirmed cases.</li><li><b>Time Series Frequency:</b> The weekly archived dataset contains weekly time series data (i.e., one record per week per county)</li></ul>\n \n<b>Important note:</b> The counts reflected during a given time period in this dataset may not match the counts reflected for the same time period in the daily archived dataset noted above. Discrepancies may exist due to differences between county and state COVID-19 case surveillance and reconciliation efforts.\n\nThe surveillance case definition for COVID-19, a nationally notifiable disease, was first described in a <a href=\"https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-covid-19/\">position statement</a> from the Council for State and Territorial Epidemiologists, which was later <a href=\"https://ndc.services.cdc.gov/case-definitions/coronavirus-disease-2019-covid-19/\">revised</a>. However, there is some variation in how jurisdictions implement these case classifications. More information on how CDC collects COVID-19 case surveillance data can be found at <a href=\"https://www.cdc.gov/coronavirus/2019-ncov/covid-data/faq-surveillance.html\">FAQ: COVID-19 Data and Surveillance</a>.\n\n<b>Confirmed and Probable Counts</b>\nIn this dataset, counts by jurisdiction are not displayed by confirmed or probable status. Instead, counts of confirmed and probable cases and deaths are included in the Total Cases and Total Deaths columns, when available. Not all jurisdictions report",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-CORVD",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention (CDC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-07-10",
      "issued": "2023-06-06",
      "keyword": [
        "surveillance",
        "covid-19",
        "covid"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Weekly United States COVID-19 Cases and Deaths by County - ARCHIVED",
          "accessURL": "https://data.cdc.gov/d/yviw-z6j5",
          "modified": "2023-07-10"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://data.cdc.gov/dataset/ARPSP-IQVIA-Antibiotic-Use/533q-q3rp",
      "title": "AR&PSP IQVIA Antibiotic Use dataset/API",
      "description": "Public CDC dataset / api providing data or related information from IQVIA for Outpatient antibiotic use from antibiotic prescriptions dispensed in U.S. retail pharmacies.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "AR&PSP",
          "hasEmail": "mailto:arpsp@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Healthcare Quality Promotion (DHQP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Outpatient antibiotic use"
        }
      ],
      "keyword": [
        "Outpatient antibiotic use",
        "Dataset / API",
        "DHQP",
        "IQVIA"
      ],
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://arpsp.cdc.gov/about",
        "title": "AR&PSP About the Data and Downloads"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "AR&PSP IQVIA Antibiotic Use dataset/API",
          "description": "Access point for AR&PSP IQVIA Antibiotic Use dataset/API.",
          "accessURL": "https://data.cdc.gov/dataset/ARPSP-IQVIA-Antibiotic-Use/533q-q3rp",
          "format": "Dataset / API",
          "accessService": [
            {
              "@type": "DataService",
              "@id": "https://data.cdc.gov/api/v3/views/533q-q3rp/query.json",
              "title": "AR&PSP IQVIA Antibiotic Use Socrata API",
              "endpointURL": [
                "https://data.cdc.gov/resource/533q-q3rp.json"
              ],
              "endpointDescription": [
                "https://dev.socrata.com/foundry/data.cdc.gov/533q-q3rp"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "AR&PSP",
                  "hasEmail": "mailto:arpsp@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "NCEZID"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@id": "https://data.cms.gov/data-api/v1/dataset/0029a216-703d-4700-b94c-5b12455efab3/data-viewer",
      "@type": "Dataset",
      "title": "Hospice Enrollments : 2025-04-01",
      "description": "The Hospice Enrollments dataset provides enrollment information of all hospices currently enrolled in Medicare. This data includes information on the hospice's legal business name, doing business as name, organization type and address.",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare and Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "@type": "Kind",
        "fn": "Provider Enrollment Data Requests - CPI",
        "hasEmail": "mailto:ProviderEnrollmentDataRequests@cms.hhs.gov"
      },
      "identifier": "https://data.cms.gov/data-api/v1/dataset/0029a216-703d-4700-b94c-5b12455efab3/data-viewer",
      "accessRights": "public",
      "sourceSite": "data.cms.gov",
      "sourceCatalog": "https://data.cms.gov/data.json",
      "modified": "2025-05-15",
      "language": [
        "en"
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2025-04-01",
          "endDate": "2025-06-30"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Hospice Enrollments",
        "accessURL": "https://data.cms.gov/provider-characteristics/hospitals-and-other-facilities/hospice-enrollments"
      },
      "describedBy": {
        "@type": "Distribution",
        "title": "Hospice Enrollments Data Dictionary Q2 2023-Q2 2026",
        "downloadURL": "https://data.cms.gov/sites/default/files/2023-03/f736ce50-3d6b-4ee2-802f-2e5424ae71ac/Hospice_Enrollments_Data_Dictionary.pdf",
        "mediaType": "application/pdf"
      },
      "keyword": [
        "Medicare",
        "Original Medicare",
        "Medicare Advantage",
        "Hospitals & Facilities",
        "Hospice",
        "Provider Enrollment"
      ],
      "theme": [
        "Medicare"
      ],
      "accrualPeriodicity": "quarterly",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "references": [
        "https://data.cms.gov/sites/default/files/2026-07/Hospice_Data_Guidance_0.pdf"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/sites/default/files/2025-05/211d1216-e745-44f7-b717-724d04f78dbd/Hospice_Enrollments_2025.04.01.csv",
          "mediaType": "text/csv",
          "format": "CSV",
          "resourcesAPI": "https://data.cms.gov/data-api/v1/dataset-resources/0029a216-703d-4700-b94c-5b12455efab3",
          "title": "Hospice Enrollments : 2025-04-01",
          "modified": "2025-05-15",
          "temporal": [
            {
              "@type": "PeriodOfTime",
              "startDate": "2025-04-01",
              "endDate": "2025-06-30"
            }
          ],
          "license": "https://www.usa.gov/government-works"
        },
        {
          "@type": "Distribution",
          "format": "API",
          "accessURL": "https://data.cms.gov/data-api/v1/dataset/0029a216-703d-4700-b94c-5b12455efab3/data",
          "resourcesAPI": "https://data.cms.gov/data-api/v1/dataset-resources/0029a216-703d-4700-b94c-5b12455efab3",
          "title": "Hospice Enrollments : 2025-04-01",
          "modified": "2025-05-15",
          "temporal": [
            {
              "@type": "PeriodOfTime",
              "startDate": "2025-04-01",
              "endDate": "2025-06-30"
            }
          ],
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "inSeries": [
        {
          "@id": "https://data.cms.gov/data-api/v1/dataset/25704213-e833-4b8b-9dbc-58dd17149209/data",
          "@type": "DatasetSeries",
          "title": "Hospice Enrollments",
          "description": "The Hospice Enrollments dataset provides enrollment information of all hospices currently enrolled in Medicare. This data includes information on the hospice's legal business name, doing business as name, organization type and address.",
          "publisher": {
            "@type": "Organization",
            "name": "Office of Enterprise Data and Analytics (OEDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "Centers for Medicare and Medicaid Services (CMS)"
              }
            ]
          },
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Provider Enrollment Data Requests - CPI",
              "hasEmail": "mailto:ProviderEnrollmentDataRequests@cms.hhs.gov"
            }
          ],
          "identifier": "https://data.cms.gov/data-api/v1/dataset/25704213-e833-4b8b-9dbc-58dd17149209/data"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@id": "https://data.cms.gov/data-api/v1/dataset/004679c8-115c-4955-a6d8-f008f57d6b8c/data-viewer",
      "@type": "Dataset",
      "title": "Monthly Prescription Drug Plan Formulary and Pharmacy Network Information : 2023-09-08",
      "description": "The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information files contain formulary and pharmacy network data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). These non-identifiable files are available on a monthly basis and are comprised of the following tables:Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type.Geographic Locator - MA and Prescription Drug Plans region codes and county codes.Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, prior authorization, and a newly added Selected Drug flag.Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only).Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies.Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators, and brand, generic, and selected drug dispensing fees for 30/60/90 days supply, respectively.Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan.Insulin Beneficiary Cost File - Plan level copay and coinsurance amounts for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information is also available to access for the quarterly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2026 data is available in the October, November and December 2025 monthly files. Year 2026 data continues to be available in the January through September 2026 monthly files, then beginning in October of 2026 year 2027 data becomes available.Estimated release dates for upcoming monthly data (files reflect data for the month in which the file is released):10/15/2611/25/2612/23/261/20/272/17/273/17/274/28/275/26/276/23/277/21/278/18/279/29/27Files older than contract year 2019 can be purchased.",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare and Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "@type": "Kind",
        "fn": "Plan Finder - CM",
        "hasEmail": "mailto:planfinderqa@cms.hhs.gov"
      },
      "identifier": "https://data.cms.gov/data-api/v1/dataset/004679c8-115c-4955-a6d8-f008f57d6b8c/data-viewer",
      "accessRights": "public",
      "sourceSite": "data.cms.gov",
      "sourceCatalog": "https://data.cms.gov/data.json",
      "modified": "2023-12-14",
      "language": [
        "en"
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2023-09-01",
          "endDate": "2023-09-30"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Monthly Prescription Drug Plan Formulary and Pharmacy Network Information",
        "accessURL": "https://data.cms.gov/provider-summary-by-type-of-service/medicare-part-d-prescribers/monthly-prescription-drug-plan-formulary-and-pharmacy-network-information"
      },
      "describedBy": {
        "@type": "Distribution",
        "title": "Monthly Prescription Drug Plan Formulary and Pharmacy Network Information Data Dictionary Jan 2019-Sep 2024",
        "downloadURL": "https://data.cms.gov/sites/default/files/2023-12/adc0c0e2-7aec-41b0-9bf7-351c57440a08/PUFRecordLayout-2024.pdf",
        "mediaType": "application/pdf"
      },
      "keyword": [
        "Medicare",
        "Medicare Advantage",
        "Medicare Prescription Drug",
        "All Other Provider Care Types",
        "Drugs",
        "Health Care Use & Payments"
      ],
      "theme": [
        "Medicare"
      ],
      "accrualPeriodicity": "monthly",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "references": [
        "https://data.cms.gov/sites/default/files/2025-10/8f1d8b42-bfd1-4f9c-b86d-b92af0c6f3d5/Methodology-PUF-2026.pdf"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/sites/default/files/2023-11/df324831-85ef-469f-a52c-45937d09208f/2023_20230908.zip",
          "mediaType": "application/zip",
          "format": "ZIP",
          "resourcesAPI": "https://data.cms.gov/data-api/v1/dataset-resources/004679c8-115c-4955-a6d8-f008f57d6b8c",
          "title": "Monthly Prescription Drug Plan Formulary and Pharmacy Network Information : 2023-09-08",
          "modified": "2023-12-14",
          "temporal": [
            {
              "@type": "PeriodOfTime",
              "startDate": "2023-09-01",
              "endDate": "2023-09-30"
            }
          ],
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "inSeries": [
        {
          "@id": "https://data.cms.gov/data-api/v1/dataset/cb2a224f-4d52-4cae-aa55-8c00c671384f/data",
          "@type": "DatasetSeries",
          "title": "Monthly Prescription Drug Plan Formulary and Pharmacy Network Information",
          "description": "The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information files contain formulary and pharmacy network data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). These non-identifiable files are available on a monthly basis and are comprised of the following tables:Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type.Geographic Locator - MA and Prescription Drug Plans region codes and county codes.Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, prior authorization, and a newly added Selected Drug flag.Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only).Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies.Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators, and brand, generic, and selected drug dispensing fees for 30/60/90 days supply, respectively.Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan.Insulin Beneficiary Cost File - Plan level copay and coinsurance amounts for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information is also available to access for the quarterly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2026 data is available in the October, November and December 2025 monthly files. Year 2026 data continues to be available in the January through September 2026 monthly files, then beginning in October of 2026 year 2027 data becomes available.Estimated release dates for upcoming monthly data (files reflect data for the month in which the file is released):10/15/2611/25/2612/23/261/20/272/17/273/17/274/28/275/26/276/23/277/21/278/18/279/29/27Files older than contract year 2019 can be purchased.",
          "publisher": {
            "@type": "Organization",
            "name": "Office of Enterprise Data and Analytics (OEDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "Centers for Medicare and Medicaid Services (CMS)"
              }
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          "description": "The CMS Program Statistics - Original Medicare Enrollment tables provide data on characteristics of the Original Medicare population. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL AB 9. Original Medicare Enrollment: Part A and/or Part B Total, Aged, and Disabled Enrollees, Yearly Trend MDCR ENROLL AB 10. Original Medicare Enrollment: Part A and/or Part B Enrollees, by Age Group, Yearly Trend MDCR ENROLL AB 11. Original Medicare Enrollment: Part A and/or Part B Enrollees, by Demographic Characteristics MDCR ENROLL AB 12. Original Medicare Enrollment: Part A and/or Part B Enrollees, by Type of Entitlement and Demographic Characteristics MDCR ENROLL AB 13. Original Medicare Enrollment: Part A and/or Part B Total, Aged, and Disabled Enrollees, by Area of Residence MDCR ENROLL AB 14. Original Medicare Enrollment: Part A and/or Part B Enrollees, by Type of Entitlement and Area of Residence",
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      "description": "The CMS Program Statistics - Medicare Part D tables provide use and Part D drug costs by type of Part D plan (stand-alone prescription drug plan and Medicare Advantage prescription drug plan). For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR UTLZN D 1. Medicare Part D Utilization: Average Annual Prescription Drug Fills by Type of Plan, Low Income Subsidy (LIS) Eligibility, and Generic Dispensing Rate, Yearly Trend MDCR UTLZN D 2. Medicare Part D Utilization: Average Annual Gross Drug Costs Per Part D Enrollee, by Type of Plan, Low Income Subsidy (LIS) Eligibility, and Brand/Generic Drug Classification, Yearly Trend MDCR UTLZN D 3. Medicare Part D Utilization: Average Annual Gross Drug Costs Per Part D Enrollee, by Type of Plan, Low Income Subsidy (LIS) Eligibility, and Brand/Generic Drug Classification, Yearly Trend MDCR UTLZN D 4. Medicare Part D Utilization: Average Annual Prescription Drug Fills and Average Annual Gross Drug Cost Per Part D Enrollee, by Type of Plan and Demographic Characteristics MDCR UTLZN D 5. Medicare Part D Utilization: Average Annual Prescription Drug Fills and Average Annual Gross Drug Cost Per Part D Utilizer, by Type of Plan and Demographic Characteristics MDCR UTLZN D 6. Medicare Part D Utilization: Average Annual Prescription Drug Fills and Average Annual Gross Drug Cost Per Part D Enrollee, by Type of Plan, by Area of Residence MDCR UTLZN D 7. Medicare Part D Utilization: Average Annual Prescription Drug Fills and Average Annual Gross Drug Cost Per Part D Utilizer, by Type of Plan, by Area of Residence MDCR UTLZN D 8. Medicare Part D Utilization: Number of Part D Utilizers and Average Annual Prescription Drug Fills by Type of Part D Plan, Low Income Subsidy (LIS) Eligibility, and Part D Coverage Phase, Yearly Trend MDCR UTLZN D 9. Medicare Part D Utilization: Number of Part D Utilizers and Drug Costs by Type of Part D Plan, Low Income Subsidy (LIS) Eligibility, and Part D Coverage Phase, Yearly Trend MDCR UTLZN D 10. Medicare Part D Utilization: Number of Part D Utilizers, Average Annual Prescription Drug Events (Fills) and Average Annual Gross Drug Cost Per Part D Utilizer, by Part D Coverage Phase and Demographic Characteristics MDCR UTLZN D 11. Medicare Part D Utilization: Number of Part D Utilizers, Average Annual Prescription Drug Fills and Average Annual Gross Drug Cost Per Part D Utilizer, by Part D Coverage Phase and Area of Residence",
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      "keyword": [
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      "description": "The CMS Program Statistics - Medicare Part A & Part B - All Types of Service tables provide use and payment data by type of coverage and type of service. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR SUMMARY AB 1. Medicare Part A and Part B Summary: Utilization, Program Payments, and Cost Sharing for All Original Medicare Beneficiaries, by Type of Coverage and Type of Service, Yearly Trend MDCR SUMMARY AB 2. Medicare Part A and Part B Summary: Utilization, Program Payments, and Cost Sharing for Aged Original Medicare Beneficiaries, by Type of Coverage and Type of Service, Yearly Trend MDCR SUMMARY AB 3. Medicare Part A and Part B Summary: Utilization, Program Payments, and Cost Sharing for Disabled Original Medicare Beneficiaries by Type of Coverage and Type of Service, Yearly Trend MDCR SUMMARY AB 4. Medicare Part A and Part B Summary: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Coverage, Demographic Characteristics, and Medicare-Medicaid Enrollment Status MDCR SUMMARY AB 5. Medicare Part A and Part B Summary: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Coverage and by Area of Residence MDCR SUMMARY AB 6. Medicare Part A and Part B Summary: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement, Amount of Program Payments, Type of Coverage, and Type of Service",
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      "description": "The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information files contain formulary and pharmacy network data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). These non-identifiable files are available on a monthly basis and are comprised of the following tables:Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type.Geographic Locator - MA and Prescription Drug Plans region codes and county codes.Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, prior authorization, and a newly added Selected Drug flag.Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only).Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies.Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators, and brand, generic, and selected drug dispensing fees for 30/60/90 days supply, respectively.Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan.Insulin Beneficiary Cost File - Plan level copay and coinsurance amounts for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information is also available to access for the quarterly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2026 data is available in the October, November and December 2025 monthly files. Year 2026 data continues to be available in the January through September 2026 monthly files, then beginning in October of 2026 year 2027 data becomes available.Estimated release dates for upcoming monthly data (files reflect data for the month in which the file is released):10/15/2611/25/2612/23/261/20/272/17/273/17/274/28/275/26/276/23/277/21/278/18/279/29/27Files older than contract year 2019 can be purchased.",
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          "description": "The Accountable Care Organizations (ACOs) data provides information on ACOs participating in the Medicare Shared Savings Program (Shared Savings Program), including their name, track status, number of years in the program, and contact information for key personnel.",
          "publisher": {
            "@type": "Organization",
            "name": "Office of Enterprise Data and Analytics (OEDA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "Centers for Medicare and Medicaid Services (CMS)"
              }
            ]
          },
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Shared Savings Program - CM",
              "hasEmail": "mailto:SharedSavingsProgram@cms.hhs.gov"
            }
          ],
          "identifier": "https://data.cms.gov/data-api/v1/dataset/69ec2609-5ce5-4ce1-b14c-1f8809fda2c2/data"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@id": "https://data.cms.gov/data-api/v1/dataset/0edc5dda-97b1-4afb-b754-078d93ba4481/data-viewer",
      "@type": "Dataset",
      "title": "CMS Program Statistics - Medicare Hospice : 2016-12-31",
      "description": "The CMS Program Statistics - Medicare Hospice tables provide use and payment data for hospice. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR HOSPICE 1. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR HOSPICE 2. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR HOSPICE 3. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Area of Residence MDCR HOSPICE 4. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Type of Control and Type of Service Visit MDCR HOSPICE 5. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Level of Care and Site of Service MDCR HOSPICE 6. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Number of Service Visits",
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      },
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      ],
      "landingPage": {
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      },
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        "States & Territories",
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        "Health Equity"
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          "description": "The CMS Program Statistics - Medicare Hospice tables provide use and payment data for hospice. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR HOSPICE 1. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR HOSPICE 2. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR HOSPICE 3. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Area of Residence MDCR HOSPICE 4. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Type of Control and Type of Service Visit MDCR HOSPICE 5. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Level of Care and Site of Service MDCR HOSPICE 6. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Number of Service Visits",
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      "@type": "Dataset",
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      "description": "The CMS Program Statistics - Medicare Total Enrollment tables provide data on characteristics of the Medicare-covered populations. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL AB 1. Total Medicare Enrollment: Total, Original Medicare, and Medicare Advantage and Other Health Plan Enrollment, Yearly Trend MDCR ENROLL AB 2. Total Medicare Enrollment: Total, Original Medicare, Medicare Advantage and Other Health Plan Enrollment, and Resident Population, by Area of Residence MDCR ENROLL AB 3. Total Medicare Enrollment: Part A and/or Part B Total, Aged, and Disabled Enrollees, Yearly Trend MDCR ENROLL AB 4. Total Medicare Enrollment: Part A and/or Part B Enrollees, by Age Group, Yearly Trend MDCR ENROLL AB 5. Total Medicare Enrollment: Part A and/or Part B Enrollees, by Demographic Characteristics MDCR ENROLL AB 6. Total Medicare Enrollment: Part A and/or Part B Enrollees, by Type of Entitlement and Demographic Characteristics MDCR ENROLL AB 7. Total Medicare Enrollment: Part A and/or Part B Total, Aged, and Disabled Enrollees, by Area of Residence MDCR ENROLL AB 8. Total Medicare Enrollment: Part A and/or Part B Enrollees, by Type of Entitlement and Area of Residence",
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        "name": "Office of Enterprise Data and Analytics (OEDA)",
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        }
      ],
      "landingPage": {
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        "title": "CMS Program Statistics - Medicare Total Enrollment",
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      "keyword": [
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      "inSeries": [
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          "description": "The CMS Program Statistics - Medicare Total Enrollment tables provide data on characteristics of the Medicare-covered populations. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL AB 1. Total Medicare Enrollment: Total, Original Medicare, and Medicare Advantage and Other Health Plan Enrollment, Yearly Trend MDCR ENROLL AB 2. Total Medicare Enrollment: Total, Original Medicare, Medicare Advantage and Other Health Plan Enrollment, and Resident Population, by Area of Residence MDCR ENROLL AB 3. Total Medicare Enrollment: Part A and/or Part B Total, Aged, and Disabled Enrollees, Yearly Trend MDCR ENROLL AB 4. Total Medicare Enrollment: Part A and/or Part B Enrollees, by Age Group, Yearly Trend MDCR ENROLL AB 5. Total Medicare Enrollment: Part A and/or Part B Enrollees, by Demographic Characteristics MDCR ENROLL AB 6. Total Medicare Enrollment: Part A and/or Part B Enrollees, by Type of Entitlement and Demographic Characteristics MDCR ENROLL AB 7. Total Medicare Enrollment: Part A and/or Part B Total, Aged, and Disabled Enrollees, by Area of Residence MDCR ENROLL AB 8. Total Medicare Enrollment: Part A and/or Part B Enrollees, by Type of Entitlement and Area of Residence",
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      "inventoried": "2026-09-27"
    },
    {
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      "@type": "Dataset",
      "title": "Revalidation Due Date List : 2023-09-01",
      "description": "The Revalidation Due Date List dataset contains revalidation due dates for Medicare providers who are due to revalidate in the following six months. If a provider's due date does not fall within the ensuing six months, the due date is marked 'TBD'. In addition the dataset also includes subfiles with reassignment information for a given provider as well as due date listings for clinics and group practices and their providers.",
      "publisher": {
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        "name": "Office of Enterprise Data and Analytics (OEDA)",
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      },
      "contactPoint": {
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        "fn": "Provider Enrollment Data Requests - CPI",
        "hasEmail": "mailto:ProviderEnrollmentDataRequests@cms.hhs.gov"
      },
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      "accessRights": "public",
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      "landingPage": {
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        "downloadURL": "https://data.cms.gov/resources/revalidation-due-date-list-data-dictionary"
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      "keyword": [
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        "Original Medicare",
        "Medicare Advantage",
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      "theme": [
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      "accrualPeriodicity": "monthly",
      "accessLevel": "public",
      "bureauCode": [
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      "programCode": [
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      ],
      "references": [
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      "distribution": [
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      ],
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          "description": "The Revalidation Due Date List dataset contains revalidation due dates for Medicare providers who are due to revalidate in the following six months. If a provider's due date does not fall within the ensuing six months, the due date is marked 'TBD'. In addition the dataset also includes subfiles with reassignment information for a given provider as well as due date listings for clinics and group practices and their providers.",
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      "title": "Fiscal Intermediary Shared System Attending and Rendering : 2024-04-02",
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          "resourcesAPI": "https://data.cms.gov/data-api/v1/dataset-resources/38a88cf5-df2f-4adf-9aa7-55b06b701a32",
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            "title": "Data dictionary for Opioid Treatment Program Providers : 2023-07-19",
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          "title": "Opioid Treatment Program Providers",
          "description": "The Opioid Treatment Program (OTP) Providers dataset provides information on Providers who have enrolled in Medicare under the Opioid Treatment Program. It contains provider's name, National Provider Identifier (NPI), address, phone number and the effective enrollment date.",
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      "title": "Monthly Prescription Drug Plan Formulary and Pharmacy Network Information : 2020-11-06",
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          }
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      },
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        "fn": "Plan Finder - CM",
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      },
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        }
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      "title": "Provider of Services File - Quality Improvement and Evaluation System : 2012-12-31",
      "description": "The Provider of Services File (POS) - Quality Improvement and Evaluation System (QIES) data provides provider demographic and associated certification information for hospital & non-hospital facilities along with the provider number (CMS Certification Number), name, address, and other characteristics of the participating providers.",
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      "title": "CMS Program Statistics - Medicare Hospice : 2017-12-31",
      "description": "The CMS Program Statistics - Medicare Hospice tables provide use and payment data for hospice. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR HOSPICE 1. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR HOSPICE 2. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR HOSPICE 3. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Area of Residence MDCR HOSPICE 4. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Type of Control and Type of Service Visit MDCR HOSPICE 5. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Level of Care and Site of Service MDCR HOSPICE 6. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Number of Service Visits",
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      "description": "The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information files contain formulary and pharmacy network data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). These non-identifiable files are available on a monthly basis and are comprised of the following tables:Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type.Geographic Locator - MA and Prescription Drug Plans region codes and county codes.Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, prior authorization, and a newly added Selected Drug flag.Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only).Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies.Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators, and brand, generic, and selected drug dispensing fees for 30/60/90 days supply, respectively.Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan.Insulin Beneficiary Cost File - Plan level copay and coinsurance amounts for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information is also available to access for the quarterly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2026 data is available in the October, November and December 2025 monthly files. Year 2026 data continues to be available in the January through September 2026 monthly files, then beginning in October of 2026 year 2027 data becomes available.Estimated release dates for upcoming monthly data (files reflect data for the month in which the file is released):10/15/2611/25/2612/23/261/20/272/17/273/17/274/28/275/26/276/23/277/21/278/18/279/29/27Files older than contract year 2019 can be purchased.",
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      "description": "The CMS Program Statistics - Medicare Physician, Non-Physician Practitioner and Supplier tables provide use and payment data for physicians, other practitioners, limited-licensed practitioners, and durable medical equipment, prosthetic, and orthotic (DMEPOS) suppliers. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR PHYSSUPP 1. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, Cost Sharing, and Balance Billing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR PHYSSUPP 2. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, Cost Sharing, and Balance Billing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PHYSSUPP 3. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, Cost Sharing, and Balance Billing for Original Medicare Beneficiaries, by Area of Residence MDCR PHYSSUPP 4. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, and Balance Billing for Original Medicare Beneficiaries, by Type of Service MDCR PHYSSUPP 5. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, and Balance Billing for Original Medicare Beneficiaries, by Place of Service MDCR PHYSSUPP 6. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, and Balance Billing for Original Medicare Beneficiaries, by Physician Specialty MDCR PHYSSUPP 7. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization and Program Payments for Original Medicare Beneficiaries, by Restructured BETOS Classification System (RBCS) Category and Subcategory (for data year 2022 and onward) and by BETOS Classification (for data years 2013 – 2021)",
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "Monthly Prescription Drug Plan Formulary and Pharmacy Network Information",
        "accessURL": "https://data.cms.gov/provider-summary-by-type-of-service/medicare-part-d-prescribers/monthly-prescription-drug-plan-formulary-and-pharmacy-network-information"
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        "Drugs",
        "Health Care Use & Payments"
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      "references": [
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          "@type": "DatasetSeries",
          "title": "Monthly Prescription Drug Plan Formulary and Pharmacy Network Information",
          "description": "The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information files contain formulary and pharmacy network data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). These non-identifiable files are available on a monthly basis and are comprised of the following tables:Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type.Geographic Locator - MA and Prescription Drug Plans region codes and county codes.Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, prior authorization, and a newly added Selected Drug flag.Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only).Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies.Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators, and brand, generic, and selected drug dispensing fees for 30/60/90 days supply, respectively.Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan.Insulin Beneficiary Cost File - Plan level copay and coinsurance amounts for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information is also available to access for the quarterly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2026 data is available in the October, November and December 2025 monthly files. Year 2026 data continues to be available in the January through September 2026 monthly files, then beginning in October of 2026 year 2027 data becomes available.Estimated release dates for upcoming monthly data (files reflect data for the month in which the file is released):10/15/2611/25/2612/23/261/20/272/17/273/17/274/28/275/26/276/23/277/21/278/18/279/29/27Files older than contract year 2019 can be purchased.",
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          "contactPoint": [
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              "fn": "Plan Finder - CM",
              "hasEmail": "mailto:planfinderqa@cms.hhs.gov"
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          ],
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    },
    {
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      "@type": "Dataset",
      "title": "CMS Program Statistics - Medicare Home Health Agency : 2014-12-31",
      "description": "The Medicare Home Health Agency tables provide use and payment data for home health agencies. The tables include use and expenditure data from home health Part A (Hospital Insurance) and Part B (Medical Insurance) claims. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR HHA 1. Medicare Home Health Agencies: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR HHA 2. Medicare Home Health Agencies: Utilization and Program Payments for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR HHA 3. Medicare Home Health Agencies: Utilization and Program Payments for Original Medicare Beneficiaries, by Area of Residence MDCR HHA 4. Medicare Home Health Agencies: Persons with Utilization and Total Service Visits for Original Medicare Beneficiaries, Type of Agency and Type of Service Visit MDCR HHA 5. Medicare Home Health Agencies: Persons with Utilization and Total Service Visits for Original Medicare Beneficiaries, by Type of Control and Type of Service Visit MDCR HHA 6. Medicare Home Health Agencies: Persons with Utilization, Total Service Visits, and Program Payments for Original Medicare Beneficiaries, by Number of Service Visits and Number of Episodes",
      "publisher": {
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        "name": "Office of Enterprise Data and Analytics (OEDA)",
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        "fn": "CMS Program Statistics - OEDA",
        "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
      },
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      "modified": "2025-05-14",
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          "startDate": "2014-01-01",
          "endDate": "2014-12-31"
        }
      ],
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        "title": "CMS Program Statistics - Medicare Home Health Agency",
        "accessURL": "https://data.cms.gov/summary-statistics-on-use-and-payments/medicare-medicaid-service-type-reports/cms-program-statistics-medicare-home-health-agency"
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      "inventoried": "2026-09-27"
    },
    {
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      "@type": "Dataset",
      "title": "Skilled Nursing Facility All Owners : 2022-10-31",
      "description": "The Skilled Nursing Facility (SNF) All Owners dataset provides information on all owners of SNFs currently enrolled in Medicare. This data includes ownership information such as ownership name, ownership type, ownership address and ownership effective date. On November 17, 2023, CMS published in the Federal Register a final rule titled, “Medicare and Medicaid Programs; Disclosures of Ownership and Additional Disclosable Parties Information for Skilled Nursing Facilities and Nursing Facilities; Medicare Providers’ and Suppliers’ Disclosure of Private Equity Companies and Real Estate Investment Trusts” (88 FR 80141). This final rule implements parts of section 1124(c) of the Act which requires SNFs to disclose detailed information about their ownership and management as well as additional data regarding: (1) other parties with which the SNF is associated; and (2) the ownership structures of these other parties. Refer to Medicare Enrollment for Providers & Suppliers for more information on the Skilled Nursing Facility disclosure requirements. Section 6101(b) of the Affordable Care Act states that no later than 1 year after final regulations promulgated under section 1124(c) of the Act are published in the Federal Register, the Secretary shall make the information reported available to the public. On November 21, 2024 CMS updated this dataset to include this reported information.",
      "publisher": {
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        "name": "Office of Enterprise Data and Analytics (OEDA)",
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        ]
      },
      "contactPoint": {
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        "fn": "Provider Enrollment Data Requests - CPI",
        "hasEmail": "mailto:ProviderEnrollmentDataRequests@cms.hhs.gov"
      },
      "identifier": "https://data.cms.gov/data-api/v1/dataset/51d15f84-501c-4557-84c8-0582e1cb2b57/data-viewer",
      "accessRights": "public",
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      "modified": "2023-03-06",
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      "@type": "Dataset",
      "title": "Medicare Post-Acute Care Utilization - Home Health Agency by Geography and Provider : 2023-01-02",
      "description": "The Medicare Post-Acute Care (PAC) Utilization - Home Health Agency (HHA) by Geography and Provider dataset contains data summarized at the provider, state, and national levels. Payment information includes provider charges, Medicare allowed amount (if applicable), Medicare payment, and the standardized payment for care provided in the HHA setting.",
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      ],
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          "description": "The Opt Out Affidavits dataset provides information on providers who have decided not to participate in Medicare. It contains provider's NPI, specialty, address, and effective dates.",
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      "description": "The CMS Program Statistics - Medicare Premium tables provide information on counts of Medicare Part A (Hospital Insurance) and Part B (Medical Insurance) total premium, standard base premium, reduced base premium, and penalty beneficiaries. In addition, these tables include premium amounts and penalty amounts. For the Part B premium tables, information on Income Related Monthly Adjustment Amount (IRMAA) beneficiaries, IRMAA amounts, Managed Care Reduction beneficiaries and Managed Care Reduction amounts are also included. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR PREMIUMS 1. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 2. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 3. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts, by Area of Residence MDCR PREMIUMS 4. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 5. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 6. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts, by Area of Residence MDCR PREMIUMS 7. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 8. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 9. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, by Area of Residence",
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      "description": "The CMS Program Statistics - Medicare Deaths summary tables provide data on Medicare deaths. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL AB 33. Medicare Deaths: Total (Original Medicare and Medicare Advantage and Other Health Plan) Beneficiaries, by Month of Death, Yearly Trend MDCR ENROLL AB 34. Medicare Deaths: Total, Original Medicare, and Medicare Advantage and Other Health Plan Beneficiaries, by Demographic Characteristics MDCR ENROLL AB 35. Medicare Deaths: Total (Original Medicare and Medicare Advantage and Other Health Plan) Beneficiaries, by Area of Residence MDCR ENROLL AB 36. Medicare Deaths: Original Medicare Beneficiaries, by Month of Death, Yearly Trend MDCR ENROLL AB 37. Medicare Deaths: Original Medicare Beneficiaries, by Area of Residence MDCR ENROLL AB 38. Medicare Deaths: Medicare Advantage and Other Health Plan Beneficiaries, by Month of Death, Yearly Trend MDCR ENROLL AB 39. Medicare Deaths: Medicare Advantage and Other Health Plan Beneficiaries, by Area of Residence",
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          "title": "Order and Referring : 2026-04-30",
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      "description": "The Fiscal Intermediary Shared System (FISS) Attending and Rendering dataset provides a list of those attending and rendering physicians for the FISS. FISS edits require that the Line Item Rendering Physician information be transmitted when providers submit a combined claim. Claims that include both facility and professional components, need to report the rendering physician or other practitioner at the line level if it differs from the rendering physician/practitioner reported at the claim level. Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.",
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          "description": "The Fiscal Intermediary Shared System (FISS) Attending and Rendering dataset provides a list of those attending and rendering physicians for the FISS. FISS edits require that the Line Item Rendering Physician information be transmitted when providers submit a combined claim. Claims that include both facility and professional components, need to report the rendering physician or other practitioner at the line level if it differs from the rendering physician/practitioner reported at the claim level. Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.",
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              "hasEmail": "mailto:planfinderqa@cms.hhs.gov"
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          ],
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      "inventoried": "2026-09-27"
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      "title": "Pending Initial Logging and Tracking Physicians : 2025-09-02",
      "description": "The Pending Initial Logging and Tracking (L & T) Physicians dataset provides a list of pending applications that have not been processed by CMS contractors.",
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      "description": "The Skilled Nursing Facility (SNF) Enrollments dataset provides enrollment information of all SNF 's currently enrolled in Medicare. This data includes information on the SNF's legal business name, doing business as name, organization type and address. On November 17, 2023, CMS published in the Federal Register a final rule titled, “Medicare and Medicaid Programs; Disclosures of Ownership and Additional Disclosable Parties Information for Skilled Nursing Facilities and Nursing Facilities; Medicare Providers’ and Suppliers’ Disclosure of Private Equity Companies and Real Estate Investment Trusts” (88 FR 80141). This final rule implements parts of section 1124(c) of the Act which requires SNFs to disclose detailed information about their ownership and management as well as additional data regarding: (1) other parties with which the SNF is associated; and (2) the ownership structures of these other parties. Refer to Medicare Enrollment for Providers & Suppliers for more information on the Skilled Nursing Facility disclosure requirements.Section 6101(b) of the Affordable Care Act states that no later than 1 year after final regulations promulgated under section 1124(c) of the Act are published in the Federal Register, the Secretary shall make the information reported available to the public. On November 21, 2024 CMS updated this dataset to include this reported information.",
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      "landingPage": {
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        "title": "Skilled Nursing Facility Enrollments",
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      "title": "Fiscal Intermediary Shared System Attending and Rendering : 2024-07-26",
      "description": "The Fiscal Intermediary Shared System (FISS) Attending and Rendering dataset provides a list of those attending and rendering physicians for the FISS. FISS edits require that the Line Item Rendering Physician information be transmitted when providers submit a combined claim. Claims that include both facility and professional components, need to report the rendering physician or other practitioner at the line level if it differs from the rendering physician/practitioner reported at the claim level. Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.",
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          "description": "The Fiscal Intermediary Shared System (FISS) Attending and Rendering dataset provides a list of those attending and rendering physicians for the FISS. FISS edits require that the Line Item Rendering Physician information be transmitted when providers submit a combined claim. Claims that include both facility and professional components, need to report the rendering physician or other practitioner at the line level if it differs from the rendering physician/practitioner reported at the claim level. Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.",
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      "inventoried": "2026-09-27"
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      "@type": "Dataset",
      "title": "CMS Program Statistics - Medicare Inpatient Hospital : 2023-01-01",
      "description": "The CMS Program Statistics - Medicare Inpatient Hospital tables provide use and payment data for all inpatient hospitals, including short-stay hospitals, critical access hospitals, long term care hospitals, inpatient psychiatric facilities, inpatient rehabilitation facilities, religious nonmedical health care institutions, children’s hospitals, and other hospitals. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR INPT HOSP 1. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 2. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR INPT HOSP 3. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 4. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital MDCR INPT HOSP 5. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 6. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment MDCR INPT HOSP 7. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 8. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement and Total Days of Care MDCR INPT HOSP 9. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Location and Bedsize of Hospitals, by Medical School Affiliation, and Type of Control MDCR INPT HOSP 10. Special-Category Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital",
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        "Outpatient Physical Therapy",
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      ],
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      "@type": "Dataset",
      "title": "Opioid Treatment Program Providers : 2026-05-12",
      "description": "The Opioid Treatment Program (OTP) Providers dataset provides information on Providers who have enrolled in Medicare under the Opioid Treatment Program. It contains provider's name, National Provider Identifier (NPI), address, phone number and the effective enrollment date.",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
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      "accrualPeriodicity": "weekly",
      "accessLevel": "public",
      "bureauCode": [
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      "programCode": [
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      "references": [
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      ],
      "distribution": [
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          "description": "The Facility-Level Minimum Data Set (MDS) Frequency dataset provides information for active nursing home residents on topics, such as race/ethnicity, age, or marital status; discharge dispositions; hearing, speech, and vision; cognitive patterns; mood; functional abilities and goals; bladder and bowel; active diagnoses; health conditions; swallowing/nutritional status; oral/dental status; skin conditions; medications; special treatments, procedures, and programs; restraints and alarms; and participation in assessment and goal setting.",
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      "inventoried": "2026-09-27"
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      "description": "The Rural Health Clinic (RHC) Enrollments dataset provides enrollment information on all RHCs currently enrolled in Medicare. This data includes information on the RHC's legal business name, doing business as name, organization type and address.",
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      "inventoried": "2026-09-27"
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    {
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      "title": "Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information : 2024-09-02",
      "description": "The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information files contain formulary, pharmacy network, and pricing data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). These non-identifiable files are available on a quarterly basis and are comprised of the following tables: Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type. Geographic Locator - MA and Prescription Drug Plans region codes and county codes. Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, prior authorization, and a newly added Selected Drug flag. Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only). Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies. Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators, and brand, generic, and selected drug dispensing fees for 30/60/90 days supply, respectively. Pricing - Plan level average monthly costs for formulary Part D drugs (note: this table is only available in the quarterly files). Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan. Insulin Beneficiary Cost File - Plan level copay and coinsurance amounts for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information is also available to access for the monthly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2025 data is available in the fourth quarter file of 2024. Year 2025 data continues to be available in the Q1-Q3 2025 files, then in the fourth quarter of 2025 year 2026 data becomes available. Estimated release dates for upcoming quarterly data (files reflect data for the quarter that ended the month before the file was released): 10/15/2026 1/20/2027 4/28/2027 7/21/2027 Files older than contract year 2019 can be purchased.",
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          "startDate": "2024-07-01",
          "endDate": "2024-09-30"
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      ],
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    {
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      "title": "CMS Program Statistics - Medicare Inpatient Hospital : 2016-12-31",
      "description": "The CMS Program Statistics - Medicare Inpatient Hospital tables provide use and payment data for all inpatient hospitals, including short-stay hospitals, critical access hospitals, long term care hospitals, inpatient psychiatric facilities, inpatient rehabilitation facilities, religious nonmedical health care institutions, children’s hospitals, and other hospitals. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR INPT HOSP 1. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 2. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR INPT HOSP 3. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 4. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital MDCR INPT HOSP 5. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 6. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment MDCR INPT HOSP 7. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 8. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement and Total Days of Care MDCR INPT HOSP 9. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Location and Bedsize of Hospitals, by Medical School Affiliation, and Type of Control MDCR INPT HOSP 10. Special-Category Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
        "subOrganizationOf": [
          {
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          }
        ]
      },
      "contactPoint": {
        "@type": "Kind",
        "fn": "CMS Program Statistics - OEDA",
        "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
      },
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      },
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        "Health Equity"
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      "title": "Minimum Data Set Frequency : 2024-04-02",
      "description": "The Minimum Data Set (MDS) Frequency data summarizes health status indicators for active residents currently in nursing homes. The MDS is part of the Federally-mandated process for clinical assessment of all residents in Medicare and Medicaid certified nursing homes. This process provides a comprehensive assessment of each resident's functional capabilities and helps nursing home staff identify health problems. Care Area Assessments (CAAs) are part of this process, and provide the foundation upon which a resident's individual care plan is formulated. MDS assessments are completed for all residents in certified nursing homes, regardless of source of payment for the individual resident. MDS assessments are required for residents on admission to the nursing facility, periodically, and on discharge. All assessments are completed within specific guidelines and time frames. In most cases, participants in the assessment process are licensed health care professionals employed by the nursing home. MDS information is transmitted electronically by nursing homes to the national MDS database at CMS. When reviewing the MDS 3.0 Frequency files, some common software programs e.g., ‘Microsoft Excel’ might inaccurately strip leading zeros from designated code values (i.e., \"01\" becomes \"1\") or misinterpret code ranges as dates (i.e., O0600 ranges such as 02-04 are misread as 04-Feb). As each piece of software is unique, if you encounter an issue when reading the CSV file of Frequency data, please open the file in a plain text editor such as ‘Notepad’ or ‘TextPad’ to review the underlying data, before reaching out to CMS for assistance.",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
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        ]
      },
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      ],
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        "Medicaid"
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      "programCode": [
        "009:000"
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      "references": [
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    },
    {
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      "@type": "Dataset",
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      "description": "The Opioid Treatment Program (OTP) Providers dataset provides information on Providers who have enrolled in Medicare under the Opioid Treatment Program. It contains provider's name, National Provider Identifier (NPI), address, phone number and the effective enrollment date.",
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        "name": "Office of Enterprise Data and Analytics (OEDA)",
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        "@type": "Kind",
        "fn": "Provider Enrollment Data Requests - CPI",
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        "Drugs",
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      "programCode": [
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    {
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      "title": "Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information : 2025-03-02",
      "description": "The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information files contain formulary, pharmacy network, and pricing data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). These non-identifiable files are available on a quarterly basis and are comprised of the following tables: Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type. Geographic Locator - MA and Prescription Drug Plans region codes and county codes. Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, prior authorization, and a newly added Selected Drug flag. Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only). Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies. Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators, and brand, generic, and selected drug dispensing fees for 30/60/90 days supply, respectively. Pricing - Plan level average monthly costs for formulary Part D drugs (note: this table is only available in the quarterly files). Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan. Insulin Beneficiary Cost File - Plan level copay and coinsurance amounts for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information is also available to access for the monthly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2025 data is available in the fourth quarter file of 2024. Year 2025 data continues to be available in the Q1-Q3 2025 files, then in the fourth quarter of 2025 year 2026 data becomes available. Estimated release dates for upcoming quarterly data (files reflect data for the quarter that ended the month before the file was released): 10/15/2026 1/20/2027 4/28/2027 7/21/2027 Files older than contract year 2019 can be purchased.",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
        "subOrganizationOf": [
          {
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            "name": "Centers for Medicare and Medicaid Services (CMS)"
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      },
      "contactPoint": {
        "@type": "Kind",
        "fn": "Plan Finder - CM",
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          "endDate": "2025-03-31"
        }
      ],
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      "description": "The Fiscal Intermediary Shared System (FISS) Attending and Rendering dataset provides a list of those attending and rendering physicians for the FISS. FISS edits require that the Line Item Rendering Physician information be transmitted when providers submit a combined claim. Claims that include both facility and professional components, need to report the rendering physician or other practitioner at the line level if it differs from the rendering physician/practitioner reported at the claim level. Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.",
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          "description": "The Fiscal Intermediary Shared System (FISS) Attending and Rendering dataset provides a list of those attending and rendering physicians for the FISS. FISS edits require that the Line Item Rendering Physician information be transmitted when providers submit a combined claim. Claims that include both facility and professional components, need to report the rendering physician or other practitioner at the line level if it differs from the rendering physician/practitioner reported at the claim level. Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.",
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          ],
          "identifier": "https://data.cms.gov/data-api/v1/dataset/75e8dcb2-78eb-4a7d-a377-9108441966db/data"
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      ],
      "inventoried": "2026-09-27"
    },
    {
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      "title": "Monthly Prescription Drug Plan Formulary and Pharmacy Network Information : 2022-02-11",
      "description": "The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information files contain formulary and pharmacy network data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). These non-identifiable files are available on a monthly basis and are comprised of the following tables:Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type.Geographic Locator - MA and Prescription Drug Plans region codes and county codes.Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, prior authorization, and a newly added Selected Drug flag.Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only).Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies.Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators, and brand, generic, and selected drug dispensing fees for 30/60/90 days supply, respectively.Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan.Insulin Beneficiary Cost File - Plan level copay and coinsurance amounts for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information is also available to access for the quarterly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2026 data is available in the October, November and December 2025 monthly files. Year 2026 data continues to be available in the January through September 2026 monthly files, then beginning in October of 2026 year 2027 data becomes available.Estimated release dates for upcoming monthly data (files reflect data for the month in which the file is released):10/15/2611/25/2612/23/261/20/272/17/273/17/274/28/275/26/276/23/277/21/278/18/279/29/27Files older than contract year 2019 can be purchased.",
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      "description": "The CMS Program Statistics - Medicare-Medicaid Enrollment tables provide data on characteristics of the Medicare-Medicaid enrollee population. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL AB 40. Medicare-Medicaid Enrollment (MME): Total Medicare-Medicaid Enrollees by Type of Eligibility, Yearly Trend MDCR ENROLL AB 41. Medicare-Medicaid Enrollment (MME): Total Medicare-Medicaid Enrollees by Type of Eligibility and by Demographic Characteristics MDCR ENROLL AB 42. Medicare-Medicaid Enrollment (MME): Total Medicare-Medicaid Enrollees by Type of Eligibility and Area of Residence MDCR ENROLL AB 43. Medicare-Medicaid Enrollment (MME): Original Medicare Enrollees by Type of Eligibility, Yearly Trend MDCR ENROLL AB 44. Medicare-Medicaid Enrollment (MME): Original Medicare Enrollees by Type of Eligibility and by Demographic Characteristics MDCR ENROLL AB 45. Medicare-Medicaid Enrollment (MME): Original Medicare Enrollees by Type of Eligibility and Area of Residence MDCR ENROLL AB 46. Medicare-Medicaid Enrollment (MME): Medicare Advantage and Other Health Plan Enrollees by Type of Eligibility, Yearly Trend MDCR ENROLL AB 47. Medicare-Medicaid Enrollment (MME): Medicare Advantage and Other Health Plan Enrollees by Type of Eligibility and by Demographic Characteristics MDCR ENROLL AB 48. Medicare-Medicaid Enrollment (MME): Medicare Advantage and Other Health Plan Enrollees by Type of Eligibility and Area of Residence",
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    {
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      "title": "Revalidation Due Date List : 2026-04-01",
      "description": "The Revalidation Due Date List dataset contains revalidation due dates for Medicare providers who are due to revalidate in the following six months. If a provider's due date does not fall within the ensuing six months, the due date is marked 'TBD'. In addition the dataset also includes subfiles with reassignment information for a given provider as well as due date listings for clinics and group practices and their providers.",
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          "title": "Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information",
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          },
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      ],
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    },
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      "description": "The Opt Out Affidavits dataset provides information on providers who have decided not to participate in Medicare. It contains provider's NPI, specialty, address, and effective dates.",
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          "description": "The Opt Out Affidavits dataset provides information on providers who have decided not to participate in Medicare. It contains provider's NPI, specialty, address, and effective dates.",
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      "@type": "Dataset",
      "title": "Revalidation Due Date List : 2026-08-01",
      "description": "The Revalidation Due Date List dataset contains revalidation due dates for Medicare providers who are due to revalidate in the following six months. If a provider's due date does not fall within the ensuing six months, the due date is marked 'TBD'. In addition the dataset also includes subfiles with reassignment information for a given provider as well as due date listings for clinics and group practices and their providers.",
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      },
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      "sourceSite": "data.cms.gov",
      "sourceCatalog": "https://data.cms.gov/data.json",
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        "Original Medicare",
        "Medicare Advantage",
        "Provider Enrollment"
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      "accessLevel": "public",
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      "programCode": [
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      "references": [
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          "description": "The Revalidation Due Date List dataset contains revalidation due dates for Medicare providers who are due to revalidate in the following six months. If a provider's due date does not fall within the ensuing six months, the due date is marked 'TBD'. In addition the dataset also includes subfiles with reassignment information for a given provider as well as due date listings for clinics and group practices and their providers.",
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      "title": "Pending Initial Logging and Tracking Physicians : 2025-09-26",
      "description": "The Pending Initial Logging and Tracking (L & T) Physicians dataset provides a list of pending applications that have not been processed by CMS contractors.",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
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      "language": [
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      ],
      "landingPage": {
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      },
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      },
      "keyword": [
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        "Original Medicare",
        "Medicare Advantage",
        "Provider Enrollment"
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      "theme": [
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      ],
      "accrualPeriodicity": "R/P3.5D",
      "accessLevel": "public",
      "bureauCode": [
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      "programCode": [
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      ],
      "references": [
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      ],
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          "title": "Pending Initial Logging and Tracking Physicians",
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      ],
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        "downloadURL": "https://data.cms.gov/resources/minimum-data-set-frequency-data-dictionary"
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      "keyword": [
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      "theme": [
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      "accrualPeriodicity": "quarterly",
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            "downloadURL": "https://data.cms.gov/data-api/v1/dataset/81527852-821c-4018-801d-fdebda6d54f5/dictionary",
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          "title": "Pending Initial Logging and Tracking Physicians",
          "description": "The Pending Initial Logging and Tracking (L & T) Physicians dataset provides a list of pending applications that have not been processed by CMS contractors.",
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        "@type": "Kind",
        "fn": "Plan Finder - CM",
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      "description": "The CMS Program Statistics - Medicare Providers summary tables provide data on institutional (i.e., hospitals, skilled nursing facilities, home health agencies, hospices, etc.) and non-institutional (i.e., physicians, nonphysicians, specialists, and suppliers) providers. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR PROVIDERS 1. Medicare Providers: Number of Medicare Certified Institutional Providers, Yearly Trend MDCR PROVIDERS 2. Medicare Providers: Number of Medicare Certified Inpatient Hospital and Skilled Nursing Facility Beds and Beds Per 1,000 Enrollees, Yearly Trend MDCR PROVIDERS 3. Medicare Providers: Number of Medicare Certified Facilities, by Type of Control, Yearly Trend MDCR PROVIDERS 4. Medicare Providers: Number of Skilled Nursing Facilities and Medicare Certified Hospitals, and Number of Beds, by State, Territories, Possessions and Other Areas MDCR PROVIDERS 5. Medicare Providers: Number of Medicare Certified Providers, by Type of Provider, by State, Territories, Possessions, and Other Areas MDCR PROVIDERS 6. Medicare Providers: Number of Medicare Non-Institutional Providers by Specialty, Yearly Trend MDCR PROVIDERS 7. Medicare Providers: Number of Medicare Non-Institutional Providers, by State, Territories, Possessions, and Other Areas, Yearly Trend",
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      "title": "Fiscal Intermediary Shared System Attending and Rendering : 2026-05-12",
      "description": "The Fiscal Intermediary Shared System (FISS) Attending and Rendering dataset provides a list of those attending and rendering physicians for the FISS. FISS edits require that the Line Item Rendering Physician information be transmitted when providers submit a combined claim. Claims that include both facility and professional components, need to report the rendering physician or other practitioner at the line level if it differs from the rendering physician/practitioner reported at the claim level. Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.",
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      "title": "CMS Program Statistics - Medicare Inpatient Hospital : 2022-01-01",
      "description": "The CMS Program Statistics - Medicare Inpatient Hospital tables provide use and payment data for all inpatient hospitals, including short-stay hospitals, critical access hospitals, long term care hospitals, inpatient psychiatric facilities, inpatient rehabilitation facilities, religious nonmedical health care institutions, children’s hospitals, and other hospitals. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR INPT HOSP 1. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 2. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR INPT HOSP 3. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 4. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital MDCR INPT HOSP 5. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 6. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment MDCR INPT HOSP 7. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 8. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement and Total Days of Care MDCR INPT HOSP 9. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Location and Bedsize of Hospitals, by Medical School Affiliation, and Type of Control MDCR INPT HOSP 10. Special-Category Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital",
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        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
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        "fn": "CMS Program Statistics - OEDA",
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      "accessRights": "public",
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      ],
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          "endDate": "2022-12-31"
        }
      ],
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      ],
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      "description": "The Fiscal Intermediary Shared System (FISS) Attending and Rendering dataset provides a list of those attending and rendering physicians for the FISS. FISS edits require that the Line Item Rendering Physician information be transmitted when providers submit a combined claim. Claims that include both facility and professional components, need to report the rendering physician or other practitioner at the line level if it differs from the rendering physician/practitioner reported at the claim level. Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.",
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      "description": "The Home Health Agency (HHA) All Owners dataset provides ownership information on all HHAs currently enrolled in Medicare. This data includes ownership information such as ownership name, ownership type, ownership address and ownership effective date.",
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      "keyword": [
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          "description": "The CMS Program Statistics - Medicare Part D Enrollment tables provide data on characteristics of the Medicare Part D covered population. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL D 1. Medicare Part D Enrollment: Part D Enrollees by Type of Plan, Low Income Subsidy (LIS), and Retiree Drug Subsidy, Yearly Trend MDCR ENROLL D 2. Medicare Part D Enrollment: Part D Enrollees by Type of Plan, Low Income Subsidy (LIS), and Retiree Drug Subsidy, by Demographic Characteristics MDCR ENROLL D 3. Medicare Part D Enrollment: Part D Enrollees by Type of Plan, Low Income Subsidy (LIS), and Retiree Drug Subsidy, by Area of Residence",
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        "fn": "Plan Finder - CM",
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      "description": "The Opioid Treatment Program (OTP) Providers dataset provides information on Providers who have enrolled in Medicare under the Opioid Treatment Program. It contains provider's name, National Provider Identifier (NPI), address, phone number and the effective enrollment date.",
      "publisher": {
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        "name": "Office of Enterprise Data and Analytics (OEDA)",
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      "title": "Order and Referring : 2025-12-30",
      "description": "The Order and Referring dataset provides information on all physicians and non-physician practitioners, by their National Provider Identifier (NPI), who are of a type/specialty that is legally eligible to order and refer in the Medicare program and who have current enrollment records in Medicare. This dataset identifies Medicare fee-for-service ordering and referring eligibility, supporting transparency and regulatory compliance efforts. The information can be used to verify ordering and referring capabilities as required by Medicare program standards.",
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              "fn": "Plan Finder - CM",
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          ],
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      "inventoried": "2026-09-27"
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      "description": "The Medicare Post-Acute Care (PAC) Utilization - Skilled Nursing Facility (SNF) by Geography and Provider dataset contains data summarized at the provider, state, and national levels. Payment information includes provider charges, Medicare allowed amount (if applicable), Medicare payment, and the standardized payment for care provided in the SNF setting.",
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      "title": "Fiscal Intermediary Shared System Attending and Rendering : 2024-10-04",
      "description": "The Fiscal Intermediary Shared System (FISS) Attending and Rendering dataset provides a list of those attending and rendering physicians for the FISS. FISS edits require that the Line Item Rendering Physician information be transmitted when providers submit a combined claim. Claims that include both facility and professional components, need to report the rendering physician or other practitioner at the line level if it differs from the rendering physician/practitioner reported at the claim level. Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.",
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      "description": "The CMS Program Statistics - Medicare Advantage, Inpatient Hospital tables provide utilization data for inpatient hospitals, including short-stay hospitals, critical access hospitals, long term care hospitals, inpatient psychiatric facilities, inpatient rehabilitation facilities, and other hospitals, by Medicare Advantage beneficiaries. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables:MDCR INPT HOSP MA 4. All Medicare Inpatient Hospital Types: Utilization for Medicare Advantage Beneficiaries, by Type of HospitalMDCR INPT HOSP MA 5. Medicare Short Stay Hospitals: Utilization for Medicare Advantage Beneficiaries, by Type of Entitlement, Yearly TrendMDCR INPT HOSP MA 6. Medicare Short Stay Hospitals: Utilization for Medicare Advantage Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment StatusMDCR INPT HOSP MA 7. Medicare Short Stay Hospitals: Utilization for Medicare Advantage Beneficiaries, by Area of Residence MDCR INPT HOSP MA 1 – MDCR INPT HOSP MA 3 are not available at this time.",
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          "description": "The CMS Program Statistics - Medicare Advantage, Inpatient Hospital tables provide utilization data for inpatient hospitals, including short-stay hospitals, critical access hospitals, long term care hospitals, inpatient psychiatric facilities, inpatient rehabilitation facilities, and other hospitals, by Medicare Advantage beneficiaries. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables:MDCR INPT HOSP MA 4. All Medicare Inpatient Hospital Types: Utilization for Medicare Advantage Beneficiaries, by Type of HospitalMDCR INPT HOSP MA 5. Medicare Short Stay Hospitals: Utilization for Medicare Advantage Beneficiaries, by Type of Entitlement, Yearly TrendMDCR INPT HOSP MA 6. Medicare Short Stay Hospitals: Utilization for Medicare Advantage Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment StatusMDCR INPT HOSP MA 7. Medicare Short Stay Hospitals: Utilization for Medicare Advantage Beneficiaries, by Area of Residence MDCR INPT HOSP MA 1 – MDCR INPT HOSP MA 3 are not available at this time.",
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      "description": "The Order and Referring dataset provides information on all physicians and non-physician practitioners, by their National Provider Identifier (NPI), who are of a type/specialty that is legally eligible to order and refer in the Medicare program and who have current enrollment records in Medicare. This dataset identifies Medicare fee-for-service ordering and referring eligibility, supporting transparency and regulatory compliance efforts. The information can be used to verify ordering and referring capabilities as required by Medicare program standards.",
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    {
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      "@type": "Dataset",
      "title": "CMS Program Statistics - Medicare Premiums : 2019-12-31",
      "description": "The CMS Program Statistics - Medicare Premium tables provide information on counts of Medicare Part A (Hospital Insurance) and Part B (Medical Insurance) total premium, standard base premium, reduced base premium, and penalty beneficiaries. In addition, these tables include premium amounts and penalty amounts. For the Part B premium tables, information on Income Related Monthly Adjustment Amount (IRMAA) beneficiaries, IRMAA amounts, Managed Care Reduction beneficiaries and Managed Care Reduction amounts are also included. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR PREMIUMS 1. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 2. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 3. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts, by Area of Residence MDCR PREMIUMS 4. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 5. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 6. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts, by Area of Residence MDCR PREMIUMS 7. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 8. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 9. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, by Area of Residence",
      "publisher": {
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        "name": "Office of Enterprise Data and Analytics (OEDA)",
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      "modified": "2025-05-14",
      "language": [
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      ],
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          "startDate": "2019-01-01",
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      "landingPage": {
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      "keyword": [
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        "Health Care Use & Payments",
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      "inSeries": [
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          "@id": "https://data.cms.gov/data-api/v1/dataset/22c117c2-c04f-4078-9b7d-782167c8f0bb/data",
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          "title": "CMS Program Statistics - Medicare Premiums",
          "description": "The CMS Program Statistics - Medicare Premium tables provide information on counts of Medicare Part A (Hospital Insurance) and Part B (Medical Insurance) total premium, standard base premium, reduced base premium, and penalty beneficiaries. In addition, these tables include premium amounts and penalty amounts. For the Part B premium tables, information on Income Related Monthly Adjustment Amount (IRMAA) beneficiaries, IRMAA amounts, Managed Care Reduction beneficiaries and Managed Care Reduction amounts are also included. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR PREMIUMS 1. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 2. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 3. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts, by Area of Residence MDCR PREMIUMS 4. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 5. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 6. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts, by Area of Residence MDCR PREMIUMS 7. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 8. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 9. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, by Area of Residence",
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      "inventoried": "2026-09-27"
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    {
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      "@type": "Dataset",
      "title": "Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information : 2021-09-30",
      "description": "The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information files contain formulary, pharmacy network, and pricing data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). These non-identifiable files are available on a quarterly basis and are comprised of the following tables: Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type. Geographic Locator - MA and Prescription Drug Plans region codes and county codes. Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, prior authorization, and a newly added Selected Drug flag. Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only). Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies. Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators, and brand, generic, and selected drug dispensing fees for 30/60/90 days supply, respectively. Pricing - Plan level average monthly costs for formulary Part D drugs (note: this table is only available in the quarterly files). Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan. Insulin Beneficiary Cost File - Plan level copay and coinsurance amounts for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information is also available to access for the monthly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2025 data is available in the fourth quarter file of 2024. Year 2025 data continues to be available in the Q1-Q3 2025 files, then in the fourth quarter of 2025 year 2026 data becomes available. Estimated release dates for upcoming quarterly data (files reflect data for the quarter that ended the month before the file was released): 10/15/2026 1/20/2027 4/28/2027 7/21/2027 Files older than contract year 2019 can be purchased.",
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      "inventoried": "2026-09-27"
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      "contactPoint": {
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        "fn": "Comprehensive Error Rate Testing (CERT) Program - OFM",
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    {
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      "@type": "Dataset",
      "title": "CMS Program Statistics - Medicare Inpatient Hospital : 2013-12-31",
      "description": "The CMS Program Statistics - Medicare Inpatient Hospital tables provide use and payment data for all inpatient hospitals, including short-stay hospitals, critical access hospitals, long term care hospitals, inpatient psychiatric facilities, inpatient rehabilitation facilities, religious nonmedical health care institutions, children’s hospitals, and other hospitals. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR INPT HOSP 1. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 2. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR INPT HOSP 3. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 4. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital MDCR INPT HOSP 5. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 6. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment MDCR INPT HOSP 7. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 8. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement and Total Days of Care MDCR INPT HOSP 9. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Location and Bedsize of Hospitals, by Medical School Affiliation, and Type of Control MDCR INPT HOSP 10. Special-Category Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital",
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      "title": "Fiscal Intermediary Shared System Attending and Rendering : 2025-10-03",
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    {
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      "description": "The CMS Program Statistics - Medicare Newly Enrolled tables provide data on characteristics of the newly enrolled Medicare population. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL AB 21. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Enrollees, Yearly Trend MDCR ENROLL AB 22. Medicare Newly Enrolled Beneficiaries: Total Enrollees by Month of Enrollment, Yearly Trend MDCR ENROLL AB 23. Medicare Newly Enrolled Beneficiaries: Total Enrollees, by Demographic Characteristics MDCR ENROLL AB 24. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Enrollees, by Area of Residence MDCR ENROLL AB 25. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Original Medicare Enrollees MDCR ENROLL AB 26. Medicare Newly Enrolled Beneficiaries: Original Medicare Enrollees by Month of Enrollment, Yearly Trend MDCR ENROLL AB 27. Medicare Newly Enrolled Beneficiaries: Original Medicare Enrollees, by Demographic Characteristics MDCR ENROLL AB 28. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Original Medicare Enrollees, by Area of Residence MDCR ENROLL AB 29. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Medicare Advantage and Other Health Plan Enrollees, Yearly Trend MDCR ENROLL AB 30. Medicare Newly Enrolled Beneficiaries: Medicare Advantage and Other Health Plan Enrollees, by Month of Enrollment, Yearly Trend MDCR ENROLL AB 31. Medicare Newly Enrolled Beneficiaries: Medicare Advantage and Other Health Plan Enrollees, by Demographic Characteristics MDCR ENROLL AB 32. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Medicare Advantage and Other Health Plan Enrollees, by Area of Residence",
      "publisher": {
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        "name": "Office of Enterprise Data and Analytics (OEDA)",
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          "description": "The CMS Program Statistics - Medicare Newly Enrolled tables provide data on characteristics of the newly enrolled Medicare population. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL AB 21. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Enrollees, Yearly Trend MDCR ENROLL AB 22. Medicare Newly Enrolled Beneficiaries: Total Enrollees by Month of Enrollment, Yearly Trend MDCR ENROLL AB 23. Medicare Newly Enrolled Beneficiaries: Total Enrollees, by Demographic Characteristics MDCR ENROLL AB 24. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Enrollees, by Area of Residence MDCR ENROLL AB 25. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Original Medicare Enrollees MDCR ENROLL AB 26. Medicare Newly Enrolled Beneficiaries: Original Medicare Enrollees by Month of Enrollment, Yearly Trend MDCR ENROLL AB 27. Medicare Newly Enrolled Beneficiaries: Original Medicare Enrollees, by Demographic Characteristics MDCR ENROLL AB 28. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Original Medicare Enrollees, by Area of Residence MDCR ENROLL AB 29. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Medicare Advantage and Other Health Plan Enrollees, Yearly Trend MDCR ENROLL AB 30. Medicare Newly Enrolled Beneficiaries: Medicare Advantage and Other Health Plan Enrollees, by Month of Enrollment, Yearly Trend MDCR ENROLL AB 31. Medicare Newly Enrolled Beneficiaries: Medicare Advantage and Other Health Plan Enrollees, by Demographic Characteristics MDCR ENROLL AB 32. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Medicare Advantage and Other Health Plan Enrollees, by Area of Residence",
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      "description": "The CMS Program Statistics – Medicare Advantage, Outpatient Facility tables provide utilization data for outpatient facilities, by Medicare Advantage beneficiaries.For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page.Below is the list of tables:MDCR OUTPATIENT MA 1. Medicare Outpatient Facilities: Utilization for Medicare Advantage Beneficiaries, by Type of Entitlement, Yearly TrendMDCR OUTPATIENT MA 2. Medicare Outpatient Facilities: Utilization for Medicare Advantage Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment StatusMDCR OUTPATIENT MA 3. Medicare Outpatient Facilities: Utilization for Medicare Advantage Beneficiaries, by Area of Residence",
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      "description": "The Opioid Treatment Program (OTP) Providers dataset provides information on Providers who have enrolled in Medicare under the Opioid Treatment Program. It contains provider's name, National Provider Identifier (NPI), address, phone number and the effective enrollment date.",
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            {
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              "startDate": "2023-03-01",
              "endDate": "2023-03-31"
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          ],
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        },
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          "title": "Skilled Nursing Facility Enrollments",
          "description": "The Skilled Nursing Facility (SNF) Enrollments dataset provides enrollment information of all SNF 's currently enrolled in Medicare. This data includes information on the SNF's legal business name, doing business as name, organization type and address. On November 17, 2023, CMS published in the Federal Register a final rule titled, “Medicare and Medicaid Programs; Disclosures of Ownership and Additional Disclosable Parties Information for Skilled Nursing Facilities and Nursing Facilities; Medicare Providers’ and Suppliers’ Disclosure of Private Equity Companies and Real Estate Investment Trusts” (88 FR 80141). This final rule implements parts of section 1124(c) of the Act which requires SNFs to disclose detailed information about their ownership and management as well as additional data regarding: (1) other parties with which the SNF is associated; and (2) the ownership structures of these other parties. Refer to Medicare Enrollment for Providers & Suppliers for more information on the Skilled Nursing Facility disclosure requirements.Section 6101(b) of the Affordable Care Act states that no later than 1 year after final regulations promulgated under section 1124(c) of the Act are published in the Federal Register, the Secretary shall make the information reported available to the public. On November 21, 2024 CMS updated this dataset to include this reported information.",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@id": "https://data.cms.gov/data-api/v1/dataset/db8830fb-0de4-4ac0-97ee-f68d8fd700eb/data-viewer",
      "@type": "Dataset",
      "title": "Home Infusion Therapy Providers : 2024-09-03",
      "description": "The Home Infusion Therapy Providers dataset provides information on the Providers in Medicare who specialize in Home Infusion Therapy.",
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        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
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      ],
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        "ZIP Code",
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        "Hospitals & Facilities",
        "Outpatient Facilities",
        "Outpatient Physical Therapy",
        "Provider Enrollment"
      ],
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      ],
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      ],
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            "title": "Data dictionary for Home Infusion Therapy Providers : 2024-09-03",
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          ],
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      ],
      "inSeries": [
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          "title": "Home Infusion Therapy Providers",
          "description": "The Home Infusion Therapy Providers dataset provides information on the Providers in Medicare who specialize in Home Infusion Therapy.",
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      "title": "Revalidation Clinic Group Practice Reassignment : 2026-08-01",
      "description": "The Revalidation Clinic Group Practice Reassignment dataset provides information between the physician and the group practice they reassign their billing to. It also includes individual employer association counts and the revalidation dates for the individual physician as well as the clinic group practice.",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
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      "accessRights": "public",
      "sourceSite": "data.cms.gov",
      "sourceCatalog": "https://data.cms.gov/data.json",
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      "language": [
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      ],
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          "endDate": "2026-08-31"
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      ],
      "landingPage": {
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        "title": "Revalidation Clinic Group Practice Reassignment",
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      },
      "describedBy": {
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        "title": "Revalidation Clinic Group Practice Reassignment Data Dictionary",
        "downloadURL": "https://data.cms.gov/resources/revalidation-clinic-group-practice-reassignment-data-dictionary"
      },
      "keyword": [
        "Medicare",
        "Original Medicare",
        "Medicare Advantage",
        "Provider Enrollment"
      ],
      "theme": [
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      ],
      "accrualPeriodicity": "monthly",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
        "009:000"
      ],
      "references": [
        "https://data.cms.gov/resources/additional-information-on-revalidation"
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      "distribution": [
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            "title": "Data dictionary for Revalidation Clinic Group Practice Reassignment : 2026-08-01",
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          "description": "The Revalidation Clinic Group Practice Reassignment dataset provides information between the physician and the group practice they reassign their billing to. It also includes individual employer association counts and the revalidation dates for the individual physician as well as the clinic group practice.",
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      ],
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    },
    {
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      "@type": "Dataset",
      "title": "Minimum Data Set Frequency : 2024-01-02",
      "description": "The Minimum Data Set (MDS) Frequency data summarizes health status indicators for active residents currently in nursing homes. The MDS is part of the Federally-mandated process for clinical assessment of all residents in Medicare and Medicaid certified nursing homes. This process provides a comprehensive assessment of each resident's functional capabilities and helps nursing home staff identify health problems. Care Area Assessments (CAAs) are part of this process, and provide the foundation upon which a resident's individual care plan is formulated. MDS assessments are completed for all residents in certified nursing homes, regardless of source of payment for the individual resident. MDS assessments are required for residents on admission to the nursing facility, periodically, and on discharge. All assessments are completed within specific guidelines and time frames. In most cases, participants in the assessment process are licensed health care professionals employed by the nursing home. MDS information is transmitted electronically by nursing homes to the national MDS database at CMS. When reviewing the MDS 3.0 Frequency files, some common software programs e.g., ‘Microsoft Excel’ might inaccurately strip leading zeros from designated code values (i.e., \"01\" becomes \"1\") or misinterpret code ranges as dates (i.e., O0600 ranges such as 02-04 are misread as 04-Feb). As each piece of software is unique, if you encounter an issue when reading the CSV file of Frequency data, please open the file in a plain text editor such as ‘Notepad’ or ‘TextPad’ to review the underlying data, before reaching out to CMS for assistance.",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
        "subOrganizationOf": [
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        ]
      },
      "contactPoint": {
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        "fn": "Minimum Data Set Frequency - CCSQ",
        "hasEmail": "mailto:iqies@cms.hhs.gov"
      },
      "identifier": "https://data.cms.gov/data-api/v1/dataset/dba345c9-997c-4011-9467-62095fd9179e/data-viewer",
      "accessRights": "public",
      "sourceSite": "data.cms.gov",
      "sourceCatalog": "https://data.cms.gov/data.json",
      "modified": "2025-03-31",
      "language": [
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      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2024-01-01",
          "endDate": "2024-03-31"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Minimum Data Set Frequency",
        "accessURL": "https://data.cms.gov/quality-of-care/minimum-data-set-frequency"
      },
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        "title": "Minimum Data Set Frequency Data Dictionary",
        "downloadURL": "https://data.cms.gov/resources/minimum-data-set-frequency-data-dictionary"
      },
      "keyword": [
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        "Medicaid"
      ],
      "theme": [
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        "Medicaid"
      ],
      "accrualPeriodicity": "quarterly",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "references": [
        "https://data.cms.gov/resources/minimum-data-set-frequency-methodology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/sites/default/files/2025-03/007d850b-af83-40e3-80c7-a6e9868a5f37/MDS_Frequency_Q1_2024_revised.csv",
          "mediaType": "text/csv",
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          "title": "Minimum Data Set Frequency : 2024-01-02",
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            "title": "Data dictionary for Minimum Data Set Frequency : 2024-01-02",
            "downloadURL": "https://data.cms.gov/data-api/v1/dataset/dba345c9-997c-4011-9467-62095fd9179e/dictionary",
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          },
          "modified": "2025-03-31",
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          ],
          "license": "https://www.usa.gov/government-works"
        },
        {
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          "description": "The Minimum Data Set (MDS) Frequency data summarizes health status indicators for active residents currently in nursing homes. The MDS is part of the Federally-mandated process for clinical assessment of all residents in Medicare and Medicaid certified nursing homes. This process provides a comprehensive assessment of each resident's functional capabilities and helps nursing home staff identify health problems. Care Area Assessments (CAAs) are part of this process, and provide the foundation upon which a resident's individual care plan is formulated. MDS assessments are completed for all residents in certified nursing homes, regardless of source of payment for the individual resident. MDS assessments are required for residents on admission to the nursing facility, periodically, and on discharge. All assessments are completed within specific guidelines and time frames. In most cases, participants in the assessment process are licensed health care professionals employed by the nursing home. MDS information is transmitted electronically by nursing homes to the national MDS database at CMS. When reviewing the MDS 3.0 Frequency files, some common software programs e.g., ‘Microsoft Excel’ might inaccurately strip leading zeros from designated code values (i.e., \"01\" becomes \"1\") or misinterpret code ranges as dates (i.e., O0600 ranges such as 02-04 are misread as 04-Feb). As each piece of software is unique, if you encounter an issue when reading the CSV file of Frequency data, please open the file in a plain text editor such as ‘Notepad’ or ‘TextPad’ to review the underlying data, before reaching out to CMS for assistance.",
          "publisher": {
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              "fn": "Minimum Data Set Frequency - CCSQ",
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    {
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      "@type": "Dataset",
      "title": "Monthly Prescription Drug Plan Formulary and Pharmacy Network Information : 2022-09-09",
      "description": "The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information files contain formulary and pharmacy network data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). These non-identifiable files are available on a monthly basis and are comprised of the following tables:Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type.Geographic Locator - MA and Prescription Drug Plans region codes and county codes.Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, prior authorization, and a newly added Selected Drug flag.Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only).Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies.Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators, and brand, generic, and selected drug dispensing fees for 30/60/90 days supply, respectively.Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan.Insulin Beneficiary Cost File - Plan level copay and coinsurance amounts for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information is also available to access for the quarterly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2026 data is available in the October, November and December 2025 monthly files. Year 2026 data continues to be available in the January through September 2026 monthly files, then beginning in October of 2026 year 2027 data becomes available.Estimated release dates for upcoming monthly data (files reflect data for the month in which the file is released):10/15/2611/25/2612/23/261/20/272/17/273/17/274/28/275/26/276/23/277/21/278/18/279/29/27Files older than contract year 2019 can be purchased.",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare and Medicaid Services (CMS)"
          }
        ]
      },
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      "description": "The CMS Program Statistics - Medicare-Medicaid Enrollment tables provide data on characteristics of the Medicare-Medicaid enrollee population. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL AB 40. Medicare-Medicaid Enrollment (MME): Total Medicare-Medicaid Enrollees by Type of Eligibility, Yearly Trend MDCR ENROLL AB 41. Medicare-Medicaid Enrollment (MME): Total Medicare-Medicaid Enrollees by Type of Eligibility and by Demographic Characteristics MDCR ENROLL AB 42. Medicare-Medicaid Enrollment (MME): Total Medicare-Medicaid Enrollees by Type of Eligibility and Area of Residence MDCR ENROLL AB 43. Medicare-Medicaid Enrollment (MME): Original Medicare Enrollees by Type of Eligibility, Yearly Trend MDCR ENROLL AB 44. Medicare-Medicaid Enrollment (MME): Original Medicare Enrollees by Type of Eligibility and by Demographic Characteristics MDCR ENROLL AB 45. Medicare-Medicaid Enrollment (MME): Original Medicare Enrollees by Type of Eligibility and Area of Residence MDCR ENROLL AB 46. Medicare-Medicaid Enrollment (MME): Medicare Advantage and Other Health Plan Enrollees by Type of Eligibility, Yearly Trend MDCR ENROLL AB 47. Medicare-Medicaid Enrollment (MME): Medicare Advantage and Other Health Plan Enrollees by Type of Eligibility and by Demographic Characteristics MDCR ENROLL AB 48. Medicare-Medicaid Enrollment (MME): Medicare Advantage and Other Health Plan Enrollees by Type of Eligibility and Area of Residence",
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      "description": "The CMS Program Statistics - Medicare Providers summary tables provide data on institutional (i.e., hospitals, skilled nursing facilities, home health agencies, hospices, etc.) and non-institutional (i.e., physicians, nonphysicians, specialists, and suppliers) providers. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR PROVIDERS 1. Medicare Providers: Number of Medicare Certified Institutional Providers, Yearly Trend MDCR PROVIDERS 2. Medicare Providers: Number of Medicare Certified Inpatient Hospital and Skilled Nursing Facility Beds and Beds Per 1,000 Enrollees, Yearly Trend MDCR PROVIDERS 3. Medicare Providers: Number of Medicare Certified Facilities, by Type of Control, Yearly Trend MDCR PROVIDERS 4. Medicare Providers: Number of Skilled Nursing Facilities and Medicare Certified Hospitals, and Number of Beds, by State, Territories, Possessions and Other Areas MDCR PROVIDERS 5. Medicare Providers: Number of Medicare Certified Providers, by Type of Provider, by State, Territories, Possessions, and Other Areas MDCR PROVIDERS 6. Medicare Providers: Number of Medicare Non-Institutional Providers by Specialty, Yearly Trend MDCR PROVIDERS 7. Medicare Providers: Number of Medicare Non-Institutional Providers, by State, Territories, Possessions, and Other Areas, Yearly Trend",
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      "@type": "Dataset",
      "title": "Order and Referring : 2023-07-19",
      "description": "The Order and Referring dataset provides information on all physicians and non-physician practitioners, by their National Provider Identifier (NPI), who are of a type/specialty that is legally eligible to order and refer in the Medicare program and who have current enrollment records in Medicare. This dataset identifies Medicare fee-for-service ordering and referring eligibility, supporting transparency and regulatory compliance efforts. The information can be used to verify ordering and referring capabilities as required by Medicare program standards.",
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      "theme": [
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      ],
      "accrualPeriodicity": "R/P3.5D",
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      "@type": "Dataset",
      "title": "Opioid Treatment Program Providers : 2025-01-14",
      "description": "The Opioid Treatment Program (OTP) Providers dataset provides information on Providers who have enrolled in Medicare under the Opioid Treatment Program. It contains provider's name, National Provider Identifier (NPI), address, phone number and the effective enrollment date.",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
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      "keyword": [
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        "Drugs",
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      "accrualPeriodicity": "weekly",
      "accessLevel": "public",
      "bureauCode": [
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      "programCode": [
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      ],
      "references": [
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          "description": "The Opioid Treatment Program (OTP) Providers dataset provides information on Providers who have enrolled in Medicare under the Opioid Treatment Program. It contains provider's name, National Provider Identifier (NPI), address, phone number and the effective enrollment date.",
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      "title": "Monthly Prescription Drug Plan Formulary and Pharmacy Network Information : 2024-02-22",
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        "fn": "Plan Finder - CM",
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          "title": "Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information",
          "description": "The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information files contain formulary, pharmacy network, and pricing data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). These non-identifiable files are available on a quarterly basis and are comprised of the following tables: Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type. Geographic Locator - MA and Prescription Drug Plans region codes and county codes. Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, prior authorization, and a newly added Selected Drug flag. Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only). Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies. Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators, and brand, generic, and selected drug dispensing fees for 30/60/90 days supply, respectively. Pricing - Plan level average monthly costs for formulary Part D drugs (note: this table is only available in the quarterly files). Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan. Insulin Beneficiary Cost File - Plan level copay and coinsurance amounts for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information is also available to access for the monthly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2025 data is available in the fourth quarter file of 2024. Year 2025 data continues to be available in the Q1-Q3 2025 files, then in the fourth quarter of 2025 year 2026 data becomes available. Estimated release dates for upcoming quarterly data (files reflect data for the quarter that ended the month before the file was released): 10/15/2026 1/20/2027 4/28/2027 7/21/2027 Files older than contract year 2019 can be purchased.",
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      "description": "The CMS Program Statistics - Medicare Part D tables provide use and Part D drug costs by type of Part D plan (stand-alone prescription drug plan and Medicare Advantage prescription drug plan). For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR UTLZN D 1. Medicare Part D Utilization: Average Annual Prescription Drug Fills by Type of Plan, Low Income Subsidy (LIS) Eligibility, and Generic Dispensing Rate, Yearly Trend MDCR UTLZN D 2. Medicare Part D Utilization: Average Annual Gross Drug Costs Per Part D Enrollee, by Type of Plan, Low Income Subsidy (LIS) Eligibility, and Brand/Generic Drug Classification, Yearly Trend MDCR UTLZN D 3. Medicare Part D Utilization: Average Annual Gross Drug Costs Per Part D Enrollee, by Type of Plan, Low Income Subsidy (LIS) Eligibility, and Brand/Generic Drug Classification, Yearly Trend MDCR UTLZN D 4. Medicare Part D Utilization: Average Annual Prescription Drug Fills and Average Annual Gross Drug Cost Per Part D Enrollee, by Type of Plan and Demographic Characteristics MDCR UTLZN D 5. Medicare Part D Utilization: Average Annual Prescription Drug Fills and Average Annual Gross Drug Cost Per Part D Utilizer, by Type of Plan and Demographic Characteristics MDCR UTLZN D 6. Medicare Part D Utilization: Average Annual Prescription Drug Fills and Average Annual Gross Drug Cost Per Part D Enrollee, by Type of Plan, by Area of Residence MDCR UTLZN D 7. Medicare Part D Utilization: Average Annual Prescription Drug Fills and Average Annual Gross Drug Cost Per Part D Utilizer, by Type of Plan, by Area of Residence MDCR UTLZN D 8. Medicare Part D Utilization: Number of Part D Utilizers and Average Annual Prescription Drug Fills by Type of Part D Plan, Low Income Subsidy (LIS) Eligibility, and Part D Coverage Phase, Yearly Trend MDCR UTLZN D 9. Medicare Part D Utilization: Number of Part D Utilizers and Drug Costs by Type of Part D Plan, Low Income Subsidy (LIS) Eligibility, and Part D Coverage Phase, Yearly Trend MDCR UTLZN D 10. Medicare Part D Utilization: Number of Part D Utilizers, Average Annual Prescription Drug Events (Fills) and Average Annual Gross Drug Cost Per Part D Utilizer, by Part D Coverage Phase and Demographic Characteristics MDCR UTLZN D 11. Medicare Part D Utilization: Number of Part D Utilizers, Average Annual Prescription Drug Fills and Average Annual Gross Drug Cost Per Part D Utilizer, by Part D Coverage Phase and Area of Residence",
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      "description": "The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information files contain formulary and pharmacy network data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). These non-identifiable files are available on a monthly basis and are comprised of the following tables:Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type.Geographic Locator - MA and Prescription Drug Plans region codes and county codes.Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, prior authorization, and a newly added Selected Drug flag.Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only).Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies.Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators, and brand, generic, and selected drug dispensing fees for 30/60/90 days supply, respectively.Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan.Insulin Beneficiary Cost File - Plan level copay and coinsurance amounts for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information is also available to access for the quarterly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2026 data is available in the October, November and December 2025 monthly files. Year 2026 data continues to be available in the January through September 2026 monthly files, then beginning in October of 2026 year 2027 data becomes available.Estimated release dates for upcoming monthly data (files reflect data for the month in which the file is released):10/15/2611/25/2612/23/261/20/272/17/273/17/274/28/275/26/276/23/277/21/278/18/279/29/27Files older than contract year 2019 can be purchased.",
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          "description": "The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information files contain formulary and pharmacy network data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). These non-identifiable files are available on a monthly basis and are comprised of the following tables:Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type.Geographic Locator - MA and Prescription Drug Plans region codes and county codes.Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, prior authorization, and a newly added Selected Drug flag.Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only).Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies.Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators, and brand, generic, and selected drug dispensing fees for 30/60/90 days supply, respectively.Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan.Insulin Beneficiary Cost File - Plan level copay and coinsurance amounts for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information is also available to access for the quarterly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2026 data is available in the October, November and December 2025 monthly files. Year 2026 data continues to be available in the January through September 2026 monthly files, then beginning in October of 2026 year 2027 data becomes available.Estimated release dates for upcoming monthly data (files reflect data for the month in which the file is released):10/15/2611/25/2612/23/261/20/272/17/273/17/274/28/275/26/276/23/277/21/278/18/279/29/27Files older than contract year 2019 can be purchased.",
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      ],
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      "description": "The Nursing Home Chain Performance Measures dataset provides select quality and performance measures from Care Compare for groups of nursing homes that share common individual or organizational owners, officers, or entities with operational/managerial control. The data include measures such as average health and staffing star ratings, staffing measures, average quality star ratings, select enforcement remedies, claims-based and Minimum Data Set (MDS) measures, and average Skilled Nursing Facility Quality Reporting Program (SNF QRP) metrics.",
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        "hasEmail": "mailto:NH_Chain_Inquiries@cms.hhs.gov"
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      "modified": "2025-06-11",
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      "keyword": [
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      "description": "The Medicare Dialysis Facilities data provides information on clinical and patient measures for Medicare-certified ESRD facilities, also known as dialysis facilities. It contains data on patient characteristics, treatment patterns, hospitalization, mortality, and transplantation patterns in Medicare-certified dialysis facilities. The following four data files are available for download each year, where yyyy denotes the fiscal year. DFR_Data_FYyyyy.csv file includes all summaries (facility- and regional-level) reported in the Dialysis Facility Report (DFR). The file includes one record for each dialysis facility and is the file recommended for download (i.e., wide format). dfr_facility_socrata_fyyyyy.csv file includes only facility-level summaries reported in the DFR. The file includes one record per measure per year (i.e., long format) and contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required. dfr_us_state_socrata_fyyyyyy.csv file includes state- and national-level summaries reported in DFR. The file includes one record per measure per year (i.e., long format). dfr_network_socrata_fyyyyyy.csv file includes ESRD network-level summaries reported in the DFR. The file includes one record per measure per year (i.e., long format).",
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      ],
      "landingPage": {
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        "Chronic Conditions"
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          "resourcesAPI": "https://data.cms.gov/data-api/v1/dataset-resources/efb35a96-4f04-4d22-818a-d6f69902ccb6",
          "title": "Order and Referring : 2024-11-15",
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            "title": "Data dictionary for Order and Referring : 2024-11-15",
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          "title": "Order and Referring",
          "description": "The Order and Referring dataset provides information on all physicians and non-physician practitioners, by their National Provider Identifier (NPI), who are of a type/specialty that is legally eligible to order and refer in the Medicare program and who have current enrollment records in Medicare. This dataset identifies Medicare fee-for-service ordering and referring eligibility, supporting transparency and regulatory compliance efforts. The information can be used to verify ordering and referring capabilities as required by Medicare program standards.",
          "publisher": {
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      "description": "The CMS Program Statistics - Medicare Hospice tables provide use and payment data for hospice. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR HOSPICE 1. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR HOSPICE 2. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR HOSPICE 3. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Area of Residence MDCR HOSPICE 4. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Type of Control and Type of Service Visit MDCR HOSPICE 5. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Level of Care and Site of Service MDCR HOSPICE 6. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Number of Service Visits",
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          "description": "The CMS Program Statistics - Medicare Hospice tables provide use and payment data for hospice. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR HOSPICE 1. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR HOSPICE 2. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR HOSPICE 3. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Area of Residence MDCR HOSPICE 4. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Type of Control and Type of Service Visit MDCR HOSPICE 5. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Level of Care and Site of Service MDCR HOSPICE 6. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Number of Service Visits",
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      "title": "CMS Program Statistics - Medicare Home Health Agency : 2020-02-10",
      "description": "The Medicare Home Health Agency tables provide use and payment data for home health agencies. The tables include use and expenditure data from home health Part A (Hospital Insurance) and Part B (Medical Insurance) claims. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR HHA 1. Medicare Home Health Agencies: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR HHA 2. Medicare Home Health Agencies: Utilization and Program Payments for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR HHA 3. Medicare Home Health Agencies: Utilization and Program Payments for Original Medicare Beneficiaries, by Area of Residence MDCR HHA 4. Medicare Home Health Agencies: Persons with Utilization and Total Service Visits for Original Medicare Beneficiaries, Type of Agency and Type of Service Visit MDCR HHA 5. Medicare Home Health Agencies: Persons with Utilization and Total Service Visits for Original Medicare Beneficiaries, by Type of Control and Type of Service Visit MDCR HHA 6. Medicare Home Health Agencies: Persons with Utilization, Total Service Visits, and Program Payments for Original Medicare Beneficiaries, by Number of Service Visits and Number of Episodes",
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      "@type": "Dataset",
      "title": "Opioid Treatment Program Providers : 2026-05-19",
      "description": "The Opioid Treatment Program (OTP) Providers dataset provides information on Providers who have enrolled in Medicare under the Opioid Treatment Program. It contains provider's name, National Provider Identifier (NPI), address, phone number and the effective enrollment date.",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
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      "modified": "2026-05-19",
      "language": [
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      ],
      "landingPage": {
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      "keyword": [
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        "Drugs",
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      "theme": [
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      "accessLevel": "public",
      "bureauCode": [
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      "programCode": [
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      "references": [
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      ],
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            "title": "Data dictionary for Opioid Treatment Program Providers : 2026-05-19",
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          "description": "The Opioid Treatment Program (OTP) Providers dataset provides information on Providers who have enrolled in Medicare under the Opioid Treatment Program. It contains provider's name, National Provider Identifier (NPI), address, phone number and the effective enrollment date.",
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      "@type": "Dataset",
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      "description": "The CMS Program Statistics - Medicare Deaths summary tables provide data on Medicare deaths. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL AB 33. Medicare Deaths: Total (Original Medicare and Medicare Advantage and Other Health Plan) Beneficiaries, by Month of Death, Yearly Trend MDCR ENROLL AB 34. Medicare Deaths: Total, Original Medicare, and Medicare Advantage and Other Health Plan Beneficiaries, by Demographic Characteristics MDCR ENROLL AB 35. Medicare Deaths: Total (Original Medicare and Medicare Advantage and Other Health Plan) Beneficiaries, by Area of Residence MDCR ENROLL AB 36. Medicare Deaths: Original Medicare Beneficiaries, by Month of Death, Yearly Trend MDCR ENROLL AB 37. Medicare Deaths: Original Medicare Beneficiaries, by Area of Residence MDCR ENROLL AB 38. Medicare Deaths: Medicare Advantage and Other Health Plan Beneficiaries, by Month of Death, Yearly Trend MDCR ENROLL AB 39. Medicare Deaths: Medicare Advantage and Other Health Plan Beneficiaries, by Area of Residence",
      "publisher": {
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        "name": "Office of Enterprise Data and Analytics (OEDA)",
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      "identifier": "https://data.cms.gov/data-api/v1/dataset/eff48ecd-ade0-494d-8017-59fe02448665/data-viewer",
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      "temporal": [
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          "endDate": "2023-12-31"
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      ],
      "landingPage": {
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      "theme": [
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      "description": "The Pending Initial Logging and Tracking (L & T) Non Physicians dataset provides a list of pending applications that have not been processed by CMS contractors for Non Physicians.",
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      "title": "Hospital Change of Ownership : 2025-09-01",
      "description": "The Hospital Change of Ownership (CHOW) dataset provides information on the hospital ownership changes that occurred on or after January 1, 2016. This data includes information on the buyer and seller organization’s legal business name, provider type, change of ownership type (CHOW, Acquisition/Merger, or Consolidation) and the effective date of the change.",
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      "description": "The Fiscal Intermediary Shared System (FISS) Attending and Rendering dataset provides a list of those attending and rendering physicians for the FISS. FISS edits require that the Line Item Rendering Physician information be transmitted when providers submit a combined claim. Claims that include both facility and professional components, need to report the rendering physician or other practitioner at the line level if it differs from the rendering physician/practitioner reported at the claim level. Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.",
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      "description": "The CMS Program Statistics - Medicare Providers summary tables provide data on institutional (i.e., hospitals, skilled nursing facilities, home health agencies, hospices, etc.) and non-institutional (i.e., physicians, nonphysicians, specialists, and suppliers) providers. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR PROVIDERS 1. Medicare Providers: Number of Medicare Certified Institutional Providers, Yearly Trend MDCR PROVIDERS 2. Medicare Providers: Number of Medicare Certified Inpatient Hospital and Skilled Nursing Facility Beds and Beds Per 1,000 Enrollees, Yearly Trend MDCR PROVIDERS 3. Medicare Providers: Number of Medicare Certified Facilities, by Type of Control, Yearly Trend MDCR PROVIDERS 4. Medicare Providers: Number of Skilled Nursing Facilities and Medicare Certified Hospitals, and Number of Beds, by State, Territories, Possessions and Other Areas MDCR PROVIDERS 5. Medicare Providers: Number of Medicare Certified Providers, by Type of Provider, by State, Territories, Possessions, and Other Areas MDCR PROVIDERS 6. Medicare Providers: Number of Medicare Non-Institutional Providers by Specialty, Yearly Trend MDCR PROVIDERS 7. Medicare Providers: Number of Medicare Non-Institutional Providers, by State, Territories, Possessions, and Other Areas, Yearly Trend",
      "publisher": {
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      "description": "The Fiscal Intermediary Shared System (FISS) Attending and Rendering dataset provides a list of those attending and rendering physicians for the FISS. FISS edits require that the Line Item Rendering Physician information be transmitted when providers submit a combined claim. Claims that include both facility and professional components, need to report the rendering physician or other practitioner at the line level if it differs from the rendering physician/practitioner reported at the claim level. Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.",
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        "title": "2015 National and State HAI Data Report [SIR Data]: Acute Care Hospitals [dataset]"
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          "description": "The Centers for Disease Control and Prevention (CDC) is committed to helping all Americans receive the best and safest care. Preventing healthcare-associated infections (HAIs) is a top priority for CDC and its partners in public health and healthcare. The following 2015 National and State Healthcare-Associated Infections Data Report (2015 HAI Data Report) uses the updated national baseline to provide a summary of select HAIs across four healthcare settings; acute care hospitals (ACHs), inpatient rehabilitation facilities (IRFs),long-term acute care hospitals (LTACHs) and critical access hospitals (CAHs). IRFs include hospitals, or part of a hospital, that provide intensive rehabilitation services using an interdisciplinary team approach. LTACHs provide treatment for patients who are generally very sick and stay, on average, more than 25 days The designation of CAH is assigned by the Centers for Medicare and Medicaid Services (CMS) to hospitals, which have 25 or fewer acute care inpatient beds and that maintain an annual average length of stay of 96 hours or less for acute care patients.\nThe data included in this report were submitted to CDC's National Healthcare Safety Network (NHSN), the nation's most widely used HAI tracking system, More than 23,000 hospitals and other healthcare facilities provide data to NHSN. This vital information is then used for reporting, including for this HAI Report, and for care improvement by facilities, states, regions, quality groups, and national public health agencies including CDC.\nThis report, along with the detailed technical tables, provide national and state-level data about HAI incidence during 2015. For detailed methods, references, and definitions please refer to the Technical Appendix and Glossary.\nTo help improve healthcare quality and safeguard against adverse healthcare events, CDC tracks infections, responds to outbreaks, provides infection prevention expertise and guidelines, spearheads prevention research, and serves as the nation's gold-standard microbiology laboratory for the pathogens most often implicated in HAIs. NHSN is critical in this work.\nThe 2015 HAI Data Report includes data on central line-associated bloodstream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), ventilator-associated events (VAEs), surgical site infections (SSIs), methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infections, and Clostridium difficile (C. difficile ) events.\nIn addition to the SIRs, the 2015 HAI Data Report introduces the standardized utilization ratios (SURs), also using the 2015 baseline and risk adjustment calculations. The SUR is a risk-adjusted summary measure that is used to describe device use by comparing the number of observed device days to the number of predicted device days.\nThis dataset focuses on Acute Care Hospitals.",
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      "title": "2012 National and State HAI Progress Report: Full Series of Tables for All National and State-Specific Data [dataset]",
      "description": "Data for the 2012 HAI Progress Report:\nTable 1. Characteristics of facilities reporting to NHSN by state, 2011 vs. 2012\nTable 2. National standardized infection ratios (SIR) for CLABSI, CAUTI, SSI, hospital-onset MRSA bacteremia, and hospital-onset CDI\nTable 3. State-specific SIRs for CLABSI\nTable 4. State-specific SIRs for CAUTI\nTable 5. State-specific SIRs for SSI\nTable 6. Changes in national SIRs between 2011 and 2012 for CLABSI, CAUTI, and SSI\nTable 7. Changes in state-specific SIRs between 2011 and 2012 for CLABSI from all locations combined\nAppendix A. List of procedures included in the Surgical Care Improvement Project (SCIP) and equivalent NHSN procedures, along with risk factors used in NHSN risk adjustment.",
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      "title": "2016 National and State HAI Progress Report [SIR Data]: Acute Care Hospitals [dataset]",
      "description": "Data for the 2016 National and State SIR-Acute Care Hospital HAI Progress Report: The Centers for Disease Control and Prevention (CDC) is committed to protecting patients and healthcare workers from adverse healthcare events and promoting safety, quality, and value in healthcare delivery. Preventing healthcare-associated infections (HAIs) is a top priority for CDC and its partners in public health and healthcare. The 2016 National and State Healthcare-Associated Infections (HAI) Progress Report provides a summary of select HAIs across four healthcare settings; acute care hospitals (ACHs), critical access hospitals(CAHs), inpatient rehabilitation facilities (IRFs) and long-term acute care hospitals (LTACHs).\nThe 2016 National and State HAI Progress Report provides data on central line-associated bloodstream infections (CLABSIs),catheter-associated urinary tract infections (CAUTIs), ventilator-associated events (VAEs), surgical site infections (SSIs), methicillin-resistant Staphylococcus aureus (MRSA)bloodstream events, and Clostridioides difficile (C. difficile) events. For each of the four healthcare settings, the report consists of national factsheets and detailed technical tables; the national factsheets provide a high-level view of HAIs at a national level, while the technical tables include additional statistics about HAIs, reporting mandates, and data validation efforts in each state and select US territories.",
      "contactPoint": [
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          "description": "This data set allows NHANES III public-use survey data to be linked to mortality information from the NDI. In the Supporting Files section of this record, you will see a Zip folder [NHANES_3_mortality_data_2018.zip] with NHANES III Mortality dataset and related documentation for public use.\nSee also https://data.cdc.gov/National-Center-for-Health-Statistics/Public-Use-Linked-Mortality-Files/r9nv-zxge/about_data",
          "accessURL": "https://doi.org/10.15620/cdc:117141",
          "downloadURL": "https://stacks.cdc.gov/view/cdc/117141/cdc_117141_DS3.zip",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/117141",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1001-2013-0",
      "title": "Gene Expression Profiles of Di-N-Butyl Phthalate in Normal Human Mammary Epithelial Cells (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1001-2013-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1001-2013-0</a>.\nDi-n-butyl phthalate is a known endocrine disruptor and has been found in increased levels in women of childbearing age. To investigate mechanisms of phthalate toxicity in normal human cells and to provide information concerning inter-individual variation and gene-environment interactions. Protocol and Methodology: Normal human mammary epithelial cell strains were obtained from discarded tissues following reduction mammoplasty. Gene transcription in each of 4 cell strains was analyzed using high-density oligonucleotide DNA microarrays (U133A, Affymetrix(TM)) and changes in the expression of selected genes were verified by real-time polymerase chain reaction. DNA microarrays were hybridized with total RNA that was collected after DBP treatment for 5 hr and 10 hr. Data Mining Tool software (Affymetrix) was used to separate genes in clusters based on their expression patterns over time. <a href=\"https://www.cdc.gov/niosh/data/datasets/1001/pdfs/ds1001method-508.pdf\"target=\"_blank\">View detailed descriptions of the methods [PDF - 190KB].</a> [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Physical Effects Research Branch (PERB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
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            "name": "Centers for Disease Control and Prevention (CDC)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2013-01-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Biomarkers\nChemistry\nGenetics\nHazardous Substances\nHypersensitivity\nNeoplasms\nOccupational Health\nSafety\nUrogenital System\nWomen"
        }
      ],
      "keyword": [
        "Women\nCancer-rates\nChemical-hypersensitivity\nChemical-indicators\nChemical-properties\nCell-alteration\nCell-biology\nCell-growth\nCell-metabolism\nCellular-reactions\nFertility\nGenes\nGenetic-factors\nGene-mutation\nToxic-effects\nBiomarkers\nBiological-function"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248237",
        "title": "Gene Expression Profiles of Di-N-Butyl Phthalate in Normal Human Mammary Epithelial Cells (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
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      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
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        {
          "@type": "OtherIdentifier",
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        }
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        {
          "@type": "Distribution",
          "title": "Gene Expression Profiles of Di-N-Butyl Phthalate in Normal Human Mammary Epithelial Cells (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1001-2013-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1001-2013-0</a>.\nDi-n-butyl phthalate is a known endocrine disruptor and has been found in increased levels in women of childbearing age. To investigate mechanisms of phthalate toxicity in normal human cells and to provide information concerning inter-individual variation and gene-environment interactions. Protocol and Methodology: Normal human mammary epithelial cell strains were obtained from discarded tissues following reduction mammoplasty. Gene transcription in each of 4 cell strains was analyzed using high-density oligonucleotide DNA microarrays (U133A, Affymetrix(TM)) and changes in the expression of selected genes were verified by real-time polymerase chain reaction. DNA microarrays were hybridized with total RNA that was collected after DBP treatment for 5 hr and 10 hr. Data Mining Tool software (Affymetrix) was used to separate genes in clusters based on their expression patterns over time. <a href=\"https://www.cdc.gov/niosh/data/datasets/1001/pdfs/ds1001method-508.pdf\"target=\"_blank\">View detailed descriptions of the methods [PDF - 190KB].</a> [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/248237",
          "downloadURL": "https://data.cdc.gov/download/jj3m-siz7/application%2Fx-zip-compressed",
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          "license": "https://creativecommons.org/public-domain/",
          "rights": [
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            "@type": "Document",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1002-2013-0",
      "title": "Prevalence of pneumoconiosis and its relationship to dust exposure in a cohort of U.S. bituminous coal miners and ex-miners (dataset).",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1002-2013-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1002-2013-0</a>.\nInformation on radiographic evidence of coal workers' pneumoconiosis (CWP) is presented for a group of 3,194 underground bituminous coal miners and ex-miners examined between 1985 and 1988. Prevalence of CWP was related to estimated cumulative dust exposure, age, and rank of coal. On the basis of these data, miners of medium to low rank coal, who work for 40 years at the current federal dust limit of 2 mg/m3, are predicted to have a 1.4% risk of having progressive massive fibrosis on retirement. Higher prevalences are predicted for less severe categories of CWP. Miners in high rank coal areas appear to be at greater risk than those mining medium and low rank coals. Ex-miners who said that they left mining for health-related reasons had higher levels of abnormality compared to current miners. Data Collection Methods: A large epidemiological study, denoted the National Study of Coal Workers' Pneumoconiosis (NSCWP), was begun by the U.S. Public Health Service These results comprise information from this study on prevalence of coal workers' pneumoconiosis (CWP) and its relationship with dust exposure. Initially, 31 underground mines around the country were visited by a mobile examination trailer staffed by a medical team. Radiological data, information on ventilatory function and respiratory symptoms, and data on work and smoking history were obtained on over 9,000 active miners. This first round of the study was followed by similar second and third rounds of medical surveys of active miners at Division of Respiratory Disease Studies, NIOSH, at essentially the same mines at roughly 5-year intervals. The data presented here are drawn from the most recent (1985-1988) round of surveys, i.e., Round 4, a follow-up study of selected Round 1 and Round 2 participants. Many of the miners in the studied cohort had started work in coal mining around 1970. Much, if not all, of their mining tenure therefore coincides with the period when dust levels were mandated to be 3 mg/m3 (1970-1972) and 2 mg/m3 (1972 onwards) [Coal Mine Health and Safety Act, 1969]. These levels compare to dust concentrations of 6 mg/m3 or more for face workers recorded before 1970 and applicable to a previous exposure-response analysis of CWP. The results given in this report therefore not only provide further information on exposure-response, but also supply information pertinent to miners working in current coal mining conditions. <a href=\"https://www.cdc.gov/niosh/data/datasets/1002/pdfs/ds1002method-508.pdf\"target=\"_blank\">View detailed descriptions of the methods.</a> [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Physical Effects Research Branch (PERB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
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      ],
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        ]
      },
      "accessRights": "public",
      "issued": "2013-03-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Coal\nCoal Mining\nDust\nEpidemiology\nLung\nLung Diseases\nMining\nOccupational Exposure\nOccupational Health\nRadiography\nRespiratory System\nRespiratory Tract Diseases\nRisk Assessment\nRisk Factors\nSafety"
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      ],
      "keyword": [
        "Coal-workers-pneumoconiosis\nEpidemiology\nChest-X-rays\nCoal-dust\nOccupational-exposure\nLung-fibrosis\nRisk-factors\nRespiratory-system-disorders\nUnderground-mining\nUnderground-miners\nMining-industry\nMiners"
      ],
      "spatial": [
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          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
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        "@type": "Document",
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      ],
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        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/rv55-x8ff",
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          "@type": "Distribution",
          "title": "Prevalence of pneumoconiosis and its relationship to dust exposure in a cohort of U.S. bituminous coal miners and ex-miners (dataset).",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1002-2013-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1002-2013-0</a>.\nInformation on radiographic evidence of coal workers' pneumoconiosis (CWP) is presented for a group of 3,194 underground bituminous coal miners and ex-miners examined between 1985 and 1988. Prevalence of CWP was related to estimated cumulative dust exposure, age, and rank of coal. On the basis of these data, miners of medium to low rank coal, who work for 40 years at the current federal dust limit of 2 mg/m3, are predicted to have a 1.4% risk of having progressive massive fibrosis on retirement. Higher prevalences are predicted for less severe categories of CWP. Miners in high rank coal areas appear to be at greater risk than those mining medium and low rank coals. Ex-miners who said that they left mining for health-related reasons had higher levels of abnormality compared to current miners. Data Collection Methods: A large epidemiological study, denoted the National Study of Coal Workers' Pneumoconiosis (NSCWP), was begun by the U.S. Public Health Service These results comprise information from this study on prevalence of coal workers' pneumoconiosis (CWP) and its relationship with dust exposure. Initially, 31 underground mines around the country were visited by a mobile examination trailer staffed by a medical team. Radiological data, information on ventilatory function and respiratory symptoms, and data on work and smoking history were obtained on over 9,000 active miners. This first round of the study was followed by similar second and third rounds of medical surveys of active miners at Division of Respiratory Disease Studies, NIOSH, at essentially the same mines at roughly 5-year intervals. The data presented here are drawn from the most recent (1985-1988) round of surveys, i.e., Round 4, a follow-up study of selected Round 1 and Round 2 participants. Many of the miners in the studied cohort had started work in coal mining around 1970. Much, if not all, of their mining tenure therefore coincides with the period when dust levels were mandated to be 3 mg/m3 (1970-1972) and 2 mg/m3 (1972 onwards) [Coal Mine Health and Safety Act, 1969]. These levels compare to dust concentrations of 6 mg/m3 or more for face workers recorded before 1970 and applicable to a previous exposure-response analysis of CWP. The results given in this report therefore not only provide further information on exposure-response, but also supply information pertinent to miners working in current coal mining conditions. <a href=\"https://www.cdc.gov/niosh/data/datasets/1002/pdfs/ds1002method-508.pdf\"target=\"_blank\">View detailed descriptions of the methods.</a> [Description provided by NIOSH]",
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    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1003-2013-0",
      "title": "An investigation into the relationship between coal workers' pneumoconiosis and dust exposure in U.S. coal miners (dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1003-2013-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1003-2013-0</a>.\nThe National Study of Coal Workers' Pneumoconiosis (NSCWP) is a large, continuing epidemiologic study of the respiratory health of U.S. coal miners. By using information from the study, prevalence of coal workers' pneumoconiosis (CWP) was related to indexes of dust exposure obtained from research and compliance sampling data. Clear relationships between prevalences of both simple CWP and progressive massive fibrosis (PMF) and estimated dust exposure were seen. Additional effects independently associated with coal rank (% carbon) and age were also seen. Logistic model fitting indicated that between 2% and 12% of miners exposed to a 2-mg/m3 dust environment in bituminous coal mines would be expected to have Category 2 or greater CWP after a 40-yr working life; PMF would be expected for between 1.3% and 6.7%. The risks for anthracite miners appeared to be greater. There was a suggestion of a background level of abnormality, not associated with dust exposure, but increasing with age. Although there are certain weaknesses in the data used to derive these exposure estimates, the results are in general agreement with, but somewhat greater than, some recent findings for British coal miners. Data Collection Methods: Round 1 of the The National Study of Coal Workers' Pneumoconiosis (NSCWP) took place between 1969 and 1971. During that time, 31 underground mines situated in all of the major coal fields were visited and the miners examined medically before or after the work shift. The examination consisted of chest x-rays, spirometry, and a questionnaire having sections on work history, smoking history, and chest symptoms. Dust levels at 17 of the 31 mines were sampled intensively between 1968 and 1969. The resulting data, together with those from a number of other large mines were used to calculate personal exposure estimates for the miners at the 31 mines. <a href=\"https://www.cdc.gov/niosh/data/datasets/1003/pdfs/ds1003method-508.pdf\"target=\"_blank\">Detailed descriptions of the methods are provided here.</a> [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Respiratory Health Division (RHD). Surveillance Branch (SB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
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        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
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          {
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            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2013-02-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Coal\nCoal Mining\nDemography\nDust\nEpidemiology\nLung\nLung Diseases\nMining\nOccupational Exposure\nOccupational Health\nRespiratory System\nRespiratory Tract Diseases\nRisk Assessment\nRisk Factors\nSafety"
        }
      ],
      "keyword": [
        "Coal-workers-pneumoconiosis\nEpidemiology\nCoal-dust\nOccupational-exposure\nLung-fibrosis\nRisk-factors\nRespiratory-system-disorders\nUnderground-mining\nUnderground-miners\nMining-industry\nMiners\nDemographic-characteristics"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248239",
        "title": "An investigation into the relationship between coal workers' pneumoconiosis and dust exposure in U.S. coal miners (dataset)"
      },
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        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
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      ],
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        "Public Domain"
      ],
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        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/nnvr-zdhw",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
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      "distribution": [
        {
          "@type": "Distribution",
          "title": "An investigation into the relationship between coal workers' pneumoconiosis and dust exposure in U.S. coal miners (dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1003-2013-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1003-2013-0</a>.\nThe National Study of Coal Workers' Pneumoconiosis (NSCWP) is a large, continuing epidemiologic study of the respiratory health of U.S. coal miners. By using information from the study, prevalence of coal workers' pneumoconiosis (CWP) was related to indexes of dust exposure obtained from research and compliance sampling data. Clear relationships between prevalences of both simple CWP and progressive massive fibrosis (PMF) and estimated dust exposure were seen. Additional effects independently associated with coal rank (% carbon) and age were also seen. Logistic model fitting indicated that between 2% and 12% of miners exposed to a 2-mg/m3 dust environment in bituminous coal mines would be expected to have Category 2 or greater CWP after a 40-yr working life; PMF would be expected for between 1.3% and 6.7%. The risks for anthracite miners appeared to be greater. There was a suggestion of a background level of abnormality, not associated with dust exposure, but increasing with age. Although there are certain weaknesses in the data used to derive these exposure estimates, the results are in general agreement with, but somewhat greater than, some recent findings for British coal miners. Data Collection Methods: Round 1 of the The National Study of Coal Workers' Pneumoconiosis (NSCWP) took place between 1969 and 1971. During that time, 31 underground mines situated in all of the major coal fields were visited and the miners examined medically before or after the work shift. The examination consisted of chest x-rays, spirometry, and a questionnaire having sections on work history, smoking history, and chest symptoms. Dust levels at 17 of the 31 mines were sampled intensively between 1968 and 1969. The resulting data, together with those from a number of other large mines were used to calculate personal exposure estimates for the miners at the 31 mines. <a href=\"https://www.cdc.gov/niosh/data/datasets/1003/pdfs/ds1003method-508.pdf\"target=\"_blank\">Detailed descriptions of the methods are provided here.</a> [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/248239",
          "downloadURL": "https://data.cdc.gov/download/nnvr-zdhw/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/248239",
            "title": "Metadata on HTML Repository Page"
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1004-2013-0",
      "title": "Deepwater Horizon response air sampling data (dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1004-2013-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1004-2013-0</a>.\nThe April 20, 2010, explosion and collapse of the BP Deepwater Horizon oil platform in the Gulf of Mexico resulted in the release of millions of barrels of oil into Gulf waters. The response to this disaster involved the efforts of tens of thousands of workers in a variety of capacities across Louisiana, Mississippi, Alabama, Florida, Texas, and in the Gulf of Mexico itself. The diverse work included oil and tar ball removal from beaches, oil skimming and booming near shores, burning of surface oil near the source of the oil release, surface application of dispersant by vessels and aircraft, and containment and recovery work on vessels at the release site. The nature of these activities raised concerns about potential occupational exposures to chemical and physical hazards and mental stressors. NIOSH investigators conducted health hazard evaluations (HHEs) of Deepwater Horizon Response onshore and offshore workers. The goals of the NIOSH HHE assessments were to describe acute health effects, evaluate occupational exposures in qualitative or quantitative assessments, and generate hypotheses regarding symptoms potentially related to work activities. Environmental air samples were collected in support of the goals. NIOSH investigators conducted the following exposure evaluations: 1.We conducted evaluations on board vessels releasing dispersant. These vessels were deployed to perform small-scale releases of dispersant in an area with surface oil contamination. 2.We assessed exposures during in-situ (i.e., on site) burns of surface oil. 3.We assessed exposures on fishing and shrimping trawlers in the Vessels of Opportunity (VoO) program that were assigned to remove surface oil by booming and skimming. 4.We assessed exposures aboard vessels located at the Deepwater Horizon incident site. 5.We assessed exposures during boom and vessel decontamination operations. Data Collection Methods: Personal breathing zone and general area air samples were analyzed using methods from the NIOSH Manual of Analytical Methods (NMAM) <a href=\"https://www.cdc.gov/niosh/docs/2003-154/\"target=\"_blank\">[https://www.cdc.gov/niosh/docs/2003-154/],</a> the Occupational Safety and Health Administration <a href=\"http://www.osha.gov/dts/sltc/methods/\"target=\"_blank\">[http://www.osha.gov/dts/sltc/methods/],</a> and the Environmental Protection Agency <a href=\"http://www.epa.gov/ttn/amtic/airtox.html\"target=\"_blank\"> [http://www.epa.gov/ttn/amtic/airtox.html].</a> The method used to analyze each sample is identified in the dataset. NIOSH investigators used direct-reading instrumentation to evaluate exposures to carbon monoxide Direct reading-GasAlert CO Extream, BW Technologies Ltd., Calgary Canada] and hydrogen sulfide [Direct reading-GasAlert H2S Extream, BW Technologies Ltd., Calgary Canada]. NIOSH investigators collected short-term air samples which represented exposure during specific activities or work tasks, long-term air samples which more closely represented full-shift occupational exposures, or both during an exposure evaluation. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Division of Field Studies and Evaluation (DFSE). Hazard Evaluation and Technical Assistance Branch (HETA)",
          "hasEmail": "mailto:HHERequestHelp@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2013-03-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Fatigue\nMental Disorders\nMental Health\nOccupational Health\nOil and Gas Industry\nSafety\nStress"
        },
        {
          "@type": "Concept",
          "prefLabel": "Psychological"
        }
      ],
      "keyword": [
        "Mental-fatigue\nMental-stress\nOil-recovery\nOil-industry\nOils\nOil-vapors"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Alabama\nFlorida\nLouisiana\nMississippi\nOhio\nOSHA Region 4\nOSHA Region 5\nOSHA Region 6\nTexas"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248240",
        "title": "Deepwater Horizon response air sampling data (dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/ha59-j5yk",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248240",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Deepwater Horizon response air sampling data (dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1004-2013-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1004-2013-0</a>.\nThe April 20, 2010, explosion and collapse of the BP Deepwater Horizon oil platform in the Gulf of Mexico resulted in the release of millions of barrels of oil into Gulf waters. The response to this disaster involved the efforts of tens of thousands of workers in a variety of capacities across Louisiana, Mississippi, Alabama, Florida, Texas, and in the Gulf of Mexico itself. The diverse work included oil and tar ball removal from beaches, oil skimming and booming near shores, burning of surface oil near the source of the oil release, surface application of dispersant by vessels and aircraft, and containment and recovery work on vessels at the release site. The nature of these activities raised concerns about potential occupational exposures to chemical and physical hazards and mental stressors. NIOSH investigators conducted health hazard evaluations (HHEs) of Deepwater Horizon Response onshore and offshore workers. The goals of the NIOSH HHE assessments were to describe acute health effects, evaluate occupational exposures in qualitative or quantitative assessments, and generate hypotheses regarding symptoms potentially related to work activities. Environmental air samples were collected in support of the goals. NIOSH investigators conducted the following exposure evaluations: 1.We conducted evaluations on board vessels releasing dispersant. These vessels were deployed to perform small-scale releases of dispersant in an area with surface oil contamination. 2.We assessed exposures during in-situ (i.e., on site) burns of surface oil. 3.We assessed exposures on fishing and shrimping trawlers in the Vessels of Opportunity (VoO) program that were assigned to remove surface oil by booming and skimming. 4.We assessed exposures aboard vessels located at the Deepwater Horizon incident site. 5.We assessed exposures during boom and vessel decontamination operations. Data Collection Methods: Personal breathing zone and general area air samples were analyzed using methods from the NIOSH Manual of Analytical Methods (NMAM) <a href=\"https://www.cdc.gov/niosh/docs/2003-154/\"target=\"_blank\">[https://www.cdc.gov/niosh/docs/2003-154/],</a> the Occupational Safety and Health Administration <a href=\"http://www.osha.gov/dts/sltc/methods/\"target=\"_blank\">[http://www.osha.gov/dts/sltc/methods/],</a> and the Environmental Protection Agency <a href=\"http://www.epa.gov/ttn/amtic/airtox.html\"target=\"_blank\"> [http://www.epa.gov/ttn/amtic/airtox.html].</a> The method used to analyze each sample is identified in the dataset. NIOSH investigators used direct-reading instrumentation to evaluate exposures to carbon monoxide Direct reading-GasAlert CO Extream, BW Technologies Ltd., Calgary Canada] and hydrogen sulfide [Direct reading-GasAlert H2S Extream, BW Technologies Ltd., Calgary Canada]. NIOSH investigators collected short-term air samples which represented exposure during specific activities or work tasks, long-term air samples which more closely represented full-shift occupational exposures, or both during an exposure evaluation. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/248240",
          "downloadURL": "https://data.cdc.gov/download/ha59-j5yk/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/248240",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1007-2015-0",
      "title": "Firefighter body dimensions for updating safety specifications for fire apparatus and firefighter protective equipment (dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1007-2015-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1007-2015-0</a>.\nUp-to-date anthropometric information (body dimensions) of the U.S. firefighter population is needed for updating ergonomic and safety specifications for fire apparatus. Seventy-one measurements relevant to the design of seats, seat belts, cabs, turnout gear, gloves, and head-and-face gear are presented in this webpage. Forty of the 71 measurements were collected with the participants in fitted shorts in both standing and seated postures. Twenty-one of the 71 measurements were collected while the participants were wearing their personal turnout gear, including personal selection of tools stored in their pockets, in both standing and seated postures. Ten of the 71 measurements were hand- and head/face-related dimensions extracted from hand and head/face scans. The data obtained in this study provide the first available U.S. national firefighter anthropometric information which will benefit the design of future fire apparatus and protective equipment to better protect firefighters. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Division of Safety Research (DSR). Protective Technology Branch (PTB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2015-10-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Firefighters\nFires\nOccupational Health\nPersonal Protective Equipment\nSafety"
        }
      ],
      "keyword": [
        "Fire-fighters\nAnthropometry\nFire-fighting-equipment\nPersonal-protective-equipment"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248281",
        "title": "Firefighter body dimensions for updating safety specifications for fire apparatus and firefighter protective equipment (dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/xup8-ahj8",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248281",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Firefighter body dimensions for updating safety specifications for fire apparatus and firefighter protective equipment (dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1007-2015-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1007-2015-0</a>.\nUp-to-date anthropometric information (body dimensions) of the U.S. firefighter population is needed for updating ergonomic and safety specifications for fire apparatus. Seventy-one measurements relevant to the design of seats, seat belts, cabs, turnout gear, gloves, and head-and-face gear are presented in this webpage. Forty of the 71 measurements were collected with the participants in fitted shorts in both standing and seated postures. Twenty-one of the 71 measurements were collected while the participants were wearing their personal turnout gear, including personal selection of tools stored in their pockets, in both standing and seated postures. Ten of the 71 measurements were hand- and head/face-related dimensions extracted from hand and head/face scans. The data obtained in this study provide the first available U.S. national firefighter anthropometric information which will benefit the design of future fire apparatus and protective equipment to better protect firefighters. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/248281",
          "downloadURL": "https://data.cdc.gov/download/xup8-ahj8/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/248281",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1008-2016-0",
      "title": "Anthropometric database for the EMTs in the United States (dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1008-2016-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1008-2016-0</a>.\nDeaths or serious injuries among emergency medical technicians (EMTs) and other ambulance occupants occur at a high rate during transport. According to a study by the National Institute for Occupational Safety and Health (NIOSH), EMTs and paramedics have higher fatality rates when compared to all workers, with forty-five percent of EMT deaths resulting from highway incidents, primarily due to vehicle collisions. Data from the National Highway and Traffic Safety Administration showed that among the persons killed in crashes involving an ambulance between 1992 and 2011, twenty one percent were EMTs and patients, while four percent were ambulance drivers. To reduce injury potential to the EMTs and other ambulance occupants, NIOSH, the Department of Homeland Security, the U.S. General Services Administration, and the National Institute of Standards and Technology, along with private industry partners, have committed to improving the workspace design of ambulance patient compartments for safe and effective performance. Up-to-date EMT anthropometric data were needed for this effort. Between December 2013 and May 2015, NIOSH conducted a nationwide anthropometric survey of 472 male and 161 female EMTs in the continental U.S. A total of 40 measurements (39 body dimensions and weight) were taken on the basis of their utility in facilitating the patient compartment design. All measurements were taken while participants wore lab attire (shorts for men; shorts and sports bras for women), and assumed either a standing or seated posture. The current database consists of summary statistics (mean, standard deviation, standard error, N, and percentiles) of all 40 measurements in both metric and English units. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Division of Safety Research (DSR). Protective Technology Branch (PTB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2016-11-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Emergency Responders\nEngineering\nMen\nOccupational Health\nSafety\nWomen"
        }
      ],
      "keyword": [
        "Anthropometry\nEmergency responders\nEmergency medical technician\nEMT\nParamedical services\nParamedics\nHumans\nMen\nWomen\nInjury prevention\nEngineering controls"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/203526",
        "title": "Anthropometric database for the EMTs in the United States (dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/2tj4-nah7",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/203526",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Anthropometric database for the EMTs in the United States (dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1008-2016-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1008-2016-0</a>.\nDeaths or serious injuries among emergency medical technicians (EMTs) and other ambulance occupants occur at a high rate during transport. According to a study by the National Institute for Occupational Safety and Health (NIOSH), EMTs and paramedics have higher fatality rates when compared to all workers, with forty-five percent of EMT deaths resulting from highway incidents, primarily due to vehicle collisions. Data from the National Highway and Traffic Safety Administration showed that among the persons killed in crashes involving an ambulance between 1992 and 2011, twenty one percent were EMTs and patients, while four percent were ambulance drivers. To reduce injury potential to the EMTs and other ambulance occupants, NIOSH, the Department of Homeland Security, the U.S. General Services Administration, and the National Institute of Standards and Technology, along with private industry partners, have committed to improving the workspace design of ambulance patient compartments for safe and effective performance. Up-to-date EMT anthropometric data were needed for this effort. Between December 2013 and May 2015, NIOSH conducted a nationwide anthropometric survey of 472 male and 161 female EMTs in the continental U.S. A total of 40 measurements (39 body dimensions and weight) were taken on the basis of their utility in facilitating the patient compartment design. All measurements were taken while participants wore lab attire (shorts for men; shorts and sports bras for women), and assumed either a standing or seated posture. The current database consists of summary statistics (mean, standard deviation, standard error, N, and percentiles) of all 40 measurements in both metric and English units. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/203526",
          "downloadURL": "https://data.cdc.gov/download/2tj4-nah7/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/203526",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1009-2019-0",
      "title": "Respirator Performance Against Nanoparticles Under Simulated Workplace Activities (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1009-2019-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1009-2019-0</a>.\nFiltering facepiece respirators (FFRs) and elastomeric half-mask respirators (EHRs) are commonly used by workers for protection against potentially hazardous particles, including engineered nanoparticles (i.e., particles measuring less than 100 nanometers (nm). The purpose of this study was to evaluate the performance of these types of respirators against 10-400 nm particles using human subjects exposed to NaCl aerosols under simulated workplace activities. Simulated workplace protection factors (SWPFs) were measured for eight combinations of respirator models (2 N95 FFRs, 2 P100 FFRs, 2 N95 EHRs, and 2 P100 EHRs) worn by 25 healthy test subjects (13 females and 12 males) with varying face sizes. Before beginning a SWPF test for a given respirator model, each subject had to pass a quantitative fit test. Each SWPF test was performed using a protocol of six exercises for three minutes each: (i) normal breathing, (ii) deep breathing, (iii) moving head side to side, (iv) moving head up and down, (v) bending at the waist, and (vi) a simulated laboratory-vessel cleaning motion. Two scanning mobility particle sizers were used simultaneously to measure the upstream (outside the respirator) and downstream (inside the respirator) test aerosol; SWPF was then calculated as a ratio of the upstream and downstream particle concentrations. In general, geometric mean SWPF trend holds true for nanoparticles (10-100 nm), larger size particles (100-400 nm), and the 'all size' range (10-400 nm). All respirators provided better or similar performance levels for 10-100 nm particles as compared to larger 100-400 nm particles. This study found that class P100 respirators provided higher SWPFs compared to class N95 respirators (P < 0.05) for both FFR and HER types. All respirators provided expected performance (i.e. fifth percentile SWPF > 10) against all particle size ranges tested. Download Data: The data for this study is available in CVS and XLS formats. Data Collection Methods: This data was collected using a human subject model. Twenty-five healthy subjects with varying face sizes were used. The panel consisted of 13 females and 12 males ranging from 19 to 65 years of age. The PortaCount Fit Factor was calculated for each respirator on each subject prior to SWPF testing using a particle generator, a PortaCount Plus instrument, and the standard fit test method. The PortaCount plus instrument measured the ratio of upstream and downstream concentrations during each exercise in the fit test regime, and then calculated the harmonic mean of these ratios. This harmonic mean is the reported value. For the SWPF testing, subjects performed a regime of six exercises for three minutes each, while wearing each respirator type/model in a sodium chloride aerosol-filled chamber. Each subject tested each respirator type three times. Scanning mobility particle sizers (SMPS) measured the concentration and size distribution of particles upstream and downstream, simultaneously. The SWPF for each exercise was calculated as a ratio of the upstream and downstream particle concentrations and is displayed in the data. More detailed data collection methods and materials can be found in Vo et al. (2015). [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Personal Protective Technology Laboratory (NPPTL). Research Branch (RB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2019-01-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Men\nOccupational Health\nPersonal Protective Equipment\nRespiratory Protective Devices\nSafety\nWomen"
        }
      ],
      "keyword": [
        "Respiratory rate\nRespirators\nRespirator certification\nRespirator selection\nRespirator testing\nNanomaterials\nNanoparticles\nHalf facepiece respirators\nHumans\nMen\nWomen"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nPennsylvania"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/216962",
        "title": "Respirator Performance Against Nanoparticles Under Simulated Workplace Activities (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/5y75-rs75",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/216962",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Respirator Performance Against Nanoparticles Under Simulated Workplace Activities (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1009-2019-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1009-2019-0</a>.\nFiltering facepiece respirators (FFRs) and elastomeric half-mask respirators (EHRs) are commonly used by workers for protection against potentially hazardous particles, including engineered nanoparticles (i.e., particles measuring less than 100 nanometers (nm). The purpose of this study was to evaluate the performance of these types of respirators against 10-400 nm particles using human subjects exposed to NaCl aerosols under simulated workplace activities. Simulated workplace protection factors (SWPFs) were measured for eight combinations of respirator models (2 N95 FFRs, 2 P100 FFRs, 2 N95 EHRs, and 2 P100 EHRs) worn by 25 healthy test subjects (13 females and 12 males) with varying face sizes. Before beginning a SWPF test for a given respirator model, each subject had to pass a quantitative fit test. Each SWPF test was performed using a protocol of six exercises for three minutes each: (i) normal breathing, (ii) deep breathing, (iii) moving head side to side, (iv) moving head up and down, (v) bending at the waist, and (vi) a simulated laboratory-vessel cleaning motion. Two scanning mobility particle sizers were used simultaneously to measure the upstream (outside the respirator) and downstream (inside the respirator) test aerosol; SWPF was then calculated as a ratio of the upstream and downstream particle concentrations. In general, geometric mean SWPF trend holds true for nanoparticles (10-100 nm), larger size particles (100-400 nm), and the 'all size' range (10-400 nm). All respirators provided better or similar performance levels for 10-100 nm particles as compared to larger 100-400 nm particles. This study found that class P100 respirators provided higher SWPFs compared to class N95 respirators (P < 0.05) for both FFR and HER types. All respirators provided expected performance (i.e. fifth percentile SWPF > 10) against all particle size ranges tested. Download Data: The data for this study is available in CVS and XLS formats. Data Collection Methods: This data was collected using a human subject model. Twenty-five healthy subjects with varying face sizes were used. The panel consisted of 13 females and 12 males ranging from 19 to 65 years of age. The PortaCount Fit Factor was calculated for each respirator on each subject prior to SWPF testing using a particle generator, a PortaCount Plus instrument, and the standard fit test method. The PortaCount plus instrument measured the ratio of upstream and downstream concentrations during each exercise in the fit test regime, and then calculated the harmonic mean of these ratios. This harmonic mean is the reported value. For the SWPF testing, subjects performed a regime of six exercises for three minutes each, while wearing each respirator type/model in a sodium chloride aerosol-filled chamber. Each subject tested each respirator type three times. Scanning mobility particle sizers (SMPS) measured the concentration and size distribution of particles upstream and downstream, simultaneously. The SWPF for each exercise was calculated as a ratio of the upstream and downstream particle concentrations and is displayed in the data. More detailed data collection methods and materials can be found in Vo et al. (2015). [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/216962",
          "downloadURL": "https://data.cdc.gov/download/5y75-rs75/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/216962",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1010-2019-1",
      "title": "Projectile Fluid Penetration and Flammability of Respirators and Other Head/Facial Personal Protective Equipment (FPFPPE) (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1010-2019-1\"target=\"_blank\">https://doi.org/10.26616/NIOSHRD-1010-2019-1</a>.\nIntroduction: The U.S. Food and Drug Administration (FDA) requires surgical masks (SMs) and surgical N95 respirators used in healthcare to meet certain fluid resistance and flammability levels. NIOSH's National Personal Protective Technology Laboratory (NPPTL) investigated the fluid penetration and flammability of respirators and other head/facial personal protective equipment to determine their efficacy in reducing healthcare workers' risk for occupational exposures to infectious microorganisms and injury due to accidental fires in surgical settings. The results from this study showed that FDA cleared SMs and surgical N95 respirators were resistant to synthetic blood penetration (Rengasamy et al. 2014) and met the flammability levels (Rengasamy et al. 2018) as expected. Seven out of eleven non-FDA cleared NIOSH-approved N95 filtering facepiece respirator models also passed the synthetic blood penetration and flammability tests. NPPTL tested five models of powered air-purifying respirator (PAPR) hoods and all models showed resistance to synthetic blood penetration and flammability levels. This may be important to ensure protection to healthcare workers since the use of PAPRs in healthcare is likely to increase because of their higher protection levels. None of the surgical head cover models tested in the study showed resistance to synthetic blood penetration, but they did meet flammability levels. Further tests on the rigidity of six surgical N95 respirators showed that flat fold models might collapse at high breathing flow rates, and high temperature and relative humidity conditions (Rengasamy and Niezgoda, 2019). Healthcare workers may need to be aware of this as penetration of infected bodily fluids may spread diseases. Download Data: The primary data pertaining to projectile fluid penetration and flammability of respirators and other head/facial personal protective equipment (FPFPPE) research are available in CSV format. The data are presented in eleven tables. The data dictionary is available in PDF format. Data Collection Methods: Blood penetration resistance: Resistance to a synthetic blood penetration of respiratory devices was evaluated using the ASTM F1862 method (ASTM, 2000). Fluid penetration was measured at 450 cm/sec and/or at 635 cm/sec velocities. Flammability: The flammability level of N95 FFRs and other PPE was evaluated following the Consumer Product Safety Commission (CPSC) CS-191-53 flammability (Federal Register 2008) method. The burn time for five samples of each N95 FFR model was measured, and the average burn time was calculated. The average burn times of >3, 3.5 to 7.0, and <3.0 seconds represent flammability class 1, class 2 and class 3, respectively. Detailed descriptions of the methods are provided here: <a href=\"https://www.cdc.gov/niosh/data/datasets/rd-1010-2019-1/pdfs/Methods-508.pdf\"target=\"_blank\">Methods.pdf</a>. Acknowledgements: When a publication makes use of this dataset, acknowledgement of the development of the dataset should be attributed to NIOSH NPPTL. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Personal Protective Technology Laboratory (NPPTL). Research Branch (RB)",
          "hasEmail": "mailto:ODAdmin@cdc.gov"
        }
      ],
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        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)",
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      },
      "accessRights": "public",
      "issued": "2019-06-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Men\nOccupational Health\nPersonal Protective Equipment\nRespiratory Protective Devices\nSafety\nWomen"
        }
      ],
      "keyword": [
        "Respiratory rate\nRespirators\nRespirator certification\nRespirator selection\nRespirator testing\nNanomaterials\nNanoparticles\nHalf facepiece respirators\nHumans\nMen\nWomen"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nPennsylvania"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/214209",
        "title": "Projectile Fluid Penetration and Flammability of Respirators and Other Head/Facial Personal Protective Equipment (FPFPPE) (Dataset)"
      },
      "rightsHolder": [
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          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
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      ],
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      ],
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        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/4j6x-nm2a",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/214209",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Projectile Fluid Penetration and Flammability of Respirators and Other Head/Facial Personal Protective Equipment (FPFPPE) (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1010-2019-1\"target=\"_blank\">https://doi.org/10.26616/NIOSHRD-1010-2019-1</a>.\nIntroduction: The U.S. Food and Drug Administration (FDA) requires surgical masks (SMs) and surgical N95 respirators used in healthcare to meet certain fluid resistance and flammability levels. NIOSH's National Personal Protective Technology Laboratory (NPPTL) investigated the fluid penetration and flammability of respirators and other head/facial personal protective equipment to determine their efficacy in reducing healthcare workers' risk for occupational exposures to infectious microorganisms and injury due to accidental fires in surgical settings. The results from this study showed that FDA cleared SMs and surgical N95 respirators were resistant to synthetic blood penetration (Rengasamy et al. 2014) and met the flammability levels (Rengasamy et al. 2018) as expected. Seven out of eleven non-FDA cleared NIOSH-approved N95 filtering facepiece respirator models also passed the synthetic blood penetration and flammability tests. NPPTL tested five models of powered air-purifying respirator (PAPR) hoods and all models showed resistance to synthetic blood penetration and flammability levels. This may be important to ensure protection to healthcare workers since the use of PAPRs in healthcare is likely to increase because of their higher protection levels. None of the surgical head cover models tested in the study showed resistance to synthetic blood penetration, but they did meet flammability levels. Further tests on the rigidity of six surgical N95 respirators showed that flat fold models might collapse at high breathing flow rates, and high temperature and relative humidity conditions (Rengasamy and Niezgoda, 2019). Healthcare workers may need to be aware of this as penetration of infected bodily fluids may spread diseases. Download Data: The primary data pertaining to projectile fluid penetration and flammability of respirators and other head/facial personal protective equipment (FPFPPE) research are available in CSV format. The data are presented in eleven tables. The data dictionary is available in PDF format. Data Collection Methods: Blood penetration resistance: Resistance to a synthetic blood penetration of respiratory devices was evaluated using the ASTM F1862 method (ASTM, 2000). Fluid penetration was measured at 450 cm/sec and/or at 635 cm/sec velocities. Flammability: The flammability level of N95 FFRs and other PPE was evaluated following the Consumer Product Safety Commission (CPSC) CS-191-53 flammability (Federal Register 2008) method. The burn time for five samples of each N95 FFR model was measured, and the average burn time was calculated. The average burn times of >3, 3.5 to 7.0, and <3.0 seconds represent flammability class 1, class 2 and class 3, respectively. Detailed descriptions of the methods are provided here: <a href=\"https://www.cdc.gov/niosh/data/datasets/rd-1010-2019-1/pdfs/Methods-508.pdf\"target=\"_blank\">Methods.pdf</a>. Acknowledgements: When a publication makes use of this dataset, acknowledgement of the development of the dataset should be attributed to NIOSH NPPTL. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/214209",
          "downloadURL": "https://data.cdc.gov/download/4j6x-nm2a/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/214209",
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          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1011-2019-1",
      "title": "Total Inward Leakage (TIL) for Respiratory Protective Devices (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1011-2019-1\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1011-2019-1</a>.\nTotal inward leakage (TIL) is an estimate of the performance of a respirator, which is measured as the leakage of contaminants through the filter media and through the faceseal interface and exhalation valve of respiratory protective devices under laboratory conditions. Several test agents have been used to measure TIL in different countries. There is a lack of consensus on the most appropriate test method to measure TIL. The International Organization for Standardization (ISO) developed a standard (ISO, 2014) on the comparison of TIL measurement using sodium chloride (NaCl) and corn oil aerosols, and sulfur hexafluoride gas. A comparison of the TIL values between different methods will enable the selection of a relatively suitable method for measuring TIL. NIOSH's National Personal Protective Technology Laboratory (NPPTL) investigated the TIL values for respirators worn by test subjects exposed to NaCl and corn oil aerosols in two aerosol chambers side-by-side. Four air-purifying respirator categories, made up of two models each, were fit tested, and then TIL was measured. TIL values for all eight respirator models were measured and compared. Results showed that the geometric mean TIL values for corn oil aerosol were larger than those values for the NaCl aerosol for all respirator models tested in the study (Rengasamy et al. 2018). The net charge level for the aerosols in the test chambers showed that the corn oil aerosol was more neutrally charged compared to the positively charged NaCl aerosols. This suggested that charged NaCl aerosols are easily captured by the filter media to give lower TIL values compared to corn oil aerosol with relatively large TIL values. NPPTL also measured filter penetration for respirators with NaCl and corn oil aerosols of the test chambers. Results showed higher filter penetration values for corn oil aerosol than for NaCl aerosol, a trend similar to TIL measured for the two aerosols. Filter efficiency measurement showed lower TIL values for relatively higher efficiency respirator models. The results obtained in the study indicated the influence of filter penetration or filter efficiency on TIL. TIL measurement using test agents with different charge level, filter penetration and filter efficiency is likely to produce dissimilar results. Overall, the selection of a test agent that yields relatively higher TIL values representing a conservative estimate of respiratory protection would be a viable choice for TIL determination. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Personal Protective Technology Laboratory (NPPTL). Research Branch (RB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
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              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2019-08-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nFiltration\nLaboratories\nOccupational Health\nPersonal Protective Equipment\nRespiratory Protective Devices\nSafety"
        }
      ],
      "keyword": [
        "Humans\nRespirators\nRespirator certification\nRespirator selection\nRespirator testing\nLaboratory testing\nTesting equipment\nMaterials testing\nLeak detectors\nLeak prevention\nN95 filtering facepiece respirators\nModels\nFilters\nFiltration\nEquipment reliability\nEquipment testing\nExposure chambers\nAerosols\nPerformance capability\nPerformance tests\nFace masks\nRespiratory protective equipment\nPersonal protective equipment\nPPE\nStandards\nOils\nSodium compounds\nSulfur hexafluoride\nGases\nAir purifying respirators\nAPR\nFilter materials"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nPennsylvania"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/214440",
        "title": "Total Inward Leakage (TIL) for Respiratory Protective Devices (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
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      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/4ems-va7k",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/214440",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Total Inward Leakage (TIL) for Respiratory Protective Devices (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1011-2019-1\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1011-2019-1</a>.\nTotal inward leakage (TIL) is an estimate of the performance of a respirator, which is measured as the leakage of contaminants through the filter media and through the faceseal interface and exhalation valve of respiratory protective devices under laboratory conditions. Several test agents have been used to measure TIL in different countries. There is a lack of consensus on the most appropriate test method to measure TIL. The International Organization for Standardization (ISO) developed a standard (ISO, 2014) on the comparison of TIL measurement using sodium chloride (NaCl) and corn oil aerosols, and sulfur hexafluoride gas. A comparison of the TIL values between different methods will enable the selection of a relatively suitable method for measuring TIL. NIOSH's National Personal Protective Technology Laboratory (NPPTL) investigated the TIL values for respirators worn by test subjects exposed to NaCl and corn oil aerosols in two aerosol chambers side-by-side. Four air-purifying respirator categories, made up of two models each, were fit tested, and then TIL was measured. TIL values for all eight respirator models were measured and compared. Results showed that the geometric mean TIL values for corn oil aerosol were larger than those values for the NaCl aerosol for all respirator models tested in the study (Rengasamy et al. 2018). The net charge level for the aerosols in the test chambers showed that the corn oil aerosol was more neutrally charged compared to the positively charged NaCl aerosols. This suggested that charged NaCl aerosols are easily captured by the filter media to give lower TIL values compared to corn oil aerosol with relatively large TIL values. NPPTL also measured filter penetration for respirators with NaCl and corn oil aerosols of the test chambers. Results showed higher filter penetration values for corn oil aerosol than for NaCl aerosol, a trend similar to TIL measured for the two aerosols. Filter efficiency measurement showed lower TIL values for relatively higher efficiency respirator models. The results obtained in the study indicated the influence of filter penetration or filter efficiency on TIL. TIL measurement using test agents with different charge level, filter penetration and filter efficiency is likely to produce dissimilar results. Overall, the selection of a test agent that yields relatively higher TIL values representing a conservative estimate of respiratory protection would be a viable choice for TIL determination. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/214440",
          "downloadURL": "https://data.cdc.gov/download/4ems-va7k/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/214440",
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          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1012-2019-0",
      "title": "Effects of Welding Fume Exposure on Human Placental Cells (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1012-2019-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1012-2019-0</a>.\nAs more women join the skilled-trade workforce, the effects of workplace exposures on pregnancy need to be explored. This study aimed to identify the effects of mild-steel (MS) and stainless-steel (SS) welding fume exposures on first-trimester placental trophoblast cells, using the HTR-8/SVneo cell line. MS is primarily composed of Iron (Fe) and Manganese (Mn), while SS also contains chromium (Cr) and nickel (Ni). We found that all three welding fumes had significant effects on cellular viability, and also caused increases in free radical production, while negatively affecting their invasive capabilities. MS was the only sample to cause an increase in production of the pro-inflammatory cytokines IL-6 and IL-8. Our results show that welding fume exposure is in fact cytotoxic to trophoblasts, and understanding how these occupational exposures could impact maternal and fetal health is necessary. Identifying how the varying combinations of heavy metals and other materials present in MS and SS welding fumes, along with fume particle size adversely affects the maternal fetal interface and gestational outcomes should be considered an emerging issue, and appropriate measures should be taken to reduce exposures in the workplace. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
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            "name": "Centers for Disease Control and Prevention (CDC)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2019-10-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Cells"
        },
        {
          "@type": "Concept",
          "prefLabel": "Cultured\nChromium\nMetals\nMetals"
        },
        {
          "@type": "Concept",
          "prefLabel": "Heavy\nOccupational Health\nPregnancy\nSafety\nUrogenital Diseases\nUrogenital System\nWelding\nWomen"
        }
      ],
      "keyword": [
        "Humans\nWomen\nPregnancy\nReproductive effects\nReproductive hazards\nReproductive health\nReproductive system disorders\nWelding\nWelding fumes\nWelding industry\nIron compounds\nManganese compounds\nChromium compounds\nNickel compounds\nCell cultures\nMetals\nHeavy metals"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/214781",
        "title": "Effects of Welding Fume Exposure on Human Placental Cells (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/h98p-htn6",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/214781",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Effects of Welding Fume Exposure on Human Placental Cells (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1012-2019-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1012-2019-0</a>.\nAs more women join the skilled-trade workforce, the effects of workplace exposures on pregnancy need to be explored. This study aimed to identify the effects of mild-steel (MS) and stainless-steel (SS) welding fume exposures on first-trimester placental trophoblast cells, using the HTR-8/SVneo cell line. MS is primarily composed of Iron (Fe) and Manganese (Mn), while SS also contains chromium (Cr) and nickel (Ni). We found that all three welding fumes had significant effects on cellular viability, and also caused increases in free radical production, while negatively affecting their invasive capabilities. MS was the only sample to cause an increase in production of the pro-inflammatory cytokines IL-6 and IL-8. Our results show that welding fume exposure is in fact cytotoxic to trophoblasts, and understanding how these occupational exposures could impact maternal and fetal health is necessary. Identifying how the varying combinations of heavy metals and other materials present in MS and SS welding fumes, along with fume particle size adversely affects the maternal fetal interface and gestational outcomes should be considered an emerging issue, and appropriate measures should be taken to reduce exposures in the workplace. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/214781",
          "downloadURL": "https://data.cdc.gov/download/h98p-htn6/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/214781",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1013-2020-0",
      "title": "NIOSH Anthropometric Data and ISO Digital Headforms (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1013-2020-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1013-2020-0</a>.\nIn 2003, the National Institute for Occupational Safety and Health (NIOSH) conducted a nationwide anthropometric survey of 3,997 subjects. The resulting head and face measurements were used to develop an anthropometric database detailing the face size distributions of respirator users using both traditional measurement methods and three-dimensional (3D) scanning systems. This database was used to establish fit test panels to be incorporated into NIOSH respirator certification and international standards. One of the panels developed, called the principal component analysis (PCA) panel, uses the first two principal components obtained from a set of 10 facial dimensions (age and race adjusted) and divides user population into five face-size categories. These 10 dimensions are associated with respirator fit and leakage and can predict the remaining face dimensions as well. Respirators designed to fit these panels are expected to accommodate more than 95% of the current U.S. civilian workers. From the 3,997 subject anthropometric survey, 1,013 subjects were also scanned using a Cyberware 3D Rapid Digitizer. Three-dimensional scans of five individuals, who most closely represented a given size category, were averaged to construct a representative headform for each category (small, medium, large, long/narrow and short/wide). The NIOSH digital headforms are symmetric and represent the facial size and shape distribution of current U.S. respirator users. In addition, ears have been placed on the headforms to match the average position for the chosen heads of a given size. These headforms have been incorporated into a technical specification standard for ISO TC94 Personal Protective Equipment, SC15 Respiratory Protective Devices, WG1 General, PG5 Human Factors. That standard is titled \"ISO 16976-2 Respiratory Protective Devices - Human Factors - Part 2: Anthropometrics\". In an assessment of the 2003 NIOSH anthropometric survey of U.S. respirator users, the Institute of Medicine affirmed that \"Having effective respiratory protection can be, and often is, a matter of life and death. The scientific bases for developing and fitting effective respiratory protection remain more art than science.\" Thus, NIOSH encourages application of the data and results to address occupational safety and health issues. Download Data: The anthropometric survey data for this study is available in CSV and XLS file formats. The ISO digital headform models are available in STL and IGS file formats. Data Collection Methods: For the anthropometric data, a stratified sampling plan was used with three age strata, two gender strata, and four race/ethnic group strata. The plan called for an equal sample size of 166 in each cell. Subjects were obtained at 41 sites from 8 states. In addition to height and weight, 18 facial dimensions and neck circumferences were measured using traditional anthropometric methods. A total of 3,997 subjects were measured using traditional methods, and 1,013 of them were also scanned using a 3-D head scanner. The resulting data were weighted to correspond to the U.S. population. For the development of the ISO Digital Headforms, ten facial dimensions relevant to respirator fit were chosen for defining a principal component analysis model, which divides the user population into five face-size categories. Mean facial dimensions were then computed to target the ideal facial dimensions for each size category. Five scans in each category were chosen and averaged to construct a representative headform for each size category (small, medium, large, long/narrow and short/wide). All dimensions are within 3 mm of the computed means for the sample population in each size category. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Personal Protective Technology Laboratory (NPPTL). Research Branch (RB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2020-04-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Occupational Health\nPersonal Protective Equipment\nRespiratory Protective Devices\nSafety"
        }
      ],
      "keyword": [
        "Anthropometry\nHumans\nRespirators\nFit testing"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nPennsylvania"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/223510",
        "title": "NIOSH Anthropometric Data and ISO Digital Headforms (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/c2hx-eeis",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
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      "distribution": [
        {
          "@type": "Distribution",
          "title": "NIOSH Anthropometric Data and ISO Digital Headforms (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1013-2020-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1013-2020-0</a>.\nIn 2003, the National Institute for Occupational Safety and Health (NIOSH) conducted a nationwide anthropometric survey of 3,997 subjects. The resulting head and face measurements were used to develop an anthropometric database detailing the face size distributions of respirator users using both traditional measurement methods and three-dimensional (3D) scanning systems. This database was used to establish fit test panels to be incorporated into NIOSH respirator certification and international standards. One of the panels developed, called the principal component analysis (PCA) panel, uses the first two principal components obtained from a set of 10 facial dimensions (age and race adjusted) and divides user population into five face-size categories. These 10 dimensions are associated with respirator fit and leakage and can predict the remaining face dimensions as well. Respirators designed to fit these panels are expected to accommodate more than 95% of the current U.S. civilian workers. From the 3,997 subject anthropometric survey, 1,013 subjects were also scanned using a Cyberware 3D Rapid Digitizer. Three-dimensional scans of five individuals, who most closely represented a given size category, were averaged to construct a representative headform for each category (small, medium, large, long/narrow and short/wide). The NIOSH digital headforms are symmetric and represent the facial size and shape distribution of current U.S. respirator users. In addition, ears have been placed on the headforms to match the average position for the chosen heads of a given size. These headforms have been incorporated into a technical specification standard for ISO TC94 Personal Protective Equipment, SC15 Respiratory Protective Devices, WG1 General, PG5 Human Factors. That standard is titled \"ISO 16976-2 Respiratory Protective Devices - Human Factors - Part 2: Anthropometrics\". In an assessment of the 2003 NIOSH anthropometric survey of U.S. respirator users, the Institute of Medicine affirmed that \"Having effective respiratory protection can be, and often is, a matter of life and death. The scientific bases for developing and fitting effective respiratory protection remain more art than science.\" Thus, NIOSH encourages application of the data and results to address occupational safety and health issues. Download Data: The anthropometric survey data for this study is available in CSV and XLS file formats. The ISO digital headform models are available in STL and IGS file formats. Data Collection Methods: For the anthropometric data, a stratified sampling plan was used with three age strata, two gender strata, and four race/ethnic group strata. The plan called for an equal sample size of 166 in each cell. Subjects were obtained at 41 sites from 8 states. In addition to height and weight, 18 facial dimensions and neck circumferences were measured using traditional anthropometric methods. A total of 3,997 subjects were measured using traditional methods, and 1,013 of them were also scanned using a 3-D head scanner. The resulting data were weighted to correspond to the U.S. population. For the development of the ISO Digital Headforms, ten facial dimensions relevant to respirator fit were chosen for defining a principal component analysis model, which divides the user population into five face-size categories. Mean facial dimensions were then computed to target the ideal facial dimensions for each size category. Five scans in each category were chosen and averaged to construct a representative headform for each size category (small, medium, large, long/narrow and short/wide). All dimensions are within 3 mm of the computed means for the sample population in each size category. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/223510",
          "downloadURL": "https://data.cdc.gov/download/c2hx-eeis/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/223510",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1014-2020-0",
      "title": "A Model for Detecting the Effects of Vibration on Peripheral Blood Flow (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1014-2020-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1014-2020-0</a>.\nExposure to hand-transmitted vibration (HTV) has been shown to result in cold-induced vasoconstriction and a reduction in blood flow to the hands and fingers of workers. Occupational exposure to HTV can also induce a hypersensitivity of the sympathetic nervous system to various stimuli, which in turn can result in vasoconstriction of the peripheral blood vessels and blanching of the skin because of reductions in peripheral blood flow. The data presented were collected using an established animal model of vibration-induced white finger (Welcome et al. 2008) to determine if changes in blood flow induced by vibration exposure could be used as a biomarker for the development of vibration-induced peripheral vascular disease. Two separate experiments were done. In Experiment 1, changes in blood flow were measured in the ventral tail artery of the rat tail before and after a 4 h exposure to tail vibration (frequency 125 Hz, amplitude 5 g). These data were compared with those of animals that were restrained and had their tail secured to a stationary platform (controls). A single exposure to vibration resulted in a reduction in blood flow in the ventral tail artery. These data are consistent with data collected in humans. In Experiment 2, animals were exposed to vibration or control conditions 5 days a week for 4 weeks (125 Hz, 5 g) and blood flow was measured by laser doppler before each exposure to determine if there were any lasting effects of vibration on blood flow that could be detected over time. Although there were no changes in average blood flow with repeated exposure to vibration, time series analyses demonstrated that the low frequency peak in blood flow (0.4 Hz) was reduced after 10 days of vibration exposure and after 15 days of restraint control. The 0.4 Hz signal in the laser doppler measurement is an indicator of arterial pulse. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Research Pathology and Physiology Research Branch (RPRP)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2020-07-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Cardiovascular Diseases\nCardiovascular System\nOccupational Health\nSafety\nSoftware\nVibration"
        }
      ],
      "keyword": [
        "Mathematical models\nComputer models\nVibration exposure\nVibration effects\nVibration\nVibration disease\nCardiovascular system disease\nCardiovascular system disorders\nCardiovascular disease\nCardiovascular function\nCardiovascular health"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/224180",
        "title": "A Model for Detecting the Effects of Vibration on Peripheral Blood Flow (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/hyai-856q",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/224180",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "A Model for Detecting the Effects of Vibration on Peripheral Blood Flow (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1014-2020-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1014-2020-0</a>.\nExposure to hand-transmitted vibration (HTV) has been shown to result in cold-induced vasoconstriction and a reduction in blood flow to the hands and fingers of workers. Occupational exposure to HTV can also induce a hypersensitivity of the sympathetic nervous system to various stimuli, which in turn can result in vasoconstriction of the peripheral blood vessels and blanching of the skin because of reductions in peripheral blood flow. The data presented were collected using an established animal model of vibration-induced white finger (Welcome et al. 2008) to determine if changes in blood flow induced by vibration exposure could be used as a biomarker for the development of vibration-induced peripheral vascular disease. Two separate experiments were done. In Experiment 1, changes in blood flow were measured in the ventral tail artery of the rat tail before and after a 4 h exposure to tail vibration (frequency 125 Hz, amplitude 5 g). These data were compared with those of animals that were restrained and had their tail secured to a stationary platform (controls). A single exposure to vibration resulted in a reduction in blood flow in the ventral tail artery. These data are consistent with data collected in humans. In Experiment 2, animals were exposed to vibration or control conditions 5 days a week for 4 weeks (125 Hz, 5 g) and blood flow was measured by laser doppler before each exposure to determine if there were any lasting effects of vibration on blood flow that could be detected over time. Although there were no changes in average blood flow with repeated exposure to vibration, time series analyses demonstrated that the low frequency peak in blood flow (0.4 Hz) was reduced after 10 days of vibration exposure and after 15 days of restraint control. The 0.4 Hz signal in the laser doppler measurement is an indicator of arterial pulse. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/224180",
          "downloadURL": "https://data.cdc.gov/download/hyai-856q/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/224180",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1015-2020-0",
      "title": "Resolution of Pulmonary Inflammation Induced by Carbon Nanotubes and Fullerenes in Mice: Role of Macrophage Polarization (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1015-2020-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1015-2020-0</a>.\nExposure to certain engineered nanomaterials (ENMs) causes chronic lesions like lung fibrosis and cancer as a result of unresolved inflammation. Elucidating how ENM-induced inflammation is resolved is necessary for better evaluation of the fibrogenic and tumorigenic potentials of ENMs. This study aimed to identify pro-resolving mechanisms by analyzing the inflammatory and fibrogenic responses to multi-walled carbon nanotubes (MWCNTs, Mitsui-7) and fullerenes (fullerene C60, C60F) in B6C3F1 mice. The findings reveal that MWCNTs at a low dose (40 microg/mouse) and C60F at a high dose (>480 mg/mouse) stimulated acute neutrophilic inflammation, which exhibited rapid initiation and extended resolution. The lesion in MWCNT-exposed mice progressed to fibrotic granulomas by day 28 post-exposure, whereas it remained as alveolar histiocytosis in C60F-exposed mice. The ENMs induced high levels of proinflammatory lipid mediators leukotriene B4 (LTB4) and prostaglandin E2 (PGE2) with peaks at day 1, and high levels of specialized pro-resolving mediators resolvin D1 (RvD1) and E1 (RvE1) with peaks at day 7. Moreover, the ENMs induced time-dependent polarization of M1 macrophages and subsequently of M2 macrophages in the lung, accompanied by elevated levels of type 1 or type 2 cytokines, respectively. The M1 macrophages exhibited preferential induction of arachidonate 5-lipoxygenase activating protein (ALOX5AP), whereas M2 macrophages had a high-level expression of arachidonate 15-lipoxygenase (ALOX15). Polarization of macrophages in vitro differentially induced ALOX5AP in M1 macrophages and ALOX15 in M2 macrophages, both of which were further increased by MWCNTs. This study demonstrates that the neutrophilic inflammation induced by ENMs is actively resolved through the differential synthesis of proinflammatory and pro-resolving lipid mediators via distinct ALOX pathways in M1 or M2 macrophages in a time-dependent manner. Incomplete resolution of inflammation contributes to the chronic progression in mouse lungs exposed to persistent and high toxicity ENMs. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Toxicology and Molecular Biology Branch (TMBB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2020-09-17",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Blood\nLaboratories\nLung\nLung Diseases\nMacrophages\nOccupational Health\nRespiratory System\nRespiratory Tract Diseases\nSafety"
        }
      ],
      "keyword": [
        "Nanomaterials\nNanoparticles\nCarbon nanotubes\nCNT\nFullerenes\nPulmonary system disorders\nLaboratory animals\nImmue reaction\nCellular reactions\nLung disorders\nMacrophages"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/224680",
        "title": "Resolution of Pulmonary Inflammation Induced by Carbon Nanotubes and Fullerenes in Mice: Role of Macrophage Polarization (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/hcxx-dqtx",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/224680",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Resolution of Pulmonary Inflammation Induced by Carbon Nanotubes and Fullerenes in Mice: Role of Macrophage Polarization (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1015-2020-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1015-2020-0</a>.\nExposure to certain engineered nanomaterials (ENMs) causes chronic lesions like lung fibrosis and cancer as a result of unresolved inflammation. Elucidating how ENM-induced inflammation is resolved is necessary for better evaluation of the fibrogenic and tumorigenic potentials of ENMs. This study aimed to identify pro-resolving mechanisms by analyzing the inflammatory and fibrogenic responses to multi-walled carbon nanotubes (MWCNTs, Mitsui-7) and fullerenes (fullerene C60, C60F) in B6C3F1 mice. The findings reveal that MWCNTs at a low dose (40 microg/mouse) and C60F at a high dose (>480 mg/mouse) stimulated acute neutrophilic inflammation, which exhibited rapid initiation and extended resolution. The lesion in MWCNT-exposed mice progressed to fibrotic granulomas by day 28 post-exposure, whereas it remained as alveolar histiocytosis in C60F-exposed mice. The ENMs induced high levels of proinflammatory lipid mediators leukotriene B4 (LTB4) and prostaglandin E2 (PGE2) with peaks at day 1, and high levels of specialized pro-resolving mediators resolvin D1 (RvD1) and E1 (RvE1) with peaks at day 7. Moreover, the ENMs induced time-dependent polarization of M1 macrophages and subsequently of M2 macrophages in the lung, accompanied by elevated levels of type 1 or type 2 cytokines, respectively. The M1 macrophages exhibited preferential induction of arachidonate 5-lipoxygenase activating protein (ALOX5AP), whereas M2 macrophages had a high-level expression of arachidonate 15-lipoxygenase (ALOX15). Polarization of macrophages in vitro differentially induced ALOX5AP in M1 macrophages and ALOX15 in M2 macrophages, both of which were further increased by MWCNTs. This study demonstrates that the neutrophilic inflammation induced by ENMs is actively resolved through the differential synthesis of proinflammatory and pro-resolving lipid mediators via distinct ALOX pathways in M1 or M2 macrophages in a time-dependent manner. Incomplete resolution of inflammation contributes to the chronic progression in mouse lungs exposed to persistent and high toxicity ENMs. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/224680",
          "downloadURL": "https://data.cdc.gov/download/hcxx-dqtx/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/224680",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1017-2021-0",
      "title": "Antimicrobials and Allergic Disease: Identifying Novel Biomarkers and Mechanisms of Action (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1017-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1017-2021-0</a>.\nOccupational immune diseases are some of the most common illnesses that affect workers in the United States. The Healthcare and Social Assistance Sector (HCSA) has one of the highest incidence of allergic disease compared to other industrial sectors. Individuals in this sector are frequently exposed to a variety of high-level cleaners and disinfectants along with antiseptics for the purposes of sterilization of surfaces, medical and surgical instruments, and reducing the incidence of nosocomial infections. The range of specificity and effectiveness of these agents is very diverse based on the type of chemical used. Commonly used antimicrobials include: alcohol, chlorine, iodine based agents; phenols; hydrogen peroxide; and quaternary ammonium compounds (QAC). While the importance of these kinds of chemicals is understood, many of these agents are also known to directly contribute to allergic disease. Antimicrobials including disinfectants and antiseptics are unique in that they have been identified to cover all classes of immune action related to allergic disease (irritants, sensitizers and adjuvants). In addition, new chemicals are constantly being synthesized for specific antimicrobial purposes or as potentially less toxic alternative, and these may also present unique burdens on the immune system. While the primary routes of exposure to these chemicals are the skin and lung, in the health care setting exposures to multiple chemicals present in individual products or exposures to multiple products, often occur presenting the opportunity for complex mixed exposures. In addition, while dermatitis and asthma are often thought a direct consequence of respective skin or lung exposure, the role of the skin in both dermal and respiratory sensitization is increasingly being recognized. Worker exposure leading to sensitization can often be asymptomatic in nature until subsequent exposure elicits a response in the sensitized individual. Therefore, knowledge about how the skin regulates allergic disease is extremely important because protection from sensitization and other factors that influence this process will prevent disease. Due to the increasing development of and uses for antimicrobials, it is imperative to analyze the immunotoxicological effects of these compounds. Results of these studies will provide the necessary tools to develop a hazard-based approach to investigate the role of antiseptics and disinfectants used in HCSA on allergic disease. As new occupational hazards continue to emerge it is critical that we understand the immunological mechanisms that exacerbate immune mediated respiratory and dermal diseases. Specific understanding of these mechanisms has direct implications in exposure assessment and the development of appropriate intervention and prevention strategies. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2021-07-12",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Biomarkers\nDisinfectants\nHealth Personnel\nHypersensitivity\nImmune System\nOccupational Health\nRespiratory System\nSafety\nSkin"
        }
      ],
      "keyword": [
        "Health care workers\nImmune system disorders\nImmune reaction\nDisinfectants\nAntiseptics\nCleaning compounds\nAntimicrobials\nChemicals\nAllergies\nAllergic reactions\nSkin exposure\nRespiratory sensitizers\nSensitizers\nSensitization\nBiomarkers"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/225381",
        "title": "Antimicrobials and Allergic Disease: Identifying Novel Biomarkers and Mechanisms of Action (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/ya5p-jf7v",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/225381",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Antimicrobials and Allergic Disease: Identifying Novel Biomarkers and Mechanisms of Action (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1017-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1017-2021-0</a>.\nOccupational immune diseases are some of the most common illnesses that affect workers in the United States. The Healthcare and Social Assistance Sector (HCSA) has one of the highest incidence of allergic disease compared to other industrial sectors. Individuals in this sector are frequently exposed to a variety of high-level cleaners and disinfectants along with antiseptics for the purposes of sterilization of surfaces, medical and surgical instruments, and reducing the incidence of nosocomial infections. The range of specificity and effectiveness of these agents is very diverse based on the type of chemical used. Commonly used antimicrobials include: alcohol, chlorine, iodine based agents; phenols; hydrogen peroxide; and quaternary ammonium compounds (QAC). While the importance of these kinds of chemicals is understood, many of these agents are also known to directly contribute to allergic disease. Antimicrobials including disinfectants and antiseptics are unique in that they have been identified to cover all classes of immune action related to allergic disease (irritants, sensitizers and adjuvants). In addition, new chemicals are constantly being synthesized for specific antimicrobial purposes or as potentially less toxic alternative, and these may also present unique burdens on the immune system. While the primary routes of exposure to these chemicals are the skin and lung, in the health care setting exposures to multiple chemicals present in individual products or exposures to multiple products, often occur presenting the opportunity for complex mixed exposures. In addition, while dermatitis and asthma are often thought a direct consequence of respective skin or lung exposure, the role of the skin in both dermal and respiratory sensitization is increasingly being recognized. Worker exposure leading to sensitization can often be asymptomatic in nature until subsequent exposure elicits a response in the sensitized individual. Therefore, knowledge about how the skin regulates allergic disease is extremely important because protection from sensitization and other factors that influence this process will prevent disease. Due to the increasing development of and uses for antimicrobials, it is imperative to analyze the immunotoxicological effects of these compounds. Results of these studies will provide the necessary tools to develop a hazard-based approach to investigate the role of antiseptics and disinfectants used in HCSA on allergic disease. As new occupational hazards continue to emerge it is critical that we understand the immunological mechanisms that exacerbate immune mediated respiratory and dermal diseases. Specific understanding of these mechanisms has direct implications in exposure assessment and the development of appropriate intervention and prevention strategies. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/225381",
          "downloadURL": "https://data.cdc.gov/download/ya5p-jf7v/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/225381",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1018-2021-0",
      "title": "Effects of Antimicrobial Chemical Exposures on Influenza Vaccination and Antiviral Immunity (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1018-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1018-2021-0</a>.\nHealthcare workers concurrently may be at a higher risk of developing respiratory infections and allergic disease, such as asthma, than the general public. Increased incidence of allergic diseases is thought to be caused, in part, due to occupational exposure to chemicals that induce or augment Th2 immune responses. However, whether exposure to these chemical antimicrobials can influence immune responses to respiratory pathogens is unknown. Here, we use a BALB/c murine model to test if the Th2-promoting antimicrobial chemical triclosan influences immune responses to influenza A virus. Mice were dermally exposed to 2% triclosan for 7 days prior to infection with a sub-lethal dose of mouse adapted PR8 A(H1N1) virus (50 pfu); triclosan exposure continued until 10 days post infection (dpi). Infected mice exposed to triclosan did not show an increase in morbidity or mortality, and viral titers were unchanged. Assessment of T cell responses at 10 dpi showed a decrease in the number of total and activated (CD44hi) CD4+ and CD8+ T cells at the site of infection (BAL and lung) in triclosan exposed mice compared to controls. Influenza-specific CD4+ and CD8+ T cells were assessed using MHCI and MHCII tetramers, with reduced populations, although not reaching statistical significance at these sites following triclosan exposure. Reductions in the Th1 transcription factor T-bet were seen in both activated and tetramer+ CD4+ and CD8+ T cells in the lungs of triclosan exposed infected mice, indicating reduced Th1 polarization and providing a potential mechanism for numerical reduction in T cells. Overall, these results indicate that the immune environment induced by triclosan exposure has the potential to influence the developing immune response to a respiratory viral infection and may have implications for healthcare workers who may be at an increased risk for developing infectious diseases. [Description provided by NIOSH]",
      "contactPoint": [
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      "issued": "2021-07-12",
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          "@type": "Concept",
          "prefLabel": "Animals\nAsthma\nAsthma"
        },
        {
          "@type": "Concept",
          "prefLabel": "Occupational\nCommunicable Diseases\nHealth Personnel\nHypersensitivity\nImmune System\nInfluenza"
        },
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          "@type": "Concept",
          "prefLabel": "Human\nOccupational Exposure\nOccupational Health\nRespiratory System\nRespiratory Tract Diseases\nSafety"
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      ],
      "keyword": [
        "Health care workers\nImmune system disorders\nImmune reaction\nAntimicrobials\nChemicals\nAllergies\nAllergic reactions\nOccupational exposure\nAsthma\nAnimal studies\nRespiratory infections\nInfectious diseases\nInfluenza"
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          "@type": "Distribution",
          "title": "Effects of Antimicrobial Chemical Exposures on Influenza Vaccination and Antiviral Immunity (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1018-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1018-2021-0</a>.\nHealthcare workers concurrently may be at a higher risk of developing respiratory infections and allergic disease, such as asthma, than the general public. Increased incidence of allergic diseases is thought to be caused, in part, due to occupational exposure to chemicals that induce or augment Th2 immune responses. However, whether exposure to these chemical antimicrobials can influence immune responses to respiratory pathogens is unknown. Here, we use a BALB/c murine model to test if the Th2-promoting antimicrobial chemical triclosan influences immune responses to influenza A virus. Mice were dermally exposed to 2% triclosan for 7 days prior to infection with a sub-lethal dose of mouse adapted PR8 A(H1N1) virus (50 pfu); triclosan exposure continued until 10 days post infection (dpi). Infected mice exposed to triclosan did not show an increase in morbidity or mortality, and viral titers were unchanged. Assessment of T cell responses at 10 dpi showed a decrease in the number of total and activated (CD44hi) CD4+ and CD8+ T cells at the site of infection (BAL and lung) in triclosan exposed mice compared to controls. Influenza-specific CD4+ and CD8+ T cells were assessed using MHCI and MHCII tetramers, with reduced populations, although not reaching statistical significance at these sites following triclosan exposure. Reductions in the Th1 transcription factor T-bet were seen in both activated and tetramer+ CD4+ and CD8+ T cells in the lungs of triclosan exposed infected mice, indicating reduced Th1 polarization and providing a potential mechanism for numerical reduction in T cells. Overall, these results indicate that the immune environment induced by triclosan exposure has the potential to influence the developing immune response to a respiratory viral infection and may have implications for healthcare workers who may be at an increased risk for developing infectious diseases. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/225382",
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    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1019-2021-0",
      "title": "Effects of Silica Inhalation on Metabolic Obesity in a Western Diet-Induced F344 Rat Model; Silica Inhibits Adipose Function and Diet-Induced Inflammation (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1019-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1019-2021-0</a>.\nIntroduction: Adipose tissue (AT), an endocrine organ, plays a central role in maintenance of whole-body energy homeostasis through its release of adipokines. Obesity, affecting over 40% of American adults, disrupts adipocyte metabolism leading to chronic systemic inflammation and metabolic dysfunction (MetDys). MetDys is associated with impaired lung function, pulmonary hypertension, and asthma. The aim of this study was to investigate the effects of silica inhalation in a pre-existing MetDys animal model to determine if an occupational exposure of silica dust has the potential to initiate or further the progression of MetDys associated conditions. Methods Collection: 1) This laboratory-based investigation studied the effects of respirable crystalline silica on metabolic function in a high fat western diet (HFWD)-induced MetDys F344 rat model. 2) Six wk old male rats were fed a HFWD or standard (STD; control) for 16 wk prior to inhalation exposure to respirable crystalline silica dust (6 h /d, 5 d / wk, 39 d) with end point measurements taken at 0, 4 and 8 wk post-exposure to silica. 3) Animals were maintained on their assigned diet for the duration of the study. 4) Repeated measures of fasting glucose and laser-Doppler flowmetry were made prior to exposure and at 0, 4, and 8 wk using the same cohort of animals. Animals were fasted 12 h overnight for fasting glucose measurement; blood glucose was measured using a hand-held glucometer. Rat tail arterial function and blood flow was measured for 15 minutes using the non-invasive laser-Doppler flowmetry. 5) Endpoint measurements taken made following removal of tissues/organs from euthanized animals in in vitro studies. Endpoint measurements included: Anthropometric measures of weight, length, abdominal girth, ependymal fat pad weight; Measurement of serum insulin, leptin and adiponectin hormones and blood clinical chemistry; and Hematology measures. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
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        ]
      },
      "accessRights": "public",
      "issued": "2021-07-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nDust\nEnergy Metabolism\nOccupational Health\nRespiratory System\nSafety\nSilicon Dioxide"
        }
      ],
      "keyword": [
        "Obesity\nAdipose tissue\nMetabolic disorders\nSilica dusts\nInhalation studies\nAnimal studies\nCrystalline silica\nDietary effects\nEndocrine system\nRespirable dust\nMetabolic effects"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
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        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/226167",
        "title": "Effects of Silica Inhalation on Metabolic Obesity in a Western Diet-Induced F344 Rat Model; Silica Inhibits Adipose Function and Diet-Induced Inflammation (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
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      ],
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        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
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          "notation": "https://data.cdc.gov/d/xqmi-ykpp",
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        }
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        {
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          "title": "Effects of Silica Inhalation on Metabolic Obesity in a Western Diet-Induced F344 Rat Model; Silica Inhibits Adipose Function and Diet-Induced Inflammation (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1019-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1019-2021-0</a>.\nIntroduction: Adipose tissue (AT), an endocrine organ, plays a central role in maintenance of whole-body energy homeostasis through its release of adipokines. Obesity, affecting over 40% of American adults, disrupts adipocyte metabolism leading to chronic systemic inflammation and metabolic dysfunction (MetDys). MetDys is associated with impaired lung function, pulmonary hypertension, and asthma. The aim of this study was to investigate the effects of silica inhalation in a pre-existing MetDys animal model to determine if an occupational exposure of silica dust has the potential to initiate or further the progression of MetDys associated conditions. Methods Collection: 1) This laboratory-based investigation studied the effects of respirable crystalline silica on metabolic function in a high fat western diet (HFWD)-induced MetDys F344 rat model. 2) Six wk old male rats were fed a HFWD or standard (STD; control) for 16 wk prior to inhalation exposure to respirable crystalline silica dust (6 h /d, 5 d / wk, 39 d) with end point measurements taken at 0, 4 and 8 wk post-exposure to silica. 3) Animals were maintained on their assigned diet for the duration of the study. 4) Repeated measures of fasting glucose and laser-Doppler flowmetry were made prior to exposure and at 0, 4, and 8 wk using the same cohort of animals. Animals were fasted 12 h overnight for fasting glucose measurement; blood glucose was measured using a hand-held glucometer. Rat tail arterial function and blood flow was measured for 15 minutes using the non-invasive laser-Doppler flowmetry. 5) Endpoint measurements taken made following removal of tissues/organs from euthanized animals in in vitro studies. Endpoint measurements included: Anthropometric measures of weight, length, abdominal girth, ependymal fat pad weight; Measurement of serum insulin, leptin and adiponectin hormones and blood clinical chemistry; and Hematology measures. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/226167",
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          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1020-2021-0",
      "title": "Influenza Virus Induced Novel miRNAs Regulate the STAT Pathway (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1020-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1020-2021-0</a>.\nMicroRNAs are essential regulators of gene expression in humans and can control pathogenesis and host-virus interactions. Notably, the role of specific miRNAs during influenza virus infections are still ill-defined. The central goal of this study was to identify novel miRNAs and their target genes in response to influenza virus infections in airway epithelium. Human airway epithelial cells exposed to influenza virus induced several novel miRNAs that were identified using next generation sequencing (NGS) and their target genes by biochemical methods. NGS analysis predicted forty-two RNA sequences as possible miRNAs based on computational algorithms. Expression patterns of these putative miRNAs were further confirmed using RT-PCR in human bronchial epithelial cells (HBEpC) exposed to H1N1, H9N1(1P10) and H9N1 (1WF10) strains of influenza virus. A time course study showed significant downregulation of put-miR-34 in H1N1 and put-miR-35 in H9N1(1P10) infected cells, consistent with the NGS data. Additionally put-miR-34, and put-miR-35 showed a high fold enrichment in argonaute-immunoprecipitation compared to the controls, indicating their ability to form a complex with argonaute protein and RNA induced silencing complex (RISC), a typical mode of action found with miRNAs. Our earlier studies have shown that replication and survival of influenza virus is modulated by certain transcription factors, such as, NF-kB. To identify the target(s) of these putative miRNAs, we screened 84 transcription factors that have a role in viral pathogenesis. Cells transfected with mimic of the put-miR-34 showed significant decrease in expression of Signal Transducers and Activators of Transcription 3 (STAT3), and the inhibitor of put-miR-34 showed significant increase in STAT3 expression and its phosphorylation. In addition, put-miR-34 had 76% homology to the untranslated region (UTR) of STAT3. NGS and PCR array data submitted to the Gene Ontology also predicted the role of transcription factors modulated by put-miR-34. Our data suggests that put-miR-34 could be a good target for the antiviral therapy as the hyperactivation or inactivation of STAT3 results in viral disease, as tightly regulated STAT3 function is central to health. Methods Collection 1. Cell culture: a) Primary human bronchial epithelial cells HBEp cells. exposed to influenza virus H1N1, H9N1 (1P10) and H9N1 (1WF10) b) SAEp cells. exposed to influenza virus H1N1, H9N1 (1P10) and H9N1 (1WF10) c) Madin Darby Canine Kidney (MDCK) cells were cultured in Eagle's Minimum Essential Medium (ATCC, Manassas, VA) with 10% fetal bovine serum, and appropriate antibiotics. MDCK cells were used for the propagation of influenza virus H1N1 (A/WSN/33), H9N1 (1P10), and H9N1 (1WF10). Influenza virus H1N1 (A/WSN/33) d) Transfection of HBEp cells with mimic of miRNA putative 31, 34, and 35. 2. MiRNA analysis: a. HBEpC were transfected with mimic of put-miR-22, 23, 31, and 34 for 24 h and the isolated RNA was used for Next generation sequencing (NGS) analysis. b. Quality of RNA was assessed by Agilent 2100 Bioanalyzer. c. RT-PCR analysis. miRCURY LNA(TM) Universal RT microRNA PCR; each microRNA was assayed once by qPCR on the microRNA Ready-to-Use PCR kit. d. miRNA Custom Pick and Mix Panel using ExiLENT SYBR(R) Green master mix. LightCycler(R) 480 Real-Time PCR System (Roche). e. Co-immunoprecipitation of Argonaute proteins with associated RNAs. f. HBEpC were transfected with put-miR-34 inhibitor oligonucleotide or a put-miR-34 mimic oligonucleotide (Thermo Fisher Scientific, Carlsbad, CA) using the lipid-based Lipofectamine 2000. 3. Western immunoblotting: Protein collected from cells infected or uninfected using RIPA lysis buffer. Proteins were estimated by BCA method. Proteins were resolved using a 10% SDS-polyacrylamide gel electrophoresis (SDS-PAGE). 4. Viral Detection in cells: Real-time PCR (Applied Biosystems 7500 RT-PCR System) using matrix gene specific forward and reverse primers. 5. Transcription factor assay: Real-time PCR (Applied Biosystems 7500 RT-PCR System). 84 Genes investigated; list of genes studied provided in data dictionary with abbreviation. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
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        "name": "National Institute for Occupational Safety and Health (NIOSH)",
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        ]
      },
      "accessRights": "public",
      "issued": "2021-08-30",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Biochemistry\nCells"
        },
        {
          "@type": "Concept",
          "prefLabel": "Cultured\nCommunicable Diseases\nGenetics\nInfluenza"
        },
        {
          "@type": "Concept",
          "prefLabel": "Human\nOccupational Health\nSafety\nViral Diseases"
        }
      ],
      "keyword": [
        "RNA\nRibonucleic acids\nGene expression\nInfluenza\nViral infections\nGenes\nCell cultures\nBiochemistry\nGene regulation\nPathogenesis"
      ],
      "spatial": [
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          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/226417",
        "title": "Influenza Virus Induced Novel miRNAs Regulate the STAT Pathway (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/adnf-fpem",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
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      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Influenza Virus Induced Novel miRNAs Regulate the STAT Pathway (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1020-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1020-2021-0</a>.\nMicroRNAs are essential regulators of gene expression in humans and can control pathogenesis and host-virus interactions. Notably, the role of specific miRNAs during influenza virus infections are still ill-defined. The central goal of this study was to identify novel miRNAs and their target genes in response to influenza virus infections in airway epithelium. Human airway epithelial cells exposed to influenza virus induced several novel miRNAs that were identified using next generation sequencing (NGS) and their target genes by biochemical methods. NGS analysis predicted forty-two RNA sequences as possible miRNAs based on computational algorithms. Expression patterns of these putative miRNAs were further confirmed using RT-PCR in human bronchial epithelial cells (HBEpC) exposed to H1N1, H9N1(1P10) and H9N1 (1WF10) strains of influenza virus. A time course study showed significant downregulation of put-miR-34 in H1N1 and put-miR-35 in H9N1(1P10) infected cells, consistent with the NGS data. Additionally put-miR-34, and put-miR-35 showed a high fold enrichment in argonaute-immunoprecipitation compared to the controls, indicating their ability to form a complex with argonaute protein and RNA induced silencing complex (RISC), a typical mode of action found with miRNAs. Our earlier studies have shown that replication and survival of influenza virus is modulated by certain transcription factors, such as, NF-kB. To identify the target(s) of these putative miRNAs, we screened 84 transcription factors that have a role in viral pathogenesis. Cells transfected with mimic of the put-miR-34 showed significant decrease in expression of Signal Transducers and Activators of Transcription 3 (STAT3), and the inhibitor of put-miR-34 showed significant increase in STAT3 expression and its phosphorylation. In addition, put-miR-34 had 76% homology to the untranslated region (UTR) of STAT3. NGS and PCR array data submitted to the Gene Ontology also predicted the role of transcription factors modulated by put-miR-34. Our data suggests that put-miR-34 could be a good target for the antiviral therapy as the hyperactivation or inactivation of STAT3 results in viral disease, as tightly regulated STAT3 function is central to health. Methods Collection 1. Cell culture: a) Primary human bronchial epithelial cells HBEp cells. exposed to influenza virus H1N1, H9N1 (1P10) and H9N1 (1WF10) b) SAEp cells. exposed to influenza virus H1N1, H9N1 (1P10) and H9N1 (1WF10) c) Madin Darby Canine Kidney (MDCK) cells were cultured in Eagle's Minimum Essential Medium (ATCC, Manassas, VA) with 10% fetal bovine serum, and appropriate antibiotics. MDCK cells were used for the propagation of influenza virus H1N1 (A/WSN/33), H9N1 (1P10), and H9N1 (1WF10). Influenza virus H1N1 (A/WSN/33) d) Transfection of HBEp cells with mimic of miRNA putative 31, 34, and 35. 2. MiRNA analysis: a. HBEpC were transfected with mimic of put-miR-22, 23, 31, and 34 for 24 h and the isolated RNA was used for Next generation sequencing (NGS) analysis. b. Quality of RNA was assessed by Agilent 2100 Bioanalyzer. c. RT-PCR analysis. miRCURY LNA(TM) Universal RT microRNA PCR; each microRNA was assayed once by qPCR on the microRNA Ready-to-Use PCR kit. d. miRNA Custom Pick and Mix Panel using ExiLENT SYBR(R) Green master mix. LightCycler(R) 480 Real-Time PCR System (Roche). e. Co-immunoprecipitation of Argonaute proteins with associated RNAs. f. HBEpC were transfected with put-miR-34 inhibitor oligonucleotide or a put-miR-34 mimic oligonucleotide (Thermo Fisher Scientific, Carlsbad, CA) using the lipid-based Lipofectamine 2000. 3. Western immunoblotting: Protein collected from cells infected or uninfected using RIPA lysis buffer. Proteins were estimated by BCA method. Proteins were resolved using a 10% SDS-polyacrylamide gel electrophoresis (SDS-PAGE). 4. Viral Detection in cells: Real-time PCR (Applied Biosystems 7500 RT-PCR System) using matrix gene specific forward and reverse primers. 5. Transcription factor assay: Real-time PCR (Applied Biosystems 7500 RT-PCR System). 84 Genes investigated; list of genes studied provided in data dictionary with abbreviation. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/226417",
          "downloadURL": "https://data.cdc.gov/download/adnf-fpem/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/226417",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1021-2021-0",
      "title": "Efficacy of Universal Masking for Source Control and Personal Protection from Simulated Respiratory Aerosols in a Room (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1021-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1021-2021-0</a>.\nWe used a respiratory aerosol simulator (source) to cough or exhale aerosols into a sealed room-sized environmental chamber. We then measured the aerosol concentration over time in the breathing zone of a breathing simulator (recipient). Experiments were conducted with no masks or cloth masks on the source and recipient to determine how different combinations of masking, simulator orientations, and separation distances affected the aerosol exposure of the recipient. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Chemical and Biological Monitoring Branch (CBMB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2021-10-28",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nEnvironmental Monitoring\nOccupational Health\nPersonal Protective Equipment\nRespiratory Protective Devices\nSafety"
        }
      ],
      "keyword": [
        "Aerosol particles\nAerosols\nFace masks\nProtective equipment\nParticle aerodynamics\nAir sampling techniques\nDisease transmission\nDisease control"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/226419",
        "title": "Efficacy of Universal Masking for Source Control and Personal Protection from Simulated Respiratory Aerosols in a Room (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/q8qz-3pb6",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/226419",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Efficacy of Universal Masking for Source Control and Personal Protection from Simulated Respiratory Aerosols in a Room (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1021-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1021-2021-0</a>.\nWe used a respiratory aerosol simulator (source) to cough or exhale aerosols into a sealed room-sized environmental chamber. We then measured the aerosol concentration over time in the breathing zone of a breathing simulator (recipient). Experiments were conducted with no masks or cloth masks on the source and recipient to determine how different combinations of masking, simulator orientations, and separation distances affected the aerosol exposure of the recipient. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/226419",
          "downloadURL": "https://data.cdc.gov/download/q8qz-3pb6/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/226419",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1022-2021-0",
      "title": "Controlled Generation of Peracetic Acid Atmospheres for the Evaluation of Chemical Samplers (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1022-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1022-2021-0</a>.\nThe goal of the experimental design and research presented herein was to produce peracetic acid (PAA) atmospheres suitable for evaluating PAA sampling methods in a controlled environment. To achieve this, generated test atmospheres must: enable simultaneous exposure of multiple samplers to equivalent atmospheres; maintain a continuous stable atmosphere for a duration to exceed experimental time frames; and produce a range of analyte concentrations, air velocities, temperatures and humidities. The American Conference of Governmental Industrial Hygienists (AGCIH) Threshold Limit Value (TLV) for PAA is 0.4 ppm. The goal was to generate PAA atmospheres with concentrations from one tenth of the TLV up to 100 times the TLV. PAA is a reactive chemical, which presents some inherent challenges to generation of standard reference materials and atmospheres. PAA is a strong oxidant. PAA solutions are labile, thus it is difficult to keep reference standards or atmospheres. In solution, PAA and water are in equilibrium with acetic acid (AA) and hydrogen peroxide (HP). The equilibrium shifts as solutions of PAA evolve oxygen gas through the degradation of HP. Dynamic PAA atmospheres which are flowing and continuously refreshed are the preferred method for exposing samplers to equivalent atmospheres. Generation of static atmospheres by evaporating PAA solution into a closed container cannot be maintained for very long before needing to be refreshed. Dynamically generated atmospheres are created by a continuously renewed flow of air as a carrier and a source of PAA vapors, which are necessary for evaluating sensor performance over time frames relevant to occupational safety. Generation of PAA vapors can be accomplished from assisted vaporization, including applying heat and/or aerosolization with a nebulizer to accelerate evaporation. Glass reacts with PAA to hydroxylate the silica. used a glass syringe to deliver PAA solution to a nebulizer; however, gas bubbles formed in the syringe leading to uncontrollable ejection of the PAA solution from the syringe. To mitigate this, used acid washed syringes. They generated atmospheres of up to 2 ppm with a reported 95% recovery of theoretical delivered PAA. Dilute solutions of PAA can help to mitigate gas evolution but require more energy to evaporate and introduce additional humidity. For these experiments, PAA vapors were swept directly from the headspace above a PAA solution into our generation system. The flow rate of the air sweeping the headspace was varied to achieve the desired concentration after dilution into the carrier gas stream. When evaporating diluted PAA solutions using a nebulizer, the minimum humidity range is limited due to the water content in the dilute PAA solution. Thus, a wider humidity range on the low end is available when sweeping the headspace. The ability to maintain the concentration of PAA in the headspace above the solution is limited by the kinetics at the PAA solution-air interface. A practical solution was achieved using a PAA delivery system where air was passed through the headspace above a PAA solution in a vial. An impinger with a N,N-diethyl-p-phenylenediamine (DPD) analysis was used as the reference measurement for the PAA concentrations in the generated atmospheres. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Chemical and Biological Monitoring Branch (CBMB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2021-09-21",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Laboratories\nOccupational Health\nSafety\nSolvents"
        }
      ],
      "keyword": [
        "Controlled atmospheres\nSamplers\nSampling methods\nControlled environment\nVapors\nLaboratory techniques\nSensors"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Ohio\nOSHA Region 5"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/226503",
        "title": "Controlled Generation of Peracetic Acid Atmospheres for the Evaluation of Chemical Samplers (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/9kpc-xntn",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/226503",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Controlled Generation of Peracetic Acid Atmospheres for the Evaluation of Chemical Samplers (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1022-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1022-2021-0</a>.\nThe goal of the experimental design and research presented herein was to produce peracetic acid (PAA) atmospheres suitable for evaluating PAA sampling methods in a controlled environment. To achieve this, generated test atmospheres must: enable simultaneous exposure of multiple samplers to equivalent atmospheres; maintain a continuous stable atmosphere for a duration to exceed experimental time frames; and produce a range of analyte concentrations, air velocities, temperatures and humidities. The American Conference of Governmental Industrial Hygienists (AGCIH) Threshold Limit Value (TLV) for PAA is 0.4 ppm. The goal was to generate PAA atmospheres with concentrations from one tenth of the TLV up to 100 times the TLV. PAA is a reactive chemical, which presents some inherent challenges to generation of standard reference materials and atmospheres. PAA is a strong oxidant. PAA solutions are labile, thus it is difficult to keep reference standards or atmospheres. In solution, PAA and water are in equilibrium with acetic acid (AA) and hydrogen peroxide (HP). The equilibrium shifts as solutions of PAA evolve oxygen gas through the degradation of HP. Dynamic PAA atmospheres which are flowing and continuously refreshed are the preferred method for exposing samplers to equivalent atmospheres. Generation of static atmospheres by evaporating PAA solution into a closed container cannot be maintained for very long before needing to be refreshed. Dynamically generated atmospheres are created by a continuously renewed flow of air as a carrier and a source of PAA vapors, which are necessary for evaluating sensor performance over time frames relevant to occupational safety. Generation of PAA vapors can be accomplished from assisted vaporization, including applying heat and/or aerosolization with a nebulizer to accelerate evaporation. Glass reacts with PAA to hydroxylate the silica. used a glass syringe to deliver PAA solution to a nebulizer; however, gas bubbles formed in the syringe leading to uncontrollable ejection of the PAA solution from the syringe. To mitigate this, used acid washed syringes. They generated atmospheres of up to 2 ppm with a reported 95% recovery of theoretical delivered PAA. Dilute solutions of PAA can help to mitigate gas evolution but require more energy to evaporate and introduce additional humidity. For these experiments, PAA vapors were swept directly from the headspace above a PAA solution into our generation system. The flow rate of the air sweeping the headspace was varied to achieve the desired concentration after dilution into the carrier gas stream. When evaporating diluted PAA solutions using a nebulizer, the minimum humidity range is limited due to the water content in the dilute PAA solution. Thus, a wider humidity range on the low end is available when sweeping the headspace. The ability to maintain the concentration of PAA in the headspace above the solution is limited by the kinetics at the PAA solution-air interface. A practical solution was achieved using a PAA delivery system where air was passed through the headspace above a PAA solution in a vial. An impinger with a N,N-diethyl-p-phenylenediamine (DPD) analysis was used as the reference measurement for the PAA concentrations in the generated atmospheres. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/226503",
          "downloadURL": "https://data.cdc.gov/download/9kpc-xntn/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/226503",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1023-2021-0",
      "title": "Source Apportionment and Quantification of Liquid and Headspace Leaks from Closed System Transfer Devices via Selected Ion Flow Tube Mass Spectrometry (SIFT-MS) (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1023-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1023-2021-0</a>.\nClosed system drug-transfer devices (CSTDs) are devices which replace traditional needles, septa, and other connectors used for transferring hazardous drugs (HDs). NIOSH recommends using CSTDs to limit occupational exposure to hazardous materials and sharps when compounding and administering these drugs (NIOSH 2004). One of the engineering challenges associated with CSTDs is management of the headspace that is either compressed or displaced when transferring liquids in and out of drug vials. CSTD designs and components employing various technologies include creating a physical barrier to contain the displaced volume of air or filters to clean the displaced volume of air when transferring HD solutions. In 2015, NIOSH developed a protocol to test material containment of barrier type CSTDs (NIOSH 2015). NIOSH presented a plan to update the testing protocol so that it was applicable to both barrier and air cleaning types of CSTDs (NIOSH 2016). Both barrier type CSTDs and air cleaning type CSTDs may be susceptible to either liquid or headspace vapor leaks. Air-cleaning type CSTDs allow free passage of air but are expected to remove semi-volatile hazardous drugs (HD)s from the exiting airstream. Barrier type CSTDs have been designed to contain air rather than clean it, and it is reasonable to conclude that a headspace leak with a barrier type CSTD would contain the drug at the same concentration as the headspace inside the vial. As a result, the procedure described in this paper can adequately assess the efficacy of barrier type CSTDs based on the volume of liquid and headspace vapor leak measured. However, the volatile compounds used in this procedure will readily pass through an air-cleaning CSTD, regardless of the ability to retain a semi-volatile HD. Therefore, testing the efficacy of an air-cleaning CSTD requires coupling the procedure described herein with an assessment of the ability of air cleaning CSTDs to retain an appropriate semi-volatile surrogate when volumes of headspace containing that surrogate are passed through the CSTDs. The difference in the amount of HD contained in liquid versus headspace vapor leaks may be several orders of magnitude. The work presented herein is a test method that can distinguish the origin and volumetric quantity of liquid and headspace vapor leaked. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Chemical and Biological Monitoring Branch (CBMB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2021-10-18",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Drug Therapy\nHazardous Substances\nOccupational Health\nSafety\nSolvents"
        }
      ],
      "keyword": [
        "Hazardous drugs\nDrug therapy\nMedicinal chemicals\nVapors\nMass spectrometry\nLeak detectors\nMedical treatment"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Ohio\nOSHA Region 5"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222190",
        "title": "Source Apportionment and Quantification of Liquid and Headspace Leaks from Closed System Transfer Devices via Selected Ion Flow Tube Mass Spectrometry (SIFT-MS) (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/ndit-r2zk",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222190",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Source Apportionment and Quantification of Liquid and Headspace Leaks from Closed System Transfer Devices via Selected Ion Flow Tube Mass Spectrometry (SIFT-MS) (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1023-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1023-2021-0</a>.\nClosed system drug-transfer devices (CSTDs) are devices which replace traditional needles, septa, and other connectors used for transferring hazardous drugs (HDs). NIOSH recommends using CSTDs to limit occupational exposure to hazardous materials and sharps when compounding and administering these drugs (NIOSH 2004). One of the engineering challenges associated with CSTDs is management of the headspace that is either compressed or displaced when transferring liquids in and out of drug vials. CSTD designs and components employing various technologies include creating a physical barrier to contain the displaced volume of air or filters to clean the displaced volume of air when transferring HD solutions. In 2015, NIOSH developed a protocol to test material containment of barrier type CSTDs (NIOSH 2015). NIOSH presented a plan to update the testing protocol so that it was applicable to both barrier and air cleaning types of CSTDs (NIOSH 2016). Both barrier type CSTDs and air cleaning type CSTDs may be susceptible to either liquid or headspace vapor leaks. Air-cleaning type CSTDs allow free passage of air but are expected to remove semi-volatile hazardous drugs (HD)s from the exiting airstream. Barrier type CSTDs have been designed to contain air rather than clean it, and it is reasonable to conclude that a headspace leak with a barrier type CSTD would contain the drug at the same concentration as the headspace inside the vial. As a result, the procedure described in this paper can adequately assess the efficacy of barrier type CSTDs based on the volume of liquid and headspace vapor leak measured. However, the volatile compounds used in this procedure will readily pass through an air-cleaning CSTD, regardless of the ability to retain a semi-volatile HD. Therefore, testing the efficacy of an air-cleaning CSTD requires coupling the procedure described herein with an assessment of the ability of air cleaning CSTDs to retain an appropriate semi-volatile surrogate when volumes of headspace containing that surrogate are passed through the CSTDs. The difference in the amount of HD contained in liquid versus headspace vapor leaks may be several orders of magnitude. The work presented herein is a test method that can distinguish the origin and volumetric quantity of liquid and headspace vapor leaked. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/222190",
          "downloadURL": "https://data.cdc.gov/download/ndit-r2zk/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/222190",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1024-2021-0",
      "title": "The Beta-Adrenergic Receptor Blocker and Anti-Inflammatory Drug Propranolol Mitigates Brain Cytokine Expression in a Long-Term Model of Gulf War Illness (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1024-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1024-2021-0</a>.\nGrowing evidence suggests that Gulf War Illness (GWI) is the result of underlying neuroimmune dysfunction. For example, previously we found that several Gulf War-relevant organophosphate, acetylcholinesterase inhibitors produce heightened neuroinflammatory responses following a subchronic stressor exposure. The goal of the study was to evaluate the potential for the beta-adrenergic receptor inhibitor and anti-inflammatory drug, propranolol, to treat neuroinflammation in a novel long-term mouse model of GWI. We established that our long-term GWI model produces enhanced and prolonged neuroinflammation that is dependent upon Gulf War-relevant organophosphate exposure. Propranolol treatment abrogated the neuroinflammation instigated in our model specifically, having no treatment effects in non-DFP exposed groups. Our results indicate that propranolol may be a promising therapy for GWI by treating the underlying neuroinflammation associated with Gulf War-relevant physiological stress and organophosphate exposures. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Toxicology and Molecular Biology Branch (TMBB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2021-11-02",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nImmune System\nNervous System\nNervous System Diseases\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "Cytokines\nNeurological disorders\nImmune reaction\nMilitary personnel\nPhysiological stress\nAnimal studies\nSarin"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222427",
        "title": "The Beta-Adrenergic Receptor Blocker and Anti-Inflammatory Drug Propranolol Mitigates Brain Cytokine Expression in a Long-Term Model of Gulf War Illness (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/eddk-effy",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222427",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "The Beta-Adrenergic Receptor Blocker and Anti-Inflammatory Drug Propranolol Mitigates Brain Cytokine Expression in a Long-Term Model of Gulf War Illness (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1024-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1024-2021-0</a>.\nGrowing evidence suggests that Gulf War Illness (GWI) is the result of underlying neuroimmune dysfunction. For example, previously we found that several Gulf War-relevant organophosphate, acetylcholinesterase inhibitors produce heightened neuroinflammatory responses following a subchronic stressor exposure. The goal of the study was to evaluate the potential for the beta-adrenergic receptor inhibitor and anti-inflammatory drug, propranolol, to treat neuroinflammation in a novel long-term mouse model of GWI. We established that our long-term GWI model produces enhanced and prolonged neuroinflammation that is dependent upon Gulf War-relevant organophosphate exposure. Propranolol treatment abrogated the neuroinflammation instigated in our model specifically, having no treatment effects in non-DFP exposed groups. Our results indicate that propranolol may be a promising therapy for GWI by treating the underlying neuroinflammation associated with Gulf War-relevant physiological stress and organophosphate exposures. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/222427",
          "downloadURL": "https://data.cdc.gov/download/eddk-effy/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/222427",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1025-2021-0",
      "title": "Efficacy of Ventilation, HEPA Air Cleaners, Universal Masking, and Physical Distancing for Reducing Exposure to Simulated Exhaled Aerosols in a Meeting Room (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1025-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1025-2021-0</a>.\nThere is strong evidence associating the indoor environment with transmission of SARS-CoV-2, the virus that causes COVID-19. SARS-CoV-2 can spread by exposure to droplets and very fine aerosol particles from respiratory fluids that are released by infected persons. Layered mitigation strategies, including but not limited to maintaining physical distancing, adequate ventilation, universal masking, avoiding overcrowding, and vaccination, have shown to be effective in reducing the spread of SARS-CoV-2 within the indoor environment. Here, we examine the effect of mitigation strategies on reducing the risk of exposure to simulated respiratory aerosol particles within a classroom-style meeting room. To quantify exposure of uninfected individuals (Recipients), surrogate respiratory aerosol particles were generated by a breathing simulator with a headform (Source) that mimicked breath exhalations. Recipients, represented by three breathing simulators with manikin headforms, were placed in a meeting room and affixed with optical particle counters to measure 0.3-3 µm aerosol particles. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-05-10",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nCommunicable Diseases\nOccupational Health\nPersonal Protective Equipment\nRespiratory Protective Devices\nSafety\nViral Diseases"
        }
      ],
      "keyword": [
        "SARS-CoV-2\nCoronavirus\nCOVID-19\nInfectious diseases\nIndoor environments\nAerosols\nDisease transmission\nHigh-efficiency particulate air filters\nHEPA filters\nFace masks\nProtective measures\nViral diseases\nAerosol particles"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Ohio\nOSHA Region 3\nOSHA Region 5\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222520",
        "title": "Efficacy of Ventilation, HEPA Air Cleaners, Universal Masking, and Physical Distancing for Reducing Exposure to Simulated Exhaled Aerosols in a Meeting Room (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Beezhold; Donald H.\nBlachere; Francoise M.\nBoots T\nCoyle JP\nDerk RC\nFotta; Steven\nLemons; Angela R.\nLindsley; William G.\nMartin; Stephen B. Jr.\nMcKinney WG\nMead; Kenneth R.\nNoti JD\nReynolds JS\nSinsel EW\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/ga52-qyaz",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222520",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Efficacy of Ventilation, HEPA Air Cleaners, Universal Masking, and Physical Distancing for Reducing Exposure to Simulated Exhaled Aerosols in a Meeting Room (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1025-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1025-2021-0</a>.\nThere is strong evidence associating the indoor environment with transmission of SARS-CoV-2, the virus that causes COVID-19. SARS-CoV-2 can spread by exposure to droplets and very fine aerosol particles from respiratory fluids that are released by infected persons. Layered mitigation strategies, including but not limited to maintaining physical distancing, adequate ventilation, universal masking, avoiding overcrowding, and vaccination, have shown to be effective in reducing the spread of SARS-CoV-2 within the indoor environment. Here, we examine the effect of mitigation strategies on reducing the risk of exposure to simulated respiratory aerosol particles within a classroom-style meeting room. To quantify exposure of uninfected individuals (Recipients), surrogate respiratory aerosol particles were generated by a breathing simulator with a headform (Source) that mimicked breath exhalations. Recipients, represented by three breathing simulators with manikin headforms, were placed in a meeting room and affixed with optical particle counters to measure 0.3-3 µm aerosol particles. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/222520",
          "downloadURL": "https://data.cdc.gov/download/ga52-qyaz/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/222520",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1026-2021-0",
      "title": "Effects of E-Cigarette Flavoring Chemicals on Human Macrophages and Bronchial Epithelial Cells (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1026-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1026-2021-0</a>.\nE-cigarettes utilize a wide range of flavoring chemicals whose respiratory health effects are not well understood. In this study, we used pulmonary-associated cell lines to assess the in vitro cytotoxic effects of thirty flavoring chemicals. Human bronchial epithelial cells (BEAS-2B) and both naïve and activated macrophages (THP-1) were treated with 10, 100, and 1000 µM of flavoring chemicals and analyzed for changes in viability, cell membrane damage, reactive oxygen species (ROS) production, and inflammatory cytokine release. Viability was most greatly affected by decanal, hexanal, nonanal, cinnamaldehyde, eugenol, vanillin, alpha-pinene, eugenol, and limonene. High amounts of ROS were elicited by vanillin, ethyl maltol, and the diketones (2,3-pentanedione, 2,3-heptanedione, and 2,3-hexanedione) from both cell lines. Naïve THP-1 cells produced significant levels of IL-1&beta;, IL-8, and TNF-a when exposed to ethyl maltol and hexanal. Activated THP-1 cells released increased IL-1&beta; and TNF-a when exposed to ethyl maltol, but many flavoring chemicals had an apparent suppressive effect on inflammatory cytokines released by activated macrophages, with varying degrees of accompanying cytotoxicity. The diketones, L-carvone, and linalool, suppressed cytokine release in the absence of cytotoxicity. These findings provide insight into patterns of cytotoxicity and inflammatory cytokine release potentially relevant to the development of pathological changes in the lungs of e-cigarette users. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2021-12-10",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Cytotoxins\nElectrical Equipment and Supplies\nFlavoring Agents\nOccupational Health\nSafety\nSmokers"
        }
      ],
      "keyword": [
        "Smoking\nElectronic devices\nCytotoxicity\nCytotoxic effects\nIn vitro study\nReactive oxygen species\nROS\nFlavorings\nCytokines\nCellular effects"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222644",
        "title": "Effects of E-Cigarette Flavoring Chemicals on Human Macrophages and Bronchial Epithelial Cells (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/fveu-vvk9",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222644",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Effects of E-Cigarette Flavoring Chemicals on Human Macrophages and Bronchial Epithelial Cells (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1026-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1026-2021-0</a>.\nE-cigarettes utilize a wide range of flavoring chemicals whose respiratory health effects are not well understood. In this study, we used pulmonary-associated cell lines to assess the in vitro cytotoxic effects of thirty flavoring chemicals. Human bronchial epithelial cells (BEAS-2B) and both naïve and activated macrophages (THP-1) were treated with 10, 100, and 1000 µM of flavoring chemicals and analyzed for changes in viability, cell membrane damage, reactive oxygen species (ROS) production, and inflammatory cytokine release. Viability was most greatly affected by decanal, hexanal, nonanal, cinnamaldehyde, eugenol, vanillin, alpha-pinene, eugenol, and limonene. High amounts of ROS were elicited by vanillin, ethyl maltol, and the diketones (2,3-pentanedione, 2,3-heptanedione, and 2,3-hexanedione) from both cell lines. Naïve THP-1 cells produced significant levels of IL-1&beta;, IL-8, and TNF-a when exposed to ethyl maltol and hexanal. Activated THP-1 cells released increased IL-1&beta; and TNF-a when exposed to ethyl maltol, but many flavoring chemicals had an apparent suppressive effect on inflammatory cytokines released by activated macrophages, with varying degrees of accompanying cytotoxicity. The diketones, L-carvone, and linalool, suppressed cytokine release in the absence of cytotoxicity. These findings provide insight into patterns of cytotoxicity and inflammatory cytokine release potentially relevant to the development of pathological changes in the lungs of e-cigarette users. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/222644",
          "downloadURL": "https://data.cdc.gov/download/fveu-vvk9/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/222644",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1027-2021-0",
      "title": "MicroRNA-Mediated Calcineurin Signaling Activation Induces CCL2, CCL3, CCL5, IL8 and Chemotactic Activities in 4,4′-Methylene Diphenyl Diisocyanate Exposed Macrophages (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1027-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1027-2021-0</a>.\nOccupational exposure to 4,4'-methylene diphenyl diisocyanate (MDI), the most widely used monomeric diisocyanate, is one of the leading causes of occupational asthma (OA). Pathophysiological mechanism(s) by which how MDI causes OA is still warranted to be elucidated. Alveolar macrophages are the most abundant immune cell type in the lung, and these cells serve as one of the first immune responders against inhaled pathogens, particles, stimuli, and chemical allergens such as dNCOs. Upon encountering outside stimuli, alveolar macrophages react by phagocytosis as well as producing and secreting different mediators such as cytokines, chemokines, and others, into the alveoli microenvironment to orchestrate the initiation of inflammatory/immune responses. Dysfunction of alveolar macrophages, including elevated production and secretion of pro-inflammatory cytokines and other immune mediators, has been shown to play an important role in asthma pathogenesis. In the clinical setting, the levels of many immune mediators produced by macrophages have been found elevated in the asthmatic airway. However, both the levels of these asthma-associated, macrophage-secreted inflammatory/immune mediators in MDI-OA patients' airways and how expression of these mediators change in response to MDI exposure in alveolar macrophages are largely undetermined. Previously, we demonstrated a microRNA (miR)-206-3p and miR-381-3p mediated PPP3CA/Calcineurin signaling induced inducible nitric oxide synthase (iNOS) transcription in macrophages and bronchoalveolar lavage cells (BALCs) after acute MDI exposure; however, whether this mechanism participates in regulation of other asthma-associated mediators secreted by macrophages/BALCs after MDI exposure is currently unknown. The first aim of this study was to identify candidate asthma-associated, macrophage-secreted mediators that can be regulated after MDI exposure. After identified the candidate mediators can be regulated by MDI-exposure, we investigated the roles of miR-mediated calcineurin signaling in regulation of these candidate mediators' expressions in relation to the exposure to MDI. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-01-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nAsthma"
        },
        {
          "@type": "Concept",
          "prefLabel": "Occupational\nBlood\nImmune System\nIsocyanates\nMacrophages\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "4",
        "4-Methylene diphenyl diisocyanate\nDiisocyanates\nOccupational asthma\nCell signaling\nImmune reaction\nMacrophages\nCytokines\nAerosols\nPhysiological response"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222742",
        "title": "MicroRNA-Mediated Calcineurin Signaling Activation Induces CCL2, CCL3, CCL5, IL8 and Chemotactic Activities in 4,4′-Methylene Diphenyl Diisocyanate Exposed Macrophages (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/4m2e-y29d",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222742",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "MicroRNA-Mediated Calcineurin Signaling Activation Induces CCL2, CCL3, CCL5, IL8 and Chemotactic Activities in 4,4′-Methylene Diphenyl Diisocyanate Exposed Macrophages (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1027-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1027-2021-0</a>.\nOccupational exposure to 4,4'-methylene diphenyl diisocyanate (MDI), the most widely used monomeric diisocyanate, is one of the leading causes of occupational asthma (OA). Pathophysiological mechanism(s) by which how MDI causes OA is still warranted to be elucidated. Alveolar macrophages are the most abundant immune cell type in the lung, and these cells serve as one of the first immune responders against inhaled pathogens, particles, stimuli, and chemical allergens such as dNCOs. Upon encountering outside stimuli, alveolar macrophages react by phagocytosis as well as producing and secreting different mediators such as cytokines, chemokines, and others, into the alveoli microenvironment to orchestrate the initiation of inflammatory/immune responses. Dysfunction of alveolar macrophages, including elevated production and secretion of pro-inflammatory cytokines and other immune mediators, has been shown to play an important role in asthma pathogenesis. In the clinical setting, the levels of many immune mediators produced by macrophages have been found elevated in the asthmatic airway. However, both the levels of these asthma-associated, macrophage-secreted inflammatory/immune mediators in MDI-OA patients' airways and how expression of these mediators change in response to MDI exposure in alveolar macrophages are largely undetermined. Previously, we demonstrated a microRNA (miR)-206-3p and miR-381-3p mediated PPP3CA/Calcineurin signaling induced inducible nitric oxide synthase (iNOS) transcription in macrophages and bronchoalveolar lavage cells (BALCs) after acute MDI exposure; however, whether this mechanism participates in regulation of other asthma-associated mediators secreted by macrophages/BALCs after MDI exposure is currently unknown. The first aim of this study was to identify candidate asthma-associated, macrophage-secreted mediators that can be regulated after MDI exposure. After identified the candidate mediators can be regulated by MDI-exposure, we investigated the roles of miR-mediated calcineurin signaling in regulation of these candidate mediators' expressions in relation to the exposure to MDI. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/222742",
          "downloadURL": "https://data.cdc.gov/download/4m2e-y29d/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/222742",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1028-2021-0",
      "title": "Modeling Neuroimmune Interactions in Human Subjects and Animal Models to Predict Subtype Specific Multidrug Treatments for Gulf War Illness (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1028-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1028-2021-0</a>.\nGulf War Illness (GWI) is a persistent chronic neuroinflammatory illness exacerbated by external stressors and characterized by fatigue, musculoskeletal pain, cognitive and neurological problems linked to underlying immunological dysfunction for which there is no known treatment. Here, we constructed a logic model of immune regulatory behavior between human clinical samples and mouse models of GWI subtyped by exposure to traumatic stress. We identify several ideal multi-intervention strategies and potential drug candidates that may be used to treat chronic neuroinflammation in GWI. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Toxicology and Molecular Biology Branch (TMBB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2021-12-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Chronic Disease\nDrug Therapy\nFatigue\nImmune System\nNervous System\nNervous System Diseases\nOccupational Health\nSafety\nStress Disorders"
        },
        {
          "@type": "Concept",
          "prefLabel": "Post-Traumatic"
        }
      ],
      "keyword": [
        "Neurological disorders\nNeurophysiological effects\nFatigue\nMilitary personnel\nCognitive function\nImmune reaction\nTraumatic incident stress\nIntervention\nDrug therapy\nChronic diseases"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222743",
        "title": "Modeling Neuroimmune Interactions in Human Subjects and Animal Models to Predict Subtype Specific Multidrug Treatments for Gulf War Illness (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/phkb-u384",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222743",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Modeling Neuroimmune Interactions in Human Subjects and Animal Models to Predict Subtype Specific Multidrug Treatments for Gulf War Illness (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1028-2021-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1028-2021-0</a>.\nGulf War Illness (GWI) is a persistent chronic neuroinflammatory illness exacerbated by external stressors and characterized by fatigue, musculoskeletal pain, cognitive and neurological problems linked to underlying immunological dysfunction for which there is no known treatment. Here, we constructed a logic model of immune regulatory behavior between human clinical samples and mouse models of GWI subtyped by exposure to traumatic stress. We identify several ideal multi-intervention strategies and potential drug candidates that may be used to treat chronic neuroinflammation in GWI. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/222743",
          "downloadURL": "https://data.cdc.gov/download/phkb-u384/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/222743",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1029-2022-0",
      "title": "Face Mask Fit Modifications That Improve Source Control Performance (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1029-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1029-2022-0</a>.\nSARS-CoV-2 is a highly infectious respiratory virus that is primarily transmitted by respiratory aerosols and droplets emitted during activities such as talking, breathing, and coughing. Because symptomatic and asymptomatic individuals with COVID-19 can exhibit a high viral load of SARS-CoV-2 in their respiratory fluids, the CDC recommends that people wear a face mask that covers the nose and mouth to reduce community transmission during the COVID-19 pandemic. Wearing a face mask to protect others from potentially infectious droplets, called source control, has been shown to be a highly effective infection control strategy to limit the spread of COVID-19. The presence of mask face seal leaks enables respiratory aerosols to escape out rather than pass through the filtering materials of the mask, consequently reducing the benefits of wearing a face mask for source control. As such, the current investigation examines various modifications that improve the fit of a medical or cloth face mask and reduce the amounts of expelled aerosols during simulated coughs and exhalations. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-02-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nCommunicable Diseases\nOccupational Health\nPersonal Protective Equipment\nRespiratory Protective Devices\nRespiratory System\nRespiratory Tract Diseases\nSafety"
        }
      ],
      "keyword": [
        "SARS-CoV-2\nCOVID-19\nAerosols\nFace masks\nInfection control\nInfectious diseases\nRespiratory infections\nProtective equipment\nAerosol particles\nFit testing"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222877",
        "title": "Face Mask Fit Modifications That Improve Source Control Performance (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Beezhold; Donald H.\nBlachere; Francoise M.\nBoots T\nBoutin B\nCoyle JP\nDerk RC\nDuling; Matthew G.\nHarris JR\nLemons; Angela R.\nLindsley; William G.\nNoti JD\nNurkiewicz T\nWoodfork K\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/n7uz-829a",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222877",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Face Mask Fit Modifications That Improve Source Control Performance (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1029-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1029-2022-0</a>.\nSARS-CoV-2 is a highly infectious respiratory virus that is primarily transmitted by respiratory aerosols and droplets emitted during activities such as talking, breathing, and coughing. Because symptomatic and asymptomatic individuals with COVID-19 can exhibit a high viral load of SARS-CoV-2 in their respiratory fluids, the CDC recommends that people wear a face mask that covers the nose and mouth to reduce community transmission during the COVID-19 pandemic. Wearing a face mask to protect others from potentially infectious droplets, called source control, has been shown to be a highly effective infection control strategy to limit the spread of COVID-19. The presence of mask face seal leaks enables respiratory aerosols to escape out rather than pass through the filtering materials of the mask, consequently reducing the benefits of wearing a face mask for source control. As such, the current investigation examines various modifications that improve the fit of a medical or cloth face mask and reduce the amounts of expelled aerosols during simulated coughs and exhalations. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/222877",
          "downloadURL": "https://data.cdc.gov/download/n7uz-829a/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/222877",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1030-2022-0",
      "title": "Reduction of Exposure to Simulated Respiratory Aerosols Using Ventilation, Physical Distancing, and Universal Masking (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1030-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1030-2022-0</a>.\nThe association between human respiratory disease transmission by respiratory droplets and aerosols is well established for several known pathogens. Given that the average individual spends > 90% of their day indoors, there has been intense focus on factors associated with indoor transmission. To minimize exposure risks, the Centers for Disease Control and Prevention (CDC) recommends behavioral and personal protective equipment mitigation strategies to limit COVID-19 transmission, including wearing masks, maintaining physical distances of > 1.8 m, and avoiding crowded indoor and outdoor spaces. As such, the current investigation examines the combined effect of physical distancing, universal masking, and ventilation on exposure to airborne particles generated during breathing and coughing within a controlled indoor environment. The results of this investigation quantitatively examine the contribution of the matrix of controls employed and provides guidance on respiratory disease mitigation strategies within the indoor environment. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-04-08",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nCommunicable Diseases\nOccupational Health\nPersonal Protective Equipment\nRespiratory Protective Devices\nSafety\nVentilation\nViral Diseases"
        }
      ],
      "keyword": [
        "SARS-CoV-2\nCoronavirus\nCOVID-19\nInfectious diseases\nIndoor environments\nAerosols\nDisease transmission\nProtective measures\nViral diseases\nFace masks\nVentilation\nControl methods"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222922",
        "title": "Reduction of Exposure to Simulated Respiratory Aerosols Using Ventilation, Physical Distancing, and Universal Masking (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Beezhold; Donald H.\nBlachere; Francoise M.\nBoots T\nCoyle JP\nDerk RC\nLemons; Angela R.\nLindsley; William G.\nMcKinney WG\nNoti JD\nReynolds JS\nSinsel EW\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/hh8a-ys2f",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222922",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Reduction of Exposure to Simulated Respiratory Aerosols Using Ventilation, Physical Distancing, and Universal Masking (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1030-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1030-2022-0</a>.\nThe association between human respiratory disease transmission by respiratory droplets and aerosols is well established for several known pathogens. Given that the average individual spends > 90% of their day indoors, there has been intense focus on factors associated with indoor transmission. To minimize exposure risks, the Centers for Disease Control and Prevention (CDC) recommends behavioral and personal protective equipment mitigation strategies to limit COVID-19 transmission, including wearing masks, maintaining physical distances of > 1.8 m, and avoiding crowded indoor and outdoor spaces. As such, the current investigation examines the combined effect of physical distancing, universal masking, and ventilation on exposure to airborne particles generated during breathing and coughing within a controlled indoor environment. The results of this investigation quantitatively examine the contribution of the matrix of controls employed and provides guidance on respiratory disease mitigation strategies within the indoor environment. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/222922",
          "downloadURL": "https://data.cdc.gov/download/hh8a-ys2f/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/222922",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1031-2022-0",
      "title": "Efficacy of Portable Air Cleaners and Masking for Reducing Indoor Exposure to Simulated Exhaled SARS-CoV-2 Aerosols - United States, 2021 (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1031-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1031-2022-0</a>.\nSARS-CoV-2 can be spread by droplets and aerosols expelled by infected people when they cough, talk, sing, or exhale. To reduce exposure to these droplets and aerosols while indoors, CDC recommends measures including physical distancing, universal mask wearing, and room ventilation. Ventilation systems can be supplemented with portable air cleaners to remove infectious material from the air more quickly and provide greater protection. We conducted a case study using respiratory simulators to examine the efficacy of portable High Efficiency Particulate Air (HEPA) air cleaners and universal masking at reducing exposure to simulated exhaled aerosol particles from an infected meeting participant in a conference room. We found that, in a room with good air mixing, the use of two HEPA air cleaners meeting the EPA recommended Clean Air Delivery Rate (CADR) reduced the overall exposure by up to 65%, and that the combination of the HEPA air cleaners and universal masking reduced exposure by up to 90%. The air cleaners were most effective when they were close to the aerosol source. Our results demonstrate that portable HEPA cleaners can be an effective method to reduce exposure to airborne particles while meeting indoors, especially in combination with universal masking. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-02-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nCommunicable Diseases\nOccupational Health\nSafety\nViral Diseases"
        }
      ],
      "keyword": [
        "SARS-CoV-2\nCoronavirus\nCOVID-19\nInfectious diseases\nIndoor environments\nAerosols\nDisease transmission\nHigh-efficiency particulate air filters\nHEPA filters\nViral diseases\nAerosol particles"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Ohio\nOSHA Region 3\nOSHA Region 5\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222927",
        "title": "Efficacy of Portable Air Cleaners and Masking for Reducing Indoor Exposure to Simulated Exhaled SARS-CoV-2 Aerosols - United States, 2021 (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Beezhold; Donald H.\nBlachere; Francoise M.\nBoots T\nBrooks JT\nCoyle J\nDerk RC\nLindsley; William G.\nMartin SB Jr.\nMead; Kenneth R.\nNoti JD\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/wtvk-6zfr",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222927",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Efficacy of Portable Air Cleaners and Masking for Reducing Indoor Exposure to Simulated Exhaled SARS-CoV-2 Aerosols - United States, 2021 (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1031-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1031-2022-0</a>.\nSARS-CoV-2 can be spread by droplets and aerosols expelled by infected people when they cough, talk, sing, or exhale. To reduce exposure to these droplets and aerosols while indoors, CDC recommends measures including physical distancing, universal mask wearing, and room ventilation. Ventilation systems can be supplemented with portable air cleaners to remove infectious material from the air more quickly and provide greater protection. We conducted a case study using respiratory simulators to examine the efficacy of portable High Efficiency Particulate Air (HEPA) air cleaners and universal masking at reducing exposure to simulated exhaled aerosol particles from an infected meeting participant in a conference room. We found that, in a room with good air mixing, the use of two HEPA air cleaners meeting the EPA recommended Clean Air Delivery Rate (CADR) reduced the overall exposure by up to 65%, and that the combination of the HEPA air cleaners and universal masking reduced exposure by up to 90%. The air cleaners were most effective when they were close to the aerosol source. Our results demonstrate that portable HEPA cleaners can be an effective method to reduce exposure to airborne particles while meeting indoors, especially in combination with universal masking. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/222927",
          "downloadURL": "https://data.cdc.gov/download/wtvk-6zfr/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/222927",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1032-2022-0",
      "title": "High-Fat Western Diet Consumption Exacerbates Silica-Induced Pulmonary Inflammation and Fibrosis (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1032-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1032-2022-0</a>.\nAdipose tissue (AT), an endocrine organ, plays a central role in maintenance of whole-body energy homeostasis through its release of adipokines. Obesity, affecting over 40% of American adults, disrupts adipocyte metabolism leading to chronic systemic inflammation and metabolic dysfunction (MetDys). MetDys is associated with impaired lung function, pulmonary hypertension, and asthma. The aim of this study was to investigate the effects of high-fat Western diet (HFWD)-consumption on silica-induced pulmonary inflammation and fibrosis in the F344 rat. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-05-19",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nBody Weight\nDiet\nLung\nLung Diseases\nOccupational Health\nRespiratory System\nRespiratory Tract Diseases\nSafety\nSilicon Dioxide"
        }
      ],
      "keyword": [
        "Adipose tissue\nObesity\nBody weight\nMetabolic disorders\nLung function\nPulmonary system\nLung fibrosis\nSilica\nDietary effects\nDiet\nAnimal studies"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222970",
        "title": "High-Fat Western Diet Consumption Exacerbates Silica-Induced Pulmonary Inflammation and Fibrosis (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/eur4-ng38",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/222970",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "High-Fat Western Diet Consumption Exacerbates Silica-Induced Pulmonary Inflammation and Fibrosis (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1032-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1032-2022-0</a>.\nAdipose tissue (AT), an endocrine organ, plays a central role in maintenance of whole-body energy homeostasis through its release of adipokines. Obesity, affecting over 40% of American adults, disrupts adipocyte metabolism leading to chronic systemic inflammation and metabolic dysfunction (MetDys). MetDys is associated with impaired lung function, pulmonary hypertension, and asthma. The aim of this study was to investigate the effects of high-fat Western diet (HFWD)-consumption on silica-induced pulmonary inflammation and fibrosis in the F344 rat. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/222970",
          "downloadURL": "https://data.cdc.gov/download/eur4-ng38/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/222970",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1034-2022-0",
      "title": "Dermal exposure to the immunomodulatory antimicrobial chemical triclosan alters the skin barrier integrity and microbiome in mice (dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1034-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1034-2022-0</a>.\nTriclosan is an antimicrobial chemical used in healthcare settings that can be absorbed through the skin. Exposure to triclosan has been positively associated with food and aeroallergy and asthma exacerbation in humans and, although not directly sensitizing, has been demonstrated to augment the allergic response in a mouse model of asthma. The skin barrier and microbiome are thought to play important roles in mediating inflammation and allergy and disruptions may contribute to development of allergic disease. To investigate potential connections of the skin barrier and microbiome with immune responses to triclosan, SKH1 mice were dermally exposed to triclosan (0.5-2%) or vehicle for up to 7 consecutive days. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-04-18",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nHypersensitivity\nImmune System\nOccupational Health\nSafety\nSkin"
        }
      ],
      "keyword": [
        "Dermal exposures\nSkin exposure\nAnimal studies\nAntimicrobials\nSkin irritants\nImmunological tests\nImmune reaction\nAllergic reactions\nAllergies"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248842",
        "title": "Dermal exposure to the immunomodulatory antimicrobial chemical triclosan alters the skin barrier integrity and microbiome in mice (dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/64br-p84f",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248842",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Dermal exposure to the immunomodulatory antimicrobial chemical triclosan alters the skin barrier integrity and microbiome in mice (dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1034-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1034-2022-0</a>.\nTriclosan is an antimicrobial chemical used in healthcare settings that can be absorbed through the skin. Exposure to triclosan has been positively associated with food and aeroallergy and asthma exacerbation in humans and, although not directly sensitizing, has been demonstrated to augment the allergic response in a mouse model of asthma. The skin barrier and microbiome are thought to play important roles in mediating inflammation and allergy and disruptions may contribute to development of allergic disease. To investigate potential connections of the skin barrier and microbiome with immune responses to triclosan, SKH1 mice were dermally exposed to triclosan (0.5-2%) or vehicle for up to 7 consecutive days. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/248842",
          "downloadURL": "https://data.cdc.gov/download/64br-p84f/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/248842",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1035-2022-0",
      "title": "Development of a thermal spray coating aerosol generator and inhalation exposure system (dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1035-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1035-2022-0</a>.\nThermal spray coating involves spraying a product that is melted by extremely high temperatures and then applied under pressure under pressure onto a surface. Large amounts of a complex metal aerosol (e.g., Fe, Cr, Ni, Zn) are formed during the process, presenting a potentially serious risk to the operator. Information about the health effects associated with exposure to these aerosols is lacking. Even less is known about the chemical and physical properties of these aerosols. The goal was to develop and test an automated thermal spray coating aerosol generator and inhalation exposure system that would simulate workplace exposures. An electric arc wire- thermal spray coating aerosol generator and exposure system was designed and separated into two areas: (A) an enclosed room where the spray coating occurs; (B) an exposure chamber with different measurement devices and controllers. The physicochemical properties of aerosols generated during electric arc wire- thermal spray coating using five different consumable wires were examined. The generated particles regardless of composition were poorly soluble, complex metal oxides and mostly arranged as chain-like agglomerates and similar in size distribution as determined by MOUDI and ELPI. To allow for continuous, sequential spray coating during a 4-hr exposure period, a motor rotated the metal pipe to be coated in a circular and up-and-down direction. In a pilot animal study, male Sprague-Dawley rats were exposed to aerosols (25 mg/m3 x 4 hr/d x 9 d) generated from electric arc wire- thermal spray coating using a stainless-steel PMET720 consumable wire. The targeted exposure chamber concentration was achieved and maintained during a 4-hr period. At 1 d after exposure, lung injury and inflammation were significantly elevated in the group exposed to the thermal spray coating aerosol compared to the air control group. A thermal spray coating inhalation system was designed and constructed that will generate continuous metal spray coating aerosols at a targeted concentration for extended periods of time without interruption for future animal exposure studies. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
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            "@type": "Organization",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-04-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nImmune System\nLung\nMetals\nOccupational Exposure\nOccupational Health\nRespiratory System\nSafety"
        }
      ],
      "keyword": [
        "Spraying operations\nSprays\nMetals\nMetal fumes\nAerosols\nAerosol particles\nInhalation studies\nOccupational exposure\nMetal oxides\nLung irritants\nImmune reaction"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248857",
        "title": "Development of a thermal spray coating aerosol generator and inhalation exposure system (dataset)"
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      "rightsHolder": [
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          "@type": "Organization",
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      ],
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        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/ur6f-kidn",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248857",
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      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Development of a thermal spray coating aerosol generator and inhalation exposure system (dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1035-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1035-2022-0</a>.\nThermal spray coating involves spraying a product that is melted by extremely high temperatures and then applied under pressure under pressure onto a surface. Large amounts of a complex metal aerosol (e.g., Fe, Cr, Ni, Zn) are formed during the process, presenting a potentially serious risk to the operator. Information about the health effects associated with exposure to these aerosols is lacking. Even less is known about the chemical and physical properties of these aerosols. The goal was to develop and test an automated thermal spray coating aerosol generator and inhalation exposure system that would simulate workplace exposures. An electric arc wire- thermal spray coating aerosol generator and exposure system was designed and separated into two areas: (A) an enclosed room where the spray coating occurs; (B) an exposure chamber with different measurement devices and controllers. The physicochemical properties of aerosols generated during electric arc wire- thermal spray coating using five different consumable wires were examined. The generated particles regardless of composition were poorly soluble, complex metal oxides and mostly arranged as chain-like agglomerates and similar in size distribution as determined by MOUDI and ELPI. To allow for continuous, sequential spray coating during a 4-hr exposure period, a motor rotated the metal pipe to be coated in a circular and up-and-down direction. In a pilot animal study, male Sprague-Dawley rats were exposed to aerosols (25 mg/m3 x 4 hr/d x 9 d) generated from electric arc wire- thermal spray coating using a stainless-steel PMET720 consumable wire. The targeted exposure chamber concentration was achieved and maintained during a 4-hr period. At 1 d after exposure, lung injury and inflammation were significantly elevated in the group exposed to the thermal spray coating aerosol compared to the air control group. A thermal spray coating inhalation system was designed and constructed that will generate continuous metal spray coating aerosols at a targeted concentration for extended periods of time without interruption for future animal exposure studies. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/248857",
          "downloadURL": "https://data.cdc.gov/download/ur6f-kidn/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/248857",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1036-2022-0",
      "title": "Revealing the structural and chemical properties of copper-based nanoparticles released from copper treated wood (dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1036-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1036-2022-0</a>.\nCopper-based preservatives consisting of micronized and nanoscale copper particles have been widely used in applications for wood protection. The presence of micronized/nanoscale particles and soluble aqueous copper in copper-treated wood has raised questions regarding the forms of released particles and the potential hazards of exposure during the use of these products. However, the lack of a comprehensive understanding of the chemistry of these Cu species is limiting the future investigation of the toxicity of these materials and their potential health impact on workers. In this work, we used a combination of scanning transmission electron microscope (STEM) and electron energy loss spectroscopy (EELS) to analyze the particles released during the sanding/sawing of copper-treated lumber. We have demonstrated using EELS Cu L2,3 edges with comparative reference spectra to determine the Cu species. Three types of species, including basic copper carbonate (BCC), Cu(0), and Cu(II)-Wood complex, were identified in released wood dust particles. The unbound copper particles also exist as a form of BCC or reduced Cu(0). The morphologies and chemical states of emitted copper particles indicate the potential chemical transformation due to copper-wood interactions. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Chemical and Biological Monitoring Branch (CBMB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-05-11",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Copper\nDust\nOccupational Health\nParticulate Matter\nSafety\nSpectrum Analysis\nToxicology\nWood"
        }
      ],
      "keyword": [
        "Copper\nCopper compounds\nNanoparticles\nNanotoxicology\nScanning electron microscopy\nSpectrographic analysis\nWood products\nWood dust\nParticulates"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Ohio\nOSHA Region 5"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/249300",
        "title": "Revealing the structural and chemical properties of copper-based nanoparticles released from copper treated wood (dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/gt7a-q73y",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/249300",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Revealing the structural and chemical properties of copper-based nanoparticles released from copper treated wood (dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1036-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1036-2022-0</a>.\nCopper-based preservatives consisting of micronized and nanoscale copper particles have been widely used in applications for wood protection. The presence of micronized/nanoscale particles and soluble aqueous copper in copper-treated wood has raised questions regarding the forms of released particles and the potential hazards of exposure during the use of these products. However, the lack of a comprehensive understanding of the chemistry of these Cu species is limiting the future investigation of the toxicity of these materials and their potential health impact on workers. In this work, we used a combination of scanning transmission electron microscope (STEM) and electron energy loss spectroscopy (EELS) to analyze the particles released during the sanding/sawing of copper-treated lumber. We have demonstrated using EELS Cu L2,3 edges with comparative reference spectra to determine the Cu species. Three types of species, including basic copper carbonate (BCC), Cu(0), and Cu(II)-Wood complex, were identified in released wood dust particles. The unbound copper particles also exist as a form of BCC or reduced Cu(0). The morphologies and chemical states of emitted copper particles indicate the potential chemical transformation due to copper-wood interactions. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/249300",
          "downloadURL": "https://data.cdc.gov/download/gt7a-q73y/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/249300",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1037-2022-0",
      "title": "Evaluation of the fall protection of Type I industrial helmets (dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1037-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1037-2022-0</a>.\nType I industrial helmets have been widely used at construction sites and by manufacturers as ``general purpose\" safety helmets. The performance of Type I industrial helmets for fall protection is not required to be tested in standardized tests. Chin straps and suspension system adjustment mechanisms are two important components of a typical industrial helmet, but the effects of proper use of them on the protective performance of Type I helmets have not been evaluated. The current study was designed to analyze the fall protection performance of Type I industrial helmets and to evaluate if the use of a chin strap and the suspension system tightness have any effect on protection performance. Head impact tests were performed by letting an instrumented manikin free fall backwards, from a standing posture, so that the manikin would make head-first contact with a solid surface of two different materials (concrete and plywood-covered). The results showed that all four tested helmet models demonstrated excellent performances for fall protection compared to the control group without wearing helmets. The fall protection performance of the advanced helmet models was substantially better than the basic helmet models. However, the effects of the use of chin straps and suspension system tightness on the helmets' fall protection performance were statistically not significant. The findings of our study provide information to help construction companies and manufacturers better manage the use of Type I helmets for fall protection, thereby reducing work-related traumatic brain injury risks. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)\nDivision of Safety Research (DSR). Protective Technology Branch (PTB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-12-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Accidental Falls\nConstruction Industry\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "Head protective equipment\nFall protection\nConstruction industry\nSafety helmets\nInjury prevention\nEquipment testing"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/249301",
        "title": "Evaluation of the fall protection of Type I industrial helmets (dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Cobb C\nKau T-Y\nMoorehead A\nPan; Christopher S.\nWimer BM\nWu; John Z.\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/mscq-ew9n",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/249301",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Evaluation of the fall protection of Type I industrial helmets (dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1037-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1037-2022-0</a>.\nType I industrial helmets have been widely used at construction sites and by manufacturers as ``general purpose\" safety helmets. The performance of Type I industrial helmets for fall protection is not required to be tested in standardized tests. Chin straps and suspension system adjustment mechanisms are two important components of a typical industrial helmet, but the effects of proper use of them on the protective performance of Type I helmets have not been evaluated. The current study was designed to analyze the fall protection performance of Type I industrial helmets and to evaluate if the use of a chin strap and the suspension system tightness have any effect on protection performance. Head impact tests were performed by letting an instrumented manikin free fall backwards, from a standing posture, so that the manikin would make head-first contact with a solid surface of two different materials (concrete and plywood-covered). The results showed that all four tested helmet models demonstrated excellent performances for fall protection compared to the control group without wearing helmets. The fall protection performance of the advanced helmet models was substantially better than the basic helmet models. However, the effects of the use of chin straps and suspension system tightness on the helmets' fall protection performance were statistically not significant. The findings of our study provide information to help construction companies and manufacturers better manage the use of Type I helmets for fall protection, thereby reducing work-related traumatic brain injury risks. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/249301",
          "downloadURL": "https://data.cdc.gov/download/mscq-ew9n/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/249301",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1038-2022-0",
      "title": "Biological effects of crude oil vapor. IV. Cardiovascular effects (dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1038-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1038-2022-0</a>.\nAccording to the North American Industry Classification System, workers employed in the oil and gas extraction industry are working in one of three areas; 1) extraction, 2) drilling, or 3) processing and refinement (Bureau of Labor Statistics, April 15, 2014). Both workers and people living in communities that are in close proximity to areas where gas and oil extraction and refinement occur have a higher incidence of respiratory, cardiovascular, digestive, reproductive and nervous system disorders, The goal of these studies was to identify mechanisms underlying the development of cardiovascular disease after inhalation of crude oil vapors (COV). The oil used for this study was a surrogate of the crude oil that leaked into the Gulf of Mexico after the Deepwater Horizon oil spill (McKinney et al., 2021). We tested the hypothesis that changes in cardiovascular function after inhalation of COV are manifested as changes in the responsiveness of the heart and peripheral vascular system to vasoconstricting and vasodilating agonists. Based on previous studies, we also predicted that inhalation of COV would affect the expression of biomarkers of cardiac and kidney function that are associated with blood pressure regulation and disease. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Physical Effects Research Branch (PERB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-06-07",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Cardiovascular Diseases\nCardiovascular System\nOccupational Health\nOil and Gas Industry\nRespiratory System\nSafety"
        }
      ],
      "keyword": [
        "Oil vapors\nOil industry\nGas industry\nCardiovascular disease\nCrude oil\nOil spills\nDeepwater Horizon\nInhalation\nCardiac function\nKidney function"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248778",
        "title": "Biological effects of crude oil vapor. IV. Cardiovascular effects (dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/gkpu-vawv",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248778",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Biological effects of crude oil vapor. IV. Cardiovascular effects (dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1038-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1038-2022-0</a>.\nAccording to the North American Industry Classification System, workers employed in the oil and gas extraction industry are working in one of three areas; 1) extraction, 2) drilling, or 3) processing and refinement (Bureau of Labor Statistics, April 15, 2014). Both workers and people living in communities that are in close proximity to areas where gas and oil extraction and refinement occur have a higher incidence of respiratory, cardiovascular, digestive, reproductive and nervous system disorders, The goal of these studies was to identify mechanisms underlying the development of cardiovascular disease after inhalation of crude oil vapors (COV). The oil used for this study was a surrogate of the crude oil that leaked into the Gulf of Mexico after the Deepwater Horizon oil spill (McKinney et al., 2021). We tested the hypothesis that changes in cardiovascular function after inhalation of COV are manifested as changes in the responsiveness of the heart and peripheral vascular system to vasoconstricting and vasodilating agonists. Based on previous studies, we also predicted that inhalation of COV would affect the expression of biomarkers of cardiac and kidney function that are associated with blood pressure regulation and disease. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/248778",
          "downloadURL": "https://data.cdc.gov/download/gkpu-vawv/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/248778",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1039-2022-0",
      "title": "Pulmonary toxicity and gene expression changes in response to whole-body inhalation exposure to multi-walled carbon nanotubes in rats (dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1039-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1039-2022-0</a>.\nNanomaterials represent a new class of materials with numerous industrial applications. Considering the projected increase in the production and use of nanomaterials, a corresponding increase in occupational exposure to nanomaterials and their resulting adverse health effects may be anticipated among workers. There is substantial evidence in the literature, based on cell culture and animal studies, supporting the potential toxicity and detrimental health effects associated with exposure to nanomaterials. Intervention and/or prevention of adverse health effects associated with occupational exposure to toxic nanomaterials is a concern for health providers and regulatory and non-regulatory government agencies as the use of nanomaterials expand. A key element in the intervention and/or prevention of the adverse health effects associated with occupational exposure to toxic nanomaterials is a clear understanding of the molecular mechanisms underlying the pulmonary toxicity induced by nanomaterials. Due to its physicochemical and mechanical properties, multi-walled carbon nanotubes (MWCNT) have found many industrial applications. There is potential for human exposure to MWCNT or products that contain MWCNT both during the production and use of the materials that contain MWCNT. The objectives of the current study were to investigate MWCNT-induced lung toxicity and the molecular mechanisms underlying that toxicity. A rat inhalation exposure model was employed to determine the lung toxicity induced by MWCNT. Global gene expression profiles in the lung and blood were conducted to determine the molecular mechanisms underlying MWCNT-induced lung toxicity. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Toxicology and Molecular Biology Branch (TMBB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-06-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nLung\nOccupational Health\nRespiratory System\nSafety"
        }
      ],
      "keyword": [
        "Nanomaterials\nMWCNT\nMulti-walled carbon nanotubes\nAnimal studies\nGene expression\nPulmonary effects\nToxic effects\nLung tissue"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/249439",
        "title": "Pulmonary toxicity and gene expression changes in response to whole-body inhalation exposure to multi-walled carbon nanotubes in rats (dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/k2fe-zny8",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/249439",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Pulmonary toxicity and gene expression changes in response to whole-body inhalation exposure to multi-walled carbon nanotubes in rats (dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1039-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1039-2022-0</a>.\nNanomaterials represent a new class of materials with numerous industrial applications. Considering the projected increase in the production and use of nanomaterials, a corresponding increase in occupational exposure to nanomaterials and their resulting adverse health effects may be anticipated among workers. There is substantial evidence in the literature, based on cell culture and animal studies, supporting the potential toxicity and detrimental health effects associated with exposure to nanomaterials. Intervention and/or prevention of adverse health effects associated with occupational exposure to toxic nanomaterials is a concern for health providers and regulatory and non-regulatory government agencies as the use of nanomaterials expand. A key element in the intervention and/or prevention of the adverse health effects associated with occupational exposure to toxic nanomaterials is a clear understanding of the molecular mechanisms underlying the pulmonary toxicity induced by nanomaterials. Due to its physicochemical and mechanical properties, multi-walled carbon nanotubes (MWCNT) have found many industrial applications. There is potential for human exposure to MWCNT or products that contain MWCNT both during the production and use of the materials that contain MWCNT. The objectives of the current study were to investigate MWCNT-induced lung toxicity and the molecular mechanisms underlying that toxicity. A rat inhalation exposure model was employed to determine the lung toxicity induced by MWCNT. Global gene expression profiles in the lung and blood were conducted to determine the molecular mechanisms underlying MWCNT-induced lung toxicity. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/249439",
          "downloadURL": "https://data.cdc.gov/download/k2fe-zny8/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/249439",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1040-2022-0",
      "title": "Lung Toxicity Profile of Inhaled Copper-Nickel Welding Fume in A/J Mice (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1040-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1040-2022-0</a>.\nThe process of stainless steel welding creates fumes rich in carcinogenic metals such as chromium (Cr). Welding consumables devoid of Cr are being produced in attempt to limit worker exposures to potentially toxic and carcinogenic metals. The study objective was to characterize a copper-nickel (Cu-Ni) fume generated using gas metal arc welding (GMAW) and determine the pulmonary deposition and toxicity of the fume in mice exposed by inhalation. Male A/J mice (6 - 8 weeks of age) were exposed to air or Cu-Ni welding fumes for 2 (low deposition) or 4 (high deposition) hours/day for 10 days. Mice were sacrificed and bronchoalveolar lavage (BAL), macrophage function, and histopathological analysis were performed at various timepoints post-exposure to evaluate resolution. Characterization of the fume indicated that most of the particles were between 0.1 and 1 µm in diameter, with a mass median aerodynamic diameter of 0.43 µm. Metal content of the fume was primarily Cu (approx. 76%) and Ni (approx. 12%). After exposure, BAL macrophages had a reduced ability to phagocytose E. coli at 1 and 7 days and lung cytotoxicity was evident and significant (>12-19% fold change). Loss of body weight was also significant at these two early timepoints. Lung inflammation, the predominant lesion identified by histopathology, was observed as a subacute response early that progressively resolved by 28 days with only macrophage aggregates remaining late (84 days). Future studies are planned to investigate the tumorigenic potential of Cu-Ni fume in A/J mice. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-07-05",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nBlood\nChromium\nLung\nMacrophages\nMetals\nNickel\nOccupational Health\nRespiratory System\nSafety\nWelding"
        }
      ],
      "keyword": [
        "Animal studies\nToxic effects\nLung tissue\nWelding fumes\nStainless steel\nMetals\nChromium\nCopper alloys\nNickel\nMacrophages"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248913",
        "title": "Lung Toxicity Profile of Inhaled Copper-Nickel Welding Fume in A/J Mice (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/5b7j-usbu",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248913",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Lung Toxicity Profile of Inhaled Copper-Nickel Welding Fume in A/J Mice (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1040-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1040-2022-0</a>.\nThe process of stainless steel welding creates fumes rich in carcinogenic metals such as chromium (Cr). Welding consumables devoid of Cr are being produced in attempt to limit worker exposures to potentially toxic and carcinogenic metals. The study objective was to characterize a copper-nickel (Cu-Ni) fume generated using gas metal arc welding (GMAW) and determine the pulmonary deposition and toxicity of the fume in mice exposed by inhalation. Male A/J mice (6 - 8 weeks of age) were exposed to air or Cu-Ni welding fumes for 2 (low deposition) or 4 (high deposition) hours/day for 10 days. Mice were sacrificed and bronchoalveolar lavage (BAL), macrophage function, and histopathological analysis were performed at various timepoints post-exposure to evaluate resolution. Characterization of the fume indicated that most of the particles were between 0.1 and 1 µm in diameter, with a mass median aerodynamic diameter of 0.43 µm. Metal content of the fume was primarily Cu (approx. 76%) and Ni (approx. 12%). After exposure, BAL macrophages had a reduced ability to phagocytose E. coli at 1 and 7 days and lung cytotoxicity was evident and significant (>12-19% fold change). Loss of body weight was also significant at these two early timepoints. Lung inflammation, the predominant lesion identified by histopathology, was observed as a subacute response early that progressively resolved by 28 days with only macrophage aggregates remaining late (84 days). Future studies are planned to investigate the tumorigenic potential of Cu-Ni fume in A/J mice. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/248913",
          "downloadURL": "https://data.cdc.gov/download/5b7j-usbu/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/248913",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1041-2022-0",
      "title": "A field-portable colorimetric method for the measurement of peracetic acid vapors: a comparison of glass and plastic impingers (dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1041-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1041-2022-0</a>.\nA method for measuring PAA vapors in air using impinger sampling and field-portable colorimetric analysis is presented. The capture efficiency of aqueous media in glass and plastic impingers was evaluated when used for PAA vapor sampling. Measurement of PAA was done using a N,N-diethyl-p-phenylenediamine (DPD) colorimetric method with a field portable spectrometer. The linearity of the DPD method was determined for PAA both in-solution and captured from vapor phase using glass or plastic impingers. The Limit of Detection (LOD) for the glass and plastic impinger (0.24 mg/m3 (0.077 mg/L) and 0.28 mg/m3 (0.091 mg/L)), respectively, and Limit of Quantitation (LOQ) (0.79 mg/m3 (0.25 mg/L) and 0.92 mg/m3 (0.30 mg/L) for the glass and plastic impingers, respectively, are below the threshold limit value (TLV) short term exposure limit (STEL) of 1.24 mg/m3 (0.4 ppm) over a 15 minute period. This impinger method allows for a low cost, easy to use, and rapid in-field measurement for occupational exposure to PAA. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-07-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Colorimetry\nEnvironmental Monitoring\nOccupational Exposure\nOccupational Health\nSafety\nSolvents"
        }
      ],
      "keyword": [
        "Vapors\nColorimetry\nAir sampling\nSampling methods\nImpingers\nOccupational exposure\nQuantitative analysis\nExposure assessment"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Ohio\nOSHA Region 5"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/249474",
        "title": "A field-portable colorimetric method for the measurement of peracetic acid vapors: a comparison of glass and plastic impingers (dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/b6fe-yq88",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/249474",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "A field-portable colorimetric method for the measurement of peracetic acid vapors: a comparison of glass and plastic impingers (dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1041-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1041-2022-0</a>.\nA method for measuring PAA vapors in air using impinger sampling and field-portable colorimetric analysis is presented. The capture efficiency of aqueous media in glass and plastic impingers was evaluated when used for PAA vapor sampling. Measurement of PAA was done using a N,N-diethyl-p-phenylenediamine (DPD) colorimetric method with a field portable spectrometer. The linearity of the DPD method was determined for PAA both in-solution and captured from vapor phase using glass or plastic impingers. The Limit of Detection (LOD) for the glass and plastic impinger (0.24 mg/m3 (0.077 mg/L) and 0.28 mg/m3 (0.091 mg/L)), respectively, and Limit of Quantitation (LOQ) (0.79 mg/m3 (0.25 mg/L) and 0.92 mg/m3 (0.30 mg/L) for the glass and plastic impingers, respectively, are below the threshold limit value (TLV) short term exposure limit (STEL) of 1.24 mg/m3 (0.4 ppm) over a 15 minute period. This impinger method allows for a low cost, easy to use, and rapid in-field measurement for occupational exposure to PAA. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/249474",
          "downloadURL": "https://data.cdc.gov/download/b6fe-yq88/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/249474",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1042-2022-0",
      "title": "Video-based 3D pose estimation for residential roofing (dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1042-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1042-2022-0</a>.\nTo protect residential roofing construction workers from both fatal and musculoskeletal injuries, it is necessary to assess the musculoskeletal and biomechanical risks in residential roofing tasks. This undertaking requires accurate information of workers' 3D body positions to analyze kinematics and kinetics of the human body. In this study, we proposed a novel 2-stage motion estimation approach based on a convolution neural network to estimate residential roofer's body positions using three-view video data. Instead of pursuing end-to- end training, our approach includes two stages: (1) use a multi-view model to estimate the 3D pose in a single frame; (2) use a multi-frame model to apply temporal convolutions to refine the multi-view outputs. The performance of the approach was evaluated by comparing our estimation with the gold-standard marker-based 3D human pose estimation (\"ground truth\"). The evaluation results show that our marker-free video-based approach can accurately capture the 3D posture of workers during the common roofing task and the proposed multi-frame model can effectively improve the precision of the coordinate sequence. The values of mean per joint position error of estimated human position before and after processing by the multi-frame model are 27.93 and 24.81 mm, respectively. These results prove that the proposed marker-free motion capture estimation approach can efficiently and accurately locate 3D body joints and pave the way for future onsite musculoskeletal motion analysis during roofing activities. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Physical Effects Research Branch (PERB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-08-30",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Biomechanical Phenomena\nConstruction Industry\nMusculoskeletal Diseases\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "Roofers\nRoofing industry\nConstruction workers\nMusculoskeletal disorders\nMSD\nBiomechanics\nBody mechanics\nThree dimensional\n3D\nVideo\nMotion studies"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Delaware\nNew Jersey\nOSHA Region 2\nOSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248719",
        "title": "Video-based 3D pose estimation for residential roofing (dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/76u3-26ik",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248719",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Video-based 3D pose estimation for residential roofing (dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1042-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1042-2022-0</a>.\nTo protect residential roofing construction workers from both fatal and musculoskeletal injuries, it is necessary to assess the musculoskeletal and biomechanical risks in residential roofing tasks. This undertaking requires accurate information of workers' 3D body positions to analyze kinematics and kinetics of the human body. In this study, we proposed a novel 2-stage motion estimation approach based on a convolution neural network to estimate residential roofer's body positions using three-view video data. Instead of pursuing end-to- end training, our approach includes two stages: (1) use a multi-view model to estimate the 3D pose in a single frame; (2) use a multi-frame model to apply temporal convolutions to refine the multi-view outputs. The performance of the approach was evaluated by comparing our estimation with the gold-standard marker-based 3D human pose estimation (\"ground truth\"). The evaluation results show that our marker-free video-based approach can accurately capture the 3D posture of workers during the common roofing task and the proposed multi-frame model can effectively improve the precision of the coordinate sequence. The values of mean per joint position error of estimated human position before and after processing by the multi-frame model are 27.93 and 24.81 mm, respectively. These results prove that the proposed marker-free motion capture estimation approach can efficiently and accurately locate 3D body joints and pave the way for future onsite musculoskeletal motion analysis during roofing activities. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/248719",
          "downloadURL": "https://data.cdc.gov/download/76u3-26ik/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/248719",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1043-2022-0",
      "title": "Biological Effects of Inhaled Crude Oil Vapor. II. Automated Oil Vapor Inhalation Exposure System (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1043-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1043-2022-0</a>.\nIn August 2020 there were over 186,000 employees in the oil and gas extraction industry in the United States (United States Department of Labor. Bureau of Labor Statistics, 2020). Many workers in the upstream oil extraction industry have potential risk of crude oil vapor (COV) inhalation. There are many current knowledge gaps regarding the health effects from inhalation of complex mixtures found in crude oil vapors. To aid research in filling these gaps, an automated system that could carefully deliver and control the COV concentration within an animal inhalation exposure chamber was needed. The objective of this project was to develop an automated computer-controlled system to expose small laboratory animals to precise concentrations of crude oil vapor (COV). [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Physical Effects Research Branch (PERB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-09-19",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nOccupational Health\nOil and Gas Industry\nRespiratory System\nSafety\nSoftware\nVolatile Organic Compounds"
        }
      ],
      "keyword": [
        "Oil vapors\nOil industry\nGas industry\nCrude oil\nInhalation\nHealth effects\nAnimal studies\nComputer software\nVolatile organic compounds\nVOCs\nExposure chambers"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/209114",
        "title": "Biological Effects of Inhaled Crude Oil Vapor. II. Automated Oil Vapor Inhalation Exposure System (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/6wqg-8ykc",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/209114",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Biological Effects of Inhaled Crude Oil Vapor. II. Automated Oil Vapor Inhalation Exposure System (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1043-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1043-2022-0</a>.\nIn August 2020 there were over 186,000 employees in the oil and gas extraction industry in the United States (United States Department of Labor. Bureau of Labor Statistics, 2020). Many workers in the upstream oil extraction industry have potential risk of crude oil vapor (COV) inhalation. There are many current knowledge gaps regarding the health effects from inhalation of complex mixtures found in crude oil vapors. To aid research in filling these gaps, an automated system that could carefully deliver and control the COV concentration within an animal inhalation exposure chamber was needed. The objective of this project was to develop an automated computer-controlled system to expose small laboratory animals to precise concentrations of crude oil vapor (COV). [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/209114",
          "downloadURL": "https://data.cdc.gov/download/6wqg-8ykc/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/209114",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1044-2022-0",
      "title": "Evaluation of Pulmonary Effects of 3-D Printer Emissions from Acrylonitrile Butadiene Styrene Using an Air-Liquid Interface Model of Primary Normal Human-Derived Bronchial Epithelial Cells (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1044-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1044-2022-0</a>.\nThis study investigated the inhalation toxicity of the emissions from 3-D printing with acrylonitrile butadiene styrene (ABS) filament using an air-liquid interface (ALI) in vitro model. Primary normal human-derived bronchial epithelial cells (NHBEs) were exposed to ABS filament emissions in an ALI for 4 h. The mean and mode diameters of ABS emitted particles in the medium were 175 +/- 24 nm and 153 +/- 15 nm, respectively. The average particle deposition per surface area of the epithelium was 2.29 × 107 +/- 1.47 × 107 particle/cm2, equivalent to an estimated average particle mass of 0.144 +/- 0.042 µg/cm2. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-09-26",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Butadienes\nCells"
        },
        {
          "@type": "Concept",
          "prefLabel": "Cultured\nCytotoxins\nHazardous Substances\nOccupational Health\nParticulate Matter\nPrinting"
        },
        {
          "@type": "Concept",
          "prefLabel": "Three-Dimensional\nRespiratory System\nSafety\nStyrene"
        }
      ],
      "keyword": [
        "Acrylonitrile\nButadienes\nStyrenes\nInhalation\nToxins\nEmission sources\nThree dimensional printing\n3D printing\nIn vitro study\nParticulates\nCytotoxicity\nCell cultures"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Maryland\nOhio\nOSHA Region 3\nOSHA Region 5\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/209117",
        "title": "Evaluation of Pulmonary Effects of 3-D Printer Emissions from Acrylonitrile Butadiene Styrene Using an Air-Liquid Interface Model of Primary Normal Human-Derived Bronchial Epithelial Cells (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Battelli L\nBowers L\nCoyle J\nFarcas MT\nFriend S\nHammer MA\nHammond; Duane R.\nKashon ML\nMandler W\nMatheson J\nMcKinney W\nOrandle MS\nQi C\nQian Y\nRichardson D\nService S\nStefaniak; Aleksandr B.\nThomas TA\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/mpb9-a9up",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/209117",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Evaluation of Pulmonary Effects of 3-D Printer Emissions from Acrylonitrile Butadiene Styrene Using an Air-Liquid Interface Model of Primary Normal Human-Derived Bronchial Epithelial Cells (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1044-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1044-2022-0</a>.\nThis study investigated the inhalation toxicity of the emissions from 3-D printing with acrylonitrile butadiene styrene (ABS) filament using an air-liquid interface (ALI) in vitro model. Primary normal human-derived bronchial epithelial cells (NHBEs) were exposed to ABS filament emissions in an ALI for 4 h. The mean and mode diameters of ABS emitted particles in the medium were 175 +/- 24 nm and 153 +/- 15 nm, respectively. The average particle deposition per surface area of the epithelium was 2.29 × 107 +/- 1.47 × 107 particle/cm2, equivalent to an estimated average particle mass of 0.144 +/- 0.042 µg/cm2. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/209117",
          "downloadURL": "https://data.cdc.gov/download/mpb9-a9up/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/209117",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1045-2022-0",
      "title": "In Vivo and In Vitro Toxicity of a Stainless-Steel Aerosol Generated During Thermal Spray Coating (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1045-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1045-2022-0</a>.\nThermal spray coating is an industrial process where molten metal is sprayed onto a surface as a protective coat at high velocity. Using acellular, in vitro, and in vivo models, the toxicity of these aerosols was evaluated. An automated electric arc wire thermal spray coating aerosol generator and inhalation exposure system were developed to simulate an occupational exposure in an experimental model. Using the inhalation system, male Sprague-Dawley rats were exposed to stainless steel PMET720 aerosols at 25 mg/m3 x 4 hr/d x 9 d. Lung injury, inflammation, and cytokine alteration were determined. Resolution of the response was assessed by evaluating these parameters at 1, 7, 14 and 28 days after exposure. The aerosols generated were also collected and characterized. Macrophages were exposed to 0 - 200 µg/ml of the collected particles to determine cytotoxicity and screened for known mechanisms of toxicity. Other metal particles similar in composition and morphology, gas metal arc (GMA-SS) and manual metal arc (MMA-SS) stainless steel, were used as particle controls. The influence of pressure used during the process on the toxicity profile of the generated aerosols also was assessed and found to be minimal. The PMET720 thermal spray coating particles exhibited in vitro cytotoxicity and membrane damage only at the highest dose tested. Electron paramagnetic resonance spectroscopy (EPR) showed the PMET720 particles to have oxidative stress potential and caused a dose-dependent increase in intracellular oxidative stress. There also was a dose-dependent increase in NF-kB/AP-1 activity. Treatment with uptake inhibitors showed that the PMET720 particles were internalized via clathrin- and caveolar-mediated endocytosis as wells as actin-dependent pinocytosis/phagocytosis. In most of the cell assays, the two welding fume control particles generated a greater response compared to the PMET720 particles. In vivo, lung damage, inflammation and alteration in cytokines were observed 1 day after inhalation exposure, and this response returned to air control exposure levels by day 7. Alveolar macrophages retained the particulate even after 28 days after exposure. The results suggest that compared to stainless steel welding fumes, the PMET 720 aerosols were less potent, and the animals recovered from the acute pulmonary toxicity induced after 7 days. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-09-27",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nAnimals\nCytotoxins\nOccupational Exposure\nOccupational Health\nRespiratory System\nSafety"
        }
      ],
      "keyword": [
        "Stainless steel\nSpraying equipment\nSprays\nProtective coatings\nAerosols\nIn vitro study\nIn vivo study\nInhalation\nOccupational exposure\nAnimal studies\nCytotoxicity\nCellular effects"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/212608",
        "title": "In Vivo and In Vitro Toxicity of a Stainless-Steel Aerosol Generated During Thermal Spray Coating (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
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      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/re9g-kq7w",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/212608",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "In Vivo and In Vitro Toxicity of a Stainless-Steel Aerosol Generated During Thermal Spray Coating (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1045-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1045-2022-0</a>.\nThermal spray coating is an industrial process where molten metal is sprayed onto a surface as a protective coat at high velocity. Using acellular, in vitro, and in vivo models, the toxicity of these aerosols was evaluated. An automated electric arc wire thermal spray coating aerosol generator and inhalation exposure system were developed to simulate an occupational exposure in an experimental model. Using the inhalation system, male Sprague-Dawley rats were exposed to stainless steel PMET720 aerosols at 25 mg/m3 x 4 hr/d x 9 d. Lung injury, inflammation, and cytokine alteration were determined. Resolution of the response was assessed by evaluating these parameters at 1, 7, 14 and 28 days after exposure. The aerosols generated were also collected and characterized. Macrophages were exposed to 0 - 200 µg/ml of the collected particles to determine cytotoxicity and screened for known mechanisms of toxicity. Other metal particles similar in composition and morphology, gas metal arc (GMA-SS) and manual metal arc (MMA-SS) stainless steel, were used as particle controls. The influence of pressure used during the process on the toxicity profile of the generated aerosols also was assessed and found to be minimal. The PMET720 thermal spray coating particles exhibited in vitro cytotoxicity and membrane damage only at the highest dose tested. Electron paramagnetic resonance spectroscopy (EPR) showed the PMET720 particles to have oxidative stress potential and caused a dose-dependent increase in intracellular oxidative stress. There also was a dose-dependent increase in NF-kB/AP-1 activity. Treatment with uptake inhibitors showed that the PMET720 particles were internalized via clathrin- and caveolar-mediated endocytosis as wells as actin-dependent pinocytosis/phagocytosis. In most of the cell assays, the two welding fume control particles generated a greater response compared to the PMET720 particles. In vivo, lung damage, inflammation and alteration in cytokines were observed 1 day after inhalation exposure, and this response returned to air control exposure levels by day 7. Alveolar macrophages retained the particulate even after 28 days after exposure. The results suggest that compared to stainless steel welding fumes, the PMET 720 aerosols were less potent, and the animals recovered from the acute pulmonary toxicity induced after 7 days. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/212608",
          "downloadURL": "https://data.cdc.gov/download/re9g-kq7w/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/212608",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1046-2022-0",
      "title": "Effects of Whole-Body Vibration on Reproductive Physiology in a Rat Model (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1046-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1046-2022-0</a>.\nWorkers in a number of sectors including Transportation, Warehousing and Utilities, Construction, Agriculture, Forestry and Fisheries and Mining are regularly exposed to whole-body vibration (WBV) while driving large transportation or earth moving vehicles or while using large vibrating tools such as chain saws or rock drills. Exposure to WBV has been associated with an increased risk for neck and back pain. However, the findings of other studies have suggested that occupational exposure to WBV may also serve as a risk factor for the development of a number of diseases such as cardiovascular disease and cancer. In addition, it may result in pre-term births and preclampsia in women and interfere with normal reproductive physiology in both men and women. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2022-11-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nOccupational Exposure\nOccupational Health\nPregnancy\nSafety\nTransportation\nUrogenital System\nVibration"
        }
      ],
      "keyword": [
        "Whole body vibration\nOccupational exposure\nAnimal studies\nTransportation workers\nReproductive effects\nPhysiological effects\nPregnancy\nHormone activity\nEndocrine function"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/212625",
        "title": "Effects of Whole-Body Vibration on Reproductive Physiology in a Rat Model (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/v6bq-c4f3",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/212625",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Effects of Whole-Body Vibration on Reproductive Physiology in a Rat Model (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1046-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1046-2022-0</a>.\nWorkers in a number of sectors including Transportation, Warehousing and Utilities, Construction, Agriculture, Forestry and Fisheries and Mining are regularly exposed to whole-body vibration (WBV) while driving large transportation or earth moving vehicles or while using large vibrating tools such as chain saws or rock drills. Exposure to WBV has been associated with an increased risk for neck and back pain. However, the findings of other studies have suggested that occupational exposure to WBV may also serve as a risk factor for the development of a number of diseases such as cardiovascular disease and cancer. In addition, it may result in pre-term births and preclampsia in women and interfere with normal reproductive physiology in both men and women. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/212625",
          "downloadURL": "https://data.cdc.gov/download/v6bq-c4f3/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/212625",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1047-2022-0",
      "title": "Interleukin-11 Receptor Subunit Alpha-1 Is Required for Maximal Airway Responsiveness to Methacholine After Acute Exposure to Ozone (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1047-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1047-2022-0</a>.\nInterleukin (IL)-11, a pleiotropic, cationic cytokine, contributes to numerous biological processes, including adipogenesis, hematopoiesis, and inflammation. Asthma, a chronic respiratory disease, is notably characterized by reversible airway obstruction, persistent lung inflammation, and airway hyperresponsiveness (AHR). Nasal insufflation of IL-11 causes AHR in wild-type mice while lung inflammation induced by antigen sensitization and challenge, which mimics features of atopic asthma in humans, is attenuated in mice genetically deficient in IL-11 receptor subunit alpha-1 (IL-11Ra1-deficient mice), a transmembrane receptor that is required along with glycoprotein 130 to transduce IL-11 intracellular signaling. Nevertheless, the contribution of IL-11Ra1 to the manifestation of phenotypic features of non-atopic asthma are not presently known. Thus, based on the aforementioned observations, we hypothesized that genetic deficiency of IL-11Ra1 would attenuate lung inflammation and increases in airway responsiveness following acute inhalation exposure to ozone, a criteria pollutant and non-atopic asthma stimulus. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-02-10",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nAsthma\nAsthma"
        },
        {
          "@type": "Concept",
          "prefLabel": "Occupational\nImmune System\nLung\nOccupational Health\nOzone\nRespiratory System\nRespiratory Tract Diseases\nSafety"
        }
      ],
      "keyword": [
        "Asthma\nRespiratory diseases\nImmune reaction\nCytokines\nCellular effects\nInhalation studies\nAnimal studies\nLung irritants\nOzone\nGenetic factors\nCell signaling"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/212671",
        "title": "Interleukin-11 Receptor Subunit Alpha-1 Is Required for Maximal Airway Responsiveness to Methacholine After Acute Exposure to Ozone (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/ef89-9ik2",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/212671",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Interleukin-11 Receptor Subunit Alpha-1 Is Required for Maximal Airway Responsiveness to Methacholine After Acute Exposure to Ozone (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1047-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1047-2022-0</a>.\nInterleukin (IL)-11, a pleiotropic, cationic cytokine, contributes to numerous biological processes, including adipogenesis, hematopoiesis, and inflammation. Asthma, a chronic respiratory disease, is notably characterized by reversible airway obstruction, persistent lung inflammation, and airway hyperresponsiveness (AHR). Nasal insufflation of IL-11 causes AHR in wild-type mice while lung inflammation induced by antigen sensitization and challenge, which mimics features of atopic asthma in humans, is attenuated in mice genetically deficient in IL-11 receptor subunit alpha-1 (IL-11Ra1-deficient mice), a transmembrane receptor that is required along with glycoprotein 130 to transduce IL-11 intracellular signaling. Nevertheless, the contribution of IL-11Ra1 to the manifestation of phenotypic features of non-atopic asthma are not presently known. Thus, based on the aforementioned observations, we hypothesized that genetic deficiency of IL-11Ra1 would attenuate lung inflammation and increases in airway responsiveness following acute inhalation exposure to ozone, a criteria pollutant and non-atopic asthma stimulus. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/212671",
          "downloadURL": "https://data.cdc.gov/download/ef89-9ik2/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/212671",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1048-2022-0",
      "title": "Elevated Muscle Mass Accompanied by Transcriptional and Nuclear Alterations Several Months Following Cessation of Resistance-Type Training in Rats (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1048-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1048-2022-0</a>.\nLoading-induced hypertrophy with transcriptional upregulation has been observed concomitant with nuclei accretion in various studies regarding both humans and rodents. Bruusgaard et al. in 2010 pioneered work utilizing a model of synergist ablation to cause hypertrophy followed by denervation-induced atrophy to demonstrate that load-induced gains in myonuclei could be long-lasting after the termination of such exposure. This finding was consistent with the idea of enduring myonuclear accretion as a form of \"muscle memory\" allowing enhanced muscle adaptation following a period of detraining. Subsequent research groups further investigated this possibility in the context of exercise utilizing rodents and various loaded exercise paradigms such as weighted wheel running and ladder climbing. This research yielded a spectrum of results. While these studies were instrumental in highlighting the variation in outcomes possible following load-induced hypertrophy in general, they were limited in their direct relatedness to resistance training - the predominate form of exposure utilized to induce hypertrophy. Our research group has established and repeatedly validated a rat research model to investigate resistance-type training. The model is based on using a dynamometer to precisely expose dorsiflexor muscles of rats to 8 sets of 10 repetitions (per set) of stretch-shortening contractions (SSCs) - a consecutive sequence of isometric, lengthening, and shortening contractions. Training with this exposure 3 sessions per week for one month results in increases in muscle mass and performance. This is accompanied by an increase in muscle fiber area accompanied by a proportional increase in myonuclei number and a rise in overall transcriptional output as measured by total RNA levels. The purpose of the present study was to determine to what extent alterations in performance, muscle mass, nuclei number, and transcriptional output persist several months following the termination of this relevant and valid model of resistance-type training. [Description provided by NIOSH]",
      "contactPoint": [
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      "issued": "2022-10-25",
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          "title": "Elevated Muscle Mass Accompanied by Transcriptional and Nuclear Alterations Several Months Following Cessation of Resistance-Type Training in Rats (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1048-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1048-2022-0</a>.\nLoading-induced hypertrophy with transcriptional upregulation has been observed concomitant with nuclei accretion in various studies regarding both humans and rodents. Bruusgaard et al. in 2010 pioneered work utilizing a model of synergist ablation to cause hypertrophy followed by denervation-induced atrophy to demonstrate that load-induced gains in myonuclei could be long-lasting after the termination of such exposure. This finding was consistent with the idea of enduring myonuclear accretion as a form of \"muscle memory\" allowing enhanced muscle adaptation following a period of detraining. Subsequent research groups further investigated this possibility in the context of exercise utilizing rodents and various loaded exercise paradigms such as weighted wheel running and ladder climbing. This research yielded a spectrum of results. While these studies were instrumental in highlighting the variation in outcomes possible following load-induced hypertrophy in general, they were limited in their direct relatedness to resistance training - the predominate form of exposure utilized to induce hypertrophy. Our research group has established and repeatedly validated a rat research model to investigate resistance-type training. The model is based on using a dynamometer to precisely expose dorsiflexor muscles of rats to 8 sets of 10 repetitions (per set) of stretch-shortening contractions (SSCs) - a consecutive sequence of isometric, lengthening, and shortening contractions. Training with this exposure 3 sessions per week for one month results in increases in muscle mass and performance. This is accompanied by an increase in muscle fiber area accompanied by a proportional increase in myonuclei number and a rise in overall transcriptional output as measured by total RNA levels. The purpose of the present study was to determine to what extent alterations in performance, muscle mass, nuclei number, and transcriptional output persist several months following the termination of this relevant and valid model of resistance-type training. [Description provided by NIOSH]",
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      "identifier": "https://doi.org/10.26616/NIOSHRD-1049-2022-0",
      "title": "Evaluation of Propylene Glycol Methyl Ether as a Potential Challenge Agent for Leak Detection of Liquid and Headspace from Closed System Drug Transfer Devices Using Fourier Transform Infrared Spectroscopy (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1049-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1049-2022-0</a>.\nMeasurement of vapors from solutions containing propylene glycol methyl ether (PGME) released inside a closed chamber were evaluated. Data used to quantify limits of detection, limits of quantification, bias, precision, and accuracy of Fourier Transform Infrared Spectroscopy (FTIR) measurements of vapors from 2.5 M PGME solutions are presented. The effects of ethanol as a component of the PGME solution were also evaluated. Liquid drops of PGME solutions and headspace vapors above PGME solutions were released to simulate leaks from Closed System Drug-Transfer Devices (CSTD)s. Using a calibration apparatus, an instrumental LOD of 0.25 ppmv and a LOQ of 0.8 ppmv were determined for PGME vapor. A LOD of 1.1 µL and a LOQ of 3.5 µL was determined for liquid aliquots of 2.5 M PGME solution released in the NIOSH chamber. Accurate quantitation of liquid leaks required complete evaporation of droplets. With the upper end of the usable quantitation range limited by slow evaporation of relatively large droplets and the lower end defined by the method LOQ, the method has a narrow quantitative range for liquid droplets. Displacement of 45 mL of vial headspace containing PGME vapor is the largest amount expected when using the draft NIOSH testing protocol. Release of an unfiltered 45 mL headspace aliquot within the NIOSH chamber was calculated to produce a concentration of 0.8 ppmv based on the Henry's constant, which is right at the instrumental LOQ. Therefore, the sensitivity of the method was not adequate to determine leaks of PGME vapor from a headspace release through an air filtering CSTD when using the draft NIOSH testing protocols with an FTIR analyzer. [Description provided by NIOSH]",
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      "issued": "2022-11-02",
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      ],
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      ],
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          "prefLabel": "Ohio\nOSHA Region 5"
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          "title": "Evaluation of Propylene Glycol Methyl Ether as a Potential Challenge Agent for Leak Detection of Liquid and Headspace from Closed System Drug Transfer Devices Using Fourier Transform Infrared Spectroscopy (Dataset)",
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      "title": "Feasibility of a Selective Epoxidation Technique for Use in Quantification of Peracetic Acid in Air Samples Collected on Sorbent Tubes (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1050-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1050-2022-0</a>.\nThe occupational exposure risk to peracetic acid (PAA), a common disinfectant and sterilant use in industrial settings like healthcare facilities and meat processing plants, is typically assessed through collection and analysis of atmospheric workplace samples. In this study, a new personal sampling technique was developed for determining the atmospheric concentration of PAA in the workplace. Samples of humidified air containing peracetic acid (concentration range: 25-2000 ppb) were collected on 350-mg XAD-7 solid sorbent tubes to adsorb the analyte. Peracetic acid was desorbed using anhydrous acetonitrile, after which it was treated with excess cyclohexene to generate the corresponding epoxide via the Prilezhaev reaction. The epoxide product was analyzed and quantified using gas chromatography-mass spectrometry, indirectly determining the amount of peracetic acid in the original air sample. The specificity for peracetic acid over other contaminants was assessed through a series of hydrogen peroxide (HP) and acetic acid (AA) spiking experiments, in which selectivity for PAA was demonstrated at several different concentrations of both HP and AA. The limit-of-detection (LOD) and the limit-of-quantitation (LOQ) for this method was determined to be 60 ppb and 198 ppb, respectively. Unlike many other methods, the sorbent tube negates the need for solvent in the sampling apparatus, adding to its ease of use. These features as well as inexpensive materials and the use of small, wearable vacuum pumps could allow for implementation of easier personal sampling in the workplace. [Description provided by NIOSH]",
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      "issued": "2022-12-28",
      "theme": [
        {
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        "accessURL": "https://stacks.cdc.gov/view/cdc/231117",
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      "creator": {
        "@type": "Agent",
        "name": "Baughman N\nHam J\nJackson; J. Scott\nWalsh C\nWells R\nNational Institute for Occupational Safety and Health"
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          "title": "Feasibility of a Selective Epoxidation Technique for Use in Quantification of Peracetic Acid in Air Samples Collected on Sorbent Tubes (Dataset)",
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      "title": "Biological Effects of Inhaled Crude Oil Vapor VI. Altered Biogenic Amine Neurotransmitters and Neural Protein Expression (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1051-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1051-2022-0</a>.\nIn the oil and gas industry, workers are potentially exposed to crude oil or crude oil vapor (COV) during upstream (drilling and extraction), midstream (transportation and storage), as well as downstream (refining) activities. Worker exposure to various fractions of crude oil have been linked to mortality, as well as musculoskeletal, respiratory, gastrointestinal, circulatory problems, and cancer. During the Gulf of Mexico Deepwater Horizon (DWH) oil spill, response workers were exposed to a variety of chemical hazards including volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs), heavy metals, as well as components of the oil dispersants employed to disperse the oil. The Gulf Long-term Follow-up (GuLF) STUDY had reported that workers involved in the cleanup operations experienced adverse hematologic, pulmonary, hepatic, and cardiac problems. However, long-term neurological effects remain unknown. Health Hazard Evaluation (HHE) surveys conducted by NIOSH among the cleanup workers identified a variety of health effects, including neurological symptoms. Unfortunately, as a significant number of response workers who experienced health symptoms were exposed to both crude oil and the oil dispersant that was aerially sprayed to the contain the spill, the health effects of crude oil exposures alone were difficult to discern from these surveys. It is here that laboratory-based studies are advantageous as they can provide ample health risk information to establish the toxicological potential of the various chemical hazards at the workplace. To that end, the present work evaluated the neurotoxic risks of COV generated from the Macondo well crude oil that was used as a surrogate for the DWH crude oil. [Description provided by NIOSH]",
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          "title": "Biological Effects of Inhaled Crude Oil Vapor VI. Altered Biogenic Amine Neurotransmitters and Neural Protein Expression (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1051-2022-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1051-2022-0</a>.\nIn the oil and gas industry, workers are potentially exposed to crude oil or crude oil vapor (COV) during upstream (drilling and extraction), midstream (transportation and storage), as well as downstream (refining) activities. Worker exposure to various fractions of crude oil have been linked to mortality, as well as musculoskeletal, respiratory, gastrointestinal, circulatory problems, and cancer. During the Gulf of Mexico Deepwater Horizon (DWH) oil spill, response workers were exposed to a variety of chemical hazards including volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs), heavy metals, as well as components of the oil dispersants employed to disperse the oil. The Gulf Long-term Follow-up (GuLF) STUDY had reported that workers involved in the cleanup operations experienced adverse hematologic, pulmonary, hepatic, and cardiac problems. However, long-term neurological effects remain unknown. Health Hazard Evaluation (HHE) surveys conducted by NIOSH among the cleanup workers identified a variety of health effects, including neurological symptoms. Unfortunately, as a significant number of response workers who experienced health symptoms were exposed to both crude oil and the oil dispersant that was aerially sprayed to the contain the spill, the health effects of crude oil exposures alone were difficult to discern from these surveys. It is here that laboratory-based studies are advantageous as they can provide ample health risk information to establish the toxicological potential of the various chemical hazards at the workplace. To that end, the present work evaluated the neurotoxic risks of COV generated from the Macondo well crude oil that was used as a surrogate for the DWH crude oil. [Description provided by NIOSH]",
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    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1052-2023-0",
      "title": "Constant vs. Cyclic Flow When Testing Face Masks and Respirators as Source Control Devices for Simulated Respiratory Aerosols (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1052-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1052-2023-0</a>.\nSARS-CoV-2 spreads by infectious aerosols and droplets expelled from the respiratory tract. Masks and respirators can reduce the transmission of infectious respiratory diseases like SARS-CoV-2 by blocking these aerosols and droplets at the source. The ability of source control devices to block aerosols can be tested by expelling an aerosol through a headform wearing the device. These tests may be performed using constant airflows, which are simpler, or cyclic airflows, which are more realistic but require more complex methods. The purpose of these experiments was to compare the results found using constant vs. cyclic airflows. A source control measurement system was used to measure the efficacy of two cloth face masks, two medical masks with and without an elastic mask brace, a neck gaiter, and an N95 respirator as source control devices for simulated respiratory aerosols. With this system, the aerosol flows from the inside of the mask toward the outside; that is, the aerosol flows in the same direction as it would flow during an exhalation by a person wearing the source control device. The experiments were conducted under four airflow conditions: cyclic breathing at 15 liters/minute (L/min), cyclic breathing at 85 L/min, constant outward airflow at 15 L/min, and constant outward airflow at 85 L/min. Each experiment began by placing the source control device on the headform and performing a fit test. The measurement system collection chamber was then sealed, and the cyclic or constant airflow and the aerosol generation were initiated. The aerosol concentration in the collection chamber was measured using an optical particle spectrometer (OPS). The source control collection efficiency was determined by comparing the steady-state concentration of aerosol particles in the collection chamber when the source control device was worn with the concentration when no source control device was used. [Description provided by NIOSH]",
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      "issued": "2023-01-24",
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        }
      ],
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        "SARS-CoV-2\nCoronavirus\nCOVID-19\nAerosols\nRespirators\nFace masks\nAirflow\nRespirator testing\nFit testing\nAerosol particles\nInfectious diseases\nPersonal protective equipment\nPPE"
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        "name": "Beezhold; Donald H.\nBlachere; Francoise M.\nBoots T\nBoutin B\nDerk RC\nDuling; Matthew G.\nLindsley; William G.\nNoti JD\nNational Institute for Occupational Safety and Health"
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      "title": "Β-Defensin-1 Regulates Influenza Virus Infection in Human Bronchial Epithelial Cells Through the STAT3 Signaling Pathway (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1053-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1053-2023-0</a>.\nUnderstanding the host response to influenza A virus (IAV) infection is vital for developing intervention strategies. The primary barriers for invading respiratory pathogens are the airway epithelial cells of the respiratory tract and antimicrobial peptides produced by these cells. The antimicrobial peptide, ß-defensin-1, has antiviral activity against both enveloped and non-enveloped viruses. Significant downregulation of ß-defensin1 gene (DEFB1) expression was observed when human bronchial epithelial cells (HBEpCs) were exposed to IAV. HBEpCs overexpressing DEFB1 caused a significant reduction in IAV, that was confirmed by IAV matrix gene analysis and confocal microscopy. DEFB1expression after transfection with hsa-miR-186-5p and hsa-miR-340-5p provided evidence that DEFB1 expression could be modulated by these two miRNAs and hsa-miR-186-5p had a higher binding efficiency with DEFB1. Overexpression of DEFB1 in IAV infected HBEpCs led to increased NF-kB expression. In a Polymerase Chain Reaction (PCR) array analysis of 84 transcription factors, either overexpressing DEFB1 or siRNA silencing of DEFB1 expression significantly modulated the expression of STAT3. In addition, Ingenuity Pathway Analysis (IPA) integrated with PCR array data showed that the JAK1/STAT3 pathway was significantly altered by cells overexpressing DEFB1, suggesting that this may be one of the pathways by which defensin regulates IAV replication in HBEpCs. In conclusion, the reduction in IAV copy number in DEFB1 overexpressing cells suggests that ß-defensin-1 plays a key role in regulating IAV survival through STAT3 and is a potential target for antiviral drug development. [Description provided by NIOSH]",
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          "@type": "Concept",
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      ],
      "keyword": [
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          "title": "Β-Defensin-1 Regulates Influenza Virus Infection in Human Bronchial Epithelial Cells Through the STAT3 Signaling Pathway (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1053-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1053-2023-0</a>.\nUnderstanding the host response to influenza A virus (IAV) infection is vital for developing intervention strategies. The primary barriers for invading respiratory pathogens are the airway epithelial cells of the respiratory tract and antimicrobial peptides produced by these cells. The antimicrobial peptide, ß-defensin-1, has antiviral activity against both enveloped and non-enveloped viruses. Significant downregulation of ß-defensin1 gene (DEFB1) expression was observed when human bronchial epithelial cells (HBEpCs) were exposed to IAV. HBEpCs overexpressing DEFB1 caused a significant reduction in IAV, that was confirmed by IAV matrix gene analysis and confocal microscopy. DEFB1expression after transfection with hsa-miR-186-5p and hsa-miR-340-5p provided evidence that DEFB1 expression could be modulated by these two miRNAs and hsa-miR-186-5p had a higher binding efficiency with DEFB1. Overexpression of DEFB1 in IAV infected HBEpCs led to increased NF-kB expression. In a Polymerase Chain Reaction (PCR) array analysis of 84 transcription factors, either overexpressing DEFB1 or siRNA silencing of DEFB1 expression significantly modulated the expression of STAT3. In addition, Ingenuity Pathway Analysis (IPA) integrated with PCR array data showed that the JAK1/STAT3 pathway was significantly altered by cells overexpressing DEFB1, suggesting that this may be one of the pathways by which defensin regulates IAV replication in HBEpCs. In conclusion, the reduction in IAV copy number in DEFB1 overexpressing cells suggests that ß-defensin-1 plays a key role in regulating IAV survival through STAT3 and is a potential target for antiviral drug development. [Description provided by NIOSH]",
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      "title": "Exposure to the Antimicrobial Chemical Triclosan Disrupts Keratinocyte Function and Skin Integrity in a Model of Reconstructed Human Epidermis (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1054-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1054-2023-0</a>.\nTriclosan is an antimicrobial chemical incorporated into products that are applied to the skin of healthcare workers. Exposure to triclosan has previously been shown to be immunomodulatory and associated with allergic disease. Additionally, we have shown that exposure to triclosan dermally activates the NLRP3 inflammasome and disrupts the skin barrier integrity in mice. The skin is the largest organ in the body and plays an important role as a physical barrier and regulator of the immune system. Alterations in the barrier and immune regulatory functions of the skin have been demonstrated to increase the risk of sensitization and development of allergic disease. In this study, the impact of triclosan exposure on the skin barrier and keratinocyte function was investigated using a model of reconstructed human epidermis. The apical surface of reconstructed human epidermis was exposed to triclosan once for 6, 24, or 48 hours or daily for 5 consecutive days. [Description provided by NIOSH]",
      "contactPoint": [
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      "issued": "2023-01-31",
      "theme": [
        {
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          "prefLabel": "Hypersensitivity\nImmune System\nOccupational Health\nSafety\nSkin"
        }
      ],
      "keyword": [
        "Antimicrobials\nSkin irritants\nAllergic reactions\nAllergies\nImmune reaction\nImmune system\nSensitization\nCytokines\nGene expression\nImmunological tests"
      ],
      "spatial": [
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        "title": "Exposure to the Antimicrobial Chemical Triclosan Disrupts Keratinocyte Function and Skin Integrity in a Model of Reconstructed Human Epidermis (Dataset)"
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      ],
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        "name": "National Institute for Occupational Safety and Health"
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          "title": "Exposure to the Antimicrobial Chemical Triclosan Disrupts Keratinocyte Function and Skin Integrity in a Model of Reconstructed Human Epidermis (Dataset)",
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      "identifier": "https://doi.org/10.26616/NIOSHRD-1055-2023-0",
      "title": "Lung Toxicity and Gene Expression Changes in Response to Whole-Body Inhalation Exposure to Cellulose Nanocrystal in Rats (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1055-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1055-2023-0</a>.\nNanomaterials represent a new class of materials with numerous industrial applications. Considering the projected increase in the production and use of nanomaterials, a corresponding increase in occupational exposure to nanomaterials and their resulting adverse health effects should be anticipated among workers. There is substantial evidence in the literature, based on cell culture and animal studies, supporting the potential toxicity and detrimental health effects associated with exposure to nanomaterials. Intervention and/or prevention of adverse health effects associated with occupational exposure to toxic nanomaterials will be a major concern for health providers and regulatory and non-regulatory government agencies as the use of nanomaterials expand. A key element in the intervention and/or prevention of the adverse health effects associated with occupational exposure to toxic nanomaterials is a clear understanding of the molecular mechanisms underlying the pulmonary toxicity induced by nanomaterials. Due to its physicochemical and mechanical properties, nanocellulose has found many applications in manufactured goods in the paper and food industry, cosmetics, biomedicine, and pharmaceuticals. There is potential for human exposure to nanocellulose or products that contain nanocellulose both during the production and use of the materials that contain nanocellulose. The objectives of the current study were to determine lung toxicity potential of crystalline nanocellulose (CNC) and the molecular mechanisms underlying the toxicity. A rat inhalation exposure model was employed to determine the lung toxicity potential of CNC. Global gene expression profile in the lung and bioinformatic analysis of the gene expression data were conducted to determine the molecular mechanisms underlying the CNC-induced lung toxicity. [Description provided by NIOSH]",
      "contactPoint": [
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          "@type": "Kind",
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      "accessRights": "public",
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      ],
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        "@type": "Agent",
        "name": "Joseph P\nMcKinney W\nOrandle M\nRoberts J\nSager T\nUmbright C\nNational Institute for Occupational Safety and Health"
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          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1055-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1055-2023-0</a>.\nNanomaterials represent a new class of materials with numerous industrial applications. Considering the projected increase in the production and use of nanomaterials, a corresponding increase in occupational exposure to nanomaterials and their resulting adverse health effects should be anticipated among workers. There is substantial evidence in the literature, based on cell culture and animal studies, supporting the potential toxicity and detrimental health effects associated with exposure to nanomaterials. Intervention and/or prevention of adverse health effects associated with occupational exposure to toxic nanomaterials will be a major concern for health providers and regulatory and non-regulatory government agencies as the use of nanomaterials expand. A key element in the intervention and/or prevention of the adverse health effects associated with occupational exposure to toxic nanomaterials is a clear understanding of the molecular mechanisms underlying the pulmonary toxicity induced by nanomaterials. Due to its physicochemical and mechanical properties, nanocellulose has found many applications in manufactured goods in the paper and food industry, cosmetics, biomedicine, and pharmaceuticals. There is potential for human exposure to nanocellulose or products that contain nanocellulose both during the production and use of the materials that contain nanocellulose. The objectives of the current study were to determine lung toxicity potential of crystalline nanocellulose (CNC) and the molecular mechanisms underlying the toxicity. A rat inhalation exposure model was employed to determine the lung toxicity potential of CNC. Global gene expression profile in the lung and bioinformatic analysis of the gene expression data were conducted to determine the molecular mechanisms underlying the CNC-induced lung toxicity. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/231190",
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      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1056-2023-0",
      "title": "Biological Effects of Inhaled Crude Oil Vapor. III. Pulmonary Effects (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1056-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1056-2023-0</a>.\nWorkers involved in oil exploration and production in the upstream petroleum industry are exposed to crude oil vapor (COV). COV levels in the proximity of workers during production tank gauging and opening of thief hatches can exceed regulatory standards, and several deaths have occurred after opening thief hatches. There is a paucity of information regarding the effects of COV inhalation in the lung. To address these knowledge gaps, the present hazard identification study was one of six undertaken to investigate the effects of inhaled COV in a rat animal model. General description of data collection methods: This was a laboratory-based investigation that utilized a rat model to study the effects of inhaled COV. Control animals breathed filtered air and were otherwise treated identically. Measurements were made in vivo during anesthesia following suitable instrumentation of animals or following removal of tissues/organs from euthanized animals in in vitro studies. In the in vivo experiments, data were collected from apparatus used to acquire electronic signals for the measures being taken; these included pulmonary function and reactivity to MCh. Responses were recorded in in vitro experiments via electronic data acquisition from apparatus used to measure responses in isolated, perfused trachea, electric field stimulation, and ion transport experiments. Vascular permeability changes were examined using a spectrophotometer to measure the amount of Evans blue dye released from blood into excised lung tissue. Male rats were exposed by whole-body inhalation of 300 ppm of vapor from crude oil (Macondo well surrogate oil) for a single, acute exposure or for a sub-chronic exposure, and measurements were made 1, 28 and 90 days after conclusion of the exposure. A battery of in vivo and in vitro measurements was made: pulmonary mechanics in vivo, reactivity to inhaled MCh aerosol in vivo, in vitro reactivity of airway smooth muscle to MCh, smooth muscle responses to motor nerve stimulation in vitro, ion transport by airway epithelium in vitro, and vascular permeability of lung blood vessels. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-03-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nBlood\nLung\nOccupational Health\nOil and Gas Industry\nRespiratory System\nSafety"
        }
      ],
      "keyword": [
        "Oil vapors\nOil industry\nGas industry\nCrude oil\nInhalation\nHealth effects\nAnimal studies\nIn vitro studies\nIn vivo studies\nLung tissue\nBlood vessels\nPhysiological effects"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231206",
        "title": "Biological Effects of Inhaled Crude Oil Vapor. III. Pulmonary Effects (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/aian-amjw",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231206",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Biological Effects of Inhaled Crude Oil Vapor. III. Pulmonary Effects (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1056-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1056-2023-0</a>.\nWorkers involved in oil exploration and production in the upstream petroleum industry are exposed to crude oil vapor (COV). COV levels in the proximity of workers during production tank gauging and opening of thief hatches can exceed regulatory standards, and several deaths have occurred after opening thief hatches. There is a paucity of information regarding the effects of COV inhalation in the lung. To address these knowledge gaps, the present hazard identification study was one of six undertaken to investigate the effects of inhaled COV in a rat animal model. General description of data collection methods: This was a laboratory-based investigation that utilized a rat model to study the effects of inhaled COV. Control animals breathed filtered air and were otherwise treated identically. Measurements were made in vivo during anesthesia following suitable instrumentation of animals or following removal of tissues/organs from euthanized animals in in vitro studies. In the in vivo experiments, data were collected from apparatus used to acquire electronic signals for the measures being taken; these included pulmonary function and reactivity to MCh. Responses were recorded in in vitro experiments via electronic data acquisition from apparatus used to measure responses in isolated, perfused trachea, electric field stimulation, and ion transport experiments. Vascular permeability changes were examined using a spectrophotometer to measure the amount of Evans blue dye released from blood into excised lung tissue. Male rats were exposed by whole-body inhalation of 300 ppm of vapor from crude oil (Macondo well surrogate oil) for a single, acute exposure or for a sub-chronic exposure, and measurements were made 1, 28 and 90 days after conclusion of the exposure. A battery of in vivo and in vitro measurements was made: pulmonary mechanics in vivo, reactivity to inhaled MCh aerosol in vivo, in vitro reactivity of airway smooth muscle to MCh, smooth muscle responses to motor nerve stimulation in vitro, ion transport by airway epithelium in vitro, and vascular permeability of lung blood vessels. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/231206",
          "downloadURL": "https://data.cdc.gov/download/aian-amjw/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/231206",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1057-2023-0",
      "title": "Efficacy of Do-It-Yourself Air Filtration Units in Reducing Exposure to Simulated Respiratory Aerosols (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1057-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1057-2023-0</a>.\nOur investigation examined the efficacy of Do-It-Yourself (DIY) air filtration units in reducing recipient exposure to simulated respiratory aerosols within a mock classroom. Seven commercially available box style fans were evaluated using five performance parameters. Two fans with the highest and lowest airflow rates were subsequently evaluated in two DIY unit configurations using either 2.5 or 5 cm deep minimum efficiency reporting value (MERV) 13 filters. DIY air filtration units were tested with the central HVAC system set at 2 air changes/hour (ACH) to represent a classroom with low ventilation. Results of the investigation provide a better understanding of DIY units and their potential to reduce exposure to infectious aerosols that can transmit SARS-CoV-2 and other diseases. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-03-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nCommunicable Diseases\nFiltration\nOccupational Health\nSafety\nVentilation"
        }
      ],
      "keyword": [
        "SARS-CoV-2\nCOVID-19\nAerosols\nAir filters\nAerosol particles\nVentilation\nInfectious diseases\nFiltration"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Ohio\nOSHA Region 3\nOSHA Region 5\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231236",
        "title": "Efficacy of Do-It-Yourself Air Filtration Units in Reducing Exposure to Simulated Respiratory Aerosols (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Beezhold; Donald H.\nBlachere; Francoise M.\nCoyle JP\nDerk RC\nFotta; Steven\nLemons; Angela R.\nLindsley; William G.\nMartin SB Jr.\nMcKinney WG\nMead; Kenneth R.\nNoti JD\nReynolds JS\nService SK\nSinsel EW\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/g7ty-3t6s",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231236",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Efficacy of Do-It-Yourself Air Filtration Units in Reducing Exposure to Simulated Respiratory Aerosols (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1057-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1057-2023-0</a>.\nOur investigation examined the efficacy of Do-It-Yourself (DIY) air filtration units in reducing recipient exposure to simulated respiratory aerosols within a mock classroom. Seven commercially available box style fans were evaluated using five performance parameters. Two fans with the highest and lowest airflow rates were subsequently evaluated in two DIY unit configurations using either 2.5 or 5 cm deep minimum efficiency reporting value (MERV) 13 filters. DIY air filtration units were tested with the central HVAC system set at 2 air changes/hour (ACH) to represent a classroom with low ventilation. Results of the investigation provide a better understanding of DIY units and their potential to reduce exposure to infectious aerosols that can transmit SARS-CoV-2 and other diseases. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/231236",
          "downloadURL": "https://data.cdc.gov/download/g7ty-3t6s/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/231236",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1058-2023-0",
      "title": "NanoSpotTM Collector for Aerosol Sample Collection for Direct Microscopy and Spectroscopy Analysis (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1058-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1058-2023-0</a>.\nWe describe design and characterization of an aerosol NanoSpotTM collector, designed for collection of airborne particles on a microscopy substrate for direct electron microscopy, optical microscopy, and laser spectroscopy analysis. The collector implements a water-based, laminar-flow, condensation growth technique, followed by impaction onto an optical/electron microscopy substrate or a transmission electron microscopy grid for direct analysis. The compact design employs three parallel growth tubes allowing a sampling flow rate of 1.2 L min-1. Each of the three growth tubes consists of three-temperature regions, for controlling the water vapor saturation profile and exit dew point. Following the droplet growth, the three streams merge into one flow and a converging nozzle enhances focusing of the grown droplets into a tight beam, prior to their final impaction on the warm surface of the collection substrate. A miniscule sample deposition area is attained for effective coupling with microscopic and spectroscopic analysis. Experiments were conducted for the acquisition of the size-dependent collection efficiency, the uniformity of the spot deposit, the surface density distribution of the collected particles, and the aerosol concentration effect on the triple-tube NanoSpotTM Collector. Particles as small as 7 nm could be activated and collected on the electron microscopy stub. A spot deposit of approximately 0.7-mm diameter is formed for particles over a broad particle diameter range. The collected particle samples were analyzed using electron microscopy and Raman spectroscopy for the acquisition of the particle spatial distribution, the spot sample uniformity, and the analyte concentration. Finally, the NanoSpotTM collector's analytical measurement sensitivity for laser Raman analysis and the counting statistics for fiber count measurement using optical microscopy were calculated and were compared with those of the conventional aerosol sampling methods. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-03-17",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nEnvironmental Monitoring\nMicrobiology\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "Aerosols\nAerosol particles\nElectron microscopy\nMicroscopic analysis\nNanotechnology\nSampling equipment\nEquipment design\nAir sampling techniques\nAerosol sampling"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Ohio\nOSHA Region 5"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231279",
        "title": "NanoSpotTM Collector for Aerosol Sample Collection for Direct Microscopy and Spectroscopy Analysis (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/b68w-a53h",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231279",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "NanoSpotTM Collector for Aerosol Sample Collection for Direct Microscopy and Spectroscopy Analysis (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1058-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1058-2023-0</a>.\nWe describe design and characterization of an aerosol NanoSpotTM collector, designed for collection of airborne particles on a microscopy substrate for direct electron microscopy, optical microscopy, and laser spectroscopy analysis. The collector implements a water-based, laminar-flow, condensation growth technique, followed by impaction onto an optical/electron microscopy substrate or a transmission electron microscopy grid for direct analysis. The compact design employs three parallel growth tubes allowing a sampling flow rate of 1.2 L min-1. Each of the three growth tubes consists of three-temperature regions, for controlling the water vapor saturation profile and exit dew point. Following the droplet growth, the three streams merge into one flow and a converging nozzle enhances focusing of the grown droplets into a tight beam, prior to their final impaction on the warm surface of the collection substrate. A miniscule sample deposition area is attained for effective coupling with microscopic and spectroscopic analysis. Experiments were conducted for the acquisition of the size-dependent collection efficiency, the uniformity of the spot deposit, the surface density distribution of the collected particles, and the aerosol concentration effect on the triple-tube NanoSpotTM Collector. Particles as small as 7 nm could be activated and collected on the electron microscopy stub. A spot deposit of approximately 0.7-mm diameter is formed for particles over a broad particle diameter range. The collected particle samples were analyzed using electron microscopy and Raman spectroscopy for the acquisition of the particle spatial distribution, the spot sample uniformity, and the analyte concentration. Finally, the NanoSpotTM collector's analytical measurement sensitivity for laser Raman analysis and the counting statistics for fiber count measurement using optical microscopy were calculated and were compared with those of the conventional aerosol sampling methods. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/231279",
          "downloadURL": "https://data.cdc.gov/download/b68w-a53h/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/231279",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1059-2023-0",
      "title": "Correlation Between Graphitic Carbon and Elemental Carbon in Diesel Particulate Matter in Workplace Atmospheres (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1059-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1059-2023-0</a>.\nWe investigated the suitability of graphitic carbon (GC) content of diesel particulate matter (DPM), measured using Raman spectroscopy, as a surrogate measure of elemental carbon (EC), determined by thermal optical analysis. Raman spectra in the range of 800-1800 cm-1 (including the D mode at approx. 1322 cm-1 and the G mode at approx. 1595 cm-1) were used for GC identification and quantification. Raman spectra for two certified DPM standards (SRM 1650 and SRM 2975), two types of diesel engine exhaust soot, and three types of DPM-enriched workplace aerosols were obtained. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Chemical and Biological Monitoring Branch (CBMB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-03-17",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nOccupational Exposure\nOccupational Health\nParticulate Matter\nSafety"
        }
      ],
      "keyword": [
        "Diesel exhaust\nParticulates\nCarbon\nParticulate sampling methods\nExposure assessment\nSpectroscopes\nAerosols\nOccupational exposure\nEmission sources"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Ohio\nOSHA Region 5"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231280",
        "title": "Correlation Between Graphitic Carbon and Elemental Carbon in Diesel Particulate Matter in Workplace Atmospheres (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/cuyd-c53m",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231280",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Correlation Between Graphitic Carbon and Elemental Carbon in Diesel Particulate Matter in Workplace Atmospheres (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1059-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1059-2023-0</a>.\nWe investigated the suitability of graphitic carbon (GC) content of diesel particulate matter (DPM), measured using Raman spectroscopy, as a surrogate measure of elemental carbon (EC), determined by thermal optical analysis. Raman spectra in the range of 800-1800 cm-1 (including the D mode at approx. 1322 cm-1 and the G mode at approx. 1595 cm-1) were used for GC identification and quantification. Raman spectra for two certified DPM standards (SRM 1650 and SRM 2975), two types of diesel engine exhaust soot, and three types of DPM-enriched workplace aerosols were obtained. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/231280",
          "downloadURL": "https://data.cdc.gov/download/cuyd-c53m/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/231280",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1060-2023-0",
      "title": "Exposure to the Immunomodulatory Chemical Triclosan Differentially Impacts Immune Cell Populations in the Skin of Haired (BALB/C) and Hairless (SKH1) Mice (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1060-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1060-2023-0</a>.\nWorkers across every occupational sector have the potential to be exposed to a wide variety of chemicals, and the skin is a primary route of exposure. Furthermore, exposure to certain chemicals has been linked to inflammatory and allergic diseases. Thus, understanding the immune responses to chemical exposures on the skin and the potential for inflammation and sensitization is needed to improve worker safety and health. Responses in the skin microenvironment impact the potential for sensitization and these responses may include the presence of proinflammatory cytokines, inflammasome activation, barrier integrity, skin microbiota, and the presence of immune cells. Selection of mouse strain to evaluate skin effects, such as haired (BALB/c) or hairless (SKH1) mice, varies dependent on the experimental design and needs of a study. However, dermal chemical exposure may impact reactions in the skin differently depending on the strain of mouse. Additionally, there is a need for established methods to evaluate immune responses in the skin. In this study, exposure to the immunomodulatory chemical triclosan was evaluated in two mouse models using immunophenotyping by flow cytometry and gene expression analysis. The flow cytometry panel reported in this manuscript in combination with gene expression analysis may be used in future studies to better evaluate the effect of chemical exposures on the skin immune response. These findings may be important to consider during strain selection, experimental design, and result interpretation of chemical exposures on the skin. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-03-31",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nHypersensitivity\nImmune System\nOccupational Health\nSafety\nSkin"
        }
      ],
      "keyword": [
        "Chemicals\nSkin exposure\nImmune reaction\nAllergies\nSensitization\nAnimal studies\nDermal exposures\nCytokines"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231322",
        "title": "Exposure to the Immunomodulatory Chemical Triclosan Differentially Impacts Immune Cell Populations in the Skin of Haired (BALB/C) and Hairless (SKH1) Mice (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/wepx-mhy6",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231322",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Exposure to the Immunomodulatory Chemical Triclosan Differentially Impacts Immune Cell Populations in the Skin of Haired (BALB/C) and Hairless (SKH1) Mice (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1060-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1060-2023-0</a>.\nWorkers across every occupational sector have the potential to be exposed to a wide variety of chemicals, and the skin is a primary route of exposure. Furthermore, exposure to certain chemicals has been linked to inflammatory and allergic diseases. Thus, understanding the immune responses to chemical exposures on the skin and the potential for inflammation and sensitization is needed to improve worker safety and health. Responses in the skin microenvironment impact the potential for sensitization and these responses may include the presence of proinflammatory cytokines, inflammasome activation, barrier integrity, skin microbiota, and the presence of immune cells. Selection of mouse strain to evaluate skin effects, such as haired (BALB/c) or hairless (SKH1) mice, varies dependent on the experimental design and needs of a study. However, dermal chemical exposure may impact reactions in the skin differently depending on the strain of mouse. Additionally, there is a need for established methods to evaluate immune responses in the skin. In this study, exposure to the immunomodulatory chemical triclosan was evaluated in two mouse models using immunophenotyping by flow cytometry and gene expression analysis. The flow cytometry panel reported in this manuscript in combination with gene expression analysis may be used in future studies to better evaluate the effect of chemical exposures on the skin immune response. These findings may be important to consider during strain selection, experimental design, and result interpretation of chemical exposures on the skin. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/231322",
          "downloadURL": "https://data.cdc.gov/download/wepx-mhy6/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/231322",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1061-2023-0",
      "title": "Persisting Cryptococcus Yeast Species Vishniacozyma victoriae and Cryptococcus neoformans Elicit Unique Airway Inflammation in Mice Following Repeated Exposure (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1061-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1061-2023-0</a>.\nAllergic airway diseases are a growing concern in industrialized nations and can be influenced by fungal exposures. Pathogenic yeast species such as Cryptococcus neoformans are known to exacerbate allergic airway disease. Recent indoor assessments have identified Basidiomycota yeasts, including non-pathogenic species such as Vishniacozyma victoriae (syn. Cryptococcus victoriae), to be prevalent and potentially associated with asthma. However, the pulmonary immune response to repeated V. victoriae exposure was previously unexplored. This study aimed to compare the immunological impact of repeated pulmonary exposure to pathogenic and non-pathogenic Cryptococcus yeasts. Mice were repeatedly exposed to either C. neoformans, V. victoriae, or PBS control, and the immune responses were analyzed by measuring histopathological scores, and quantifications of immune cells in the bronchoalveolar lavage fluid or lung via flow cytometry, and cytokine concentrations in the lung. These findings highlight the importance of in vivo characterizations of exposures to frequently detected fungal organisms. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-03-27",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nAsthma\nAsthma"
        },
        {
          "@type": "Concept",
          "prefLabel": "Occupational\nFungi\nHypersensitivity\nImmune System\nLung\nOccupational Health\nRespiratory System\nRespiratory Tract Diseases\nSafety"
        }
      ],
      "keyword": [
        "Allergic reactions\nRespiratory diseases\nYeasts\nAnimal studies\nAsthma\nPulmonary effects\nImmune reaction\nFungal infections\nFungi\nInhalation studies"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231329",
        "title": "Persisting Cryptococcus Yeast Species Vishniacozyma victoriae and Cryptococcus neoformans Elicit Unique Airway Inflammation in Mice Following Repeated Exposure (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Blackwood CB\nCroston TL\nGreen; Brett J.\nLemons; Angela R.\nRush RE\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/cygf-tgyd",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231329",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Persisting Cryptococcus Yeast Species Vishniacozyma victoriae and Cryptococcus neoformans Elicit Unique Airway Inflammation in Mice Following Repeated Exposure (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1061-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1061-2023-0</a>.\nAllergic airway diseases are a growing concern in industrialized nations and can be influenced by fungal exposures. Pathogenic yeast species such as Cryptococcus neoformans are known to exacerbate allergic airway disease. Recent indoor assessments have identified Basidiomycota yeasts, including non-pathogenic species such as Vishniacozyma victoriae (syn. Cryptococcus victoriae), to be prevalent and potentially associated with asthma. However, the pulmonary immune response to repeated V. victoriae exposure was previously unexplored. This study aimed to compare the immunological impact of repeated pulmonary exposure to pathogenic and non-pathogenic Cryptococcus yeasts. Mice were repeatedly exposed to either C. neoformans, V. victoriae, or PBS control, and the immune responses were analyzed by measuring histopathological scores, and quantifications of immune cells in the bronchoalveolar lavage fluid or lung via flow cytometry, and cytokine concentrations in the lung. These findings highlight the importance of in vivo characterizations of exposures to frequently detected fungal organisms. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/231329",
          "downloadURL": "https://data.cdc.gov/download/cygf-tgyd/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/231329",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1062-2023-0",
      "title": "Agreement of Hip Kinematics Between Two Tracking Marker Configurations Used with the 1 CODA Pelvis During Ergonomic Roofing Tasks (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1062-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1062-2023-0</a>.\nThe anterior and posterior superior iliac spine markers are commonly used to define the pelvis, and these markers are predisposed to occlusion during three-dimensional motion capture. The occlusion of these markers leads to the use of various tracking marker configurations on the pelvis, which can create differences in kinematic results. The purpose of this investigation was to examine the agreement of CODA pelvis kinematic results when two different tracking marker configurations were used during ergonomic roofing tasks. Three-dimensional motion data was collected on seven male subjects while mimicking a standing and kneeling roofing task. Hip joint angles were computed using the CODA pelvis with two different tracking marker configurations, the Trochanter Tracking Method (TTM), and the Virtual Pelvis Tracking Method (VPTM). [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Physical Effects Research Branch (PERB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-03-31",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Biomechanical Phenomena\nErgonomics\nMusculoskeletal System\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "Ergonomics\nMotion studies\nBiomechanics\nKinesiology\nMusculoskeletal system\nImaging techniques"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Ohio\nOSHA Region 3\nOSHA Region 5\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231361",
        "title": "Agreement of Hip Kinematics Between Two Tracking Marker Configurations Used with the 1 CODA Pelvis During Ergonomic Roofing Tasks (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/j63e-g9bn",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231361",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Agreement of Hip Kinematics Between Two Tracking Marker Configurations Used with the 1 CODA Pelvis During Ergonomic Roofing Tasks (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1062-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1062-2023-0</a>.\nThe anterior and posterior superior iliac spine markers are commonly used to define the pelvis, and these markers are predisposed to occlusion during three-dimensional motion capture. The occlusion of these markers leads to the use of various tracking marker configurations on the pelvis, which can create differences in kinematic results. The purpose of this investigation was to examine the agreement of CODA pelvis kinematic results when two different tracking marker configurations were used during ergonomic roofing tasks. Three-dimensional motion data was collected on seven male subjects while mimicking a standing and kneeling roofing task. Hip joint angles were computed using the CODA pelvis with two different tracking marker configurations, the Trochanter Tracking Method (TTM), and the Virtual Pelvis Tracking Method (VPTM). [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/231361",
          "downloadURL": "https://data.cdc.gov/download/j63e-g9bn/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/231361",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1063-2023-0",
      "title": "Influence of Impurities from Manufacturing Process on the Toxicity Profile of Boron Nitride Nanotubes (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1063-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1063-2023-0</a>.\nThe toxicity of boron nitride nanotubes (BNNTs) is confounded by the various manufacturing and purification strategies employed targeted to remove 30-60% of the residuals and impurities. Four BNNTs manufactured by the induction thermal plasma process allowed us to assess the influence of these residuals/impurities on the toxicity profile of BNNTs by producing a gradient of BNNT purity levels through sequential gas purification, and water and solvent washing, followed by filtration. Extensive characterization including Infrared, x-ray spectroscopy, thermogravimetric analysis, size, charge, surface area and density allowed characterization of the alteration in physicochemical properties as the material went through sequential purification. The material from each step was screened using acellular and in vitro assays that evaluated general toxicity, mechanisms of toxicity and macrophage function. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-04-18",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Blood\nMacrophages\nManufacturing and Industrial Facilities\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "Boron nitride\nNanotubes\nToxic effects\nPhysiological effects\nMacrophages\nPhysiological chemistry\nManufacturing"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231399",
        "title": "Influence of Impurities from Manufacturing Process on the Toxicity Profile of Boron Nitride Nanotubes (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/4u7c-2g4q",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231399",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Influence of Impurities from Manufacturing Process on the Toxicity Profile of Boron Nitride Nanotubes (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1063-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1063-2023-0</a>.\nThe toxicity of boron nitride nanotubes (BNNTs) is confounded by the various manufacturing and purification strategies employed targeted to remove 30-60% of the residuals and impurities. Four BNNTs manufactured by the induction thermal plasma process allowed us to assess the influence of these residuals/impurities on the toxicity profile of BNNTs by producing a gradient of BNNT purity levels through sequential gas purification, and water and solvent washing, followed by filtration. Extensive characterization including Infrared, x-ray spectroscopy, thermogravimetric analysis, size, charge, surface area and density allowed characterization of the alteration in physicochemical properties as the material went through sequential purification. The material from each step was screened using acellular and in vitro assays that evaluated general toxicity, mechanisms of toxicity and macrophage function. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/231399",
          "downloadURL": "https://data.cdc.gov/download/4u7c-2g4q/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/231399",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1064-2023-0",
      "title": "Systemic Toxicity Induced by Topical Application of Perfluoroheptanoic Acid (PFHpA), Perfluorohexanoic Acid (PFHxA), and Perfluoropentanoic Acid (PFPeA) in a Murine Model (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1064-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1064-2023-0</a>.\nPerfluoroheptaoinc acid (PFHpA), perfluorohexanoic aicd (PFHxA), and perfluoropentanoic acid (PFPeA) are synthetic chemicals belonging to the per- and polyfluoroalkyl substances (PFAS) group that includes over 5,000 chemicals. PFHpA, PFHxA, and PFPeA are short-chain PFAS (C7, C6, C5, respectively) that have been labeled as a safer alternative to the legacy PFAS perfluorooctanoic acid (PFOA) and perfluorooctane sulfate (PFOS) which have been linked to numerous health effects. This class of chemicals are incorporated into consumer products such as stain resistant carpeting and textiles, nanosprays, medical devices, and fire-fighting foams. There is a high potential for occupational exposure and in the environment, short-chain PFAS have been detected in a variety of water sources leading to concerns for dermal exposure, however, these studies are lacking. In previous studies from our lab, PFOA was demonstrated to be absorbed via the skin and immunomodulatory. Also, the short-chain PFAS, PFBA, was found to have systemic toxic effects on mice with dermal exposure. In the present study, the systemic toxicity of a 28-day dermal PFHpA, PFHxA, and PFPeA (1.25-5% w/v or v/v, or 31.25-125 mg/kg/dose) exposure was evaluated in a murine model. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-04-25",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nHazardous Substances\nImmune System\nOccupational Exposure\nOccupational Health\nSafety\nSkin"
        }
      ],
      "keyword": [
        "Synthetic materials\nChemicals\nChemical hazards\nOccupational exposure\nDermal exposures\nAnimal studies\nImmune reaction\nToxic effects\nPer- and polyfluoroalkyl substances\nPFAS"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231446",
        "title": "Systemic Toxicity Induced by Topical Application of Perfluoroheptanoic Acid (PFHpA), Perfluorohexanoic Acid (PFHxA), and Perfluoropentanoic Acid (PFPeA) in a Murine Model (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/x7xw-nitb",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231446",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Systemic Toxicity Induced by Topical Application of Perfluoroheptanoic Acid (PFHpA), Perfluorohexanoic Acid (PFHxA), and Perfluoropentanoic Acid (PFPeA) in a Murine Model (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1064-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1064-2023-0</a>.\nPerfluoroheptaoinc acid (PFHpA), perfluorohexanoic aicd (PFHxA), and perfluoropentanoic acid (PFPeA) are synthetic chemicals belonging to the per- and polyfluoroalkyl substances (PFAS) group that includes over 5,000 chemicals. PFHpA, PFHxA, and PFPeA are short-chain PFAS (C7, C6, C5, respectively) that have been labeled as a safer alternative to the legacy PFAS perfluorooctanoic acid (PFOA) and perfluorooctane sulfate (PFOS) which have been linked to numerous health effects. This class of chemicals are incorporated into consumer products such as stain resistant carpeting and textiles, nanosprays, medical devices, and fire-fighting foams. There is a high potential for occupational exposure and in the environment, short-chain PFAS have been detected in a variety of water sources leading to concerns for dermal exposure, however, these studies are lacking. In previous studies from our lab, PFOA was demonstrated to be absorbed via the skin and immunomodulatory. Also, the short-chain PFAS, PFBA, was found to have systemic toxic effects on mice with dermal exposure. In the present study, the systemic toxicity of a 28-day dermal PFHpA, PFHxA, and PFPeA (1.25-5% w/v or v/v, or 31.25-125 mg/kg/dose) exposure was evaluated in a murine model. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/231446",
          "downloadURL": "https://data.cdc.gov/download/x7xw-nitb/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/231446",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1065-2023-0",
      "title": "Examination of the Exposome in an Animal Model: The Impact of High Fat Diet and Rat Strain on Local and Systemic Immune Markers Following Occupational Welding Fume Exposure (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1065-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1065-2023-0</a>.\nThe fundamental goal of this study was to develop an in vivo model of the exposome that could be used to evaluate exposure-induced alterations in local and systemic immune markers as a function of various exposomal factors. Accordingly, the model was designed to mimic an occupationally-relevant scenario in which inhalation of welding fumes (WF) constituted the primary occupational/environmental exposure of interest. Immune endpoints were assessed at three different time points representative of different stages in the exposure/response timeline (before WF exposure, directly after, and following a 12 wk recovery period). Moreover, the potential impact of genetic variation and lifestyle factors on the immune response to WF exposure and subsequent recovery was addressed by incorporating two different rat strains (Sprague-Dawley [SD] and Brown Norway [BN]) and two variations in diet (regular and high fat) into the model. One of the primary objectives of this study was to determine whether consumption of a HF diet is associated with increased immunological responsivity following exposure to a common respiratory toxicant. The study was also executed with the goal of identifying which experimental factor (genetics/strain, diet, occupational exposure) is most influential in the modulation of local and systemic markers of immune status following WF exposure, and subsequently, the efficacy of inflammation resolution. The information obtained from these analyses will help elucidate which exposomic determinants may be particularly relevant in the context of immunotoxicity, and accordingly, warrant special attention in future investigations. The results will also contribute to the development of other in vivo exposome models and direct future efforts related to the exposome and its impact on human health. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-05-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nDiet\nImmune System\nOccupational Health\nRespiratory System\nSafety\nWelding"
        }
      ],
      "keyword": [
        "Animal studies\nImmune reaction\nDietary effects\nDiet\nWelding fumes\nInhalation studies\nImmunology\nExposomes\nImmunotoxins\nIn vivo studies"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231465",
        "title": "Examination of the Exposome in an Animal Model: The Impact of High Fat Diet and Rat Strain on Local and Systemic Immune Markers Following Occupational Welding Fume Exposure (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Antonini J\nErdely A\nKashon M\nKodali V\nMcKinney W\nMeighan T\nRoach K\nRoberts J\nShoeb M\nZeidler-Erdely P\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/8ggw-jwph",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231465",
        "title": "Metadata on HTML Repository Page"
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      "distribution": [
        {
          "@type": "Distribution",
          "title": "Examination of the Exposome in an Animal Model: The Impact of High Fat Diet and Rat Strain on Local and Systemic Immune Markers Following Occupational Welding Fume Exposure (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1065-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1065-2023-0</a>.\nThe fundamental goal of this study was to develop an in vivo model of the exposome that could be used to evaluate exposure-induced alterations in local and systemic immune markers as a function of various exposomal factors. Accordingly, the model was designed to mimic an occupationally-relevant scenario in which inhalation of welding fumes (WF) constituted the primary occupational/environmental exposure of interest. Immune endpoints were assessed at three different time points representative of different stages in the exposure/response timeline (before WF exposure, directly after, and following a 12 wk recovery period). Moreover, the potential impact of genetic variation and lifestyle factors on the immune response to WF exposure and subsequent recovery was addressed by incorporating two different rat strains (Sprague-Dawley [SD] and Brown Norway [BN]) and two variations in diet (regular and high fat) into the model. One of the primary objectives of this study was to determine whether consumption of a HF diet is associated with increased immunological responsivity following exposure to a common respiratory toxicant. The study was also executed with the goal of identifying which experimental factor (genetics/strain, diet, occupational exposure) is most influential in the modulation of local and systemic markers of immune status following WF exposure, and subsequently, the efficacy of inflammation resolution. The information obtained from these analyses will help elucidate which exposomic determinants may be particularly relevant in the context of immunotoxicity, and accordingly, warrant special attention in future investigations. The results will also contribute to the development of other in vivo exposome models and direct future efforts related to the exposome and its impact on human health. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/231465",
          "downloadURL": "https://data.cdc.gov/download/8ggw-jwph/application%2Fx-zip-compressed",
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          }
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1066-2023-0",
      "title": "A Projectile Concussive Impact Model Produces Neuroinflammation in Both Mild and Moderate-Severe Traumatic Brain Injury (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1066-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1066-2023-0</a>.\nTraumatic brain injury (TBI) is as a major cause of death and disability experienced by nearly 3 million people annually resulting from falls, vehicular accidents, or from being struck by or against an object. While TBIs can range in severity, the majority of injuries are considered to be mild. However, TBI of any severity has the potential to have long-lasting neurological effects including headaches, cognitive/memory impairments, mood dysfunction, and fatigue as a result of neuronal damage and neuroinflammation. The goal of the study was to evaluate the neuroinflammatory and neuronal damage outcomes associated with mild or moderate-severe TBI via the modification of an established closed-head injury model of TBI by varying the material of the projectile. Rats that received TBI using a stainless steel projectile exhibited outcomes strongly correlated to moderate-severe TBI, such as prolonged unconsciousness, impaired neurobehavior, increased risk for hematoma and death, as well as significant neuronal degeneration and neuroinflammation throughout the cortex, hippocampus, thalamus, and cerebellum. In contrast, rats that received TBI with an aluminum projectile exhibited characteristics more congruous with mild TBI, such as a trend for longer periods of unconscious in the absence of neurobehavioral deficits, a lack of neurodegeneration and mild neuroinflammation. Our results indicate that different levels of behavioral, neuroinflammatory, and damage outcomes are associated with differing levels of TBI severity. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Toxicology and Molecular Biology Branch (TMBB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-05-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nBehavior\nNervous System\nNervous System Diseases\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "TBI\nTraumatic brain injury\nNeurological disorders\nHead injuries\nBrain matter\nBehavior\nCognitive function\nAnimal studies"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231470",
        "title": "A Projectile Concussive Impact Model Produces Neuroinflammation in Both Mild and Moderate-Severe Traumatic Brain Injury (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Kelly KA\nMichalovicz LT\nO'Callaghan JP\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/4wzk-pwz3",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231470",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "A Projectile Concussive Impact Model Produces Neuroinflammation in Both Mild and Moderate-Severe Traumatic Brain Injury (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1066-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1066-2023-0</a>.\nTraumatic brain injury (TBI) is as a major cause of death and disability experienced by nearly 3 million people annually resulting from falls, vehicular accidents, or from being struck by or against an object. While TBIs can range in severity, the majority of injuries are considered to be mild. However, TBI of any severity has the potential to have long-lasting neurological effects including headaches, cognitive/memory impairments, mood dysfunction, and fatigue as a result of neuronal damage and neuroinflammation. The goal of the study was to evaluate the neuroinflammatory and neuronal damage outcomes associated with mild or moderate-severe TBI via the modification of an established closed-head injury model of TBI by varying the material of the projectile. Rats that received TBI using a stainless steel projectile exhibited outcomes strongly correlated to moderate-severe TBI, such as prolonged unconsciousness, impaired neurobehavior, increased risk for hematoma and death, as well as significant neuronal degeneration and neuroinflammation throughout the cortex, hippocampus, thalamus, and cerebellum. In contrast, rats that received TBI with an aluminum projectile exhibited characteristics more congruous with mild TBI, such as a trend for longer periods of unconscious in the absence of neurobehavioral deficits, a lack of neurodegeneration and mild neuroinflammation. Our results indicate that different levels of behavioral, neuroinflammatory, and damage outcomes are associated with differing levels of TBI severity. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/231470",
          "downloadURL": "https://data.cdc.gov/download/4wzk-pwz3/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/231470",
            "title": "Metadata on HTML Repository Page"
          }
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1067-2023-0",
      "title": "Multi-Walled Carbon Nanotubes Induce Arachidonate 5-Lipoxygenase Expression and Enhance the Polarization and Function of M1 Macrophages In Vitro (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1067-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1067-2023-0</a>.\nFibrogenic carbon nanotubes (CNTs) induce the polarization of M1 and M2 macrophages in mouse lungs. Polarization of the macrophages regulates the production of proinflammatory and pro-resolving lipid mediators (LMs) to mediate acute inflammation and its resolution in a time-dependent manner. Here we examined the molecular mechanism by which multi-walled CNTs (MWCNTs) induce M1 polarization in vitro, with a focus on the induction of arachidonate 5-lipoxygenase (Alox5), a key enzyme in the biosynthesis of LMs. Treatment of J774A.1 murine macrophages with MWCNTs increased the expression of Alox5 mRNA in a concentration- and time-dependent manner, with the largest induction (5.3-fold over control) occurring at 10 mg/ml and 3 days post-exposure. The Alox5 protein was similarly induced. Alongside Alox5 induction, MWCNTs induced the expression of CD68, a cell surface marker of M1, by approximately 2.0-fold and that induction persisted for up to 3 days post-exposure. Both the expression and activity of inducible nitric oxide synthase, an intracellular marker of M1, were increased by MWCNTs up to 8.4-fold. Consistent with M1 polarization, MWCNTs induced the production and secretion of proinflammatory cytokines tumor necrosis factor-a and interleukin-1beta, and proinflammatory LMs leukotriene B4 (LTB4) and prostaglandin E2 (PGE2). Moreover, cell-free media from MWCNT-polarized macrophages induced the migration of neutrophils, which was blocked by Acebilustat, a specific leukotriene A4 hydrolase inhibitor, or LY239111, a LTB4 receptor antagonist, but not the cyclooxygenase 2 inhibitor, NS-398, revealing LTB4 as a major mediator of neutrophil chemotaxis from MWCNT-polarized macrophages. Knockdown of Alox5 using specific small hairpin-RNA suppressed MWCNT-induced M1 polarization, LTB4 secretion, and migration of neutrophils, implicating an important role of Alox5 in MWCNT-induced M1 polarization and function. Taken together, these findings demonstrate the polarization of M1 macrophages by MWCNTs in vitro and highlight induction of Alox5 as an important mechanism by which MWCNTs promote proinflammatory responses by boosting M1 polarization and production of pro-inflammatory LMs. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Toxicology and Molecular Biology Branch (TMBB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-05-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Blood\nImmune System\nLung\nMacrophages\nOccupational Health\nRespiratory System\nSafety"
        }
      ],
      "keyword": [
        "MWCNT\nMulti-walled carbon nanotubes\nPulmonary effects\nImmune reaction\nMacrophages\nIn vitro study\nNanoparticles"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231485",
        "title": "Multi-Walled Carbon Nanotubes Induce Arachidonate 5-Lipoxygenase Expression and Enhance the Polarization and Function of M1 Macrophages In Vitro (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Kashon M\nLim CS\nMa Q\nPorter DW\nVeltri B\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/iudi-d4pc",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231485",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Multi-Walled Carbon Nanotubes Induce Arachidonate 5-Lipoxygenase Expression and Enhance the Polarization and Function of M1 Macrophages In Vitro (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1067-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1067-2023-0</a>.\nFibrogenic carbon nanotubes (CNTs) induce the polarization of M1 and M2 macrophages in mouse lungs. Polarization of the macrophages regulates the production of proinflammatory and pro-resolving lipid mediators (LMs) to mediate acute inflammation and its resolution in a time-dependent manner. Here we examined the molecular mechanism by which multi-walled CNTs (MWCNTs) induce M1 polarization in vitro, with a focus on the induction of arachidonate 5-lipoxygenase (Alox5), a key enzyme in the biosynthesis of LMs. Treatment of J774A.1 murine macrophages with MWCNTs increased the expression of Alox5 mRNA in a concentration- and time-dependent manner, with the largest induction (5.3-fold over control) occurring at 10 mg/ml and 3 days post-exposure. The Alox5 protein was similarly induced. Alongside Alox5 induction, MWCNTs induced the expression of CD68, a cell surface marker of M1, by approximately 2.0-fold and that induction persisted for up to 3 days post-exposure. Both the expression and activity of inducible nitric oxide synthase, an intracellular marker of M1, were increased by MWCNTs up to 8.4-fold. Consistent with M1 polarization, MWCNTs induced the production and secretion of proinflammatory cytokines tumor necrosis factor-a and interleukin-1beta, and proinflammatory LMs leukotriene B4 (LTB4) and prostaglandin E2 (PGE2). Moreover, cell-free media from MWCNT-polarized macrophages induced the migration of neutrophils, which was blocked by Acebilustat, a specific leukotriene A4 hydrolase inhibitor, or LY239111, a LTB4 receptor antagonist, but not the cyclooxygenase 2 inhibitor, NS-398, revealing LTB4 as a major mediator of neutrophil chemotaxis from MWCNT-polarized macrophages. Knockdown of Alox5 using specific small hairpin-RNA suppressed MWCNT-induced M1 polarization, LTB4 secretion, and migration of neutrophils, implicating an important role of Alox5 in MWCNT-induced M1 polarization and function. Taken together, these findings demonstrate the polarization of M1 macrophages by MWCNTs in vitro and highlight induction of Alox5 as an important mechanism by which MWCNTs promote proinflammatory responses by boosting M1 polarization and production of pro-inflammatory LMs. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/231485",
          "downloadURL": "https://data.cdc.gov/download/iudi-d4pc/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/231485",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1068-2023-0",
      "title": "High-Fat Western Diet Alters Silica-Induced Airway Epithelium Ion Exchange but Not Airway Smooth Muscle Reactivity (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1068-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1068-2023-0</a>.\nIntroduction: Silicosis is an irreversible occupational lung disease resulting from crystalline silica exposure. Previously, we discovered that Western diet (HFWD)-consumption increases susceptibility to silica-induced pulmonary inflammation and fibrosis. This study investigates the potential of HFWD to alter silica-induced effects on airway epithelial ion transport and smooth muscle reactivity. General description of data collection methods: This was a laboratory-based investigation that utilized a rat model to study the effects of a high-fat Western diet on silica-induced changes in airway epithelial ion transport and airway smooth muscle reactivity. Six-week-old male F344 rats were fed a HFWD or standard rat chow (STD) and exposed to silica (Min-U-Sil 5®, 15 mg/m3, 6 h/d, 5 d/wk, for 39 d) or filtered air. Experimental endpoints were measured at 0, 4, and 8 wk post-exposure. Transepithelial potential difference (Vt), short-circuit current (ISC) and transepithelial resistance (Rt) were measured in tracheal segments and ion transport inhibitors [amiloride, Na+ channel blocker; NPPB; Cl- channel blocker; ouabain, Na+, K+-pump blocker] identified changes in ion transport pathways. Changes in airway smooth muscle reactivity to methacholine (MCh) were investigated in the isolated perfused trachea. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-01-08",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nDiet\nMusculoskeletal System\nOccupational Health\nRespiratory System\nSafety\nSilicon Dioxide"
        }
      ],
      "keyword": [
        "Silica\nDietary effects\nDiet\nAnimal studies\nMuscle function\nIon transport\nInhalation studies\nSilicosis"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231500",
        "title": "High-Fat Western Diet Alters Silica-Induced Airway Epithelium Ion Exchange but Not Airway Smooth Muscle Reactivity (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/g5ts-294x",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/231500",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "High-Fat Western Diet Alters Silica-Induced Airway Epithelium Ion Exchange but Not Airway Smooth Muscle Reactivity (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1068-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1068-2023-0</a>.\nIntroduction: Silicosis is an irreversible occupational lung disease resulting from crystalline silica exposure. Previously, we discovered that Western diet (HFWD)-consumption increases susceptibility to silica-induced pulmonary inflammation and fibrosis. This study investigates the potential of HFWD to alter silica-induced effects on airway epithelial ion transport and smooth muscle reactivity. General description of data collection methods: This was a laboratory-based investigation that utilized a rat model to study the effects of a high-fat Western diet on silica-induced changes in airway epithelial ion transport and airway smooth muscle reactivity. Six-week-old male F344 rats were fed a HFWD or standard rat chow (STD) and exposed to silica (Min-U-Sil 5®, 15 mg/m3, 6 h/d, 5 d/wk, for 39 d) or filtered air. Experimental endpoints were measured at 0, 4, and 8 wk post-exposure. Transepithelial potential difference (Vt), short-circuit current (ISC) and transepithelial resistance (Rt) were measured in tracheal segments and ion transport inhibitors [amiloride, Na+ channel blocker; NPPB; Cl- channel blocker; ouabain, Na+, K+-pump blocker] identified changes in ion transport pathways. Changes in airway smooth muscle reactivity to methacholine (MCh) were investigated in the isolated perfused trachea. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/231500",
          "downloadURL": "https://data.cdc.gov/download/g5ts-294x/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/231500",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1069-2023-0",
      "title": "Inhalation of Polycarbonate Emissions Generated During 3D Printing Processes Affects Neuroendocrine Function in Male Rats (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1069-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1069-2023-0</a>.\nThree-dimensional printing (3DP) of manufactured goods has increased in the last 10 yrs. The increased use of this technology has resulted in questions about the health effects of inhaling emissions generated during printing. The goal of this study was to determine if inhalation of particulate and toxic chemicals generated during printing with polycarbonate (PC) plastic affected the neuroendocrine system. Male rats were exposed to 3D-printer emissions (500 µg/cm3) or filtered air for 1, 4, 8, 15 or 30d for 4d/week (4h/day). The effects of these exposures on hormone concentrations, and markers of function, injury and/or oxidative stress in the olfactory bulb, hypothalamus and testes were measured after 1, 8 and 30d of exposure. Thirty days of exposure to 3D-emissions resulted in reductions in thyroid stimulating hormone, follicle stimulating hormone and prolactin. These changes were accompanied by increases in markers of cell injury and reductions in active mitochondria in the olfactory bulb, gonadotropin releasing hormone cells and fibers and tyrosine hydroxylase immunolabeled fibers in the arcuate nucleus, and reductions in spermatogonium. PC plastics contain high concentrations bisphenol A and these results are consistent with the hypothesis that the health effects of inhaling 3D-printer emissions may be due to bisphenol A. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Physical Effects Research Branch (PERB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-07-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nHistology\nOccupational Health\nPlastics\nPrinting"
        },
        {
          "@type": "Concept",
          "prefLabel": "Three-Dimensional\nRespiratory System\nSafety"
        }
      ],
      "keyword": [
        "Three dimensional printing\n3D printing\nEmission sources\nInhalation studies\nPlastics\nNeurological system\nHormone activity\nEndocrine function\nAnimal studies\nHistology"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/230108",
        "title": "Inhalation of Polycarbonate Emissions Generated During 3D Printing Processes Affects Neuroendocrine Function in Male Rats (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/dtz3-sij3",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/230108",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Inhalation of Polycarbonate Emissions Generated During 3D Printing Processes Affects Neuroendocrine Function in Male Rats (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1069-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1069-2023-0</a>.\nThree-dimensional printing (3DP) of manufactured goods has increased in the last 10 yrs. The increased use of this technology has resulted in questions about the health effects of inhaling emissions generated during printing. The goal of this study was to determine if inhalation of particulate and toxic chemicals generated during printing with polycarbonate (PC) plastic affected the neuroendocrine system. Male rats were exposed to 3D-printer emissions (500 µg/cm3) or filtered air for 1, 4, 8, 15 or 30d for 4d/week (4h/day). The effects of these exposures on hormone concentrations, and markers of function, injury and/or oxidative stress in the olfactory bulb, hypothalamus and testes were measured after 1, 8 and 30d of exposure. Thirty days of exposure to 3D-emissions resulted in reductions in thyroid stimulating hormone, follicle stimulating hormone and prolactin. These changes were accompanied by increases in markers of cell injury and reductions in active mitochondria in the olfactory bulb, gonadotropin releasing hormone cells and fibers and tyrosine hydroxylase immunolabeled fibers in the arcuate nucleus, and reductions in spermatogonium. PC plastics contain high concentrations bisphenol A and these results are consistent with the hypothesis that the health effects of inhaling 3D-printer emissions may be due to bisphenol A. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/230108",
          "downloadURL": "https://data.cdc.gov/download/dtz3-sij3/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/230108",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1070-2023-0",
      "title": "Fit Evaluation of NIOSH Approved N95 Filtering Facepiece Respirators with Various Skin Protectants: A Pilot Study (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1070-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1070-2023-0</a>.\nWidespread disease outbreaks can result in prolonged wear times of National Institute for Occupational Safety and Health (NIOSH) Approved® N95® filtering facepiece respirators by healthcare personnel. Prolonged wear times of these devices can cause the development of various adverse facial skin conditions. Healthcare personnel have been reported to apply \"skin protectants\" to the face to reduce pressure and friction of respirators. Because tight-fitting respirators rely on a good face seal to protect the wearer, it is important to understand if fit is affected when skin protectants are used. In this laboratory study, volunteers performed quantitative fit tests to evaluate respirator fit while wearing skin protectants. Three NIOSH Approved® N95® filtering facepiece respirator models and three skin protectants (bandage-type, surgical tape, and barrier cream) were evaluated. Three replicate fit tests were performed for each combination of subject, skin protectant (including a control condition of no protectant), and respirator model. Respirator users should follow the respirator manufacturer's guidance on the use of skin protectants. Fit testing should be performed with the skin protectant prior to use in the workplace. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-07-11",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health Personnel\nOccupational Health\nPersonal Protective Equipment\nRespiratory Protective Devices\nSafety\nSkin"
        }
      ],
      "keyword": [
        "Fit testing\nN95 filtering facepiece respirators\nHealth care personnel\nRespirator testing\nPersonal protective equipment\nPPE\nSkin protection"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Ohio\nOSHA Region 3\nOSHA Region 5\nPennsylvania"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/230205",
        "title": "Fit Evaluation of NIOSH Approved N95 Filtering Facepiece Respirators with Various Skin Protectants: A Pilot Study (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Bergman MS\nGrinshpun SA\nVollmer BE\nYermakov MV\nYoon KN\nZhuang Z\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/esmz-a36m",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/230205",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Fit Evaluation of NIOSH Approved N95 Filtering Facepiece Respirators with Various Skin Protectants: A Pilot Study (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1070-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1070-2023-0</a>.\nWidespread disease outbreaks can result in prolonged wear times of National Institute for Occupational Safety and Health (NIOSH) Approved® N95® filtering facepiece respirators by healthcare personnel. Prolonged wear times of these devices can cause the development of various adverse facial skin conditions. Healthcare personnel have been reported to apply \"skin protectants\" to the face to reduce pressure and friction of respirators. Because tight-fitting respirators rely on a good face seal to protect the wearer, it is important to understand if fit is affected when skin protectants are used. In this laboratory study, volunteers performed quantitative fit tests to evaluate respirator fit while wearing skin protectants. Three NIOSH Approved® N95® filtering facepiece respirator models and three skin protectants (bandage-type, surgical tape, and barrier cream) were evaluated. Three replicate fit tests were performed for each combination of subject, skin protectant (including a control condition of no protectant), and respirator model. Respirator users should follow the respirator manufacturer's guidance on the use of skin protectants. Fit testing should be performed with the skin protectant prior to use in the workplace. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/230205",
          "downloadURL": "https://data.cdc.gov/download/esmz-a36m/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/230205",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1071-2023-0",
      "title": "DPM OC, EC and FT-IR Data (Quantifying Elemental and Organic Carbon in Diesel Particulate Matter by mid Infrared Spectrometry) (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1071-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1071-2023-0</a>.\nA method for the quantification of airborne organic carbon (OC) and elemental carbon (EC) within aerosolized diesel particulate matter (DPM) is described in the article cited below. DPM is a known carcinogen encountered in many industrial workplaces (notably mining) and in the ambient atmosphere. The method described here collects DPM particles onto a quartz fiber filter, after which reflection-mode infrared spectra are measured on a mid-infrared Fourier transform (FT-IR) spectrometer. Several infrared absorption bands are investigated for their efficacy in quantifying OC and EC. The thermo-optical (T-O) method is used to calibrate a linear regression model to predict OC and EC from the infrared spectra. The calibrated model, generated from laboratory DPM samples, is then utilized to quantify OC and EC in mine samples obtained from two metal mine locations under a variety of operating conditions. The feasibility of further improving these results by partial least squares (PLS) regression was investigated. A single calibration that is broadly applicable would be considered an improvement over currently available portable instruments, which require aerosol-specific calibration. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Spokane Mining Research Division (SMRD). Miner Health Branch (MHB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-07-25",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nAir Pollutants"
        },
        {
          "@type": "Concept",
          "prefLabel": "Occupational\nAir Pollution\nMining\nOccupational Health\nParticulate Matter\nSafety\nVehicle Emissions"
        }
      ],
      "keyword": [
        "Aerosols\nDiesel exhausts\nParticulates\nCarbon\nMining\nAirborne particulates\nAir quality measurement\nSampling equipment\nInfrared spectroscopy"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Idaho\nOSHA Region 10\nWashington"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/215632",
        "title": "DPM OC, EC and FT-IR Data (Quantifying Elemental and Organic Carbon in Diesel Particulate Matter by mid Infrared Spectrometry) (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/dgwc-f5xf",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/215632",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "DPM OC, EC and FT-IR Data (Quantifying Elemental and Organic Carbon in Diesel Particulate Matter by mid Infrared Spectrometry) (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1071-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1071-2023-0</a>.\nA method for the quantification of airborne organic carbon (OC) and elemental carbon (EC) within aerosolized diesel particulate matter (DPM) is described in the article cited below. DPM is a known carcinogen encountered in many industrial workplaces (notably mining) and in the ambient atmosphere. The method described here collects DPM particles onto a quartz fiber filter, after which reflection-mode infrared spectra are measured on a mid-infrared Fourier transform (FT-IR) spectrometer. Several infrared absorption bands are investigated for their efficacy in quantifying OC and EC. The thermo-optical (T-O) method is used to calibrate a linear regression model to predict OC and EC from the infrared spectra. The calibrated model, generated from laboratory DPM samples, is then utilized to quantify OC and EC in mine samples obtained from two metal mine locations under a variety of operating conditions. The feasibility of further improving these results by partial least squares (PLS) regression was investigated. A single calibration that is broadly applicable would be considered an improvement over currently available portable instruments, which require aerosol-specific calibration. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/215632",
          "downloadURL": "https://data.cdc.gov/download/dgwc-f5xf/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/215632",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1072-2023-0",
      "title": "Health Conditions Among Male Workers in Mining and Other Industries Reliant on Manual Labor Occupations: National Health Interview Survey, 2007-2018 (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1072-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1072-2023-0</a>.\nIntroduction: The National Health Interview Survey (NHIS) is an annual cross-sectional survey that collects information on a broad range of health topics; it was developed by the National Center for Health Statistics (NCHS) and is currently administered by the U.S. Census Bureau. NHIS datasets for the years 2007-2018 were combined to ensure an adequate sample size <a href=\"https://doi.org/10.1002/ajim.23483\"target=\"_blank\">to study currently working male miners</a>. During 2007-2018, the NHIS included four core modules. The Family and Sample Adult core modules were used in the study. The Family core module collected health and sociodemographic information on each member of each family within the household. The Sample Adult core module collected health and industry and occupation information for the randomly chosen sample adult from each household interviewed. Data collection methods: Each month of the year, the NHIS uses geographically clustered sampling techniques to identify a nationally representative sample of households. Households are recruited to participate in face-to-face interviews. Data collected during interviews are later assigned statistical weights to generalize to the civilian, noninstitutionalized population. Details on the NHIS are available <a href=\"https://www.cdc.gov/nchs/nhis/index.htm\"target=\"_blank\">here</a>. These data were modified for the study analyses and to account for pooling multiple years. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Spokane Mining Research Division (SMRD). Miner Health Branch (MHB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-08-18",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Chronic Disease\nDemography\nEpidemiology\nMen\nMining\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "Mining industry\nMiners\nNational Health Interview Survey\nNHIS\nCross sectional studies\nChronic diseases\nMen\nEpidemiology\nOccupational health\nDemographic characteristics\nManual materials handling"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 10\nWashington"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/215642",
        "title": "Health Conditions Among Male Workers in Mining and Other Industries Reliant on Manual Labor Occupations: National Health Interview Survey, 2007-2018 (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/ujph-mgrh",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/215642",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Health Conditions Among Male Workers in Mining and Other Industries Reliant on Manual Labor Occupations: National Health Interview Survey, 2007-2018 (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1072-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1072-2023-0</a>.\nIntroduction: The National Health Interview Survey (NHIS) is an annual cross-sectional survey that collects information on a broad range of health topics; it was developed by the National Center for Health Statistics (NCHS) and is currently administered by the U.S. Census Bureau. NHIS datasets for the years 2007-2018 were combined to ensure an adequate sample size <a href=\"https://doi.org/10.1002/ajim.23483\"target=\"_blank\">to study currently working male miners</a>. During 2007-2018, the NHIS included four core modules. The Family and Sample Adult core modules were used in the study. The Family core module collected health and sociodemographic information on each member of each family within the household. The Sample Adult core module collected health and industry and occupation information for the randomly chosen sample adult from each household interviewed. Data collection methods: Each month of the year, the NHIS uses geographically clustered sampling techniques to identify a nationally representative sample of households. Households are recruited to participate in face-to-face interviews. Data collected during interviews are later assigned statistical weights to generalize to the civilian, noninstitutionalized population. Details on the NHIS are available <a href=\"https://www.cdc.gov/nchs/nhis/index.htm\"target=\"_blank\">here</a>. These data were modified for the study analyses and to account for pooling multiple years. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/215642",
          "downloadURL": "https://data.cdc.gov/download/ujph-mgrh/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/215642",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1073-2023-0",
      "title": "Filtering Facepiece Respirators with an Exhalation Valve: Measurements of Filtration Efficiency to Evaluate Their Potential for Source Control (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1073-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1073-2023-0</a>.\nFiltering facepiece respirators (FFRs) are used extensively by healthcare personnel (HCP) during a pandemic. FFRs are primarily reserved for those personnel who have a greater risk and longer duration of exposure compared with other workers and the general public. Some FFR models contain an exhalation valve, which is a device that closes to allow inhaled breath to be pulled through the filter media and opens to allow exhaled breath to be expelled from the respirator through the exhalation valve as well as the filter media. These FFR models provide the wearer with a level of protection like that of an FFR without an exhalation valve, and they are thought to increase the wearer's comfort at high work rates and be suitable for longer periods of use. However, respiratory secretions expelled by wearers may exit along with air through the exhalation valve. A concern with FFRs with an exhalation valve is that individuals may spread disease if unfiltered, virus-laden aerosols pass through the valve. During the COVID-19 pandemic, guidance from the Centers for Disease Control and Prevention (CDC) did not recommend using an FFR with an exhalation valve for source control (i.e., to filter respiratory secretions to prevent disease transmission to others) and advised that if only this option is available and source control was needed, then the valve should be covered with a surgical mask, procedure mask, or a cloth face covering that does not interfere with the respirator fit. The CDC requested research to provide improved science-based recommendations on the use of exhalation valves. This study had three aims: (1) to measure the filtration efficiency provided by FFRs with an exhalation valve under conditions of inward airflow (i.e., in the direction of inhalation) and outward airflow (i.e., in the direction of exhalation); (2) to evaluate how particle penetration in FFRs with an exhalation valve compares to particle penetration in surgical masks, procedure masks, cloth face coverings, and fabric from cotton t-shirts; and (3) to determine the filtration efficiency of three modifications to the exhalation valve in FFRs with the goal of mitigating the emission of unfiltered particles. To accomplish these three aims, thirteen FFR models were each tested in two positions: inward position, which is used by the NIOSH Respirator Approval Program when testing N-type respirators, and outward position, which was used experimentally to channel airflow in the direction of exhalation. For the inward position, three mitigation strategies were used: (1)covering the valve on the interior of the FFR with commonly available surgical tape, (2)covering the valve on the interior of the FFR with an electrocardiogram (ECG) pad; and (3)stretching a surgical mask over the exterior of the FFR. The purpose of these three strategies was to measure the varying filtration efficiencies to determine their contribution toward source control. Both positions and all mitigation strategies were tested at three airflow rates: 25, 55, and 85 lpm (liters per minute). In addition to the FFR evaluations, researchers evaluated a selection of surgical masks, procedure masks, cloth face coverings, and fabric from cotton t-shirts using the outward position and flowrates described previously. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Personal Protective Technology Laboratory (NPPTL). Research Branch (RB)",
          "hasEmail": "mailto:ODAdmin@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
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              }
            ]
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        ]
      },
      "accessRights": "public",
      "issued": "2023-09-19",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Filtration\nOccupational Health\nPersonal Protective Equipment\nRespiratory Protective Devices\nSafety"
        }
      ],
      "keyword": [
        "Respirators\nRespirator testing\nPersonal protective equipment\nPPE\nFiltration\nSurgical masks\nDisease transmission"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nPennsylvania"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207094",
        "title": "Filtering Facepiece Respirators with an Exhalation Valve: Measurements of Filtration Efficiency to Evaluate Their Potential for Source Control (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
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        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Brannen JJ\nMeyers JW\nPortnoff L\nSchall JE\nStrickland KT\nSuhon NL\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/24ct-nyt8",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207094",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Filtering Facepiece Respirators with an Exhalation Valve: Measurements of Filtration Efficiency to Evaluate Their Potential for Source Control (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1073-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1073-2023-0</a>.\nFiltering facepiece respirators (FFRs) are used extensively by healthcare personnel (HCP) during a pandemic. FFRs are primarily reserved for those personnel who have a greater risk and longer duration of exposure compared with other workers and the general public. Some FFR models contain an exhalation valve, which is a device that closes to allow inhaled breath to be pulled through the filter media and opens to allow exhaled breath to be expelled from the respirator through the exhalation valve as well as the filter media. These FFR models provide the wearer with a level of protection like that of an FFR without an exhalation valve, and they are thought to increase the wearer's comfort at high work rates and be suitable for longer periods of use. However, respiratory secretions expelled by wearers may exit along with air through the exhalation valve. A concern with FFRs with an exhalation valve is that individuals may spread disease if unfiltered, virus-laden aerosols pass through the valve. During the COVID-19 pandemic, guidance from the Centers for Disease Control and Prevention (CDC) did not recommend using an FFR with an exhalation valve for source control (i.e., to filter respiratory secretions to prevent disease transmission to others) and advised that if only this option is available and source control was needed, then the valve should be covered with a surgical mask, procedure mask, or a cloth face covering that does not interfere with the respirator fit. The CDC requested research to provide improved science-based recommendations on the use of exhalation valves. This study had three aims: (1) to measure the filtration efficiency provided by FFRs with an exhalation valve under conditions of inward airflow (i.e., in the direction of inhalation) and outward airflow (i.e., in the direction of exhalation); (2) to evaluate how particle penetration in FFRs with an exhalation valve compares to particle penetration in surgical masks, procedure masks, cloth face coverings, and fabric from cotton t-shirts; and (3) to determine the filtration efficiency of three modifications to the exhalation valve in FFRs with the goal of mitigating the emission of unfiltered particles. To accomplish these three aims, thirteen FFR models were each tested in two positions: inward position, which is used by the NIOSH Respirator Approval Program when testing N-type respirators, and outward position, which was used experimentally to channel airflow in the direction of exhalation. For the inward position, three mitigation strategies were used: (1)covering the valve on the interior of the FFR with commonly available surgical tape, (2)covering the valve on the interior of the FFR with an electrocardiogram (ECG) pad; and (3)stretching a surgical mask over the exterior of the FFR. The purpose of these three strategies was to measure the varying filtration efficiencies to determine their contribution toward source control. Both positions and all mitigation strategies were tested at three airflow rates: 25, 55, and 85 lpm (liters per minute). In addition to the FFR evaluations, researchers evaluated a selection of surgical masks, procedure masks, cloth face coverings, and fabric from cotton t-shirts using the outward position and flowrates described previously. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/207094",
          "downloadURL": "https://data.cdc.gov/download/24ct-nyt8/application%2Fx-zip-compressed",
          "format": "ZIP folder",
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          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/207094",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1074-2023-0",
      "title": "Characterization of a Multi-Stage Focusing Nozzle for Collection of Spot Samples for Aerosol Chemical Analysis (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1074-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1074-2023-0</a>.\nConcentrated collection of aerosol particles on a substrate is essential for their chemical analysis using various microscopy and laser spectroscopic techniques. An impaction-based aerosol concentration system was developed for focused collection of particles using a multi-stage nozzle that consists of a succession of multiple smooth converging stages. Converging sections of the nozzle were designed to focus and concentrate a particle diameter range of 900 to 2500 nm into a relatively narrower particle beam to obtain particulate deposits with spot diameters of 0.5-1.56 mm. A slightly diverging section before the last contractions was included to allow for better focusing of particles at the lower end of the collectable diameter range. The characterization of this multi-stage nozzle and the impaction-based aerosol concentration system encompassing the nozzle was accomplished both numerically and experimentally. The numerical and experimental trends in collection efficiency and spot diameters agreed well qualitatively; however, the quantitative agreement between numerical and experimental results for wall losses was poor, particularly for larger particle diameters. The resulting concentrated particulate deposit, a spot sample, was analysed using Raman spectroscopy to probe effect of spot size on analytical sensitivity of measurement. The method's sensitivity was compared against other conventional techniques, such as filtration and aerosol focused impaction, implementing condensational growth. Impaction encompassing the multi-stage focusing nozzle is the only method that can ensure high sensitivity at Reynolds numbers greater than 2000, that can be supported by small pumps which renders such method suitable for portable instrumentation. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-12-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nChemistry\nMicrobiology\nOccupational Health\nParticulate Matter\nSafety"
        }
      ],
      "keyword": [
        "Aerosols\nAerosol sampling\nSpectroscopes\nMicroscopic analysis\nAnalytical instrumentation\nChemical analysis\nParticle size"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207124",
        "title": "Characterization of a Multi-Stage Focusing Nozzle for Collection of Spot Samples for Aerosol Chemical Analysis (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/rdfw-s4u4",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207124",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Characterization of a Multi-Stage Focusing Nozzle for Collection of Spot Samples for Aerosol Chemical Analysis (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1074-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1074-2023-0</a>.\nConcentrated collection of aerosol particles on a substrate is essential for their chemical analysis using various microscopy and laser spectroscopic techniques. An impaction-based aerosol concentration system was developed for focused collection of particles using a multi-stage nozzle that consists of a succession of multiple smooth converging stages. Converging sections of the nozzle were designed to focus and concentrate a particle diameter range of 900 to 2500 nm into a relatively narrower particle beam to obtain particulate deposits with spot diameters of 0.5-1.56 mm. A slightly diverging section before the last contractions was included to allow for better focusing of particles at the lower end of the collectable diameter range. The characterization of this multi-stage nozzle and the impaction-based aerosol concentration system encompassing the nozzle was accomplished both numerically and experimentally. The numerical and experimental trends in collection efficiency and spot diameters agreed well qualitatively; however, the quantitative agreement between numerical and experimental results for wall losses was poor, particularly for larger particle diameters. The resulting concentrated particulate deposit, a spot sample, was analysed using Raman spectroscopy to probe effect of spot size on analytical sensitivity of measurement. The method's sensitivity was compared against other conventional techniques, such as filtration and aerosol focused impaction, implementing condensational growth. Impaction encompassing the multi-stage focusing nozzle is the only method that can ensure high sensitivity at Reynolds numbers greater than 2000, that can be supported by small pumps which renders such method suitable for portable instrumentation. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/207124",
          "downloadURL": "https://data.cdc.gov/download/rdfw-s4u4/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/207124",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1075-2023-0",
      "title": "Inconsequential Role for Chemerin-Like Receptor 1 in the Manifestation of Ozone-Induced Lung Pathophysiology in Mice (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1075-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1075-2023-0</a>.\nChemerin, a non-chemokine chemoattractant, and resolvin E1 (RvE1), a specialized pro-resolving lipid mediator, are endogenous ligands for chemerin-like receptor 1 (CMKLR1), a Gi/o protein-coupled receptor expressed by leukocytes and non-leukocytes. In mice, exogenous administration of chemerin or RvE1 diminishes the severity of lung inflammation and airway hyperresponsiveness (AHR) induced by antigen sensitization and challenge, which mimics phenotypic features of atopic asthma in humans. However, the contribution of chemerin or RvE1 to features of non-atopic asthma is unknown. Therefore, to indirectly assess if chemerin or RvE1 facilitates development of a non-atopic asthma phenotype, which includes AHR to acetyl-&beta;-methylcholine chloride, lung hyperpermeability, airway epithelial cell desquamation, and lung inflammation, we quantified features of these sequelae in wild-type mice and mice failing to express CMKLR1 (CMKLR1-deficient mice) following cessation of acute inhalation exposure to either filtered room air or ozone, a criteria pollutant and non-atopic asthma stimulus. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-11-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nAsthma\nAsthma"
        },
        {
          "@type": "Concept",
          "prefLabel": "Occupational\nBlood\nImmune System\nLung\nMacrophages\nOccupational Health\nOzone\nRespiratory System\nSafety"
        }
      ],
      "keyword": [
        "Ozone\nAnimal studies\nPhysiopathology\nAsthma\nImmune reaction\nInhalation studies\nLung irritants\nLeukocytes\nMacrophages\nAirway resistance"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "New York\nOSHA Region 2\nOSHA Region 3\nOSHA Region 6\nTexas\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207341",
        "title": "Inconsequential Role for Chemerin-Like Receptor 1 in the Manifestation of Ozone-Induced Lung Pathophysiology in Mice (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/62a3-8df5",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207341",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Inconsequential Role for Chemerin-Like Receptor 1 in the Manifestation of Ozone-Induced Lung Pathophysiology in Mice (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1075-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1075-2023-0</a>.\nChemerin, a non-chemokine chemoattractant, and resolvin E1 (RvE1), a specialized pro-resolving lipid mediator, are endogenous ligands for chemerin-like receptor 1 (CMKLR1), a Gi/o protein-coupled receptor expressed by leukocytes and non-leukocytes. In mice, exogenous administration of chemerin or RvE1 diminishes the severity of lung inflammation and airway hyperresponsiveness (AHR) induced by antigen sensitization and challenge, which mimics phenotypic features of atopic asthma in humans. However, the contribution of chemerin or RvE1 to features of non-atopic asthma is unknown. Therefore, to indirectly assess if chemerin or RvE1 facilitates development of a non-atopic asthma phenotype, which includes AHR to acetyl-&beta;-methylcholine chloride, lung hyperpermeability, airway epithelial cell desquamation, and lung inflammation, we quantified features of these sequelae in wild-type mice and mice failing to express CMKLR1 (CMKLR1-deficient mice) following cessation of acute inhalation exposure to either filtered room air or ozone, a criteria pollutant and non-atopic asthma stimulus. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/207341",
          "downloadURL": "https://data.cdc.gov/download/62a3-8df5/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/207341",
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          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1076-2023-0",
      "title": "Developing a Solution for Nasal and Olfactory Transport of Nanomaterials (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1076-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1076-2023-0</a>.\nNanotechnology is one of the most rapidly developing areas of the economy and involves the study and control of matter in the nanoscale. The nanoscale is the size range from 1 to 100 nm. Recently, some nanomaterials have demonstrated the ability to enter the brain through the olfactory pathway from the nose to the brain. This pathway can potentially enable inhaled nanomaterials to enter the brain. Inhalation exposures are technically difficult and expensive. Intranasal instillation is a potential screening tool for evaluating nose to brain transport. However, particles in aqueous media tend to agglomerate and agglomerated particles often act like larger particles in terms of surface area, toxicity, and size thresholds for transport pathways. For neuronal transport within the brain, the upper size limit is estimated to be approximately 100 nm. Therefore, nanomaterials must be adequately dispersed in the vehicle used for instillation in order to evaluate their potential for transport from the nose to the brain. Because 100 nm is the upper size limit estimated for transport within the central nervous system, components of dispersion media may need to be different from dispersion media used to evaluate toxicity in other tissues. For example, albumin, a protein which is useful in dispersion media developed for the lung, can interact with nanomaterials and increase their size. In addition, neurons transport sodium out of the cell, suggesting that a dispersion medium to evaluate nose-to-brain transport should avoid high sodium concentrations. To overcome issues with the size of albumin and other proteins as well as the potential effects of sodium and phosphate, we hypothesized that free amino acids, a balanced electrolyte solution, and a mixture of phospholipids could produce a solution that both dispersed nanomaterials and was compatible with neuronal transport. This study describes and characterizes a solution for nasal and olfactory transport (SNOT) that can disperse nanomaterials and dyes with nanoscale dimensions, enabling intranasal instillation so that potential nose-to-brain transport can be evaluated. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-12-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Nervous System\nNose\nOccupational Health\nRespiratory System\nSafety\nSense Organs"
        }
      ],
      "keyword": [
        "Nanomaterials\nNanotechnology\nOlfactory system\nNasal cavity\nInhalation\nCentral nervous system\nTransport mechanisms\nNeurotoxicology"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207422",
        "title": "Developing a Solution for Nasal and Olfactory Transport of Nanomaterials (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Boots TE\nBowers L\nClingerman SM\nCoyle J\nDerk R\nDodd TM\nFluharty KL\nHubbs; Ann F.\nKnepp AK\nMercer RR\nO'Connell RC\nPorter DW\nSriram K\nStefaniak; Aleksandr B.\nStueckle; Todd A.\nWolfarth M\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/rbj6-gv57",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207422",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Developing a Solution for Nasal and Olfactory Transport of Nanomaterials (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1076-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1076-2023-0</a>.\nNanotechnology is one of the most rapidly developing areas of the economy and involves the study and control of matter in the nanoscale. The nanoscale is the size range from 1 to 100 nm. Recently, some nanomaterials have demonstrated the ability to enter the brain through the olfactory pathway from the nose to the brain. This pathway can potentially enable inhaled nanomaterials to enter the brain. Inhalation exposures are technically difficult and expensive. Intranasal instillation is a potential screening tool for evaluating nose to brain transport. However, particles in aqueous media tend to agglomerate and agglomerated particles often act like larger particles in terms of surface area, toxicity, and size thresholds for transport pathways. For neuronal transport within the brain, the upper size limit is estimated to be approximately 100 nm. Therefore, nanomaterials must be adequately dispersed in the vehicle used for instillation in order to evaluate their potential for transport from the nose to the brain. Because 100 nm is the upper size limit estimated for transport within the central nervous system, components of dispersion media may need to be different from dispersion media used to evaluate toxicity in other tissues. For example, albumin, a protein which is useful in dispersion media developed for the lung, can interact with nanomaterials and increase their size. In addition, neurons transport sodium out of the cell, suggesting that a dispersion medium to evaluate nose-to-brain transport should avoid high sodium concentrations. To overcome issues with the size of albumin and other proteins as well as the potential effects of sodium and phosphate, we hypothesized that free amino acids, a balanced electrolyte solution, and a mixture of phospholipids could produce a solution that both dispersed nanomaterials and was compatible with neuronal transport. This study describes and characterizes a solution for nasal and olfactory transport (SNOT) that can disperse nanomaterials and dyes with nanoscale dimensions, enabling intranasal instillation so that potential nose-to-brain transport can be evaluated. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/207422",
          "downloadURL": "https://data.cdc.gov/download/rbj6-gv57/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/207422",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1077-2023-0",
      "title": "4,4′-Methylene Diphenyl Diisocyanate Exposure Induces Expression of Alternatively Activated Macrophage-Associated Markers and Chemokines Partially Through Krüppel-Like Factor 4 Mediated Signaling in Macrophages (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1077-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1077-2023-0</a>.\nExposure to 4,4'-methylene diphenyl diisocyanate (MDI), the most widely used monomeric diisocyanate, in the occupational setting may lead to the development of occupational asthma (OA). Currently, the underlying molecular mechanism(s) by which MDI induces OA remain an active area of research. Alveolar macrophage dysfunctions play important roles in asthma pathogenesis. Upon exposure to outside stimuli, macrophages are polarized into either classically activated (M1) or alternatively activated (M2) phenotypes. Macrophage polarization is associated with asthma development where M2 macrophage populations are usually pronounced in lungs of asthmatic patients. Recent in vivo studies demonstrated that M2 macrophage associated markers and chemokines were induced by MDI exposure, indicating that MDI may induce M2 macrophage polarization; however, the underling molecular mechanism(s) by which MDI causes induction of M2 associated markers and chemokines is unclear. M2 macrophage polarization can be regulated by activation of several M2 associated transcription factors; however, whether MDI exposure regulates these transcription factors is unknown. We hypothesize that MDI exposure induces M2 macrophage associate markers and chemokines through upregulation of M2 macrophage-associated transcription factors in macrophages. The first aim of this study is to verify whether MDI-exposure can induce M2 macrophage-associated markers and chemokine expression that were observed in previous studies and to identify candidate M2 macrophage-associated transcription factors in response to MDI exposure that may account for the in M2 macrophage polarization. After identification of the candidate transcription factor(s) that can be regulated by MDI-exposure, we investigate the roles of the candidate transcription factor in regulation of these candidate M2 macrophage associate markers and chemokines in relation to the exposure to MDI. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2023-12-27",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Asthma"
        },
        {
          "@type": "Concept",
          "prefLabel": "Occupational\nBlood\nLung\nMacrophages\nOccupational Health\nRespiratory System\nSafety"
        }
      ],
      "keyword": [
        "4",
        "4-Methylene diphenyl diisocyanate\nOccupational asthma\nLung cells\nMacrophages\nMolecular signaling\nGene expression"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207426",
        "title": "4,4′-Methylene Diphenyl Diisocyanate Exposure Induces Expression of Alternatively Activated Macrophage-Associated Markers and Chemokines Partially Through Krüppel-Like Factor 4 Mediated Signaling in Macrophages (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/uk9u-uv8c",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207426",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "4,4′-Methylene Diphenyl Diisocyanate Exposure Induces Expression of Alternatively Activated Macrophage-Associated Markers and Chemokines Partially Through Krüppel-Like Factor 4 Mediated Signaling in Macrophages (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1077-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1077-2023-0</a>.\nExposure to 4,4'-methylene diphenyl diisocyanate (MDI), the most widely used monomeric diisocyanate, in the occupational setting may lead to the development of occupational asthma (OA). Currently, the underlying molecular mechanism(s) by which MDI induces OA remain an active area of research. Alveolar macrophage dysfunctions play important roles in asthma pathogenesis. Upon exposure to outside stimuli, macrophages are polarized into either classically activated (M1) or alternatively activated (M2) phenotypes. Macrophage polarization is associated with asthma development where M2 macrophage populations are usually pronounced in lungs of asthmatic patients. Recent in vivo studies demonstrated that M2 macrophage associated markers and chemokines were induced by MDI exposure, indicating that MDI may induce M2 macrophage polarization; however, the underling molecular mechanism(s) by which MDI causes induction of M2 associated markers and chemokines is unclear. M2 macrophage polarization can be regulated by activation of several M2 associated transcription factors; however, whether MDI exposure regulates these transcription factors is unknown. We hypothesize that MDI exposure induces M2 macrophage associate markers and chemokines through upregulation of M2 macrophage-associated transcription factors in macrophages. The first aim of this study is to verify whether MDI-exposure can induce M2 macrophage-associated markers and chemokine expression that were observed in previous studies and to identify candidate M2 macrophage-associated transcription factors in response to MDI exposure that may account for the in M2 macrophage polarization. After identification of the candidate transcription factor(s) that can be regulated by MDI-exposure, we investigate the roles of the candidate transcription factor in regulation of these candidate M2 macrophage associate markers and chemokines in relation to the exposure to MDI. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/207426",
          "downloadURL": "https://data.cdc.gov/download/uk9u-uv8c/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/207426",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1078-2023-0",
      "title": "Optimization of Aspergillus versicolor Culture and Aerosolization in a Murine Model of Inhalational Fungal Exposure (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1078-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1078-2023-0</a>.\nAspergillus versicolor is ubiquitous in the environment and is particularly abundant in damp indoor spaces. Exposure to Aspergillus species, as well as other environmental fungi, has been linked to adverse health outcomes including asthma, allergy, and even local or disseminated infection. However, the pulmonary immunological mechanisms associated with repeated exposure to A. versicolor have remained relatively uncharacterized. Here, A. versicolor was cultured and desiccated on rice, then placed in an acoustical generator system to achieve aerosolization. Mice were challenged with titrated doses of aerosolized conidia to examine deposition, lymphoproliferative properties, and then the immunotoxicological response to repeated inhalation exposures. The necessary dose to induce lymphoproliferation, but not infection-like pathology, was identified. Further, it was determined that the dose was able to initiate localized immune responses. The data presented in this study demonstrate an optimized and reproducible method for delivering A. versicolor conidia to rodents via nose-only inhalation. Additionally, the feasibility of a long-term repeated exposure study was established. This experimental protocol can be used in future studies to investigate physiological effects of repeated pulmonary exposure to fungal conidia utilizing a practical and relevant mode of delivery. In total, these data constitute an important foundation for subsequent research in the field. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-01-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nFungi\nImmune System\nOccupational Health\nRespiratory System\nSafety"
        }
      ],
      "keyword": [
        "Aspergillus infection\nIndoor environments\nFungi\nBioaerosols\nInhalation\nAnimal studies\nImmune reaction\nImmunological tests\nHistopathology"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Indiana\nNorth Carolina\nOSHA Region 3\nOSHA Region 4\nOSHA Region 5\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207456",
        "title": "Optimization of Aspergillus versicolor Culture and Aerosolization in a Murine Model of Inhalational Fungal Exposure (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Anderson; Stacey E.\nBarnes MA\nBeezhold; Donald H.\nBlackwood CB\nCroston TL\nGermolec DR\nGoldsmith WT\nGreen; Brett J.\nLemons; Angela R.\nMcKinney W\nPark; Ju-Hyeong\nRush RE\nSulyok M\nWeaver KL\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/bwwd-cuna",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207456",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Optimization of Aspergillus versicolor Culture and Aerosolization in a Murine Model of Inhalational Fungal Exposure (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1078-2023-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1078-2023-0</a>.\nAspergillus versicolor is ubiquitous in the environment and is particularly abundant in damp indoor spaces. Exposure to Aspergillus species, as well as other environmental fungi, has been linked to adverse health outcomes including asthma, allergy, and even local or disseminated infection. However, the pulmonary immunological mechanisms associated with repeated exposure to A. versicolor have remained relatively uncharacterized. Here, A. versicolor was cultured and desiccated on rice, then placed in an acoustical generator system to achieve aerosolization. Mice were challenged with titrated doses of aerosolized conidia to examine deposition, lymphoproliferative properties, and then the immunotoxicological response to repeated inhalation exposures. The necessary dose to induce lymphoproliferation, but not infection-like pathology, was identified. Further, it was determined that the dose was able to initiate localized immune responses. The data presented in this study demonstrate an optimized and reproducible method for delivering A. versicolor conidia to rodents via nose-only inhalation. Additionally, the feasibility of a long-term repeated exposure study was established. This experimental protocol can be used in future studies to investigate physiological effects of repeated pulmonary exposure to fungal conidia utilizing a practical and relevant mode of delivery. In total, these data constitute an important foundation for subsequent research in the field. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/207456",
          "downloadURL": "https://data.cdc.gov/download/bwwd-cuna/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/207456",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1079-2024-0",
      "title": "Lung Toxicity, Deposition, and Clearance of Thermal Spray Coating Particles with Different Metal Profiles After Inhalation in Rats (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1079-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1079-2024-0</a>.\nThermal spray coating is a process in which molten metal is sprayed onto a surface. Little is known about the health effects associated with these aerosols. Sprague-Dawley rats were exposed to aerosols (25 mg/m3 x 4 hr/d x 4 d) generated during thermal spray coating using different consumables [i.e., stainless-steel wire (PMET731), Ni-based wire (PMET885), Zn-based wire (PMET540)]. Control animals received air. Bronchoalveolar lavage was performed at 4 and 30 d post-exposure to assess lung toxicity. The particles were chain-like agglomerates and similar in size (310-378 nm). Inhalation of PMET885 aerosol caused a significant increase in lung injury and inflammation at both time points. Inhalation of PMET540 aerosol caused a slight but significant increase in lung toxicity at 4 but not 30 d. Exposure to PMET731 aerosol had no effect on lung toxicity. Overall, the lung responses were in the order: PMET885>>PMET540>PMT731. Following a shorter exposure (25 mg/m3 x 4 h/d x 1d), lung burdens of metals from the different aerosols were determined by ICP-AES at 0, 1, 4 and 30 d post-exposure. Zn was cleared from the lungs at the fastest rate with complete clearance by 4 d post-exposure. Ni, Cr, and Mn had similar rates of clearance as nearly half of the deposited metal was cleared by 4 d. A small but significant percentage of each of these metals persisted in the lungs at 30 d. The pulmonary clearance of Fe was difficult to assess because of inherently high levels of Fe in control lungs. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-04-10",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nAnimals\nLung\nOccupational Health\nParticulate Matter\nRespiratory System\nSafety\nToxicology"
        }
      ],
      "keyword": [
        "Sprays\nProtective coatings\nAerosols\nInhalation\nAnimal studies\nLung tissue\nCellular effects\nMetal oxides\nNanotoxicology\nParticulates"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207614",
        "title": "Lung Toxicity, Deposition, and Clearance of Thermal Spray Coating Particles with Different Metal Profiles After Inhalation in Rats (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/2se8-zi9r",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207614",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Lung Toxicity, Deposition, and Clearance of Thermal Spray Coating Particles with Different Metal Profiles After Inhalation in Rats (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1079-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1079-2024-0</a>.\nThermal spray coating is a process in which molten metal is sprayed onto a surface. Little is known about the health effects associated with these aerosols. Sprague-Dawley rats were exposed to aerosols (25 mg/m3 x 4 hr/d x 4 d) generated during thermal spray coating using different consumables [i.e., stainless-steel wire (PMET731), Ni-based wire (PMET885), Zn-based wire (PMET540)]. Control animals received air. Bronchoalveolar lavage was performed at 4 and 30 d post-exposure to assess lung toxicity. The particles were chain-like agglomerates and similar in size (310-378 nm). Inhalation of PMET885 aerosol caused a significant increase in lung injury and inflammation at both time points. Inhalation of PMET540 aerosol caused a slight but significant increase in lung toxicity at 4 but not 30 d. Exposure to PMET731 aerosol had no effect on lung toxicity. Overall, the lung responses were in the order: PMET885>>PMET540>PMT731. Following a shorter exposure (25 mg/m3 x 4 h/d x 1d), lung burdens of metals from the different aerosols were determined by ICP-AES at 0, 1, 4 and 30 d post-exposure. Zn was cleared from the lungs at the fastest rate with complete clearance by 4 d post-exposure. Ni, Cr, and Mn had similar rates of clearance as nearly half of the deposited metal was cleared by 4 d. A small but significant percentage of each of these metals persisted in the lungs at 30 d. The pulmonary clearance of Fe was difficult to assess because of inherently high levels of Fe in control lungs. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/207614",
          "downloadURL": "https://data.cdc.gov/download/2se8-zi9r/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/207614",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1080-2024-0",
      "title": "Applied Force Alters Sensorineural and Peripheral Vascular Function in an Animal Model of Hand-Arm Vibration Syndrome (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1080-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1080-2024-0</a>.\nWorking with vibrating hand tools is associated with the development of hand-arm vibration syndrome (HAVS). HAVS is characterized by cold-induced vasospasms, finger blanching and changes in sensory function. Vibration plays a major role in the development of the symptoms that are characteristic of HAVS, however, the hands and fingers of worker using tools are also exposed to pressure applied as the workers grip tools. The pressure applied by gripping a tool might also affect blood flow and sensorineural function. Therefore, this study examined the effects of applied pressure [2 and 4 newtons (N)] on peripheral vascular and sensorineural function using a characterized rat tail model. The tails of rats were exposed to 0, 2 or 4N of applied force for 10 days. Blood flow (laser doppler) and sensitivity of the tail to pressure (Randall-Selitto pressure test) was measured on days 1, 5 and 10 of the exposure. The sensitivity of the tail nerves to electrical stimulation was measured on days 2 and 9. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Physical Effects Research Branch (PERB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-03-11",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Laboratories\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "Force\nLaboratory animals\nSensory perceptual processes\nHand-arm vibration syndrome\nHAVS\nHand tools"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207730",
        "title": "Applied Force Alters Sensorineural and Peripheral Vascular Function in an Animal Model of Hand-Arm Vibration Syndrome (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Boots T\nChapman P\nDong; Ren G.\nKrajnak; Kristine M.\nWarren C\nWaugh; Stacey\nWelcome; Daniel E.\nXu S\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/xm7q-e7uu",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207730",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Applied Force Alters Sensorineural and Peripheral Vascular Function in an Animal Model of Hand-Arm Vibration Syndrome (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1080-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1080-2024-0</a>.\nWorking with vibrating hand tools is associated with the development of hand-arm vibration syndrome (HAVS). HAVS is characterized by cold-induced vasospasms, finger blanching and changes in sensory function. Vibration plays a major role in the development of the symptoms that are characteristic of HAVS, however, the hands and fingers of worker using tools are also exposed to pressure applied as the workers grip tools. The pressure applied by gripping a tool might also affect blood flow and sensorineural function. Therefore, this study examined the effects of applied pressure [2 and 4 newtons (N)] on peripheral vascular and sensorineural function using a characterized rat tail model. The tails of rats were exposed to 0, 2 or 4N of applied force for 10 days. Blood flow (laser doppler) and sensitivity of the tail to pressure (Randall-Selitto pressure test) was measured on days 1, 5 and 10 of the exposure. The sensitivity of the tail nerves to electrical stimulation was measured on days 2 and 9. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/207730",
          "downloadURL": "https://data.cdc.gov/download/xm7q-e7uu/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/207730",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1081-2024-0",
      "title": "Anthropometry of Law Enforcement Officers (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1081-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1081-2024-0</a>.\nThe accommodation of worker anthropometric variability in the workplace and personal protective equipment (PPE) is key to safe and efficient completion of work tasks. Previously, the best data available was 46 years old, which has largely become outdated due to demographic changes. These data tables consist of 34 traditional semi-nude body dimensions without gear (e.g., chest depth, standing; foot breadth, horizontal, standing; hip circumference; stature; elbow rest height, sitting; and eye height, sitting) and 15 dimension measurements over clothing and with gear (e.g., abdominal extension depth, sitting; hip breadth, sitting; and should-grip length, sitting) of 756 male and 218 female Law Enforcement Officers (LEOs). For many LEOs, patrol vehicles are the workplace where they spend significant portions of their workday and PPE is vital gear to safeguard LEOs from the harm of assaults. Design improvements of vehicle console space, vehicle ingress/egress, and LEO body-worn equipment can result in reduced LEO fatigue, pain, or injury. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Division of Safety Research (DSR). Protective Technology Branch (PTB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-05-29",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Automobiles\nLaw Enforcement\nOccupational Health\nPersonal Protective Equipment\nSafety"
        }
      ],
      "keyword": [
        "Anthropometry\nPersonal protective equipment\nPPE\nBody measurements\nBody distribution\nLaw enforcement workers\nMotor vehicles"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207873",
        "title": "Anthropometry of Law Enforcement Officers (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/yu68-juzt",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207873",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Anthropometry of Law Enforcement Officers (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1081-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1081-2024-0</a>.\nThe accommodation of worker anthropometric variability in the workplace and personal protective equipment (PPE) is key to safe and efficient completion of work tasks. Previously, the best data available was 46 years old, which has largely become outdated due to demographic changes. These data tables consist of 34 traditional semi-nude body dimensions without gear (e.g., chest depth, standing; foot breadth, horizontal, standing; hip circumference; stature; elbow rest height, sitting; and eye height, sitting) and 15 dimension measurements over clothing and with gear (e.g., abdominal extension depth, sitting; hip breadth, sitting; and should-grip length, sitting) of 756 male and 218 female Law Enforcement Officers (LEOs). For many LEOs, patrol vehicles are the workplace where they spend significant portions of their workday and PPE is vital gear to safeguard LEOs from the harm of assaults. Design improvements of vehicle console space, vehicle ingress/egress, and LEO body-worn equipment can result in reduced LEO fatigue, pain, or injury. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/207873",
          "downloadURL": "https://data.cdc.gov/download/yu68-juzt/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/207873",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1082-2024-0",
      "title": "The Effects of Diesel Exhaust Inhalation on Cardiovascular Function (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1082-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1082-2024-0</a>.\nAir pollution serves as a major risk factor for the development of asthma, respiratory disease and heart disease. Diesel particulate and fumes are a major contributor to air pollution. Workers in a number of different occupations, including mining, oil and gas exploration and refining, and drivers of heavy equipment who are regularly exposed to diesel exhaust while on the job, and persons living in areas with high levels of air pollution, are at an increased risk for developing asthma, cardiovascular disease and certain cancers. Understanding the physiological and cellular effects of diesel exhaust inhalation on Various organs in the body is critical for identifying exposure-induced biological and physiological markers of disease or dysfunction. The experiments in this manuscript, focus on the effects of diesel exhaust (DE) inhalation on peripheral and cardiovascular function. In the current studies, we hypothesized that the development of cardiovascular disease in workers regularly exposed to DE is the result of the inhalation of volatile gases and particulate within the vapor that affect the cardiovascular system by altering physiological and cellular processes that affect peripheral vascular responsiveness to agents that cause blood vessels to constrict and vessels that cause blood vessels to dilate, blood pressure, cardiac output and kidney function (kidney function as it may contribute to changes in blood pressure). We also predicted that these changes in physiology would be associated with changes in the expression of proteins and the production of genes that play a role in regulating oxidative stress, responses to decreases in oxygen, and markers of kidney function that are associated with blood pressure. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Physical Effects Research Branch (PERB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-04-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Air Pollution\nAutomobiles\nBlood\nCardiovascular System\nOccupational Health\nParticulate Matter\nRespiratory System\nSafety"
        }
      ],
      "keyword": [
        "Diesel exhaust\nParticulates\nAir pollution\nMotor vehicles\nInhalation\nBlood vessels\nCardiac function\nOxidative stress\nKidney function\nBlood pressure"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207876",
        "title": "The Effects of Diesel Exhaust Inhalation on Cardiovascular Function (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/jgkt-w9bh",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/207876",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "The Effects of Diesel Exhaust Inhalation on Cardiovascular Function (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1082-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1082-2024-0</a>.\nAir pollution serves as a major risk factor for the development of asthma, respiratory disease and heart disease. Diesel particulate and fumes are a major contributor to air pollution. Workers in a number of different occupations, including mining, oil and gas exploration and refining, and drivers of heavy equipment who are regularly exposed to diesel exhaust while on the job, and persons living in areas with high levels of air pollution, are at an increased risk for developing asthma, cardiovascular disease and certain cancers. Understanding the physiological and cellular effects of diesel exhaust inhalation on Various organs in the body is critical for identifying exposure-induced biological and physiological markers of disease or dysfunction. The experiments in this manuscript, focus on the effects of diesel exhaust (DE) inhalation on peripheral and cardiovascular function. In the current studies, we hypothesized that the development of cardiovascular disease in workers regularly exposed to DE is the result of the inhalation of volatile gases and particulate within the vapor that affect the cardiovascular system by altering physiological and cellular processes that affect peripheral vascular responsiveness to agents that cause blood vessels to constrict and vessels that cause blood vessels to dilate, blood pressure, cardiac output and kidney function (kidney function as it may contribute to changes in blood pressure). We also predicted that these changes in physiology would be associated with changes in the expression of proteins and the production of genes that play a role in regulating oxidative stress, responses to decreases in oxygen, and markers of kidney function that are associated with blood pressure. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/207876",
          "downloadURL": "https://data.cdc.gov/download/jgkt-w9bh/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/207876",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1083-2024-0",
      "title": "Pulmonary Evaluation of Whole-Body Inhalation Exposure of Polycarbonate (PC) Filament 3D Printer Emissions in Rats (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1083-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1083-2024-0</a>.\nAdditive manufacturing (AM) is a broad manufacturing term that encompasses a range of processes that create objects by adding material through a computer-aided design model. Three-dimensional (3D) printing is a form of AM, which builds objects layer-by-layer deposition of feedstock material using a 3D printer machine and computer software. Fused filament fabrication (FFF, also known as Filament Freeform Fabrication) is one 3D printing process in which filaments are melted and extruded from a heated nozzle to deposit material. FFF is an emerging technology and one of the most popular additive manufacturing processes, especially for consumers and small manufacturers. Polycarbonate (PC) is a versatile material and PC filaments are widely used for fused filament fabrication 3D printing. PC filaments are often loaded with additives to achieve different properties of the print objects. These additives range from dyes, organometallic compounds, carbon nanomaterials, nanometal oxides to micrometer-scale particles such as copper, bronze, steel, tungsten, gold, and aluminum nitride (Vance et al., 2017). Several engineered nanomaterials were infused into PC filaments, such as silicon dioxide nanoparticles, titanium nitride nanoparticles (Vidakis et al., 2021), titanium carbide nanopowder (Vidakis et al., 2022a), aluminum nitride nanoparticles (Vidakis et al., 2022b), and carbon nanotubes (Potter et al., 2021). During heating, PC filament undergoes thermal degradation and releases fine particles (0.1 to 2.5 um) and incidental nanoparticles (d < 100 nm) as well as numerous volatile, and semi-volatile organic compounds that are likely derived from PC polymer and additives in the polymer (Azimi et al., 2016; Byrley et al., 2020; Gu et al., 2019; Stefaniak et al., 2017; Stefaniak et al., 2019; Alijagic et al., 2022; Tedla et al., 2022). These emissions could pose a potential hazard to human health. Currently, the potential health hazard of PC filament printing emissions has not been determined. A NIOSH research group used a condensation nuclei counter to study PC filament emission rates, and determined that the number-based particle emission rates from an industrial-scale material extrusion AM machine were around 2.2 x1011 number/minute and the total volatile organic compound emission rates were around 1.9 x 104 µg/minute (Stefaniak et al., 2019). The same group also found low levels of acetone, benzene, toluene, and m,p-xylene during PC filament printing processes. Potter et al showed that PC filament emissions contained bisphenol A (BPA), phenol, chlorobenzene, DEHP, and di-tert-butylphenol (Potter et al., 2019). In our previous studies on PC filament printer emission-induced cell toxicity (Farcas et al., 2019), emissions from a commercial PC 3D printer were generated in a chamber using a 3D printer and collected in cell culture medium. The number-based size distribution of the particles inside the chamber was between 140-170 nm and the mean particle sizes in cell culture medium were 201+/-18 nm. Analysis of elemental composition of particles collected in the cell culture medium found C, O, Ca, Na, Si, Ni, Cr, Fe, S, Al, and Cl. The organic compounds in the emission collection cell culture medium were BPA, p-isopropenylphenol, and phenol. At 24 h post-exposure, PC emissions were internalized in human small airway epithelial cells (SAEC) and induced a dose-dependent cytotoxicity, oxidative stress, apoptosis, necrosis, and increases in pro-inflammatory cytokine and chemokine production in SAEC (Farcas et al., 2019). The results demonstrated that PC filament 3D printing emissions induce a cellular toxicity in SAEC. Although cell-based in vitro toxicity analysis is increasingly applied to screen and rank chemicals for prioritizing toxicity studies, as well as to study toxic mechanisms, the toxicological significance of in vitro study-generated data in hazard and risk assessment is limited. In comparison with animal-based in vivo studies, in vitro cell studies can lack tissue-specific differentiated functions, physiological context with other cells and tissues, and biological concordance in metabolism of xenobiotic chemicals (Blaauboer, 2008). This study sought to evaluate PC filament printer emission-induced pulmonary and systemic toxicity in rats. A real-time 3D printer emission generation system was applied to simultaneously use three commercially available 3D PC filament printers to generate PC filament aerosols consisting of a mixture of particles and volatile organic compounds (VOCs) that were delivered to an animal exposure chamber. Male Sprague-Dawley rats were exposed to 3D PC filament emissions in a time-course via whole body inhalation. The rats were exposed to a single concentration (0.529 mg/m3 average, 40 nm mean diameter) of the emissions for 1, 4, 8, 15, and 30 days (4 h/day, 4 days/week), and were sacrificed at 24 h after the last exposure. Bronchoalveolar lavage (BAL) samples were collected to analyze inflammatory, fibrotic, and oxidative stress responses. Lung and nasal tissues underwent histopathological analysis to evaluate the emission-induced tissue damages. Several blood biomarkers were tested for the emission-induced systemic toxicity in rats. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-05-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nAnimals\nLung\nOccupational Health\nPrinting"
        },
        {
          "@type": "Concept",
          "prefLabel": "Three-Dimensional\nRespiratory System\nSafety\nVolatile Organic Compounds"
        }
      ],
      "keyword": [
        "Three dimensional printing\n3D printing\nUltrafine particulates\nVolatile organic compounds\nVOCs\nInhalation studies\nAerosols\nAnimal studies\nPulmonary effects\nAdditive manufacturing"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208005",
        "title": "Pulmonary Evaluation of Whole-Body Inhalation Exposure of Polycarbonate (PC) Filament 3D Printer Emissions in Rats (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/235m-gsry",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208005",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Pulmonary Evaluation of Whole-Body Inhalation Exposure of Polycarbonate (PC) Filament 3D Printer Emissions in Rats (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1083-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1083-2024-0</a>.\nAdditive manufacturing (AM) is a broad manufacturing term that encompasses a range of processes that create objects by adding material through a computer-aided design model. Three-dimensional (3D) printing is a form of AM, which builds objects layer-by-layer deposition of feedstock material using a 3D printer machine and computer software. Fused filament fabrication (FFF, also known as Filament Freeform Fabrication) is one 3D printing process in which filaments are melted and extruded from a heated nozzle to deposit material. FFF is an emerging technology and one of the most popular additive manufacturing processes, especially for consumers and small manufacturers. Polycarbonate (PC) is a versatile material and PC filaments are widely used for fused filament fabrication 3D printing. PC filaments are often loaded with additives to achieve different properties of the print objects. These additives range from dyes, organometallic compounds, carbon nanomaterials, nanometal oxides to micrometer-scale particles such as copper, bronze, steel, tungsten, gold, and aluminum nitride (Vance et al., 2017). Several engineered nanomaterials were infused into PC filaments, such as silicon dioxide nanoparticles, titanium nitride nanoparticles (Vidakis et al., 2021), titanium carbide nanopowder (Vidakis et al., 2022a), aluminum nitride nanoparticles (Vidakis et al., 2022b), and carbon nanotubes (Potter et al., 2021). During heating, PC filament undergoes thermal degradation and releases fine particles (0.1 to 2.5 um) and incidental nanoparticles (d < 100 nm) as well as numerous volatile, and semi-volatile organic compounds that are likely derived from PC polymer and additives in the polymer (Azimi et al., 2016; Byrley et al., 2020; Gu et al., 2019; Stefaniak et al., 2017; Stefaniak et al., 2019; Alijagic et al., 2022; Tedla et al., 2022). These emissions could pose a potential hazard to human health. Currently, the potential health hazard of PC filament printing emissions has not been determined. A NIOSH research group used a condensation nuclei counter to study PC filament emission rates, and determined that the number-based particle emission rates from an industrial-scale material extrusion AM machine were around 2.2 x1011 number/minute and the total volatile organic compound emission rates were around 1.9 x 104 µg/minute (Stefaniak et al., 2019). The same group also found low levels of acetone, benzene, toluene, and m,p-xylene during PC filament printing processes. Potter et al showed that PC filament emissions contained bisphenol A (BPA), phenol, chlorobenzene, DEHP, and di-tert-butylphenol (Potter et al., 2019). In our previous studies on PC filament printer emission-induced cell toxicity (Farcas et al., 2019), emissions from a commercial PC 3D printer were generated in a chamber using a 3D printer and collected in cell culture medium. The number-based size distribution of the particles inside the chamber was between 140-170 nm and the mean particle sizes in cell culture medium were 201+/-18 nm. Analysis of elemental composition of particles collected in the cell culture medium found C, O, Ca, Na, Si, Ni, Cr, Fe, S, Al, and Cl. The organic compounds in the emission collection cell culture medium were BPA, p-isopropenylphenol, and phenol. At 24 h post-exposure, PC emissions were internalized in human small airway epithelial cells (SAEC) and induced a dose-dependent cytotoxicity, oxidative stress, apoptosis, necrosis, and increases in pro-inflammatory cytokine and chemokine production in SAEC (Farcas et al., 2019). The results demonstrated that PC filament 3D printing emissions induce a cellular toxicity in SAEC. Although cell-based in vitro toxicity analysis is increasingly applied to screen and rank chemicals for prioritizing toxicity studies, as well as to study toxic mechanisms, the toxicological significance of in vitro study-generated data in hazard and risk assessment is limited. In comparison with animal-based in vivo studies, in vitro cell studies can lack tissue-specific differentiated functions, physiological context with other cells and tissues, and biological concordance in metabolism of xenobiotic chemicals (Blaauboer, 2008). This study sought to evaluate PC filament printer emission-induced pulmonary and systemic toxicity in rats. A real-time 3D printer emission generation system was applied to simultaneously use three commercially available 3D PC filament printers to generate PC filament aerosols consisting of a mixture of particles and volatile organic compounds (VOCs) that were delivered to an animal exposure chamber. Male Sprague-Dawley rats were exposed to 3D PC filament emissions in a time-course via whole body inhalation. The rats were exposed to a single concentration (0.529 mg/m3 average, 40 nm mean diameter) of the emissions for 1, 4, 8, 15, and 30 days (4 h/day, 4 days/week), and were sacrificed at 24 h after the last exposure. Bronchoalveolar lavage (BAL) samples were collected to analyze inflammatory, fibrotic, and oxidative stress responses. Lung and nasal tissues underwent histopathological analysis to evaluate the emission-induced tissue damages. Several blood biomarkers were tested for the emission-induced systemic toxicity in rats. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208005",
          "downloadURL": "https://data.cdc.gov/download/235m-gsry/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208005",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1084-2024-0",
      "title": "MicroRNA-Mediated Krüppel-Like Factor 4 Upregulation Induces Alternatively Activated Macrophage-Associated Markers and Chemokines Transcription in 4,4′-Methylene Diphenyl Diisocyanate Exposed Macrophages (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1084-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1084-2024-0</a>.\nOccupational exposure to 4,4'-methylene diphenyl diisocyanate (MDI), the most widely used monomeric diisocyanate (dNCO), is associated with occupational asthma (OA) development. Recruitment of immune cells to the lung microenvironment via secreted chemokines by alveolar macrophages may play a role during asthma pathogenesis. Our prior study identified that alternatively activated (M2) macrophage-associated markers and chemokines were induced by MDI/MDI-Glutathione (GSH)-mediated Krüppel-Like Factor 4 (KLF4) upregulation in macrophages and induced chemotaxis abilities to naïve T-cells and eosinophils; however, the underlying molecular mechanism(s) by which MDI upregulated KLF4 expression is unclear. Previously, we identified that two microRNAs (miRs) including hsa-miR-206-3p and hsa-miR-381-3p were significantly downregulated in MDI-GSH-exposed THP-1 macrophages. In silico analysis revealed that one hsa-miR-206-3p and two hsa-miR-381-3p predicted binding sites exist on the 3' untranslated region (UTR) of KLF4 transcripts. We hypothesize that MDI/MDI-GSH exposure induces M2 macrophage-associated markers and chemokines through hsa-miR-206-3p/hsa-miR-381-3p mediated KLF4 upregulation in macrophages. The first aim of this study was to examine whether hsa-miR-206-3p/hsa-miR-381-3p regulates KLF4 expression in THP-1 macrophages through a posttranscriptional regulation mechanism. Our second aim was to determine whether hsa-miR-206-3p/hsa-miR-381-3p participates in KLF4-regulated M2 macrophage-associated markers and chemokines after MDI-exposure. After identifying the role of endogenous hsa-miR-206-3p/hsa-miR-381-3p in regulation of KLF4 transcription factor after MDI-exposure, we investigated the role of hsa-miR-206-3p/hsa-miR-381-3p in regulation of M2 macrophage-associated markers and chemokines' expressions in relation to the exposure to MDI. [Description provided by NIOSH]",
      "contactPoint": [
        {
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      "issued": "2024-06-01",
      "theme": [
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          "@type": "Concept",
          "prefLabel": "Asthma"
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        }
      ],
      "keyword": [
        "4",
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          "title": "MicroRNA-Mediated Krüppel-Like Factor 4 Upregulation Induces Alternatively Activated Macrophage-Associated Markers and Chemokines Transcription in 4,4′-Methylene Diphenyl Diisocyanate Exposed Macrophages (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1084-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1084-2024-0</a>.\nOccupational exposure to 4,4'-methylene diphenyl diisocyanate (MDI), the most widely used monomeric diisocyanate (dNCO), is associated with occupational asthma (OA) development. Recruitment of immune cells to the lung microenvironment via secreted chemokines by alveolar macrophages may play a role during asthma pathogenesis. Our prior study identified that alternatively activated (M2) macrophage-associated markers and chemokines were induced by MDI/MDI-Glutathione (GSH)-mediated Krüppel-Like Factor 4 (KLF4) upregulation in macrophages and induced chemotaxis abilities to naïve T-cells and eosinophils; however, the underlying molecular mechanism(s) by which MDI upregulated KLF4 expression is unclear. Previously, we identified that two microRNAs (miRs) including hsa-miR-206-3p and hsa-miR-381-3p were significantly downregulated in MDI-GSH-exposed THP-1 macrophages. In silico analysis revealed that one hsa-miR-206-3p and two hsa-miR-381-3p predicted binding sites exist on the 3' untranslated region (UTR) of KLF4 transcripts. We hypothesize that MDI/MDI-GSH exposure induces M2 macrophage-associated markers and chemokines through hsa-miR-206-3p/hsa-miR-381-3p mediated KLF4 upregulation in macrophages. The first aim of this study was to examine whether hsa-miR-206-3p/hsa-miR-381-3p regulates KLF4 expression in THP-1 macrophages through a posttranscriptional regulation mechanism. Our second aim was to determine whether hsa-miR-206-3p/hsa-miR-381-3p participates in KLF4-regulated M2 macrophage-associated markers and chemokines after MDI-exposure. After identifying the role of endogenous hsa-miR-206-3p/hsa-miR-381-3p in regulation of KLF4 transcription factor after MDI-exposure, we investigated the role of hsa-miR-206-3p/hsa-miR-381-3p in regulation of M2 macrophage-associated markers and chemokines' expressions in relation to the exposure to MDI. [Description provided by NIOSH]",
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    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1085-2024-0",
      "title": "Exposure to Emissions Generated by 3-Dimensional Printing with Polycarbonate Affects Vascular Morphology and Expression of Markers of Oxidative Stress and Vascular Dysfunction in Cardiac Tissue (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1085-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1085-2024-0</a>.\nThree-dimensional (3D) printing is increasingly being used in manufacturing settings, homes and schools. Fused deposition modeling (FDM) 3D printers are the most widely used systems with standard thermoplastics such as acrylonitrile butadiene styrene (ABS), polylactic acid and polycarbonate (PC) commonly used in the manufacturing processes. Heating of the thermoplastic generates and releases particulates and fumes. Emission constituents frequently measured include aldehydes, benzene, toluene, ethylbenzene, and xylenes. Inhalation of the emitted particulates and/or the fumes, that contain bisphenol A (BPA) may pose health problems to users of these systems as well as bystanders. The goal of the current study was to examine the effects of inhalation of PC-emissions generated during 3D-printing. PC-emissions can include bisphenol A (BPA). Bisphenols are known endocrine and metabolic disruptors (i.e., they interfere with actions of steroid and thyroid hormones) and have been shown to have significant effects on a number of physiological systems including the endocrine and cardiovascular systems. Because steroid hormones have major effects on cardiovascular function, it is possible that inhalation of PC particulate and/or BPA impact cardiovascular function. To begin to understand how inhalation of PC-emissions generated during 3D printing might affect the cardiovascular system, the current study examined the effects of inhaling PC-emissions after 1, 4, 8, 15 and 30d of exposure, on peripheral vascular responses to vaso-modulating agents, on cardiac morphology and on the expression of proteins and transcripts that are markers of inflammation, oxidative stress and cardiovascular dysfunction. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Physical Effects Research Branch (PERB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
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        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
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        ]
      },
      "accessRights": "public",
      "issued": "2024-06-07",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nHistology\nOccupational Health\nPlastics\nPrinting"
        },
        {
          "@type": "Concept",
          "prefLabel": "Three-Dimensional\nRespiratory System\nSafety"
        }
      ],
      "keyword": [
        "Three dimensional printing\n3D printing\nEmission sources\nCardiovascular function\nOxidative stress\nInhalation studies\nPlastics\nEndocrine function\nAnimal studies\nHistology"
      ],
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        {
          "@type": "Location",
          "prefLabel": "Maryland\nOSHA Region 3\nWest Virginia"
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      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208036",
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          "title": "Exposure to Emissions Generated by 3-Dimensional Printing with Polycarbonate Affects Vascular Morphology and Expression of Markers of Oxidative Stress and Vascular Dysfunction in Cardiac Tissue (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1085-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1085-2024-0</a>.\nThree-dimensional (3D) printing is increasingly being used in manufacturing settings, homes and schools. Fused deposition modeling (FDM) 3D printers are the most widely used systems with standard thermoplastics such as acrylonitrile butadiene styrene (ABS), polylactic acid and polycarbonate (PC) commonly used in the manufacturing processes. Heating of the thermoplastic generates and releases particulates and fumes. Emission constituents frequently measured include aldehydes, benzene, toluene, ethylbenzene, and xylenes. Inhalation of the emitted particulates and/or the fumes, that contain bisphenol A (BPA) may pose health problems to users of these systems as well as bystanders. The goal of the current study was to examine the effects of inhalation of PC-emissions generated during 3D-printing. PC-emissions can include bisphenol A (BPA). Bisphenols are known endocrine and metabolic disruptors (i.e., they interfere with actions of steroid and thyroid hormones) and have been shown to have significant effects on a number of physiological systems including the endocrine and cardiovascular systems. Because steroid hormones have major effects on cardiovascular function, it is possible that inhalation of PC particulate and/or BPA impact cardiovascular function. To begin to understand how inhalation of PC-emissions generated during 3D printing might affect the cardiovascular system, the current study examined the effects of inhaling PC-emissions after 1, 4, 8, 15 and 30d of exposure, on peripheral vascular responses to vaso-modulating agents, on cardiac morphology and on the expression of proteins and transcripts that are markers of inflammation, oxidative stress and cardiovascular dysfunction. [Description provided by NIOSH]",
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      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1086-2024-0",
      "title": "Potent Lung Tumor Promotion by Inhaled MWCNT (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1086-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1086-2024-0</a>.\nIn the lung, carcinogenesis is a multi-stage process that includes initiation by a genotoxic agent, promotion that expands the population of cells with damaged DNA to form a tumor, and progression from benign to malignant neoplasms. We have previously shown that Mitsui-7, a long and rigid multi-walled carbon nanotube (MWCNT), promotes pulmonary carcinogenesis in a mouse model. To investigate the potential exposure threshold and dose-response for tumor promotion by this MWCNT, 3-methylcholanthrene (MC) initiated (10 µg/g, i.p., once) or vehicle (corn oil) treated B6C3F1 mice were exposed by inhalation to filtered air or MWCNT (5 mg/m3) for 5 hours/day for 0, 2, 5, or 10 days and were followed for 17 months post-exposure for evidence of lung tumors. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
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      ],
      "publisher": {
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        "name": "National Institute for Occupational Safety and Health (NIOSH)",
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        ]
      },
      "accessRights": "public",
      "issued": "2024-05-10",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nCarcinogens\nLung\nLung Diseases\nNeoplasms\nOccupational Health\nRespiratory System\nRespiratory Tract Diseases\nSafety"
        }
      ],
      "keyword": [
        "MWCNT\nMulti-walled carbon nanotubes\nCarcinogenesis\nDose response\nInhalation\nTumorigenesis\nLung cancer\nAnimal studies"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "North Carolina\nOSHA Region 3\nOSHA Region 4\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208064",
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        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
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      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
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          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/xd2k-siai",
          "type": "Data.CDC.gov dataset identifier"
        }
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      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208064",
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      "distribution": [
        {
          "@type": "Distribution",
          "title": "Potent Lung Tumor Promotion by Inhaled MWCNT (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1086-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1086-2024-0</a>.\nIn the lung, carcinogenesis is a multi-stage process that includes initiation by a genotoxic agent, promotion that expands the population of cells with damaged DNA to form a tumor, and progression from benign to malignant neoplasms. We have previously shown that Mitsui-7, a long and rigid multi-walled carbon nanotube (MWCNT), promotes pulmonary carcinogenesis in a mouse model. To investigate the potential exposure threshold and dose-response for tumor promotion by this MWCNT, 3-methylcholanthrene (MC) initiated (10 µg/g, i.p., once) or vehicle (corn oil) treated B6C3F1 mice were exposed by inhalation to filtered air or MWCNT (5 mg/m3) for 5 hours/day for 0, 2, 5, or 10 days and were followed for 17 months post-exposure for evidence of lung tumors. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208064",
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            "@type": "Document",
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    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1087-2024-0",
      "title": "Testing the Shock Protection Performance of Type I Construction Helmets Using Impactors of Different Masses (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1087-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1087-2024-0</a>.\nTop impacts are considered essential tests to evaluate the shock absorption performance of commonly used type I industrial helmets. Currently, there are two major test standards that are widely applied in helmet industry: ANSI/ISEA Z89.1 and EN397. Since drop impacts are performed using different impactors and at drop heights, results obtained using different test standards are not directly comparable. The purpose of the current study is to evaluate and compare the helmet impact test results obtained using these two frequently used helmet test standards. A representative basic Type I construction helmet model was selected for the study. A total of 19 drop impact tests were performed at different drop heights and with two different impactors (3.6 kg and 5.0 kg). Group (a) contains 10 drop impacts performed using the 3.6 kg impactor at drop heights from 0.31 m to 1.93 m. Group (b) contains 9 drop impacts performed using the 5.0 kg impactor at drop heights from 0.22 m to 1.32 m. Each of the impact trials was replicated four times. Relationships between the peak impact force and the drop height for these two test groups were analyzed and compared. When the helmets were tested with potential impact energy smaller than critical values, a consistent trend for the relationship of peak impact force as a function of the potential impact energy was obtained. Our results show that our previously proposed quantitative evaluation approach for industrial helmets' shock absorption performance can be used with either the ANSI/ISEA Z89.1 or EN395 standard to quantify industrial helmets' shock absorption performance. Furthermore, our results illustrated that the peak impact force would not be a reliable parameter to evaluate the helmets' safety margin. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Division of Safety Research (DSR). Protective Technology Branch (PTB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
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        "@type": "Organization",
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        ]
      },
      "accessRights": "public",
      "issued": "2024-07-26",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Construction Industry\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "Head protective equipment\nConstruction industry\nSafety helmets\nInjury prevention\nEquipment testing\nTraumatic brain injury\nTBI"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
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        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208237",
        "title": "Testing the Shock Protection Performance of Type I Construction Helmets Using Impactors of Different Masses (Dataset)"
      },
      "rightsHolder": [
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          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
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      ],
      "creator": {
        "@type": "Agent",
        "name": "Pan; Christopher S.\nRonaghi M\nWimer BM\nWu; John Z.\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
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          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/338g-fx72",
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      "distribution": [
        {
          "@type": "Distribution",
          "title": "Testing the Shock Protection Performance of Type I Construction Helmets Using Impactors of Different Masses (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1087-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1087-2024-0</a>.\nTop impacts are considered essential tests to evaluate the shock absorption performance of commonly used type I industrial helmets. Currently, there are two major test standards that are widely applied in helmet industry: ANSI/ISEA Z89.1 and EN397. Since drop impacts are performed using different impactors and at drop heights, results obtained using different test standards are not directly comparable. The purpose of the current study is to evaluate and compare the helmet impact test results obtained using these two frequently used helmet test standards. A representative basic Type I construction helmet model was selected for the study. A total of 19 drop impact tests were performed at different drop heights and with two different impactors (3.6 kg and 5.0 kg). Group (a) contains 10 drop impacts performed using the 3.6 kg impactor at drop heights from 0.31 m to 1.93 m. Group (b) contains 9 drop impacts performed using the 5.0 kg impactor at drop heights from 0.22 m to 1.32 m. Each of the impact trials was replicated four times. Relationships between the peak impact force and the drop height for these two test groups were analyzed and compared. When the helmets were tested with potential impact energy smaller than critical values, a consistent trend for the relationship of peak impact force as a function of the potential impact energy was obtained. Our results show that our previously proposed quantitative evaluation approach for industrial helmets' shock absorption performance can be used with either the ANSI/ISEA Z89.1 or EN395 standard to quantify industrial helmets' shock absorption performance. Furthermore, our results illustrated that the peak impact force would not be a reliable parameter to evaluate the helmets' safety margin. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208237",
          "downloadURL": "https://data.cdc.gov/download/338g-fx72/application%2Fx-zip-compressed",
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          "license": "https://creativecommons.org/public-domain/",
          "rights": [
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          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208237",
            "title": "Metadata on HTML Repository Page"
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1088-2024-0",
      "title": "Persistence of SARS-CoV-2 on N95 Filtering Facepiece Respirators: Implications for Reuse (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1088-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1088-2024-0</a>.\nIn response to the shortage of N95® filtering facepiece respirators (FFRs) for healthcare workers during the COVID-19 pandemic, the Centers for Disease Control and Prevention (CDC) issued strategies for extended use and limited reuse of N95 FFRs to conserve supply. Previously worn N95 FFRs can serve as a source of pathogens, which can be transferred to the wearer while doffing and donning a respirator when practicing reuse. To reduce the risk of self-contamination when donning and doffing reused FFRs, the CDC suggested storing FFRs for five days between uses to allow for the decay of viable pathogens including SARS-CoV-2. This study assessed the persistence of the SARS-CoV-2 strain USA-WA1/2020 on N95 FFRs under controlled storage conditions for up to five days to inform the CDC guidance. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Personal Protective Technology Laboratory (NPPTL). Research Branch (RB)",
          "hasEmail": "mailto:ODAdmin@cdc.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
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            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-07-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Communicable Diseases\nHealth Personnel\nOccupational Health\nPersonal Protective Equipment\nRespiratory Protective Devices\nSafety"
        }
      ],
      "keyword": [
        "COVID-19\nN95 filtering facepiece respirators\nHealth care workers\nPersonal protective equipment\nPPE\nSARS-CoV-2\nPathogens\nDecontamination"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Ohio\nOSHA Region 3\nOSHA Region 5\nPennsylvania"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208240",
        "title": "Persistence of SARS-CoV-2 on N95 Filtering Facepiece Respirators: Implications for Reuse (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
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      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Choi YW\nFisher EM\nJordan TL\nKuhlman MR\nSunderman M\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/8ve6-tiah",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208240",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Persistence of SARS-CoV-2 on N95 Filtering Facepiece Respirators: Implications for Reuse (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1088-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1088-2024-0</a>.\nIn response to the shortage of N95® filtering facepiece respirators (FFRs) for healthcare workers during the COVID-19 pandemic, the Centers for Disease Control and Prevention (CDC) issued strategies for extended use and limited reuse of N95 FFRs to conserve supply. Previously worn N95 FFRs can serve as a source of pathogens, which can be transferred to the wearer while doffing and donning a respirator when practicing reuse. To reduce the risk of self-contamination when donning and doffing reused FFRs, the CDC suggested storing FFRs for five days between uses to allow for the decay of viable pathogens including SARS-CoV-2. This study assessed the persistence of the SARS-CoV-2 strain USA-WA1/2020 on N95 FFRs under controlled storage conditions for up to five days to inform the CDC guidance. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208240",
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            "@type": "Document",
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          }
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1089-2024-0",
      "title": "Systemic and Immunotoxicity Induced by Topical Application of Perfluorohexane Sulfonic Acid (PFHxS) in a Murine Model (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1089-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1089-2024-0</a>.\nPer- and polyfluoroalkyl substances (PFAS) are a large group of stable man-made surfactants that are incorporated into numerous products for their water and oil resistance and have been associated with adverse health effects. The present study evaluated the systemic and immunotoxicity of sub-chronic 28- or 10-day dermal exposure of PFHxS (0.625-5% or 15.63-125 mg/kg/dose) in a murine model. Elevated levels of PFHxS were detected in the serum and urine, suggesting that absorption is occurring through the dermal route. Liver weight (% body) significantly increased and spleen weight (% body) significantly deceased with PFHxS exposure supported by histopathological changes. Additionally, PFHxS significantly reduced the humoral immune response and altered immune subsets in the spleen, suggesting immunosuppression. Gene expression changes were observed in the liver, skin, and spleen with genes involved in fatty acid metabolism, necrosis, and inflammation. Immune-cell phenotyping identified significant decreases in B-cells, NK cells, and CD11b+ cells in the spleen along with increases in CD4+ and CD8+ T-cells, NK cells, and neutrophils in the skin. These findings support dermal PFHxS-induced liver damage and immune suppression. These data support PFHxS absorption through the skin and demonstrate immunotoxicity via this exposure route, raising concern about prompting the need for further investigation. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
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        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
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            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-08-02",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Immune System\nLaboratories\nOccupational Health\nSafety\nSkin\nToxicology"
        }
      ],
      "keyword": [
        "Laboratory animals\nImmune reaction\nDermal exposures\nGene expression\nHistopathology\nLiver damage\nToxicology\nPer- and polyfluoroalkyl substances\nPFAS"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208256",
        "title": "Systemic and Immunotoxicity Induced by Topical Application of Perfluorohexane Sulfonic Acid (PFHxS) in a Murine Model (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
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      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/pgaa-i327",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208256",
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      "distribution": [
        {
          "@type": "Distribution",
          "title": "Systemic and Immunotoxicity Induced by Topical Application of Perfluorohexane Sulfonic Acid (PFHxS) in a Murine Model (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1089-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1089-2024-0</a>.\nPer- and polyfluoroalkyl substances (PFAS) are a large group of stable man-made surfactants that are incorporated into numerous products for their water and oil resistance and have been associated with adverse health effects. The present study evaluated the systemic and immunotoxicity of sub-chronic 28- or 10-day dermal exposure of PFHxS (0.625-5% or 15.63-125 mg/kg/dose) in a murine model. Elevated levels of PFHxS were detected in the serum and urine, suggesting that absorption is occurring through the dermal route. Liver weight (% body) significantly increased and spleen weight (% body) significantly deceased with PFHxS exposure supported by histopathological changes. Additionally, PFHxS significantly reduced the humoral immune response and altered immune subsets in the spleen, suggesting immunosuppression. Gene expression changes were observed in the liver, skin, and spleen with genes involved in fatty acid metabolism, necrosis, and inflammation. Immune-cell phenotyping identified significant decreases in B-cells, NK cells, and CD11b+ cells in the spleen along with increases in CD4+ and CD8+ T-cells, NK cells, and neutrophils in the skin. These findings support dermal PFHxS-induced liver damage and immune suppression. These data support PFHxS absorption through the skin and demonstrate immunotoxicity via this exposure route, raising concern about prompting the need for further investigation. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208256",
          "downloadURL": "https://data.cdc.gov/download/pgaa-i327/application%2Fx-zip-compressed",
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          "license": "https://creativecommons.org/public-domain/",
          "rights": [
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1090-2024-0",
      "title": "Quantification of Mechanical Behavior of Rat Tail Under Compression (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1090-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1090-2024-0</a>.\nThe development of vibration-induced finger disorders is likely associated with combined static and dynamic responses of the fingers to vibration exposure. To study the mechanisms of these disorders, a new rat-tail model has been established to mimic the finger pressure and vibration exposures. However, the mechanical behavior of the tail during compression needs to be better understood to improve the model and its applications. The purpose of the current study was to investigate the static and time-dependent force responses of the rat tail during compression. Compression tests were conducted on male Sprague-Dawley cadaver rat tails using a micromechanical testing system at three deformation velocities and three deformation magnitudes. Contact-width, and the time-histories of force and deformation were measured. Additionally, force-relaxation tests were conducted and a Prony series was used to model the force-relaxation behavior of the tail. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Physical Effects Research Branch (PERB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-09-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Biomechanical Phenomena\nLaboratories\nOccupational Health\nSafety\nVibration"
        }
      ],
      "keyword": [
        "Vibration exposure\nLaboratory animals\nMechanical properties\nForce\nBiomechanical modeling\nBiomedical engineering"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208364",
        "title": "Quantification of Mechanical Behavior of Rat Tail Under Compression (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/xmn2-yrqr",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208364",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Quantification of Mechanical Behavior of Rat Tail Under Compression (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1090-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1090-2024-0</a>.\nThe development of vibration-induced finger disorders is likely associated with combined static and dynamic responses of the fingers to vibration exposure. To study the mechanisms of these disorders, a new rat-tail model has been established to mimic the finger pressure and vibration exposures. However, the mechanical behavior of the tail during compression needs to be better understood to improve the model and its applications. The purpose of the current study was to investigate the static and time-dependent force responses of the rat tail during compression. Compression tests were conducted on male Sprague-Dawley cadaver rat tails using a micromechanical testing system at three deformation velocities and three deformation magnitudes. Contact-width, and the time-histories of force and deformation were measured. Additionally, force-relaxation tests were conducted and a Prony series was used to model the force-relaxation behavior of the tail. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208364",
          "downloadURL": "https://data.cdc.gov/download/xmn2-yrqr/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208364",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1091-2024-0",
      "title": "Compact, High-Flow, Water-Based, Turbulent-Mixing, Condensation Aerosol Concentrator for Collection of Spot Samples (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1091-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1091-2024-0</a>.\nA new high-flow, compact aerosol concentrator, using rapid, turbulent mixing to grow aerosol particles into droplets for dry spot sample collection, has been designed and tested. The \"TCAC (Turbulent-mixing, Condensation Aerosol Concentrator)\" is composed of a saturator for generating hot vapor, a mixing section where the hot vapor mixes with the cold aerosol flow, a growth tube where condensational droplet growth primarily occurs, and a converging nozzle that focuses the droplets into a beam. The prototype concentrator utilizes an aerosol sample flow rate of 4 L min-1. The TCAC was optimized by varying the operating conditions, such as relative humidity of the aerosol flow, mixing flow ratio, vapor temperature, and impaction characteristics. The results showed that particles with a diameter ≥ 25 nm can be grown to a droplet diameter > 1400 nm with near 100 % efficiency. Complete activation and growth were observed at relative humidity ≥ 25 % of the aerosol sample flow. A consistent spot sample with a diameter of D90 = 1.4 mm (the diameter of a circle containing 90 % of the deposited particles) was obtained regardless of the aerosol particle diameter (dp = 20 - 1900 nm). For fiber counting applications using phase contrast microscopy, the TCAC can reduce the sampling time, or counting uncertainty, by two to three orders of magnitude, compared to the 25-mm-filter collection. The study shows that the proposed mixing-flow scheme enables a compact spot sample collector suitable for handheld or portable applications, while still allowing for high flow rates. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-10-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nChemistry\nOccupational Health\nParticulate Matter\nSafety\nSolvents"
        }
      ],
      "keyword": [
        "Aerosol particles\nChemical analysis\nSampling methods\nAerosol sampling\nParticle size\nVapors"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Chicago Region [OSHA]\nOhio"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208440",
        "title": "Compact, High-Flow, Water-Based, Turbulent-Mixing, Condensation Aerosol Concentrator for Collection of Spot Samples (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/wa6b-urfv",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208440",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Compact, High-Flow, Water-Based, Turbulent-Mixing, Condensation Aerosol Concentrator for Collection of Spot Samples (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1091-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1091-2024-0</a>.\nA new high-flow, compact aerosol concentrator, using rapid, turbulent mixing to grow aerosol particles into droplets for dry spot sample collection, has been designed and tested. The \"TCAC (Turbulent-mixing, Condensation Aerosol Concentrator)\" is composed of a saturator for generating hot vapor, a mixing section where the hot vapor mixes with the cold aerosol flow, a growth tube where condensational droplet growth primarily occurs, and a converging nozzle that focuses the droplets into a beam. The prototype concentrator utilizes an aerosol sample flow rate of 4 L min-1. The TCAC was optimized by varying the operating conditions, such as relative humidity of the aerosol flow, mixing flow ratio, vapor temperature, and impaction characteristics. The results showed that particles with a diameter ≥ 25 nm can be grown to a droplet diameter > 1400 nm with near 100 % efficiency. Complete activation and growth were observed at relative humidity ≥ 25 % of the aerosol sample flow. A consistent spot sample with a diameter of D90 = 1.4 mm (the diameter of a circle containing 90 % of the deposited particles) was obtained regardless of the aerosol particle diameter (dp = 20 - 1900 nm). For fiber counting applications using phase contrast microscopy, the TCAC can reduce the sampling time, or counting uncertainty, by two to three orders of magnitude, compared to the 25-mm-filter collection. The study shows that the proposed mixing-flow scheme enables a compact spot sample collector suitable for handheld or portable applications, while still allowing for high flow rates. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208440",
          "downloadURL": "https://data.cdc.gov/download/wa6b-urfv/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1092-2024-0",
      "title": "Evaluation of a Passive Back-Support Exoskeleton During In-Bed Patient Handling Tasks (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1092-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1092-2024-0</a>.\nThe objective of this study was to evaluate the effect of a back-support exoskeleton (Laevo V2.5) on the trunk and hip angles, low back muscle activity, and heart rate during in-bed patient handling tasks. Eight participants (5 males and 3 females) performed four different in-bed patient handling tasks, including sitting to lying, repositioning toward the caregiver, turning toward the caregiver, and turning away from the caregiver. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-10-10",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Biomechanical Phenomena\nErgonomics\nHealth Personnel\nMusculoskeletal Diseases\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "Health care workers\nPatient handling\nLifting\nErgonomics\nBiomechanics\nExoskeletons\nMusculoskeletal disorders\nMSD"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Chicago Region [OSHA]\nIllinois\nPhiladelphia Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208455",
        "title": "Evaluation of a Passive Back-Support Exoskeleton During In-Bed Patient Handling Tasks (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/kgid-f54m",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208455",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Evaluation of a Passive Back-Support Exoskeleton During In-Bed Patient Handling Tasks (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1092-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1092-2024-0</a>.\nThe objective of this study was to evaluate the effect of a back-support exoskeleton (Laevo V2.5) on the trunk and hip angles, low back muscle activity, and heart rate during in-bed patient handling tasks. Eight participants (5 males and 3 females) performed four different in-bed patient handling tasks, including sitting to lying, repositioning toward the caregiver, turning toward the caregiver, and turning away from the caregiver. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208455",
          "downloadURL": "https://data.cdc.gov/download/kgid-f54m/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208455",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1093-2024-0",
      "title": "Systemic and Immunotoxicity Induced by Topical Application of Perfluoroheptane Sulfonic Acid (PFHpS) or Perfluorooctane Sulfonic Acid (PFOS) in a Murine Model (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1093-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1093-2024-0</a>.\nPer- and polyfluoroalkyl substances (PFAS) are a large group of synthetic man-made surfactants of over 12,000 compounds that are incorporated into numerous products for their chemical and physical properties. Numerous PFAS have been associated with adverse health effects. Although there is a high potential for dermal exposure, these studies are lacking. The present study evaluated the systemic and immunotoxicity of sub-chronic 28- or 10-day dermal exposure, respectively, to of PFHpS (0.3125-2.5% or 7.82-62.5 mg/kg/dose) or PFOS (0.5% or 12.5 mg/kg/dose) in a murine model. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-10-10",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Immune System\nLaboratories\nLiver\nOccupational Health\nSafety\nSkin\nSurface-Active Agents"
        }
      ],
      "keyword": [
        "Surfactants\nLaboratory animals\nImmune reaction\nDermal exposures\nHepatotoxicity\nLiver damage\nPer- and polyfluoroalkyl substances\nPFAS"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Philadelphia Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208460",
        "title": "Systemic and Immunotoxicity Induced by Topical Application of Perfluoroheptane Sulfonic Acid (PFHpS) or Perfluorooctane Sulfonic Acid (PFOS) in a Murine Model (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/xfk2-6xmb",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208460",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Systemic and Immunotoxicity Induced by Topical Application of Perfluoroheptane Sulfonic Acid (PFHpS) or Perfluorooctane Sulfonic Acid (PFOS) in a Murine Model (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1093-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1093-2024-0</a>.\nPer- and polyfluoroalkyl substances (PFAS) are a large group of synthetic man-made surfactants of over 12,000 compounds that are incorporated into numerous products for their chemical and physical properties. Numerous PFAS have been associated with adverse health effects. Although there is a high potential for dermal exposure, these studies are lacking. The present study evaluated the systemic and immunotoxicity of sub-chronic 28- or 10-day dermal exposure, respectively, to of PFHpS (0.3125-2.5% or 7.82-62.5 mg/kg/dose) or PFOS (0.5% or 12.5 mg/kg/dose) in a murine model. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208460",
          "downloadURL": "https://data.cdc.gov/download/xfk2-6xmb/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208460",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1094-2024-0",
      "title": "Factors Affecting Chlorinated Product Formation from Sodium Hypochlorite Bleach and Limonene Reactions in the Gas Phase (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1094-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1094-2024-0</a>.\nThe application of sodium hypochlorite bleach to surfaces causes the release of chlorine (Cl2) and hypochlorous acid (HOCl) into the gas phase where reactions with organic compounds can occur. The purpose of the current study was to investigate the reaction products generated from gas-phase bleach oxidants and limonene, a fragrance compound commonly found in indoor air due to personal care products and cleaning products. Gas-phase reactions were prepared in Teflon chambers housing HOCl, Cl2, and limonene. The resulting chemical products were collected and analyzed using gas-phase preconcentration following by gas chromatography and high-resolution mass spectrometry. Several chlorinated products were detected including a limonene chlorohydrin and limonene species containing one, two, and three chlorines. Product concentration and yields were estimated for the most abundant products, and greater than 80% of the transformed limonene was represented in the detected products. Temporal sampling of the reactions allowed time courses to be plotted for limonene transformation and chlorinated limonene product generation under different conditions including the treatments of HOCl/Cl2, Cl2 only, high vs. low relative humidity, and +/- ozone. These experiments provide additional insight into the chemical transformations initiated by sodium hypochlorite bleach oxidants in the gas phase which may be of interest to human health. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Chemical and Biological Monitoring Branch (CBMB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-10-21",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Chemistry\nDisinfectants\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "Chlorine compounds\nCleaning compounds\nLimonene\nIndoor environments\nGas chromatography\nMass spectrometry\nDisinfectants\nChemical reactions"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Philadelphia Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208478",
        "title": "Factors Affecting Chlorinated Product Formation from Sodium Hypochlorite Bleach and Limonene Reactions in the Gas Phase (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/9ziv-gyv9",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208478",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Factors Affecting Chlorinated Product Formation from Sodium Hypochlorite Bleach and Limonene Reactions in the Gas Phase (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1094-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1094-2024-0</a>.\nThe application of sodium hypochlorite bleach to surfaces causes the release of chlorine (Cl2) and hypochlorous acid (HOCl) into the gas phase where reactions with organic compounds can occur. The purpose of the current study was to investigate the reaction products generated from gas-phase bleach oxidants and limonene, a fragrance compound commonly found in indoor air due to personal care products and cleaning products. Gas-phase reactions were prepared in Teflon chambers housing HOCl, Cl2, and limonene. The resulting chemical products were collected and analyzed using gas-phase preconcentration following by gas chromatography and high-resolution mass spectrometry. Several chlorinated products were detected including a limonene chlorohydrin and limonene species containing one, two, and three chlorines. Product concentration and yields were estimated for the most abundant products, and greater than 80% of the transformed limonene was represented in the detected products. Temporal sampling of the reactions allowed time courses to be plotted for limonene transformation and chlorinated limonene product generation under different conditions including the treatments of HOCl/Cl2, Cl2 only, high vs. low relative humidity, and +/- ozone. These experiments provide additional insight into the chemical transformations initiated by sodium hypochlorite bleach oxidants in the gas phase which may be of interest to human health. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208478",
          "downloadURL": "https://data.cdc.gov/download/9ziv-gyv9/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208478",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1095-2024-0",
      "title": "Circular RNA hsa_circ_0008726 Targets the Hsa-miR-206-3p/KLF4 Axis to Modulate 4,4′-Methylene Diphenyl Diisocyanate-Glutathione Conjugate-Induced Chemokine Transcription in Macrophages (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1095-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1095-2024-0</a>.\nOccupational exposure to 4,4'-methylene diphenyl diisocyanate (MDI), the most widely used monomeric diisocyanate (dNCO), is associated with occupational asthma (OA) development. Recruitment of immune cells to the lung microenvironment via secreted chemokines by alveolar macrophages may plays important roles during asthma pathogenesis. Our prior studies identified MDI/MDI-GSH-exposure downregulates endogenous human/murine(hsa/mmu)-microRNA(miR)-206-3p, resulting in the activation of mmu/hsa-miR-206-3p-regulated signaling including KLF4-mediated signaling in MØs. The hsa-miR-206-3p-regulated signaling activation leading to induction of chemokines and chemotaxis activities of immune cells. However, the underlying molecular mechanism(s) by which MDI/ MDI in the form of MDI-GSH conjugate exposure downregulated endogenous hsa-miR-206-3p expression is unclear. Circular RNAs (circRNAs) play important roles in many different biological processes by targeting endogenous miRs, affecting protein translation and gene transcription in different cell types. The circRNA expression can be regulated via outside stimuli exposures; however, whether MDI-exposure influence circRNAs expression is unknown. Several circRNAs have been identified to regulate hsa-miR-206-3p levels through miR binding/targeting. We hypothesize that MDI-exposure induces endogenous circRNA(s) to regulate hsa-miR-206-3p in MØs. The first aim of this study was to identified candidate hsa-miR-206-3p-binding circRNA(s) that can be regulated by MDI/MDI-GSH regulated. The second aim of this study was to examine whether MDI/MDI-GSH regulated hsa-miR-206-3p-binding circRNA(s) can indeed regulate the endogenous hsa-miR-206-3p in MØs. After identified the roles of endogenous circRNA(s) in regulation of endogenous hsa-miR-206-3p after MDI/MDI-GSH-exposure, we investigated the roles of circRNAs in regulation of hsa-miR-206-3p-mediated M2 macrophage-associated markers and chemokines' expressions in relation to the exposure to MDI. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-10-30",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Asthma"
        },
        {
          "@type": "Concept",
          "prefLabel": "Occupational\nBlood\nIsocyanates\nMacrophages\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "4",
        "4-Methylene diphenyl diisocyanate\nOccupational asthma\nGene expression\nMacrophages\nCell signaling\nDiisocyanates"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Philadelphia Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208519",
        "title": "Circular RNA hsa_circ_0008726 Targets the Hsa-miR-206-3p/KLF4 Axis to Modulate 4,4′-Methylene Diphenyl Diisocyanate-Glutathione Conjugate-Induced Chemokine Transcription in Macrophages (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/3h4m-i8xf",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208519",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Circular RNA hsa_circ_0008726 Targets the Hsa-miR-206-3p/KLF4 Axis to Modulate 4,4′-Methylene Diphenyl Diisocyanate-Glutathione Conjugate-Induced Chemokine Transcription in Macrophages (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1095-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1095-2024-0</a>.\nOccupational exposure to 4,4'-methylene diphenyl diisocyanate (MDI), the most widely used monomeric diisocyanate (dNCO), is associated with occupational asthma (OA) development. Recruitment of immune cells to the lung microenvironment via secreted chemokines by alveolar macrophages may plays important roles during asthma pathogenesis. Our prior studies identified MDI/MDI-GSH-exposure downregulates endogenous human/murine(hsa/mmu)-microRNA(miR)-206-3p, resulting in the activation of mmu/hsa-miR-206-3p-regulated signaling including KLF4-mediated signaling in MØs. The hsa-miR-206-3p-regulated signaling activation leading to induction of chemokines and chemotaxis activities of immune cells. However, the underlying molecular mechanism(s) by which MDI/ MDI in the form of MDI-GSH conjugate exposure downregulated endogenous hsa-miR-206-3p expression is unclear. Circular RNAs (circRNAs) play important roles in many different biological processes by targeting endogenous miRs, affecting protein translation and gene transcription in different cell types. The circRNA expression can be regulated via outside stimuli exposures; however, whether MDI-exposure influence circRNAs expression is unknown. Several circRNAs have been identified to regulate hsa-miR-206-3p levels through miR binding/targeting. We hypothesize that MDI-exposure induces endogenous circRNA(s) to regulate hsa-miR-206-3p in MØs. The first aim of this study was to identified candidate hsa-miR-206-3p-binding circRNA(s) that can be regulated by MDI/MDI-GSH regulated. The second aim of this study was to examine whether MDI/MDI-GSH regulated hsa-miR-206-3p-binding circRNA(s) can indeed regulate the endogenous hsa-miR-206-3p in MØs. After identified the roles of endogenous circRNA(s) in regulation of endogenous hsa-miR-206-3p after MDI/MDI-GSH-exposure, we investigated the roles of circRNAs in regulation of hsa-miR-206-3p-mediated M2 macrophage-associated markers and chemokines' expressions in relation to the exposure to MDI. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208519",
          "downloadURL": "https://data.cdc.gov/download/3h4m-i8xf/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208519",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1096-2024-0",
      "title": "Efficacy of Powered Air Purifying Respirators (PAPRs) for Source Control of Simulated Respiratory Aerosols (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1096-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1096-2024-0</a>.\nBackground: Powered air purifying respirators (PAPRs) are a popular alternative to the use of filtering facepiece respirators by healthcare workers. Although PAPRs protect the wearer from aerosol particles, their ability to block infectious aerosol particles exhaled by the wearer from being released into the environment (called source control) is unclear. Methods: The source control performance of five PAPR loose-fitting facepieces were tested using a manikin that exhales aerosol particles. The facepieces were tested by themselves and in combination with a surgical mask or N95® respirator. Results: Four of the facepieces did not significantly reduce the release of exhaled aerosols into the environment. One facepiece with a HEPA filtration panel did provide effective source control of the exhaled aerosols. Wearing a mask or respirator under the facepiece significantly improved the source control performance. Conclusions: Most PAPR facepieces do not block aerosols exhaled by the wearer. Facepieces designed to filter exhaled particles can prevent aerosols from being released into the environment. Wearing a surgical mask or a filtering facepiece respirator under the facepiece can also provide source control, but PAPRs are not typically certified for use with masks and respirators. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-11-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nCommunicable Diseases\nOccupational Health\nPersonal Protective Equipment\nRespiratory Protective Devices\nSafety"
        }
      ],
      "keyword": [
        "Powered Air Purifying Respirator\nPAPR\nAerosol particles\nAerosols\nPersonal protective equipment\nPPE\nInfection control\nDisease transmission"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Philadelphia Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208558",
        "title": "Efficacy of Powered Air Purifying Respirators (PAPRs) for Source Control of Simulated Respiratory Aerosols (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Blachere; Francoise M.\nDerk RC\nLindsley; William G.\nMnatsakanova A\nNoti JD\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/chnh-3rdi",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208558",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Efficacy of Powered Air Purifying Respirators (PAPRs) for Source Control of Simulated Respiratory Aerosols (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1096-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1096-2024-0</a>.\nBackground: Powered air purifying respirators (PAPRs) are a popular alternative to the use of filtering facepiece respirators by healthcare workers. Although PAPRs protect the wearer from aerosol particles, their ability to block infectious aerosol particles exhaled by the wearer from being released into the environment (called source control) is unclear. Methods: The source control performance of five PAPR loose-fitting facepieces were tested using a manikin that exhales aerosol particles. The facepieces were tested by themselves and in combination with a surgical mask or N95® respirator. Results: Four of the facepieces did not significantly reduce the release of exhaled aerosols into the environment. One facepiece with a HEPA filtration panel did provide effective source control of the exhaled aerosols. Wearing a mask or respirator under the facepiece significantly improved the source control performance. Conclusions: Most PAPR facepieces do not block aerosols exhaled by the wearer. Facepieces designed to filter exhaled particles can prevent aerosols from being released into the environment. Wearing a surgical mask or a filtering facepiece respirator under the facepiece can also provide source control, but PAPRs are not typically certified for use with masks and respirators. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208558",
          "downloadURL": "https://data.cdc.gov/download/chnh-3rdi/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208558",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1097-2024-0",
      "title": "Rat-Tail Models for Studying Hand-Arm Vibration Syndrome: A Comparison Between Living and Cadaver Rat Tails (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1097-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1097-2024-0</a>.\nOver-exposure of the hand-arm system to intense vibration and force over time may cause degeneration of the vascular, neurological, and musculoskeletal systems in the fingers. A novel animal model using rat tails has been developed to understand the health effects on human fingers exposed to vibration and force when operating powered hand tools or workpieces. The biodynamic responses, such as vibration stress, strain, and power absorption density, of the rat tails can be used to help evaluate the health effects related to vibration and force and to establish a dose-effect relationship. While the biodynamic responses of cadaver rat tails have been investigated, the objective of the current study was to determine whether the biodynamic responses of living rat tails are different from those of cadaver rat tails, and whether the biodynamic responses of both living and cadaver tails change with exposure duration. To make direct comparisons, the responses of both cadaver and living rat tails were examined on four different testing stations. The transfer function of each tail under a given contact force (2 N) was measured at each frequency in the one-third octave bands from 20 to 1000 Hz, and used to calculate the mechanical system parameters of the tails. The transfer function was also measured at different exposure durations to determine the time dependency of the response. The biodynamic responses of both cadaver and living rat tails, and the modeling results and time dependency are presented in a manuscript of this study (Warren et al., 2024), the original datasets measured in each trial of the tests are documented in this data description. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Physical Effects Research Branch (PERB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
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        ]
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      "accessRights": "public",
      "issued": "2024-12-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Laboratories\nOccupational Health\nSafety\nVibration"
        }
      ],
      "keyword": [
        "Vibration exposure\nLaboratory animals\nHand-arm vibration syndrome\nHAVS\nPower tools\nBiodynamics"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Philadelphia Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208578",
        "title": "Rat-Tail Models for Studying Hand-Arm Vibration Syndrome: A Comparison Between Living and Cadaver Rat Tails (Dataset)"
      },
      "rightsHolder": [
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          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
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        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
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          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/bucw-etpd",
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      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208578",
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      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Rat-Tail Models for Studying Hand-Arm Vibration Syndrome: A Comparison Between Living and Cadaver Rat Tails (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1097-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1097-2024-0</a>.\nOver-exposure of the hand-arm system to intense vibration and force over time may cause degeneration of the vascular, neurological, and musculoskeletal systems in the fingers. A novel animal model using rat tails has been developed to understand the health effects on human fingers exposed to vibration and force when operating powered hand tools or workpieces. The biodynamic responses, such as vibration stress, strain, and power absorption density, of the rat tails can be used to help evaluate the health effects related to vibration and force and to establish a dose-effect relationship. While the biodynamic responses of cadaver rat tails have been investigated, the objective of the current study was to determine whether the biodynamic responses of living rat tails are different from those of cadaver rat tails, and whether the biodynamic responses of both living and cadaver tails change with exposure duration. To make direct comparisons, the responses of both cadaver and living rat tails were examined on four different testing stations. The transfer function of each tail under a given contact force (2 N) was measured at each frequency in the one-third octave bands from 20 to 1000 Hz, and used to calculate the mechanical system parameters of the tails. The transfer function was also measured at different exposure durations to determine the time dependency of the response. The biodynamic responses of both cadaver and living rat tails, and the modeling results and time dependency are presented in a manuscript of this study (Warren et al., 2024), the original datasets measured in each trial of the tests are documented in this data description. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208578",
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    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1098-2024-0",
      "title": "A High-Throughput, Turbulent-Mixing, Condensation Aerosol Concentrator for Direct Aerosol Collection as a Liquid Suspension (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1098-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1098-2024-0</a>.\nTrace measurement of aerosol chemical composition in workplace atmospheres requires the development of high-throughput aerosol collectors that are compact, hand-portable, and can be operated using personal pumps. We describe the design and characterization of a compact, high flow, Turbulent-mixing Condensation Aerosol-in-Liquid Concentrator (TCALC) that allows direct collection of aerosols as liquid suspensions, for off-line chemical, biological, or microscopy analysis. The TCALC unit, measuring approximately 12 × 16 × 18 cm, operates at an aerosol sample flowrate of up to 10 L min-1, using rapid mixing of a hot flow saturated with water vapor and a cold aerosol sample flow, thereby promoting condensational growth of aerosol particles. We investigated the effect of operating parameters such as vapor temperature, growth tube wall temperature, and aerosol sample flowrate, along with the effect of particle diameter, inlet humidity, aerosol concentration, and operation time on TCALC performance. Nanoparticles with an initial aerodynamic diameter ≥ 25 nm could grow to droplet diameters > 1400 nm with an efficiency ≥ 80%. Good droplet growth efficiency was achieved for sampled aerosol relative humidity ≥ 9%. We measured complete aerosol collection for concentrations of ≤ 3×105 cm-3. The results showed good agreement between the particulate mass collected through the liquid collector and direct filter collection. The TCALC eliminates the need for sample preparation and filter digestion during chemical analysis, thereby increasing sample recovery and substantially improving the limit of detection and sensitivity of off-line trace analysis of collected liquid samples. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
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      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
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            "name": "Centers for Disease Control and Prevention (CDC)",
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        ]
      },
      "accessRights": "public",
      "issued": "2024-12-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nChemistry\nOccupational Health\nParticulate Matter\nSafety\nSolvents"
        }
      ],
      "keyword": [
        "Aerosols\nTrace analysis\nAerosol sampling\nSampling methods\nAerosol particles\nChemical analysis\nParticulates\nVapors"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Chicago Region [OSHA]\nOhio"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208579",
        "title": "A High-Throughput, Turbulent-Mixing, Condensation Aerosol Concentrator for Direct Aerosol Collection as a Liquid Suspension (Dataset)"
      },
      "rightsHolder": [
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          "@type": "Organization",
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      ],
      "rights": [
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      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/c75w-3h6e",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
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        "accessURL": "https://stacks.cdc.gov/view/cdc/208579",
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      "distribution": [
        {
          "@type": "Distribution",
          "title": "A High-Throughput, Turbulent-Mixing, Condensation Aerosol Concentrator for Direct Aerosol Collection as a Liquid Suspension (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1098-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1098-2024-0</a>.\nTrace measurement of aerosol chemical composition in workplace atmospheres requires the development of high-throughput aerosol collectors that are compact, hand-portable, and can be operated using personal pumps. We describe the design and characterization of a compact, high flow, Turbulent-mixing Condensation Aerosol-in-Liquid Concentrator (TCALC) that allows direct collection of aerosols as liquid suspensions, for off-line chemical, biological, or microscopy analysis. The TCALC unit, measuring approximately 12 × 16 × 18 cm, operates at an aerosol sample flowrate of up to 10 L min-1, using rapid mixing of a hot flow saturated with water vapor and a cold aerosol sample flow, thereby promoting condensational growth of aerosol particles. We investigated the effect of operating parameters such as vapor temperature, growth tube wall temperature, and aerosol sample flowrate, along with the effect of particle diameter, inlet humidity, aerosol concentration, and operation time on TCALC performance. Nanoparticles with an initial aerodynamic diameter ≥ 25 nm could grow to droplet diameters > 1400 nm with an efficiency ≥ 80%. Good droplet growth efficiency was achieved for sampled aerosol relative humidity ≥ 9%. We measured complete aerosol collection for concentrations of ≤ 3×105 cm-3. The results showed good agreement between the particulate mass collected through the liquid collector and direct filter collection. The TCALC eliminates the need for sample preparation and filter digestion during chemical analysis, thereby increasing sample recovery and substantially improving the limit of detection and sensitivity of off-line trace analysis of collected liquid samples. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208579",
          "downloadURL": "https://data.cdc.gov/download/c75w-3h6e/application%2Fx-zip-compressed",
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1099-2024-0",
      "title": "Applied Pressure Alters Circulating Hormone Levels and Biomarkers of Peripheral Vascular, Sensorineural Dysfunction (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1099-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1099-2024-0</a>.\nWorkers that regularly use vibrating hand tools as part of their job are at risk of developing hand-arm vibration syndrome (HAVS). HAVS is characterized by cold-induced vasospasms that result in blanching of the fingers and hands, loss of sensation, pain, and reductions in manual dexterity, all of which can affect a worker's ability to perform their job and their quality of life. Vibration exposure significantly contributes to the development of these symptoms by increasing the stress and strain within exposed tissues, which in turn can affect functioning of blood vessels, nerves and sensory receptors in those tissues. The International Standards Organization (ISO) standard 5349 provides guidance to help employers and workers predict if workers are at risk of developing HAVS. To date, most of the data presented in the standard have focused specifically on the effects of vibration. However, the standard states that other risk factors are likely to contribute, such as the force applied to exposed tissues when a worker is using a hand-tool, the posture of the worker, the environment the worker is working in, and various other personal health-related factors. The goal of this study was to characterize the effects of applied force, and applied force plus vibration on vascular and sensorineural function. The rat-tail model for studying force and vibration, established at NIOSH, was used in this study. The effects of 10 days of exposure to 2 or 4N of applied force on circulating hormone concentrations, transcript expression, immunostaining for various markers of oxidative stress, growth and remodeling, and tissue morphology to determine what the effects of applied force are on exposed skin, arteries, nerves, and other tissues involved in sensorineural function including the dorsal root ganglia (DRG) and spinal cord. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-12-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Biomarkers\nOccupational Health\nSafety\nVibration"
        }
      ],
      "keyword": [
        "Hand-arm vibration syndrome\nHAVS\nHand tools\nBiomarkers\nHormone activity\nVibration exposure\nPeripheral nervous system\nSensory disorders"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Philadelphia Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208589",
        "title": "Applied Pressure Alters Circulating Hormone Levels and Biomarkers of Peripheral Vascular, Sensorineural Dysfunction (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/xy5u-nzbq",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208589",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Applied Pressure Alters Circulating Hormone Levels and Biomarkers of Peripheral Vascular, Sensorineural Dysfunction (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1099-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1099-2024-0</a>.\nWorkers that regularly use vibrating hand tools as part of their job are at risk of developing hand-arm vibration syndrome (HAVS). HAVS is characterized by cold-induced vasospasms that result in blanching of the fingers and hands, loss of sensation, pain, and reductions in manual dexterity, all of which can affect a worker's ability to perform their job and their quality of life. Vibration exposure significantly contributes to the development of these symptoms by increasing the stress and strain within exposed tissues, which in turn can affect functioning of blood vessels, nerves and sensory receptors in those tissues. The International Standards Organization (ISO) standard 5349 provides guidance to help employers and workers predict if workers are at risk of developing HAVS. To date, most of the data presented in the standard have focused specifically on the effects of vibration. However, the standard states that other risk factors are likely to contribute, such as the force applied to exposed tissues when a worker is using a hand-tool, the posture of the worker, the environment the worker is working in, and various other personal health-related factors. The goal of this study was to characterize the effects of applied force, and applied force plus vibration on vascular and sensorineural function. The rat-tail model for studying force and vibration, established at NIOSH, was used in this study. The effects of 10 days of exposure to 2 or 4N of applied force on circulating hormone concentrations, transcript expression, immunostaining for various markers of oxidative stress, growth and remodeling, and tissue morphology to determine what the effects of applied force are on exposed skin, arteries, nerves, and other tissues involved in sensorineural function including the dorsal root ganglia (DRG) and spinal cord. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208589",
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            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208589",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1100-2024-0",
      "title": "Characterizing Dynamic Atmosphere Generation System Performance for Analytical Method Development (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1100-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1100-2024-0</a>.\nLaboratory-generated environments are substantial parts of the work involved in developing and validating methods for sampling volatile organic compounds (VOCs) in workplace atmospheres. We assessed the variability of samples produced by our dynamic atmosphere generation system designed for VOC generation and sampling. The characterization of bias and variability was conducted across various atmospheres containing pure n-heptane as well as mixtures of VOCs, which were collected using coconut shell charcoal tubes. The analysis of VOCs from these charcoal tubes was evaluated to reveal the variability from multiple sources: the generation of the atmosphere, the sampling process, and the analytical procedures. This research aimed to quantify the extent of variability from these sources and to estimate the sampling variability associated with our dynamic generation system. Our findings indicated that sampling variability ranged from 2% for pure n-heptane to 12% for a component within a ten-VOC mixture. Notably, sample variability increased with lower concentration levels and in mixtures compared to single-component atmospheres. This study provides a foundational reference for future experiments focused on atmosphere sampling performance at lower concentrations and in mixed VOC environments. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Chemical and Biological Monitoring Branch (CBMB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
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        ]
      },
      "accessRights": "public",
      "issued": "2024-12-05",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Environmental Monitoring\nOccupational Health\nSafety\nVolatile Organic Compounds"
        }
      ],
      "keyword": [
        "Volatile organic compounds\nVOCs\nAir sampling techniques\nExposure assessment\nAnalytical methods\nSampling equipment"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Chicago Region [OSHA]\nOhio"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208598",
        "title": "Characterizing Dynamic Atmosphere Generation System Performance for Analytical Method Development (Dataset)"
      },
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          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
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        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/8vj7-uiam",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208598",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Characterizing Dynamic Atmosphere Generation System Performance for Analytical Method Development (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1100-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1100-2024-0</a>.\nLaboratory-generated environments are substantial parts of the work involved in developing and validating methods for sampling volatile organic compounds (VOCs) in workplace atmospheres. We assessed the variability of samples produced by our dynamic atmosphere generation system designed for VOC generation and sampling. The characterization of bias and variability was conducted across various atmospheres containing pure n-heptane as well as mixtures of VOCs, which were collected using coconut shell charcoal tubes. The analysis of VOCs from these charcoal tubes was evaluated to reveal the variability from multiple sources: the generation of the atmosphere, the sampling process, and the analytical procedures. This research aimed to quantify the extent of variability from these sources and to estimate the sampling variability associated with our dynamic generation system. Our findings indicated that sampling variability ranged from 2% for pure n-heptane to 12% for a component within a ten-VOC mixture. Notably, sample variability increased with lower concentration levels and in mixtures compared to single-component atmospheres. This study provides a foundational reference for future experiments focused on atmosphere sampling performance at lower concentrations and in mixed VOC environments. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208598",
          "downloadURL": "https://data.cdc.gov/download/8vj7-uiam/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
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          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208598",
            "title": "Metadata on HTML Repository Page"
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1101-2024-0",
      "title": "Shoulder-Assist Exoskeleton Effects on Balance and Muscle Activity During a Block-Laying Task on a Simulated Mast Climber (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1101-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1101-2024-0</a>.\nMasonry work, a sub-specialty of the construction industry, consists of brick and block-laying. Masonry workers often perform these tasks daily using an elevated work platform (e.g., mast climbers). Mast climbers are elevating equipment used to replace traditional scaffolds. They have been available in the United States since the 1980s. Mast climbers are capable of handling much greater loads of workers and materials than traditional scaffolding. They also make reaching greater heights much easier, thereby improving efficiency on construction projects. However, working on an unstable work platform at elevation can increase the risks of slips, trips and falls, including falls to a lower level. From 1990 to 2017, there were a total of 35 recorded fatalities associated with the use of mast climbers. Of the 35 fatalities, 13 were masonry workers (OSHA report). Additionally, working on a mast climber can also create awkward working postures due to the confined nature of the workspace. Masonry work can be physically demanding. Concrete block can weigh between 9-27 kg. The rate of overexertion among masonry workers was 33.4 per 10,000 FTEs compared to the average rate of 21.5 per 10,000 FTEs in all industries (BLS data). Shoulder-assist exoskeletons present an attractive possibility to reduce MSD risks in masonry workers if the exoskeletons do not cause adverse effects to the workers' stability and balance. In this study, we evaluated effects of three models of passive shoulder-assist exoskeletons on balance and shoulder muscle activity during a masonry task on a simulated mast climbing work platform. The balance-related parameters and shoulder muscle activities were compared when using or not using the exoskeletons. We want to evaluate the hypotheses that the exoskeletons (1) reduce shoulder muscle activity and (2) decrease the stability of the workers. [Description provided by NIOSH]",
      "contactPoint": [
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      ],
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      },
      "accessRights": "public",
      "issued": "2024-12-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Biomechanical Phenomena\nConstruction Industry\nErgonomics\nMusculoskeletal System\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "Ergonomics\nBiomechanics\nExoskeletons\nConstruction industry\nElectromyography\nMuscle function\nUpper extremities\nMasons"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Atlanta Region [OSHA]\nBirmingham Region [OSHA]\nDallas Region [OSHA]\nFlorida\nPhiladelphia Region [OSHA]\nTexas\nWest Virginia"
        }
      ],
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        "@type": "Document",
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        "title": "Shoulder-Assist Exoskeleton Effects on Balance and Muscle Activity During a Block-Laying Task on a Simulated Mast Climber (Dataset)"
      },
      "rightsHolder": [
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        {
          "@type": "Distribution",
          "title": "Shoulder-Assist Exoskeleton Effects on Balance and Muscle Activity During a Block-Laying Task on a Simulated Mast Climber (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1101-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1101-2024-0</a>.\nMasonry work, a sub-specialty of the construction industry, consists of brick and block-laying. Masonry workers often perform these tasks daily using an elevated work platform (e.g., mast climbers). Mast climbers are elevating equipment used to replace traditional scaffolds. They have been available in the United States since the 1980s. Mast climbers are capable of handling much greater loads of workers and materials than traditional scaffolding. They also make reaching greater heights much easier, thereby improving efficiency on construction projects. However, working on an unstable work platform at elevation can increase the risks of slips, trips and falls, including falls to a lower level. From 1990 to 2017, there were a total of 35 recorded fatalities associated with the use of mast climbers. Of the 35 fatalities, 13 were masonry workers (OSHA report). Additionally, working on a mast climber can also create awkward working postures due to the confined nature of the workspace. Masonry work can be physically demanding. Concrete block can weigh between 9-27 kg. The rate of overexertion among masonry workers was 33.4 per 10,000 FTEs compared to the average rate of 21.5 per 10,000 FTEs in all industries (BLS data). Shoulder-assist exoskeletons present an attractive possibility to reduce MSD risks in masonry workers if the exoskeletons do not cause adverse effects to the workers' stability and balance. In this study, we evaluated effects of three models of passive shoulder-assist exoskeletons on balance and shoulder muscle activity during a masonry task on a simulated mast climbing work platform. The balance-related parameters and shoulder muscle activities were compared when using or not using the exoskeletons. We want to evaluate the hypotheses that the exoskeletons (1) reduce shoulder muscle activity and (2) decrease the stability of the workers. [Description provided by NIOSH]",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1102-2024-0",
      "title": "Assessment of Filtration Efficiency, Manikin Fit Performance, and Strap Performance for Decontaminated N95 Filtering Facepiece Respirators (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1102-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1102-2024-0</a>.\nSupplies of N95® filtering facepiece respirators (FFRs) can become depleted during widespread outbreaks of infectious respiratory illnesses. To supplement the national inventory of NIOSH Approved® N95 FFRs during times of extreme shortages, FFR reuse following decontamination is a possible strategy. Decontamination is a process to reduce the number of pathogens on used FFRs before reuse. An effective FFR decontamination technique should significantly reduce the pathogen burden, but not reduce a respirator's filtration performance or its ability to fit properly. Another consideration is that no hazardous chemical residue should be left on the FFR following the decontamination process. During non-emergencies, FFRs are considered limited-use products and are not approved for decontamination and reuse; however, when there are known FFR shortages, FFR decontamination and reuse may need to be implemented as a crisis capacity strategy to ensure continued availability after conventional and contingency strategies have been implemented. On March 29, 2020, the U.S. Food and Drug Administration (FDA) issued the first Emergency Use Authorization (EUA) for a decontamination technique to be considered to offset N95 FFR supply shortages with subsequent EUAs and revisions issued. The purpose of this assessment was to determine the effects of various decontamination processes on the particulate filtration performance, manikin fit, and strap integrity of various N95 FFR models. The assessment did not assess the reduction of the pathogen burden by the decontamination procedure. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Personal Protective Technology Laboratory (NPPTL). Research Branch (RB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
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      ],
      "publisher": {
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        "name": "National Institute for Occupational Safety and Health (NIOSH)",
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          }
        ]
      },
      "accessRights": "public",
      "issued": "2025-01-10",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Filtration\nOccupational Health\nPersonal Protective Equipment\nRespiratory Protective Devices\nSafety"
        }
      ],
      "keyword": [
        "Personal protective equipment\nPPE\nEquipment testing\nN95 filtering facepiece respirators\nRespirator testing\nDecontamination\nFit testing\nFiltration"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Pennsylvania\nPhiladelphia Region [OSHA]"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208602",
        "title": "Assessment of Filtration Efficiency, Manikin Fit Performance, and Strap Performance for Decontaminated N95 Filtering Facepiece Respirators (Dataset)"
      },
      "rightsHolder": [
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          "@type": "Organization",
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        }
      ],
      "rights": [
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      ],
      "creator": {
        "@type": "Agent",
        "name": "Bergman; Michael\nMeyers J\nPollard J\nQuinn T\nStreeter R\nStrickland K\nVollmer B\nWilson A\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
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          "notation": "https://data.cdc.gov/d/r4kb-pc87",
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        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208602",
        "title": "Metadata on HTML Repository Page"
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        {
          "@type": "Distribution",
          "title": "Assessment of Filtration Efficiency, Manikin Fit Performance, and Strap Performance for Decontaminated N95 Filtering Facepiece Respirators (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1102-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1102-2024-0</a>.\nSupplies of N95® filtering facepiece respirators (FFRs) can become depleted during widespread outbreaks of infectious respiratory illnesses. To supplement the national inventory of NIOSH Approved® N95 FFRs during times of extreme shortages, FFR reuse following decontamination is a possible strategy. Decontamination is a process to reduce the number of pathogens on used FFRs before reuse. An effective FFR decontamination technique should significantly reduce the pathogen burden, but not reduce a respirator's filtration performance or its ability to fit properly. Another consideration is that no hazardous chemical residue should be left on the FFR following the decontamination process. During non-emergencies, FFRs are considered limited-use products and are not approved for decontamination and reuse; however, when there are known FFR shortages, FFR decontamination and reuse may need to be implemented as a crisis capacity strategy to ensure continued availability after conventional and contingency strategies have been implemented. On March 29, 2020, the U.S. Food and Drug Administration (FDA) issued the first Emergency Use Authorization (EUA) for a decontamination technique to be considered to offset N95 FFR supply shortages with subsequent EUAs and revisions issued. The purpose of this assessment was to determine the effects of various decontamination processes on the particulate filtration performance, manikin fit, and strap integrity of various N95 FFR models. The assessment did not assess the reduction of the pathogen burden by the decontamination procedure. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208602",
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    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1103-2024-0",
      "title": "Assessment of Dermal Sensitization by Nickel Salts in a Novel Humanized TLR-4 Mouse Model (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1103-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1103-2024-0</a>.\nNickel is one of the most common contact allergens worldwide. Despite this prevalence, many of the underlying immunological mechanisms responsible for nickel allergy remain unclear. This knowledge gap is partially attributable to the inherent resistance of laboratory rodents (mice and rats) to dermal sensitization with nickel salts. The fundamental goal of this study was to assess the potential utility of the novel humanized Toll-like receptor-4 (hTLR-4) mouse model for use in future in vivo studies of nickel allergy. Accordingly, hTLR-4 positive and negative mice of both sexes were first incorporated into a Local Lymph Node Assay (LLNA) to evaluate dermal sensitization following topical exposure to soluble nickel salts (NiSO4). The ensuing immune responses were then characterized further by incorporating female and male hTLR-4 positive mice into a non-radioactive endpoint-based assay. Utilizing the same exposure scheme as in the LLNA, mice were euthanized following exposure and the auricular lymph nodes, spleen, and blood were collected to assess various immunological parameters associated with allergy and ACD. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
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      ],
      "publisher": {
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        "name": "National Institute for Occupational Safety and Health (NIOSH)",
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        ]
      },
      "accessRights": "public",
      "issued": "2024-12-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nHypersensitivity\nNickel\nOccupational Health\nSafety\nSkin"
        }
      ],
      "keyword": [
        "Dermal exposures\nAllergic reactions\nAllergies\nSensitization\nNickel\nAnimal studies\nSkin sensitivity"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Philadelphia Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208614",
        "title": "Assessment of Dermal Sensitization by Nickel Salts in a Novel Humanized TLR-4 Mouse Model (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
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      ],
      "creator": {
        "@type": "Agent",
        "name": "Aldinger; Jeffrey A.\nAnderson S\nRoach K\nRoberts J\nStefaniak; Aleksandr B.\nWaggy C\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/uhs4-vv7g",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208614",
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      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Assessment of Dermal Sensitization by Nickel Salts in a Novel Humanized TLR-4 Mouse Model (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1103-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1103-2024-0</a>.\nNickel is one of the most common contact allergens worldwide. Despite this prevalence, many of the underlying immunological mechanisms responsible for nickel allergy remain unclear. This knowledge gap is partially attributable to the inherent resistance of laboratory rodents (mice and rats) to dermal sensitization with nickel salts. The fundamental goal of this study was to assess the potential utility of the novel humanized Toll-like receptor-4 (hTLR-4) mouse model for use in future in vivo studies of nickel allergy. Accordingly, hTLR-4 positive and negative mice of both sexes were first incorporated into a Local Lymph Node Assay (LLNA) to evaluate dermal sensitization following topical exposure to soluble nickel salts (NiSO4). The ensuing immune responses were then characterized further by incorporating female and male hTLR-4 positive mice into a non-radioactive endpoint-based assay. Utilizing the same exposure scheme as in the LLNA, mice were euthanized following exposure and the auricular lymph nodes, spleen, and blood were collected to assess various immunological parameters associated with allergy and ACD. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208614",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1104-2024-0",
      "title": "Comparative In Vitro Toxicity of Different Thermal Spray Particulates in Human Bronchial Cells (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1104-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1104-2024-0</a>.\nIntroduction: Thermal spray, in general, is a process that involves forcing a melted substance, such as metal or ceramic in the form of wire or powder, onto the surface of a targeted object to enhance its desired surface properties. In this paper, the melted substance is metal wire generated by an electric arc and forcibly coated on a rotary iron substrate using compressed air. This thermal process is referred to as double-wire arc thermal spray. The particles generated through these methods fall within the nanometer to micrometer agglomerate size range. There is concern regarding potential human health outcomes as these particles exhibit a similarity in particle morphology to welding fumes. Thermal spray wires with Zn (PMET540), Fe and Cr (PMET731), and Ni (PMET885) as primary metal compositions were used to generate particulate via an electric arc wire thermal spray generator for exposure to human bronchial cells (BEAS-2B) to examine comparative toxicity ranging from 0-200 µg/mL. Resulting cellular viability was assessed through live cell counts, and percent cytotoxicity was measured as a function of LDH release. Oxidative stress, genotoxicity, and alteration in Total Antioxidant Capacity were evaluated through DNA damage (COMET analysis) and antioxidant concentration at 0, 3.125, 25, and 100 µg/mL. Protein markers for Endothelin-1 (ET-1), Interleukin-6 (IL-6), and Interleukin-8 (IL-8) were also assessed to determine inflammation and endothelial alteration. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
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            "name": "Centers for Disease Control and Prevention (CDC)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-12-12",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Cytotoxins\nLung\nMetals\nOccupational Health\nParticulate Matter\nRespiratory System\nSafety"
        }
      ],
      "keyword": [
        "Spraying equipment\nSprays\nNanoparticles\nParticulates\nIn vitro study\nLung cells\nCytotoxicity\nOxidative stress\nCellular effects\nMetals\nInhalation studies"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Philadelphia Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208700",
        "title": "Comparative In Vitro Toxicity of Different Thermal Spray Particulates in Human Bronchial Cells (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
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      ],
      "creator": {
        "@type": "Agent",
        "name": "Afshari AA\nAntonini JM\nBurns ES\nHarner RE\nKodali V\nLeonard; Stephen S.\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/fsf9-trph",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
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        "accessURL": "https://stacks.cdc.gov/view/cdc/208700",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Comparative In Vitro Toxicity of Different Thermal Spray Particulates in Human Bronchial Cells (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1104-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1104-2024-0</a>.\nIntroduction: Thermal spray, in general, is a process that involves forcing a melted substance, such as metal or ceramic in the form of wire or powder, onto the surface of a targeted object to enhance its desired surface properties. In this paper, the melted substance is metal wire generated by an electric arc and forcibly coated on a rotary iron substrate using compressed air. This thermal process is referred to as double-wire arc thermal spray. The particles generated through these methods fall within the nanometer to micrometer agglomerate size range. There is concern regarding potential human health outcomes as these particles exhibit a similarity in particle morphology to welding fumes. Thermal spray wires with Zn (PMET540), Fe and Cr (PMET731), and Ni (PMET885) as primary metal compositions were used to generate particulate via an electric arc wire thermal spray generator for exposure to human bronchial cells (BEAS-2B) to examine comparative toxicity ranging from 0-200 µg/mL. Resulting cellular viability was assessed through live cell counts, and percent cytotoxicity was measured as a function of LDH release. Oxidative stress, genotoxicity, and alteration in Total Antioxidant Capacity were evaluated through DNA damage (COMET analysis) and antioxidant concentration at 0, 3.125, 25, and 100 µg/mL. Protein markers for Endothelin-1 (ET-1), Interleukin-6 (IL-6), and Interleukin-8 (IL-8) were also assessed to determine inflammation and endothelial alteration. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208700",
          "downloadURL": "https://data.cdc.gov/download/fsf9-trph/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208700",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1105-2024-0",
      "title": "Nerve Agent Exposure and Physiological Stress Alter Brain Microstructure and Immune Profiles After Inflammatory Challenge in a Long-Term Animal Model of Gulf War Illness (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1105-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1105-2024-0</a>.\nGulf War Illness (GWI) is a disorder experienced by one-third of the veterans of the 1990-91 Gulf War, with symptoms including fatigue, chronic pain, respiratory and memory problems. Exposure to toxic chemicals during the war, such as oil well fire smoke, pesticides, physiological stress, and nerve agents, is thought to have triggered abnormal neuroinflammatory responses that contribute to GWI. Previous studies using animal models have indicated that combined exposure to high physiological stress and GW-relevant organophosphates, such as sarin nerve agent and chlorpyrifos and dichlorvos, produces neuroinflammation and changes in diffusion magnetic resonance imaging (MRI) measures, suggesting a neuroimmune basis for GWI. In the current study, we examined brain structure and immune function of a chronic rat model of GWI and showed that a combination of long-term corticosterone treatment (CORT, to mimic high physiological stress) and diisopropyl fluorophosphate exposure (DFP, to mimic sarin exposure) resulted in elevations of multiple inflammatory cytokines, an increased activated microglial population, and disrupted brain microstructure in the hippocampal regions. Moreover, prior exposures to these agents modeling the \"in-theater,\" initiating exposure conditions experienced by veterans with GWI can induce long-term alterations in neuroimmune signaling, resulting in an exacerbated neuroinflammatory response to future immune challenges. The goal of the study was to establish a long-term model of GWI in rats that would be more relevant to the current state of ill veterans. As such, rats were initially exposed to the stress hormone corticosterone (CORT) for 1 week followed by a single exposure to the sarin surrogate diisopropyl fluorophosphate, to mimic \"in-theater\" conditions of high physiological stress and nerve agent exposure. This initial exposure was followed up with 4 weeks of intermittent re-exposure to week-long bouts of CORT and a final exposure to the prototypical inflammagen, lipopolysaccharide (LPS) to mimic a systemic inflammatory challenge. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Toxicology and Molecular Biology Branch (TMBB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-12-17",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Biochemistry\nImmune System\nNervous System\nNervous System Diseases\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "Military personnel\nNeurological disorders\nMagnetic resonance imaging\nMRI\nCytokines\nImmunochemistry\nBiochemical effects\nChronic inflammation"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Boston Region [OSHA]\nMassachusetts\nPhiladelphia Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208702",
        "title": "Nerve Agent Exposure and Physiological Stress Alter Brain Microstructure and Immune Profiles After Inflammatory Challenge in a Long-Term Animal Model of Gulf War Illness (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Kelly KA\nMichalovicz LT\nO'Callaghan JP\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/7ehz-refy",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208702",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Nerve Agent Exposure and Physiological Stress Alter Brain Microstructure and Immune Profiles After Inflammatory Challenge in a Long-Term Animal Model of Gulf War Illness (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1105-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1105-2024-0</a>.\nGulf War Illness (GWI) is a disorder experienced by one-third of the veterans of the 1990-91 Gulf War, with symptoms including fatigue, chronic pain, respiratory and memory problems. Exposure to toxic chemicals during the war, such as oil well fire smoke, pesticides, physiological stress, and nerve agents, is thought to have triggered abnormal neuroinflammatory responses that contribute to GWI. Previous studies using animal models have indicated that combined exposure to high physiological stress and GW-relevant organophosphates, such as sarin nerve agent and chlorpyrifos and dichlorvos, produces neuroinflammation and changes in diffusion magnetic resonance imaging (MRI) measures, suggesting a neuroimmune basis for GWI. In the current study, we examined brain structure and immune function of a chronic rat model of GWI and showed that a combination of long-term corticosterone treatment (CORT, to mimic high physiological stress) and diisopropyl fluorophosphate exposure (DFP, to mimic sarin exposure) resulted in elevations of multiple inflammatory cytokines, an increased activated microglial population, and disrupted brain microstructure in the hippocampal regions. Moreover, prior exposures to these agents modeling the \"in-theater,\" initiating exposure conditions experienced by veterans with GWI can induce long-term alterations in neuroimmune signaling, resulting in an exacerbated neuroinflammatory response to future immune challenges. The goal of the study was to establish a long-term model of GWI in rats that would be more relevant to the current state of ill veterans. As such, rats were initially exposed to the stress hormone corticosterone (CORT) for 1 week followed by a single exposure to the sarin surrogate diisopropyl fluorophosphate, to mimic \"in-theater\" conditions of high physiological stress and nerve agent exposure. This initial exposure was followed up with 4 weeks of intermittent re-exposure to week-long bouts of CORT and a final exposure to the prototypical inflammagen, lipopolysaccharide (LPS) to mimic a systemic inflammatory challenge. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208702",
          "downloadURL": "https://data.cdc.gov/download/7ehz-refy/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208702",
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          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1106-2024-0",
      "title": "Release of Crystalline Silica Nanoparticles During Engineered Stone Fabrication (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1106-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1106-2024-0</a>.\nInhalation exposure to respirable crystalline silica (RCS) during fabrication of engineered stone-based kitchen countertops has been on the rise in recent years and has become a significant occupational health problem in the United States and globally. Little is known about the presence of nano-crystalline silica (NCS), i.e., particles below 100 nm. We present a methodology to quantify the crystalline silica content in the sub-100 nm size fraction of the aerosol released during engineered stone fabrication using X-ray diffraction (XRD) and Fourier transform Infrared (FT-IR) spectroscopy. Aerosol was generated in test chamber designed per EN 1093-3 and sampled using cascade impactors. XRD and FT-IR analysis showed the presence of both a-quartz (15 - 60 %) and cristobalite (10 - 50 %) polymorphs in all size fractions. With increasing particle size, the cristobalite content increased. 70 % of the total aerosol mass in the sub-100 nm fraction was found to be crystalline silica, qualitatively confirmed by electron diffraction and electron energy loss spectroscopy. Presence of other minerals was detected in all size fractions; no polymeric resin binder was detected in the sub-100 nm fraction. Although, the sub-100 nm fraction was about 1 % of the aerosol mass, it accounted for 4 - 24 % of the aerosol surface area based on total lung deposition. If the surface area is a more relevant exposure metric, the assessment of efficacy of current engineering control systems using mass as an exposure metric may not provide adequate protection. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2025-01-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nOccupational Health\nParticulate Matter\nRespiratory System\nSafety\nSilicon Dioxide"
        }
      ],
      "keyword": [
        "Crystalline silica\nNanoparticles\nParticle size\nInhalation studies\nNanocrystals\nStone products\nAerosols\nAerosol particles"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Chicago Region [OSHA]\nOhio"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208703",
        "title": "Release of Crystalline Silica Nanoparticles During Engineered Stone Fabrication (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Dozier; Alan K.\nKu BK\nKulkarni P\nQi C\nRishi K\nThompson D\nVogiazi V\nWang C\nZervaki O\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/2juy-3evq",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208703",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Release of Crystalline Silica Nanoparticles During Engineered Stone Fabrication (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1106-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1106-2024-0</a>.\nInhalation exposure to respirable crystalline silica (RCS) during fabrication of engineered stone-based kitchen countertops has been on the rise in recent years and has become a significant occupational health problem in the United States and globally. Little is known about the presence of nano-crystalline silica (NCS), i.e., particles below 100 nm. We present a methodology to quantify the crystalline silica content in the sub-100 nm size fraction of the aerosol released during engineered stone fabrication using X-ray diffraction (XRD) and Fourier transform Infrared (FT-IR) spectroscopy. Aerosol was generated in test chamber designed per EN 1093-3 and sampled using cascade impactors. XRD and FT-IR analysis showed the presence of both a-quartz (15 - 60 %) and cristobalite (10 - 50 %) polymorphs in all size fractions. With increasing particle size, the cristobalite content increased. 70 % of the total aerosol mass in the sub-100 nm fraction was found to be crystalline silica, qualitatively confirmed by electron diffraction and electron energy loss spectroscopy. Presence of other minerals was detected in all size fractions; no polymeric resin binder was detected in the sub-100 nm fraction. Although, the sub-100 nm fraction was about 1 % of the aerosol mass, it accounted for 4 - 24 % of the aerosol surface area based on total lung deposition. If the surface area is a more relevant exposure metric, the assessment of efficacy of current engineering control systems using mass as an exposure metric may not provide adequate protection. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208703",
          "downloadURL": "https://data.cdc.gov/download/2juy-3evq/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208703",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1107-2024-0",
      "title": "Effects of Inhaled Tier-2 Diesel Engine Exhaust on Immunotoxicity in a Rat Model: A Hazard Identification Study. Part III. Immunotoxicology (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1107-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1107-2024-0</a>.\nDiesel exhaust (DE) is an air pollutant containing gaseous compounds and particulate matter. Diesel engines are common on gas extraction and oil sites, leading to complex DE exposure to a broad range of compounds through occupational settings. The US EPA concluded that short-term exposure to DE leads to allergic inflammatory disorders of the airways. To further evaluate the immunotoxicity of DE, the effects of whole-body inhalation of 0.2 and 1 mg/m3 DE (total carbon; 6 h/d for 4 days) were investigated 1-, 7-, and 27-days post exposure in Sprague-Dawley rats using an occupationally relevant exposure system. DE exposure of 1 mg/m3 increased total cellularity, number of CD4+ and CD8+ T-cells, and B-cells at 1 d post-exposure in the lung lymph nodes. At 7 d post-exposure to 1 mg/m3, cellularity and the number of CD4+ and CD8+ T-cells decreased in the LLNs. In the bronchoalveolar lavage, B-cell number and frequency increased at 1 d post-exposure, Natural Killer cell number and frequency decreased at 7 d post-exposure, and at 27 d post-exposure CD8+ T-cell and CD11b+ cell number and frequency decreased with 0.2 mg/m3 exposure. In the spleen, 0.2 mg/m3 increased CD4+ T-cell frequency at 1 and 7 d post-exposure and at 27 d post-exposure increased CD4+ and CD8+ T-cell number and CD8+ T-cell frequency. B-cells were the only immune cell subset altered in the three tissues (spleen, LLNs, and BALF), suggesting the induction of the adaptive immune response. The increase in lymphocytes in several different organ types also suggests an induction of a systemic inflammatory response occurring following DE exposure. These results show that DE exposure induced modifications of cellularity of phenotypic subsets that may impair immune function and contribute to airway inflammation induced by DE exposure in rats. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2024-12-27",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Immune System\nOccupational Health\nOil and Gas Industry\nParticulate Matter\nRespiratory System\nSafety\nToxicology\nVehicle Emissions"
        }
      ],
      "keyword": [
        "Diesel exhaust\nParticulates\nOil industry\nGas industry\nDiesel engines\nImmune reaction\nToxicology\nInhalation\nImmunological tests\nImmunology"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Philadelphia Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208704",
        "title": "Effects of Inhaled Tier-2 Diesel Engine Exhaust on Immunotoxicity in a Rat Model: A Hazard Identification Study. Part III. Immunotoxicology (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Anderson; Stacey E.\nBaur R\nFedan; Jeffery S.\nLukomska E\nRoberts; Jennifer R.\nShane HL\nWeatherly LM\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/kkvj-587h",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208704",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Effects of Inhaled Tier-2 Diesel Engine Exhaust on Immunotoxicity in a Rat Model: A Hazard Identification Study. Part III. Immunotoxicology (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1107-2024-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1107-2024-0</a>.\nDiesel exhaust (DE) is an air pollutant containing gaseous compounds and particulate matter. Diesel engines are common on gas extraction and oil sites, leading to complex DE exposure to a broad range of compounds through occupational settings. The US EPA concluded that short-term exposure to DE leads to allergic inflammatory disorders of the airways. To further evaluate the immunotoxicity of DE, the effects of whole-body inhalation of 0.2 and 1 mg/m3 DE (total carbon; 6 h/d for 4 days) were investigated 1-, 7-, and 27-days post exposure in Sprague-Dawley rats using an occupationally relevant exposure system. DE exposure of 1 mg/m3 increased total cellularity, number of CD4+ and CD8+ T-cells, and B-cells at 1 d post-exposure in the lung lymph nodes. At 7 d post-exposure to 1 mg/m3, cellularity and the number of CD4+ and CD8+ T-cells decreased in the LLNs. In the bronchoalveolar lavage, B-cell number and frequency increased at 1 d post-exposure, Natural Killer cell number and frequency decreased at 7 d post-exposure, and at 27 d post-exposure CD8+ T-cell and CD11b+ cell number and frequency decreased with 0.2 mg/m3 exposure. In the spleen, 0.2 mg/m3 increased CD4+ T-cell frequency at 1 and 7 d post-exposure and at 27 d post-exposure increased CD4+ and CD8+ T-cell number and CD8+ T-cell frequency. B-cells were the only immune cell subset altered in the three tissues (spleen, LLNs, and BALF), suggesting the induction of the adaptive immune response. The increase in lymphocytes in several different organ types also suggests an induction of a systemic inflammatory response occurring following DE exposure. These results show that DE exposure induced modifications of cellularity of phenotypic subsets that may impair immune function and contribute to airway inflammation induced by DE exposure in rats. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208704",
          "downloadURL": "https://data.cdc.gov/download/kkvj-587h/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208704",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1108-2025-0",
      "title": "Phase Level Assessment of Ergonomic Intervention Effectiveness in Reducing Knee Musculoskeletal Disorder Risks During Residential Roof Shingle Installation (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1108-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1108-2025-0</a>.\nThe prevalence of knee musculoskeletal disorders (MSDs) among roofers due to ergonomically unfavorable kneeling postures during shingle installation is a well-recognized concern. While knee-saving interventions like knee savers (KSs) and knee pads (KPs) have shown potential to reduce MSD risks, their effectiveness across different phases of shingle installation remains unknown. The objective of this study is to assess how interventions of KSs and KPs alleviate risks of MSDs in the knees during various phases of shingle installation. These phases encompass (1) reaching for shingles, (2) placing shingles, (3) grabbing a nail gun, (4) moving to the first nailing position, (5) nailing shingles, (6) replacing the nail gun, and (7) returning to an upright position. To collect data, nine male participants simulated the shingle installation task on a slope-adjustable roof platform (0 degree, 15 degree, and 30 degree slopes) under four intervention conditions: no intervention (NO), with KPs only (KP), with KSs only (KS), and with both KPs and KSs (BO) in a laboratory setting. Knee parameters including maximum flexion, abduction, adduction, and internal/external rotations were measured at all phases to assess intervention impacts through statistical analysis. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Physical Effects Research Branch (PERB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2025-02-18",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Coal\nCoal Mining\nMining\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "Musculoskeletal disorders\nMSD\nKnee protection\nRoofers\nIntervention effectiveness\nRepetitive work\nConstruction\nErgonomics"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Chicago Region [OSHA]\nOhio\nPhiladelphia Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208705",
        "title": "Phase Level Assessment of Ergonomic Intervention Effectiveness in Reducing Knee Musculoskeletal Disorder Risks During Residential Roof Shingle Installation (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Breloff SP\nCarey RE\nDai F\nHawke AL\nMoore KM\nSinsel E\nWarren CM\nWu; John Z.\nZerin N\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/xfin-5shj",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208705",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Phase Level Assessment of Ergonomic Intervention Effectiveness in Reducing Knee Musculoskeletal Disorder Risks During Residential Roof Shingle Installation (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1108-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1108-2025-0</a>.\nThe prevalence of knee musculoskeletal disorders (MSDs) among roofers due to ergonomically unfavorable kneeling postures during shingle installation is a well-recognized concern. While knee-saving interventions like knee savers (KSs) and knee pads (KPs) have shown potential to reduce MSD risks, their effectiveness across different phases of shingle installation remains unknown. The objective of this study is to assess how interventions of KSs and KPs alleviate risks of MSDs in the knees during various phases of shingle installation. These phases encompass (1) reaching for shingles, (2) placing shingles, (3) grabbing a nail gun, (4) moving to the first nailing position, (5) nailing shingles, (6) replacing the nail gun, and (7) returning to an upright position. To collect data, nine male participants simulated the shingle installation task on a slope-adjustable roof platform (0 degree, 15 degree, and 30 degree slopes) under four intervention conditions: no intervention (NO), with KPs only (KP), with KSs only (KS), and with both KPs and KSs (BO) in a laboratory setting. Knee parameters including maximum flexion, abduction, adduction, and internal/external rotations were measured at all phases to assess intervention impacts through statistical analysis. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208705",
          "downloadURL": "https://data.cdc.gov/download/xfin-5shj/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208705",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1109-2025-0",
      "title": "The ETS Domain-Containing Hematopoietic Transcription Factor PU.1 Mediates the Induction of Arachidonate 5-Lipoxygenase by Multi-Walled Carbon Nanotubes in Macrophages In Vitro (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1109-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1109-2025-0</a>.\nFibrogenic multi-walled carbon nanotubes (MWCNTs) polarize macrophages to M1 cells with elevated production of proinflammatory lipid mediators (LMs) to boost acute inflammation. Here we examined the mechanism by which MWCNTs (Mitsui-7) induce arachidonate 5-lypoxygenase (Alox5) critical for production of chemotactic LM leukotriene B4 (LTB4) in murine and human macrophages. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Toxicology and Molecular Biology Branch (TMBB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2025-02-18",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Environmental Exposure\nEnvironmental Health\nEnvironmental Pollution\nMining\nOccupational Exposure\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "Multi-walled carbon nanotubes\nMWCNT\nMacrophages\nNanotoxicology\nHematopoietic system"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Philadelphia Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208706",
        "title": "The ETS Domain-Containing Hematopoietic Transcription Factor PU.1 Mediates the Induction of Arachidonate 5-Lipoxygenase by Multi-Walled Carbon Nanotubes in Macrophages In Vitro (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Gu JK\nLim CS\nMa Q\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/3ix4-m2h6",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208706",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "The ETS Domain-Containing Hematopoietic Transcription Factor PU.1 Mediates the Induction of Arachidonate 5-Lipoxygenase by Multi-Walled Carbon Nanotubes in Macrophages In Vitro (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1109-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1109-2025-0</a>.\nFibrogenic multi-walled carbon nanotubes (MWCNTs) polarize macrophages to M1 cells with elevated production of proinflammatory lipid mediators (LMs) to boost acute inflammation. Here we examined the mechanism by which MWCNTs (Mitsui-7) induce arachidonate 5-lypoxygenase (Alox5) critical for production of chemotactic LM leukotriene B4 (LTB4) in murine and human macrophages. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208706",
          "downloadURL": "https://data.cdc.gov/download/3ix4-m2h6/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208706",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1110-2025-0",
      "title": "Evaluation of a Passive Back-Support Exoskeleton in Bed-to-Chair Patient Handling Tasks (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1110-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1110-2025-0</a>.\nThe objective of this study was to evaluate the effect of a passive back-support exoskeleton on the physical demands of caregivers during bed-to-chair patient handling tasks. Eight participants (5 males and 3 females) performed 4 different patient handling tasks, including 1) lying to sitting, 2) sitting to standing, 3) standing to sitting, and 4) bed to wheelchair transfer with and without the exoskeleton. In certain bed-to-chair patient handling tasks, the exoskeleton (Laevo V2.5) was found to significantly reduce the peak and median values of the hip flexion angles and muscle activities of erector spinae compared to no exoskeleton. The effect of the exoskeleton was task-dependent. The exoskeleton caused a greater reduction of the erector spinae muscle activities of symmetric exertions than the asymmetric exertions. With the exoskeleton, participants adjusted their patient handling strategies by decreasing the hip flexion but increasing the trunk extension. There was a lack of significant changes in the heart rate with the exoskeleton. The results suggest that back-support exoskeletons could play a role in reducing the muscular demand of the low back during certain bed-to-chair patient handling tasks. However, further research would be needed to fully assess its effectiveness and practicality in improving patient-handling techniques. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Physical Effects Research Branch (PERB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2025-02-18",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Cardiovascular System\nErgonomics\nHealth Personnel\nMusculoskeletal Diseases\nMusculoskeletal System\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "Health care workers\nPatient handling\nExoskeletons\nMuscle function\nHeart rate\nMusculoskeletal disorders\nMSD\nBack pain\nErgonomics"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Chicago Region [OSHA]\nIllinois\nPhiladelphia Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208709",
        "title": "Evaluation of a Passive Back-Support Exoskeleton in Bed-to-Chair Patient Handling Tasks (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Alluri CSV\nHawke AL\nHwang J\nZheng L\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/3g9b-sxea",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208709",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Evaluation of a Passive Back-Support Exoskeleton in Bed-to-Chair Patient Handling Tasks (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1110-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1110-2025-0</a>.\nThe objective of this study was to evaluate the effect of a passive back-support exoskeleton on the physical demands of caregivers during bed-to-chair patient handling tasks. Eight participants (5 males and 3 females) performed 4 different patient handling tasks, including 1) lying to sitting, 2) sitting to standing, 3) standing to sitting, and 4) bed to wheelchair transfer with and without the exoskeleton. In certain bed-to-chair patient handling tasks, the exoskeleton (Laevo V2.5) was found to significantly reduce the peak and median values of the hip flexion angles and muscle activities of erector spinae compared to no exoskeleton. The effect of the exoskeleton was task-dependent. The exoskeleton caused a greater reduction of the erector spinae muscle activities of symmetric exertions than the asymmetric exertions. With the exoskeleton, participants adjusted their patient handling strategies by decreasing the hip flexion but increasing the trunk extension. There was a lack of significant changes in the heart rate with the exoskeleton. The results suggest that back-support exoskeletons could play a role in reducing the muscular demand of the low back during certain bed-to-chair patient handling tasks. However, further research would be needed to fully assess its effectiveness and practicality in improving patient-handling techniques. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208709",
          "downloadURL": "https://data.cdc.gov/download/3g9b-sxea/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208709",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1111-2025-0",
      "title": "Glove Performance Dermal Absorption of Fentanyl (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1111-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1111-2025-0</a>.\nWith the increase in opioid sales on the illicit drug market and overdoses, opioid incidents and exposure risk are concerns for first responders, including law enforcement officers. To prevent dermal, mucosal, or inhalation exposure to opioids and other hazardous drugs, first responders rely on personal protective equipment (PPE) - including respirators and gloves - as their last line of defense within the hierarchy of controls. NIOSH, in response to requests from first responders concerning appropriate glove selection (e.g., glove material, thickness), recommended for minimal and moderate anticipated opioid exposures powder-free nitrile gloves with a minimum thickness of 5 +/- 2 mil (i.e., 0.13 +/- 0.05 millimeters [mm]). Some glove manufacturers have recently marketed their gloves claiming fentanyl protection. There is limited empirical PPE performance data for opioids, and no industry standard or test method currently exists for evaluating PPE performance against opioids. The purpose of this study was to provide this empirical data under conditions representative of those encountered in the field to support (1) NIOSH's current opioid PPE recommendations and (2) industry standards and test methods. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Personal Protective Technology Laboratory (NPPTL). Research Branch (RB)",
          "hasEmail": "mailto:ODAdmin@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2025-02-20",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Emergency Responders\nOccupational Exposure\nOccupational Health\nPersonal Protective Equipment\nSafety"
        }
      ],
      "keyword": [
        "Personal protective equipment\nPPE\nGloves\nOccupational exposure\nEmergency responders\nOpioids"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Chicago Region [OSHA]\nOhio\nPennsylvania\nPhiladelphia Region [OSHA]"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208710",
        "title": "Glove Performance Dermal Absorption of Fentanyl (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Fisher EM\nGreenawald LA\nHofacre KC\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/qs7e-6i2a",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208710",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Glove Performance Dermal Absorption of Fentanyl (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1111-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1111-2025-0</a>.\nWith the increase in opioid sales on the illicit drug market and overdoses, opioid incidents and exposure risk are concerns for first responders, including law enforcement officers. To prevent dermal, mucosal, or inhalation exposure to opioids and other hazardous drugs, first responders rely on personal protective equipment (PPE) - including respirators and gloves - as their last line of defense within the hierarchy of controls. NIOSH, in response to requests from first responders concerning appropriate glove selection (e.g., glove material, thickness), recommended for minimal and moderate anticipated opioid exposures powder-free nitrile gloves with a minimum thickness of 5 +/- 2 mil (i.e., 0.13 +/- 0.05 millimeters [mm]). Some glove manufacturers have recently marketed their gloves claiming fentanyl protection. There is limited empirical PPE performance data for opioids, and no industry standard or test method currently exists for evaluating PPE performance against opioids. The purpose of this study was to provide this empirical data under conditions representative of those encountered in the field to support (1) NIOSH's current opioid PPE recommendations and (2) industry standards and test methods. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208710",
          "downloadURL": "https://data.cdc.gov/download/qs7e-6i2a/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208710",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1112-2025-0",
      "title": "Mouse Pulmonary Response Following Solid Surface Composite Dust Inhalation (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1112-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1112-2025-0</a>.\nSolid surface composites (SSCs) are a widely used construction material that can generate dust and volatile organic chemicals (VOCs) during fabrication. Exposure to SSC dust has been linked to pulmonary health effects, including pulmonary fibrosis and lung inflammation. Previous studies have investigated the toxicity of SSC particles using in vitro and in vivo models, but these studies have limitations. For example, they often relied on pre-generated particles that may not accurately represent the size distribution and characteristics of aerosols encountered in real-world settings. Additionally, these models did not capture the co-exposure to VOCs that can occur during SSC fabrication. To address these limitations, we developed a novel apparatus capable of real-time generation of SSC sawing particles and their simultaneous delivery to rodents via whole-body inhalation. This approach allows for a more accurate assessment of SSC toxicity under conditions that better reflect workplace exposure scenarios. The present study utilizes this system to characterize the acute pulmonary response in mice following a 4-day inhalation exposure to real-time generated SSC aerosols, with evaluations at 1, 6, 27, and 56 days post-exposure. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2025-04-02",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Construction Industry\nConstruction Materials\nDust\nLung\nOccupational Health\nParticulate Matter\nRespiratory System\nSafety\nToxicology\nVolatile Organic Compounds"
        }
      ],
      "keyword": [
        "Construction materials\nToxicology\nPulmonary effects\nInhalation studies\nDust particles\nDusts\nVolatile organic compounds\nVOCs"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Philadelphia Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208721",
        "title": "Mouse Pulmonary Response Following Solid Surface Composite Dust Inhalation (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Battelli LA\nFriend SA\nJackson M\nKeeley SL\nKnepp AK\nMandler WK\nMcKinney WG\nQian Y\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/766v-ysx3",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208721",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Mouse Pulmonary Response Following Solid Surface Composite Dust Inhalation (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1112-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1112-2025-0</a>.\nSolid surface composites (SSCs) are a widely used construction material that can generate dust and volatile organic chemicals (VOCs) during fabrication. Exposure to SSC dust has been linked to pulmonary health effects, including pulmonary fibrosis and lung inflammation. Previous studies have investigated the toxicity of SSC particles using in vitro and in vivo models, but these studies have limitations. For example, they often relied on pre-generated particles that may not accurately represent the size distribution and characteristics of aerosols encountered in real-world settings. Additionally, these models did not capture the co-exposure to VOCs that can occur during SSC fabrication. To address these limitations, we developed a novel apparatus capable of real-time generation of SSC sawing particles and their simultaneous delivery to rodents via whole-body inhalation. This approach allows for a more accurate assessment of SSC toxicity under conditions that better reflect workplace exposure scenarios. The present study utilizes this system to characterize the acute pulmonary response in mice following a 4-day inhalation exposure to real-time generated SSC aerosols, with evaluations at 1, 6, 27, and 56 days post-exposure. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208721",
          "downloadURL": "https://data.cdc.gov/download/766v-ysx3/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208721",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1113-2025-0",
      "title": "Developing a Method to Estimate Aerosol Generation During Poultry Slaughtering and Defeathering (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1113-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1113-2025-0</a>.\nInfluenza viruses can be aerosolized during the slaughter of infected chickens, which can increase the risk of zoonotic transmission. We conducted experiments to monitor aerosol generation during slaughtering and defeathering to help identifying methods that produce the least aerosols. During slaughtering experiments, aerosol monitors recorded higher particle concentrations at human breathing height than the barrel height. The median particle concentrations at human breathing height were 67 µg/m3 (IQR 44-121) for the PATS+ monitors and 34 µg/m3 (IQR 34-64) for the SidePak(TM) monitor. For the defeathering experiments, the median particle concentrations recorded by the PATS+ monitors were not significantly different between human breathing height (41 µg/m3, IQR 29-49) and defeathering machine height (37 µg/m3, IQR 29-44). The experimental design allowed us to measure increases in aerosol concentrations during slaughtering and defeathering. This protocol can be used to test airborne particle generation during different slaughtering and defeathering techniques in order to identify procedures that can minimize workers' exposure to potentially hazardous aerosol particles. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Institute for Occupational Safety and Health (NIOSH)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2025-04-02",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nCommunicable Diseases\nFood Industry\nInfluenza"
        },
        {
          "@type": "Concept",
          "prefLabel": "Human\nOccupational Health\nParticulate Matter\nSafety\nViral Diseases"
        }
      ],
      "keyword": [
        "Aerosol particles\nAerosols\nInfectious diseases\nDisease transmission\nZoonoses\nInfluenza\nPoultry\nViral infections\nParticulates\nMonitors"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Atlanta Region [OSHA]\nCalifornia\nGeorgia\nPhiladelphia Region [OSHA]\nSan Francisco Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208881",
        "title": "Developing a Method to Estimate Aerosol Generation During Poultry Slaughtering and Defeathering (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Biswas D\nClark A\nFahad MH\nGiasuddin M\nHassan MZ\nHossain K\nKennedy ED\nKile JC\nLeBoa C\nLindsley; William G.\nMortaza SMG\nRahman M\nRahman MS\nRimi NA\nSaifullah MK\nShanta IS\nSultana R\nSwarna ST\nSwayne DE\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/etak-um6t",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208881",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Developing a Method to Estimate Aerosol Generation During Poultry Slaughtering and Defeathering (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1113-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1113-2025-0</a>.\nInfluenza viruses can be aerosolized during the slaughter of infected chickens, which can increase the risk of zoonotic transmission. We conducted experiments to monitor aerosol generation during slaughtering and defeathering to help identifying methods that produce the least aerosols. During slaughtering experiments, aerosol monitors recorded higher particle concentrations at human breathing height than the barrel height. The median particle concentrations at human breathing height were 67 µg/m3 (IQR 44-121) for the PATS+ monitors and 34 µg/m3 (IQR 34-64) for the SidePak(TM) monitor. For the defeathering experiments, the median particle concentrations recorded by the PATS+ monitors were not significantly different between human breathing height (41 µg/m3, IQR 29-49) and defeathering machine height (37 µg/m3, IQR 29-44). The experimental design allowed us to measure increases in aerosol concentrations during slaughtering and defeathering. This protocol can be used to test airborne particle generation during different slaughtering and defeathering techniques in order to identify procedures that can minimize workers' exposure to potentially hazardous aerosol particles. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208881",
          "downloadURL": "https://data.cdc.gov/download/etak-um6t/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208881",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1114-2025-0",
      "title": "Reductions in Exposures to Simulated Respiratory Aerosols by a Ceiling-Mounted HEPA Air Filtration Unit (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1114-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1114-2025-0</a>.\nSupplemental air filtration can reduce indoor exposure to hazardous aerosols without requiring modifications to building heating, ventilation, and air conditioning (HVAC) systems. Portable air cleaners were widely used during the COVID-19 pandemic, but they can have drawbacks including noise, space obstruction, and electrical cord safety considerations. Built-in air filtration units are an alternative to provide supplemental air filtration. We conducted a case study of a HEPA air filtration unit installed in the ceiling of a conference room using radial laminar flow or square cone ceiling air supply diffusers. A respiratory aerosol simulator exhaled aerosol particles (0.3 to 10 µm), and the particle concentrations were measured in the personal breathing zones of three breathing simulators representing a speaker and two meeting participants. For the speaker, using one square cone supply diffuser reduced inhalation exposure by 49% to 81% while using two square supply diffusers reduced exposure by 68% to 93%. For the participants, the exposures were reduced by 23% to 64% with one square supply diffuser and 58% to 86% with two square supply diffusers. Results when using the radial supply air diffusers were more variable and more dependent on the simulator layouts. Combining the use of cloth face masks on all simulators with the ceiling unit reduced the speaker's exposure by 87% to 99% and the participants' exposures by 84% to 97%. In most cases the ceiling air filtration unit provided protection against simulated respiratory aerosol particles comparable to that seen previously with portable air cleaners. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2025-04-02",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aerosols\nCommunicable Diseases\nOccupational Health\nPersonal Protective Equipment\nRespiratory Protective Devices\nSafety\nVentilation"
        }
      ],
      "keyword": [
        "Aerosol particles\nAerosols\nInfectious diseases\nDisease transmission\nVentilation\nHEPA filters\nHigh-efficiency particulate air filters\nFace masks"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Chicago Region [OSHA]\nOhio\nPhiladelphia Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208886",
        "title": "Reductions in Exposures to Simulated Respiratory Aerosols by a Ceiling-Mounted HEPA Air Filtration Unit (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Blachere; Francoise M.\nBoots T\nCoyle JP\nDerk RC\nLindsley; William G.\nMartin SB Jr.\nMead; Kenneth R.\nNoti JD\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/saug-ip58",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208886",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Reductions in Exposures to Simulated Respiratory Aerosols by a Ceiling-Mounted HEPA Air Filtration Unit (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1114-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1114-2025-0</a>.\nSupplemental air filtration can reduce indoor exposure to hazardous aerosols without requiring modifications to building heating, ventilation, and air conditioning (HVAC) systems. Portable air cleaners were widely used during the COVID-19 pandemic, but they can have drawbacks including noise, space obstruction, and electrical cord safety considerations. Built-in air filtration units are an alternative to provide supplemental air filtration. We conducted a case study of a HEPA air filtration unit installed in the ceiling of a conference room using radial laminar flow or square cone ceiling air supply diffusers. A respiratory aerosol simulator exhaled aerosol particles (0.3 to 10 µm), and the particle concentrations were measured in the personal breathing zones of three breathing simulators representing a speaker and two meeting participants. For the speaker, using one square cone supply diffuser reduced inhalation exposure by 49% to 81% while using two square supply diffusers reduced exposure by 68% to 93%. For the participants, the exposures were reduced by 23% to 64% with one square supply diffuser and 58% to 86% with two square supply diffusers. Results when using the radial supply air diffusers were more variable and more dependent on the simulator layouts. Combining the use of cloth face masks on all simulators with the ceiling unit reduced the speaker's exposure by 87% to 99% and the participants' exposures by 84% to 97%. In most cases the ceiling air filtration unit provided protection against simulated respiratory aerosol particles comparable to that seen previously with portable air cleaners. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208886",
          "downloadURL": "https://data.cdc.gov/download/saug-ip58/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208886",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1115-2025-0",
      "title": "Quantification of 3-Chloro-7-Hydroxy-4-Methylcoumarin (CHMC) in Urine as a Biomarker of Coumaphos Exposure by High-Performance Liquid Chromatography-Fluorescence Detection (HPLC-FLD) (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1115-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1115-2025-0</a>.\nIntroductory Information: The organophosphate pesticide coumaphos is used to control Cattle Tick Fever carried by multiple species of ticks and is a known hazard for workers treating livestock. The USDA Cattle Fever Tick Eradication Program (CFTEP) requires regular blood draws to measure depressed cholinesterase levels as biomarkers of effect of long-term coumaphos exposure, however, the gap between blood draws may miss intermittent high exposures. Urine biomonitoring can supplement blood draws, offering personnel a simple and cost-effective method to monitor short-term exposures. Our objective was to improve and validate a previously published method to analyze the coumaphos metabolite 3-chloro-7-hydroxy-4-methylcoumarin (CHMC). Urine samples were hydrolyzed with glucuronidase and then extracted prior to analysis with high-performance liquid chromatography-fluorescence detection. Method validation tests followed the NIOSH Manual of Analytical Methods evaluation criterion. General Description of Collection Methods: Three urine samples were collected by USDA APHIS from 19 CFTEP study participants potentially exposed to the pesticide coumaphos. A previously developed preparatory and analytical method to determine a biomarker of coumaphos exposure in urine was updated and evaluated following NIOSH NMAM guidelines. Samples were hydrolyzed with glucuronidase, isolated with solid-phase extraction, and analyzed by HPLC-FLD. Method evaluation included calibration curves prepared in pooled control urine and aqueous solution, quality control standards, storage stability, detection limit determination, accuracy and precision of the sample preparation, and recovery from spiked urine. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Zachary G. Robbins",
          "hasEmail": "mailto:twf3@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2025-03-31",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Biomarkers\nInsecticides\nLivestock\nOccupational Health\nOrganophosphates\nSafety"
        }
      ],
      "keyword": [
        "Organophosphorus pesticides\nLivestock industry\nBiomarkers\nExposure assessment\nBiomonitoring"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Chicago Region [OSHA]\nMaryland\nOhio\nPhiladelphia Region [OSHA]"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208925",
        "title": "Quantification of 3-Chloro-7-Hydroxy-4-Methylcoumarin (CHMC) in Urine as a Biomarker of Coumaphos Exposure by High-Performance Liquid Chromatography-Fluorescence Detection (HPLC-FLD) (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208925",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Quantification of 3-Chloro-7-Hydroxy-4-Methylcoumarin (CHMC) in Urine as a Biomarker of Coumaphos Exposure by High-Performance Liquid Chromatography-Fluorescence Detection (HPLC-FLD) (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1115-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1115-2025-0</a>.\nIntroductory Information: The organophosphate pesticide coumaphos is used to control Cattle Tick Fever carried by multiple species of ticks and is a known hazard for workers treating livestock. The USDA Cattle Fever Tick Eradication Program (CFTEP) requires regular blood draws to measure depressed cholinesterase levels as biomarkers of effect of long-term coumaphos exposure, however, the gap between blood draws may miss intermittent high exposures. Urine biomonitoring can supplement blood draws, offering personnel a simple and cost-effective method to monitor short-term exposures. Our objective was to improve and validate a previously published method to analyze the coumaphos metabolite 3-chloro-7-hydroxy-4-methylcoumarin (CHMC). Urine samples were hydrolyzed with glucuronidase and then extracted prior to analysis with high-performance liquid chromatography-fluorescence detection. Method validation tests followed the NIOSH Manual of Analytical Methods evaluation criterion. General Description of Collection Methods: Three urine samples were collected by USDA APHIS from 19 CFTEP study participants potentially exposed to the pesticide coumaphos. A previously developed preparatory and analytical method to determine a biomarker of coumaphos exposure in urine was updated and evaluated following NIOSH NMAM guidelines. Samples were hydrolyzed with glucuronidase, isolated with solid-phase extraction, and analyzed by HPLC-FLD. Method evaluation included calibration curves prepared in pooled control urine and aqueous solution, quality control standards, storage stability, detection limit determination, accuracy and precision of the sample preparation, and recovery from spiked urine. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208925",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208925",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHRD-1116-2025-0",
      "title": "Peracetic Acid Effects on Human Bronchial Cells in an Air Liquid Interface (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1116-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1116-2025-0</a>.\nPeracetic acid (PAA) is utilized as an industrial disinfectant for cleaning and sterilization of water infrastructure, food-safe machinery, surgical implements, and more. PAA typically exists as a mixture with hydrogen peroxide, acetic acid, water, and oxygen. These PAA cleaning solutions have been increasingly implemented in occupational settings due to their environmentally friendly decomposition products but the strong oxidative potential that allows them to effectively sanitize surfaces also underlies their ability to damage human airways. PAA mixtures are regarded as an asthmagen and occupational exposure has been associated with acute asthma-like symptoms such as airway and mucosal irritation, cough, wheeze, and shortness of breath. To evaluate the broad effects of PAA vapor exposure to human bronchial cells in vitro, normal human bronchial epithelial (NHBE) cells were cultured at the air-liquid interface (ALI) and exposures were conducted to PAA vapors during a four-hour exposure window at four concentrations: 0, 3, 12, and 24 ppm. Cells were allowed to recover for four and twenty-four hours to capture a spectrum of post-exposure response. Data was gathered for cytotoxicity, viability, cell layer integrity (via transepithelial electrical resistance measurements and qualitative histological observations), and protein response for proinflammatory mediators Endothelin-1 (ET-1), Interleukin-6 (IL-6), and Interleukin-8 (IL-8). [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD). Pathology and Physiology Research Branch (PPRB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2025-04-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Asthma\nAsthma"
        },
        {
          "@type": "Concept",
          "prefLabel": "Occupational\nCytotoxins\nDisinfectants\nImmune System\nOccupational Health\nOxidants\nPeroxides\nRespiratory System\nSafety"
        }
      ],
      "keyword": [
        "Disinfectants\nPeroxides\nCorrosive materials\nRespiratory irritants\nCytotoxicity\nCell damage\nImmune reaction\nAsthma\nOxidative processes"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Philadelphia Region [OSHA]\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208934",
        "title": "Peracetic Acid Effects on Human Bronchial Cells in an Air Liquid Interface (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/wze2-5h6n",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/208934",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Peracetic Acid Effects on Human Bronchial Cells in an Air Liquid Interface (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHRD-1116-2025-0\"target=_blank\">https://doi.org/10.26616/NIOSHRD-1116-2025-0</a>.\nPeracetic acid (PAA) is utilized as an industrial disinfectant for cleaning and sterilization of water infrastructure, food-safe machinery, surgical implements, and more. PAA typically exists as a mixture with hydrogen peroxide, acetic acid, water, and oxygen. These PAA cleaning solutions have been increasingly implemented in occupational settings due to their environmentally friendly decomposition products but the strong oxidative potential that allows them to effectively sanitize surfaces also underlies their ability to damage human airways. PAA mixtures are regarded as an asthmagen and occupational exposure has been associated with acute asthma-like symptoms such as airway and mucosal irritation, cough, wheeze, and shortness of breath. To evaluate the broad effects of PAA vapor exposure to human bronchial cells in vitro, normal human bronchial epithelial (NHBE) cells were cultured at the air-liquid interface (ALI) and exposures were conducted to PAA vapors during a four-hour exposure window at four concentrations: 0, 3, 12, and 24 ppm. Cells were allowed to recover for four and twenty-four hours to capture a spectrum of post-exposure response. Data was gathered for cytotoxicity, viability, cell layer integrity (via transepithelial electrical resistance measurements and qualitative histological observations), and protein response for proinflammatory mediators Endothelin-1 (ET-1), Interleukin-6 (IL-6), and Interleukin-8 (IL-8). [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/208934",
          "downloadURL": "https://data.cdc.gov/download/wze2-5h6n/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/208934",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHSD-1001-2014-0",
      "title": "Occupational hearing loss (OHL) worker surveillance data: prevalence of hearing loss in the United States by industry (dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHSD-1001-2014-0\"target=_blank\">https://doi.org/10.26616/NIOSHSD-1001-2014-0</a>.\nBackground: Twenty-two million workers are exposed to hazardous noise in the United States. The purpose of this study is to estimate the prevalence of hearing loss among U.S. industries. Methods: We examined 2000-2008 audiograms for male and female workers ages 18-65, who had higher occupational noise exposures than the general population. Prevalence and adjusted prevalence ratios (PRs) for hearing loss were estimated and compared across industries. Results: In our sample, 18% of workers had hearing loss. When compared with the Couriers and Messengers industry sub-sector, workers employed in Mining (PR = 1.65, CI = 1.57-1.73), Wood Product Manufacturing (PR = 1.65, CL = 1.61- 1.70), Construction of Buildings (PR = 1.59, CI = 1.51-1.68), and Real Estate and Rental and Leasing (PR = 1.61, CL = 1.51-1.71) had higher risks for hearing loss. Conclusions: Workers in the Mining, Manufacturing, and Construction industries need better engineering controls for noise and stronger hearing conservation strategies. More hearing loss research is also needed within traditional ''low-risk'' industries like Real Estate. For further information, please contact Liz Masterson at OHLSurveillance@cdc.gov or (513) 841-4291. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Division of Field Studies (DFS). Engineering Health Informatics Branch (EHIB)",
          "hasEmail": "mailto:OHLSurveillance@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2014-05-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aging\nHearing\nHearing Loss\nMen\nNoise\nOccupational Health\nRisk Assessment\nRisk Factors\nSafety\nWomen"
        }
      ],
      "keyword": [
        "Hearing\nHearing-loss\nHumans\nMen\nWomen\nAudiometers\nWorkers\nAge-groups\nNoise-exposure\nExposure-levels\nHazards\nNoise\nRisk-factors\nSurveillance-programs\nAuthor Keywords: occupational hearing loss\nhearing impairment\nhazardous noise\nnoise-induced hearing loss\noccupational noise exposure standard"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Ohio\nOSHA Region 5"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248244",
        "title": "Occupational hearing loss (OHL) worker surveillance data: prevalence of hearing loss in the United States by industry (dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/a2mg-p2ni",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/248244",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Occupational hearing loss (OHL) worker surveillance data: prevalence of hearing loss in the United States by industry (dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHSD-1001-2014-0\"target=_blank\">https://doi.org/10.26616/NIOSHSD-1001-2014-0</a>.\nBackground: Twenty-two million workers are exposed to hazardous noise in the United States. The purpose of this study is to estimate the prevalence of hearing loss among U.S. industries. Methods: We examined 2000-2008 audiograms for male and female workers ages 18-65, who had higher occupational noise exposures than the general population. Prevalence and adjusted prevalence ratios (PRs) for hearing loss were estimated and compared across industries. Results: In our sample, 18% of workers had hearing loss. When compared with the Couriers and Messengers industry sub-sector, workers employed in Mining (PR = 1.65, CI = 1.57-1.73), Wood Product Manufacturing (PR = 1.65, CL = 1.61- 1.70), Construction of Buildings (PR = 1.59, CI = 1.51-1.68), and Real Estate and Rental and Leasing (PR = 1.61, CL = 1.51-1.71) had higher risks for hearing loss. Conclusions: Workers in the Mining, Manufacturing, and Construction industries need better engineering controls for noise and stronger hearing conservation strategies. More hearing loss research is also needed within traditional ''low-risk'' industries like Real Estate. For further information, please contact Liz Masterson at OHLSurveillance@cdc.gov or (513) 841-4291. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/248244",
          "downloadURL": "https://data.cdc.gov/download/a2mg-p2ni/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/248244",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHSD-1002-2017-0",
      "title": "Economic Burden of Occupational Fatal Injuries in the United States Based on the Census of Fatal Occupational Injuries, 2003-2010 (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHSD-1002-2017-0\"target=_blank\">https://doi.org/10.26616/NIOSHSD-1002-2017-0</a>.\nIt is widely acknowledged that there are costs involved with fatal injury to workers. These costs cross numerous boundaries, and generally address the overall costs to victims and the affected groups, and to society as a whole. This represents a cause for concern to employers, worker groups, policy makers, medical personnel, economists and others interested in workplace safety and health. This broad-reaching burden can include social costs, organizational costs, familial and interpersonal group costs, as well as personal costs such as suffering and loss of companionship. The data in the accompanying tables focus on monetary costs of fatal occupational injury which largely consist of foregone wages, but also include the direct costs of medical care and the indirect costs of household production and certain ancillary measures. These data represent a continuation of prior research by the National Institute for Occupational Safety and Health (NIOSH) that attempted to delimit the economic consequences of workplace injury for earlier years. Interested parties should be aware that these data serve as a supplemental update to prior NIOSH publications which described the magnitude and circumstances of occupational injury deaths for earlier years. The current data build on this research, and the findings are compelling. Over the period studied, 2003-2010, the costs from these 42,380 premature deaths exceeded $44 billion, an amount greater than the reportable gross domestic product for some States. These findings inform the national will to reduce this severe toll on our nation's workers, institutions, communities, and the nation itself. Researchers and concerned parties within the occupational and public health professions, academia, organizations focusing on workplace safety, labor unions and the business community have all proven to be willing and avid users of this data, and have used this research to continue their efforts, in concert with continuing NIOSH research efforts, to reduce the great toll that injury imposes on our workers, workplaces, and Nation. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Division of Field Studies and Evaluation (DFSE)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2017-08-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Accidents"
        },
        {
          "@type": "Concept",
          "prefLabel": "Occupational\nMortality\nOccupational Health\nSafety"
        }
      ],
      "keyword": [
        "Safety-research\nMortality-data\nMortality-rates\nInjuries\nTraumatic-injuries\nSociological-factors\nInformation-retrieval-systems\nWorkers\nSurveillance-programs\nStatistical-analysis\nAccidents"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/210718",
        "title": "Economic Burden of Occupational Fatal Injuries in the United States Based on the Census of Fatal Occupational Injuries, 2003-2010 (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Biddle; Elyce A.\nKeane P\nNational Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/mkyn-icix",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/210718",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Economic Burden of Occupational Fatal Injuries in the United States Based on the Census of Fatal Occupational Injuries, 2003-2010 (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHSD-1002-2017-0\"target=_blank\">https://doi.org/10.26616/NIOSHSD-1002-2017-0</a>.\nIt is widely acknowledged that there are costs involved with fatal injury to workers. These costs cross numerous boundaries, and generally address the overall costs to victims and the affected groups, and to society as a whole. This represents a cause for concern to employers, worker groups, policy makers, medical personnel, economists and others interested in workplace safety and health. This broad-reaching burden can include social costs, organizational costs, familial and interpersonal group costs, as well as personal costs such as suffering and loss of companionship. The data in the accompanying tables focus on monetary costs of fatal occupational injury which largely consist of foregone wages, but also include the direct costs of medical care and the indirect costs of household production and certain ancillary measures. These data represent a continuation of prior research by the National Institute for Occupational Safety and Health (NIOSH) that attempted to delimit the economic consequences of workplace injury for earlier years. Interested parties should be aware that these data serve as a supplemental update to prior NIOSH publications which described the magnitude and circumstances of occupational injury deaths for earlier years. The current data build on this research, and the findings are compelling. Over the period studied, 2003-2010, the costs from these 42,380 premature deaths exceeded $44 billion, an amount greater than the reportable gross domestic product for some States. These findings inform the national will to reduce this severe toll on our nation's workers, institutions, communities, and the nation itself. Researchers and concerned parties within the occupational and public health professions, academia, organizations focusing on workplace safety, labor unions and the business community have all proven to be willing and avid users of this data, and have used this research to continue their efforts, in concert with continuing NIOSH research efforts, to reduce the great toll that injury imposes on our workers, workplaces, and Nation. [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/210718",
          "downloadURL": "https://data.cdc.gov/download/mkyn-icix/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/210718",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.26616/NIOSHSD-1003-2019-0",
      "title": "Occupational Hearing Loss (OHL) Worker Surveillance Data: Trends in Worker Hearing Loss by Industry Sector, 1981-2010 (Dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHSD-1003-2019-0\"target=_blank\">https://doi.org/10.26616/NIOSHSD-1003-2019-0</a>.\nDe-identified audiometric data for male and female workers were collected from audiometric testing service providers and others. NIOSH recruited these data providers to participate in the OHL Surveillance Project at conferences, via letter and e-mail, and over the phone. In most or all cases, the audiograms were from workers who were exposed to hazardous noise levels on the job (?85 dBA) and were tested to comply with government regulations or safety recommendations. The dataset for this paper included audiograms for the years 1981 through 2010. The industry for each audiogram was coded by either the data provider or NIOSH using the North American Industry Classification System (NAICS). A more detailed description of the study and data exclusions can be found in the published article: Masterson EA, Deddens JA Themann CL, Bertke S, Calvert GA. (2015). Trends in worker hearing loss by industry sector, 1981-2010. <a href=\"https://doi.org/10.1002/ajim.22429\"target=\"_blank\">American Journal of Industrial Medicine, 58(4):392-401.</a> [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Division of Field Studies (DFS). Engineering Health Informatics Branch (EHIB)",
          "hasEmail": "mailto:OHLSurveillance@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2019-09-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Construction Industry\nHearing Loss\nHearing Loss"
        },
        {
          "@type": "Concept",
          "prefLabel": "Noise-Induced\nMining\nNoise\nNoise"
        },
        {
          "@type": "Concept",
          "prefLabel": "Occupational\nOccupational Exposure\nOccupational Health\nRisk Assessment\nSafety\nSense Organs"
        }
      ],
      "keyword": [
        "Hearing-loss\nNoise-exposure\nNoise-induced-hearing-loss\nSurveillance-programs\nEmployee-exposure\nAudiological-testing\nOccupations\nIndustrial-noise\nRisk-analysis\nHealth-care\nSociology\nMining-industry\nConstruction-industry\nAuthor Keywords: occupational hearing loss\nmaterial hearing impairment\nhazardous noise\nnoise-induced hearing loss\nsurveillance\ntrends\nprevalence\nincidence"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Ohio\nOSHA Region 5"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/221380",
        "title": "Occupational Hearing Loss (OHL) Worker Surveillance Data: Trends in Worker Hearing Loss by Industry Sector, 1981-2010 (Dataset)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "https://data.cdc.gov/d/c294-dri5",
          "type": "Data.CDC.gov dataset identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/221380",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Occupational Hearing Loss (OHL) Worker Surveillance Data: Trends in Worker Hearing Loss by Industry Sector, 1981-2010 (Dataset)",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://doi.org/10.26616/NIOSHSD-1003-2019-0\"target=_blank\">https://doi.org/10.26616/NIOSHSD-1003-2019-0</a>.\nDe-identified audiometric data for male and female workers were collected from audiometric testing service providers and others. NIOSH recruited these data providers to participate in the OHL Surveillance Project at conferences, via letter and e-mail, and over the phone. In most or all cases, the audiograms were from workers who were exposed to hazardous noise levels on the job (?85 dBA) and were tested to comply with government regulations or safety recommendations. The dataset for this paper included audiograms for the years 1981 through 2010. The industry for each audiogram was coded by either the data provider or NIOSH using the North American Industry Classification System (NAICS). A more detailed description of the study and data exclusions can be found in the published article: Masterson EA, Deddens JA Themann CL, Bertke S, Calvert GA. (2015). Trends in worker hearing loss by industry sector, 1981-2010. <a href=\"https://doi.org/10.1002/ajim.22429\"target=\"_blank\">American Journal of Industrial Medicine, 58(4):392-401.</a> [Description provided by NIOSH]",
          "accessURL": "https://stacks.cdc.gov/view/cdc/221380",
          "downloadURL": "https://data.cdc.gov/download/c294-dri5/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/221380",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://doi.org/10.5061/dryad.4dr37pm",
      "title": "The burden of Hepatitis C virus infection in Punjab, India: a population-based serosurvey [Supporting dataset]",
      "description": "Introduction: Hepatitis C virus (HCV) infection prevalence is believed to be elevated in Punjab, India; however, state-wide prevalence data are not available. An understanding of HCV prevalence, risk factors and genotype distribution can be used to plan control measures in Punjab. Methods: A cross-sectional, state-wide, population-based serosurvey using a multi-stage stratified cluster sampling design was conducted October 2013 to April 2014. Children aged >5 years and adults were eligible to participate. Demographic and risk behavior data were collected, and serologic specimens were obtained and tested for anti-HCV antibody, HCV Ribonucleic acid (RNA) on anti-HCV positive samples, and HCV genotype. Prevalence estimates and adjusted odds ratios for risk factors were calculated from weighted data and stratified by urban/rural residence. Results: 5,543 individuals participated in the study with an overall weighted anti-HCV prevalence of 3.6% (95% Confidence Interval [CI]: 3.0%-4.2%) and chronic infection (HCV Ribonucleic acid test positive) of 2.6% (95% CI: 2.0%-3.1%). Anti-HCV was associated with being male (adjusted odds ratio 1.52; 95% CI: 1.08-2.14), living in a rural area (adjusted odds ratio 2.53; 95% CI: 1.62-3.95) and was most strongly associated with those aged 40-49 (adjusted odds ratio 40-49 vs 19-29-year-olds 3.41; 95% CI: 1.90-6.11). Anti-HCV prevalence increased with each blood transfusion received (adjusted odds ratio 1.36; 95% CI: 1.10-1.68) and decreased with increasing education, (adjusted odds ratio 0.37 for graduate-level vs. primary school/no education; 95% CI: 0.16-0.82). Genotype 3 (58%) was most common among infected individuals. Discussion: The study findings, including the overall prevalence of chronic HCV infection, associated risk factors and demographic characteristics, and genotype distribution can guide prevention and control efforts, including treatment provision. In addition to high-risk populations, efforts targeting rural areas and adults aged >40 would be the most effective for identifying infected individuals.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Adam Trickey",
          "hasEmail": "mailto:adam.trickey@bristol.ac.uk"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention (NCHHSTP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2019-07-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Adolescent\nAdult\nChild\nChild"
        },
        {
          "@type": "Concept",
          "prefLabel": "Preschool\nCross-Sectional Studies\nFemale\nGeography"
        },
        {
          "@type": "Concept",
          "prefLabel": "Medical\nHepacivirus\nHepatitis C\nHepatitis C Antibodies\nHumans\nMale\nMiddle Aged\nPrevalence\nRisk Factors\nSeroepidemiologic Studies\nYoung Adult\nHepatitis C Virus\nSerosurvey"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "India"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://datadryad.org/stash/dataset/doi:10.5061/dryad.4dr37pm",
        "title": "The burden of Hepatitis C virus infection in Punjab, India: a population-based serosurvey [Supporting dataset]"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "PLoS One"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Sood; Ajit\nSuryaprasad; A.\nTrickey; A.\nKanchi; S.\nMidha; V.\nFoster; M. A.\nBennett; E.\nKamili; S.\nAlvarez-Bognar; F.\nShadaker; S.\nSurlikar; V.\nGarg; R.\nMittal; P.\nSharma; S.\nMay; M. T.\nVickerman; P.\nAverhoff; F."
      },
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/122190",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "The burden of Hepatitis C virus infection in Punjab, India: a population-based serosurvey [Supporting dataset]",
          "description": "Introduction: Hepatitis C virus (HCV) infection prevalence is believed to be elevated in Punjab, India; however, state-wide prevalence data are not available. An understanding of HCV prevalence, risk factors and genotype distribution can be used to plan control measures in Punjab. Methods: A cross-sectional, state-wide, population-based serosurvey using a multi-stage stratified cluster sampling design was conducted October 2013 to April 2014. Children aged >5 years and adults were eligible to participate. Demographic and risk behavior data were collected, and serologic specimens were obtained and tested for anti-HCV antibody, HCV Ribonucleic acid (RNA) on anti-HCV positive samples, and HCV genotype. Prevalence estimates and adjusted odds ratios for risk factors were calculated from weighted data and stratified by urban/rural residence. Results: 5,543 individuals participated in the study with an overall weighted anti-HCV prevalence of 3.6% (95% Confidence Interval [CI]: 3.0%-4.2%) and chronic infection (HCV Ribonucleic acid test positive) of 2.6% (95% CI: 2.0%-3.1%). Anti-HCV was associated with being male (adjusted odds ratio 1.52; 95% CI: 1.08-2.14), living in a rural area (adjusted odds ratio 2.53; 95% CI: 1.62-3.95) and was most strongly associated with those aged 40-49 (adjusted odds ratio 40-49 vs 19-29-year-olds 3.41; 95% CI: 1.90-6.11). Anti-HCV prevalence increased with each blood transfusion received (adjusted odds ratio 1.36; 95% CI: 1.10-1.68) and decreased with increasing education, (adjusted odds ratio 0.37 for graduate-level vs. primary school/no education; 95% CI: 0.16-0.82). Genotype 3 (58%) was most common among infected individuals. Discussion: The study findings, including the overall prevalence of chronic HCV infection, associated risk factors and demographic characteristics, and genotype distribution can guide prevention and control efforts, including treatment provision. In addition to high-risk populations, efforts targeting rural areas and adults aged >40 would be the most effective for identifying infected individuals.",
          "accessURL": "https://datadryad.org/stash/dataset/doi:10.5061/dryad.4dr37pm",
          "downloadURL": "https://datadryad.org/stash/downloads/file_stream/38025",
          "format": "XLSX Spreadsheet file",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/122190",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://drugs.ncats.io/",
      "title": "Inxight Informatics System",
      "description": "The National Center for Advancing Translational Sciences (NCATS) has developed Inxight Drugs as a comprehensive portal for drug development information. NCATS Inxight Drugs contains information on ingredients in medicinal products. NCATS Inxight Drugs incorporates and unifies a wealth of data, including manually curated data supplied by the FDA and private companies, and provides marketing and regulatory status, rigorous drug ingredient definitions, biological activity, clinical use, and more.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Advancing Translational Sciences (NCATS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Clinical research",
        "Other"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://drugs.ncats.io/substances"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://dsld.od.nih.gov/",
      "title": "Dietary supplement label data",
      "description": "Dietary supplement label data- text and image- for populating the dietary supplement labels database.  The database is hosted and maintained at the General Service Administration’s cloud.gov and can be viewed at https://dsld.od.nih.gov/\n\nOnly dietary supplements sold in the United States are purchased.  Each product’s label text and corresponding label image are purchased in a uniform and consistent format in order to facilitate rapid importation into the database.  Label text from each unique dietary supplement label is submitted in a consistent and organized format in basic electronic data files with accessible fields and consistent with the database data schema specified.  \n\nThe data files are delivered for batch load via JSON format. The deliverables (label text and images) are submitted every month as a complete replacement of the previous version. Label image from each unique dietary supplement label is delivered in a consistent and organized format in a basic electronic PDF file with resolution suitable for Web display.  Data are required to follow the defined DSLD Data Definitions, Business Rules, and Data Schema.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NIH Office of the Director (OD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-05-01",
      "issued": "2013-10-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "dietary supplement label data"
        }
      ],
      "keyword": [
        "supplement",
        "label",
        "data"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://dsld.od.nih.gov/",
        "title": "Dietary Supplement Label Database"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "NIH Office of Dietary Supplements"
        }
      ],
      "rights": [
        "Open, public"
      ],
      "creator": {
        "@type": "Agent",
        "name": "NIH Office of Dietary Supplements (ODS)"
      },
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      "title": "High-throughput computational X-ray absorption spectroscopy [supporting K-edge XANES spectra data]",
      "description": "X-ray absorption spectroscopy (XAS) is a widely-used materials characterization technique. In this work we present a database of computed XAS spectra, using the Green's formulation of the multiple scattering theory implemented in the FEFF code. With more than 500,000 K-edge X-ray absorption near edge (XANES) spectra for more than 40,000 unique materials, this database constitutes the largest existing collection of computed XAS spectra to date. The data is openly distributed via the Materials Project, enabling researchers across the world to access it for free and use it for comparisons with experiments and further analysis. K-edge XANES spectra data computed using FEFF9.",
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      "title": "Clinical characteristics of a large cohort of US participants enrolled in the National Amyotrophic Lateral Sclerosis (ALS) Registry, 2010-2015 [Supporting dataset]",
      "description": "Background: Amyotrophic lateral sclerosis (ALS) is a progressive fatal disease with a varying range of clinical characteristics. Objective: To describe the clinical characteristics in a large cohort of ALS participants enrolled in the National ALS Registry. Methods: Data from ALS participants who completed the Registry's online clinical survey module during 2010-2015 were analyzed to determine characteristics, such as site of onset, associated symptoms, time of symptom onset to diagnosis, time of diagnosis to hospice referral, and pharmacological and non-pharmacological interventions. Results: Of the 1758 participants who completed the survey, 60.9% were male, 62.1% were 50-69 years old, and 95.5% white. Approximately, 72.0% reported initial limb weakness onset of disease, followed by bulbar (22.1%), and trunk/global onset (6.1%). Other symptoms ever experienced included cramps (56.7%), fasciculations (56.3%), and dysarthria (33.0%). The median time between an increase of muscle cramps until an ALS diagnosis was 12 months; limb onset participants had cramps longer preceding diagnosis versus those with bulbar onset. The most frequent interventions used included riluzole (48.3% currently using), wheelchairs/scooters (32.8%), and noninvasive breathing equipment (30.0%). Participants with trunk/global onset were referred to hospice almost four times earlier than others. Conclusions: These data show how ALS clinical characteristics differ widely in a large cohort of participants preceding diagnosis and reflect variations in disease onset, progression, and prognosis. Better characterization of symptom onset may assist clinicians in diagnosing ALS sooner, which could lead to earlier therapeutic interventions.",
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          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Datasets/nis/nisteenpuf08.dat",
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    },
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Datasets/nis/nisteenpuf09.dat",
      "title": "nisteenpuf09",
      "description": "The 2009 public-use file from the National Immunization Survey–Teen (NIS–Teen), produced by the National Center for Health Statistics (CDC), containing survey data on immunizations for U.S. adolescents. It is part of the NIS–Teen data series covering 2008–2014.",
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table020.xls",
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      "inventoried": "2026-09-27"
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          "description": "Table 21 from the NCHS Health, United States tables reports infant, fetal, and perinatal mortality rates in the United States by race for selected years 1950–2005. This distribution is a XLS file for the “Table021” dataset.",
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      "inventoried": "2026-09-27"
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          "description": "A National Center for Health Statistics (CDC) table from Health, United States presenting average annual infant mortality rates by race and Hispanic origin of mother for U.S. geographic divisions and states for the periods 1989–1991, 2000–2002, and 2003–2005. This distribution is a XLS file for the “Table022” dataset.",
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      "modified": "2017-04-21",
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      "inventoried": "2026-09-27"
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      "title": "Table023",
      "description": "A table from the National Center for Health Statistics (CDC) showing neonatal mortality rates in the United States by race and Hispanic origin of mother, presented for geographic divisions and states as average annual rates for 1989–1991, 2000–2002, and 2003–2005.",
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          "description": "A table from the National Center for Health Statistics (CDC) showing neonatal mortality rates in the United States by race and Hispanic origin of mother, presented for geographic divisions and states as average annual rates for 1989–1991, 2000–2002, and 2003–2005. This distribution is a XLS file for the “Table023” dataset.",
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      "inventoried": "2026-09-27"
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table024.xls",
      "title": "Table024",
      "description": "Table 24 from Health, United States (2009) reports infant mortality rates and international rankings for selected countries and territories for selected years from 1960 through 2005, produced by the National Center for Health Statistics (NCHS) at the CDC.",
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      "inventoried": "2026-09-27"
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      "title": "Table089",
      "description": "This table from the National Center for Health Statistics (NCHS) reports use of mammography among U.S. women 40 years of age and over, by selected characteristics for selected years 1987–2005. It is published as Table 89 in the Health, United States updated trend tables.",
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      "inventoried": "2026-09-27"
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table091.xls",
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      "publisher": {
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          "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm",
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          "modified": "2014-05-14"
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      ],
      "modified": "2014-05-14",
      "landingPage": {
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        "title": "Table091",
        "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table092.xls",
      "title": "Table092",
      "description": "Table 92 from the Health, United States updated tables reports emergency department visits within the past 12 months among adults aged 18 and over, by selected characteristics for the United States for selected years 1997–2006. The table is provided by the National Center for Health Statistics (NCHS) at the CDC.",
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      "modified": "2017-04-21",
      "landingPage": {
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        "title": "Table092",
        "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm"
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      "inventoried": "2026-09-27"
    },
    {
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table093.xls",
      "title": "Table093",
      "description": "Table 93 from the National Center for Health Statistics (CDC) reports injury-related visits to hospital emergency departments in the United States by sex, age, and intent and mechanism of injury, with average annual estimates for 1995–1996, 1999–2000, and 2005–2006.",
      "contactPoint": {
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      "publisher": {
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      },
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          "description": "Table 93 from the National Center for Health Statistics (CDC) reports injury-related visits to hospital emergency departments in the United States by sex, age, and intent and mechanism of injury, with average annual estimates for 1995–1996, 1999–2000, and 2005–2006. This distribution is a XLS file for the “Table093” dataset.",
          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table093.xls",
          "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm",
          "format": "XLS",
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          "modified": "2017-04-25"
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      ],
      "modified": "2017-04-25",
      "landingPage": {
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        "title": "Table093",
        "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table094.xls",
      "title": "Table094",
      "description": "Table 94 from the National Center for Health Statistics' Health, United States updated trend tables reports visits to physician offices, hospital outpatient departments, and hospital emergency departments in the United States, broken down by selected characteristics for selected years 1995–2006.",
      "contactPoint": {
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        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
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        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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        ]
      },
      "accessRights": "public",
      "rights": [
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      ],
      "distribution": [
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          "title": "Table094.xls",
          "description": "Table 94 from the National Center for Health Statistics' Health, United States updated trend tables reports visits to physician offices, hospital outpatient departments, and hospital emergency departments in the United States, broken down by selected characteristics for selected years 1995–2006. This distribution is a XLS file for the “Table094” dataset.",
          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table094.xls",
          "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm",
          "format": "XLS",
          "mediaType": "application/vnd.ms-excel",
          "modified": "2017-04-25"
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      ],
      "modified": "2017-04-25",
      "landingPage": {
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        "title": "Table094",
        "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table095.xls",
      "title": "Table095",
      "description": "Table 95, published by the National Center for Health Statistics (CDC), provides data on visits to primary care generalists and specialist physicians in the United States for selected years 1980–2006, broken down by selected characteristics and type of physician.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
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      "publisher": {
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        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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        ]
      },
      "accessRights": "public",
      "rights": [
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      ],
      "distribution": [
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          "@type": "dcat:Distribution",
          "title": "Table095.xls",
          "description": "Table 95, published by the National Center for Health Statistics (CDC), provides data on visits to primary care generalists and specialist physicians in the United States for selected years 1980–2006, broken down by selected characteristics and type of physician. This distribution is a XLS file for the “Table095” dataset.",
          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table095.xls",
          "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm",
          "format": "XLS",
          "mediaType": "application/vnd.ms-excel",
          "modified": "2017-04-25"
        }
      ],
      "modified": "2017-04-25",
      "landingPage": {
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        "title": "Table095",
        "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table096.xls",
      "title": "Table096",
      "description": "Table 96, produced by the National Center for Health Statistics (CDC), reports dental visits in the past year by selected characteristics for the United States for 1997, 2005, and 2006.",
      "contactPoint": {
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        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
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      "publisher": {
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        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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      },
      "accessRights": "public",
      "rights": [
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      "distribution": [
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          "title": "Table096.xls",
          "description": "Table 96, produced by the National Center for Health Statistics (CDC), reports dental visits in the past year by selected characteristics for the United States for 1997, 2005, and 2006. This distribution is a XLS file for the “Table096” dataset.",
          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table096.xls",
          "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm",
          "format": "XLS",
          "mediaType": "application/vnd.ms-excel",
          "modified": "2017-04-25"
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      ],
      "modified": "2017-04-25",
      "landingPage": {
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        "title": "Table096",
        "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table097.xls",
      "title": "Table097",
      "description": "Table 97 from the National Center for Health Statistics' Health, United States 2009 reports selected prescription and nonprescription drugs recorded during physician office visits and hospital outpatient department visits in the United States for 1995–1996 and 2004–2005, broken down by sex and age.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
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      "publisher": {
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        "name": "National Center for Health Statistics (NCHS)",
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      },
      "accessRights": "public",
      "rights": [
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      ],
      "distribution": [
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          "title": "Table097.xls",
          "description": "Table 97 from the National Center for Health Statistics' Health, United States 2009 reports selected prescription and nonprescription drugs recorded during physician office visits and hospital outpatient department visits in the United States for 1995–1996 and 2004–2005, broken down by sex and age. This distribution is a XLS file for the “Table097” dataset.",
          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table097.xls",
          "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm",
          "format": "XLS",
          "mediaType": "application/vnd.ms-excel",
          "modified": "2017-04-25"
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      ],
      "modified": "2017-04-25",
      "landingPage": {
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        "title": "Table097",
        "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table098.xls",
      "title": "Table098",
      "description": "Table 98 from the National Center for Health Statistics’ Health, United States updated trend tables reports prescription drug use in the past month in the United States, broken down by sex, age group, and race and Hispanic origin for 1988–1994 and 2001–2004.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
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      "publisher": {
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      "inventoried": "2026-09-27"
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      "description": "Table from Health, United States (2009 updated trend tables) produced by the National Center for Health Statistics (CDC) showing admissions to mental health organizations in the United States, broken down by type of service and type of organization for selected years 1986–2004.",
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          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table100.xls",
          "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm",
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      "modified": "2017-04-21",
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      "inventoried": "2026-09-27"
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table101.xls",
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      "description": "Table 101 from the National Center for Health Statistics’ Health, United States tables reports counts or rates of persons with hospital stays in the past year, by selected characteristics, for the United States in 1997, 2005, and 2006.",
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          "title": "Table101.xls",
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          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table101.xls",
          "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm",
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      ],
      "modified": "2017-04-25",
      "landingPage": {
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        "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm"
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      "inventoried": "2026-09-27"
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    {
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table102.xls",
      "title": "Table102",
      "description": "National Center for Health Statistics (CDC) table presenting United States data for selected years 1980–2006 on discharges, days of care, and average length of stay in nonfederal short-stay hospitals, broken down by selected characteristics; part of the Health, United States updated trend tables.",
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          "title": "Table102.xls",
          "description": "National Center for Health Statistics (CDC) table presenting United States data for selected years 1980–2006 on discharges, days of care, and average length of stay in nonfederal short-stay hospitals, broken down by selected characteristics; part of the Health, United States updated trend tables. This distribution is a XLS file for the “Table102” dataset.",
          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table102.xls",
          "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm",
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      "modified": "2017-04-25",
      "landingPage": {
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        "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm"
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      "inventoried": "2026-09-27"
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    {
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table103.xls",
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      "description": "This NCHS table reports discharges from nonfederal short-stay hospitals in the United States for 1990, 2000, and 2006, broken down by sex, age, and selected first‑listed diagnosis.",
      "contactPoint": {
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        "fn": "National Center for Health Statistics",
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      "publisher": {
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          "description": "This NCHS table reports discharges from nonfederal short-stay hospitals in the United States for 1990, 2000, and 2006, broken down by sex, age, and selected first‑listed diagnosis. This distribution is a XLS file for the “Table103” dataset.",
          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table103.xls",
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          "modified": "2017-04-25"
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      "modified": "2017-04-25",
      "landingPage": {
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        "title": "Table103",
        "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm"
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      "inventoried": "2026-09-27"
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table104.xls",
      "title": "Table104",
      "description": "Table 104 from the Health, United States updated trend tables, produced by the National Center for Health Statistics (CDC), reports discharge rates and average lengths of stay in nonfederal short‑stay hospitals in the United States for 1990, 2000, and 2006, broken down by sex, age, and selected first‑listed diagnosis.",
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      "publisher": {
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          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table104.xls",
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          "modified": "2017-04-25"
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      "landingPage": {
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        "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm"
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      "inventoried": "2026-09-27"
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table105.xls",
      "title": "Table105",
      "description": "Table 105 from the Health, United States series (National Center for Health Statistics) reports counts of discharges with at least one procedure in nonfederal short-stay hospitals in the United States for selected years 1990–2006, broken down by sex, age, and selected procedures.",
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      "accessRights": "public",
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          "description": "Table 105 from the Health, United States series (National Center for Health Statistics) reports counts of discharges with at least one procedure in nonfederal short-stay hospitals in the United States for selected years 1990–2006, broken down by sex, age, and selected procedures. This distribution is a XLS file for the “Table105” dataset.",
          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table105.xls",
          "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm",
          "format": "XLS",
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          "modified": "2017-04-25"
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      ],
      "modified": "2017-04-25",
      "landingPage": {
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        "title": "Table105",
        "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm"
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      "inventoried": "2026-09-27"
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table106.xls",
      "title": "Table106",
      "description": "Table 106 presents U.S. hospital admissions, average length of stay, outpatient visits, and outpatient surgery for selected years 1975–2006, disaggregated by hospital ownership type and hospital size, produced by the National Center for Health Statistics (CDC).",
      "contactPoint": {
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        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
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      "publisher": {
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      },
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      "distribution": [
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          "description": "Table 106 presents U.S. hospital admissions, average length of stay, outpatient visits, and outpatient surgery for selected years 1975–2006, disaggregated by hospital ownership type and hospital size, produced by the National Center for Health Statistics (CDC). This distribution is a XLS file for the “Table106” dataset.",
          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table106.xls",
          "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm",
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          "modified": "2017-04-25"
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      "modified": "2017-04-25",
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        "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table107.xls",
      "title": "Table107",
      "description": "A National Center for Health Statistics (CDC) table reporting nursing home residents aged 65 years and over in the United States for selected years 1973–2004, disaggregated by age, sex, and race.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
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      "publisher": {
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        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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      "distribution": [
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          "@type": "dcat:Distribution",
          "title": "Table107.xls",
          "description": "A National Center for Health Statistics (CDC) table reporting nursing home residents aged 65 years and over in the United States for selected years 1973–2004, disaggregated by age, sex, and race. This distribution is a XLS file for the “Table107” dataset.",
          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table107.xls",
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          "modified": "2017-04-25"
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      ],
      "modified": "2017-04-25",
      "landingPage": {
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        "title": "Table107",
        "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table108.xls",
      "title": "Table108",
      "description": "Table 108 from the Health, United States updated trend tables (2009) provides counts of persons employed in health service sites in the United States, broken down by type of site and by sex for 2000–2007, produced by the National Center for Health Statistics (CDC).",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
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      "publisher": {
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      },
      "accessRights": "public",
      "rights": [
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      "distribution": [
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          "title": "Table108.xls",
          "description": "Table 108 from the Health, United States updated trend tables (2009) provides counts of persons employed in health service sites in the United States, broken down by type of site and by sex for 2000–2007, produced by the National Center for Health Statistics (CDC). This distribution is a XLS file for the “Table108” dataset.",
          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table108.xls",
          "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm",
          "format": "XLS",
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          "modified": "2017-04-25"
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      ],
      "modified": "2017-04-25",
      "landingPage": {
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        "title": "Table108",
        "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm"
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      "inventoried": "2026-09-27"
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    {
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table109.xls",
      "title": "Table109",
      "description": "Table 109 from the National Center for Health Statistics’ Health, United States updated trend tables reports counts of active physicians and physicians in patient care by U.S. geographic division and state for selected years 1975–2006.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
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      "publisher": {
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        "subOrganizationOf": [
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      "accessRights": "public",
      "rights": [
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      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Table109.xls",
          "description": "Table 109 from the National Center for Health Statistics’ Health, United States updated trend tables reports counts of active physicians and physicians in patient care by U.S. geographic division and state for selected years 1975–2006. This distribution is a XLS file for the “Table109” dataset.",
          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table109.xls",
          "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm",
          "format": "XLS",
          "mediaType": "application/vnd.ms-excel",
          "modified": "2017-04-25"
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      ],
      "modified": "2017-04-25",
      "landingPage": {
        "@type": "Document",
        "title": "Table109",
        "accessURL": "https://www.cdc.gov/nchs/hus/updatedtables_completelist.htm"
      },
      "inventoried": "2026-09-27"
    },
    {
      "@type": "dcat:Dataset",
      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table110.xls",
      "title": "Table110",
      "description": "Table 110 from the National Center for Health Statistics (Health, United States 2009 updated trend tables) reports doctors of medicine by place of medical education and by activity for the United States and outlying U.S. areas for selected years 1975–2006.",
      "contactPoint": {
        "@type": "vcard:Kind",
        "fn": "National Center for Health Statistics",
        "hasEmail": "mailto:cdcinfo@cdc.gov"
      },
      "publisher": {
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        "name": "National Center for Health Statistics (NCHS)",
        "subOrganizationOf": [
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      },
      "accessRights": "public",
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      "distribution": [
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      "inventoried": "2026-09-27"
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      "inventoried": "2026-09-27"
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          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table116.xls",
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      "inventoried": "2026-09-27"
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table117.xls",
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      "inventoried": "2026-09-27"
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          "description": "Counts of community hospital beds and their average annual percentage change, by U.S. geographic division and state, for selected years 1960–2006, produced by the National Center for Health Statistics (CDC). This distribution is a XLS file for the “Table118” dataset.",
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      "inventoried": "2026-09-27"
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      "inventoried": "2026-09-27"
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          "description": "Table 148 from the National Center for Health Statistics (CDC) Health, United States tables showing per‑capita personal health care expenditures by state of residence in the United States for selected years 1991–2004. This distribution is a XLS file for the “Table148” dataset.",
          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table148.xls",
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table149.xls",
      "title": "Table149",
      "description": "Table 149 from the National Center for Health Statistics (CDC) reports Medicare enrollees, enrollees in managed care, payment per enrollee, and short‑stay hospital utilization by geographic region and state in the United States for 1994 and 2006.",
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          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table149.xls",
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      "inventoried": "2026-09-27"
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    {
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus08tables/Table150.xls",
      "title": "Table150",
      "description": "Table of Medicaid measures — recipients, recipients in managed care, payments per recipient, and recipients per 100 persons below the poverty level — by U.S. geographic region and state for selected fiscal years 1989–2005, from the Health, United States updated trend tables produced by the National Center for Health Statistics (CDC).",
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      ],
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      "inventoried": "2026-09-27"
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      "description": "Table 151, from the National Center for Health Statistics (CDC), reports persons without health insurance coverage by state for the United States for the average annual periods 1995–1997 through 2004–2006.",
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      "title": "AsthCh",
      "description": "Data behind the Asthma topic’s featured charts on the NCHS \"Health, United States\" page, produced by the National Center for Health Statistics (NCHS). It includes current asthma prevalence by age (lowest prevalence in children 0–4 years) and the percentage of children who had an asthma attack in the past 12 months by poverty level (2019 highest among children below 100% of the federal poverty level).",
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      "description": "An Excel file linked from the National Center for Health Statistics (NCHS) Births topic page that provides the underlying birth statistics and tables used on that page, produced by NCHS at the CDC.",
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      "description": "National Center for Health Statistics data from the Health, United States 2020–2021 tables on the \"History of Cancer\" topic, containing reported history of cancer in the United States broken down by age groups and by race/ethnicity over time.",
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      "description": "National Center for Health Statistics (CDC) tables on dental visits by U.S. adults, showing the percentage who had a dental visit in the past year by federal poverty level and trends from 2009–2019.",
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          "description": "National Center for Health Statistics (CDC) tables on dental visits by U.S. adults, showing the percentage who had a dental visit in the past year by federal poverty level and trends from 2009–2019. This distribution is a XLSX file for the “DentAd” dataset.",
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      "description": "National Center for Health Statistics (CDC) data providing annual estimates for 2009–2019 of the percentage of children in the United States who had a dental visit in the past year, broken down by family income level (percent of federal poverty level).",
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          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus20-21tables/DentCh.xlsx",
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      "inventoried": "2026-09-27"
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus20-21tables/EDAd.xlsx",
      "title": "EDAd",
      "description": "Hospitalization tables from the National Center for Health Statistics (CDC) providing emergency department visit data for adults, including 2019 ED visit rates by family poverty level.",
      "contactPoint": {
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      "distribution": [
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          "description": "Hospitalization tables from the National Center for Health Statistics (CDC) providing emergency department visit data for adults, including 2019 ED visit rates by family poverty level. This distribution is a XLSX file for the “EDAd” dataset.",
          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus20-21tables/EDAd.xlsx",
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      "description": "Data from the National Center for Health Statistics (CDC) providing the underlying figures for the Hospitalization page’s featured emergency department visit charts (Health, United States 2020–2021 tables), including measures such as ED visit prevalence by income—for example, adults below 100% of the federal poverty level in 2019.",
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          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus20-21tables/EDCh.xlsx",
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      "description": "Tables from the National Center for Health Statistics' Health, United States 2020–2021 publication providing estimates of functional limitation categories (no difficulty; some difficulty; a lot of difficulty or cannot do at all) with breakdowns by age group and poverty level for the United States.",
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          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Publications/Health_US/hus20-21tables/FxLimit.xlsx",
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          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/datasets/nvss/bridgepop/icenA1_4.zip",
          "accessURL": "https://www.cdc.gov/nchs/nvss/bridged_race/data_documentation.htm",
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      "identifier": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/datasets/nvss/bridgepop/pcenv2002.zip",
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      "description": "Table 1 from the NCHS bridged-race population files provides the White resident population by State and Hispanic origin for the United States for the year 2000.",
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          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/datasets/nvss/bridgepop/table1.xls",
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      "description": "Table 2 from the National Center for Health Statistics (NCHS) at the CDC provides counts of the Black or African American resident population in the United States for the year 2000, broken down by state and by Hispanic origin.",
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          "accessURL": "https://www.cdc.gov/nchs/nvss/bridged_race.htm",
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      "description": "Table 3 from the NCHS bridged‑race population files provides counts of the American Indian or Alaska Native resident population by state and by Hispanic origin for the United States for the year 2000.",
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      "description": "Table 4 providing the Asian resident population in the United States for 2000, disaggregated by state and by Hispanic origin, produced by the National Center for Health Statistics as part of the NCHS bridged‑race population estimates.",
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          "downloadURL": "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/datasets/nvss/bridgepop/table4.xls",
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    },
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      "title": "covid-isolation-pub-2025",
      "description": "Public-facing code for modeling analysis of duration of isolation for COVID-19",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC Info",
          "hasEmail": "mailto:contact.cfa@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-02-11",
      "issued": "2025-08-25",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://github.com/CDCgov/covid19-forecast-hub",
      "title": "Forecast submissions and associated vintages of forecast targets for the COVIND-19 Hub",
      "description": "The forecast submissions (and perhaps associated vintages provided of forecast targets) for the COVID Hub",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Predict Support",
          "hasEmail": "mailto:PredictSupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Forecasting and Analytics (CFA), Predict",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "status": "active",
      "accrualPeriodicity": "weekly",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://github.com/CDCgov/lib-hl7v2-bumblebee",
      "title": "lib-hl7v2-bumblebee",
      "description": "The lib-hl7v2-bumblebee library takes an HL7 v2.x message and transforms it into a JSON tree.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC Info",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-07-24",
      "issued": "2024-08-06",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://github.com/CDCgov/rsv-forecast-hub",
      "title": "Forecast submissions and associated vintages of forecast targets for the RSV Hub",
      "description": "The forecast submissions (and perhaps associated vintages provided of forecast targets) for the RSV Hub",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Predict Support",
          "hasEmail": "mailto:PredictSupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Forecasting and Analytics (CFA), Predict",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
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              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "status": "active",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://gnomad.broadinstitute.org/",
      "title": "gnomAD Genome Aggregation Database",
      "description": "The Genome Aggregation Database (gnomAD) is a large-scale resource that aggregates and harmonizes exome and genome sequencing data from diverse cohorts to provide high-quality human genetic variation data. It offers allele frequencies, constraint metrics, and variant annotations designed to support rare disease research, variant interpretation, and studies of human population genetics. gnomAD is openly accessible and continually updated, providing a comprehensive, standardized reference for researchers working across clinical and genomic sciences.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://gnomad.broadinstitute.org/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://grants.nih.gov/__extra/icos-data/{ICO}.json",
      "title": "NIH Institute, Center, and Office Profile Data",
      "description": "Organization-specific JSON used to provide structured content for NIH Institute, Center, and Office profiles. The organization acronym is substituted for {ICO}.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Extramural Research (OER) Webmaster",
          "hasEmail": "mailto:OERWebmaster03@od.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Extramural Research (OER)",
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            "subOrganizationOf": [
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "NIH Grants"
        }
      ],
      "keyword": [
        "NIH institutes",
        "NIH centers",
        "NIH offices",
        "organization profiles",
        "JSON"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute of Health (NIH)"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://grants.nih.gov/funding/find-a-fit-for-your-research/highlighted-topics",
      "title": "NIH Highlighted Topics Public Table and Data Exports",
      "description": "Public table of NIH Highlighted Topics, including topic title, lead and participating NIH organizations, posted date, and expiration date, with export options in CSV, XML, JSON, and TXT formats.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Extramural Research (OER) Webmaster",
          "hasEmail": "mailto:OERWebmaster03@od.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Extramural Research (OER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "NIH Grants"
        }
      ],
      "keyword": [
        "NIH grants",
        "highlighted topics",
        "research priorities",
        "funding opportunities",
        "NIH organizations",
        "CSV",
        "XML",
        "JSON",
        "TXT"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute of Health (NIH)"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://grants.nih.gov/grants/guide/newsfeed/fundingopps.xml",
      "title": "NIH Guide RSS Feed",
      "description": "Daily updates to announcements published in the NIH Guide for Grants and Contracts. The NIH Guide now primarily publishes policy and informational notices; new NOFOs are published through Grants.gov.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Extramural Research (OER) Webmaster",
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Extramural Research (OER)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "NIH Grants"
        }
      ],
      "keyword": [
        "NIH Guide",
        "announcements",
        "policy notices",
        "informational notices",
        "RSS",
        "XML"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute of Health (NIH)"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://grants.nih.gov/podcasts/All_About_Grants/AAG_Feed.xml",
      "title": "All About Grants Podcast Feed",
      "description": "RSS/XML feed containing podcast episode titles, publication information, descriptions, and links to episode audio.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Extramural Research (OER) Webmaster",
          "hasEmail": "mailto:OERWebmaster03@od.nih.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Extramural Research (OER)",
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            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "NIH Grants"
        }
      ],
      "keyword": [
        "All About Grants",
        "NIH grants",
        "podcasts",
        "episodes",
        "audio",
        "RSS",
        "XML"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
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      ],
      "rightsHolder": [
        {
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          "name": "National Institute of Health (NIH)"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://grants.nih.gov/web_services/",
      "title": "NIH Guide XML Feeds by Institute or Center",
      "description": "Separate XML feeds by NIH Institute or Center for sponsored and participating Guide records, with active and expired feed options. These include notices and legacy funding-opportunity records.",
      "contactPoint": [
        {
          "@type": "Kind",
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      ],
      "publisher": {
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        "name": "Office of Extramural Research (OER)",
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              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "NIH Grants"
        }
      ],
      "keyword": [
        "NIH Guide",
        "institutes and centers",
        "sponsored records",
        "participating organizations",
        "active records",
        "expired records",
        "XML"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute of Health (NIH)"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://hcmi-searchable-catalog.nci.nih.gov/",
      "title": "HCMI Searchable Catalog",
      "description": "HCMI Searchable Catalog is a continuously updated resource for querying the available next-generation models developed by the Human Cancer Models Initiative (HCMI). Within the Catalog, users can search by patient demographics, tumor, and model elements including age at diagnosis, sex, treatment information, clinical tumor diagnosis, primary site, clinical stage, and type of model (e.g. 3D-organoid, 2D-conditionally reprogrammed cells), open-access masked somatic MAF variants, etc.",
      "contactPoint": [
        {
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      ],
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        "@type": "Organization",
        "name": "National Cancer Institute (NCI)",
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          {
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            "name": "National Institutes of Health (NIH)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Clinical research",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://ocg.cancer.gov/data/data-access"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
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      "identifier": "https://hcup-us.ahrq.gov",
      "title": "Healthcare Cost and Utilization Project (HCUP)",
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      "contactPoint": [
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          "hasEmail": "mailto:hcup@ahrq.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Quality Improvement and Patient Safety (CQuIPS)",
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        ]
      },
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      "modified": "2026-08-12",
      "issued": "1988-01-01",
      "theme": [
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        },
        {
          "@type": "Concept",
          "prefLabel": "procedure (operating room and non-operating room)"
        },
        {
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          "prefLabel": "age"
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          "prefLabel": "payer (incl self-pay"
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          "@type": "Concept",
          "prefLabel": "no charge)"
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          "prefLabel": "residence (county"
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        {
          "@type": "Concept",
          "prefLabel": "rural"
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        {
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          "prefLabel": "state"
        },
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        },
        {
          "@type": "Concept",
          "prefLabel": "region"
        },
        {
          "@type": "Concept",
          "prefLabel": "national)"
        },
        {
          "@type": "Concept",
          "prefLabel": "patient safety"
        },
        {
          "@type": "Concept",
          "prefLabel": "inpatient quality and emergency department (ED) quality"
        },
        {
          "@type": "Concept",
          "prefLabel": "preventable hospitalizations and ED visits"
        }
      ],
      "keyword": [
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        "ED visits",
        "ambulatory surgery",
        "HCUP"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://hcup-us.ahrq.gov/",
        "title": "Healthcare Cost and Utilization Project (HCUP)"
      },
      "rightsHolder": [
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      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "Source data from HCUP Partners (https://hcup-us.ahrq.gov/partners.jsp?SID)"
        }
      ],
      "rights": [
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      ],
      "status": "active",
      "accrualPeriodicity": "annually",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://hcup-us.ahrq.gov/databases.jsp",
        "title": "https://hcup-us.ahrq.gov/databases.jsp"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "HCUPnet",
          "description": "Visualizations and excel table downloads",
          "accessURL": "https://datatools.ahrq.gov/hcupnet/",
          "downloadURL": "https://datatools.ahrq.gov/hcupnet/",
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          "rights": [
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          ],
          "modified": "2026-06-15",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://datatools.ahrq.gov/hcupnet/",
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          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "restricted - partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "HCUP Fast Stats",
          "description": "Visualizations and excel table downloads",
          "accessURL": "https://datatools.ahrq.gov/hcup-fast-stats/",
          "downloadURL": "https://datatools.ahrq.gov/hcup-fast-stats/",
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          "rights": [
            "This data is in the public domain."
          ],
          "modified": "2026-05-15",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://datatools.ahrq.gov/hcup-fast-stats/",
            "title": "HCUP Fast Stats"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "restricted - partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "HCUP Central Distributor",
          "description": "Site to purchase state and nationwide databases",
          "accessURL": "https://cdors.ahrq.gov/",
          "downloadURL": "https://cdors.ahrq.gov/",
          "format": "vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://www.ahrq.gov/ and https://hcup-us.ahrq.gov/team/NationwideDUA.jsp and https://hcup-us.ahrq.gov/team/StateDUA.jsp",
          "rights": [
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          ],
          "modified": "2026-09-02",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://cdors.ahrq.gov/",
            "title": "HCUP Central Distributor"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "restricted - partly"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "HCUP Summary Trend Tables",
          "description": "Excel tables",
          "accessURL": "https://hcup-us.ahrq.gov/reports/trendtables/summarytrendtables.jsp",
          "downloadURL": "https://hcup-us.ahrq.gov/reports/trendtables/summarytrendtables.jsp",
          "format": "vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://www.ahrq.gov/ and https://hcup-us.ahrq.gov/team/NationwideDUA.jsp and https://hcup-us.ahrq.gov/team/StateDUA.jsp",
          "rights": [
            "HCUP DUA requirements. This data table is in the public domain."
          ],
          "modified": "2026-08-05",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://hcup-us.ahrq.gov/reports/trendtables/summarytrendtables.jsp",
            "title": "HCUP Summary Trend Tables"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "restricted - partly"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://hcup-us.ahrq.gov/nedsoverview.jsp",
      "title": "Healthcare Cost and Utilization Project (HCUP)",
      "description": "HCUP is a family of healthcare databases and related software tools and roducts developed through a Federal-State-Industry partnership and sponsored by AHRQ.  Through the CDC DataHub, hospitalization and emergency department visits data are analyzed for asthma by available demographic characteristics to inform public health professionals, the public, and national, state, and local decisionmakers on the state of asthma.\n\n(CDC/NCEH/DEHSP/AAQB uses these data as is [no questions added] from AHRQ Center for Quality Improvement and Patient Safety [via CDC Data Hub] to conduct national surveillance on asthma-related hospitalizations and emergency department visits)",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC Data Hub",
          "hasEmail": "mailto:DataHubSupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Asthma and Air Quality Branch (AAQB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Agency for Healthcare Research and Quality (AHRQ). Dataset accessed via CDC DataHub",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "restricted public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://healthit.gov/data/about/#digital-health-companies-survey",
      "title": "National Survey of Digital Health Companies",
      "description": "The National Survey on Progress and Challenges with APIs: Perspectives from Digital Health Companies or “Digital Health Companies” survey is a national survey of digital health companies that tracks their experience connecting and integrating technology with electronic health record (EHR) vendors. This ONC-funded survey follows work funded by the California Health Care Foundation in partnership with ONC. Survey last administered beginning February 2026 and closed July 2026. No fixed temporal range of data asset other than year of data, as data represent respondent experiences as of the date of survey administration, which may vary.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Wes Barker",
          "hasEmail": "mailto:wesley.barker@hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health IT (ONC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "restricted public",
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Office of the National Coordinator for Health IT (ONC)"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "University of California at San Franscisco (UCSF)"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://healthit.gov/data/about/#health-information-organization-survey",
      "title": "National Survey of Health Information Exchange Organizations",
      "description": "The Health Information Organization (HIO) survey is a national survey of health information networks that enable networked exchange at the regional, state, and local level. ONC funded the survey beginning in 2019 in partnership with the University of California at San Francisco and Civitas Networks for Health. This is a biennial survey for 2025 and 2027. No fixed temporal range of data asset other than year of data, as data represent respondent experiences as of the date of survey administration, which may vary.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Wei Chang",
          "hasEmail": "mailto:wei.chang@hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health IT (ONC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "restricted public",
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Office of the National Coordinator for Health IT (ONC)"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "Civitas Networks for Health"
        },
        {
          "@type": "Agent",
          "name": "University of California at San Franscisco (UCSF)"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://healthverity.com/marketplace/",
      "title": "HealthVerity Marketplace",
      "description": "The HealthVerity Marketplace provides de-identified, interoperable real-world healthcare and consumer data—including medical and pharmacy claims, EHR, laboratory, provider, and social determinants of health data—that can be linked at the patient level to support research and healthcare analytics.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Michael Furukawa",
          "hasEmail": "mailto:michael.furukawa@ahrq.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Financing, Access, and Cost Trends (CFACT)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Agency for Healthcare Research and Quality (AHRQ)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "issued": "2017-04-25",
      "keyword": [
        "health insurance claims"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://healthverity.com/marketplace/",
        "title": "HealthVerity Marketplace"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "HealthVerity"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "HealthVerity"
        }
      ],
      "creator": {
        "@type": "Agent",
        "name": "HealthVerity"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "CONTRACT-47QTCA23D006F/75Q80124F80012",
          "type": "purchased data asset ID"
        }
      ],
      "status": "completed",
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "https://hemonc.org/wiki/Main_Page",
      "title": "HemOnc Wiki",
      "description": "HemOnc.org is the largest freely available medical wiki of interventions, regimens, and general information relevant to the fields of hematology and oncology.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Cancer Institute (NCI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Clinical research"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://hemonc.org/wiki/Main_Page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://hhs.gov/id/ahrq/meps-hc-restricted",
      "title": "Medical Expenditure Panel Survey-Household Component (MEPS-HC) restricted",
      "description": "The Medical Expenditure Panel Survey Household Component (MEPS-HC) collects healthcare use and expenditure data from a sample of families and individuals in selected communities across the United States",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Anita Soni",
          "hasEmail": "mailto:Anita.Soni@ahrq.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Financing, Access, and Cost Trends (CFACT)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Agency for Healthcare Research and Quality (AHRQ)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "issued": "1996-01-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Healthcare Expenditures"
        }
      ],
      "keyword": [
        "Healthcare expenses",
        "Out of pocket expenditures",
        "Chronic Conditions",
        "Insurance",
        "income",
        "Access to care",
        "prescription Drugs."
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://meps.ahrq.gov/mepsweb/index.jsp",
        "title": "The Medical Expenditure Panel Survey"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Agency for Healthcare Research and Quality"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "U.S. Population"
        }
      ],
      "rights": [
        "MEPS is protected under the Privacy Act. Data will be kept private to the extent allowed by law. Individuals and organizations will be assured of the confidentiality of their replies under Section 944(c) of the Public Health Service Act."
      ],
      "creator": {
        "@type": "Agent",
        "name": "AHRQ in collaboration with Westat; INC."
      },
      "isReferencedBy": [
        "https://meps.ahrq.gov/mepsweb/"
      ],
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "CONTRACT-75Q80124D00001",
          "type": "purchased data asset ID"
        }
      ],
      "status": "active",
      "accrualPeriodicity": "annually",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://meps.ahrq.gov/mepsweb/data_stats/download_data_files.jsp",
        "title": "Medical Expenditure Panel Survey-Household Component (MEPS-HC)"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Medical Expenditure Panel Survey-Household Component (MEPS-HC)",
          "description": "Household expenditure data in various formats inlcuding Excel",
          "accessURL": "https://meps.ahrq.gov/mepsweb/survey_comp/household.jsp",
          "downloadURL": "https://meps.ahrq.gov/mepsweb/data_stats/download_data_files.jsp",
          "format": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://www.ahrq.gov/",
          "rights": [
            "Reserved - available in FSRDC for approved projects"
          ],
          "modified": "2026-08-28",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://meps.ahrq.gov/mepsweb/data_stats/download_data_files.jsp",
            "title": "Medical Expenditure Panel Survey-Household Component (MEPS-HC)"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "restricted - fully",
              "specificRestriction": "Confidentiality",
              "restrictionNote": "Confidential data is restricted and alllowed access only to the approved projects."
            }
          ],
          "cuiRestriction": {
            "@type": "CUIRestriction",
            "cuiBannerMarking": "https://meps.ahrq.gov/mepsweb/data_stats/onsite_datacenter.jsp",
            "designationIndicator": "AHRQ Data Center (ADC)",
            "requiredIndicatorPerAuthority": [
              "OMB Clearance - every 3 years"
            ]
          },
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "restricted - fully"
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "@id": "https://meps.ahrq.gov/mepsweb/data_stats/download_data_files_detail.jsp?cboPufNumber=HC-012",
          "title": "Medical Expenditure Panel Survey-Household Component (MEPS-HC)",
          "description": "The Medical Panel Expenditure Survey (MEPS-HC) collects healthcare use and expenditure data from a sample of families and individuals in selected communities across the United States"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://hhs.gov/id/ahrq/meps-ic-restricted",
      "title": "Medical Expenditure Panel Survey-Insurance Component (MEPS-IC) restricted",
      "description": "The Medical Expenditure Panel Survey Insurance Component (MEPS-IC) collects data from a sample of private and public-sector employers on the health insurance plans offered, benefits, annual premiums, annual contributions by employers and employees, eligibility, and employer characteristics.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Anita Soni",
          "hasEmail": "mailto:Anita.Soni@ahrq.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Financing, Access, and Cost Trends (CFACT)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Agency for Healthcare Research and Quality (AHRQ)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "issued": "1996-01-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Employer sponsored insurance"
        }
      ],
      "keyword": [
        "Health Insurance - Employer sponsored",
        "premiums",
        "deductibles"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://meps.ahrq.gov/mepsweb/index.jsp",
        "title": "The Medical Expenditure Panel Survey"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Agency for Healthcare Research and Quality"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "U.S. Census Bureau"
        }
      ],
      "rights": [
        "This request is consistent with the general information collection guidelines of 5 CFR\n1320.5(d)(2). No special circumstances apply."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Census Bureau in collaboration with AHRQ."
      },
      "isReferencedBy": [
        "https://meps.ahrq.gov/mepsweb/"
      ],
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "IAA-26-205F-96",
          "type": "purchased data asset ID"
        }
      ],
      "status": "active",
      "accrualPeriodicity": "annually",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://meps.ahrq.gov/mepsweb/data_stats/summ_tables/meps-ic-table-series.shtml",
        "title": "Medical Expenditure Panel Survey-Insurance Component (MEPS-IC)"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Medical Expenditure Panel Survey-Insurance Component (MEPS-IC)",
          "description": "Employer sponsored estimates in PDF and spreadsheet formats",
          "accessURL": "https://meps.ahrq.gov/mepsweb/survey_comp/Insurance.jsp",
          "downloadURL": "https://meps.ahrq.gov/mepsweb/data_stats/summ_tables/meps-ic-table-series.shtml",
          "format": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://www.ahrq.gov/",
          "rights": [
            "Reserved - available in FSRDC for approved projects"
          ],
          "modified": "2026-07-24",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://meps.ahrq.gov/mepsweb/data_stats/summ_tables/meps-ic-table-series.shtml",
            "title": "Medical Expenditure Panel Survey-Insurance Component (MEPS-IC)"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "restricted - fully",
              "specificRestriction": "Confidentiality",
              "restrictionNote": "MEPS-IC Micro  dataset is only available for FSRDC for approved projects."
            }
          ],
          "cuiRestriction": {
            "@type": "CUIRestriction",
            "cuiBannerMarking": "https://www.census.gov/about/adrm/fsrdc.html",
            "designationIndicator": "Federal Statistical Research Data Centers (FSRDC)",
            "requiredIndicatorPerAuthority": [
              "OMB Clearance - every 3 years"
            ]
          },
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "restricted - fully"
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "@id": "https://meps.ahrq.gov/mepsweb/data_stats/summ_tables/meps-ic-table-series.shtml",
          "title": "Medical Expenditure Panel Survey-Insurance Component (MEPS-IC)",
          "description": "The Medical Panel Expenditure Survey (MEPS-IC) collects data from a sample of private and public-sector employers on the health insurance plans offered, benefits, annual premiums, annual contributions by employers and employees, eligibility, and employer characteristics."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://hhs.gov/id/data-integration/meps-nhis",
      "title": "MEPS/NHIS Integration",
      "description": "This interagency agreement addresses funds to be provided by AHRQ to support the NHIS and for expenses incurred by NCHS to provide data files for integrating the NHIS and the MEPS. The MEPS sample comes from the NHIS.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Adriana Hernandez-Viver",
          "hasEmail": "mailto:Adriana.Hernandez-Viver@ahrq.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Financing, Access, and Cost Trends (CFACT)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Agency for Healthcare Research and Quality (AHRQ)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "issued": "1996-01-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "MEPS sample"
        }
      ],
      "keyword": [
        "MEPS sample"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://hhs.gov/id/data-integration/meps-nhis",
        "title": "MEPS/NHIS Integration"
      },
      "contributor": [
        {
          "@type": "Agent",
          "name": "NCHS"
        }
      ],
      "rights": [
        "The VHA will provide detailed use and cost data from the VHA Corporate Data Warehouse-VA system of record for annual cohorts of MEPS participants who obtained VHA treatment and signed authorization forms."
      ],
      "creator": {
        "@type": "Agent",
        "name": "NCHS"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "IAA-25-243F-98",
          "type": "purchased data asset ID"
        }
      ],
      "status": "active",
      "accrualPeriodicity": "annually",
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "https://hhs.gov/id/data-integration/meps-va-data",
      "title": "MEPS Data Sharing between the VA and AHRQ",
      "description": "This interagency agreement indicates that VHA will provide detailed use and cost data from the VHA Corporate Data Warehouse-VA system of record of annual cohorts of MEPS participants who obtained VHA treatment and signed authorization forms.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Adriana Hernandez-Viver",
          "hasEmail": "mailto:Adriana.Hernandez-Viver@ahrq.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Financing, Access, and Cost Trends (CFACT)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Agency for Healthcare Research and Quality (AHRQ)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "issued": "1996-01-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "MEPS participants who obtained VHA treatment and signed authorization forms"
        }
      ],
      "keyword": [
        "MEPS VHA participants"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://hhs.gov/id/data-integration/meps-va-data",
        "title": "MEPS Data Sharing between the VA and AHRQ"
      },
      "contributor": [
        {
          "@type": "Agent",
          "name": "VHA"
        }
      ],
      "rights": [
        "Under this agreement, CMS provides AHRQ with the requested data from the Chronic Condition Warehouse/Virtual Research Data Center (CCW/VRDC). CMS will make the appropriate minimally necessary data available to approved"
      ],
      "creator": {
        "@type": "Agent",
        "name": "VHA"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "IAA-25-749F-20",
          "type": "purchased data asset ID"
        }
      ],
      "status": "active",
      "accrualPeriodicity": "annually",
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "https://hhs.gov/id/data-integration/orphan-drug",
      "title": "Orphan Drug Database",
      "description": "Provides a complete and up-to-date list of orphan drugs, up-to-date National Drug Codes (NDCs)  for these drugs, and FDA approved orphan and non-orphan indications and common off-label indications coded into ICD-10-CMs. Information about dosage form and strength is also included.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Adriana Hernandez-Viver",
          "hasEmail": "mailto:Adriana.Hernandez-Viver@ahrq.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Financing, Access, and Cost Trends (CFACT)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Agency for Healthcare Research and Quality (AHRQ)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "issued": "2021-06-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Orphan drug database"
        }
      ],
      "keyword": [
        "Orphan drug database"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://hhs.gov/id/data-integration/orphan-drug",
        "title": "Orphan Drug Database"
      },
      "rights": [
        "This database will only be used for analyses to prepare the MEPS data and will not be published or available to members of the public."
      ],
      "creator": {
        "@type": "Agent",
        "name": "To be determined"
      },
      "status": "active",
      "accrualPeriodicity": "annually",
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "https://hivdb.stanford.edu/",
      "title": "HIV Drug Resistance Database",
      "description": "The Stanford HIV Drug Resistance Database (HIVDB) is an essential resource for public health officials monitoring ADR and TDR, for scientists developing new ARV drugs, and for HIV care providers managing patients with HIV drug resistance (HIVDR). Researchers studying HIVDR also use HIVDB to place their findings in the context of previous studies and to perform meta-analyses that require data from large numbers of studies, making it possible to discover new knowledge that cannot be discovered from a single study.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Allergy and Infectious Diseases (NIAID)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Clinical research",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://hivdb.stanford.edu/pages/documentPage/user_guide.pdf"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://hpo.jax.org/",
      "title": "Human Phenotype Ontology (HPO)",
      "description": "The Human Phenotype Ontology (HPO) project provides an ontology of medically relevant phenotypes, disease-phenotype annotations, and the algorithms that operate on these. The HPO can be used to support differential diagnostics, translational research, and a number of applications in computational biology by providing the means to compute over the clinical phenotype. The HPO is being used for computational deep phenotyping and precision medicine as well as integration of clinical data into translational research.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Sequence biology",
        "Computational biology"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://ictv.global/",
      "title": "International Committee on Taxonomy of Viruses (ICTV)",
      "description": "The International Committee on Taxonomy of Viruses (ICTV) is developing a single, universal taxonomic scheme for all the viruses infecting animals (vertebrates, invertebrates and protozoa), plants (higher plants and algae), fungi, bacteria and archaea.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
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      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Allergy and Infectious Diseases (NIAID)",
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            "@type": "Organization",
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        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
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      ],
      "keyword": [
        "Sequence biology",
        "Other"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://ictv.global/taxonomy"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://immunespace.org/",
      "title": "ImmuneSpace",
      "description": "ImmuneSpace is a powerful data management and analysis engine where datasets can be easily explored and analyzed using state-of-the-art computational tools. The data in ImmuneSpace comes from the NIAID Human Immunology Project Consortium (HIPC) and is linked to a subset of data from the ImmPort database",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
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        "@type": "Organization",
        "name": "National Institute of Allergy and Infectious Diseases (NIAID)",
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        ]
      },
      "accessRights": "public",
      "theme": [
        {
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          "prefLabel": "human"
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      ],
      "keyword": [
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        "Computational biology",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://immunespace.org/query/filters"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://itf.samhsa.gov/ibhs/login",
      "title": "Behavioral Health Services Information System (BHSIS) Inventory of Substance Use and Mental Health Treatment Facilities (I-TF)",
      "description": "The I-TF includes a master list of all organized substance use treatment and mental health treatment programs known to SAMHSA, including facility name, location, phone number, website, and services provided.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Center for Behavioral Health Statistics and Quality (CBHSQ)",
          "hasEmail": "mailto:SAMHSAInfo@samhsa.hhs.gov"
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      ],
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        "@type": "Organization",
        "name": "Center for Behavioral Health Statistics and Quality (CBHSQ)",
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          {
            "@type": "Organization",
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                "name": "U.S. Department of Health and Human Services"
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          }
        ]
      },
      "accessRights": "non-public",
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "https://knowledge.brain-map.org/abcatlas",
      "title": "Allen Brain Cell (ABC) Atlas (aka Adult whole brain cell atlas in human and NHP)",
      "description": "The Allen Brain Cell (ABC) Atlas provides a platform for visualizing multimodal single cell data across the mammalian brain and aims to empower researchers to explore and analyze multiple whole-brain datasets simultaneously.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Mental Health (NIMH)",
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          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
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            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Imaging",
        "Neuroscience"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://alleninstitute.github.io/abc_atlas_access/intro.html"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://massive.ucsd.edu/ProteoSAFe/static/massive.jsp",
      "title": "Mass Spectrometry Interactive Virtual Environment (MassIVE)",
      "description": "MassIVE is a community resource for Computational Mass Spectrometry to promote the global, free exchange of mass spectrometry data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Library of Medicine (NLM)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
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            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Other"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://massive.ucsd.edu/ProteoSAFe/datasets.jsp#%7B%22query%22%3A%7B%7D%2C%22table_sort_history%22%3A%22createdMillis_dsc%22%7D"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://medicalcountermeasures.gov/barda/cbrn#portfolio",
      "title": "BARDA CBRN Medical Countermeasure Portfolio",
      "description": "BARDA Chemical, Biological, Radiological, and Nuclear medical countermeasure portfolio data. The public JSON feed currently contains 134 portfolio products. CBRN branches represented include Antimicrobials, Antivirals & Antitoxins, Burn & Blast, Chemical, Other, Rad/Nuc, Vaccines. Impact areas represented include Combination Product, Devices, Enabling Technologies, Other, Therapeutics, Vaccines.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "BDR Administrative Inbox",
          "hasEmail": "mailto:BDR_Admin_Inbox@hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Biomedical Advanced Research and Development Authority (BARDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Administration for Strategic Preparedness and Response (ASPR)",
            "subOrganizationOf": [
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-06-18",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health; Emergency Preparedness; Medical Countermeasures"
        }
      ],
      "keyword": [
        "361 Product (HCT/P)",
        "AMR Bacteria",
        "ASPR",
        "Anthrax",
        "Antimicrobials",
        "Antivirals & Antitoxins",
        "Approved",
        "BARDA",
        "Botulism",
        "Burn & Blast",
        "CBRN",
        "COVID-19",
        "Chemical",
        "Cleared",
        "Combination Product",
        "Devices",
        "Enabling Technologies",
        "Filoviruses",
        "Fungi",
        "Licensed",
        "MedicalCountermeasures.gov",
        "Nuclear Detonation",
        "Other",
        "Phase 1",
        "Phase 1/2",
        "Phase 2",
        "Phase 2/3",
        "Phase 3",
        "Pre-clinical",
        "Project BioShield",
        "Rad/Nuc",
        "Radiological",
        "Smallpox",
        "Therapeutic Platforms",
        "Therapeutics",
        "Vaccines",
        "biological threats",
        "chemical threats",
        "medical countermeasures",
        "nuclear threats",
        "portfolio",
        "public health emergencies",
        "radiological threats"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://medicalcountermeasures.gov/barda/cbrn#portfolio",
        "title": "BARDA CBRN Medical Countermeasure Portfolio"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "BARDA CBRN Medical Countermeasure Portfolio JSON Data",
          "description": "Public JSON data feed backing the MedicalCountermeasures.gov page.",
          "downloadURL": "https://medicalcountermeasures.gov/app/cbrn/getdata",
          "format": "JSON",
          "mediaType": "application/json",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://medicalcountermeasures.gov/barda/fdaapprovals",
      "title": "FDA Approvals, Licensures, & Clearances for BARDA Supported Products",
      "description": "BARDA-supported medical countermeasure products that have received FDA approval, licensure, or clearance. The public JSON feed currently contains 116 FDA approvals, licensures, or clearances for BARDA-supported products. FDA status values include Approved, Cleared, Licensed. Threat areas represented include AMR Bacteria, Anthrax, Botulism, COVID-19, Chemical, Filoviruses, Influenza, Nuclear Detonation.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "BDR Administrative Inbox",
          "hasEmail": "mailto:BDR_Admin_Inbox@hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Biomedical Advanced Research and Development Authority (BARDA)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Administration for Strategic Preparedness and Response (ASPR)",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-08-07",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health; Emergency Preparedness; Medical Countermeasures"
        }
      ],
      "keyword": [
        "AMR Bacteria",
        "ASPR",
        "Anthrax",
        "Antimicrobials",
        "Antivirals & Antitoxins",
        "Approved",
        "BARDA",
        "Botulism",
        "Burn & Blast",
        "CBRN",
        "COVID-19",
        "Chemical",
        "Cleared",
        "Combination Product",
        "DDDI",
        "DRIVE",
        "Default",
        "Devices",
        "Devices and Infrastructure",
        "Diagnostics",
        "FDA approvals",
        "FDA clearances",
        "FDA licensures",
        "Filoviruses",
        "IEIDD",
        "Influenza",
        "Licensed",
        "MedicalCountermeasures.gov",
        "Molecular",
        "Nuclear Detonation",
        "Other",
        "Protein and Cell-based Diagnostics",
        "Rad/Nuc",
        "Radiological",
        "Sepsis",
        "Smallpox",
        "Therapeutics",
        "Vaccines",
        "Zika",
        "medical countermeasures",
        "public health emergencies",
        "regulated products"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://medicalcountermeasures.gov/barda/fdaapprovals",
        "title": "FDA Approvals, Licensures, & Clearances for BARDA Supported Products"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FDA Approvals, Licensures, & Clearances for BARDA Supported Products JSON Data",
          "description": "Public JSON data feed backing the MedicalCountermeasures.gov page.",
          "downloadURL": "https://medicalcountermeasures.gov/app/fdaapproval/getdata",
          "format": "JSON",
          "mediaType": "application/json",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://meps.ahrq.gov/mepsweb/survey_comp/Insurance.jsp",
      "title": "Medical Expenditure Panel Survey-Insurance Component (MEPS-IC)",
      "description": "The Medical Expenditure Panel Survey Insurance Component (MEPS-IC) collects data from a sample of private and public-sector employers on the health insurance plans offered, benefits, annual premiums, annual contributions by employers and employees, eligibility, and employer characteristics.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Anita Soni",
          "hasEmail": "mailto:Anita.Soni@ahrq.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Financing, Access, and Cost Trends (CFACT)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Agency for Healthcare Research and Quality (AHRQ)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "1996-01-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Employer sponsored insurance"
        }
      ],
      "keyword": [
        "Health Insurance - Employer sponsored",
        "premiums",
        "deductibles"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://meps.ahrq.gov/mepsweb/index.jsp",
        "title": "The Medical Expenditure Panel Survey"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Agency for Healthcare Research and Quality"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "U.S. Census Bureau"
        }
      ],
      "rights": [
        "This request is consistent with the general information collection guidelines of 5 CFR\n1320.5(d)(2). No special circumstances apply."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Census Bureau in collaboration with AHRQ."
      },
      "isReferencedBy": [
        "https://meps.ahrq.gov/mepsweb/"
      ],
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "IAA-26-205F-96",
          "type": "purchased data asset ID"
        }
      ],
      "status": "active",
      "accrualPeriodicity": "annually",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://meps.ahrq.gov/mepsweb/data_stats/summ_tables/meps-ic-table-series.shtml",
        "title": "Medical Expenditure Panel Survey-Insurance Component (MEPS-IC)"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Medical Expenditure Panel Survey-Insurance Component (MEPS-IC)",
          "description": "Employer sponsored estimates in PDF and spreadsheet formats",
          "accessURL": "https://meps.ahrq.gov/mepsweb/survey_comp/Insurance.jsp",
          "downloadURL": "https://meps.ahrq.gov/mepsweb/data_stats/summ_tables/meps-ic-table-series.shtml",
          "format": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://www.ahrq.gov/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-07-24",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://meps.ahrq.gov/mepsweb/data_stats/summ_tables/meps-ic-table-series.shtml",
            "title": "Medical Expenditure Panel Survey-Insurance Component (MEPS-IC)"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted",
              "restrictionNote": "Aggregate summary statistics are publicly available."
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "@id": "https://meps.ahrq.gov/mepsweb/data_stats/summ_tables/meps-ic-table-series.shtml",
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          "description": "The Medical Panel Expenditure Survey (MEPS-IC) collects data from a sample of private and public-sector employers on the health insurance plans offered, benefits, annual premiums, annual contributions by employers and employees, eligibility, and employer characteristics."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://meps.ahrq.gov/mepsweb/survey_comp/household.jsp",
      "title": "Medical Expenditure Panel Survey-Household Component (MEPS-HC)",
      "description": "The Medical Expenditure Panel Survey Household Component (MEPS-HC) collects healthcare use and expenditure data from a sample of families and individuals in selected communities across the United States",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Anita Soni",
          "hasEmail": "mailto:Anita.Soni@ahrq.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Financing, Access, and Cost Trends (CFACT)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Agency for Healthcare Research and Quality (AHRQ)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "1996-01-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Healthcare Expenditures"
        }
      ],
      "keyword": [
        "Healthcare expenses",
        "Out of pocket expenditures",
        "Chronic Conditions",
        "Insurance",
        "income",
        "Access to care",
        "prescription Drugs."
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://meps.ahrq.gov/mepsweb/index.jsp",
        "title": "The Medical Expenditure Panel Survey"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Agency for Healthcare Research and Quality"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "U.S. Population"
        }
      ],
      "rights": [
        "MEPS is protected under the Privacy Act. Data will be kept private to the extent allowed by law. Individuals and organizations will be assured of the confidentiality of their replies under Section 944(c) of the Public Health Service Act."
      ],
      "creator": {
        "@type": "Agent",
        "name": "AHRQ in collaboration with Westat; INC."
      },
      "isReferencedBy": [
        "https://meps.ahrq.gov/mepsweb/"
      ],
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "CONTRACT-75Q80124D00001",
          "type": "purchased data asset ID"
        }
      ],
      "status": "active",
      "accrualPeriodicity": "annually",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://meps.ahrq.gov/mepsweb/data_stats/download_data_files.jsp",
        "title": "Medical Expenditure Panel Survey-Household Component (MEPS-HC)"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Medical Expenditure Panel Survey-Household Component (MEPS-HC)",
          "description": "Household expenditure data in various formats inlcuding Excel",
          "accessURL": "https://meps.ahrq.gov/mepsweb/survey_comp/household.jsp",
          "downloadURL": "https://meps.ahrq.gov/mepsweb/data_stats/download_data_files.jsp",
          "format": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://www.ahrq.gov/",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
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        "Most information on the HHS Office of Minority Health website is in the public domain. Unless otherwise stated, documents and files on HHS web servers may be freely downloaded and reproduced. Some third-party or jointly sponsored material may require permission. See https://minorityhealth.hhs.gov/access-and-disclaimer-statement."
      ],
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      "description": "Grant award recipient records published by the HHS Office of Minority Health for the National Lupus Outreach and Clinical Trial Education Initiative. The public listing provides award recipients, city, state, and amount.",
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      ],
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      "@type": "Dataset",
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        "title": "Minority Health Index"
      },
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        "Most information on the HHS Office of Minority Health website is in the public domain. Unless otherwise stated, documents and files on HHS web servers may be freely downloaded and reproduced. Some third-party or jointly sponsored material may require permission. See https://minorityhealth.hhs.gov/access-and-disclaimer-statement."
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          "@type": "Distribution",
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        },
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          "description": "Public query access to the county-oriented geospatial representation of the Minority Health Index dataset.",
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          "format": "ArcGIS Feature Service",
          "mediaType": "application/json",
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            {
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        {
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      "title": "HHS Office of Minority Health Knowledge Center Online Catalog",
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        "socioeconomic indicators",
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      ],
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      },
      "rights": [
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      "distribution": [
        {
          "@type": "Distribution",
          "title": "OMH DRIVE JSON API Access",
          "description": "Public JSON access used by the DRIVE dashboard for filter metadata, section data, and comparisons.",
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          "accessService": [
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              ],
              "endpointDescription": [
                "https://minorityhealth.hhs.gov/omh-drive/user-guide"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "Office of Minority Health Resource Center",
                  "hasEmail": "mailto:minorityhealthinfo@hhs.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Office of Minority Health (OMH)"
              }
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "OMH DRIVE Interactive Dashboard",
          "description": "Interactive dashboard for filtering and comparing OMH DRIVE metrics across years, geographies, and population groups.",
          "accessURL": "https://minorityhealth.hhs.gov/omh-drive",
          "format": "HTML",
          "mediaType": "text/html",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://minorityhealth.hhs.gov/population-profiles",
      "title": "HHS Office of Minority Health Population Profiles",
      "description": "Structured health and demographic comparison tables compiled by the HHS Office of Minority Health from federal statistical sources. The collection contains 5 population profiles covering American Indian and Alaska Native Health, Asian American Health, Black/African American Health, Hispanic/Latino Health, and Native Hawaiian/Pacific Islander Health and 23 health-condition topics. Published tables compare population-specific values with total-population values and commonly include ratios, units, age or sex groups, reporting years, and source citations.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "HHS Office of Minority Health Resource Center",
          "hasEmail": "mailto:minorityhealthinfo@hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Minority Health (OMH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Office of Assistant Secretary for Health (OASH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health; Minority Health; Health Statistics; Demographics"
        }
      ],
      "keyword": [
        "Population Profiles",
        "minority health",
        "racial and ethnic minority populations",
        "American Indian and Alaska Native health",
        "Asian American health",
        "Black and African American health",
        "Hispanic and Latino health",
        "Native Hawaiian and Pacific Islander health",
        "chronic disease",
        "health outcomes",
        "non-medical drivers of health"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States and U.S. territories"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://minorityhealth.hhs.gov/population-profiles",
        "title": "HHS OMH Population Profiles"
      },
      "rights": [
        "Most information on the HHS Office of Minority Health website is in the public domain. Unless otherwise stated, documents and files on HHS web servers may be freely downloaded and reproduced. Some third-party or jointly sponsored material may require permission. See https://minorityhealth.hhs.gov/access-and-disclaimer-statement."
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://minorityhealth.hhs.gov/data-sources",
        "title": "HHS OMH Population Profiles Data Sources"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "HHS OMH Population Profiles HTML Collection",
          "description": "Public access point for population overview pages and health-condition comparison tables covering five racial and ethnic population groups.",
          "accessURL": "https://minorityhealth.hhs.gov/population-profiles",
          "format": "HTML",
          "mediaType": "text/html",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://moleculartargets.ccdi.cancer.gov/",
      "title": "CCDI Molecular Targets Platform (MTP)",
      "description": "The CCDI MTP allows researchers to browse and identify associations between molecular targets, diseases, and drugs specific for childhood cancers.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Cancer Institute (NCI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
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              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Clinical research",
        "Computational biology",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://moleculartargets.ccdi.cancer.gov"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://monarchinitiative.org/",
      "title": "Monarch Initiative",
      "description": "The Monarch Initiative is an integrative data and analytic platform connecting phenotypes to genotypes across species, bridging basic and applied research with semantics-based analysis. The correlation of phenotypic outcomes and disease with genetic variation and environmental factors is a core pursuit in biology and biomedicine. We have created or currently contribute to many essential bio-ontologies that together enable sophisticated and semantically integrated computational analysis across gene, genotype, variant, disease, and phenotype data. We have developed algorithms and tools that are in use by multiple communities for tasks including the identification of animal models of human disease through phenotypic similarity, phenotype-driven computational support for differential diagnostics, and translational research.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Research Infrastructure Programs (ORIP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Clinical research",
        "Imaging",
        "Neuroscience",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://monarchinitiative.org/kg/downloads"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://msk.hugeamp.org/",
      "title": "Musculoskeletal Knowledge Portal",
      "description": "The Musculoskeletal Knowledge Portal enables browsing, searching, and analysis of human genetic and genomic information linked to musculoskeletal traits and diseases, while protecting the integrity and confidentiality of the underlying data",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Clinical research",
        "Computational biology",
        "Sequence biology",
        "Real-World Data"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://msk.hugeamp.org/downloads.html"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://nakb.org/",
      "title": "Nucleic Acid Knowledge Base (NAKB)",
      "description": "The Nucleic Acid Knowledge Base (NAKB), modern successor to the Nucleic Acid Database (NDB) Project, archives and distributes structural information about nucleic acids.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of General Medical Sciences (NIGMS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Sequence biology",
        "Other"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://nakb.org/nakblist=all"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://nemar.org/",
      "title": "Neuroelectromagnetic Data Archive and Tools Resource (NEMAR)",
      "description": "NEMAR, the NeuroElectroMagnetic data Archive and tools Resource, is an NIMH BRAIN Initiative funded data, tools, and compute resource for (EEG, MEG, and iEEG) data shared publicly through the (all modalities) OpenNeuro archive of human neuroimaging data",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Mental Health (NIMH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Neuroscience",
        "Imaging"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://nemar.org/dataexplorer"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://nemoarchive.org/",
      "title": "Neuroscience Multi-omic Archive (NeMO)",
      "description": "The Neuroscience Multi-omic Archive (NeMO Archive) is a data repository specifically focused on the storage and dissemination of omic data generated from the BRAIN Initiative and related brain research projects.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Mental Health (NIMH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://nemoarchive.org/data/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://neurosynth.org/",
      "title": "NeuroVault and NeuroSynth",
      "description": "Neurosynth is a platform for large-scale, automated synthesis of functional magnetic resonance imaging (fMRI) data. NeuroVault is a public repository of unthresholded statistical maps, parcellations, and atlases of the brain.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Mental Health (NIMH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Neuroscience",
        "Imaging"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://neurosynth.org/studies/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://nindsgenetics.org/",
      "title": "NINDS Human Cell and Data Repository (NHCDR)",
      "description": "The NINDS Human Cell and Data Repository (NHCDR) provides access to fibroblast and/or induced pluripotent stem cell (iPSC) lines for a number neurological disorders within the NINDS mission as well as healthy controls.  NHCDR also supports access to unique iPSC collections from NeuroLINCS, PDBP, LEFFTDS and Target ALS with associated metadata.  A GMP-grade iPSC line and corresponding research grade iPSC line are also available through the NHCDR.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Neurological Disorders and Stroke (NINDS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Clinical research",
        "Neuroscience"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://undefined"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://np-mrd.org/",
      "title": "Natural Products Magnetic Resonance Database (NP-MRD)",
      "description": "The Natural Products Magnetic Resonance Database is a freely available cloud-based, user-friendly, FAIR electronic database. NP-MRD accepts NMR data and associated metadata from newly undertaken NP studies. The NP-MRD accepts raw (time domain data, processed spectra, assigned chemical shifts, J-couplings, RDCs, etc.), and meta-data (structures, sources, methods, taxonomy, geospatial data, etc) from natural products ranging from purified substances to crude extracts, in all major solvents. The NP-MRD includes NPs such as vitamins, minerals, and probiotics as well as small molecules derived from plants, fungi, bacteria, marine organisms, or animals.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Complementary and Integrative Health (NCCIH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Other"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://np-mrd.org/downloads"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://ntp.niehs.nih.gov/whatwestudy/niceatm/comptox/ct-ice/ice",
      "title": "Integrated Chemical Environment (ICE)",
      "description": "Successful computational toxicology projects depend on high-quality data that are freely available and formatted for use in computational workflows. The Integrated Chemical Environment (ICE) addresses the data needs frequently expressed by NICEATM stakeholders. Launched in March 2017, ICE provides curated data from NICEATM, its partners, and other resources, as well as tools to facilitate the safety assessment of chemicals.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Environmental Health Sciences (NIEHS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Other"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://ice.ntp.niehs.nih.gov/DATASETDESCRIPTION"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://nwd.acl.gov/person-centered-counseling.html#pcc-training",
      "title": "Person-Centered Counseling (PCC) Training Program Materials",
      "description": "Training course materials for the Person-Centered Counseling (PCC) Training Program, covering the No Wrong Door System vision, person-centered thinking and planning, the populations NWD serves, access to long-term services and supports, and Protection and Advocacy.",
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        {
          "@type": "Kind",
          "fn": "No Wrong Door (NWD) System",
          "hasEmail": "mailto:NoWrongDoor@acl.hhs.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "No Wrong Door",
        "Person-Centered Counseling",
        "Training"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Long-Term Services and Supports"
        },
        {
          "@type": "Concept",
          "prefLabel": "Aging"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Veterans"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Person-Centered Counseling",
        "accessURL": "https://nwd.acl.gov/person-centered-counseling.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Person-Centered Counseling Infographic",
          "downloadURL": "https://nwd.acl.gov/pdf/PersonCenteredCounselingInfographic.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Course 1: Introduction to No Wrong Door — Materials",
          "downloadURL": "https://nwd.acl.gov/pdf/Course%201%20-%20Materials.zip",
          "mediaType": "application/zip",
          "format": "ZIP"
        },
        {
          "@type": "Distribution",
          "title": "Course 2: Person-Centered Thinking and Practice — Materials",
          "downloadURL": "https://nwd.acl.gov/pdf/Course%202%20-%20Materials.zip",
          "mediaType": "application/zip",
          "format": "ZIP"
        },
        {
          "@type": "Distribution",
          "title": "Course 3: Person-Centered Planning and Implementation — Materials",
          "downloadURL": "https://nwd.acl.gov/pdf/Course%203%20-%20Materials.zip",
          "mediaType": "application/zip",
          "format": "ZIP"
        },
        {
          "@type": "Distribution",
          "title": "Course 4: Who We Serve — Materials",
          "downloadURL": "https://nwd.acl.gov/pdf/Course%204%20-%20Materials.zip",
          "mediaType": "application/zip",
          "format": "ZIP"
        },
        {
          "@type": "Distribution",
          "title": "Course 5: Person-Centered Access to Long Term Services and Supports — Materials",
          "downloadURL": "https://nwd.acl.gov/pdf/Course%205%20-%20Materials.zip",
          "mediaType": "application/zip",
          "format": "ZIP"
        },
        {
          "@type": "Distribution",
          "title": "Course 6: Protection and Advocacy — Materials",
          "downloadURL": "https://nwd.acl.gov/pdf/Course%206%20-%20Materials.zip",
          "mediaType": "application/zip",
          "format": "ZIP"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://nwd.acl.gov/resources.html#overview",
      "title": "No Wrong Door (NWD) Program Overview Resources",
      "description": "Overview documentation of the key elements of a No Wrong Door (NWD) System — a coordinated network helping people access long-term services and supports (LTSS) regardless of age, income, or disability.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "No Wrong Door (NWD) System",
          "hasEmail": "mailto:NoWrongDoor@acl.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "No Wrong Door",
        "LTSS",
        "NWD"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Long-Term Services and Supports"
        },
        {
          "@type": "Concept",
          "prefLabel": "Aging"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Veterans"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Resources",
        "accessURL": "https://nwd.acl.gov/resources.html"
      },
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://nwd.acl.gov/sustaining-a-nwd-system.html#medicaid-claiming-toolkit",
      "title": "NWD System Medicaid Administrative Claiming Toolkit",
      "description": "A workbook and companion toolkit — seven numbered tools plus supporting fact sheets and briefs — for states developing Medicaid Administrative Claiming (Federal Financial Participation) as a funding stream for their No Wrong Door (NWD) System.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "No Wrong Door (NWD) System",
          "hasEmail": "mailto:NoWrongDoor@acl.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "No Wrong Door",
        "Medicaid",
        "LTSS",
        "Administrative Claiming"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Aging"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Long-Term Services and Supports"
        },
        {
          "@type": "Concept",
          "prefLabel": "Medicaid"
        },
        {
          "@type": "Concept",
          "prefLabel": "Veterans"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Sustaining a NWD System",
        "accessURL": "https://nwd.acl.gov/sustaining-a-nwd-system.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "State Examples of NWD System Funding",
          "downloadURL": "https://nwd.acl.gov/pdf/State_Examples_of_NWD_System_Funding_4.26.21.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "State Medicaid Agency Collaboration in NWD System Checklist",
          "downloadURL": "https://nwd.acl.gov/pdf/State_Medicaid_Agency_Collaboration_in_NWD_System_Checklist.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Strategies to Sustain a NWD System",
          "downloadURL": "https://nwd.acl.gov/pdf/Strategies_to_Sustain_a_NWD_System.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "NWD System Medicaid Administrative Claiming Workbook",
          "downloadURL": "https://nwd.acl.gov/pdf/NWD%20Medicaid%20Claiming%20Workbook%20FINAL%20July%202021.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Tool One: Project Work Plan",
          "downloadURL": "https://nwd.acl.gov/pdf/NWD%20Medicaid%20Claiming%20Workbook%20Tool%201%20-%20Project%20Work%20Plan%20FINAL%20July%202021.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Tool Two: Presentation for State Level Partner Agencies",
          "downloadURL": "https://nwd.acl.gov/pdf/Tool%20Two_Medicaid%20Administrative%20Claiming%20%28MAC%29%20for%20NWD_State%20Level%20%20Partners_508.pptx",
          "mediaType": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
          "format": "PPTX"
        },
        {
          "@type": "Distribution",
          "title": "Tool Three: Presentation for Stakeholders",
          "downloadURL": "https://nwd.acl.gov/pdf/Tool%20Three_Medicaid%20Administrative%20Claiming%20%28MAC%29%20for%20%20%20NWD_Stakeholders_508_11.30.21.ppt",
          "mediaType": "application/vnd.ms-powerpoint",
          "format": "PPT"
        },
        {
          "@type": "Distribution",
          "title": "Tool Four: Cost Simulator",
          "downloadURL": "https://nwd.acl.gov/pdf/Workbook%20Tool%20Four_Medicaid%20Administrative%20Claiming%20Cost%20%20Simulator%20%20FINAL%20July%202021.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX"
        },
        {
          "@type": "Distribution",
          "title": "Tool Five: Code Development Guidance",
          "downloadURL": "https://nwd.acl.gov/pdf/NWD%20Medicaid%20Claiming%20Workbook%20Tool%20Five%20-%20Code%20Development%20%20Guidance%20FINAL%20July%202021.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Tool Six: Cost Pool Guidance",
          "downloadURL": "https://nwd.acl.gov/pdf/Workbook%20Tool%20Six%20-%20Cost%20Pool%20Guidance%203-15-22%20FINAL.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Tool Six(a): Cost Pool Spreadsheet Template",
          "downloadURL": "https://nwd.acl.gov/pdf/Workbook%20Tool%206a%20-%20Cost%20Pool%20Spreadsheet%20Template%207-3-17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX"
        },
        {
          "@type": "Distribution",
          "title": "Tool Seven: Sample MOU Language",
          "downloadURL": "https://nwd.acl.gov/pdf/Workbook%20Tool%20Seven%20-%20Sample%20MOU%207-21-17.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "format": "DOCX"
        },
        {
          "@type": "Distribution",
          "title": "NWD IT and PASRR Medicaid Claiming Brief Paper",
          "downloadURL": "https://nwd.acl.gov/pdf/NWD%20IT%20and%20PASRR%20Medicaid%20Claiming%20Brief%20%20Paper_formattedcnb_508.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://nwd.acl.gov/vdc.html#vdc-covid",
      "title": "VDC COVID-19 Resources",
      "description": "COVID-19-era listening session materials, FAQs, and guidance for Veteran Directed Care (VDC) providers, published during the COVID-19 pandemic.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "No Wrong Door (NWD) System",
          "hasEmail": "mailto:NoWrongDoor@acl.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "No Wrong Door",
        "Veteran Directed Care",
        "VDC",
        "VDC COVID-19"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Long-Term Services and Supports"
        },
        {
          "@type": "Concept",
          "prefLabel": "Aging"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Veterans"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Veteran Directed Care",
        "accessURL": "https://nwd.acl.gov/vdc.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "VDC Provider COVID-19 Listening Session",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC%20Provider%20COVID-19%20Listening%20Session.pptx",
          "mediaType": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
          "format": "PPTX"
        },
        {
          "@type": "Distribution",
          "title": "VDC COVID-19 FAQ",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC%20COVID_19%20FAQ_3.31.2020.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Provider COVID-19 Listening Session",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC%20Provider%20COVID_19%20Listening%20Session%20Two_FINAL.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Provider COVID-19 Listening Session FAQ",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_COVID-19_Listening_Session_Two_FAQ_508.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Provider COVID-19 Listening Session",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC%20Provider%20COVID_19%20Listening%20Session%20Three_FINALv2.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Provider COVID-19 Listening Session FAQ",
          "downloadURL": "https://nwd.acl.gov/pdf/COVID/VDC_COVID-19_Listening_Session_Three_FAQ_FINAL.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Tips for a Successful Remote Visit for Providers",
          "downloadURL": "https://nwd.acl.gov/pdf/Tips%20for%20a%20Successful%20Remote%20Visit%20Provider%20Version_FINAL.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Tips for a Successful Remote Visit for Veterans",
          "downloadURL": "https://nwd.acl.gov/pdf/Tips%20for%20a%20Successful%20Remote%20Visit%20Veteran%20Version_FINAL.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Assistive Technology Services Flow",
          "downloadURL": "https://nwd.acl.gov/pdf/COVID/AT%20Flow%20Chart%20accessible.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Provider COVID-19 Listening Session",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC%20Provider%20COVID_19%20Listening%20Session%20Four_Final.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VA Care Resource Guide",
          "downloadURL": "https://nwd.acl.gov/pdf/CARE%20RESOURCE%20GUIDE%20FOR%20THE%20VETERANS%20FAMILIES%2C%20CAREGIVERS%20AND%20SURVIVORS%20FEDERAL%20ADVISORY%20COMMITTEE.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "format": "DOCX"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://nwd.acl.gov/vdc.html#vdc-local-eval",
      "title": "VDC Local Program Evaluations",
      "description": "Site-specific program evaluation materials for local Veteran Directed Care (VDC) programs at individual VA Medical Centers.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "No Wrong Door (NWD) System",
          "hasEmail": "mailto:NoWrongDoor@acl.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "No Wrong Door",
        "Veteran Directed Care",
        "VDC",
        "VDC Program Evaluation"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Long-Term Services and Supports"
        },
        {
          "@type": "Concept",
          "prefLabel": "Aging"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Veterans"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Veteran Directed Care",
        "accessURL": "https://nwd.acl.gov/vdc.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "SD-VISA Fact Sheet (PDF, 2.14MB)",
          "downloadURL": "https://nwd.acl.gov/pdf/SD%20Visa%20Flyer_100215_508.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "San Diego VISA Video Transcript (PDF, 67KB)",
          "downloadURL": "https://nwd.acl.gov/pdf/SD_VISA_Transcript2020.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Boston VDC Executive Summary(PDF, 356KB)",
          "downloadURL": "https://nwd.acl.gov/pdf/Boston_VDHCBS_Executive_Summary.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Boston VDC Cost Benefit Analysis (PDF,722KB)",
          "downloadURL": "https://nwd.acl.gov/pdf/VDHCBS_Boston.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://nwd.acl.gov/vdc.html#vdc-newsletters",
      "title": "VDC Newsletters",
      "description": "Monthly newsletters for Veteran Directed Care (VDC) program providers, covering program updates, policy changes, and operational guidance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "No Wrong Door (NWD) System",
          "hasEmail": "mailto:NoWrongDoor@acl.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "No Wrong Door",
        "Veteran Directed Care",
        "VDC",
        "VDC Newsletter"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Long-Term Services and Supports"
        },
        {
          "@type": "Concept",
          "prefLabel": "Aging"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Veterans"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Veteran Directed Care",
        "accessURL": "https://nwd.acl.gov/vdc.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "VDC Newsletter July 2024",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/2024/VDC_Newsletter_July%202024.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter June 2024",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/2024/VDC_Newsletter_June%202024.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter May 2024 updated",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/2024/VDC_Newsletter_May%202024_updated.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter April 2024",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/2024/VDC_Newsletter_April%202024.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter March 2024",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/2024/VDC_Newsletter_March%202024.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter February 2024",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/2024/VDC_Newsletter_February%202024.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter January 2024",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/2024/VDC_Newsletter_January%202024.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter December 2023",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/VDC_Newsletter_December%202023.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter November 2023",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/VDC_Newsletter_November%202023.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter October 2023",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/VDC_Newsletter_October%202023.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter September 2023",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/VDC_Newsletter_September%202023.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter August 2023",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/VDC_Newsletter_August%202023.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter June 2023",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/VDC_Newsletter_June%202023.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter May 2023",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/VDC_Newsletter_May%202023.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter April 2023",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/VDC_Newsletter_April%202023.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter March 2023",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/VDC_Newsletter_March%202023.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter February 2023",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/VDC_Newsletter_February%202023.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter January 2023",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/VDC_Newsletter_January%202023.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter December 2022",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/VDC_Newsletter_December%202022.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter November 2022",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/VDC_Newsletter_November%202022.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter October 2022",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/VDC_Newsletter_October%202022.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter September 2022",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/VDC_Newsletter_September%202022.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Newsletter August 2022",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Newsletters/VDC_Newsletter_August%202022.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://nwd.acl.gov/vdc.html#vdc-office-hours",
      "title": "VDC Office Hours",
      "description": "Recurring 'office hour' session materials and FAQs for Veteran Directed Care (VDC) providers, covering ongoing monitoring, billing and invoicing, spending plan development, and program best practices.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "No Wrong Door (NWD) System",
          "hasEmail": "mailto:NoWrongDoor@acl.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "No Wrong Door",
        "Veteran Directed Care",
        "VDC",
        "VDC Office Hours"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Long-Term Services and Supports"
        },
        {
          "@type": "Concept",
          "prefLabel": "Aging"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Veterans"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Veteran Directed Care",
        "accessURL": "https://nwd.acl.gov/vdc.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "VDC Office Hour April 2024",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC%20Office%20Hour_April_2024.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Office Hour April 2024 FAQ",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC%20Office%20Hour_April%202024_FAQ.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Operations Office Hour Four: Ongoing Monitoring, Quality, and VDC Program Best Practice",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Office_Hour_Series_June_2023_Final.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "FAQ June VDC Operations Office Hour 4",
          "downloadURL": "https://nwd.acl.gov/pdf/FAQ_June%20VDC%20Operations%20Office%20Hour%204.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Operations Office Hour Three: Billing and Invoicing",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Office_Hour_Series_May_2023.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "FAQ May VDC Operations Office Hour 3",
          "downloadURL": "https://nwd.acl.gov/pdf/FAQ_May%20VDC%20Operations%20Office%20Hour%203.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Operations Office Hour Two: Spending Plan Development, Initiating Services, and Hiring Workers",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Office_Hour_Series_April_2023_Final.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "FAQ April VDC Operations Office Hour 2",
          "downloadURL": "https://nwd.acl.gov/pdf/FAQ_April%20VDC%20Operations%20Office%20Hour%202.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Office Hour Session Three: Managing VDC Invoices and Supporting Timely Billing",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Office_Hour_Session_Three_FINAL_v2.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Office Hour Session Three Key Takeaways",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Office_Hour_Session_Three_Key_Takeaways_Final.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Office Hour Session Two: Tips and Tools to Monitor Monthly Veteran Spending – Monthly Service Reports",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Office_Hour_Session_Two_FINAL.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Office Hour Session Two Key Takeaways",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Office_Hour_Session_Two_Key_Takeaways_081821.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Office Hour Session One: Understanding VDC Veteran Authorizations and Developing Person-Centered Veteran Spending Plans",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Office_Hour_Session_One_FINAL.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Office Hour Session One Key Takeaways",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Office_Hour_Session_One_Key_Takeaways_Final.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://nwd.acl.gov/vdc.html#vdc-resources",
      "title": "VDC Program Resources",
      "description": "Fact sheets, guidebooks, templates, and the Veteran Handbook describing the Veteran Directed Care (VDC) program, which offers Veterans and their caregivers greater choice and control over the long-term services and supports that help Veterans live at home. Developed jointly by the Veterans Health Administration (VHA) and ACL. Newsletters, webinars, office hours, COVID-19 materials, and local program evaluations are cataloged as separate related datasets.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "No Wrong Door (NWD) System",
          "hasEmail": "mailto:NoWrongDoor@acl.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "No Wrong Door",
        "Veteran Directed Care",
        "VDC",
        "Veterans",
        "LTSS"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Long-Term Services and Supports"
        },
        {
          "@type": "Concept",
          "prefLabel": "Aging"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Veterans"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Veteran Directed Care",
        "accessURL": "https://nwd.acl.gov/vdc.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Veteran Directed Care (VDC) Overview",
          "downloadURL": "https://nwd.acl.gov/pdf/Veteran%20Directed%20Care.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Welcome Fact Sheet",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Welcome%20Fact%20Sheet_Final.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Becoming a VDC Provider",
          "downloadURL": "https://nwd.acl.gov/pdf/Becoming%20a%20VDC%20Provider_Final_508.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Readiness Review Overview",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC%20Readiness%20Review%20Overview_508.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Process Flow",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Work_Flow_Chart_FINAL_508.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Instructions for Obtaining a National Provider Identifier (NPI)",
          "downloadURL": "https://nwd.acl.gov/pdf/Instructions_for_Obtaining_a_National_Provider_Identifier_508.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Super Hub Fact Sheet",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Super%20Hub_Fact%20Sheet_508.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Hub and Spoke Responsibilities Fact Sheet",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Hub%20vs%20Spoke%20Fact%20Sheet_508.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Veteran Directed Care Field Guidebook",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Field_Guide_Book%20%28Mar%202025%29.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Operations Manual Template",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Operations_Manual_Template_3_2024_updated.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Billing and Invoicing Guide",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Billing_Guide_2023.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Monthly Services Report Template",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Monthly_Services_Report_2023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX"
        },
        {
          "@type": "Distribution",
          "title": "VDC Spending Plan Template",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Spending_Plan_2023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX"
        },
        {
          "@type": "Distribution",
          "title": "VDC Fiscal Year 2024 Case Mix Rate Calculator",
          "downloadURL": "https://nwd.acl.gov/pdf/2024%20VDC%20Budget%20Calculator.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "format": "XLSX"
        },
        {
          "@type": "Distribution",
          "title": "VDC Veteran Experience Analysis and Recommended Satisfaction Survey Tool",
          "downloadURL": "https://nwd.acl.gov/pdf/VD-HCBS_Veteran_Experience_Analysis_and_Recommended_Satisfaction_Survey_Tool.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Veteran Handbook: What is Veteran Directed Care?",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Veteran_Handbook_What%20is%20Veteran%20Directed.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Veteran Handbook: Making it Happen",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Veteran_Handbook_Making%20it%20Happen.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Veteran Handbook: Developing My Spending Plan",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Veteran_Handbook_Developing%20My%20Spending%20Plan.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Veteran Handbook: Becoming an Employer",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Veteran_Handbook_Becoming_An_Employer.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Veteran Handbook: Being an Employer",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Veteran_Handbook_Being_An_Employer.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Policy Guidance: Authorized Representative Background Check",
          "downloadURL": "https://nwd.acl.gov/pdf/Policy%20Guidance/Background%20Check%20Guidance_2.1.2024.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Policy Guidance: Temporarily Traveling Veteran's Policy",
          "downloadURL": "https://nwd.acl.gov/pdf/Policy%20Guidance/Temporary%20Travel%20Guidance_2024_FINAL.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Policy Guidance: Paid Leave Guidance",
          "downloadURL": "https://nwd.acl.gov/pdf/Policy%20Guidance/Paid%20Leave%20Guidance%20for%20ADNAs%20and%20VAMCs%20508.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "The Power of Veteran Directed Care for VA Medical Centers",
          "downloadURL": "https://nwd.acl.gov/pdf/The%20Power%20of%20Veteran%20Directed%20Care%20for%20Veterans%20Affairs%20Medical%20Centers.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "The Role of Aging and Disability Network Agencies in VDC",
          "downloadURL": "https://nwd.acl.gov/pdf/OY1_Lewin_VDC_ADNAs_9.2024.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://nwd.acl.gov/vdc.html#vdc-webinars",
      "title": "VDC Webinars",
      "description": "Educational webinar materials and FAQs for the Veteran Directed Care (VDC) program, covering topics such as billing, invoicing, spending plans, worker hiring, and program policy updates.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "No Wrong Door (NWD) System",
          "hasEmail": "mailto:NoWrongDoor@acl.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "No Wrong Door",
        "Veteran Directed Care",
        "VDC",
        "VDC Webinar"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Long-Term Services and Supports"
        },
        {
          "@type": "Concept",
          "prefLabel": "Aging"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Veterans"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Veteran Directed Care",
        "accessURL": "https://nwd.acl.gov/vdc.html"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Educational Webinar: VDC Expansion Best Practices",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Educational_Webinar_July_2024_508.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Educational Webinar: Policy and Resource Updates",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Educational_Webinar_February_2024.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Educational Webinar February 2024 FAQ",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Educational_Webinar_February_2024_FAQ.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Educational Webinar: VDC Operations Manual Template",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC_Educational_Webinar_February_2023_Final_PDF.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "February VDC Educational Webinar FAQ Final 508",
          "downloadURL": "https://nwd.acl.gov/pdf/February%20VDC%20Educational%20Webinar%20FAQ_Final_508.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Educational Webinar: VDC Workers",
          "downloadURL": "https://nwd.acl.gov/pdf/February_VDC_Educational_Webinar.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Educational Webinar, Overview of New Resources: Billing and Invoicing Guide, Monthly Spending Plan Template, and Monthly Services Report Template",
          "downloadURL": "https://nwd.acl.gov/pdf/June_%2721_VDC_Educational_Webinar_FINAL.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Educational Webinar, VDC Evaluation Part 3: Veterans and Caregivers’ Experiences Accessing the Services & Support of Veteran Directed Care",
          "downloadURL": "https://nwd.acl.gov/pdf/February%20%2721%20VDC%20Educational%20Webinar_FINAL.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Educational Webinar, VDC Evaluation Part 2: Impact of VDC on Veterans’ Health and Healthcare Utilization",
          "downloadURL": "https://nwd.acl.gov/pdf/September%20%2720%20VDC%20Educational%20Webinar_FINAL.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Educational Webinar, VDC Evaluation Part 1: Building Partnerships for Success",
          "downloadURL": "https://nwd.acl.gov/pdf/July%20%2720%20VDC%20Educational%20Webinar_508.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "AARP Battlefield Heroes Video, Discussion with a VDC Veteran Caregiver, and VDC Infographics",
          "downloadURL": "https://nwd.acl.gov/pdf/January%202020%20VDC%20Educational%20Webinar_508.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "FY2020 Case Mix Rates and Veteran Care Agreement Tools and Policies",
          "downloadURL": "https://nwd.acl.gov/pdf/December%20VCA%20Training_508.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Veteran Care Agreement Training Requirements",
          "downloadURL": "https://nwd.acl.gov/pdf/Veteran%20Care%20Agreement%20Training%20Requirements_FINAL.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Monthly Services Reports, FY2020 Case Mix Rates, and Veteran Care Agreement Updates",
          "downloadURL": "https://nwd.acl.gov/pdf/September%202019%20VDC%20Educational%20Webinar_FINAL%20%28002%29.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Veteran Care Agreement (VCA) Implementation",
          "downloadURL": "https://nwd.acl.gov/pdf/May%202019%20VDC%20Educational%20Webinar_FINAL.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Orientation to Veteran Care Agreements (VCAs)",
          "downloadURL": "https://nwd.acl.gov/pdf/VDC%20VCA%20Training_31May19.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Enhancing VDC Quality and Fidelity",
          "downloadURL": "https://nwd.acl.gov/pdf/January%202019%20VDC%20Educational%20Webinar.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Spending Plans",
          "downloadURL": "https://nwd.acl.gov/pdf/October%202018%20VDC%20Educational%20Webinar.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Program Outlook and Utilization",
          "downloadURL": "https://nwd.acl.gov/pdf/VDHCBS_Educational_Webinar%20-%20January%2018th%202018.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Person-Centered Practices",
          "downloadURL": "https://nwd.acl.gov/pdf/VDHCBS_Person_Centered_Practices_Quarterly_Webinar_October%202017.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Veteran Choice Program Webinar",
          "downloadURL": "https://nwd.acl.gov/pdf/VDHCBS-Quarterly-Educational-Webinar-July2017.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Invoicing and Payment Webinar",
          "downloadURL": "https://nwd.acl.gov/pdf/VD-HCBS_April19_Webinar_508_v2.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Frequently Asked Questions",
          "downloadURL": "https://nwd.acl.gov/pdf/VD-HCBS_April%2019%20Webinar%20FAQ_508_v2.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "VDC Evaluation and Successful Communication Strategies",
          "downloadURL": "https://nwd.acl.gov/pdf/VD-HCBS_Educational_Webinar-2017-01-25.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://opendata.ncats.nih.gov/home",
      "title": "NCATS OpenData Portal",
      "description": "The NCATS OpenData Portal (ODP) is a resource designed to rapidly and openly share NCATS data. The initial datasets shared via the ODP comprised screening data and assay information. NCATS scientists developed a number of SARS-CoV-2-related assays to measure over 10,000 compounds - including over 3,000 approved drugs - for their activity against the virus. These data include all positive and negative results from a diverse panel of repurposing screens, and can be viewed, searched and exported directly from the portal website.  The resource is flexible in accommodating various types and structures of data, and it has already expanded since its launch to host additional datasets for COVID-19, viruses of pandemic potential, and beyond. The ODP has been designed as a scalable platform for real-time data sharing across discovery campaigns, regardless of disease area, with the overarching goal of accelerating discovery at NCATS, the NIH, and the greater scientific community.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Advancing Translational Sciences (NCATS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Other"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://opendata.ncats.nih.gov/home"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://openneuro.org/",
      "title": "OpenNeuro",
      "description": "A free and open platform for validating and sharing BIDS-compliant MRI, PET, MEG, EEG, and iEEG data",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Mental Health (NIMH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
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            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Imaging"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://openneuro.org/search?query=%7B%22keywords%22:%5B%5D%7D"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://pave.niaid.nih.gov/",
      "title": "Papillomavirus Episteme (PaVE)",
      "description": "Papillomavirus Episteme (PaVE) is a curated data resource supporting sequence biology, computational biology.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Allergy and Infectious Diseases (NIAID)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
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              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Non-Human"
        }
      ],
      "keyword": [
        "Sequence biology",
        "Computational biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://pave.niaid.nih.gov/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://pdc.cancer.gov/pdc/",
      "title": "Proteomic Data Commons (PDC)",
      "description": "The Proteomic Data Commons hosts mass spectra and process data from cancer proteomic experiments.  Many datasets have corresponding genomic and/or imaging data available in other nodes of The National Cancer Institute (NCI) Cancer Research Data Commons (CRDC).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Cancer Institute (NCI)",
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            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
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            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://pdc.cancer.gov/pdc/submit-data"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://phenome.jax.org/",
      "title": "Mouse Phenome Database",
      "description": "The Mouse Phenome Database is a collaborative standardized collection of measured data on laboratory mouse strains. Its purpose is to characterize mouse strains in order to facilitate translational discoveries and to assist in selection of strains for experimental studies. The database includes baseline phenotype data sets as well as studies of drug, diet, disease and aging effect. Also includes protocols, projects and publications, and SNP, variation and gene expression studies. Data sets are voluntarily contributed by researchers from a variety of institutions and settings, or in some cases retrieved by The Jackson Laboratory from open public sources.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute on Drug Abuse (NIDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
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              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Behavioral and social sciences",
        "Computational biology",
        "Neuroscience",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://phenome.jax.org/downloads"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://portal.hubmapconsortium.org/",
      "title": "HuBMAP Data Portal",
      "description": "The focus of HuBMAP is understanding the intrinsic intra-, inter-, and extra- cellular biomolecular distribution in human tissue. HuBMAP will focus on fresh, fixed, or frozen healthy human tissue using in situ and dissociative techniques that have high-spatial resolution.The HuBMAP Data Portal aims to be an open map of the human body at the cellular level. These tools and maps are openly available, to accelerate understanding of the relationships between cell and tissue organization and function and human health.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Common Fund (CF)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Imaging",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://portal.hubmapconsortium.org/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://portal.imaging.datacommons.cancer.gov/",
      "title": "Imaging Data Commons (IDC)",
      "description": "The National Cancer Institute (NCI) Cancer Research Data Commons (CRDC) aims to establish a national cloud-based data science infrastructure. Imaging Data Commons (IDC) is a new data repository of CRDC supported by the Cancer Moonshot. The goal of IDC is to enable a broad spectrum of cancer researchers, with and without imaging expertise, to easily access and explore the value of de-identified imaging data and to support integrated analyses with non-imaging data utilizing CRDC Cloud Resources.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Cancer Institute (NCI)",
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            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
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              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Clinical research",
        "Computational biology",
        "Imaging"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://portal.imaging.datacommons.cancer.gov/about/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://pubchem.ncbi.nlm.nih.gov/",
      "title": "PubChem®",
      "description": "PubChem is the world’s largest collection of freely accessible information on chemical substances, including chemical names, biological activities, physical properties, safety and toxicity information, patents, and literature citations. Chemicals can be searched by name, molecular formula, structure, and other identifiers.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Library of Medicine (NLM)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
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                "name": "U.S. Department of Health and Human Services"
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          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology",
        "Computational biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://pubchem.ncbi.nlm.nih.gov/docs/downloads"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://reactome.org/",
      "title": "Reactome",
      "description": "REACTOME is an open-source, open access, manually curated and peer-reviewed pathway database. Our goal is to provide intuitive bioinformatics tools for the visualization, interpretation and analysis of pathway knowledge to support basic and clinical research, genome analysis, modeling, systems biology and education.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Other"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://reactome.org/content/schema/DatabaseObject"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://regulomedb.org/regulome-search/",
      "title": "RegulomeDB",
      "description": "RegulomeDB is a database that annotates SNPs with known and predicted regulatory elements in the intergenic regions of the H. sapiens genome. Known and predicted regulatory DNA elements include regions of DNAase hypersensitivity, binding sites of transcription factors, and promoter regions that have been biochemically characterized to regulation transcription.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
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            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
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              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://regulomedb.org/regulome-search"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://report.nih.gov",
      "title": "Research Portfolio Online Reporting Tools (RePORT)",
      "description": "Research Portfolio Online Reporting Tools provides access to reports, data, and analyses of NIH research activities, including information on NIH expenditures and the results of NIH supported research.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIH Research Portfolio Online Reporting Tools (RePORT) Support Team",
          "hasEmail": "mailto:report@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Extramural Research (OER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
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              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "NIH Research Search Engine"
        }
      ],
      "keyword": [
        "Reports of NIH research activities",
        "Data of NIH research activities",
        "Analyses of NIH research activities",
        "NIH expenditures",
        "Results of NIH supported research"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "International"
        }
      ],
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute of Health (NIH)"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://reporter.nih.gov",
      "title": "RePORT Expenditures and Results (RePORTER)",
      "description": "The RePORT Expenditures and Results (RePORTER) module allows users to search a repository of NIH-funded research projects and access publications and patents resulting from NIH funding. Enter just about anything in the RePORTER Quick Search box above (text, PI names, project numbers, fiscal year, agency) or launch the Advanced Search to precisely configure searches using separate search fields.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIH Research Portfolio Online Reporting Tools (RePORT) Support Team",
          "hasEmail": "mailto:report@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Extramural Research (OER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "NIH and Other Agencies Research Search Engine"
        }
      ],
      "keyword": [
        "Research Projects",
        "Publications",
        "Patents",
        "Expenditures",
        "Results"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "International"
        }
      ],
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute of Health (NIH)"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://reporter.nih.gov/exporter",
      "title": "RePORT Expenditures and Results (RePORTER) - ExPORTER",
      "description": "ExPORTER provides bulk administrative data found in RePORTER to the public for detailed analyses or to load into their own data systems.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NIH Research Portfolio Online Reporting Tools (RePORT) Support Team",
          "hasEmail": "mailto:report@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Extramural Research (OER)",
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              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "NIH and Other Agencies Research bulk administrative data"
        }
      ],
      "keyword": [
        "Research Projects",
        "Publications",
        "Patents",
        "Clinical Studies"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "International"
        }
      ],
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute of Health (NIH)"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://risp.umn.edu/products/infographics#infographics",
      "title": "RISP Infographics (FY2021)",
      "description": "Infographics describing aspects of long-term services and supports for people with intellectual and/or developmental disabilities in the United States, based on annual surveys of state IDD agencies.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Residential Information Systems Project (RISP)",
          "hasEmail": "mailto:RISP@umn.edu"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Residential Information Systems Project (RISP), Institute on Community Integration, University of Minnesota"
      },
      "accessRights": "public",
      "keyword": [
        "IDD",
        "Infographic",
        "RISP"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Intellectual and Developmental Disabilities"
        },
        {
          "@type": "Concept",
          "prefLabel": "Long-Term Services and Supports"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Infographics",
        "accessURL": "https://risp.umn.edu/products/infographics"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "People with IDD in the United States",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/people-with-idd-in-the-united-states-and-the-proportion-who-receive-services",
          "description": "RISP infographic describing an aspect of long-term services and supports for people with IDD, based on annual state IDD agency surveys."
        },
        {
          "@type": "Distribution",
          "title": "Age of People with IDD in the US",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/how-old-people-with-idd-in-the-united-states",
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        },
        {
          "@type": "Distribution",
          "title": "Growth in the number of support recipients with IDD",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/how-did-the-number-of-people-getting-ltss-change-between-1988-and-2018",
          "description": "RISP infographic describing an aspect of long-term services and supports for people with IDD, based on annual state IDD agency surveys."
        },
        {
          "@type": "Distribution",
          "title": "Public funding sources used by adults with IDD",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/how-many-adults-with-idd-got-ltss-through-state-idd-agencies",
          "description": "RISP infographic describing an aspect of long-term services and supports for people with IDD, based on annual state IDD agency surveys."
        },
        {
          "@type": "Distribution",
          "title": "Key policy milestones",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/what-are-key-policy-milestones-for-people-with-idd",
          "description": "RISP infographic describing an aspect of long-term services and supports for people with IDD, based on annual state IDD agency surveys."
        },
        {
          "@type": "Distribution",
          "title": "Living arrangements for people with IDD",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/where-do-people-with-intellectual-or-developmental-disabilities-live-when-they-dont-live-with-their-family",
          "description": "RISP infographic describing an aspect of long-term services and supports for people with IDD, based on annual state IDD agency surveys."
        },
        {
          "@type": "Distribution",
          "title": "People getting services but not living with a family member",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/how-did-the-number-of-people-getting-supports-in-settings-other-than-family-home-change",
          "description": "RISP infographic describing an aspect of long-term services and supports for people with IDD, based on annual state IDD agency surveys."
        },
        {
          "@type": "Distribution",
          "title": "How big are non-family settings in which people live?",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/what-is-the-average-number-of-people-with-intellectual-or-developmental-disabilities-living-in-non-family-settings",
          "description": "RISP infographic describing an aspect of long-term services and supports for people with IDD, based on annual state IDD agency surveys."
        },
        {
          "@type": "Distribution",
          "title": "Medicaid HCBS Spending in FY 2021",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/medicaid-waiver-recipients-and-expenditures",
          "description": "RISP infographic describing an aspect of long-term services and supports for people with IDD, based on annual state IDD agency surveys."
        },
        {
          "@type": "Distribution",
          "title": "Age of Medicaid HCBS recipients with IDD",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/what-percent-of-waiver-recipients-are-adults-or-children",
          "description": "RISP infographic describing an aspect of long-term services and supports for people with IDD, based on annual state IDD agency surveys."
        },
        {
          "@type": "Distribution",
          "title": "HCBS recipients per 100,000 by state",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/how-many-people-with-intellectual-or-developmental-disabilities-get-medicaid-waiver-supports",
          "description": "RISP infographic describing an aspect of long-term services and supports for people with IDD, based on annual state IDD agency surveys."
        },
        {
          "@type": "Distribution",
          "title": "Growth in the number of HCBS Waiver recipients",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/how-did-the-number-of-hcbs-waiver-recipients-change-between-1987-and-2018",
          "description": "RISP infographic describing an aspect of long-term services and supports for people with IDD, based on annual state IDD agency surveys."
        },
        {
          "@type": "Distribution",
          "title": "ICF/IID expenditures in FY 2021",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/medicaid-intermediate-care-facilities-for-individuals-with-intellectual-disabilities-icf-idd",
          "description": "RISP infographic describing an aspect of long-term services and supports for people with IDD, based on annual state IDD agency surveys."
        },
        {
          "@type": "Distribution",
          "title": "Age of People living in ICF/IID",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/what-percent-of-icf-iid-recipients-are-adults-or-children",
          "description": "RISP infographic describing an aspect of long-term services and supports for people with IDD, based on annual state IDD agency surveys."
        },
        {
          "@type": "Distribution",
          "title": "ICF/IID recipients per 100,000 by state",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/how-many-people-with-intellectual-or-developmental-disabilities-get-medicaid-icfiid-supports",
          "description": "RISP infographic describing an aspect of long-term services and supports for people with IDD, based on annual state IDD agency surveys."
        },
        {
          "@type": "Distribution",
          "title": "Change in Residence Size since 1977",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/change-in-number-of-people-in-non-family-idd-settings-and-proportion-in-settings-of-different-sizes",
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        },
        {
          "@type": "Distribution",
          "title": "Change in Medicaid HCBS Waiver and ICF/IID Recipients between 1988 and 2021",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/how-did-the-number-of-medicaid-hcbs-and-icf-iid-recipients-change-between-1998-and-2018",
          "description": "RISP infographic describing an aspect of long-term services and supports for people with IDD, based on annual state IDD agency surveys."
        },
        {
          "@type": "Distribution",
          "title": "Size of state-run IDD settings",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/state-operated-facilities-serving-people-with-intellectual-or-developmental-disabilities",
          "description": "RISP infographic describing an aspect of long-term services and supports for people with IDD, based on annual state IDD agency surveys."
        },
        {
          "@type": "Distribution",
          "title": "People in large state-operated facilities in FY 2021",
          "accessURL": "https://publications.ici.umn.edu/risp/infographics/how-many-people-with-intellectual-or-developmental-disabilities-live-in-large-public-residential-facilities",
          "description": "RISP infographic describing an aspect of long-term services and supports for people with IDD, based on annual state IDD agency surveys."
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2021-10-01",
          "endDate": "2021-06-30"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://risp.umn.edu/products/reports#technical-topical-reports",
      "title": "RISP Technical and Topical Reports",
      "description": "Technical and topical reports on in-home and residential long-term supports and services for people with intellectual or developmental disabilities, including the annual RISP survey report, the survey instrument itself, its user guide, and topical reports on community living trends and services in U.S. territories.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Residential Information Systems Project (RISP)",
          "hasEmail": "mailto:RISP@umn.edu"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Residential Information Systems Project (RISP), Institute on Community Integration, University of Minnesota"
      },
      "accessRights": "public",
      "keyword": [
        "IDD",
        "Technical Report",
        "RISP",
        "Long-Term Services and Supports"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Intellectual and Developmental Disabilities"
        },
        {
          "@type": "Concept",
          "prefLabel": "Long-Term Services and Supports"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Technical and Topical Reports",
        "accessURL": "https://risp.umn.edu/products/reports"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FY 2021 Report",
          "downloadURL": "https://ici-s.umn.edu/files/aaQxdJjAit/risp_2021_final_acc",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "FY 2021 Survey",
          "downloadURL": "https://ici-s.umn.edu/files/fEEEgTDtCT/risp-fy-2021-survey",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "FY2021 User Guide",
          "downloadURL": "https://ici-s.umn.edu/files/FNhPJGTjX7/risp-fy-2021-user-guide-acc",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "report",
          "downloadURL": "https://acl.gov/sites/default/files/Aging%20and%20Disability%20in%20America/30%20Years%207-13-21.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "Services for people with intellectual and/or developmental disabilities in the US territories. (2015)",
          "downloadURL": "https://ici-s.umn.edu/files/xitgnmqFM3/idd-services-combined-territories_2015-final",
          "mediaType": "application/pdf",
          "format": "PDF"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://risp.umn.edu/products/state-profiles#state-profiles",
      "title": "RISP State Profiles",
      "description": "Interactive state-by-state dashboards describing long-term supports and services for people with intellectual and developmental disabilities (IDD), covering all 50 states, the District of Columbia, and the United States as a whole.",
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        {
          "@type": "Kind",
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        }
      ],
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        "@type": "Organization",
        "name": "Residential Information Systems Project (RISP), Institute on Community Integration, University of Minnesota"
      },
      "accessRights": "public",
      "keyword": [
        "IDD",
        "Long-Term Services and Supports",
        "State Profiles",
        "RISP"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Intellectual and Developmental Disabilities"
        },
        {
          "@type": "Concept",
          "prefLabel": "Long-Term Services and Supports"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State Profiles",
        "accessURL": "https://risp.umn.edu/products/state-profiles"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Alabama RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/alabama",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Alabama, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Alaska RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/alaska",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Alaska, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Arizona RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/arizona",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Arizona, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Arkansas RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/arkansas",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Arkansas, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "California RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/california",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in California, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Colorado RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/colorado",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Colorado, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Connecticut RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/connecticut",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Connecticut, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Delaware RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/delaware",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Delaware, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "District of Columbia RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/district-of-columbia",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in District of Columbia, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Florida RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/florida",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Florida, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Georgia RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/georgia",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Georgia, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Hawaii RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/hawaii",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Hawaii, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Idaho RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/idaho",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Idaho, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Illinois RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/illinois",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Illinois, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Indiana RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/indiana",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Indiana, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Iowa RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/iowa",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Iowa, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Kansas RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/kansas",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Kansas, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Kentucky RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/kentucky",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Kentucky, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Louisiana RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/louisiana",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Louisiana, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Maine RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/maine",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Maine, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Maryland RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/maryland",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Maryland, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Massachusetts RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/massachusetts",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Massachusetts, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Michigan RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/michigan",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Michigan, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Minnesota RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/minnesota",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Minnesota, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Mississippi RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/mississippi",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Mississippi, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Missouri RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/missouri",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Missouri, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Montana RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/montana",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Montana, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Nebraska RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/nebraska",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Nebraska, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Nevada RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/nevada",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Nevada, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "New Hampshire RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/new-hampshire",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in New Hampshire, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "New Jersey RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/new-jersey",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in New Jersey, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "New Mexico RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/new-mexico",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in New Mexico, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "New York RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/new-york",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in New York, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "North Carolina RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/north-carolina",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in North Carolina, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "North Dakota RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/north-dakota",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in North Dakota, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Ohio RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/ohio",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Ohio, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Oklahoma RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/oklahoma",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Oklahoma, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Oregon RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/oregon",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Oregon, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Pennsylvania RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/pennsylvania",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Pennsylvania, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Rhode Island RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/rhode-island",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Rhode Island, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "South Carolina RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/south-carolina",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in South Carolina, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "South Dakota RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/south-dakota",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in South Dakota, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Tennessee RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/tennessee",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Tennessee, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Texas RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/texas",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Texas, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "United States RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/united-states",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in United States, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Utah RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/utah",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Utah, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Vermont RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/vermont",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Vermont, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Virginia RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/virginia",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Virginia, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Washington RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/washington",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Washington, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "West Virginia RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/west-virginia",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in West Virginia, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Wisconsin RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/wisconsin",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Wisconsin, current through the most recent RISP survey year."
        },
        {
          "@type": "Distribution",
          "title": "Wyoming RISP State Profile",
          "accessURL": "https://publications.ici.umn.edu/risp/state-profiles/wyoming",
          "description": "Interactive dashboard of long-term supports and services data for people with IDD in Wyoming, current through the most recent RISP survey year."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://robokop.renci.org/",
      "title": "Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways (ROBOKOP)",
      "description": "ROBOKOP is an open-source, modular, biomedical knowledge graph–based system that includes the ROBOKOP biomedical knowledge graph, a user interface, and a variety of supporting resources, including tools and services to support deep exploration of the ROBOKOP KG and each of its underlying primary knowledge sources.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Environmental Health Sciences (NIEHS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Other"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://robokop.renci.org/explore/graphs"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://rossa.uchc.edu/",
      "title": "Rodent Open Science Skeletal Archive",
      "description": "The Rodent Open Science Skeletal Archive (ROSSA) is a comprehensive resource designed to advance skeletal biology research through open data sharing, collaborative analysis, and global networking. ROSSA brings together three essential components that address the critical needs of the skeletal research community: data preservation, discovery tools, and research infrastructure connectivity.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology"
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      "title": "Accelerating Medicines Partnership in Type 2 Diabetes Knowledge Portal (AMP-T2D)",
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      "title": "Cancer Proteome Atlas",
      "description": "A comprehensive resource for accessing, visualizing, and analyzing functional proteomics of patient tumor samples.",
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    {
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      "title": "Biological General Repository for Interaction Datasets (BioGRID)",
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    {
      "@type": "Dataset",
      "identifier": "https://treatments.hhs.gov",
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        "influenza",
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          "name": "American Hospital Association (AHA)"
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      "title": "Physician and Physician Practice Research Database (3P-RD)",
      "description": "The Physician and Physician Practice Research Database (3P-RD) is an AHRQ database containing harmonized information on physicians and physician practices across 13 states for data year 2019–2020 to support health services research and analysis of physician supply at state and market levels.",
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          "@type": "Kind",
          "fn": "Zeynal Karaca",
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      "issued": "2023-01-01",
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          "modified": "2026-07-24",
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      "title": "Hospital Financial Measures Database (HFMD)",
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          "@type": "Kind",
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      "identifier": "https://www.ahrq.gov/data/innovations/syh-dr.html",
      "title": "Synthetic Healthcare Database for Research (SyH-DR)",
      "description": "The Synthetic Healthcare Database for Research (SyH-DR) is an all-payer, nationally representative synthetic claims database containing 2016 inpatient, outpatient, prescription drug, utilization, payment, and enrollment data for individuals insured by Medicare, Medicaid, or commercial health insurance.",
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        {
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      "issued": "2021-01-01",
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      "identifier": "https://www.ahrq.gov/ncepcr/communities/pbrn/registry/index.html",
      "title": "Practice-based Research Networks Registry",
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        "@type": "Organization",
        "name": "Center for Evidence and Practice Improvement (CEPI)",
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      "modified": "2026-07-06",
      "issued": "2024-08-01",
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      },
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      ],
      "rights": [
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        "accessURL": "https://www.ahrq.gov/ncepcr/communities/pbrn/registry/index.html",
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        }
      ],
      "inventoried": "2026-09-27"
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      "@type": "Dataset",
      "identifier": "https://www.ahrq.gov/npsd/data/dashboard/index.html",
      "title": "Network of Patient Safety Databases Dashboards",
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      },
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      "issued": "2019-06-19",
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      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.ahrq.gov/npsd/data/dashboard/index.html",
        "title": "NPSD Dashboards"
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        {
          "@type": "Agent",
          "name": "Source data from PSO submissions to the PSO Privacy Protection Center: https://www.psoppc.org/submit-data"
        }
      ],
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        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "isReferencedBy": [
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      "status": "active",
      "accrualPeriodicity": "annually",
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        "accessURL": "https://www.ahrq.gov/npsd/data/dashboard/info.html",
        "title": "NPSD Dashboard Information"
      },
      "distribution": [
        {
          "@type": "Distribution",
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          "description": "Data Submissions dashboard in XLSX format",
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          "downloadURL": "https://www.ahrq.gov/sites/default/files/wysiwyg/npsd/Data_Submission_Dashboard_Data_2025.xlsx",
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        {
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          "description": "Generic dashboard in XLSX format",
          "accessURL": "https://www.ahrq.gov/npsd/data/dashboard/generic.html",
          "downloadURL": "https://www.ahrq.gov/sites/default/files/wysiwyg/npsd/Generic_Dashboard_Data_2025.xlsx",
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          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-08",
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            "accessURL": "https://www.ahrq.gov/npsd/data/dashboard/index.html",
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              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "Blood and Blood Product Dashboard",
          "description": "Blood or blood product dashboard in XLSX format",
          "accessURL": "https://www.ahrq.gov/npsd/data/dashboard/blood.html",
          "downloadURL": "https://www.ahrq.gov/sites/default/files/wysiwyg/npsd/Blood_Dashboard_Data_2025.xlsx",
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          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.ahrq.gov/npsd/data/dashboard/index.html",
            "title": "Blood or blood product dashboard"
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              "restrictionStatus": "unrestricted"
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          ]
        },
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          "@type": "Distribution",
          "title": "Pressure Injury Dashboard",
          "description": "Pressure Injury dashboard in XLSX format",
          "accessURL": "https://www.ahrq.gov/npsd/data/dashboard/pressure-ulcer.html",
          "downloadURL": "https://www.ahrq.gov/sites/default/files/wysiwyg/npsd/Pressure_Injury_Dashboard_Data_2025.xlsx",
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          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.ahrq.gov/npsd/data/dashboard/index.html",
            "title": "Pressure injury dashboard"
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              "restrictionStatus": "unrestricted"
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          ]
        },
        {
          "@type": "Distribution",
          "title": "Device or Medical/Surgical Supply Dashboard",
          "description": "Device dashboard in XLSX format",
          "accessURL": "https://www.ahrq.gov/npsd/data/dashboard/devices.html",
          "downloadURL": "https://www.ahrq.gov/sites/default/files/wysiwyg/npsd/Device_Dashboard_Data_2025.xlsx",
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          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.ahrq.gov/npsd/data/dashboard/index.html",
            "title": "Device dashboard"
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              "restrictionStatus": "unrestricted"
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          ]
        },
        {
          "@type": "Distribution",
          "title": "Falls Dashboard",
          "description": "Fall dashboard in XLSX format",
          "accessURL": "https://www.ahrq.gov/npsd/data/dashboard/falls.html",
          "downloadURL": "https://www.ahrq.gov/sites/default/files/wysiwyg/npsd/Falls_Dashboard_Data_2025.xlsx",
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          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.ahrq.gov/npsd/data/dashboard/index.html",
            "title": "Fall dashboard"
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            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "Medication or Other Substance Dashboard",
          "description": "Medication dashboard in XLSX format",
          "accessURL": "https://www.ahrq.gov/npsd/data/dashboard/medication.html",
          "downloadURL": "https://www.ahrq.gov/sites/default/files/wysiwyg/npsd/Medication_Dashboard_Data_2025.xlsx",
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          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.ahrq.gov/npsd/data/dashboard/index.html",
            "title": "Medication dashboard"
          },
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            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "Perinatal Dashboard",
          "description": "Perinatal dashboard in XLSX format",
          "accessURL": "https://www.ahrq.gov/npsd/data/dashboard/perinatal.html",
          "downloadURL": "https://www.ahrq.gov/sites/default/files/wysiwyg/npsd/Perinatal_Dashboard_Data_2025.xlsx",
          "format": "vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-09-08",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.ahrq.gov/npsd/data/dashboard/index.html",
            "title": "Perinatal dashboard"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.alliancegenome.org/",
      "title": "Alliance of Genome Resources (AGR)",
      "description": "The Alliance of Genome Resources (the Alliance) is a knowledgebase for the domains of genetics and genomics in the discipline of comparative biology. The primary mission of the Alliance is to develop and maintain a knowledge commons platform for comparative genomics that facilitates the use of diverse model organisms to investigate the genetic and genomic basis of human biology, health, and disease. At the heart of our mission lies our commitment to ensuring long-term preservation and accessibility to the expertly curated and standardized annotations representing functional, phenotypic, and disease association properties of genes and other genome features diligently provided by Alliance members.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Neuroscience",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.alliancegenome.org/downloads"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.antibodysociety.org/the-airr-community/airr-data-commons/",
      "title": "AIRR Data Commons (ADC)",
      "description": "The AIRR Data Commons has grown from just under 400 million BCR and TCR sequence annotations (unique rearrangements) in late 2018 to its current size of ten distributed repositories with over 90 studies and over 11,000 repertoires, and 5.6 billion sequence annotations available for data exploration and download.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Allergy and Infectious Diseases (NIAID)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.arcgis.com/home/item.html?id=3878a108dae74b1c8f1e515cd0e4fc1d",
      "title": "MRC Unit Locations - Dashboard",
      "description": "This dashboard displays the number and location of MRC units and volunteers, self-reported by MRC leadership.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "GIS",
          "hasEmail": "mailto:gis@hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Data, Analytics, & Information Advantage (ODAIA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-06-30",
      "issued": "2022-10-12",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health; Emergency Preparedness; Geospatial; MRC"
        }
      ],
      "keyword": [
        "ASPR",
        "dashboard",
        "emergency response",
        "geospatial",
        "GIS",
        "Medical Reserve Corps",
        "MRC",
        "public health",
        "unit locations",
        "volunteers"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.arcgis.com/home/item.html?id=3878a108dae74b1c8f1e515cd0e4fc1d",
        "title": "MRC Unit Locations - Dashboard"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "MRC Unit Locations - Dashboard HTML Application",
          "description": "MRC Unit Locations Dashboard",
          "accessURL": "https://www.arcgis.com/apps/dashboards/3878a108dae74b1c8f1e515cd0e4fc1d",
          "format": "HTML",
          "mediaType": "text/html",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "Unrestricted"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.bindingdb.org/rwd/bind/index.jsp",
      "title": "Binding Database (BindingDB)",
      "description": "BindingDB is a public, web-accessible database of measured binding affinities, focusing chiefly on the interactions of proteins considered to be candidate drug-targets with ligands that are small, drug-like molecules. BindingDB supports medicinal chemistry and drug discovery via literature awareness and development of structure-activity relations (SAR and QSAR); validation of computational chemistry and molecular modeling approaches such as docking, scoring and free energy methods; chemical biology and chemical genomics; and basic studies of the physical chemistry of molecular recognition. BindingDB also includes a small collection of host-guest binding data of interest to chemists studying supramolecular systems.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of General Medical Sciences (NIGMS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Other"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.bindingdb.org/rwd/bind/chemsearch/marvin/Download.jsp"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.brainimagelibrary.org",
      "title": "Brain Image Library",
      "description": "The Brain Image Library (BIL) is a national public resource enabling researchers to deposit, analyze, mine, share and interact with large brain image datasets.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Mental Health (NIMH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Imaging",
        "Neuroscience"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.brainimagelibrary.org/download.html"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.bv-brc.org/",
      "title": "Bacterial and Viral Bioinformatics Resource Center (BV-BRC)",
      "description": "The Bacterial and Viral Bioinformatics Resource Center (BV-BRC) is an information system designed to support the biomedical research community’s work on bacterial and viral infectious diseases via integration of vital pathogen information with rich data and analysis tools. BV-BRC combines the data, technology, and extensive user communities from two long-running centers: PATRIC, the bacterial system , and IRD/ViPR, the viral systems. In addition to hundreds of thousands of bacterial genomes in PATRIC and over a million viral genomes in IRD/ViPR, the two resources host data on protein structure and function, clinical studies, drug targets and resistance, epidemiology, and other features, and provide open source tools for data analysis and genomic annotation.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Allergy and Infectious Diseases (NIAID)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Sequence biology"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cancermodels.org",
      "title": "Cancer Models.org",
      "description": "CancerModels.Org provides harmonized and integrated model attributes to support consistent searching across the originating resources. Patient-derived cancer models have become an essential tool in both cancer research, drug development and preclinical studies. Each model type - PDX, organoid and cell line - offers unique advantages and is better suited for specific research areas.\n\nResearchers, clinicians, bioinformaticians and analytical tool developers face the challenge of navigating a complex landscape to find suitable models and associated data across multiple commercial and academic resources without the benefit of shared data standards or interoperable data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Cancer Institute (NCI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Other"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.cancermodels.org"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cbioportal.org/",
      "title": "cBioPortal",
      "description": "cBioPortal's primary goal is to make complex cancer genomic data accessible and interpretable for cancer biologists and clinicians. We transform multimodal data into interactive visualizations that facilitate biological discovery and clinical decision-making.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Cancer Institute (NCI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.cbioportal.org/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/acanthamoeba/data-research/index.html",
      "title": "Data on Non-keratitis Acanthamoeba",
      "description": "Collection of CDC data visualizations represented in the WCMS report for Acanthamoeba. Example components include Number of Cases by State of Exposure, Infections by year, Case Count by Age and Sex.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Acanthamoeba"
        }
      ],
      "keyword": [
        "Acanthamoeba",
        "data visualization",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/acanthamoeba/data-research/index.html",
        "title": "Data on Non-keratitis Acanthamoeba"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Date of symptom onset by Month",
          "description": "CDC data visualization titled Date of symptom onset by Month. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/acanthamoeba/data-research/index.html",
          "downloadURL": "https://www.cdc.gov/acanthamoeba/data-research/modules/date-of-symptoms-by-month.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-26"
        },
        {
          "@type": "Distribution",
          "title": "Infections by year",
          "description": "CDC data visualization titled Infections by year. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/acanthamoeba/data-research/index.html",
          "downloadURL": "https://www.cdc.gov/acanthamoeba/data-research/modules/infections-by-year.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-30"
        },
        {
          "@type": "Distribution",
          "title": "Number of Cases by State of Exposure",
          "description": "CDC data visualization titled Number of Cases by State of Exposure. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/acanthamoeba/data-research/index.html",
          "downloadURL": "https://www.cdc.gov/acanthamoeba/data-research/modules/state.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-26"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/advanced-molecular-detection/php/investments/index.html",
      "title": "AMD National Investment Maps",
      "description": "Includes downloadable CSV data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Advanced Molecular Detection",
          "hasEmail": "mailto:oamd@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Infectious Disease Readiness and Innovation (DIDRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Advanced Molecular Detection"
        }
      ],
      "keyword": [
        "Advanced Molecular Detection",
        "Interactive investment map",
        "DIDRI"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/advanced-molecular-detection/php/investments/index.html",
        "title": "AMD National Investment Maps"
      },
      "status": "active",
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/anaplasmosis/hcp/statistics/index.html",
      "title": "Anaplasmosis Epidemiology and Statistics",
      "description": "Public CDC interactive dashboard providing data or related information for Anaplasmosis. Source inventory cadence or coverage note: Through 2023.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Rickettsial Zoonoses Branch",
          "hasEmail": "mailto:rzbepidiag@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Anaplasmosis"
        }
      ],
      "keyword": [
        "Anaplasmosis",
        "Interactive dashboard",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/anaplasmosis/hcp/statistics/index.html",
        "title": "Anaplasmosis Epidemiology and Statistics"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Anaplasmosis Epidemiology and Statistics",
          "description": "Access point for Anaplasmosis Epidemiology and Statistics.",
          "accessURL": "https://www.cdc.gov/anaplasmosis/hcp/statistics/index.html",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/anthrax/php/surveillance/index.html",
      "title": "Anthrax Surveillance",
      "description": "Public CDC surveillance documentation / data links providing data or related information for Anthrax.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Anthrax"
        }
      ],
      "keyword": [
        "Anthrax",
        "Surveillance documentation / data links",
        "DHCPP"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/anthrax/php/surveillance/index.html",
        "title": "Anthrax Surveillance"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/anthrax/php/surveillance/index.html",
        "title": "Anthrax Surveillance"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Anthrax Surveillance",
          "description": "Access point for Anthrax Surveillance.",
          "accessURL": "https://www.cdc.gov/anthrax/php/surveillance/index.html",
          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/antimicrobial-resistance/programs/ar-investment-map.html",
      "title": "AR Investment Map",
      "description": "Public CDC interactive map providing data or related information for CDC extramural partner funding for combating antimicrobial resistance. Source inventory cadence or coverage note: Annual.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Antimicrobial Resistance Coordination and Strategy Unit (ARX) Policy & Partnerships Team",
          "hasEmail": "mailto:arxpolicy@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Healthcare Quality Promotion (DHQP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Extramural partner funding for combating antimicrobial resistance"
        }
      ],
      "keyword": [
        "Antimicrobial resistance investments",
        "Interactive map",
        "DHQP"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://ARinvestments.cdc.gov",
        "title": "AR Investment Map"
      },
      "status": "active",
      "accrualPeriodicity": "annual",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "AR Investment Map overview",
          "description": "Access point for AR Investment Map.",
          "accessURL": "https://www.cdc.gov/antimicrobial-resistance/programs/ar-investment-map.html",
          "format": "Interactive web application",
          "modified": "2026-01-30"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/arctic-investigations/php/about/index.html",
      "title": "AIP Program and Surveillance Overview",
      "description": "No standalone public AIP dashboard identified.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Arctic Investigations Program; DIDRI",
          "hasEmail": "mailto:publicdidri@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Infectious Disease Readiness and Innovation (DIDRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Arctic Investigations Program"
        }
      ],
      "keyword": [
        "Arctic Investigations Program",
        "Program / surveillance page",
        "DIDRI"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/arctic-investigations/php/about/index.html",
        "title": "AIP Program and Surveillance Overview"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "AIP Program and Surveillance Overview",
          "description": "No standalone public AIP dashboard identified.",
          "accessURL": "https://www.cdc.gov/arctic-investigations/php/about/index.html",
          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/asthma/brfss/2021/brfssdata.html",
      "title": "Behavioral Risk Factor Surveillance System (BRFSS) -- Adult Asthma Questions",
      "description": "The Behavioral Risk Factor Surveillance System (BRFSS) is a health-related telephone survey that collects state data (as well as the District of Columbia and some US territories) about primarily adult US residents regarding their health-related risk behaviors, chronic health conditions, health-care access, and use of preventive services. BRFSS completes more than 400,000 adult interviews each year.  Survey questions regarding asthma used to determine lifetime and current asthma.\n\n(CDC/NCEH/DEHSP/AAQB uses these adult asthma data [accessed via CDC's BRFSS colleagues] as is [no questions added] to obtain state-level estimates of adult asthma prevalence",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC NCCDPHP Division of Population Health",
          "hasEmail": "mailto:BRFSS2@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Asthma and Air Quality Branch (AAQB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Division of Population Health; National Center for Chronic Disease Prevention and Health Promotion; Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/asthma/brfss/2021/child/brfsschilddata.html",
      "title": "Behavioral Risk Factor Surveillance System (BFSS) -- Childhood Asthma Questions",
      "description": "In the Behavioral Risk Factor Surveillance System (BRFSS), optional survey questions regarding asthma can be used by states to determine state-level child lifetime and current asthma prevalence by certain demographic characteristics to inform public health professionals, the public, and national, state, and local decisionmakers on the state of asthma.\n\n(CDC/NCEH/DEHSP/AAQB provided funding for these additional, optional survey questions about childhood asthma; the \"parent\" survey, BRFSS, is administered by another center in CDC)",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC NCCDPHP Division of Population Health",
          "hasEmail": "mailto:BRFSS2@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Asthma and Air Quality Branch (AAQB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC); National Center for Chronic Disease Prevention and Health Promotion; Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/babesiosis/php/data-stats/index.html",
      "title": "Babesiosis Data and Statistics",
      "description": "Public CDC data / statistics page providing data or related information for Babesiosis.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Domestic Epidemiology Team / MVPB - Valerie Bampoe",
          "hasEmail": "mailto:babesiosis@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Parasitic Diseases and Malaria (DPDM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Babesiosis"
        }
      ],
      "keyword": [
        "Babesiosis",
        "Data / statistics page",
        "DPDM"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/babesiosis/php/data-stats/index.html",
        "title": "Babesiosis Data and Statistics"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Babesiosis Data and Statistics",
          "description": "Access point for Babesiosis Data and Statistics.",
          "accessURL": "https://www.cdc.gov/babesiosis/php/data-stats/index.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "Babesiosis Data and Statistics related resource",
          "description": "Access point for Babesiosis Data and Statistics.",
          "accessURL": "https://www.cdc.gov/babesiosis/maps-graphs/index.html",
          "format": "Web resource"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/balamuthia/data-research/index.html",
      "title": "Data on Balamuthia Infection",
      "description": "Collection of CDC data visualizations represented in the WCMS report for Balamuthia. Example components include Infections by year, Date of symptom onset by Month, Case Count by Age and Sex.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Balamuthia"
        }
      ],
      "keyword": [
        "Balamuthia",
        "data visualization",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/balamuthia/data-research/index.html",
        "title": "Data on Balamuthia Infection"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Case Count by Age and Sex",
          "description": "CDC data visualization titled Case Count by Age and Sex. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/balamuthia/data-research/index.html",
          "downloadURL": "https://www.cdc.gov/balamuthia/data-research/modules/case-by-age-and-sex.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-05-07"
        },
        {
          "@type": "Distribution",
          "title": "Date of symptom onset by Month",
          "description": "CDC data visualization titled Date of symptom onset by Month. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/balamuthia/data-research/index.html",
          "downloadURL": "https://www.cdc.gov/balamuthia/data-research/modules/date-of-symptoms-by-month.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-26"
        },
        {
          "@type": "Distribution",
          "title": "Infections by year",
          "description": "CDC data visualization titled Infections by year. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/balamuthia/data-research/index.html",
          "downloadURL": "https://www.cdc.gov/balamuthia/data-research/modules/infections-by-year.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-26"
        },
        {
          "@type": "Distribution",
          "title": "Number of Cases by State of Exposure",
          "description": "CDC data visualization titled Number of Cases by State of Exposure. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/balamuthia/data-research/index.html",
          "downloadURL": "https://www.cdc.gov/balamuthia/data-research/modules/state.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-05-11"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/beam/dashboard/index.html",
      "title": "BEAM Dashboard",
      "description": "Umbrella dashboard integrating SEDRIC, NORS, NARMS and COVIS-derived views. Source inventory cadence or coverage note: Varies by view; public interactive Power BI.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Enteric"
        },
        {
          "@type": "Concept",
          "prefLabel": "foodborne"
        },
        {
          "@type": "Concept",
          "prefLabel": "waterborne and fungal diseases"
        }
      ],
      "keyword": [
        "Enteric",
        "foodborne",
        "waterborne and fungal diseases",
        "Platform / dashboard",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/beam/dashboard/index.html",
        "title": "BEAM Dashboard"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/beam/faq/index.html",
        "title": "BEAM FAQs and methodology"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "BEAM Dashboard",
          "description": "Umbrella dashboard integrating SEDRIC, NORS, NARMS and COVIS-derived views.",
          "accessURL": "https://www.cdc.gov/beam/dashboard/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "BEAM Dashboard application",
          "description": "Umbrella dashboard integrating SEDRIC, NORS, NARMS and COVIS-derived views.",
          "accessURL": "https://app.powerbigov.us/view?r=eyJrIjoiZmU5ZjA2ZDItNTU0MS00M2EzLWEyZmQtZmY3Y2RlZjdjYTdjIiwidCI6IjljZTcwODY5LTYwZGItNDRmZC1hYmU4LWQyNzY3MDc3ZmM4ZiJ9",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/blastomycosis/data-research/statistics/index.html",
      "title": "Blastomycosis Data and Statistics",
      "description": "Public CDC data / statistics page providing data or related information for Blastomycosis.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Blastomycosis"
        }
      ],
      "keyword": [
        "Blastomycosis",
        "Data / statistics page",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/blastomycosis/data-research/statistics/index.html",
        "title": "Blastomycosis Data and Statistics"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Blastomycosis Data and Statistics",
          "description": "Access point for Blastomycosis Data and Statistics.",
          "accessURL": "https://www.cdc.gov/blastomycosis/data-research/statistics/index.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "Estimated Areas with Blastomyces",
          "description": "Access point for Estimated Areas with Blastomyces.",
          "accessURL": "https://www.cdc.gov/blastomycosis/causes/index.html",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
      "title": "National Botulism Surveillance Summary",
      "description": "Public CDC annual surveillance report providing data or related information for Botulism.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Botulism"
        }
      ],
      "keyword": [
        "Botulism",
        "Annual surveillance report",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
        "title": "National Botulism Surveillance Summary"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Botulism Toxin Type: A (n=22)",
          "description": "CDC data visualization titled Botulism Toxin Type: A (n=22) related to Environmental Health. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2018/maps/figure2_TypeACases.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2021-10-05"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxin Type: A (n=89)",
          "description": "CDC data visualization titled Botulism Toxin Type: A (n=89) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2019/maps/type-a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-07-11"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxin Type: Af (n=1)",
          "description": "CDC data visualization titled Botulism Toxin Type: Af (n=1) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2019/maps/type-af.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-07-10"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxin Type: B (n=100)",
          "description": "CDC data visualization titled Botulism Toxin Type: B (n=100) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2019/maps/type-b.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-07-10"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxin Type: B (n=94)",
          "description": "CDC data visualization titled Botulism Toxin Type: B (n=94) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2018/maps/figure_2_TypeBCases.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2021-10-06"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxin Type: Ba (n=1)",
          "description": "CDC data visualization titled Botulism Toxin Type: Ba (n=1) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2019/maps/type-ba.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-14"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxin Type: Ba (n=2)",
          "description": "CDC data visualization titled Botulism Toxin Type: Ba (n=2) related to Environmental Health. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2018/maps/figure2_toxin_type_Ba.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2021-10-06"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxin Type: Bf (n=2)",
          "description": "CDC data visualization titled Botulism Toxin Type: Bf (n=2) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2019/maps/type-bf.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-07-10"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxin Type: Bf (n=3)",
          "description": "CDC data visualization titled Botulism Toxin Type: Bf (n=3) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2018/maps/figure2_toxin_type_Bf.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2021-10-06"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxin Type: E (n=5)",
          "description": "CDC data visualization titled Botulism Toxin Type: E (n=5) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2019/maps/type-e.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-07-10"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxin Type: E (n=6)",
          "description": "CDC data visualization titled Botulism Toxin Type: E (n=6) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2018/maps/figure2_toxin_type_E.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2021-09-24"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxin Type: F (n=3)",
          "description": "CDC data visualization titled Botulism Toxin Type: F (n=3) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2019/maps/type-f.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-07"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxin Type: F (n=4)",
          "description": "CDC data visualization titled Botulism Toxin Type: F (n=4) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2018/maps/figure2_troxin_typeF.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2021-10-06"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxtype A (n=118)",
          "description": "CDC data visualization titled Botulism Toxtype A (n=118) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2021/maps/ToxTypeA2021.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-12"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxtype A (n=93)",
          "description": "CDC data visualization titled Botulism Toxtype A (n=93) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2020/maps/toxtype-a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-14"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxtype AB (n=2)",
          "description": "CDC data visualization titled Botulism Toxtype AB (n=2) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2020/maps/toxtype-AB.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-14"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxtype ABE (n=5)",
          "description": "CDC data visualization titled Botulism Toxtype ABE (n=5) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2021/maps/toxtypeABE2021.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-14"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxtype B (n=104)",
          "description": "CDC data visualization titled Botulism Toxtype B (n=104) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2020/maps/toxtype-B.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-14"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxtype B (n=118)",
          "description": "CDC data visualization titled Botulism Toxtype B (n=118) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2021/maps/ToxtypeB2020.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-14"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxtype Ba (n=1)",
          "description": "CDC data visualization titled Botulism Toxtype Ba (n=1) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2021/maps/ToxtypeBa2021.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-14"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxtype Bf (n=1)",
          "description": "CDC data visualization titled Botulism Toxtype Bf (n=1) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2020/maps/toxtype-Bf.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-14"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxtype E (n=4)",
          "description": "CDC data visualization titled Botulism Toxtype E (n=4) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2021/maps/ToxtypeE2021.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-09"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxtype F (n=1)",
          "description": "CDC data visualization titled Botulism Toxtype F (n=1) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2021/maps/ToxtypeF2021.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-14"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxtype F (n=3)",
          "description": "CDC data visualization titled Botulism Toxtype F (n=3) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2020/maps/type-f.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-14"
        },
        {
          "@type": "Distribution",
          "title": "Botulism Toxtype: Bf (n=1)",
          "description": "CDC data visualization titled Botulism Toxtype: Bf (n=1) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2021/maps/ToxtypeBf2021.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-14"
        },
        {
          "@type": "Distribution",
          "title": "Foodborne Botulism (n=22)",
          "description": "CDC data visualization titled Foodborne Botulism (n=22) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2021/maps/foodborne2021.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-09"
        },
        {
          "@type": "Distribution",
          "title": "Foodborne Botulism Cases (n=17)",
          "description": "CDC data visualization titled Foodborne Botulism Cases (n=17) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2018/maps/foodborne_figure1c.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2021-10-05"
        },
        {
          "@type": "Distribution",
          "title": "Foodborne Botulism Cases (n=20)",
          "description": "CDC data visualization titled Foodborne Botulism Cases (n=20) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2019/maps/foodborne.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-07-10"
        },
        {
          "@type": "Distribution",
          "title": "Foodborne Botulism Cases (n=9)",
          "description": "CDC data visualization titled Foodborne Botulism Cases (n=9) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2020/maps/foodborne.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-06"
        },
        {
          "@type": "Distribution",
          "title": "Infant Botulism Cases",
          "description": "CDC data visualization titled Infant Botulism Cases related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2018/maps/figure1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2021-10-01"
        },
        {
          "@type": "Distribution",
          "title": "Infant Botulism Cases (n=152)",
          "description": "CDC data visualization titled Infant Botulism Cases (n=152) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2019/maps/infant.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-07-10"
        },
        {
          "@type": "Distribution",
          "title": "Infant Botulism Cases (n=159)",
          "description": "CDC data visualization titled Infant Botulism Cases (n=159) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2020/maps/infant.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-06"
        },
        {
          "@type": "Distribution",
          "title": "Infant Botulism Cases (n=181)",
          "description": "CDC data visualization titled Infant Botulism Cases (n=181) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2021/maps/infant2021.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-08"
        },
        {
          "@type": "Distribution",
          "title": "Map - Botulism Outbreak, June 2026",
          "description": "CDC data visualization titled Map - Botulism Outbreak, June 2026 related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/outbreaks-investigations/infant-formula-june-2026/modules/map-botulism-june-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-02"
        },
        {
          "@type": "Distribution",
          "title": "Map - Botulism Outbreak, November 2025",
          "description": "CDC data visualization titled Map - Botulism Outbreak, November 2025 related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/es/outbreaks-investigations/infant-formula-nov-2025/modules/map-botulism-nov-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-02-18"
        },
        {
          "@type": "Distribution",
          "title": "Map - Botulism Outbreak, November 2025",
          "description": "CDC data visualization titled Map - Botulism Outbreak, November 2025 related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/outbreaks-investigations/infant-formula-nov-2025/modules/map-botulism-nov-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-02-18"
        },
        {
          "@type": "Distribution",
          "title": "National Botulism Surveillance Summary",
          "description": "Access point for National Botulism Surveillance Summary.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "Other Botulism Cases (n=1)",
          "description": "CDC data visualization titled Other Botulism Cases (n=1) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2018/maps/figure1_other_map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2021-10-01"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Botulism Outbreak, June 2026",
          "description": "CDC data visualization titled Timeline - Botulism Outbreak, June 2026 related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/outbreaks-investigations/infant-formula-june-2026/modules/timeline-botulism-june-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-08"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Botulism Outbreak, June 2026",
          "description": "CDC data visualization titled Timeline - Botulism Outbreak, June 2026 related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/outbreaks-investigations/infant-formula-june-2026/modules/timeline-botulism-june-2026-spanish.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-08"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Botulism Outbreak, November 2025",
          "description": "CDC data visualization titled Timeline - Botulism Outbreak, November 2025 related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/es/outbreaks-investigations/infant-formula-nov-2025/modules/timeline-botulism-nov-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-02-18"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Botulism Outbreak, November 2025",
          "description": "CDC data visualization titled Timeline - Botulism Outbreak, November 2025 related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/outbreaks-investigations/infant-formula-nov-2025/modules/timeline-botulism-nov-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-02-18"
        },
        {
          "@type": "Distribution",
          "title": "Wound Botulism Cases (n=29)",
          "description": "CDC data visualization titled Wound Botulism Cases (n=29) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2019/maps/wound.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-07-10"
        },
        {
          "@type": "Distribution",
          "title": "Wound Botulism Cases (n=51)",
          "description": "CDC data visualization titled Wound Botulism Cases (n=51) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2018/maps/woundCases_figure2.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2021-10-01"
        },
        {
          "@type": "Distribution",
          "title": "Wound Botulism Cases (n=55)",
          "description": "CDC data visualization titled Wound Botulism Cases (n=55) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2020/maps/wound.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-06"
        },
        {
          "@type": "Distribution",
          "title": "Wound Botulism Cases (n=66)",
          "description": "CDC data visualization titled Wound Botulism Cases (n=66) related to Botulism. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/botulism/php/national-botulism-surveillance/2021.html",
          "downloadURL": "https://www.cdc.gov/botulism/surv/2021/maps/wound2021.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-09"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/brucellosis/php/surveillance/index.html",
      "title": "Brucellosis Surveillance",
      "description": "Public CDC surveillance documentation / data links providing data or related information for Brucellosis.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Brucellosis"
        }
      ],
      "keyword": [
        "Brucellosis",
        "Surveillance documentation / data links",
        "DHCPP"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/brucellosis/php/surveillance/index.html",
        "title": "Brucellosis Surveillance"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/brucellosis/php/surveillance/index.html",
        "title": "Brucellosis Surveillance"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Brucellosis Surveillance",
          "description": "Access point for Brucellosis Surveillance.",
          "accessURL": "https://www.cdc.gov/brucellosis/php/surveillance/index.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "Brucellosis Surveillance Report, 2010-2024",
          "description": "Access point for Brucellosis Surveillance Report, 2010-2024.",
          "accessURL": "https://www.cdc.gov/mmwr/volumes/75/ss/ss7502a1.htm",
          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/cache-valley/data-maps/index.html",
      "title": "Cache Valley Virus Data and Maps",
      "description": "Public CDC map / static data page providing data or related information for Cache Valley virus.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ArboNET Surveillance Team",
          "hasEmail": "mailto:dvbid2@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Cache Valley virus"
        }
      ],
      "keyword": [
        "Cache Valley virus",
        "Map / static data page",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/cache-valley/data-maps/index.html",
        "title": "Cache Valley Virus Data and Maps"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Cache Valley Virus Data and Maps",
          "description": "Access point for Cache Valley Virus Data and Maps.",
          "accessURL": "https://www.cdc.gov/cache-valley/data-maps/index.html",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/candida-auris/tracking-c-auris/index.html",
      "title": "Tracking Candida auris",
      "description": "Public CDC interactive data page providing data or related information for Candida auris.",
      "contactPoint": [
        {
          "@type": "Kind",
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          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Candida auris"
        }
      ],
      "keyword": [
        "Candida auris",
        "Interactive data page",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/candida-auris/tracking-c-auris/index.html",
        "title": "Tracking Candida auris"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "C. auris Yearly Timeline",
          "description": "CDC data visualization titled C. auris Yearly Timeline. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/candida-auris/tracking-c-auris/index.html",
          "downloadURL": "https://www.cdc.gov/candida-auris/tracking-c-auris/modules/c-auris-yearly-timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-01-22"
        },
        {
          "@type": "Distribution",
          "title": "Clinical Cases of C. auris Reported in the U.S.",
          "description": "CDC data visualization titled Clinical Cases of C. auris Reported in the U.S. related to Candida auris. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/candida-auris/tracking-c-auris/index.html",
          "downloadURL": "https://www.cdc.gov/candida-auris/tracking-c-auris/modules/cauris-in-us-old.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-11-04"
        },
        {
          "@type": "Distribution",
          "title": "Clinical Cases of C. auris Reported in the U.S.",
          "description": "CDC data visualization titled Clinical Cases of C. auris Reported in the U.S. related to Candida auris. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/candida-auris/tracking-c-auris/index.html",
          "downloadURL": "https://www.cdc.gov/candida-auris/tracking-c-auris/modules/cauris-tracking-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-01-22"
        },
        {
          "@type": "Distribution",
          "title": "Final Map",
          "description": "CDC data visualization titled Final Map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/candida-auris/tracking-c-auris/index.html",
          "downloadURL": "https://www.cdc.gov/candida-auris/tracking-c-auris/modules/cauris-in-us.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-11-04"
        },
        {
          "@type": "Distribution",
          "title": "Tracking Candida auris",
          "description": "Access point for Tracking Candida auris.",
          "accessURL": "https://www.cdc.gov/candida-auris/tracking-c-auris/index.html",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/candidiasis/data-research/facts-stats/",
      "title": "Candidemia Data and Statistics",
      "description": "Public CDC data / statistics page providing data or related information for Candidemia.",
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        {
          "@type": "Kind",
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          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Candidemia"
        }
      ],
      "keyword": [
        "Candidemia",
        "Data / statistics page",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/candidiasis/data-research/facts-stats/",
        "title": "Candidemia Data and Statistics"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "C. parapsilosis fluconazole resistance figures",
          "description": "CDC data visualization titled C. parapsilosis fluconazole resistance figures. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/candidiasis/data-research/facts-stats/",
          "downloadURL": "https://www.cdc.gov/candidiasis/antimicrobial-resistance/modules/c-parapsilosis-fl.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-02"
        },
        {
          "@type": "Distribution",
          "title": "Candidemia Data and Statistics",
          "description": "Access point for Candidemia Data and Statistics.",
          "accessURL": "https://www.cdc.gov/candidiasis/data-research/facts-stats/",
          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/chagas/spreads/index.html",
      "title": "Chagas Disease Geographic Distribution",
      "description": "Triatomine bugs in the United States:  Representation of the states that have reported triatomine bugs.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Chagas team",
          "hasEmail": "mailto:chagas@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Parasitic Diseases and Malaria (DPDM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Chagas disease"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/chagas/spreads/species.html",
      "title": "Triatomine Bugs in the United States",
      "description": "Public CDC map / static data page providing data or related information for Chagas disease.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Domestic Epidemiology Team / MVPB - Andreea Bealle",
          "hasEmail": "mailto:chagas@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Parasitic Diseases and Malaria (DPDM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Chagas disease"
        }
      ],
      "keyword": [
        "Chagas disease",
        "Map / static data page",
        "DPDM"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/chagas/spreads/species.html",
        "title": "Triatomine Bugs in the United States"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Chagas Disease Geographic Distribution",
          "description": "Access point for Chagas Disease Geographic Distribution.",
          "accessURL": "https://www.cdc.gov/chagas/spreads/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Triatomine Bugs in the United States",
          "description": "Access point for Triatomine Bugs in the United States.",
          "accessURL": "https://www.cdc.gov/chagas/spreads/species.html",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/chapare/index.html",
      "title": "Chapare Hemorrhagic Fever Case History",
      "description": "Text description of case reports and outbreak history of Chapare Hemorrhagic Fever in Bolivia",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Viral hemorrhagic fevers"
        }
      ],
      "keyword": [
        "Chapare hemorrhagic fever"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/chikungunya/data-maps/chikungunya-us.html",
      "title": "Chikungunya in the United States",
      "description": "Public CDC data / statistics page providing data or related information for Chikungunya.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ArboNET Surveillance Team",
          "hasEmail": "mailto:dvbid2@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Chikungunya"
        }
      ],
      "keyword": [
        "Chikungunya",
        "Data / statistics page",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/chikungunya/data-maps/chikungunya-us.html",
        "title": "Chikungunya in the United States"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Chikungunya in the United States",
          "description": "Access point for Chikungunya in the United States.",
          "accessURL": "https://www.cdc.gov/chikungunya/data-maps/chikungunya-us.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "Global chikungunya",
          "description": "CDC data visualization titled Global chikungunya related to Mosquito-Borne Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/chikungunya/data-maps/chikungunya-us.html",
          "downloadURL": "https://www.cdc.gov/chikungunya/modules/geo/chik-areas-risk.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-11-12"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/chronic-wasting/data-research/index.html",
      "title": "Chronic Wasting Disease Occurrence Map and Data",
      "description": "Public CDC map / downloadable data providing data or related information for Prion diseases.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Prion diseases"
        }
      ],
      "keyword": [
        "Prion diseases",
        "Map / downloadable data",
        "DHCPP"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/chronic-wasting/data-research/index.html",
        "title": "Chronic Wasting Disease Occurrence Map and Data"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Chronic Wasting Disease Among Free-Ranging Cervids by County",
          "description": "CDC data visualization titled Chronic Wasting Disease Among Free-Ranging Cervids by County related to Chronic Wasting Disease. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/chronic-wasting/data-research/index.html",
          "downloadURL": "https://www.cdc.gov/chronic-wasting/animals/modules/chronic-wasting-disease-among-free-ranging-cervids-by-county.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-05-14"
        },
        {
          "@type": "Distribution",
          "title": "Chronic Wasting Disease Occurrence Map and Data",
          "description": "Access point for Chronic Wasting Disease Occurrence Map and Data.",
          "accessURL": "https://www.cdc.gov/chronic-wasting/data-research/index.html",
          "format": "Downloadable analytical tool"
        },
        {
          "@type": "Distribution",
          "title": "CWD County Progression",
          "description": "CDC data visualization titled CWD County Progression. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/chronic-wasting/data-research/index.html",
          "downloadURL": "https://www.cdc.gov/chronic-wasting/data-research/cwd-county-progression.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-05-15"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/colorado-tick-fever/data-maps/index.html",
      "title": "Colorado Tick Fever Data and Maps",
      "description": "Public CDC map / static data page providing data or related information for Colorado tick fever.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ArboNET Surveillance Team",
          "hasEmail": "mailto:dvbid2@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Colorado tick fever"
        }
      ],
      "keyword": [
        "Colorado tick fever",
        "Map / static data page",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/colorado-tick-fever/data-maps/index.html",
        "title": "Colorado Tick Fever Data and Maps"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Colorado Tick Fever Data and Maps",
          "description": "Access point for Colorado Tick Fever Data and Maps.",
          "accessURL": "https://www.cdc.gov/colorado-tick-fever/data-maps/index.html",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/creutzfeldt-jakob/hcp/clinical-overview/index.html",
      "title": "Classic CJD Surveillance Overview",
      "description": "Public CDC surveillance data page providing data or related information for Prion diseases.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Prion diseases"
        }
      ],
      "keyword": [
        "Prion diseases",
        "Surveillance data page",
        "DHCPP"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/creutzfeldt-jakob/hcp/clinical-overview/index.html",
        "title": "Classic CJD Surveillance Overview"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Classic CJD Surveillance Overview",
          "description": "Access point for Classic CJD Surveillance Overview.",
          "accessURL": "https://www.cdc.gov/creutzfeldt-jakob/hcp/clinical-overview/index.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "Variant CJD Reported Cases",
          "description": "Access point for Variant CJD Reported Cases.",
          "accessURL": "https://www.cdc.gov/variant-creutzfeldt-jakob/about/index.html",
          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/crimean-congo-hemorrhagic/about/index.html",
      "title": "Crimean-Congo Hemorrhagic Fever Distribution",
      "description": "Map depicting Crimean-Congo Hemorrhagic Fever distribution globally",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Viral hemorrhagic fevers"
        }
      ],
      "keyword": [
        "Crimean-Congo hemorrhagic fever"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/cronobacter/php/surveillance/index.html",
      "title": "Cronobacter Reporting and Surveillance",
      "description": "Public CDC surveillance data page providing data or related information for Cronobacter.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Cronobacter"
        }
      ],
      "keyword": [
        "Cronobacter",
        "Surveillance data page",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/cronobacter/php/surveillance/index.html",
        "title": "Cronobacter Reporting and Surveillance"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Cronobacter Reporting and Surveillance",
          "description": "Access point for Cronobacter Reporting and Surveillance.",
          "accessURL": "https://www.cdc.gov/cronobacter/php/surveillance/index.html",
          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/cyclosporiasis/php/surveillance/index.html",
      "title": "Cyclospora Surveillance",
      "description": "Public CDC surveillance data page providing data or related information for Cyclosporiasis.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Cyclosporiasis"
        }
      ],
      "keyword": [
        "Cyclosporiasis",
        "Surveillance data page",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/cyclosporiasis/php/surveillance/index.html",
        "title": "Cyclospora Surveillance"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Cases 2019",
          "description": "CDC data visualization titled Cases 2019. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/cyclosporiasis/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/parasites/malaria/modules/malaria_surveillance/Cases-2019.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-05-20"
        },
        {
          "@type": "Distribution",
          "title": "Cases 2020",
          "description": "CDC data visualization titled Cases 2020. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/cyclosporiasis/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/parasites/malaria/modules/malaria_surveillance/Cases-2020.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-05-15"
        },
        {
          "@type": "Distribution",
          "title": "Cyclospora Surveillance",
          "description": "Access point for Cyclospora Surveillance.",
          "accessURL": "https://www.cdc.gov/cyclosporiasis/php/surveillance/index.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "histogram-species",
          "description": "CDC data visualization titled histogram-species. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/cyclosporiasis/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/parasites/malaria/modules/malaria_surveillance/histogram-species.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-07-24"
        },
        {
          "@type": "Distribution",
          "title": "Map - Cyclosporiasis Outbreak, July 2026",
          "description": "CDC data visualization titled Map - Cyclosporiasis Outbreak, July 2026. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/cyclosporiasis/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/cyclosporiasis/outbreaks/07-26/modules/map-cyclosporiasis-july-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-27"
        },
        {
          "@type": "Distribution",
          "title": "Number of malaria cases among U.S. military personnel, U.S. civilians, and non-U.S. residents — United States, 1972–2022.",
          "description": "CDC data visualization titled Number of malaria cases among U.S. military personnel, U.S. civilians, and non-U.S. residents — United States, 1972–2022. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/cyclosporiasis/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/parasites/malaria/modules/malaria_surveillance/cases_1970_2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-05-06"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/cyclosporiasis/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/cyclosporiasis/modules/outbreak-map_10_26_23.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-28"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Cyclosporiasis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/cyclosporiasis/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/parasites/cyclosporiasis/outbreaks/2023/modules/outbreak-map_10_26_23.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-01"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Listeria Outbreak, June 2026",
          "description": "CDC data visualization titled Timeline - Listeria Outbreak, June 2026. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/cyclosporiasis/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/cyclosporiasis/outbreaks/07-26/modules/timeline-listeria-june-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-23"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/dengue/data-research/facts-stats/index.html",
      "title": "Dengue Data and Maps",
      "description": "Current and historic U.S. dengue data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Dengue Program",
          "hasEmail": "mailto:dengue@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Dengue"
        }
      ],
      "keyword": [
        "Dengue",
        "Interactive data family",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/dengue/data-research/facts-stats/index.html",
        "title": "Dengue Data and Maps"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Current Data",
          "description": "CDC data visualization titled Current Data related to Dengue Fever (DF). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/dengue/data-research/facts-stats/index.html",
          "downloadURL": "https://www.cdc.gov/dengue/statistics-maps/final-pages/data-visuals/current-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-04-04"
        },
        {
          "@type": "Distribution",
          "title": "Current Year Tabs",
          "description": "CDC data visualization titled Current Year Tabs related to Dengue Fever (DF). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/dengue/data-research/facts-stats/index.html",
          "downloadURL": "https://www.cdc.gov/dengue/statistics-maps/final-pages/data-visuals/current-year-tabs.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-27"
        },
        {
          "@type": "Distribution",
          "title": "Current Year Tabs",
          "description": "CDC data visualization titled Current Year Tabs related to Dengue Fever (DF). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/dengue/data-research/facts-stats/index.html",
          "downloadURL": "https://www.cdc.gov/dengue/statistics-maps/final-pages/data-visuals/current-year-tabs-updated.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-02-26"
        },
        {
          "@type": "Distribution",
          "title": "Dengue Data and Maps",
          "description": "Current and historic U.S. dengue data.",
          "accessURL": "https://www.cdc.gov/dengue/data-research/facts-stats/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Dengue Data and Maps application",
          "description": "Current and historic U.S. dengue data.",
          "accessURL": "https://www.cdc.gov/dengue/data-research/facts-stats/current-data.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Dengue Data and Maps related resource",
          "description": "Current and historic U.S. dengue data.",
          "accessURL": "https://www.cdc.gov/dengue/data-research/facts-stats/historic-data.html",
          "format": "Web resource"
        },
        {
          "@type": "Distribution",
          "title": "Epi Curve Local",
          "description": "CDC data visualization titled Epi Curve Local related to Dengue Fever (DF). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/dengue/data-research/facts-stats/index.html",
          "downloadURL": "https://www.cdc.gov/dengue/statistics-maps/final-pages/data-visuals/epi-curve-local.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-02-26"
        },
        {
          "@type": "Distribution",
          "title": "Epi Curve Local",
          "description": "CDC data visualization titled Epi Curve Local related to Dengue Fever (DF). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/dengue/data-research/facts-stats/index.html",
          "downloadURL": "https://www.cdc.gov/dengue/statistics-maps/final-pages/data-visuals/epi-curve-local-tabs.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-18"
        },
        {
          "@type": "Distribution",
          "title": "Epi Curve Travel",
          "description": "CDC data visualization titled Epi Curve Travel related to Dengue Fever (DF). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/dengue/data-research/facts-stats/index.html",
          "downloadURL": "https://www.cdc.gov/dengue/statistics-maps/final-pages/data-visuals/epi-curve-travel.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-02-26"
        },
        {
          "@type": "Distribution",
          "title": "Epi Curve Travel",
          "description": "CDC data visualization titled Epi Curve Travel related to Dengue Fever (DF). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/dengue/data-research/facts-stats/index.html",
          "downloadURL": "https://www.cdc.gov/dengue/statistics-maps/final-pages/data-visuals/epi-curve-travel-tabs.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-18"
        },
        {
          "@type": "Distribution",
          "title": "Historic Data",
          "description": "CDC data visualization titled Historic Data related to Dengue Fever (DF). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/dengue/data-research/facts-stats/index.html",
          "downloadURL": "https://www.cdc.gov/dengue/statistics-maps/final-pages/data-visuals/historic-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-12"
        },
        {
          "@type": "Distribution",
          "title": "Historic Data Tabs",
          "description": "CDC data visualization titled Historic Data Tabs related to Dengue Fever (DF). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/dengue/data-research/facts-stats/index.html",
          "downloadURL": "https://www.cdc.gov/dengue/statistics-maps/final-pages/data-visuals/historic-data-tabs.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-02-26"
        },
        {
          "@type": "Distribution",
          "title": "Historic Years Tab",
          "description": "CDC data visualization titled Historic Years Tab related to Dengue Fever (DF). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/dengue/data-research/facts-stats/index.html",
          "downloadURL": "https://www.cdc.gov/dengue/statistics-maps/final-pages/data-visuals/historic-years-tabs.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-27"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/dialysis-safety/media/pdfs/bsi-nhsn-2014to2019-508.pdf",
      "title": "Surveillance Summary of Bloodstream Infections (BSI) in Outpatient Hemodialysis Facilities — National Healthcare Safety Network, 2014–2019",
      "description": "The Centers for Disease Control and Prevention (CDC) has conducted surveillance for bloodstream infections (BSIs) and related events among patients receiving hemodialysis since 1999, most recently through the National Healthcare Safety Network (NHSN) (8,9). Data reported to NHSN, including BSI events and patient-months, have been used by the Centers for Medicare and Medicaid Services (CMS) as part of the ESRD Quality Incentive Program (QIP) since 2012 and as such, there is near universal reporting to NHSN from dialysis facilities across the nation. The text and figures that follow constitute a high-level summary of data reported to the NHSN reflecting several years of national progress toward reduction of BSIs in outpatient hemodialysis facilities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance Branch, DHQP",
          "hasEmail": "mailto:nhsn@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Healthcare Quality Promotion (DHQP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Dialysis"
        }
      ],
      "keyword": [
        "Dialysis events"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/dpdx/index.html",
      "title": "DPDx - Laboratory Identification of Parasitic Diseases",
      "description": "A-Z parasite index, images, procedures, case studies and diagnostic assistance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Laboratory Science and Diagnostics Branch/",
          "hasEmail": "mailto:nciddpddpdx@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Parasitic Diseases and Malaria (DPDM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Parasitic disease diagnostics"
        }
      ],
      "keyword": [
        "Parasitic disease diagnostics",
        "Diagnostic reference platform",
        "DPDM"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/dpdx/index.html",
        "title": "DPDx - Laboratory Identification of Parasitic Diseases"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "DPDx - Laboratory Identification of Parasitic Diseases",
          "description": "A-Z parasite index, images, procedures, case studies and diagnostic assistance.",
          "accessURL": "https://www.cdc.gov/dpdx/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "DPDx - Laboratory Identification of Parasitic Diseases related resource",
          "description": "A-Z parasite index, images, procedures, case studies and diagnostic assistance.",
          "accessURL": "https://www.cdc.gov/dpdx/az.html",
          "format": "Web resource"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/drinking-water/data-research/facts-stats/index.html",
      "title": "Drinking Water Facts and Statistics",
      "description": "Cites CDC's estimate that ~1.1 million people/year get sick from drinking-water germs in the US (~1 in 300), with Legionella the top cause of tap-water outbreaks. Lists top-5 causes of outbreaks (2010-2022) separately for public/community water (Legionella, Campylobacter, Giardia, norovirus, Pseudomonas) and private water (Legionella, norovirus, E. coli, Cryptosporidium, Giardia).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Drinking water"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/index.html",
      "title": "Eastern equine encephalitis Data and Maps",
      "description": "Current and historic ArboNET data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ArboNET Surveillance Team",
          "hasEmail": "mailto:dvbid2@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Eastern equine encephalitis"
        }
      ],
      "keyword": [
        "Eastern equine encephalitis",
        "Interactive data family",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/index.html",
        "title": "Eastern equine encephalitis Data and Maps"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CT 2022",
          "description": "CDC data visualization titled CT 2022. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/ct-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-11"
        },
        {
          "@type": "Distribution",
          "title": "Cumulative Data",
          "description": "CDC data visualization titled Cumulative Data related to Eastern Equine Encephalitis (EEE). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/cumulative-data_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Current Data",
          "description": "CDC data visualization titled Current Data related to Eastern Equine Encephalitis (EEE). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/current-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-02"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite Neuroinvasive Cases",
          "description": "CDC data visualization titled Data Bite Neuroinvasive Cases related to Eastern Equine Encephalitis (EEE). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/data-bite-neuroinvasive-caseso.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-07"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite States Reporting Cases",
          "description": "CDC data visualization titled Data Bite States Reporting Cases related to Eastern Equine Encephalitis (EEE). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/data-bite-states-reporting-cases.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-07"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite Total Human Cases",
          "description": "CDC data visualization titled Data Bite Total Human Cases related to Eastern Equine Encephalitis (EEE). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/data-bite-total-cases.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-07"
        },
        {
          "@type": "Distribution",
          "title": "Eastern equine encephalitis Data and Maps",
          "description": "Current and historic ArboNET data.",
          "accessURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Eastern equine encephalitis Data and Maps application",
          "description": "Current and historic ArboNET data.",
          "accessURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/current-year-data.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Eastern equine encephalitis Data and Maps related resource",
          "description": "Current and historic ArboNET data.",
          "accessURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/historic-data.html",
          "format": "Web resource"
        },
        {
          "@type": "Distribution",
          "title": "Explore County Data",
          "description": "CDC data visualization titled Explore County Data. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/explore-county-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Explore County Data",
          "description": "CDC data visualization titled Explore County Data. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/visuals-2025/explore-county-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-12"
        },
        {
          "@type": "Distribution",
          "title": "Explore Human Data",
          "description": "CDC data visualization titled Explore Human Data related to Eastern Equine Encephalitis (EEE). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/explore-human-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Explore Non-Human Data",
          "description": "CDC data visualization titled Explore Non-Human Data related to Eastern Equine Encephalitis (EEE). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/explore-nonhuman-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-26"
        },
        {
          "@type": "Distribution",
          "title": "Historic Last Updated",
          "description": "CDC data visualization titled Historic Last Updated. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/eastern-equine-encephalitis/data-maps/visuals-2025/historic-last-updated.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-03"
        }
      ],
      "inventoried": "2026-09-27"
    },
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      "identifier": "https://www.cdc.gov/ebola/outbreaks/index.html",
      "title": "Ebola Outbreak History",
      "description": "Historical data on Ebola outbreaks",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
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      ],
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        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
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            "name": "Centers for Disease Control and Prevention (CDC)",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Viral hemorrhagic fevers"
        }
      ],
      "keyword": [
        "Ebola"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/ebola/situation-summary/index.html",
      "title": "Ebola Current Situation",
      "description": "Public CDC situation summary providing data or related information for Ebola.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
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        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
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            "name": "Centers for Disease Control and Prevention (CDC)",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Ebola"
        }
      ],
      "keyword": [
        "Ebola",
        "Situation summary",
        "DHCPP"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/ebola/situation-summary/index.html",
        "title": "Ebola Current Situation"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Case Counts",
          "description": "CDC data visualization titled Case Counts. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ebola/situation-summary/index.html",
          "downloadURL": "https://www.cdc.gov/ebola/es/modules/case-counts.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-21"
        },
        {
          "@type": "Distribution",
          "title": "Case Counts",
          "description": "CDC data visualization titled Case Counts. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ebola/situation-summary/index.html",
          "downloadURL": "https://www.cdc.gov/ebola/situation-summary/modules/case-counts.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-16"
        },
        {
          "@type": "Distribution",
          "title": "Ebola Current Situation",
          "description": "Access point for Ebola Current Situation.",
          "accessURL": "https://www.cdc.gov/ebola/situation-summary/index.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "Ebola Outbreak History",
          "description": "Access point for Ebola Outbreak History.",
          "accessURL": "https://www.cdc.gov/ebola/outbreaks/index.html",
          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/ehrlichiosis/data-research/facts-stats/index.html",
      "title": "Ehrlichiosis Epidemiology and Statistics",
      "description": "Public CDC interactive dashboard providing data or related information for Ehrlichiosis. Source inventory cadence or coverage note: Through 2023.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Rickettsial Zoonoses Branch",
          "hasEmail": "mailto:rzbepidiag@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
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            "name": "Centers for Disease Control and Prevention (CDC)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Ehrlichiosis"
        }
      ],
      "keyword": [
        "Ehrlichiosis",
        "Interactive dashboard",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/ehrlichiosis/data-research/facts-stats/index.html",
        "title": "Ehrlichiosis Epidemiology and Statistics"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Ehrlichiosis Epidemiology and Statistics",
          "description": "Access point for Ehrlichiosis Epidemiology and Statistics.",
          "accessURL": "https://www.cdc.gov/ehrlichiosis/data-research/facts-stats/index.html",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/emerging-infections-program/php/network-activities/index.html",
      "title": "Emerging Infections Program Activities",
      "description": "EIP outputs are often presented by other CDC centers.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DIDRI",
          "hasEmail": "mailto:publicdidri@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Infectious Disease Readiness and Innovation (DIDRI)",
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            "name": "Centers for Disease Control and Prevention (CDC)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Emerging Infections Program"
        }
      ],
      "keyword": [
        "Emerging Infections Program",
        "Program / data index",
        "DIDRI"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/emerging-infections-program/php/network-activities/index.html",
        "title": "Emerging Infections Program Activities"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "EIP States",
          "description": "CDC data visualization titled EIP States. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/emerging-infections-program/php/network-activities/index.html",
          "downloadURL": "https://www.cdc.gov/emerging-infections-program/php/eip-sites/modules/eip-states.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-10"
        },
        {
          "@type": "Distribution",
          "title": "Emerging Infections Program Activities",
          "description": "EIP outputs are often presented by other CDC centers.",
          "accessURL": "https://www.cdc.gov/emerging-infections-program/php/network-activities/index.html",
          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/epidemiology-laboratory-capacity/php/funding/index.html",
      "title": "ELC Funding Map",
      "description": "Public CDC interactive funding map providing data or related information for Epidemiology and Laboratory Capacity.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DIDRI",
          "hasEmail": "mailto:publicdidri@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Infectious Disease Readiness and Innovation (DIDRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Epidemiology and Laboratory Capacity"
        }
      ],
      "keyword": [
        "Epidemiology and Laboratory Capacity",
        "Interactive funding map",
        "DIDRI"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/epidemiology-laboratory-capacity/php/funding/index.html",
        "title": "ELC Funding Map"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "ELC Funding Map",
          "description": "Access point for ELC Funding Map.",
          "accessURL": "https://www.cdc.gov/epidemiology-laboratory-capacity/php/funding/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Programs and projects",
          "description": "CDC data visualization titled Programs and projects related to National Center for Emerging and Zoonotic Infectious Diseases (NCEZID). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/epidemiology-laboratory-capacity/php/funding/index.html",
          "downloadURL": "https://www.cdc.gov/epidemiology-laboratory-capacity/php/module/programs-and-projects.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-11"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/fluview/overview/influenza-hospitalization-surveillance.html",
      "title": "FluSurv-NET ,  FluView Hospitalization Surveillance",
      "description": "Public CDC platform ,  dashboard providing data or related information for Respiratory hospitalization surveillance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC Info",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), National Center for Immunization and Respiratory Diseases (NCIRD), Division of Infectious Disease Readiness and Innovation (DIDRI), Influenza Division (ID)",
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            "name": "Centers for Disease Control and Prevention (CDC)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Influenza hospitalizations"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/food-safety/data-research/facts-stats/index.html",
      "title": "Food Poisoning Facts and Statistics",
      "description": "Facts About Food Poisoning: quick-stats page citing CDC's overall estimate of 48 million annual US foodborne illnesses (128,000 hospitalizations, 3,000 deaths), plus top-5 germ rankings for illnesses, hospitalizations, and deaths (norovirus, Campylobacter, Salmonella, C. perfringens, STEC/Listeria).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Foodborne disease burden"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/food-safety/php/data-research/foodborne-illness-burden/index.html",
      "title": "Foodborne Illness Burden Estimates",
      "description": "Public CDC data / statistics page providing data or related information for Foodborne disease burden.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
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            "subOrganizationOf": [
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Foodborne disease burden"
        }
      ],
      "keyword": [
        "Foodborne disease burden",
        "Data / statistics page",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/food-safety/php/data-research/foodborne-illness-burden/index.html",
        "title": "Foodborne Illness Burden Estimates"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Food Poisoning Facts and Statistics",
          "description": "Access point for Food Poisoning Facts and Statistics.",
          "accessURL": "https://www.cdc.gov/food-safety/data-research/facts-stats/index.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "Foodborne Illness Burden Estimates",
          "description": "Access point for Foodborne Illness Burden Estimates.",
          "accessURL": "https://www.cdc.gov/food-safety/php/data-research/foodborne-illness-burden/index.html",
          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/foodnet/data/index.html",
      "title": "FoodNet Data and FoodNet Fast",
      "description": "FoodNet Fast umbrella and data landing page; FoodNet covers its surveillance catchment, not the full U.S. Source inventory cadence or coverage note: Annual and periodic updates.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
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      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Reference Antimicrobial Susceptibility Testing Data",
          "description": "Access point for Reference Antimicrobial Susceptibility Testing Data.",
          "accessURL": "https://www.cdc.gov/healthcare-associated-infections/php/lab-resources/reference-ast-data.html",
          "format": "Downloadable analytical tool"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/healthy-water-data/about/index.html",
      "title": "Waterborne Disease Surveillance Hub",
      "description": "Public CDC program / data hub providing data or related information for Waterborne disease.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
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        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Waterborne disease"
        }
      ],
      "keyword": [
        "Waterborne disease",
        "Program / data hub",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
        "title": "Waterborne Disease Surveillance Hub"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2019 Giardia Figure 1",
          "description": "CDC data visualization titled 2019 Giardia Figure 1. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/figure_1_bar_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-27"
        },
        {
          "@type": "Distribution",
          "title": "2019 Giardia Figure 2",
          "description": "CDC data visualization titled 2019 Giardia Figure 2 related to Giardiasis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/figure_2_map_new1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-20"
        },
        {
          "@type": "Distribution",
          "title": "2019 Giardia Figure 3",
          "description": "CDC data visualization titled 2019 Giardia Figure 3 related to Giardiasis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2019-giardia-figure-3.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-04"
        },
        {
          "@type": "Distribution",
          "title": "2019 Giardia Figure 4",
          "description": "CDC data visualization titled 2019 Giardia Figure 4 related to Giardiasis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2019-giardia-figure-4.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-20"
        },
        {
          "@type": "Distribution",
          "title": "2019 Giardia Figure 5",
          "description": "CDC data visualization titled 2019 Giardia Figure 5 related to Giardiasis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/Figure_5_bar2.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-27"
        },
        {
          "@type": "Distribution",
          "title": "2019 Giardia Supplementary Figure 1",
          "description": "CDC data visualization titled 2019 Giardia Supplementary Figure 1 related to Giardiasis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/supplementary_figure1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-20"
        },
        {
          "@type": "Distribution",
          "title": "Crypto Figure 2 2019",
          "description": "CDC data visualization titled Crypto Figure 2 2019. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/cryptosporidium/media/visualizations/crypto-figure-2-2019.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-13"
        },
        {
          "@type": "Distribution",
          "title": "Crypto Figure 2 2019",
          "description": "CDC data visualization titled Crypto Figure 2 2019 related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/crypto-figure-2-2019.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-01"
        },
        {
          "@type": "Distribution",
          "title": "Crypto Figure 2 2020",
          "description": "CDC data visualization titled Crypto Figure 2 2020. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2020/crypto-figure-2-2020.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-28"
        },
        {
          "@type": "Distribution",
          "title": "Crypto Figure 2 2021",
          "description": "CDC data visualization titled Crypto Figure 2 2021. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2021/crypto-figure-2-2021.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-28"
        },
        {
          "@type": "Distribution",
          "title": "Crypto Figure 2 2022",
          "description": "CDC data visualization titled Crypto Figure 2 2022. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto-figure-2-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-13"
        },
        {
          "@type": "Distribution",
          "title": "Drinking Water Facts and Statistics",
          "description": "Access point for Drinking Water Facts and Statistics.",
          "accessURL": "https://www.cdc.gov/drinking-water/data-research/facts-stats/index.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "Figure 1 Crypto 2018",
          "description": "CDC data visualization titled Figure 1 Crypto 2018. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/cryptosporidium/media/visualizations/figure-1-crypto-2018.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-13"
        },
        {
          "@type": "Distribution",
          "title": "Figure 1 Crypto 2018",
          "description": "CDC data visualization titled Figure 1 Crypto 2018 related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/figure-1-crypto-2018.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-06"
        },
        {
          "@type": "Distribution",
          "title": "Figure 1 Crypto 2019",
          "description": "CDC data visualization titled Figure 1 Crypto 2019 related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/cryptosporidium/media/visualizations/figure-1-crypto-2019.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-13"
        },
        {
          "@type": "Distribution",
          "title": "Figure 1 Crypto 2019",
          "description": "CDC data visualization titled Figure 1 Crypto 2019 related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/figure-1-crypto-2019.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-01"
        },
        {
          "@type": "Distribution",
          "title": "Figure 1 Gardia",
          "description": "CDC data visualization titled Figure 1 Gardia related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/2020/figure-1-gardia-2020.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-22"
        },
        {
          "@type": "Distribution",
          "title": "Figure 1 Supplemental Crypto 2019",
          "description": "CDC data visualization titled Figure 1 Supplemental Crypto 2019. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/cryptosporidium/media/visualizations/figure-1-supp-crypto-2019.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-13"
        },
        {
          "@type": "Distribution",
          "title": "Figure 1 Supplemental Crypto 2019",
          "description": "CDC data visualization titled Figure 1 Supplemental Crypto 2019 related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/figure-1-supp-crypto-2019.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-01"
        },
        {
          "@type": "Distribution",
          "title": "Figure 2 Crypto 2018",
          "description": "CDC data visualization titled Figure 2 Crypto 2018. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/cryptosporidium/media/visualizations/figure-2-crypto-2018.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-13"
        },
        {
          "@type": "Distribution",
          "title": "Figure 2 Crypto 2018",
          "description": "CDC data visualization titled Figure 2 Crypto 2018 related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/figure-2-crypto-2018.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-05"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3 Crypto 2018",
          "description": "CDC data visualization titled Figure 3 Crypto 2018. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/cryptosporidium/media/visualizations/figure-3-crypto-2018.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-13"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3 Crypto 2018",
          "description": "CDC data visualization titled Figure 3 Crypto 2018 related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/figure-3-crypto-2018.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-07"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3 Crypto 2019",
          "description": "CDC data visualization titled Figure 3 Crypto 2019 related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/cryptosporidium/media/visualizations/figure-3-crypto-2019.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-13"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3 Crypto 2019",
          "description": "CDC data visualization titled Figure 3 Crypto 2019 related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/figure-3-crypto-2019.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-21"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3 Crypto 2020",
          "description": "CDC data visualization titled Figure 3 Crypto 2020 related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2020/figure-3-crypto-2020.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3 Crypto 2021",
          "description": "CDC data visualization titled Figure 3 Crypto 2021 related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2021/figure-3-crypto-2021.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3 Crypto 2022",
          "description": "CDC data visualization titled Figure 3 Crypto 2022 related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/figure-3-crypto-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-09"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 crypto 2018 new",
          "description": "CDC data visualization titled Figure 4 crypto 2018 new. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/cryptosporidium/media/visualizations/figure-4-crypto-2018-new.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-13"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 crypto 2018 new",
          "description": "CDC data visualization titled Figure 4 crypto 2018 new related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/figure-4-crypto-2018-new.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-22"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2019",
          "description": "CDC data visualization titled Figure 4 Crypto 2019. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/cryptosporidium/media/visualizations/figure-4-crypto-2019.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-13"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2019",
          "description": "CDC data visualization titled Figure 4 Crypto 2019 related to C. gattii cryptococcosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/figure-4-crypto-2019.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-01-14"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2020 Midwest",
          "description": "CDC data visualization titled Figure 4 Crypto 2020 Midwest related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2020/figure-4-crypto-2020-midwest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2020 Northeast",
          "description": "CDC data visualization titled Figure 4 Crypto 2020 Northeast related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2020/figure-4-crypto-2020-northeast.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2020 Northwest",
          "description": "CDC data visualization titled Figure 4 Crypto 2020 Northwest related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2020/figure-4-crypto-2020-northwest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2020 South",
          "description": "CDC data visualization titled Figure 4 Crypto 2020 South related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2020/figure-4-crypto-2020-south.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2020 Southwest",
          "description": "CDC data visualization titled Figure 4 Crypto 2020 Southwest related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2020/figure-4-crypto-2020-southwest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2020 Territorials",
          "description": "CDC data visualization titled Figure 4 Crypto 2020 Territorials related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2020/figure-4-crypto-2020-territorials.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2021 Midwest",
          "description": "CDC data visualization titled Figure 4 Crypto 2021 Midwest related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2021/figure-4-crypto-2021-midwest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2021 Northeast",
          "description": "CDC data visualization titled Figure 4 Crypto 2021 Northeast related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2021/figure-4-crypto-2021-northeast.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2021 Northwest",
          "description": "CDC data visualization titled Figure 4 Crypto 2021 Northwest related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2021/figure-4-crypto-2021-northwest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2021 South",
          "description": "CDC data visualization titled Figure 4 Crypto 2021 South related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2021/figure-4-crypto-2021-south.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2021 Southwest",
          "description": "CDC data visualization titled Figure 4 Crypto 2021 Southwest related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2021/figure-4-crypto-2021-southwest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2021 Territorials",
          "description": "CDC data visualization titled Figure 4 Crypto 2021 Territorials related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2021/figure-4-crypto-2021-territorials.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2022 Midwest",
          "description": "CDC data visualization titled Figure 4 Crypto 2022 Midwest related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/figure-4-crypto-2022-midwest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-09"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2022 Northeast",
          "description": "CDC data visualization titled Figure 4 Crypto 2022 Northeast related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/figure-4-crypto-2022-northeast.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-09"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2022 South",
          "description": "CDC data visualization titled Figure 4 Crypto 2022 South related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/figure-4-crypto-2022-south.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-09"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2022 Southwest",
          "description": "CDC data visualization titled Figure 4 Crypto 2022 Southwest related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/figure-4-crypto-2022-southwest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-09"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Crypto 2022 Territorials",
          "description": "CDC data visualization titled Figure 4 Crypto 2022 Territorials related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/figure-4-crypto-2022-territorials.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-09"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis 2020 Midwest",
          "description": "CDC data visualization titled Figure 4 Giardiasis 2020 Midwest related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/2020/figure-4-Giardiasis-2020-midwest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-23"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis 2020 Northeast",
          "description": "CDC data visualization titled Figure 4 Giardiasis 2020 Northeast related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/2020/figure-4-giardiasis-2020-northeast.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-23"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis 2020 Northwest",
          "description": "CDC data visualization titled Figure 4 Giardiasis 2020 Northwest related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/2020/figure-4-Giardiasis-2020-northwest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-23"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis 2020 South",
          "description": "CDC data visualization titled Figure 4 Giardiasis 2020 South related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/2020/figure-4-giardiasis-2020-south.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-23"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis 2020 Southwest",
          "description": "CDC data visualization titled Figure 4 Giardiasis 2020 Southwest related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/2020/figure-4-giardiasis-2020-southwest-final.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-23"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis 2020 Territorials",
          "description": "CDC data visualization titled Figure 4 Giardiasis 2020 Territorials related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/2020/figure-4-giardiasis-2020-territorials.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-23"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis 2021 Midwest",
          "description": "CDC data visualization titled Figure 4 Giardiasis 2021 Midwest related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/2021/figure-4-Giardiasis-2021-midwest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-08"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis 2021 Northwest",
          "description": "CDC data visualization titled Figure 4 Giardiasis 2021 Northwest related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/2021/figure-4-Giardiasis-2021-northwest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-08"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis 2021 South",
          "description": "CDC data visualization titled Figure 4 Giardiasis 2021 South related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/2021/figure-4-giardiasis-2021-south.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-08"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis 2021 Southwest",
          "description": "CDC data visualization titled Figure 4 Giardiasis 2021 Southwest related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/2021/figure-4-giardiasis-2021-southwest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-08"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis 2021 Territorials",
          "description": "CDC data visualization titled Figure 4 Giardiasis 2021 Territorials related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/2021/figure-4-giardiasis-2021-territorials.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-08"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis 2022 Midwest",
          "description": "CDC data visualization titled Figure 4 Giardiasis 2022 Midwest related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/figure-4-Giardiasis-2022-midwest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-15"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis 2022 Northwest",
          "description": "CDC data visualization titled Figure 4 Giardiasis 2022 Northwest related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/figure-4-Giardiasis-2022-northwest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-15"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis 2022 South",
          "description": "CDC data visualization titled Figure 4 Giardiasis 2022 South related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/figure-4-giardiasis-2022-south.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-15"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis 2022 Southwest",
          "description": "CDC data visualization titled Figure 4 Giardiasis 2022 Southwest related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/figure-4-giardiasis-2022-southwest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-15"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis 2022 Territorials",
          "description": "CDC data visualization titled Figure 4 Giardiasis 2022 Territorials related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/figure-4-giardiasis-2022-territorials.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-15"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis/ 2021 Northeast",
          "description": "CDC data visualization titled Figure 4 Giardiasis/ 2021 Northeast related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/2021/figure-4-giardiasis-2021-northeast.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-08"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 Giardiasis/ 2022 Northeast",
          "description": "CDC data visualization titled Figure 4 Giardiasis/ 2022 Northeast related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/figure-4-giardiasis-2022-northeast.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-15"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5 Crypto 2018",
          "description": "CDC data visualization titled Figure 5 Crypto 2018. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/cryptosporidium/media/visualizations/figure-5-crypto-2018.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-13"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5 Crypto 2018",
          "description": "CDC data visualization titled Figure 5 Crypto 2018 related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/figure-5-crypto-2018.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-07"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5 Crypto 2019",
          "description": "CDC data visualization titled Figure 5 Crypto 2019. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/cryptosporidium/media/visualizations/figure-5-crypto-2019.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-13"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5 Crypto 2019",
          "description": "CDC data visualization titled Figure 5 Crypto 2019 related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/figure-5-crypto-2019.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-05"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5 Crypto 2020",
          "description": "CDC data visualization titled Figure 5 Crypto 2020. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2020/figure-5-crypto-2020.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5 Crypto 2021",
          "description": "CDC data visualization titled Figure 5 Crypto 2021. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2021/figure-5-crypto-2021.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5 Crypto 2022",
          "description": "CDC data visualization titled Figure 5 Crypto 2022. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/figure-5-crypto-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-09"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5 Giardiasis 2020",
          "description": "CDC data visualization titled Figure 5 Giardiasis 2020. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/2020/figure-5-giardiasis-2020.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-11"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5 Giardiasis 2021",
          "description": "CDC data visualization titled Figure 5 Giardiasis 2021. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/2021/figure-5-giardiasis-2021.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-08"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5 Giardiasis 2022",
          "description": "CDC data visualization titled Figure 5 Giardiasis 2022. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/figure-5-giardiasis-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-01"
        },
        {
          "@type": "Distribution",
          "title": "Figure 6 Crypto 2020",
          "description": "CDC data visualization titled Figure 6 Crypto 2020. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2020/figure-6-crypto-2020.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 6 Crypto 2021",
          "description": "CDC data visualization titled Figure 6 Crypto 2021. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2021/figure-6-crypto-2021.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-28"
        },
        {
          "@type": "Distribution",
          "title": "Figure 6 Crypto 2022",
          "description": "CDC data visualization titled Figure 6 Crypto 2022. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/figure-6-crypto-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-09"
        },
        {
          "@type": "Distribution",
          "title": "Figure 6 Giardiasis 2020",
          "description": "CDC data visualization titled Figure 6 Giardiasis 2020. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/2020/figure-6-giardiasis-2020.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-11"
        },
        {
          "@type": "Distribution",
          "title": "Figure 6 Giardiasis 2022",
          "description": "CDC data visualization titled Figure 6 Giardiasis 2022. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/2021/figure-6-giardiasis-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-08"
        },
        {
          "@type": "Distribution",
          "title": "Figure 6 Giardiasis 2022",
          "description": "CDC data visualization titled Figure 6 Giardiasis 2022. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/giardiasis/figure-6-giardiasis-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-15"
        },
        {
          "@type": "Distribution",
          "title": "Incidence of cryptosporidiosis cases, by year and case classification – National Notifiable Diseases Surveillance System, United States, 2012–2020",
          "description": "CDC data visualization titled Incidence of cryptosporidiosis cases, by year and case classification – National Notifiable Diseases Surveillance System, United States, 2012–2020 related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2020/figure-1-crypto-2020.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-28"
        },
        {
          "@type": "Distribution",
          "title": "Incidence of cryptosporidiosis cases, by year and case classification – National Notifiable Diseases Surveillance System, United States, 2012–2021",
          "description": "CDC data visualization titled Incidence of cryptosporidiosis cases, by year and case classification – National Notifiable Diseases Surveillance System, United States, 2012–2021 related to Cryptosporidiosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/healthy-water-data/about/index.html",
          "downloadURL": "https://www.cdc.gov/healthy-water-data/media/visualizations/2025/crypto/2021/figure-1-crypto-2021.json",
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            ]
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        ]
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        {
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        },
        {
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        },
        {
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        },
        {
          "@type": "Distribution",
          "title": "Macaca fascicularis Importation by Country of Origin, 2013–2023",
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          "accessURL": "https://www.cdc.gov/importation/bringing-an-animal-into-the-us/nonhuman-primate.html",
          "downloadURL": "https://www.cdc.gov/importation/bringing-an-animal-into-the-united-states/modules/macaca-fascicularis-country-origin.json",
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          "mediaType": "application/json",
          "modified": "2026-01-21"
        },
        {
          "@type": "Distribution",
          "title": "Macaca mulatta Importation by Country of Origin, 2013–2023",
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          "accessURL": "https://www.cdc.gov/importation/bringing-an-animal-into-the-us/nonhuman-primate.html",
          "downloadURL": "https://www.cdc.gov/importation/bringing-an-animal-into-the-united-states/modules/macaca-mulatta-importation-by-country-of-origin-2013-2022.json",
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          "mediaType": "application/json",
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        },
        {
          "@type": "Distribution",
          "title": "Number of CDC-Registered NHP Importers, 2013–2023",
          "description": "CDC data visualization titled Number of CDC-Registered NHP Importers, 2013–2023 related to Animal Products, Importing. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/importation/bringing-an-animal-into-the-us/nonhuman-primate.html",
          "downloadURL": "https://www.cdc.gov/importation/bringing-an-animal-into-the-united-states/modules/number-of-cdc-registered-nhp-importers-2013-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-01-21"
        },
        {
          "@type": "Distribution",
          "title": "Number of NHP Imported into the US (All Species), 2013–2023",
          "description": "CDC data visualization titled Number of NHP Imported into the US (All Species), 2013–2023 related to Animal Products, Importing. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/importation/bringing-an-animal-into-the-us/nonhuman-primate.html",
          "downloadURL": "https://www.cdc.gov/importation/bringing-an-animal-into-the-united-states/modules/nhp-w-trend.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-01-21"
        },
        {
          "@type": "Distribution",
          "title": "Other* NHP Species Importation by Country of Origin, 2013–2023",
          "description": "CDC data visualization titled Other* NHP Species Importation by Country of Origin, 2013–2023 related to Animal Products, Importing. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/importation/bringing-an-animal-into-the-us/nonhuman-primate.html",
          "downloadURL": "https://www.cdc.gov/importation/bringing-an-animal-into-the-united-states/modules/other-nhp-species-importation-by-country-of-origin-2013-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-01-21"
        },
        {
          "@type": "Distribution",
          "title": "Saimiri spp. Importation by Country of Origin, 2013–2023",
          "description": "CDC data visualization titled Saimiri spp. Importation by Country of Origin, 2013–2023 related to Animal Products, Importing. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/importation/bringing-an-animal-into-the-us/nonhuman-primate.html",
          "downloadURL": "https://www.cdc.gov/importation/bringing-an-animal-into-the-united-states/modules/saimiri-spp-importation-by-country-of-origin-2013-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-01-21"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/infrastructure-phig/php/funding-profiles/",
      "title": "Public Health Infrastructure Grant (PHIG) Recipient Funding Data",
      "description": "Funding data for recipients of the Public Health Infrastructure Grant (PHIG). The dataset includes cooperative agreement award amounts, funding allocations by grant strategy (e.g., workforce, foundational capabilities, and data modernization), recipient information, and funding period details for state, territorial, freely associated state, city, and county health departments participating in the PHIG program.",
      "contactPoint": [
        {
          "@type": "Kind",
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "Public Health Infrastructure Center (PHIC), Division of Jurisdictional Support (DJS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-12-01",
      "theme": [
        {
          "@type": "Concept",
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        "PHIG",
        "grants",
        "funding",
        "workforce",
        "data modernization",
        "foundational capabilities"
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      "spatial": [
        {
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          "prefLabel": "United States"
        },
        {
          "@type": "Location",
          "prefLabel": "territories"
        },
        {
          "@type": "Location",
          "prefLabel": "and freely associated states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/infrastructure-phig/php/funding-profiles/state-and-territories.html",
        "title": "PHIG Funding Profiles"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention"
        }
      ],
      "rights": [
        "Publicly available"
      ],
      "creator": {
        "@type": "Agent",
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      },
      "status": "active",
      "accrualPeriodicity": "annual",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/infrastructure-phig/index.html",
        "title": "Public Health Infrastructure Grant"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PHIG Funding Profiles: States & Territories",
          "description": "Interactive webpage displaying recipient funding profiles for state, territorial, and freely associated state by PHIG recipients and funding year (2023, 2024, 2025, 2026 and Total Funding)",
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          "format": "HTML",
          "mediaType": "text/html",
          "rights": [
            "Public"
          ],
          "modified": "2025-12-02",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.cdc.gov/infrastructure-phig/php/funding-profiles/",
            "title": "Public Health Infrastructure Grant (PHIG) Funding Profiles"
          },
          "accessRestriction": [
            {
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              "restrictionStatus": "unrestricted",
              "restrictionNote": "Publicly available dataset"
            }
          ]
        },
        {
          "@type": "Distribution",
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          "format": "HTML",
          "mediaType": "text/html",
          "rights": [
            "Public"
          ],
          "modified": "2025-12-02",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.cdc.gov/infrastructure-phig/php/funding-profiles/",
            "title": "Public Health Infrastructure Grant (PHIG) Funding Profiles"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted",
              "restrictionNote": "Publicly available dataset"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "PHIG Funding Profiles: Cities",
          "description": "Interactive webpage displaying recipient funding profiles for city by PHIG recipients and funding year (2023, 2024, 2025, 2026 and Total Funding)",
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          "format": "HTML",
          "mediaType": "text/html",
          "rights": [
            "Public"
          ],
          "modified": "2025-12-02",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://www.cdc.gov/infrastructure-phig/php/funding-profiles/",
            "title": "Public Health Infrastructure Grant (PHIG) Funding Profiles"
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            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted",
              "restrictionNote": "Publicly available dataset"
            }
          ]
        }
      ],
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    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/jamestown-canyon/data-maps/index.html",
      "title": "Jamestown Canyon virus Data and Maps",
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        {
          "@type": "Kind",
          "fn": "ArboNET Surveillance Team",
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        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
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                "@type": "Organization",
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            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Jamestown Canyon virus"
        }
      ],
      "keyword": [
        "Jamestown Canyon virus",
        "Interactive data family",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/jamestown-canyon/data-maps/index.html",
        "title": "Jamestown Canyon virus Data and Maps"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CT 2022",
          "description": "CDC data visualization titled CT 2022 related to Mosquito-Borne Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/jamestown-canyon/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/jamestown-canyon/statistics/final-pages/data-visuals/ct-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-10"
        },
        {
          "@type": "Distribution",
          "title": "Cumulative Data",
          "description": "CDC data visualization titled Cumulative Data related to Mosquito-Borne Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/jamestown-canyon/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/jamestown-canyon/data-maps/visuals-2025/cumulative-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-10"
        },
        {
          "@type": "Distribution",
          "title": "Cumulative Data",
          "description": "CDC data visualization titled Cumulative Data related to Mosquito-Borne Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/jamestown-canyon/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/jamestown-canyon/statistics/final-pages/data-visuals/cumulative-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Current Data",
          "description": "CDC data visualization titled Current Data related to Mosquito-Borne Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
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          "downloadURL": "https://www.cdc.gov/jamestown-canyon/statistics/final-pages/data-visuals/current-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-21"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite Neuroinvasive Cases",
          "description": "CDC data visualization titled Data Bite Neuroinvasive Cases related to Mosquito-Borne Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/jamestown-canyon/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/jamestown-canyon/statistics/final-pages/data-visuals/data-bite-neuroinvasive-caseso.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-18"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite States Reporting Cases",
          "description": "CDC data visualization titled Data Bite States Reporting Cases related to Mosquito-Borne Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/jamestown-canyon/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/jamestown-canyon/statistics/final-pages/data-visuals/data-bite-states-reporting-cases.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-18"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite Total Human Cases",
          "description": "CDC data visualization titled Data Bite Total Human Cases related to Mosquito-Borne Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/jamestown-canyon/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/jamestown-canyon/statistics/final-pages/data-visuals/data-bite-total-cases.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-18"
        },
        {
          "@type": "Distribution",
          "title": "Explore County Data",
          "description": "CDC data visualization titled Explore County Data related to Mosquito-Borne Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/jamestown-canyon/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/jamestown-canyon/data-maps/visuals-2025/explore-county-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-10"
        },
        {
          "@type": "Distribution",
          "title": "Explore County Data",
          "description": "CDC data visualization titled Explore County Data related to Mosquito-Borne Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/jamestown-canyon/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/jamestown-canyon/statistics/final-pages/data-visuals/explore-county-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Explore Human Data",
          "description": "CDC data visualization titled Explore Human Data related to Mosquito-Borne Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/jamestown-canyon/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/jamestown-canyon/data-maps/visuals-2025/explore-human-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-27"
        },
        {
          "@type": "Distribution",
          "title": "Explore Human Data",
          "description": "CDC data visualization titled Explore Human Data related to Mosquito-Borne Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
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          "downloadURL": "https://www.cdc.gov/jamestown-canyon/statistics/final-pages/data-visuals/explore-human-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Explore Non-Human Data",
          "description": "CDC data visualization titled Explore Non-Human Data related to Mosquito-Borne Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
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          "downloadURL": "https://www.cdc.gov/jamestown-canyon/statistics/final-pages/data-visuals/explore-nonhuman-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-26"
        },
        {
          "@type": "Distribution",
          "title": "Historic Last Updated",
          "description": "CDC data visualization titled Historic Last Updated related to Mosquito-Borne Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/jamestown-canyon/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/jamestown-canyon/data-maps/visuals-2025/historic-last-updated.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-28"
        },
        {
          "@type": "Distribution",
          "title": "Jamestown Canyon virus Data and Maps",
          "description": "Current and historic ArboNET data.",
          "accessURL": "https://www.cdc.gov/jamestown-canyon/data-maps/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Jamestown Canyon virus Data and Maps application",
          "description": "Current and historic ArboNET data.",
          "accessURL": "https://www.cdc.gov/jamestown-canyon/data-maps/current-year-data.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Jamestown Canyon virus Data and Maps related resource",
          "description": "Current and historic ArboNET data.",
          "accessURL": "https://www.cdc.gov/jamestown-canyon/data-maps/historic-data.html",
          "format": "Web resource"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/index.html",
      "title": "La Crosse encephalitis Data and Maps",
      "description": "Current and historic ArboNET data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ArboNET Surveillance Team",
          "hasEmail": "mailto:dvbid2@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
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          {
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            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "La Crosse encephalitis"
        }
      ],
      "keyword": [
        "La Crosse encephalitis",
        "Interactive data family",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/index.html",
        "title": "La Crosse encephalitis Data and Maps"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CT 2022",
          "description": "CDC data visualization titled CT 2022. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/preview-pages/preview-visuals/ct-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-12"
        },
        {
          "@type": "Distribution",
          "title": "CT 2022",
          "description": "CDC data visualization titled CT 2022. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/la-crosse-encephalitis/data-research/facts-stats/ct-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-11"
        },
        {
          "@type": "Distribution",
          "title": "Cumulative Data",
          "description": "CDC data visualization titled Cumulative Data related to Encephalitis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/la-crosse-encephalitis/data-research/facts-stats/cumulative-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Current Data",
          "description": "CDC data visualization titled Current Data related to Encephalitis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/la-crosse-encephalitis/data-research/facts-stats/current-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-01"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite Neuroinvasive Cases",
          "description": "CDC data visualization titled Data Bite Neuroinvasive Cases related to Encephalitis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/la-crosse-encephalitis/data-research/facts-stats/data-bite-neuroinvasive-caseso.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-18"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite States Reporting Cases",
          "description": "CDC data visualization titled Data Bite States Reporting Cases related to Encephalitis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/la-crosse-encephalitis/data-research/facts-stats/data-bite-states-reporting-cases.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-18"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite Total Human Cases",
          "description": "CDC data visualization titled Data Bite Total Human Cases related to Encephalitis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/la-crosse-encephalitis/data-research/facts-stats/data-bite-total-cases.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-18"
        },
        {
          "@type": "Distribution",
          "title": "Explore County Data",
          "description": "CDC data visualization titled Explore County Data. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/visuals-2025/explore-county-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-12"
        },
        {
          "@type": "Distribution",
          "title": "Explore County Data",
          "description": "CDC data visualization titled Explore County Data. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/la-crosse-encephalitis/data-research/facts-stats/explore-county-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Explore Human Data",
          "description": "CDC data visualization titled Explore Human Data. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/la-crosse-encephalitis/data-research/facts-stats/explore-human-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Explore Non-Human Data",
          "description": "CDC data visualization titled Explore Non-Human Data related to English. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/la-crosse-encephalitis/data-research/facts-stats/explore-nonhuman-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-26"
        },
        {
          "@type": "Distribution",
          "title": "Historic Last Updated",
          "description": "CDC data visualization titled Historic Last Updated. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/visuals-2025/historic-last-updated.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-28"
        },
        {
          "@type": "Distribution",
          "title": "La Crosse encephalitis Data and Maps",
          "description": "Current and historic ArboNET data.",
          "accessURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "La Crosse encephalitis Data and Maps application",
          "description": "Current and historic ArboNET data.",
          "accessURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/current-year-data.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "La Crosse encephalitis Data and Maps related resource",
          "description": "Current and historic ArboNET data.",
          "accessURL": "https://www.cdc.gov/la-crosse-encephalitis/data-maps/historic-data.html",
          "format": "Web resource"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/lassa-fever/about/index.html",
      "title": "Lassa Fever Distribution",
      "description": "Map depicting Lassa Fever distribution in Africa",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Viral hemorrhagic fevers"
        }
      ],
      "keyword": [
        "Lassa fever"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/lead-prevention/php/data/national-surveillance-data.html",
      "title": "Childhood Blood Lead Surveillance (CBLS) Data set",
      "description": "The CDC’s Childhood Blood Lead Surveillance (CBLS) data set encompasses national-level data on childhood lead exposure, collected from state and local health departments. Data includes blood lead levels, medical treatment, environmental investigations, and potential lead exposure sources. States extract or de-identify variables containing personally identifiable information (PII) prior to submission.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CLPPP - Childhood Lead Poisoning and Prevention Program",
          "hasEmail": "mailto:leadsurv@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Lead Poisoning Prevention and Surveillance Branch (LPPSB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "restricted public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/leishmaniasis/risk-factors/index.html",
      "title": "Leishmaniasis Geographic Risk",
      "description": "Public CDC map / static data page providing data or related information for Leishmaniasis.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Division of Parasitic Diseases and Malaria",
          "hasEmail": "mailto:parasites@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Parasitic Diseases and Malaria (DPDM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Leishmaniasis"
        }
      ],
      "keyword": [
        "Leishmaniasis",
        "Map / static data page",
        "DPDM"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/leishmaniasis/risk-factors/index.html",
        "title": "Leishmaniasis Geographic Risk"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Leishmaniasis Geographic Risk",
          "description": "Access point for Leishmaniasis Geographic Risk.",
          "accessURL": "https://www.cdc.gov/leishmaniasis/risk-factors/index.html",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/leptospirosis/php/surveillance/index.html",
      "title": "Leptospirosis Surveillance",
      "description": "Public CDC surveillance documentation / data links providing data or related information for Leptospirosis.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Leptospirosis"
        }
      ],
      "keyword": [
        "Leptospirosis",
        "Surveillance documentation / data links",
        "DHCPP"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/leptospirosis/php/surveillance/index.html",
        "title": "Leptospirosis Surveillance"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/leptospirosis/php/surveillance/index.html",
        "title": "Leptospirosis Surveillance"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Leptospirosis Surveillance",
          "description": "Access point for Leptospirosis Surveillance.",
          "accessURL": "https://www.cdc.gov/leptospirosis/php/surveillance/index.html",
          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
      "title": "Listeria Surveillance Hub",
      "description": "Public CDC data / report hub providing data or related information for Listeriosis.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Listeriosis"
        }
      ],
      "keyword": [
        "Listeriosis",
        "Data / report hub",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
        "title": "Listeria Surveillance Hub"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2019 Listeria Summary Figure 1 Map",
          "description": "CDC data visualization titled 2019 Listeria Summary Figure 1 Map related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/modules/surveillance/2019-listeria-summary-figure-1-map-final.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-11-06"
        },
        {
          "@type": "Distribution",
          "title": "2019 Listeria Summary Figure 2",
          "description": "CDC data visualization titled 2019 Listeria Summary Figure 2 related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/modules/surveillance/2019-listeria-summary-figure-2.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-10-26"
        },
        {
          "@type": "Distribution",
          "title": "ice-cream-6-22.timeline",
          "description": "CDC data visualization titled ice-cream-6-22.timeline related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/monocytogenes-06-22/modules/ice-cream-6-22.timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-09"
        },
        {
          "@type": "Distribution",
          "title": "Listeria Surveillance Hub",
          "description": "Access point for Listeria Surveillance Hub.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "Map",
          "description": "CDC data visualization titled Map related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/shakes-022025/visualizations/map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-05-16"
        },
        {
          "@type": "Distribution",
          "title": "Map - Listeria Outbreak, June 2025",
          "description": "CDC data visualization titled Map - Listeria Outbreak, June 2025 related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/chicken-fettuccine-alfredo-06-25/modules/map-listeria-june-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-02-10"
        },
        {
          "@type": "Distribution",
          "title": "Map - Listeria Outbreak, June 2026",
          "description": "CDC data visualization titled Map - Listeria Outbreak, June 2026 related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/soft-cheese-06-26/modules/map-listeria-june-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-16"
        },
        {
          "@type": "Distribution",
          "title": "Map - Listeria Outbreak, May 2025",
          "description": "CDC data visualization titled Map - Listeria Outbreak, May 2025 related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/ready-to-eat-foods-may-2025/modules/map-listeria-may-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-05-07"
        },
        {
          "@type": "Distribution",
          "title": "Map - Meat and Poultry 2024",
          "description": "CDC data visualization titled Map - Meat and Poultry 2024 related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/media/visualizations/map-meat-and-poultry-2024.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-06"
        },
        {
          "@type": "Distribution",
          "title": "Map for Ice Cream 8-2023",
          "description": "CDC data visualization titled Map for Ice Cream 8-2023 related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/media/visualizations/map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-01-11"
        },
        {
          "@type": "Distribution",
          "title": "monocytogenes-09-22-timeline",
          "description": "CDC data visualization titled monocytogenes-09-22-timeline related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/monocytogenes-09-22/modules/monocytogenes-09-22-timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-12"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/cheese-02-24/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-06"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/deli-meat-and-cheese-11-22/rus/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-21"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/delimeats-7-24/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-11-20"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/enoki-11-22/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-04-07"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/monocytogenes-02-23/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-06-13"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/monocytogenes-06-22/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2022-11-02"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/monocytogenes-09-22/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2022-09-30"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/peaches-11-23/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-01-30"
        },
        {
          "@type": "Distribution",
          "title": "Peaches-11-23-timeline",
          "description": "CDC data visualization titled Peaches-11-23-timeline related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/peaches-11-23/modules/peaches-11-23-timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-09"
        },
        {
          "@type": "Distribution",
          "title": "Timeline",
          "description": "CDC data visualization titled Timeline related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/cheese-02-24/modules/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-12"
        },
        {
          "@type": "Distribution",
          "title": "Timeline",
          "description": "CDC data visualization titled Timeline related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/delimeats-7-24/modules/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-11-19"
        },
        {
          "@type": "Distribution",
          "title": "Timeline",
          "description": "CDC data visualization titled Timeline related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/enoki-11-22/modules/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-19"
        },
        {
          "@type": "Distribution",
          "title": "Timeline",
          "description": "CDC data visualization titled Timeline related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/monocytogenes-02-23/modules/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-12"
        },
        {
          "@type": "Distribution",
          "title": "Timeline",
          "description": "CDC data visualization titled Timeline related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/shakes-022025/visualizations/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-05-15"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Listeria Outbreak, June 2025",
          "description": "CDC data visualization titled Timeline - Listeria Outbreak, June 2025 related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/chicken-fettuccine-alfredo-06-25/modules/timeline-listeria-june-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-02-10"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Listeria Outbreak, June 2026",
          "description": "CDC data visualization titled Timeline - Listeria Outbreak, June 2026 related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/soft-cheese-06-26/modules/timeline-listeria-june-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-23"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Listeria Outbreak, May 2025",
          "description": "CDC data visualization titled Timeline - Listeria Outbreak, May 2025 related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/ready-to-eat-foods-may-2025/modules/timeline-listeria-may-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-05-07"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Meat and Poultry 2024",
          "description": "CDC data visualization titled Timeline - Meat and Poultry 2024 related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/media/visualizations/timeline-meat-and-poultry-2024.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-06"
        },
        {
          "@type": "Distribution",
          "title": "Timeline Epi Deli Meat and Cheese",
          "description": "CDC data visualization titled Timeline Epi Deli Meat and Cheese related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/delimeats-7-24/modules/epi-deli-meat-and-cheese.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-19"
        },
        {
          "@type": "Distribution",
          "title": "when-people-got-sick.json",
          "description": "CDC data visualization titled when-people-got-sick.json related to Listeriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/listeria/php/surveillance/surveillance.html",
          "downloadURL": "https://www.cdc.gov/listeria/outbreaks/ice-cream-08-23/modules/when-people-got-sick.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-09"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/lyme/data-research/facts-stats/surveillance-data-1.html",
      "title": "Lyme Disease Surveillance Dashboard",
      "description": "Dashboard plus public-use datasets.",
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        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
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          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Lyme disease"
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      ],
      "keyword": [
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        "Interactive dashboard",
        "DVBD"
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      "landingPage": {
        "@type": "Document",
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        {
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          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
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      "title": "U.S. Malaria Data and Statistics",
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      ],
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        "@type": "Organization",
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          }
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      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Malaria"
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        "Interactive data / report page",
        "DPDM"
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        "@type": "Document",
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          "title": "Cases 2019",
          "description": "CDC data visualization titled Cases 2019 related to Malaria. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
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          "downloadURL": "https://www.cdc.gov/malaria/modules/malaria/Cases-2019_1.json",
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          "modified": "2025-07-08"
        },
        {
          "@type": "Distribution",
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          "description": "CDC data visualization titled Cases 2020 related to Malaria. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
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          "downloadURL": "https://www.cdc.gov/malaria/modules/malaria/Cases-2020.json",
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          "mediaType": "application/json",
          "modified": "2025-07-08"
        },
        {
          "@type": "Distribution",
          "title": "Cases 2021",
          "description": "CDC data visualization titled Cases 2021 related to Malaria. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
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          "downloadURL": "https://www.cdc.gov/malaria/modules/malaria/Cases-2021.json",
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          "mediaType": "application/json",
          "modified": "2025-07-08"
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        {
          "@type": "Distribution",
          "title": "Cases 2022",
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          "downloadURL": "https://www.cdc.gov/malaria/modules/malaria/Cases-2022.json",
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          "modified": "2025-07-08"
        },
        {
          "@type": "Distribution",
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          "downloadURL": "https://www.cdc.gov/malaria/modules/malaria/histogram-species-2019.json",
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        },
        {
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        {
          "@type": "Distribution",
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        {
          "@type": "Distribution",
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          "downloadURL": "https://www.cdc.gov/malaria/modules/malaria/histogram-species-2022.json",
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          "modified": "2025-07-08"
        },
        {
          "@type": "Distribution",
          "title": "Malaria Death and Care Fatality Rate, 2007 - 2022",
          "description": "CDC data visualization titled Malaria Death and Care Fatality Rate, 2007 - 2022 related to Malaria. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
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          "downloadURL": "https://www.cdc.gov/malaria/modules/malaria/death-rate.json",
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          "mediaType": "application/json",
          "modified": "2025-07-07"
        },
        {
          "@type": "Distribution",
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          "downloadURL": "https://www.cdc.gov/malaria/modules/malaria/cases_1970_2022.json",
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          "modified": "2025-07-07"
        },
        {
          "@type": "Distribution",
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          "description": "CDC data visualization titled Number of malaria cases by species and year, 2014 – 2022 related to Malaria. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/malaria/php/surveillance-report/index.html",
          "downloadURL": "https://www.cdc.gov/malaria/modules/malaria/Graph_species-2014-2022.json",
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          "mediaType": "application/json",
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        },
        {
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          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/marburg/outbreaks/index.html",
      "title": "Marburg Outbreak History",
      "description": "Historical data on Marburg outbreaks",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
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      ],
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      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Viral hemorrhagic fevers"
        }
      ],
      "keyword": [
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      ],
      "inventoried": "2026-09-27"
    },
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      "description": "Public CDC situation summary providing data or related information for Marburg.",
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          "@type": "Kind",
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        ]
      },
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        {
          "@type": "Concept",
          "prefLabel": "Marburg"
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      "keyword": [
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        "Situation summary",
        "DHCPP"
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      "landingPage": {
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        }
      ],
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    },
    {
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      "title": "Medication Safety FastStats",
      "description": "Public CDC data / statistics page providing data or related information for Medication safety.",
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        {
          "@type": "Kind",
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      "accessRights": "public",
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        {
          "@type": "Concept",
          "prefLabel": "Medication safety"
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        "DHQP"
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      "landingPage": {
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        }
      ],
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    },
    {
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      "identifier": "https://www.cdc.gov/melioidosis/php/surveillance/index.html",
      "title": "Melioidosis Surveillance",
      "description": "Public CDC surveillance documentation / data links providing data or related information for Melioidosis.",
      "contactPoint": [
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        {
          "@type": "Concept",
          "prefLabel": "Melioidosis"
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      "keyword": [
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        "Surveillance documentation / data links",
        "DHCPP"
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      "landingPage": {
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        "accessURL": "https://www.cdc.gov/melioidosis/php/surveillance/index.html",
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      "describedBy": {
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        "title": "Melioidosis Surveillance"
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          "description": "Access point for Melioidosis Geographic Distribution.",
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          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/melioidosis/risk-factors/index.html",
      "title": "Melioidosis Geographic Distribution",
      "description": "Melioidosis distribution by country",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
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        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Melioidosis"
        }
      ],
      "keyword": [
        "Melioidosis"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/microbenet/php/about/index.html",
      "title": "MicrobeNet",
      "description": "Free pathogen identification platform; account may be required for application access.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Pathogen identification"
        }
      ],
      "keyword": [
        "Pathogen identification",
        "Diagnostic query platform",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/microbenet/php/about/index.html",
        "title": "MicrobeNet"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "MicrobeNet",
          "description": "Free pathogen identification platform; account may be required for application access.",
          "accessURL": "https://www.cdc.gov/microbenet/php/about/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "MicrobeNet application",
          "description": "Free pathogen identification platform; account may be required for application access.",
          "accessURL": "https://microbenet.cdc.gov/",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/mmwr/volumes/70/wr/mm7009a2.htm?s_cid=mm7009a2_w",
      "title": "Giardiasis Outbreaks - United States, 2012-2017",
      "description": "Summary MMWR report of giardiasis cases in the US from 2012-2017.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
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        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Giardiasis"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/mmwr/volumes/75/ss/ss7502a1.htm",
      "title": "Brucellosis Surveillance Report, 2010-2024",
      "description": "Surveillance report available for Brucellosis from 2010-2024",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Brucellosis"
        }
      ],
      "keyword": [
        "Brucellosis"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/monkeypox/data-research/cases/",
      "title": "U.S. Monkeypox Case Data",
      "description": "Public CDC interactive data page providing data or related information for Monkeypox.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Monkeypox"
        }
      ],
      "keyword": [
        "Monkeypox",
        "Interactive data page",
        "DHCPP"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
        "title": "U.S. Monkeypox Case Data"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2022 Monkeypox Response Demographics",
          "description": "Access point for 2022 Monkeypox Response Demographics.",
          "accessURL": "https://archive.cdc.gov/www_cdc_gov/poxvirus/mpox/response/2022/demographics.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Confirmed Clade I and Clade II Monkeypox Cases",
          "description": "CDC data visualization titled Confirmed Clade I and Clade II Monkeypox Cases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/outbreaks/modules/mpox-global-situation-cladeI-map-URL_alt.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-29"
        },
        {
          "@type": "Distribution",
          "title": "Confirmed Clade I and Clade II Monkeypox Cases 2022",
          "description": "CDC data visualization titled Confirmed Clade I and Clade II Monkeypox Cases 2022. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/outbreaks/modules/mpox-global-situation-cladeII-map-URL_alt.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-29"
        },
        {
          "@type": "Distribution",
          "title": "Current Monkeypox Situation",
          "description": "Access point for Current Monkeypox Situation.",
          "accessURL": "https://www.cdc.gov/monkeypox/situation-summary/index.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "MPOX Clade Dashboard",
          "description": "CDC data visualization titled MPOX Clade Dashboard. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/modules/mpox-clade-dashboard.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-30"
        },
        {
          "@type": "Distribution",
          "title": "MPOX Clade Dashboard",
          "description": "CDC data visualization titled MPOX Clade Dashboard. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/modules/mpox-clade-dashboard-fixed.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-04"
        },
        {
          "@type": "Distribution",
          "title": "MPOX Clade Dashboard",
          "description": "CDC data visualization titled MPOX Clade Dashboard. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/modules/mpox-clade-dashboard_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-19"
        },
        {
          "@type": "Distribution",
          "title": "MPOX Clade Dashboard",
          "description": "CDC data visualization titled MPOX Clade Dashboard. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/modules/mpox-clade-dashboard_2.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-19"
        },
        {
          "@type": "Distribution",
          "title": "mpox-global-situation-cladeI-map",
          "description": "CDC data visualization titled mpox-global-situation-cladeI-map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/donotpublish/mpox-global-situation-cladeI-map-URL.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-11-21"
        },
        {
          "@type": "Distribution",
          "title": "mpox-global-situation-cladeI-map",
          "description": "CDC data visualization titled mpox-global-situation-cladeI-map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/outbreaks/modules/mpox-global-situation-cladeI-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-02"
        },
        {
          "@type": "Distribution",
          "title": "mpox-global-situation-cladeI-map",
          "description": "CDC data visualization titled mpox-global-situation-cladeI-map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/outbreaks/modules/mpox-global-situation-cladeI-map-URL.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-11-07"
        },
        {
          "@type": "Distribution",
          "title": "mpox-global-situation-cladeI-map-TEST 2",
          "description": "CDC data visualization titled mpox-global-situation-cladeI-map-TEST 2. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/outbreaks/modules/mpox-global-situation-cladeI-map_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-02"
        },
        {
          "@type": "Distribution",
          "title": "mpox-global-situation-cladeII-map",
          "description": "CDC data visualization titled mpox-global-situation-cladeII-map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/outbreaks/modules/mpox-global-situation-cladeII-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-11"
        },
        {
          "@type": "Distribution",
          "title": "mpox-global-situation-cladeII-map",
          "description": "CDC data visualization titled mpox-global-situation-cladeII-map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/outbreaks/modules/mpox-global-situation-cladeII-map-URL.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-11-07"
        },
        {
          "@type": "Distribution",
          "title": "mpox-global-situation-map-test",
          "description": "CDC data visualization titled mpox-global-situation-map-test. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/outbreaks/modules/mpox-global-situation-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-05"
        },
        {
          "@type": "Distribution",
          "title": "MPX Trends",
          "description": "CDC data visualization titled MPX Trends. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/data-research/mpx-trends.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-03"
        },
        {
          "@type": "Distribution",
          "title": "MPX Trends",
          "description": "CDC data visualization titled MPX Trends. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/data-research/mpx-trends-URL.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-02"
        },
        {
          "@type": "Distribution",
          "title": "MPX Trends",
          "description": "CDC data visualization titled MPX Trends. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/data-research/mpx-trends-URL-Date-Parse-Test.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-17"
        },
        {
          "@type": "Distribution",
          "title": "MPX Trends",
          "description": "CDC data visualization titled MPX Trends. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/data-research/mpx-trends-URL_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-08"
        },
        {
          "@type": "Distribution",
          "title": "MPX Trends",
          "description": "CDC data visualization titled MPX Trends. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/data-research/mpx-trends-manual.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-11-20"
        },
        {
          "@type": "Distribution",
          "title": "MPX Trends",
          "description": "CDC data visualization titled MPX Trends. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/data-research/mpx-trends_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-03"
        },
        {
          "@type": "Distribution",
          "title": "MPX Trends",
          "description": "CDC data visualization titled MPX Trends. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/donotpublish/area-chart-test.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-07"
        },
        {
          "@type": "Distribution",
          "title": "MPX Trends",
          "description": "CDC data visualization titled MPX Trends. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/donotpublish/mpx-trends-URL.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-04"
        },
        {
          "@type": "Distribution",
          "title": "MPX Trends",
          "description": "CDC data visualization titled MPX Trends. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "downloadURL": "https://www.cdc.gov/monkeypox/donotpublish/mpx-trends-manual.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-03"
        },
        {
          "@type": "Distribution",
          "title": "U.S. Monkeypox Case Data",
          "description": "Access point for U.S. Monkeypox Case Data.",
          "accessURL": "https://www.cdc.gov/monkeypox/data-research/cases/",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/mosquitoes/php/insecticide-resistance/cdc-bottle-bioassay.html",
      "title": "CDC Bottle Bioassay",
      "description": "The CDC bottle bioassay is a simple, rapid, and economical test that determines if an insecticide’s active ingredient can kill target mosquito populations within a certain time frame.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Arboviral Diseases Branch, Entomology and Ecology Lab, Insecticide Resistance Laboratory",
          "hasEmail": "mailto:usbottleassaykit@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Parasitic Diseases and Malaria (DPDM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Mosquito insecticide resistance"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/mycoplasma/php/surveillance/index.html",
      "title": "Mycoplasma pneumoniae Infection Surveillance and Trends",
      "description": "Percentage of Pneumonia-associated ED Visits with an M. pneumoniae Diagnosis",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-DBD",
          "hasEmail": "mailto:pneumonia-strep@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/naegleria/data/index.html",
      "title": "Naegleria fowleri Data",
      "description": "Maps, trends and downloadable CSVs.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Naegleria fowleri"
        }
      ],
      "keyword": [
        "Naegleria fowleri",
        "Interactive data page",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/naegleria/data/index.html",
        "title": "Naegleria fowleri Data"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Case Count by Age and Sex",
          "description": "CDC data visualization titled Case Count by Age and Sex. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/naegleria/data/index.html",
          "downloadURL": "https://www.cdc.gov/naegleria/data/modules/case-by-age-and-sex.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-03"
        },
        {
          "@type": "Distribution",
          "title": "Date of symptom onset by Month",
          "description": "CDC data visualization titled Date of symptom onset by Month. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/naegleria/data/index.html",
          "downloadURL": "https://www.cdc.gov/naegleria/data/modules/date-of-symptoms-by-month.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-03"
        },
        {
          "@type": "Distribution",
          "title": "Infections by year",
          "description": "CDC data visualization titled Infections by year. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/naegleria/data/index.html",
          "downloadURL": "https://www.cdc.gov/naegleria/data/modules/infections-by-year.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-26"
        },
        {
          "@type": "Distribution",
          "title": "Naegleria fowleri Data",
          "description": "Maps, trends and downloadable CSVs.",
          "accessURL": "https://www.cdc.gov/naegleria/data/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Number of Cases of Primary Amebic Meningoencephalitis caused by Naegleria fowleri, by State of Exposure",
          "description": "CDC data visualization titled Number of Cases of Primary Amebic Meningoencephalitis caused by Naegleria fowleri, by State of Exposure. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/naegleria/data/index.html",
          "downloadURL": "https://www.cdc.gov/naegleria/data/modules/state.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-18"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/narms/data/index.html",
      "title": "NARMS Data and Reports",
      "description": "Current human data route to BEAM; integrated interagency data are on FDA.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Antimicrobial resistance in enteric bacteria"
        }
      ],
      "keyword": [
        "Antimicrobial resistance in enteric bacteria",
        "Data / report hub",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/narms/data/index.html",
        "title": "NARMS Data and Reports"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Integrated NARMS Reports and Dashboards",
          "description": "Combines human, retail meat and food-animal data.",
          "accessURL": "https://www.fda.gov/animal-veterinary/national-antimicrobial-resistance-monitoring-system/integrated-reportssummaries",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "NARMS Data and Reports",
          "description": "Current human data route to BEAM; integrated interagency data are on FDA.",
          "accessURL": "https://www.cdc.gov/narms/data/index.html",
          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/national-enteric-surveillance/about/index.html",
      "title": "National Enteric Disease Surveillance Index",
      "description": "Public CDC program / data index providing data or related information for Enteric disease surveillance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
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          "@type": "Concept",
          "prefLabel": "Vaccinations"
        }
      ],
      "keyword": [
        "COVID-19 legacy NHSN products",
        "dialysis"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/nhsn/covid19/index.html",
      "title": "NHSN COVID-19 Modules and Dashboard Index",
      "description": "Public CDC dashboard / index providing data or related information for COVID-19 legacy NHSN products.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance Branch, DHQP",
          "hasEmail": "mailto:nhsn@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Healthcare Quality Promotion (DHQP)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
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              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "COVID-19 legacy NHSN products"
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      ],
      "keyword": [
        "COVID-19 legacy NHSN products",
        "Dashboard / index",
        "DHQP"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nhsn/covid19/index.html",
        "title": "NHSN COVID-19 Modules and Dashboard Index"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Dialysis COVID-19 Data Dashboard",
          "description": "Access point for Dialysis COVID-19 Data Dashboard.",
          "accessURL": "https://www.cdc.gov/nhsn/covid19/dial-report-overview.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Dialysis COVID-19 Vaccination Dashboard",
          "description": "Access point for Dialysis COVID-19 Vaccination Dashboard.",
          "accessURL": "https://www.cdc.gov/nhsn/covid19/dial-vaccination-dashboard.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Hospital Capacity COVID-19 Dashboard",
          "description": "Access point for Hospital Capacity COVID-19 Dashboard.",
          "accessURL": "https://www.cdc.gov/nhsn/covid19/report-overview.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "NHSN COVID-19 Modules and Dashboard Index",
          "description": "Access point for NHSN COVID-19 Modules and Dashboard Index.",
          "accessURL": "https://www.cdc.gov/nhsn/covid19/index.html",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/nhsn/index.html",
      "title": "NHSN Home",
      "description": "Operational reporting platform; public dashboards and reports are separate child records.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NHSN Help Desk",
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        }
      ],
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        "subOrganizationOf": [
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            "@type": "Organization",
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              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "National Healthcare Safety Network"
        }
      ],
      "keyword": [
        "National Healthcare Safety Network",
        "Restricted surveillance platform documentation",
        "DHQP"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nhsn/index.html",
        "title": "NHSN Home"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nhsn/index.html",
        "title": "NHSN Home"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Case Rates (COVID, FLU, RSV)",
          "description": "CDC data visualization titled Case Rates (COVID, FLU, RSV) related to National Healthcare Safety Network (NHSN). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nhsn/index.html",
          "downloadURL": "https://www.cdc.gov/nhsn/maintenance/case-rates-covid-fl.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-14"
        },
        {
          "@type": "Distribution",
          "title": "Case Rates (COVID, FLU, RSV)",
          "description": "CDC data visualization titled Case Rates (COVID, FLU, RSV) related to National Healthcare Safety Network (NHSN). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nhsn/index.html",
          "downloadURL": "https://www.cdc.gov/nhsn/modules/case-rates-covid-flu-rsv.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-29"
        },
        {
          "@type": "Distribution",
          "title": "COVID-19 UTD Staff Line Chart",
          "description": "CDC data visualization titled COVID-19 UTD Staff Line Chart related to National Healthcare Safety Network (NHSN). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nhsn/index.html",
          "downloadURL": "https://www.cdc.gov/nhsn/maintenance/covid-19-utd-staff-liart.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-14"
        },
        {
          "@type": "Distribution",
          "title": "COVID-19 UTD Staff Line Chart",
          "description": "CDC data visualization titled COVID-19 UTD Staff Line Chart related to National Healthcare Safety Network (NHSN). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nhsn/index.html",
          "downloadURL": "https://www.cdc.gov/nhsn/modules/covid-19-utd-staff-line-chart.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-29"
        },
        {
          "@type": "Distribution",
          "title": "Hospitalization Rates (FLU, RSV, COVID)",
          "description": "CDC data visualization titled Hospitalization Rates (FLU, RSV, COVID) related to National Healthcare Safety Network (NHSN). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nhsn/index.html",
          "downloadURL": "https://www.cdc.gov/nhsn/maintenance/hospitalization-rates-fv-covid.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-14"
        },
        {
          "@type": "Distribution",
          "title": "Hospitalization Rates (FLU, RSV, COVID)",
          "description": "CDC data visualization titled Hospitalization Rates (FLU, RSV, COVID) related to National Healthcare Safety Network (NHSN). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nhsn/index.html",
          "downloadURL": "https://www.cdc.gov/nhsn/modules/hospitalization-rates-flu-rsv-covid.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-29"
        },
        {
          "@type": "Distribution",
          "title": "NHSN AUR Module Reports",
          "description": "Access point for NHSN AUR Module Reports.",
          "accessURL": "https://www.cdc.gov/nhsn/datastat/aur-reports.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "NHSN Dialysis Event Reports",
          "description": "Access point for NHSN Dialysis Event Reports.",
          "accessURL": "https://www.cdc.gov/nhsn/datastat/dialysis-reports.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "NHSN Home",
          "description": "Operational reporting platform; public dashboards and reports are separate child records.",
          "accessURL": "https://www.cdc.gov/nhsn/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "NHSN Reports Hub",
          "description": "Access point for NHSN Reports Hub.",
          "accessURL": "https://www.cdc.gov/nhsn/datastat/index.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "Vacc Coverage",
          "description": "CDC data visualization titled Vacc Coverage related to National Healthcare Safety Network (NHSN). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nhsn/index.html",
          "downloadURL": "https://www.cdc.gov/nhsn/modules/vacc-coverage.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-30"
        },
        {
          "@type": "Distribution",
          "title": "Vacc Coverage Line Chart",
          "description": "CDC data visualization titled Vacc Coverage Line Chart related to National Healthcare Safety Network (NHSN). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nhsn/index.html",
          "downloadURL": "https://www.cdc.gov/nhsn/maintenance/vacc-coverage-lin.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-14"
        },
        {
          "@type": "Distribution",
          "title": "Vacc Coverage Line Chart",
          "description": "CDC data visualization titled Vacc Coverage Line Chart related to National Healthcare Safety Network (NHSN). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nhsn/index.html",
          "downloadURL": "https://www.cdc.gov/nhsn/modules/vacc-coverage-line-chart.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-29"
        },
        {
          "@type": "Distribution",
          "title": "waffle.json",
          "description": "CDC data visualization titled waffle.json related to National Healthcare Safety Network (NHSN). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nhsn/index.html",
          "downloadURL": "https://www.cdc.gov/nhsn/2022rebaseline/waffle.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-04"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/nhsn/ltc/ltc-report-overview.html",
      "title": "Nursing Home Data Dashboard",
      "description": "Public CDC interactive dashboard providing data or related information for Nursing homes. Source inventory cadence or coverage note: Weekly.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance Branch, DHQP",
          "hasEmail": "mailto:nhsn@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Healthcare Quality Promotion (DHQP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Nursing homes"
        }
      ],
      "keyword": [
        "Nursing homes",
        "Interactive dashboard",
        "DHQP"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nhsn/ltc/ltc-report-overview.html",
        "title": "Nursing Home Data Dashboard"
      },
      "status": "active",
      "accrualPeriodicity": "weekly",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Nursing Home Data Dashboard",
          "description": "Access point for Nursing Home Data Dashboard.",
          "accessURL": "https://www.cdc.gov/nhsn/ltc/ltc-report-overview.html",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/nhsn/ltc/vha/index.html",
      "title": "State Veterans Homes COVID-19 Tool",
      "description": "CDC restricted reporting module documentation providing information about or access to State veterans homes.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance Branch, DHQP",
          "hasEmail": "mailto:nhsn@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Healthcare Quality Promotion (DHQP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "State veterans homes"
        }
      ],
      "keyword": [
        "State veterans homes",
        "Restricted reporting module documentation",
        "DHQP"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nhsn/ltc/vha/index.html",
        "title": "State Veterans Homes COVID-19 Tool"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nhsn/ltc/vha/index.html",
        "title": "State Veterans Homes COVID-19 Tool"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "State Veterans Homes COVID-19 Tool",
          "description": "Access point for State Veterans Homes COVID-19 Tool.",
          "accessURL": "https://www.cdc.gov/nhsn/ltc/vha/index.html",
          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/nhsn/pdfs/datastat/2024-AU-Report-508.pdf",
      "title": "2024 Antimicrobial Use Option Data Report – January 2026",
      "description": "The 2024 AU Option Data Report summarizes the distributions of SAARs and antimicrobial use across each SAAR agent category for adult, pediatric, and neonatal patient care locations, a detailed in Table 1. The distributions of SAARs allow hospitals and group users to compare their SAARs with the national and state (if sufficient sample size) averages. Hospital antibiotic stewardship teams can use these distributions to establish hospital-specific targets within the NHSN Targeted Assessment for Antimicrobial Stewardship (TAS) Strategy. The percentage of antimicrobial use by class and drug within each SAAR category offers insights into prescribing practices across various types of patient care locations. Hospital stewardship staff can assess usage patterns in relation to local treatment guidelines, penicillin allergy protocols, antimicrobial resistance patterns and rates, and formulary options",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC Info",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Healthcare Quality Promotion (DHQP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Antimicrobial Use"
        }
      ],
      "keyword": [
        "Antimicrobial Use and Resistance"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/nhsn/psc/hospital-respiratory-dashboard.html",
      "title": "NHSN Hospital Respiratory Data Dashboard",
      "description": "Public CDC interactive dashboard providing data or related information for Hospital respiratory data. Source inventory cadence or coverage note: Weekly.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance Branch, DHQP",
          "hasEmail": "mailto:nhsn@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Healthcare Quality Promotion (DHQP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Hospital respiratory data"
        }
      ],
      "keyword": [
        "Hospital respiratory data",
        "Interactive dashboard",
        "DHQP"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nhsn/psc/hospital-respiratory-dashboard.html",
        "title": "NHSN Hospital Respiratory Data Dashboard"
      },
      "status": "active",
      "accrualPeriodicity": "weekly",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "NHSN Hospital Respiratory Data Dashboard",
          "description": "Access point for NHSN Hospital Respiratory Data Dashboard.",
          "accessURL": "https://www.cdc.gov/nhsn/psc/hospital-respiratory-dashboard.html",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/niosh/data/datasets/RD-1033-2022-0/",
      "title": "Systemic toxicity induced by topical application of heptafluorobutyric acid (PFBA) in a murine model (dataset)",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Data.cdc.gov</b> at <a href=\"https://data.cdc.gov/National-Institute-for-Occupational-Safety-and-Hea/Systemic-toxicity-induced-by-topical-application-o/37ui-3igt/about_data\"target=_blank\">https://data.cdc.gov/National-Institute-for-Occupational-Safety-and-Hea/Systemic-toxicity-induced-by-topical-application-o/37ui-3igt/about_data</a>.\nHeptafluorobutyric acid (PFBA) is a synthetic chemical belonging to the per- and polyfluoroalkyl substances (PFAS) group that includes over 5,000 chemicals. PFBA is a short-chain PFAS (C4) that has been labeled as a safer alternative to the legacy PFAS perfluorooctanoic acid (PFOA) and perfluorooctane sulfate (PFOS) which have been linked to numerous health effects. This class of chemicals are incorporated into consumer products such as stain resistant carpeting and textiles, nanosprays, medical devices, and fire-fighting foams. There is a high potential for occupational exposure and in the environment, PFBA has been detected in a variety of water sources leading to concerns for dermal exposure, however, these studies are lacking. In previous studies from our lab, PFOA was demonstrated to be absorbed via the skin and immunomodulatory. In the present study, the systemic toxicity of a 28-day dermal PFBA (3.75-15% w/v, or 93.8-375 mg/kg/dose) exposure was evaluated in a murine model. [Description provided by NIOSH]",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Divsion (HELD). Allergy and Clinical Immunology Branch (ACIB)",
          "hasEmail": "mailto:sa-cin-webteam@cdc.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
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          }
        ]
      },
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      "issued": "2022-04-14",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nEnvironmental Exposure\nOccupational Exposure\nOccupational Health\nSafety\nSkin\nTextile Industry"
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      ],
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        }
      ],
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        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/249268",
        "title": "Systemic toxicity induced by topical application of heptafluorobutyric acid (PFBA) in a murine model (dataset)"
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      "distribution": [
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          "@type": "Distribution",
          "title": "Systemic toxicity induced by topical application of heptafluorobutyric acid (PFBA) in a murine model (dataset)",
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          "accessURL": "https://stacks.cdc.gov/view/cdc/249268",
          "downloadURL": "https://data.cdc.gov/download/37ui-3igt/application%2Fx-zip-compressed",
          "format": "ZIP folder",
          "mediaType": "application/zip",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
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          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/nipah-virus/about/index.html",
      "title": "Nipah Virus Distribution and Outbreaks",
      "description": "Map depicting Nipah Virus distribution globally",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Viral hemorrhagic fevers"
        }
      ],
      "keyword": [
        "Nipah virus"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/nndss/infectious-disease/index.html",
      "title": "NNDSS Infectious Disease Data Index",
      "description": "The National Notifiable Diseases Surveillance System (NNDSS) creates provisional data and annual data for nationally notificable diseases to share information on diseases and conditions.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NNDSS Team",
          "hasEmail": "mailto:NNDSSWeb@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Shared CDC, Office of Public Health Data, Surveillance, and Technology (OPHDST)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Nationally notifiable conditions"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/nors/data/",
      "title": "National Outbreak Reporting System (NORS) data page",
      "description": "Public outputs are surfaced through BEAM and Data.CDC.gov.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Outbreak surveillance"
        }
      ],
      "keyword": [
        "Outbreak surveillance",
        "Data landing page",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nors/data/",
        "title": "National Outbreak Reporting System (NORS) data page"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/acoss/index.html",
        "title": "Animal Contact Outbreak Surveillance System (ACOSS)"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2017 Outbreak Rates",
          "description": "CDC data visualization titled 2017 Outbreak Rates related to National Outbreak Reporting System. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/nors/reports/modules/2017-outbreak-rates.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-05-07"
        },
        {
          "@type": "Distribution",
          "title": "acoss-dashboard-2-filters",
          "description": "CDC data visualization titled acoss-dashboard-2-filters. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2017-2020/acoss-dashboard-2-filters.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Animal Contact Category Dashboard 2",
          "description": "CDC data visualization titled Animal Contact Category Dashboard 2. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/chart-15a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Antimicrobial Resistant",
          "description": "CDC data visualization titled Antimicrobial Resistant related to Campylobacteriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/campylobacter/modules/antimicrobial-resistant.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-04"
        },
        {
          "@type": "Distribution",
          "title": "backyard-poultry-06-22-Outbreak Map",
          "description": "CDC data visualization titled backyard-poultry-06-22-Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/backyard-poultry-06-22-outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-29"
        },
        {
          "@type": "Distribution",
          "title": "backyard-poultry-06-22-outbreak-Timeline",
          "description": "CDC data visualization titled backyard-poultry-06-22-outbreak-Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/backyard-poultry-06-22-outbreak-timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-29"
        },
        {
          "@type": "Distribution",
          "title": "bearded-dragons-01-22-Outbreak Map",
          "description": "CDC data visualization titled bearded-dragons-01-22-Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/bearded-dragons-01-22-outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-29"
        },
        {
          "@type": "Distribution",
          "title": "bearded-dragons-01-22-outbreak-Timeline",
          "description": "CDC data visualization titled bearded-dragons-01-22-outbreak-Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/bearded-dragons-01-22-outbreak-timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-29"
        },
        {
          "@type": "Distribution",
          "title": "bearded-dragons-10-22-Outbreak Map",
          "description": "CDC data visualization titled bearded-dragons-10-22-Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/bearded-dragons-10-22-outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-29"
        },
        {
          "@type": "Distribution",
          "title": "bearded-dragons-10-22-outbreak-Timeline",
          "description": "CDC data visualization titled bearded-dragons-10-22-outbreak-Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/bearded-dragons-10-22-outbreak-timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-29"
        },
        {
          "@type": "Distribution",
          "title": "cantaloupes-11-23-Outbreak Map",
          "description": "CDC data visualization titled cantaloupes-11-23-Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/cantaloupes-11-23-outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-10"
        },
        {
          "@type": "Distribution",
          "title": "cantaloupes-11-23-outbreak-timeline",
          "description": "CDC data visualization titled cantaloupes-11-23-outbreak-timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/cantaloupes-11-23-outbreak-timeline_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-10"
        },
        {
          "@type": "Distribution",
          "title": "cucumbers-11-22-outbreak-Timeline",
          "description": "CDC data visualization titled cucumbers-11-22-outbreak-Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/cucumbers-11-22-outbreak-timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-07"
        },
        {
          "@type": "Distribution",
          "title": "cucumbers-11-24-Outbreak Map",
          "description": "CDC data visualization titled cucumbers-11-24-Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/cucumbers-11-24-outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-01-08"
        },
        {
          "@type": "Distribution",
          "title": "diced-onion-10-24-Outbreak Map",
          "description": "CDC data visualization titled diced-onion-10-24-Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/diced-onion-10-24-outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-10"
        },
        {
          "@type": "Distribution",
          "title": "diced-onion-10-24-outbreak-timeline",
          "description": "CDC data visualization titled diced-onion-10-24-outbreak-timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/diced-onion-10-24-outbreak-timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-10"
        },
        {
          "@type": "Distribution",
          "title": "dog-food-10-23-Outbreak Map",
          "description": "CDC data visualization titled dog-food-10-23-Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/dog-food-10-23-outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-10"
        },
        {
          "@type": "Distribution",
          "title": "eggs-9-24-outbreak-map",
          "description": "CDC data visualization titled eggs-9-24-outbreak-map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/eggs-9-24-outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-17"
        },
        {
          "@type": "Distribution",
          "title": "eggs-9-24-outbreak-Timeline",
          "description": "CDC data visualization titled eggs-9-24-outbreak-Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/eggs-9-24-outbreak-timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-17"
        },
        {
          "@type": "Distribution",
          "title": "Enoki Mushrooms",
          "description": "CDC data visualization titled Enoki Mushrooms related to Foodborne Disease. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/enoki-mushrooms.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-25"
        },
        {
          "@type": "Distribution",
          "title": "Figure 10: Number of Illnesses Associated with Solved Multistate Foodborne Outbreaks, by Food Category, 2022",
          "description": "CDC data visualization titled Figure 10: Number of Illnesses Associated with Solved Multistate Foodborne Outbreaks, by Food Category, 2022 related to Foodborne Disease | Outbreaks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2022/figure-10-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-05"
        },
        {
          "@type": "Distribution",
          "title": "Figure 10: Solved Multistate Foodborne Outbreaks by Food Category, 2023",
          "description": "CDC data visualization titled Figure 10: Solved Multistate Foodborne Outbreaks by Food Category, 2023. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2023/figure-10-2023.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-16"
        },
        {
          "@type": "Distribution",
          "title": "Figure 10: Solved Multistate Foodborne Outbreaks by Food Category, 2024",
          "description": "CDC data visualization titled Figure 10: Solved Multistate Foodborne Outbreaks by Food Category, 2024. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2024/figure-10.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-31"
        },
        {
          "@type": "Distribution",
          "title": "Figure 11: Number of Illnesses Associated with Solved Multistate Foodborne Outbreaks, by Food Category, 2023",
          "description": "CDC data visualization titled Figure 11: Number of Illnesses Associated with Solved Multistate Foodborne Outbreaks, by Food Category, 2023. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2023/figure-11-2023.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-16"
        },
        {
          "@type": "Distribution",
          "title": "Figure 11: Number of Illnesses Associated with Solved Multistate Foodborne Outbreaks, by Food Category, 2024",
          "description": "CDC data visualization titled Figure 11: Number of Illnesses Associated with Solved Multistate Foodborne Outbreaks, by Food Category, 2024. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2024/figure-11.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-31"
        },
        {
          "@type": "Distribution",
          "title": "Figure 11: Total Number of Illnesses from Multistate Animal Contact Outbreaks linked to Backyard Poultry, 2016–2022",
          "description": "CDC data visualization titled Figure 11: Total Number of Illnesses from Multistate Animal Contact Outbreaks linked to Backyard Poultry, 2016–2022 related to Foodborne Disease | Outbreaks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2022/Figure-11-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-26"
        },
        {
          "@type": "Distribution",
          "title": "Figure 12: Number of Outbreaks Associated with Solved Multistate Animal Contact Outbreaks, by Animal Contact Category, 2022",
          "description": "CDC data visualization titled Figure 12: Number of Outbreaks Associated with Solved Multistate Animal Contact Outbreaks, by Animal Contact Category, 2022 related to Foodborne Disease | Outbreaks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2022/Figure-12-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-01"
        },
        {
          "@type": "Distribution",
          "title": "Figure 12: Percent of ill people in solved zoonotic outbreaks by reported ethnicity, 2023 (n=834)",
          "description": "CDC data visualization titled Figure 12: Percent of ill people in solved zoonotic outbreaks by reported ethnicity, 2023 (n=834). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2023/Figure-12-2023.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-16"
        },
        {
          "@type": "Distribution",
          "title": "Figure 12: Percent of Ill People in Solved Zoonotic Outbreaks by Reported Ethnicity, 2024 (n = 506)",
          "description": "CDC data visualization titled Figure 12: Percent of Ill People in Solved Zoonotic Outbreaks by Reported Ethnicity, 2024 (n = 506). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2024/Figure-12a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-20"
        },
        {
          "@type": "Distribution",
          "title": "Figure 13: Number of Illnesses Associated with Solved Multistate Animal Contact Outbreaks, by Animal Contact Category, 2022",
          "description": "CDC data visualization titled Figure 13: Number of Illnesses Associated with Solved Multistate Animal Contact Outbreaks, by Animal Contact Category, 2022 related to Foodborne Disease | Outbreaks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2022/Figure-13-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-01"
        },
        {
          "@type": "Distribution",
          "title": "Figure 13: Total Number of Illnesses from Multistate Animal Contact Outbreaks linked to Backyard Poultry, 2016–2023",
          "description": "CDC data visualization titled Figure 13: Total Number of Illnesses from Multistate Animal Contact Outbreaks linked to Backyard Poultry, 2016–2023. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2023/Figure-13-2023.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-30"
        },
        {
          "@type": "Distribution",
          "title": "Figure 13: Total Number of Illnesses from Multistate Animal Contact Outbreaks linked to Backyard Poultry, 2016–2024",
          "description": "CDC data visualization titled Figure 13: Total Number of Illnesses from Multistate Animal Contact Outbreaks linked to Backyard Poultry, 2016–2024. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2024/Figure-13.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-31"
        },
        {
          "@type": "Distribution",
          "title": "Figure 14: Number of Outbreaks Associated with Solved Multistate Animal Contact Outbreaks by Animal Contact Category, 2023",
          "description": "CDC data visualization titled Figure 14: Number of Outbreaks Associated with Solved Multistate Animal Contact Outbreaks by Animal Contact Category, 2023. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2023/Figure-14-2023.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-30"
        },
        {
          "@type": "Distribution",
          "title": "Figure 14: Number of Outbreaks Associated with Solved Multistate Animal Contact Outbreaks During 2024, by Animal Contact Category",
          "description": "CDC data visualization titled Figure 14: Number of Outbreaks Associated with Solved Multistate Animal Contact Outbreaks During 2024, by Animal Contact Category. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2024/Figure-14.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-31"
        },
        {
          "@type": "Distribution",
          "title": "Figure 15: Number of Illnesses Associated with Solved Multistate Animal Contact Outbreaks by Animal Contact Category, 2023",
          "description": "CDC data visualization titled Figure 15: Number of Illnesses Associated with Solved Multistate Animal Contact Outbreaks by Animal Contact Category, 2023. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2023/Figure-15-2023.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-30"
        },
        {
          "@type": "Distribution",
          "title": "Figure 15: Number of Illnesses Associated with Solved Multistate Animal Contact Outbreaks, by Animal Contact Category, 2024",
          "description": "CDC data visualization titled Figure 15: Number of Illnesses Associated with Solved Multistate Animal Contact Outbreaks, by Animal Contact Category, 2024. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2024/Figure-15.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-31"
        },
        {
          "@type": "Distribution",
          "title": "Figure 1: Number of Multistate Outbreaks Investigated by CDC, by Year and Pathogen, 2016–2023",
          "description": "CDC data visualization titled Figure 1: Number of Multistate Outbreaks Investigated by CDC, by Year and Pathogen, 2016–2023 related to Outbreaks | Foodborne diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2023/Figure-1-2023.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-18"
        },
        {
          "@type": "Distribution",
          "title": "Figure 1: Number of Multistate Outbreaks Investigated, by Year and Pathogen, 2016–2024",
          "description": "CDC data visualization titled Figure 1: Number of Multistate Outbreaks Investigated, by Year and Pathogen, 2016–2024 related to Outbreaks | Foodborne diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2024/Figure-1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-31"
        },
        {
          "@type": "Distribution",
          "title": "Figure 1: Number of Multistate Outbreaks Investigated, by Year and Pathogen, 2022",
          "description": "CDC data visualization titled Figure 1: Number of Multistate Outbreaks Investigated, by Year and Pathogen, 2022 related to Foodborne Disease | Outbreaks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2022/Figure-1-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-26"
        },
        {
          "@type": "Distribution",
          "title": "Figure 2: Solved Multistate Foodborne and Animal Contact Outbreaks, 2016–2022",
          "description": "CDC data visualization titled Figure 2: Solved Multistate Foodborne and Animal Contact Outbreaks, 2016–2022 related to Foodborne Disease | Outbreaks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2022/Figure-2-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-05"
        },
        {
          "@type": "Distribution",
          "title": "Figure 2: Solved Multistate Foodborne and Animal Contact Outbreaks, 2016–2023",
          "description": "CDC data visualization titled Figure 2: Solved Multistate Foodborne and Animal Contact Outbreaks, 2016–2023. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2023/figure-2-2023.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-04"
        },
        {
          "@type": "Distribution",
          "title": "Figure 2: Solved Multistate Foodborne and Animal Contact Outbreaks, 2016–2024",
          "description": "CDC data visualization titled Figure 2: Solved Multistate Foodborne and Animal Contact Outbreaks, 2016–2024. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2024/figure-2.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-31"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3: Illnesses in Solved Multistate Foodborne and Animal Contact Outbreaks, 2016–2022",
          "description": "CDC data visualization titled Figure 3: Illnesses in Solved Multistate Foodborne and Animal Contact Outbreaks, 2016–2022 related to Foodborne Disease | Outbreaks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2022/figure-3-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-26"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3: Illnesses in Solved Multistate Foodborne and Animal Contact Outbreaks, 2016–2023",
          "description": "CDC data visualization titled Figure 3: Illnesses in Solved Multistate Foodborne and Animal Contact Outbreaks, 2016–2023. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2023/figure-3-2023.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-15"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3: Illnesses in Solved Multistate Foodborne and Animal Contact Outbreaks, 2016–2024",
          "description": "CDC data visualization titled Figure 3: Illnesses in Solved Multistate Foodborne and Animal Contact Outbreaks, 2016–2024. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2024/figure-3.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-31"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4: Solved Multistate Foodborne Outbreaks, by Year and Pathogen, 2016–2022",
          "description": "CDC data visualization titled Figure 4: Solved Multistate Foodborne Outbreaks, by Year and Pathogen, 2016–2022 related to Foodborne Disease | Outbreaks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2022/Figure-4-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-05"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4: Solved Multistate Foodborne Outbreaks, by Year and Pathogen, 2016–2023",
          "description": "CDC data visualization titled Figure 4: Solved Multistate Foodborne Outbreaks, by Year and Pathogen, 2016–2023. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2023/Figure-4-2023.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-16"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4: Solved Multistate Foodborne Outbreaks, by Year and Pathogen, 2016–2024",
          "description": "CDC data visualization titled Figure 4: Solved Multistate Foodborne Outbreaks, by Year and Pathogen, 2016–2024. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2024/Figure-4.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-31"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5: Percent of ill people in solved foodborne outbreaks by reported race and ethnicity (n=949)",
          "description": "CDC data visualization titled Figure 5: Percent of ill people in solved foodborne outbreaks by reported race and ethnicity (n=949). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2023/Figure-5-2023.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-16"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5: Percent of Ill People in Solved Foodborne Outbreaks by Reported Race and Ethnicity, 2024 (n = 1,187)",
          "description": "CDC data visualization titled Figure 5: Percent of Ill People in Solved Foodborne Outbreaks by Reported Race and Ethnicity, 2024 (n = 1,187). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2024/Figure-5.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-14"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5: Solved Multistate Foodborne Outbreaks, by Pathogen, 2022",
          "description": "CDC data visualization titled Figure 5: Solved Multistate Foodborne Outbreaks, by Pathogen, 2022 related to Foodborne Disease | Outbreaks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2022/Figure-5-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-06"
        },
        {
          "@type": "Distribution",
          "title": "Figure 6: Illnesses in Solved Multistate Foodborne Outbreaks, 2022",
          "description": "CDC data visualization titled Figure 6: Illnesses in Solved Multistate Foodborne Outbreaks, 2022 related to Foodborne Disease | Outbreaks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2022/Figure-6-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-26"
        },
        {
          "@type": "Distribution",
          "title": "Figure 6: Solved Multistate Foodborne Outbreaks by Pathogen, 2023",
          "description": "CDC data visualization titled Figure 6: Solved Multistate Foodborne Outbreaks by Pathogen, 2023. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2023/Figure-6-2023.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-16"
        },
        {
          "@type": "Distribution",
          "title": "Figure 6: Solved Multistate Foodborne Outbreaks during 2024, by Pathogen",
          "description": "CDC data visualization titled Figure 6: Solved Multistate Foodborne Outbreaks during 2024, by Pathogen. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2024/Figure-6.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-31"
        },
        {
          "@type": "Distribution",
          "title": "Figure 7: Hospitalizations in Solved Foodborne Outbreaks, 2022",
          "description": "CDC data visualization titled Figure 7: Hospitalizations in Solved Foodborne Outbreaks, 2022 related to Foodborne Disease | Outbreaks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2022/Figure-7-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-26"
        },
        {
          "@type": "Distribution",
          "title": "Figure 7: Illnesses in Solved Multistate Foodborne Outbreaks, 2023",
          "description": "CDC data visualization titled Figure 7: Illnesses in Solved Multistate Foodborne Outbreaks, 2023. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2023/Figure-7-2023.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-18"
        },
        {
          "@type": "Distribution",
          "title": "Figure 7: Illnesses in Solved Multistate Foodborne Outbreaks, 2024",
          "description": "CDC data visualization titled Figure 7: Illnesses in Solved Multistate Foodborne Outbreaks, 2024. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2024/Figure-7.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-31"
        },
        {
          "@type": "Distribution",
          "title": "Figure 8: Hospitalizations in Solved Foodborne Outbreaks, 2023",
          "description": "CDC data visualization titled Figure 8: Hospitalizations in Solved Foodborne Outbreaks, 2023. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2023/Figure-8-2023.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-18"
        },
        {
          "@type": "Distribution",
          "title": "Figure 8: Hospitalizations in Solved Foodborne Outbreaks, 2024",
          "description": "CDC data visualization titled Figure 8: Hospitalizations in Solved Foodborne Outbreaks, 2024. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2024/Figure-8.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-31"
        },
        {
          "@type": "Distribution",
          "title": "Figure 8: Percentage of Ill People that were Hospitalized in Solved Foodborne Outbreaks, by Pathogen, 2022",
          "description": "CDC data visualization titled Figure 8: Percentage of Ill People that were Hospitalized in Solved Foodborne Outbreaks, by Pathogen, 2022 related to Foodborne Disease | Outbreaks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2022/Figure-8-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-26"
        },
        {
          "@type": "Distribution",
          "title": "Figure 9: Percentage of Ill People that were Hospitalized in Solved Foodborne Outbreaks, by Pathogen during 2024",
          "description": "CDC data visualization titled Figure 9: Percentage of Ill People that were Hospitalized in Solved Foodborne Outbreaks, by Pathogen during 2024. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2024/Figure-9a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-31"
        },
        {
          "@type": "Distribution",
          "title": "Figure 9: Solved Multistate Foodborne Outbreaks by Food Category, 2022",
          "description": "CDC data visualization titled Figure 9: Solved Multistate Foodborne Outbreaks by Food Category, 2022 related to Foodborne Disease | Outbreaks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2022/Figure-9-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-05"
        },
        {
          "@type": "Distribution",
          "title": "Figure 9:Percent of Ill People Hospitalized in Solved Foodborne Outbreaks by Pathogen, 2023",
          "description": "CDC data visualization titled Figure 9:Percent of Ill People Hospitalized in Solved Foodborne Outbreaks by Pathogen, 2023. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2023/Figure-9-2023.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-30"
        },
        {
          "@type": "Distribution",
          "title": "Food Outbreaks 2018",
          "description": "CDC data visualization titled Food Outbreaks 2018 related to National Outbreak Reporting System. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/nors/reports/modules/food-outbreak-2018-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-25"
        },
        {
          "@type": "Distribution",
          "title": "Food Outbreaks 2019",
          "description": "CDC data visualization titled Food Outbreaks 2019 related to National Outbreak Reporting System. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/nors/reports/modules/food-outbreak-2019-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-24"
        },
        {
          "@type": "Distribution",
          "title": "Hospitalizations in Solved Foodborne Outbreaks, 2021",
          "description": "CDC data visualization titled Hospitalizations in Solved Foodborne Outbreaks, 2021. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/chart-7.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "IFSAC Dashboard 2 Filter",
          "description": "CDC data visualization titled IFSAC Dashboard 2 Filter. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2017-2020/ifsac-dashboard-2-filter.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Illness in Multistate Foodborne and Animal Contact Outbreaks during 2017–2020",
          "description": "CDC data visualization titled Illness in Multistate Foodborne and Animal Contact Outbreaks during 2017–2020. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2017-2020/chart-3.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Illness in Multistate Foodborne and Animal Contact Outbreaks during 2017–2020",
          "description": "CDC data visualization titled Illness in Multistate Foodborne and Animal Contact Outbreaks during 2017–2020. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/chart-3.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Illnesses in Solved Foodborne Outbreaks",
          "description": "CDC data visualization titled Illnesses in Solved Foodborne Outbreaks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2017-2020/chart-5.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Illnesses in Solved Multistate Foodborne Outbreaks, 2021",
          "description": "CDC data visualization titled Illnesses in Solved Multistate Foodborne Outbreaks, 2021. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/chart-6.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "map",
          "description": "CDC data visualization titled map related to E. coli Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/ecoli/media/modules/map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-01"
        },
        {
          "@type": "Distribution",
          "title": "Map - Burgers 2024",
          "description": "CDC data visualization titled Map - Burgers 2024 related to E. coli Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/ecoli/media/modules/map-burgers-2024.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-02"
        },
        {
          "@type": "Distribution",
          "title": "Map - Ecoli Outbreak, July 2026",
          "description": "CDC data visualization titled Map - Ecoli Outbreak, July 2026 related to E. coli Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/ecoli/outbreaks/blueberries-07-26/modules/map-ecoli-july-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-06"
        },
        {
          "@type": "Distribution",
          "title": "Map - Ecoli Outbreak, March 2026",
          "description": "CDC data visualization titled Map - Ecoli Outbreak, March 2026 related to E. coli Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/ecoli/outbreaks/rawcheese-03-26/modules/map-ecoli-march-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-24"
        },
        {
          "@type": "Distribution",
          "title": "Map - Moringa Outbreak, May 2026",
          "description": "CDC data visualization titled Map - Moringa Outbreak, May 2026 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/moringa-05-26/modules/map-moringa-may-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-14"
        },
        {
          "@type": "Distribution",
          "title": "Map - Organic Carrots 2024",
          "description": "CDC data visualization titled Map - Organic Carrots 2024 related to E. coli Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/ecoli/media/modules/map-orgainc-carrots-2024.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-17"
        },
        {
          "@type": "Distribution",
          "title": "Map - Organic Walnut",
          "description": "CDC data visualization titled Map - Organic Walnut related to E. coli Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/ecoli/media/modules/map-organic-walnut.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-07-09"
        },
        {
          "@type": "Distribution",
          "title": "Map - Salmonella Outbreak, April 2025",
          "description": "CDC data visualization titled Map - Salmonella Outbreak, April 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/mbandaka-05-01/modules/map-salmonella-april-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-29"
        },
        {
          "@type": "Distribution",
          "title": "Map - Salmonella Outbreak, August 2025",
          "description": "CDC data visualization titled Map - Salmonella Outbreak, August 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/eggs-08-25/modules/map-salmonella-august-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-11-20"
        },
        {
          "@type": "Distribution",
          "title": "Map - Salmonella Outbreak, December 2025",
          "description": "CDC data visualization titled Map - Salmonella Outbreak, December 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/oysters-12-25/modules/map-salmonella-dec-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-02-17"
        },
        {
          "@type": "Distribution",
          "title": "Map - Salmonella Outbreak, February 2026",
          "description": "CDC data visualization titled Map - Salmonella Outbreak, February 2026 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/moringacapsules-02-26/modules/map-salmonella-feb-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-14"
        },
        {
          "@type": "Distribution",
          "title": "Map - Salmonella Outbreak, January 2026",
          "description": "CDC data visualization titled Map - Salmonella Outbreak, January 2026 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/supergreenssupplementpowders-1-26/modules/map-salmonella-jan-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-22"
        },
        {
          "@type": "Distribution",
          "title": "Map - Salmonella Outbreak, July 2025",
          "description": "CDC data visualization titled Map - Salmonella Outbreak, July 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/sproutedbeans-07-25/modules/map-salmonella-july-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-24"
        },
        {
          "@type": "Distribution",
          "title": "Map - Salmonella Outbreak, July 2026",
          "description": "CDC data visualization titled Map - Salmonella Outbreak, July 2026 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/shell-eggs-07-26/modules/map-salmonella-july-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-24"
        },
        {
          "@type": "Distribution",
          "title": "Map - Salmonella Outbreak, June 2025",
          "description": "CDC data visualization titled Map - Salmonella Outbreak, June 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/eggs-06-25/modules/map-salmonella-june-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-09"
        },
        {
          "@type": "Distribution",
          "title": "Map - Salmonella Outbreak, June 2025",
          "description": "CDC data visualization titled Map - Salmonella Outbreak, June 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/pistachiocream-06-25/module/map-salmonella-june-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-13"
        },
        {
          "@type": "Distribution",
          "title": "Map - Salmonella Outbreak, March 2025",
          "description": "CDC data visualization titled Map - Salmonella Outbreak, March 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/muenchen-03-25/modules/map-salmonella-march-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-01-09"
        },
        {
          "@type": "Distribution",
          "title": "Map - Salmonella Outbreak, May 2025",
          "description": "CDC data visualization titled Map - Salmonella Outbreak, May 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/whole-cucumbers-05-25/modules/map-salmonella-may-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-30"
        },
        {
          "@type": "Distribution",
          "title": "Map - Salmonella Outbreak, May 2026",
          "description": "CDC data visualization titled Map - Salmonella Outbreak, May 2026 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/chameleons-05-26/modules/map-salmonella-may-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-05-06"
        },
        {
          "@type": "Distribution",
          "title": "Map - Salmonella Outbreak, May 2026",
          "description": "CDC data visualization titled Map - Salmonella Outbreak, May 2026 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/saintpaul-04-26/modules/map-salmonella-may-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-23"
        },
        {
          "@type": "Distribution",
          "title": "Map - Salmonella Outbreak, November 2025",
          "description": "CDC data visualization titled Map - Salmonella Outbreak, November 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/cotham-11-25/modules/map-salmonella-nov-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-18"
        },
        {
          "@type": "Distribution",
          "title": "Map - Salmonella Outbreak, October 2025",
          "description": "CDC data visualization titled Map - Salmonella Outbreak, October 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/supplement-10-25/modules/map-salmonella-oct-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-10-31"
        },
        {
          "@type": "Distribution",
          "title": "Map - Salmonella Outbreak, September 2025",
          "description": "CDC data visualization titled Map - Salmonella Outbreak, September 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/homedeliverymeals-09-25/modules/map-salmonella-september-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-11-20"
        },
        {
          "@type": "Distribution",
          "title": "Multistate Foodborne Outbreaks During 2017–2020, By Year and Pathogen",
          "description": "CDC data visualization titled Multistate Foodborne Outbreaks During 2017–2020, By Year and Pathogen. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2017-2020/chart-4.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Multistate Foodborne Outbreaks During 2017–2020, By Year and Pathogen",
          "description": "CDC data visualization titled Multistate Foodborne Outbreaks During 2017–2020, By Year and Pathogen. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/chart-4.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "NARMS",
          "description": "CDC data visualization titled NARMS related to E. coli Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/ecoli/media/modules/narms.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-02"
        },
        {
          "@type": "Distribution",
          "title": "National Outbreak Reporting System (NORS) data page",
          "description": "Public outputs are surfaced through BEAM and Data.CDC.gov.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "Number of Illnesses Associated with Solved Multistate Foodborne Outbreaks, by Food Category, 2021",
          "description": "CDC data visualization titled Number of Illnesses Associated with Solved Multistate Foodborne Outbreaks, by Food Category, 2021. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/chart-10.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Number of Illnesses in Solved Multistate Salmonella Animal Contact Outbreaks, by Animal Contact Category",
          "description": "CDC data visualization titled Number of Illnesses in Solved Multistate Salmonella Animal Contact Outbreaks, by Animal Contact Category. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2017-2020/chart-13.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Number of Illnesses in Solved Multistate Salmonella Animal Contact Outbreaks, by Animal Contact Category",
          "description": "CDC data visualization titled Number of Illnesses in Solved Multistate Salmonella Animal Contact Outbreaks, by Animal Contact Category. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/chart-14.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Number of Multistate Outbreaks Investigated, by Year and Pathogen",
          "description": "CDC data visualization titled Number of Multistate Outbreaks Investigated, by Year and Pathogen. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2017-2020/chart-1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Number of Multistate Outbreaks Investigated, by Year and Pathogen",
          "description": "CDC data visualization titled Number of Multistate Outbreaks Investigated, by Year and Pathogen. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/chart-1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Number of Solved Multistate Salmonella Animal Contact Outbreaks, by Animal Contact Category",
          "description": "CDC data visualization titled Number of Solved Multistate Salmonella Animal Contact Outbreaks, by Animal Contact Category. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2017-2020/chart-12.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Number of Solved Multistate Salmonella Animal Contact Outbreaks, by Animal Contact Category",
          "description": "CDC data visualization titled Number of Solved Multistate Salmonella Animal Contact Outbreaks, by Animal Contact Category. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/chart-13.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "ORPB food category dashboard",
          "description": "CDC data visualization titled ORPB food category dashboard. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/chart-11.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to E. coli Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/ecoli/raw-milk-cheese-2-24/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-26"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/basil-04-24/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-18"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/charcuterie-meats-01-24/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-28"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/cotham-06-24/esp/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-20"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/cotham-06-24/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-12"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/enteritidis-05-23/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-07-13"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/infantis-03-23/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-06-07"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/typhimurium-12-22/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-18"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/saintpaul-07-23/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-08-23"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/turtles-08-23/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-11-21"
        },
        {
          "@type": "Distribution",
          "title": "Outbreak Map",
          "description": "CDC data visualization titled Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/typhimurium-12-22/modules/outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-02-28"
        },
        {
          "@type": "Distribution",
          "title": "outbreak-map",
          "description": "CDC data visualization titled outbreak-map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/africana-06-24/modules/map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-22"
        },
        {
          "@type": "Distribution",
          "title": "outbreak-map",
          "description": "CDC data visualization titled outbreak-map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/backyardpoultry-05-23/modules/map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-10-19"
        },
        {
          "@type": "Distribution",
          "title": "outbreak-map",
          "description": "CDC data visualization titled outbreak-map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/backyardpoultry-05-24/modules/map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-21"
        },
        {
          "@type": "Distribution",
          "title": "outbreak-map",
          "description": "CDC data visualization titled outbreak-map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/eggs-09-24/modules/map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-06"
        },
        {
          "@type": "Distribution",
          "title": "outbreak-map",
          "description": "CDC data visualization titled outbreak-map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/turtles-08-24/modules/map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-03"
        },
        {
          "@type": "Distribution",
          "title": "outbreak-map-es",
          "description": "CDC data visualization titled outbreak-map-es related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/turtles-08-24/es/modules/map-es.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-22"
        },
        {
          "@type": "Distribution",
          "title": "peanut-butter-05-22-Outbreak Map",
          "description": "CDC data visualization titled peanut-butter-05-22-Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/peanut-butter-05-22-outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-29"
        },
        {
          "@type": "Distribution",
          "title": "peanut-butter-05-22-outbreak-Timeline",
          "description": "CDC data visualization titled peanut-butter-05-22-outbreak-Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/peanut-butter-05-22-outbreak-timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-29"
        },
        {
          "@type": "Distribution",
          "title": "Percent of Ill People Hospitalized in Solved Multistate Foodborne Outbreaks, by Pathogen",
          "description": "CDC data visualization titled Percent of Ill People Hospitalized in Solved Multistate Foodborne Outbreaks, by Pathogen. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2017-2020/chart-7.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Percentage of Ill People Hospitalized in Solved Multistate Foodborne Outbreaks, by Pathogen, 2021",
          "description": "CDC data visualization titled Percentage of Ill People Hospitalized in Solved Multistate Foodborne Outbreaks, by Pathogen, 2021. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/chart-8.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Raw Cheddar Cheese Timeline",
          "description": "CDC data visualization titled Raw Cheddar Cheese Timeline related to E. coli Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/ecoli/media/modules/raw-cheddar-cheese-timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-07-02"
        },
        {
          "@type": "Distribution",
          "title": "REPDBR01 illnesses",
          "description": "CDC data visualization titled REPDBR01 illnesses related to Campylobacteriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/campylobacter/modules/repd-illnesses-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-25"
        },
        {
          "@type": "Distribution",
          "title": "REPDPBR01 Timeline",
          "description": "CDC data visualization titled REPDPBR01 Timeline related to Campylobacteriosis. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/campylobacter/modules/REPDPBR01_timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-04"
        },
        {
          "@type": "Distribution",
          "title": "REPEXH01 Epi - NEW",
          "description": "CDC data visualization titled REPEXH01 Epi - NEW related to E. coli Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/ecoli/media/modules/repexh01-epi-new.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-08"
        },
        {
          "@type": "Distribution",
          "title": "REPJJP01 AR isolates",
          "description": "CDC data visualization titled REPJJP01 AR isolates related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/REPJJP01-AR-isolates.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-22"
        },
        {
          "@type": "Distribution",
          "title": "REPJJP01 when people got sick - new",
          "description": "CDC data visualization titled REPJJP01 when people got sick - new related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/modules/REPJJP01-when-people-got-sick-new.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-22"
        },
        {
          "@type": "Distribution",
          "title": "repjjp01 where sick people live-2",
          "description": "CDC data visualization titled repjjp01 where sick people live-2 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/repjjp01-where-sick-people-live-2.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-22"
        },
        {
          "@type": "Distribution",
          "title": "reptdk01-map",
          "description": "CDC data visualization titled reptdk01-map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/reptdk01-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-10"
        },
        {
          "@type": "Distribution",
          "title": "reptdk01-NARMS",
          "description": "CDC data visualization titled reptdk01-NARMS related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/reptdk01-narms.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-09"
        },
        {
          "@type": "Distribution",
          "title": "reptdk01-timeline",
          "description": "CDC data visualization titled reptdk01-timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/reptdk01-timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-21"
        },
        {
          "@type": "Distribution",
          "title": "salmonella onions",
          "description": "CDC data visualization titled salmonella onions related to Foodborne Disease. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/salmonella-onions.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-25"
        },
        {
          "@type": "Distribution",
          "title": "seafood",
          "description": "CDC data visualization titled seafood related to Foodborne Disease. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/seafood.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-25"
        },
        {
          "@type": "Distribution",
          "title": "Solved Multistate Foodborne Outbreaks by Food Category, 2021",
          "description": "CDC data visualization titled Solved Multistate Foodborne Outbreaks by Food Category, 2021. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/chart-9.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Solved Multistate Foodborne Outbreaks, by Pathogen, 2021",
          "description": "CDC data visualization titled Solved Multistate Foodborne Outbreaks, by Pathogen, 2021. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/chart-5.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Timeline",
          "description": "CDC data visualization titled Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/africana-06-24/modules/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-22"
        },
        {
          "@type": "Distribution",
          "title": "Timeline",
          "description": "CDC data visualization titled Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/backyardpoultry-05-24/modules/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-21"
        },
        {
          "@type": "Distribution",
          "title": "Timeline",
          "description": "CDC data visualization titled Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/cotham-06-24/modules/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-12"
        },
        {
          "@type": "Distribution",
          "title": "Timeline",
          "description": "CDC data visualization titled Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/eggs-09-24/modules/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-06"
        },
        {
          "@type": "Distribution",
          "title": "Timeline",
          "description": "CDC data visualization titled Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/backyard-poultry-05-23/modules/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-19"
        },
        {
          "@type": "Distribution",
          "title": "Timeline",
          "description": "CDC data visualization titled Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/dog-food-10-23/modules/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-09"
        },
        {
          "@type": "Distribution",
          "title": "Timeline",
          "description": "CDC data visualization titled Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/enteritidis-05-23/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-18"
        },
        {
          "@type": "Distribution",
          "title": "Timeline",
          "description": "CDC data visualization titled Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/infantis-03-23/modules/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-19"
        },
        {
          "@type": "Distribution",
          "title": "Timeline",
          "description": "CDC data visualization titled Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/saintpaul-07-23/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-24"
        },
        {
          "@type": "Distribution",
          "title": "Timeline",
          "description": "CDC data visualization titled Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/turtles-08-23/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-24"
        },
        {
          "@type": "Distribution",
          "title": "Timeline",
          "description": "CDC data visualization titled Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/typhimurium-12-22/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-24"
        },
        {
          "@type": "Distribution",
          "title": "Timeline",
          "description": "CDC data visualization titled Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/turtles-08-24/modules/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-03"
        },
        {
          "@type": "Distribution",
          "title": "Timeline (new) - Salmonella Outbreak, January 2026",
          "description": "CDC data visualization titled Timeline (new) - Salmonella Outbreak, January 2026 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/supergreenssupplementpowders-1-26/modules/timeline-new.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-05-27"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Burgers 2024",
          "description": "CDC data visualization titled Timeline - Burgers 2024 related to E. coli Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/ecoli/media/modules/timeline-burgers-2024.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-02"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Ecoli Outbreak, July 2026",
          "description": "CDC data visualization titled Timeline - Ecoli Outbreak, July 2026 related to E. coli Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/ecoli/outbreaks/blueberries-07-26/modules/timeline-ecoli-july-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-06"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Moringa Outbreak, May 2026",
          "description": "CDC data visualization titled Timeline - Moringa Outbreak, May 2026 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/moringa-05-26/modules/timeline-moringa-may-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-16"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Organic Carrots 2024",
          "description": "CDC data visualization titled Timeline - Organic Carrots 2024 related to E. coli Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/ecoli/media/modules/timeline-organic-carrots-2024.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-17"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Organic Walnut",
          "description": "CDC data visualization titled Timeline - Organic Walnut related to E. coli Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/ecoli/media/modules/timeline-organic-walnut.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-07-09"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Salmonella Outbreak, April 2025",
          "description": "CDC data visualization titled Timeline - Salmonella Outbreak, April 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/mbandaka-05-01/modules/timeline-salmonella-april-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-29"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Salmonella Outbreak, August 2025",
          "description": "CDC data visualization titled Timeline - Salmonella Outbreak, August 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/eggs-08-25/modules/timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-11-20"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Salmonella Outbreak, December 2025",
          "description": "CDC data visualization titled Timeline - Salmonella Outbreak, December 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/oysters-12-25/modules/timeline-salmonella-dec-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-02-17"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Salmonella Outbreak, February 2026",
          "description": "CDC data visualization titled Timeline - Salmonella Outbreak, February 2026 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/moringacapsules-02-26/modules/timeline-salmonella-feb-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-14"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Salmonella Outbreak, January 2026",
          "description": "CDC data visualization titled Timeline - Salmonella Outbreak, January 2026 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/supergreenssupplementpowders-1-26/modules/timeline-salmonella-jan-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-22"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Salmonella Outbreak, July 2025",
          "description": "CDC data visualization titled Timeline - Salmonella Outbreak, July 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/sproutedbeans-07-25/modules/timeline-salmonella-july-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-24"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Salmonella Outbreak, July 2026",
          "description": "CDC data visualization titled Timeline - Salmonella Outbreak, July 2026 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/shell-eggs-07-26/modules/timeline-salmonella-july-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-24"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Salmonella Outbreak, June 2025",
          "description": "CDC data visualization titled Timeline - Salmonella Outbreak, June 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/eggs-06-25/modules/timeline-salmonella-june-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-09"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Salmonella Outbreak, June 2025",
          "description": "CDC data visualization titled Timeline - Salmonella Outbreak, June 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/pistachiocream-06-25/module/timeline-salmonella-june-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-13"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Salmonella Outbreak, March 2025",
          "description": "CDC data visualization titled Timeline - Salmonella Outbreak, March 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/muenchen-03-25/modules/timeline-salmonella-march-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-01-09"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Salmonella Outbreak, March 2026",
          "description": "CDC data visualization titled Timeline - Salmonella Outbreak, March 2026 related to E. coli Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/ecoli/outbreaks/rawcheese-03-26/modules/timeline-ecoli-march-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-26"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Salmonella Outbreak, May 2025",
          "description": "CDC data visualization titled Timeline - Salmonella Outbreak, May 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/whole-cucumbers-05-25/modules/timeline-salmonella-may-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-27"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Salmonella Outbreak, May 2026",
          "description": "CDC data visualization titled Timeline - Salmonella Outbreak, May 2026 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/chameleons-05-26/modules/timeline-salmonella-may-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-05-07"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Salmonella Outbreak, May 2026",
          "description": "CDC data visualization titled Timeline - Salmonella Outbreak, May 2026 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/saintpaul-04-26/modules/timeline-salmonella-may-2026.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-23"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Salmonella Outbreak, November 2025",
          "description": "CDC data visualization titled Timeline - Salmonella Outbreak, November 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/cotham-11-25/modules/timeline-salmonella-nov-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-18"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Salmonella Outbreak, October 2025",
          "description": "CDC data visualization titled Timeline - Salmonella Outbreak, October 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/supplement-10-25/modules/timeline-salmonella-oct-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-10-28"
        },
        {
          "@type": "Distribution",
          "title": "Timeline - Salmonella Outbreak, September 2025",
          "description": "CDC data visualization titled Timeline - Salmonella Outbreak, September 2025 related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/outbreaks/homedeliverymeals-09-25/modules/timeline-salmonella-september-2025.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-11-20"
        },
        {
          "@type": "Distribution",
          "title": "timeline-charcuterie",
          "description": "CDC data visualization titled timeline-charcuterie related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/charcuterie-meats-01-24/modules/timeline-charcuterie.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-10"
        },
        {
          "@type": "Distribution",
          "title": "Timeline-es",
          "description": "CDC data visualization titled Timeline-es related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/turtles-08-24/es/modules/timeline-es.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-22"
        },
        {
          "@type": "Distribution",
          "title": "timeline-test",
          "description": "CDC data visualization titled timeline-test related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/basil-04-24/modules/timeline-test.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-10"
        },
        {
          "@type": "Distribution",
          "title": "timeline-test",
          "description": "CDC data visualization titled timeline-test related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/cotham-06-24/esp/modules/timeline-test.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-20"
        },
        {
          "@type": "Distribution",
          "title": "Total Number of Illnesses from Multistate Animal Contact Outbreaks Linked to Backyard Poultry 2017–2020",
          "description": "CDC data visualization titled Total Number of Illnesses from Multistate Animal Contact Outbreaks Linked to Backyard Poultry 2017–2020. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2017-2020/chart-11.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Total Number of Illnesses from Multistate Animal Contact Outbreaks Linked to Backyard Poultry, 2016–2021",
          "description": "CDC data visualization titled Total Number of Illnesses from Multistate Animal Contact Outbreaks Linked to Backyard Poultry, 2016–2021. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/chart-12.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Total Solved Foodborne vs Zoonotic Outbreaks by Year",
          "description": "CDC data visualization titled Total Solved Foodborne vs Zoonotic Outbreaks by Year. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/2017-2020/chart-2.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "Total Solved Foodborne vs Zoonotic Outbreaks by Year",
          "description": "CDC data visualization titled Total Solved Foodborne vs Zoonotic Outbreaks by Year. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/foodborne-outbreaks/media/visualizations/chart-2.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-05-03"
        },
        {
          "@type": "Distribution",
          "title": "turtles-7-22-Outbreak Map",
          "description": "CDC data visualization titled turtles-7-22-Outbreak Map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/turtles-7-22-outbreak-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-29"
        },
        {
          "@type": "Distribution",
          "title": "turtles-7-22-outbreak-Timeline",
          "description": "CDC data visualization titled turtles-7-22-outbreak-Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/turtles-7-22-outbreak-timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-29"
        },
        {
          "@type": "Distribution",
          "title": "turtles-8-24-outbreak-map",
          "description": "CDC data visualization titled turtles-8-24-outbreak-map related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/turtles-8-24-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-09"
        },
        {
          "@type": "Distribution",
          "title": "turtles-8-24-Timeline",
          "description": "CDC data visualization titled turtles-8-24-Timeline related to Salmonella. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nors/data/",
          "downloadURL": "https://www.cdc.gov/salmonella/media/map-and-epi-curve-visualizations/turtles-8-24-timeline.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-09"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/nwss/",
      "title": "CDC Wastewater Monitoring / NWSS",
      "description": "Public CDC platform / portal providing data or related information for Wastewater surveillance. Source inventory cadence or coverage note: Generally weekly.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Wastewater Surveillance System (NWSS)",
          "hasEmail": "mailto:NWSS@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Infectious Disease Readiness and Innovation (DIDRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Wastewater surveillance"
        }
      ],
      "keyword": [
        "Wastewater surveillance",
        "Platform / portal",
        "DIDRI"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nwss/",
        "title": "CDC Wastewater Monitoring / NWSS"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Avian Influenza A(H5) Wastewater Data",
          "description": "Access point for Avian Influenza A(H5) Wastewater Data.",
          "accessURL": "https://www.cdc.gov/wastewater/emerging-viruses/h5.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "CDC Wastewater Monitoring / NWSS",
          "description": "Access point for CDC Wastewater Monitoring / NWSS.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "CDC Wastewater Monitoring / NWSS related resource",
          "description": "Access point for CDC Wastewater Monitoring / NWSS.",
          "accessURL": "https://www.cdc.gov/nwss/about-data.html",
          "format": "Web resource"
        },
        {
          "@type": "Distribution",
          "title": "Clade I",
          "description": "CDC data visualization titled Clade I. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/modules/dataviz-mpox/clade-1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-21"
        },
        {
          "@type": "Distribution",
          "title": "Clade I",
          "description": "CDC data visualization titled Clade I. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/mpox/clade-1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-18"
        },
        {
          "@type": "Distribution",
          "title": "Clade II",
          "description": "CDC data visualization titled Clade II. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/modules/dataviz-mpox/clade-2.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-21"
        },
        {
          "@type": "Distribution",
          "title": "Clade II",
          "description": "CDC data visualization titled Clade II. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/mpox/clade-2.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-02-12"
        },
        {
          "@type": "Distribution",
          "title": "CoE Regional Jurisdictions",
          "description": "CDC data visualization titled CoE Regional Jurisdictions. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/wastewater-surveillance/dataviz/coe-regional-jurisdictions.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-02-19"
        },
        {
          "@type": "Distribution",
          "title": "CoE Regional Jurisdictions",
          "description": "CDC data visualization titled CoE Regional Jurisdictions. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/coe-regional-jurisdictions.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-26"
        },
        {
          "@type": "Distribution",
          "title": "covid time period state map",
          "description": "CDC data visualization titled covid time period state map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/sc2/covid-time-period-state-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-16"
        },
        {
          "@type": "Distribution",
          "title": "covid time period state map - home",
          "description": "CDC data visualization titled covid time period state map - home. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/sc2/covid-time-period-state-map-home.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-14"
        },
        {
          "@type": "Distribution",
          "title": "Covid Top modules",
          "description": "CDC data visualization titled Covid Top modules. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/sc2/covid-top-modules.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-01-28"
        },
        {
          "@type": "Distribution",
          "title": "Covid Top modules",
          "description": "CDC data visualization titled Covid Top modules. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/top-modules.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-18"
        },
        {
          "@type": "Distribution",
          "title": "Covid Variant Dashboard",
          "description": "CDC data visualization titled Covid Variant Dashboard. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/sc2/covid-variant-dashboard.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-07"
        },
        {
          "@type": "Distribution",
          "title": "Covid Variant Dashboard",
          "description": "CDC data visualization titled Covid Variant Dashboard. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/covid-variant-dashboard.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-05"
        },
        {
          "@type": "Distribution",
          "title": "Covid-19",
          "description": "CDC data visualization titled Covid-19 related to Data & Statistics. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/covid-19_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-19"
        },
        {
          "@type": "Distribution",
          "title": "COVID-19 Wastewater Data",
          "description": "Access point for COVID-19 Wastewater Data.",
          "accessURL": "https://www.cdc.gov/nwss/rv/covid19-national-data.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "covid-19-databite",
          "description": "CDC data visualization titled covid-19-databite. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/sc2/covid-19-databite.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-18"
        },
        {
          "@type": "Distribution",
          "title": "covid-19-national-and-regional-trends-dashboard.json",
          "description": "CDC data visualization titled covid-19-national-and-regional-trends-dashboard.json. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/sc2/covid-19-national-and-regional-trends-dashboard-json.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-29"
        },
        {
          "@type": "Distribution",
          "title": "covid-19-national-and-regional-trends.json",
          "description": "CDC data visualization titled covid-19-national-and-regional-trends.json. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/sc2/covid-19-national-and-regional-trends.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-10"
        },
        {
          "@type": "Distribution",
          "title": "covid-19-state-level-dashbaord.json",
          "description": "CDC data visualization titled covid-19-state-level-dashbaord.json. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/sc2/covid-19-state-level-dashbaord.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-06"
        },
        {
          "@type": "Distribution",
          "title": "covid-19-state-level.json",
          "description": "CDC data visualization titled covid-19-state-level.json. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/sc2/covid-19-state-level.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-05"
        },
        {
          "@type": "Distribution",
          "title": "Dashboard",
          "description": "CDC data visualization titled Dashboard related to Data & Statistics. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/Dsahboard.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-11-09"
        },
        {
          "@type": "Distribution",
          "title": "Dashboard",
          "description": "CDC data visualization titled Dashboard related to Data & Statistics. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/Dsahboard_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-11-09"
        },
        {
          "@type": "Distribution",
          "title": "Dashboard",
          "description": "CDC data visualization titled Dashboard related to Data & Statistics. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/Dsahboard_2.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-11-09"
        },
        {
          "@type": "Distribution",
          "title": "Flua Top modules",
          "description": "CDC data visualization titled Flua Top modules. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/flua/flua-top-modules.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-29"
        },
        {
          "@type": "Distribution",
          "title": "Flua-",
          "description": "CDC data visualization titled Flua- related to Data & Surveillance. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/wastewater-surveillance/flua-dataviz/flua.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-07"
        },
        {
          "@type": "Distribution",
          "title": "Flua- Simple map",
          "description": "CDC data visualization titled Flua- Simple map related to Influenza Surveillance Data. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/wastewater-surveillance/flua-dataviz/flua_simple.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-14"
        },
        {
          "@type": "Distribution",
          "title": "flua-databites",
          "description": "CDC data visualization titled flua-databites. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/flua/flua-databites.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-18"
        },
        {
          "@type": "Distribution",
          "title": "Flua-Regional-databites",
          "description": "CDC data visualization titled Flua-Regional-databites. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/flua/Flua-Regional-databites.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-14"
        },
        {
          "@type": "Distribution",
          "title": "flua-state-level",
          "description": "CDC data visualization titled flua-state-level. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/flua/flua-state-level.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-05"
        },
        {
          "@type": "Distribution",
          "title": "flua-state-level-dashbaord.json",
          "description": "CDC data visualization titled flua-state-level-dashbaord.json. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/flua/flua-state-level-dashbaord.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-06"
        },
        {
          "@type": "Distribution",
          "title": "flua-timeperiod",
          "description": "CDC data visualization titled flua-timeperiod. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/flua/flua-timeperiod.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-14"
        },
        {
          "@type": "Distribution",
          "title": "flua-timeperiod-state-page",
          "description": "CDC data visualization titled flua-timeperiod-state-page. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/flua/flua-timeperiod-state-page.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-18"
        },
        {
          "@type": "Distribution",
          "title": "Gauge graphic combined",
          "description": "CDC data visualization titled Gauge graphic combined. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/national-data/gauge-graphic-combined.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-09"
        },
        {
          "@type": "Distribution",
          "title": "H5 Date",
          "description": "CDC data visualization titled H5 Date. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/h5/h5-date.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-18"
        },
        {
          "@type": "Distribution",
          "title": "H5 Date",
          "description": "CDC data visualization titled H5 Date. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/h5/h5-date.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-17"
        },
        {
          "@type": "Distribution",
          "title": "H5 Date combined",
          "description": "CDC data visualization titled H5 Date combined. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/h5/h5-date-combined.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-15"
        },
        {
          "@type": "Distribution",
          "title": "H5 table combined",
          "description": "CDC data visualization titled H5 table combined. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/h5/h5-table-combined.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-09"
        },
        {
          "@type": "Distribution",
          "title": "H5 time period",
          "description": "CDC data visualization titled H5 time period. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/h5/time-period.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-09"
        },
        {
          "@type": "Distribution",
          "title": "H5 time period combined",
          "description": "CDC data visualization titled H5 time period combined. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/h5/time-period-combined.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-25"
        },
        {
          "@type": "Distribution",
          "title": "H5 US map",
          "description": "CDC data visualization titled H5 US map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/h5/h5-us-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-18"
        },
        {
          "@type": "Distribution",
          "title": "H5 US map",
          "description": "CDC data visualization titled H5 US map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/h5/h5-us-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-02"
        },
        {
          "@type": "Distribution",
          "title": "H5 US map combined",
          "description": "CDC data visualization titled H5 US map combined. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/h5/h5-us-map-combined.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-02"
        },
        {
          "@type": "Distribution",
          "title": "H5 WWD",
          "description": "CDC data visualization titled H5 WWD. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/prism/modules/h5-wwd.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-16"
        },
        {
          "@type": "Distribution",
          "title": "Home Page Modules",
          "description": "CDC data visualization titled Home Page Modules. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/home-page-modules.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-06"
        },
        {
          "@type": "Distribution",
          "title": "Influenza",
          "description": "CDC data visualization titled Influenza. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/influenza.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-19"
        },
        {
          "@type": "Distribution",
          "title": "Influenza A Wastewater Data",
          "description": "Access point for Influenza A Wastewater Data.",
          "accessURL": "https://www.cdc.gov/nwss/rv/influenzaa-national-data.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Influenza Regional Trend_Updated",
          "description": "CDC data visualization titled Influenza Regional Trend_Updated. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/flua/influenza-national-and-regional-trends-wastewater-updated.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-05"
        },
        {
          "@type": "Distribution",
          "title": "Influenza Regional Trend_Updated",
          "description": "CDC data visualization titled Influenza Regional Trend_Updated. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/influenza-national-and-regional-trends-wastewater-updated.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-17"
        },
        {
          "@type": "Distribution",
          "title": "Influenza State Level Wastewater Data - Relative",
          "description": "CDC data visualization titled Influenza State Level Wastewater Data - Relative. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/influenza_state-level-wastewater-data-relative.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-28"
        },
        {
          "@type": "Distribution",
          "title": "influenza-national-and-regional-trends-dashboard.json",
          "description": "CDC data visualization titled influenza-national-and-regional-trends-dashboard.json. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/flua/influenza-national-and-regional-trends-dashboard.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-29"
        },
        {
          "@type": "Distribution",
          "title": "Jurisdicciones regionales del CoE",
          "description": "CDC data visualization titled Jurisdicciones regionales del CoE. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/wastewater-surveillance/dataviz/coe-regional-jurisdictions-spanish.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-02-20"
        },
        {
          "@type": "Distribution",
          "title": "Jurisdicciones regionales del CoE",
          "description": "CDC data visualization titled Jurisdicciones regionales del CoE. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/coe-regional-jurisdictions-spanish.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-11"
        },
        {
          "@type": "Distribution",
          "title": "measles date",
          "description": "CDC data visualization titled measles date. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/measles/measles-date.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-18"
        },
        {
          "@type": "Distribution",
          "title": "measles date",
          "description": "CDC data visualization titled measles date. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/measles/measles-date.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-13"
        },
        {
          "@type": "Distribution",
          "title": "measles date combined",
          "description": "CDC data visualization titled measles date combined. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/measles/measles-date-combined.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-02"
        },
        {
          "@type": "Distribution",
          "title": "measles table combined",
          "description": "CDC data visualization titled measles table combined. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/emerging-viruses/measles-table-combined.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-09"
        },
        {
          "@type": "Distribution",
          "title": "Measles US map",
          "description": "CDC data visualization titled Measles US map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/measles/measles-us-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-19"
        },
        {
          "@type": "Distribution",
          "title": "Measles US map",
          "description": "CDC data visualization titled Measles US map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/measles/measles-us-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-05-08"
        },
        {
          "@type": "Distribution",
          "title": "Measles US map combined",
          "description": "CDC data visualization titled Measles US map combined. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/measles/measles-us-map-combined.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-26"
        },
        {
          "@type": "Distribution",
          "title": "Measles Wastewater Data",
          "description": "Access point for Measles Wastewater Data.",
          "accessURL": "https://www.cdc.gov/nwss/rv/measles.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Monkeypox Results by Test Type",
          "description": "CDC data visualization titled Monkeypox Results by Test Type. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/monkeypox/monkeypox-results-by-test-type.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-02"
        },
        {
          "@type": "Distribution",
          "title": "Monkeypox Results by Test Type Combined",
          "description": "CDC data visualization titled Monkeypox Results by Test Type Combined. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/monkeypox/monkeypox-results-by-test-type-combined.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-09"
        },
        {
          "@type": "Distribution",
          "title": "Monkeypox Wastewater Data",
          "description": "Access point for Monkeypox Wastewater Data.",
          "accessURL": "https://www.cdc.gov/nwss/wastewater-surveillance/mpox-data.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "monkeypox-detection-percentages",
          "description": "CDC data visualization titled monkeypox-detection-percentages. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/monkeypox/monkeypox-percentages.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-16"
        },
        {
          "@type": "Distribution",
          "title": "monkeypox-detection-percentages combined",
          "description": "CDC data visualization titled monkeypox-detection-percentages combined. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/monkeypox/monkeypox-percentages-combined.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-29"
        },
        {
          "@type": "Distribution",
          "title": "Monkeypox-Table",
          "description": "CDC data visualization titled Monkeypox-Table. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/monkeypox/monkeypox-table.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-16"
        },
        {
          "@type": "Distribution",
          "title": "Monkeypox-Table combined",
          "description": "CDC data visualization titled Monkeypox-Table combined. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/monkeypox/monkeypox-table-combined.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-05-15"
        },
        {
          "@type": "Distribution",
          "title": "Monkeypox-time-period",
          "description": "CDC data visualization titled Monkeypox-time-period. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/monkeypox/monkeypox-time-period.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-09"
        },
        {
          "@type": "Distribution",
          "title": "Monkeypox-time-period combined",
          "description": "CDC data visualization titled Monkeypox-time-period combined. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/monkeypox/monkeypox-time-period-combined.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-29"
        },
        {
          "@type": "Distribution",
          "title": "mpox date clade I",
          "description": "CDC data visualization titled mpox date clade I. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/mpox/mpox-date-clade-I_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-18"
        },
        {
          "@type": "Distribution",
          "title": "mpox date clade II",
          "description": "CDC data visualization titled mpox date clade II. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/mpox/mpox-date-clade-II.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-18"
        },
        {
          "@type": "Distribution",
          "title": "mpox date non-specific",
          "description": "CDC data visualization titled mpox date non-specific. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/mpox/mpox-date-non-specific.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-18"
        },
        {
          "@type": "Distribution",
          "title": "mpox-detection-percentages",
          "description": "CDC data visualization titled mpox-detection-percentages. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/mpox/mpox-percentages.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-14"
        },
        {
          "@type": "Distribution",
          "title": "mpox-Table",
          "description": "CDC data visualization titled mpox-Table. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/mpox/mpox-table.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-29"
        },
        {
          "@type": "Distribution",
          "title": "mpox-table",
          "description": "CDC data visualization titled mpox-table. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/mpox/mpox-table-1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-11-24"
        },
        {
          "@type": "Distribution",
          "title": "MPOX-time-period",
          "description": "CDC data visualization titled MPOX-time-period. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/mpox/mpox-time-period.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-14"
        },
        {
          "@type": "Distribution",
          "title": "mpox-waste-water",
          "description": "CDC data visualization titled mpox-waste-water related to Data & Statistics. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/wastewater-surveillance/dataviz/mpox-waste-water.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-16"
        },
        {
          "@type": "Distribution",
          "title": "mpox-waste-water-home-page",
          "description": "CDC data visualization titled mpox-waste-water-home-page. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/wastewater-surveillance/dataviz/mpox-waste-water-home.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-11-15"
        },
        {
          "@type": "Distribution",
          "title": "National combined pages",
          "description": "CDC data visualization titled National combined pages. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/national-data/national-combined-pages.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-10"
        },
        {
          "@type": "Distribution",
          "title": "National Respiratory Virus Wastewater Dashboard",
          "description": "Access point for National Respiratory Virus Wastewater Dashboard.",
          "accessURL": "https://www.cdc.gov/nwss/rv/COVID19-national-data.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "National Trend",
          "description": "CDC data visualization titled National Trend related to Data & Statistics. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/covid-19-national-URL.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-07-03"
        },
        {
          "@type": "Distribution",
          "title": "Non-Clade-Specific",
          "description": "CDC data visualization titled Non-Clade-Specific. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/modules/dataviz-mpox/non-clade-specific-2.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-15"
        },
        {
          "@type": "Distribution",
          "title": "Non-Clade-Specific",
          "description": "CDC data visualization titled Non-Clade-Specific. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/mpox/non-clade-specific.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-18"
        },
        {
          "@type": "Distribution",
          "title": "Pathogen Testing Sites in the U.S. Dashboard",
          "description": "CDC data visualization titled Pathogen Testing Sites in the U.S. Dashboard. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/pathogen-testing-sites/pathogen-testing-sites-in-the-us-dashboard.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-10"
        },
        {
          "@type": "Distribution",
          "title": "Pathogen Testing Sites in the U.S. Dashboard-Spanish",
          "description": "CDC data visualization titled Pathogen Testing Sites in the U.S. Dashboard-Spanish. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/pathogen-testing-sites/pathogen-testing-sites-in-the-us-dashboard-sp.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-14"
        },
        {
          "@type": "Distribution",
          "title": "Regional Trend",
          "description": "CDC data visualization titled Regional Trend. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/modules/combined/covid-19-national-and-regional-trends-wastewater-URL.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-20"
        },
        {
          "@type": "Distribution",
          "title": "Regional Trend",
          "description": "CDC data visualization titled Regional Trend related to Data & Statistics. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/covid-19-national-and-regional-trends-wastewater-URL.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-19"
        },
        {
          "@type": "Distribution",
          "title": "RSV",
          "description": "CDC data visualization titled RSV. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/rsv.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-19"
        },
        {
          "@type": "Distribution",
          "title": "RSV Regional Trend_Updated",
          "description": "CDC data visualization titled RSV Regional Trend_Updated. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/RSV-national-and-regional-trends-wastewater-updated.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-17"
        },
        {
          "@type": "Distribution",
          "title": "RSV Regional Trend_Updated",
          "description": "CDC data visualization titled RSV Regional Trend_Updated. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/rsv/RSV-national-and-regional-trends-wastewater-updated.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-18"
        },
        {
          "@type": "Distribution",
          "title": "RSV State Level Wastewater Data - Relative",
          "description": "CDC data visualization titled RSV State Level Wastewater Data - Relative. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/rsv/rsv_state-level-wastewater-data-relative.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-05"
        },
        {
          "@type": "Distribution",
          "title": "RSV State Level Wastewater Data - Relative",
          "description": "CDC data visualization titled RSV State Level Wastewater Data - Relative. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/rsv_state-level-wastewater-data-relative.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-28"
        },
        {
          "@type": "Distribution",
          "title": "RSV time peroid-USMap",
          "description": "CDC data visualization titled RSV time peroid-USMap. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/rsv/RSV-time-peroid-US-Map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-18"
        },
        {
          "@type": "Distribution",
          "title": "RSV Top Modules",
          "description": "CDC data visualization titled RSV Top Modules. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/rsv/rsv-top-modules.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-18"
        },
        {
          "@type": "Distribution",
          "title": "RSV Wastewater Data",
          "description": "Access point for RSV Wastewater Data.",
          "accessURL": "https://www.cdc.gov/nwss/rv/rsv-national-data.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "RSV-Dashboard",
          "description": "CDC data visualization titled RSV-Dashboard. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/rsv/RSV-Dashboard.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-06"
        },
        {
          "@type": "Distribution",
          "title": "rsv-databite",
          "description": "CDC data visualization titled rsv-databite. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/rsv/rsv-databite.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-18"
        },
        {
          "@type": "Distribution",
          "title": "rsv-national-and-regional-trends-dashboard.json",
          "description": "CDC data visualization titled rsv-national-and-regional-trends-dashboard.json. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/rsv/rsv-national-and-regional-trends-dashboard.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-29"
        },
        {
          "@type": "Distribution",
          "title": "rsv-state-level",
          "description": "CDC data visualization titled rsv-state-level. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/rsv/rsv-state-level.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-15"
        },
        {
          "@type": "Distribution",
          "title": "rsv-state-level-dashbaord.json",
          "description": "CDC data visualization titled rsv-state-level-dashbaord.json. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/rsv/rsv-state-level-dashbaord.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-06"
        },
        {
          "@type": "Distribution",
          "title": "rsv-time-period",
          "description": "CDC data visualization titled rsv-time-period. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/rsv/rsv-time-period.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-14"
        },
        {
          "@type": "Distribution",
          "title": "State and Territory Respiratory Virus Wastewater Dashboard",
          "description": "Access point for State and Territory Respiratory Virus Wastewater Dashboard.",
          "accessURL": "https://www.cdc.gov/wastewater/respiratory-viruses/state.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "State Level Covid",
          "description": "CDC data visualization titled State Level Covid. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/prism/modules/State-Level-covid.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-12"
        },
        {
          "@type": "Distribution",
          "title": "State Level Covid",
          "description": "CDC data visualization titled State Level Covid. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/prism/modules/State-Level-covid-rest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-04-24"
        },
        {
          "@type": "Distribution",
          "title": "State Level Covid",
          "description": "CDC data visualization titled State Level Covid. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/prism/modules/State-Level-covid_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-09"
        },
        {
          "@type": "Distribution",
          "title": "State Level Covid",
          "description": "CDC data visualization titled State Level Covid. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/sc2/State-Level-covid-rest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-05"
        },
        {
          "@type": "Distribution",
          "title": "State Level Covid",
          "description": "CDC data visualization titled State Level Covid. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/sc2/State-Level-covid-rest-redo.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-06"
        },
        {
          "@type": "Distribution",
          "title": "State Level FluA",
          "description": "CDC data visualization titled State Level FluA. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/prism/modules/State-Level-fluA-rest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-04-24"
        },
        {
          "@type": "Distribution",
          "title": "State Level FluA",
          "description": "CDC data visualization titled State Level FluA. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/prism/modules/State-Level-fluA_1-fixed.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-07"
        },
        {
          "@type": "Distribution",
          "title": "State Level FluA",
          "description": "CDC data visualization titled State Level FluA. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/flua/State-Level-fluA-rest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-06"
        },
        {
          "@type": "Distribution",
          "title": "State Level RSV",
          "description": "CDC data visualization titled State Level RSV. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/prism/modules/State-Level-rsv-rest.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-04-24"
        },
        {
          "@type": "Distribution",
          "title": "State Level RSV",
          "description": "CDC data visualization titled State Level RSV. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/prism/modules/State-Level-rsv_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-09"
        },
        {
          "@type": "Distribution",
          "title": "State Level Wastewater Data - Relative",
          "description": "CDC data visualization titled State Level Wastewater Data - Relative related to COVID-19. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/state-level-wastewater-data-realative.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-28"
        },
        {
          "@type": "Distribution",
          "title": "State Level Wastewater Data -TEST",
          "description": "CDC data visualization titled State Level Wastewater Data -TEST related to COVID-19. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/state-level-wastewater-data_TEST.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-11-15"
        },
        {
          "@type": "Distribution",
          "title": "State trend with text dashboard",
          "description": "CDC data visualization titled State trend with text dashboard related to Data & Statistics. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/state-trend-with-text-dashboard.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-07"
        },
        {
          "@type": "Distribution",
          "title": "State-level-date-stamp",
          "description": "CDC data visualization titled State-level-date-stamp. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/flua/state-level-date-stamp.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-18"
        },
        {
          "@type": "Distribution",
          "title": "State-level-date-stamp",
          "description": "CDC data visualization titled State-level-date-stamp. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/rsv/state-level-date-stamp.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-29"
        },
        {
          "@type": "Distribution",
          "title": "State-level-date-stamp",
          "description": "CDC data visualization titled State-level-date-stamp. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/sc2/state-level-date-stamp.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-12"
        },
        {
          "@type": "Distribution",
          "title": "State-page-combined",
          "description": "CDC data visualization titled State-page-combined. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/state-data/state-page-combined.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-25"
        },
        {
          "@type": "Distribution",
          "title": "statelevels",
          "description": "CDC data visualization titled statelevels related to Data & Statistics. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/statelevels.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-12-21"
        },
        {
          "@type": "Distribution",
          "title": "Table",
          "description": "CDC data visualization titled Table. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/modules/dataviz-mpox/table.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-11"
        },
        {
          "@type": "Distribution",
          "title": "Time",
          "description": "CDC data visualization titled Time. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/modules/dataviz-mpox/time.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-12"
        },
        {
          "@type": "Distribution",
          "title": "time period",
          "description": "CDC data visualization titled time period. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/prism/modules/time-period.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-04-18"
        },
        {
          "@type": "Distribution",
          "title": "time period",
          "description": "CDC data visualization titled time period. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/h5/time-period.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-12"
        },
        {
          "@type": "Distribution",
          "title": "time period",
          "description": "CDC data visualization titled time period. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/measles/time-period.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-14"
        },
        {
          "@type": "Distribution",
          "title": "time period",
          "description": "CDC data visualization titled time period. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/measles/time-period.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-09"
        },
        {
          "@type": "Distribution",
          "title": "time period combined",
          "description": "CDC data visualization titled time period combined. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/measles/time-period-combined.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-14"
        },
        {
          "@type": "Distribution",
          "title": "time period covid state map",
          "description": "CDC data visualization titled time period covid state map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/time-period-covid-state-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-02"
        },
        {
          "@type": "Distribution",
          "title": "time period covid state map",
          "description": "CDC data visualization titled time period covid state map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/time-period-covid-state-map_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-05-23"
        },
        {
          "@type": "Distribution",
          "title": "time period influenzaA state map",
          "description": "CDC data visualization titled time period influenzaA state map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/time-period-influenzaA-state-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-02"
        },
        {
          "@type": "Distribution",
          "title": "time period influenzaA state map",
          "description": "CDC data visualization titled time period influenzaA state map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/time-period-influenzaA-state-map_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-05-23"
        },
        {
          "@type": "Distribution",
          "title": "time period map",
          "description": "CDC data visualization titled time period map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/time-period-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-06"
        },
        {
          "@type": "Distribution",
          "title": "time period RSV state map",
          "description": "CDC data visualization titled time period RSV state map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/time-period-RSV-state-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-02"
        },
        {
          "@type": "Distribution",
          "title": "time period RSV state map",
          "description": "CDC data visualization titled time period RSV state map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/time-period-RSV-state-map_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-05-23"
        },
        {
          "@type": "Distribution",
          "title": "Top three modules",
          "description": "CDC data visualization titled Top three modules. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/prism/modules/top-three-modules.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-04-18"
        },
        {
          "@type": "Distribution",
          "title": "Top three modules",
          "description": "CDC data visualization titled Top three modules. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/h5/top-three-modules.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-12"
        },
        {
          "@type": "Distribution",
          "title": "Top three modules",
          "description": "CDC data visualization titled Top three modules. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/measles/top-three-modules.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-01"
        },
        {
          "@type": "Distribution",
          "title": "Top three modules",
          "description": "CDC data visualization titled Top three modules. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/h5/top-three-modules.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-09"
        },
        {
          "@type": "Distribution",
          "title": "Top three modules",
          "description": "CDC data visualization titled Top three modules. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/measles/top-three-modules.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-09"
        },
        {
          "@type": "Distribution",
          "title": "Top three modules combined",
          "description": "CDC data visualization titled Top three modules combined. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/h5/top-three-modules-combined.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-05"
        },
        {
          "@type": "Distribution",
          "title": "Top three modules combined",
          "description": "CDC data visualization titled Top three modules combined. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/wastewater/modules/measles/top-three-modules-combined.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-14"
        },
        {
          "@type": "Distribution",
          "title": "Total",
          "description": "CDC data visualization titled Total. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/modules/dataviz-mpox/total.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-26"
        },
        {
          "@type": "Distribution",
          "title": "U.S. Mpox Wastewater Data",
          "description": "CDC data visualization titled U.S. Mpox Wastewater Data. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/wastewater-surveillance/dataviz/mpox-waste-water-2.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-10-29"
        },
        {
          "@type": "Distribution",
          "title": "variant",
          "description": "CDC data visualization titled variant. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/sc2/variant_url.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-11"
        },
        {
          "@type": "Distribution",
          "title": "variant",
          "description": "CDC data visualization titled variant related to Data & Statistics. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/nwss/",
          "downloadURL": "https://www.cdc.gov/nwss/rv/modules/variant_url.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-10"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/nwss/rv/covid19-national-data.html",
      "title": "COVID-19 Wastewater Data",
      "description": "Public CDC dataset / api providing data or related information for Wastewater surveillance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Wastewater Surveillance System (NWSS)",
          "hasEmail": "mailto:NWSS@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Infectious Disease Readiness and Innovation (DIDRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "COVID-19"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/nwss/rv/influenzaa-national-data.html",
      "title": "Influenza A Wastewater Data",
      "description": "Public CDC dataset / api providing data or related information for Wastewater surveillance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Wastewater Surveillance System (NWSS)",
          "hasEmail": "mailto:NWSS@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Infectious Disease Readiness and Innovation (DIDRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Influenza A"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/nwss/rv/measles.html",
      "title": "Measles Wastewater Data",
      "description": "Public CDC dataset / api providing data or related information for Wastewater surveillance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Wastewater Surveillance System (NWSS)",
          "hasEmail": "mailto:NWSS@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Infectious Disease Readiness and Innovation (DIDRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Measles"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/nwss/rv/rsv-national-data.html",
      "title": "RSV Wastewater Data",
      "description": "Public CDC dataset / api providing data or related information for Wastewater surveillance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Wastewater Surveillance System (NWSS)",
          "hasEmail": "mailto:NWSS@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Infectious Disease Readiness and Innovation (DIDRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "RSV"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/nwss/wastewater-surveillance/mpox-data.html",
      "title": "Monkeypox Wastewater Data",
      "description": "Public CDC dataset / api providing data or related information for Wastewater surveillance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Wastewater Surveillance System (NWSS)",
          "hasEmail": "mailto:NWSS@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Infectious Disease Readiness and Innovation (DIDRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Monkeypox"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/ohhabs/data/index.html",
      "title": "One Health Harmful Algal Bloom System Data",
      "description": "Public CDC data / report hub providing data or related information for Harmful algal blooms.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Harmful algal blooms"
        }
      ],
      "keyword": [
        "Harmful algal blooms",
        "Data / report hub",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
        "title": "One Health Harmful Algal Bloom System Data"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/ohhabs/partcipants/index.html",
        "title": "OHHABS Reporting System"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CoP Map",
          "description": "CDC data visualization titled CoP Map related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/harmful-algal-blooms/media/modules/maps/CoP-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-02"
        },
        {
          "@type": "Distribution",
          "title": "ELC Funded",
          "description": "CDC data visualization titled ELC Funded. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/harmful-algal-blooms/media/modules/maps/ELC-Funded.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-12-02"
        },
        {
          "@type": "Distribution",
          "title": "Figure 1",
          "description": "CDC data visualization titled Figure 1. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2019/figure-1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-05"
        },
        {
          "@type": "Distribution",
          "title": "Figure 1",
          "description": "CDC data visualization titled Figure 1. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2020/figure-1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-05"
        },
        {
          "@type": "Distribution",
          "title": "Figure 1",
          "description": "CDC data visualization titled Figure 1. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2021/figure1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-01-18"
        },
        {
          "@type": "Distribution",
          "title": "Figure 1",
          "description": "CDC data visualization titled Figure 1. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2022/figure1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-20"
        },
        {
          "@type": "Distribution",
          "title": "Figure 10",
          "description": "CDC data visualization titled Figure 10 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2019/figure-10.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-18"
        },
        {
          "@type": "Distribution",
          "title": "Figure 10",
          "description": "CDC data visualization titled Figure 10. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2020/figure-10.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-05"
        },
        {
          "@type": "Distribution",
          "title": "Figure 10",
          "description": "CDC data visualization titled Figure 10. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2021/Figure10.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-01-18"
        },
        {
          "@type": "Distribution",
          "title": "Figure 10",
          "description": "CDC data visualization titled Figure 10. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2022/Figure10.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-23"
        },
        {
          "@type": "Distribution",
          "title": "Figure 11",
          "description": "CDC data visualization titled Figure 11 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2019/figure-11.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-18"
        },
        {
          "@type": "Distribution",
          "title": "Figure 11",
          "description": "CDC data visualization titled Figure 11. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2020/figure-11.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-05"
        },
        {
          "@type": "Distribution",
          "title": "Figure 11",
          "description": "CDC data visualization titled Figure 11 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2021/Figure11.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-23"
        },
        {
          "@type": "Distribution",
          "title": "Figure 11",
          "description": "CDC data visualization titled Figure 11. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2022/Figure11.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-17"
        },
        {
          "@type": "Distribution",
          "title": "Figure 12",
          "description": "CDC data visualization titled Figure 12 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2020/figure-12.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-15"
        },
        {
          "@type": "Distribution",
          "title": "Figure 12",
          "description": "CDC data visualization titled Figure 12 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2021/Figure12.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-15"
        },
        {
          "@type": "Distribution",
          "title": "Figure 12",
          "description": "CDC data visualization titled Figure 12 related to Harmful algal bloom-associated illness. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2022/Figure12.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-17"
        },
        {
          "@type": "Distribution",
          "title": "Figure 13a",
          "description": "CDC data visualization titled Figure 13a related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2021/figure13a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-14"
        },
        {
          "@type": "Distribution",
          "title": "Figure 13a",
          "description": "CDC data visualization titled Figure 13a. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2022/figure13a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-17"
        },
        {
          "@type": "Distribution",
          "title": "Figure 13b",
          "description": "CDC data visualization titled Figure 13b. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2021/figure13b.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-01-18"
        },
        {
          "@type": "Distribution",
          "title": "Figure 13b",
          "description": "CDC data visualization titled Figure 13b. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2022/figure13b.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-17"
        },
        {
          "@type": "Distribution",
          "title": "Figure 14",
          "description": "CDC data visualization titled Figure 14 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2019/figure-14.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-18"
        },
        {
          "@type": "Distribution",
          "title": "Figure 14",
          "description": "CDC data visualization titled Figure 14 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2020/figure-14.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-18"
        },
        {
          "@type": "Distribution",
          "title": "Figure 14a",
          "description": "CDC data visualization titled Figure 14a related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2021/Figure14a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-29"
        },
        {
          "@type": "Distribution",
          "title": "Figure 14a",
          "description": "CDC data visualization titled Figure 14a. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2022/Figure14a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-05"
        },
        {
          "@type": "Distribution",
          "title": "Figure 14b",
          "description": "CDC data visualization titled Figure 14b related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2021/figure14b.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-29"
        },
        {
          "@type": "Distribution",
          "title": "Figure 14b",
          "description": "CDC data visualization titled Figure 14b. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2022/figure14b.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-05"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3",
          "description": "CDC data visualization titled Figure 3 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2019/figure-3.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-21"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3",
          "description": "CDC data visualization titled Figure 3 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2020/figure-3.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-18"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3",
          "description": "CDC data visualization titled Figure 3 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2021/figure3.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-11"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3",
          "description": "CDC data visualization titled Figure 3 related to Harmful algal bloom-associated illness. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2022/figure3.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-12-02"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3 2016-2018",
          "description": "CDC data visualization titled Figure 3 2016-2018 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2016-2018/figure-3-2016-2018.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-07"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4",
          "description": "CDC data visualization titled Figure 4 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2020/figure-4.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-15"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4",
          "description": "CDC data visualization titled Figure 4 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2021/Figure4.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-11"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4",
          "description": "CDC data visualization titled Figure 4. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2022/Figure4.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-23"
        },
        {
          "@type": "Distribution",
          "title": "Figure 4 2016-2018",
          "description": "CDC data visualization titled Figure 4 2016-2018 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2016-2018/figure-4-2016-2018.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-21"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5a",
          "description": "CDC data visualization titled Figure 5a related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2019/figure-5a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-23"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5a",
          "description": "CDC data visualization titled Figure 5a. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2020/figure-5a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-05"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5a",
          "description": "CDC data visualization titled Figure 5a related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2021/Figure5a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-07"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5a",
          "description": "CDC data visualization titled Figure 5a. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2022/Figure5a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-08"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5b",
          "description": "CDC data visualization titled Figure 5b. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2020/figure-5b.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-05"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5b",
          "description": "CDC data visualization titled Figure 5b related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2021/Figure5b.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-23"
        },
        {
          "@type": "Distribution",
          "title": "Figure 5b",
          "description": "CDC data visualization titled Figure 5b. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2022/Figure5b.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-23"
        },
        {
          "@type": "Distribution",
          "title": "Figure 6",
          "description": "CDC data visualization titled Figure 6 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2019/figure-6.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-18"
        },
        {
          "@type": "Distribution",
          "title": "Figure 6",
          "description": "CDC data visualization titled Figure 6 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2020/figure-6.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-15"
        },
        {
          "@type": "Distribution",
          "title": "Figure 6",
          "description": "CDC data visualization titled Figure 6 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2021/Figure6.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-23"
        },
        {
          "@type": "Distribution",
          "title": "Figure 6",
          "description": "CDC data visualization titled Figure 6. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2022/Figure6.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-17"
        },
        {
          "@type": "Distribution",
          "title": "Figure 7",
          "description": "CDC data visualization titled Figure 7 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2019/figure-7.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-18"
        },
        {
          "@type": "Distribution",
          "title": "Figure 7",
          "description": "CDC data visualization titled Figure 7 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2020/figure-7.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-22"
        },
        {
          "@type": "Distribution",
          "title": "Figure 7",
          "description": "CDC data visualization titled Figure 7 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2021/Figure7.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-23"
        },
        {
          "@type": "Distribution",
          "title": "Figure 7",
          "description": "CDC data visualization titled Figure 7. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2022/Figure7.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-17"
        },
        {
          "@type": "Distribution",
          "title": "Figure 8",
          "description": "CDC data visualization titled Figure 8 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2019/figure-8.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-18"
        },
        {
          "@type": "Distribution",
          "title": "Figure 8",
          "description": "CDC data visualization titled Figure 8 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2020/figure-8.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-22"
        },
        {
          "@type": "Distribution",
          "title": "Figure 8",
          "description": "CDC data visualization titled Figure 8 related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2021/Figure8.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-23"
        },
        {
          "@type": "Distribution",
          "title": "Figure 8",
          "description": "CDC data visualization titled Figure 8. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2022/Figure8.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-17"
        },
        {
          "@type": "Distribution",
          "title": "Figure 9a",
          "description": "CDC data visualization titled Figure 9a related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2019/figure-9a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-18"
        },
        {
          "@type": "Distribution",
          "title": "Figure 9a",
          "description": "CDC data visualization titled Figure 9a related to Harmful Algal Blooms (HABs). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2020/figure-9a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-22"
        },
        {
          "@type": "Distribution",
          "title": "Figure 9a",
          "description": "CDC data visualization titled Figure 9a. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2021/Figure9a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-23"
        },
        {
          "@type": "Distribution",
          "title": "Figure 9a",
          "description": "CDC data visualization titled Figure 9a. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2022/Figure9a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-29"
        },
        {
          "@type": "Distribution",
          "title": "Figure 9b",
          "description": "CDC data visualization titled Figure 9b. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2021/Figure9b.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-23"
        },
        {
          "@type": "Distribution",
          "title": "Figure 9b",
          "description": "CDC data visualization titled Figure 9b. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "downloadURL": "https://www.cdc.gov/ohhabs/media/figures/2022/Figure9b.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-17"
        },
        {
          "@type": "Distribution",
          "title": "One Health Harmful Algal Bloom System Data",
          "description": "Access point for One Health Harmful Algal Bloom System Data.",
          "accessURL": "https://www.cdc.gov/ohhabs/data/index.html",
          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/omsk-fever/index.html",
      "title": "Omsk Hemorrhagic Fever Distribution",
      "description": "Map depicting Omsk Hemorrhagic Fever distribution in Russia",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Viral hemorrhagic fevers"
        }
      ],
      "keyword": [
        "Omsk hemorrhagic fever"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/one-health/php/prioritization/index.html",
      "title": "One Health Zoonotic Disease Prioritization Process",
      "description": "Public CDC decision-support methodology providing data or related information for One Health.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "One Health Office",
          "hasEmail": "mailto:onehealthportal@cdc.gov"
        }
      ],
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        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID)",
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            "name": "Centers for Disease Control and Prevention (CDC)",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "One Health"
        }
      ],
      "keyword": [
        "One Health",
        "Decision-support methodology",
        "NCEZID Office"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/one-health/php/prioritization/index.html",
        "title": "One Health Zoonotic Disease Prioritization Process"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/one-health/php/prioritization/index.html",
        "title": "One Health Zoonotic Disease Prioritization Process"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Completed OHZDP Workshops and Reports",
          "description": "Access point for Completed OHZDP Workshops and Reports.",
          "accessURL": "https://www.cdc.gov/one-health/php/whats-new/index.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "Completed OHZDP Workshops and Reports related resource",
          "description": "Access point for Completed OHZDP Workshops and Reports.",
          "accessURL": "https://www.cdc.gov/one-health/php/prioritization/us-ohzdp-workshop.html",
          "format": "Web resource"
        },
        {
          "@type": "Distribution",
          "title": "One Health Portal",
          "description": "Operational applications require approved access/SAMS authentication.",
          "accessURL": "https://onehealthportal-int.cdc.gov/",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "One Health Zoonotic Disease Prioritization Process",
          "description": "Access point for One Health Zoonotic Disease Prioritization Process.",
          "accessURL": "https://www.cdc.gov/one-health/php/prioritization/index.html",
          "format": "Decision-support methodology"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/one-health/php/whats-new/index.html",
      "title": "Completed OHZDP Workshops and Reports",
      "description": "Provides CDC One Health updates including announcements, publications, reports, communication resources, and more.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "One Health Office",
          "hasEmail": "mailto:onehealthportal@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID)",
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          {
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            "name": "Centers for Disease Control and Prevention (CDC)",
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                "name": "U.S. Department of Health and Human Services"
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            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "One Health"
      ],
      "inventoried": "2026-09-27"
    },
    {
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      "identifier": "https://www.cdc.gov/oropouche/data-maps/current-year-data.html",
      "title": "Oropouche Current-Year Data",
      "description": "Public CDC interactive data page providing data or related information for Oropouche.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ArboNET Surveillance Team",
          "hasEmail": "mailto:dvbid2@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Oropouche"
        }
      ],
      "keyword": [
        "Oropouche",
        "Interactive data page",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/oropouche/data-maps/current-year-data.html",
        "title": "Oropouche Current-Year Data"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "New International Map",
          "description": "CDC data visualization titled New International Map. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/oropouche/data-maps/current-year-data.html",
          "downloadURL": "https://www.cdc.gov/oropouche/data-maps/new-international-map.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-08-05"
        },
        {
          "@type": "Distribution",
          "title": "Oropouche",
          "description": "CDC data visualization titled Oropouche. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/oropouche/data-maps/current-year-data.html",
          "downloadURL": "https://www.cdc.gov/oropouche/data-maps/oropouche-basic-final.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-06"
        },
        {
          "@type": "Distribution",
          "title": "Oropouche",
          "description": "CDC data visualization titled Oropouche. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/oropouche/data-maps/current-year-data.html",
          "downloadURL": "https://www.cdc.gov/oropouche/data-maps/oropouche-basic-new.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-27"
        },
        {
          "@type": "Distribution",
          "title": "Oropouche",
          "description": "CDC data visualization titled Oropouche. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/oropouche/data-maps/current-year-data.html",
          "downloadURL": "https://www.cdc.gov/oropouche/data-maps/oropouche-basic-updated.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-11"
        },
        {
          "@type": "Distribution",
          "title": "Oropouche Current-Year Data",
          "description": "Access point for Oropouche Current-Year Data.",
          "accessURL": "https://www.cdc.gov/oropouche/data-maps/current-year-data.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "oropouche data bites",
          "description": "CDC data visualization titled oropouche data bites. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/oropouche/data-maps/current-year-data.html",
          "downloadURL": "https://www.cdc.gov/oropouche/data-maps/oropouche-data-bites.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-06"
        },
        {
          "@type": "Distribution",
          "title": "Oropouche data bites two",
          "description": "CDC data visualization titled Oropouche data bites two. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/oropouche/data-maps/current-year-data.html",
          "downloadURL": "https://www.cdc.gov/oropouche/data-maps/oropouche-data-bites-2.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-09-06"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/parasites/hcp/epi-info/",
      "title": "Epi Info Vector Surveillance Application",
      "description": "Public CDC downloadable field surveillance application providing data or related information for Mosquito surveillance and control.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Domestic Epidemiology Team / MVPB  - Tory Seffren",
          "hasEmail": "mailto:malariasurveillance@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Parasitic Diseases and Malaria (DPDM)",
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          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Mosquito surveillance and control"
        }
      ],
      "keyword": [
        "Mosquito surveillance and control",
        "Downloadable field surveillance application",
        "DPDM"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/parasites/hcp/epi-info/",
        "title": "Epi Info Vector Surveillance Application"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC Bottle Bioassay",
          "description": "Access point for CDC Bottle Bioassay.",
          "accessURL": "https://www.cdc.gov/mosquitoes/php/insecticide-resistance/cdc-bottle-bioassay.html",
          "format": "Analytical method / reference tool"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/pertussis/php/surveillance/index.html",
      "title": "Pertussis Surveillance and Trends",
      "description": "U.S. Reported Pertussis Cases: 1922 - 2025 and Reported Pertussis Incidence by Age Group",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NCIRD-DBD",
          "hasEmail": "mailto:Mening-pert-diph@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Immunization and Respiratory Diseases (NCIRD)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/phhs-block-grant/php/data-research/",
      "title": "Preventive Health and Health Services (PHHS) Block Grant Funding Data",
      "description": "Publicly available data describing annual Preventive Health and Health Services (PHHS) Block Grant funding and recipient-reported planned use of funds. The dataset includes recipient funding allocations, total awards, and planned allocation of funds by public health topic area for Block Grant recipients.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PHHS Block Grant Team",
          "hasEmail": "mailto:phhsblockgrant@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Public Health Infrastructure Center (PHIC), Division of Jurisdictional Support (DJS)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)",
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              {
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-12-02",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        }
      ],
      "keyword": [
        "PHHS Block Grant",
        "Preventive Health and Health Services Block Grant",
        "funding",
        "public health",
        "health topic areas",
        "grants"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        },
        {
          "@type": "Location",
          "prefLabel": "territories"
        },
        {
          "@type": "Location",
          "prefLabel": "and freely associated states"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/phhs-block-grant/php/data-research/index.html",
        "title": "PHHS Block Grant Data & Research"
      },
      "rightsHolder": [
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          "name": "Centers for Disease Control and Prevention"
        }
      ],
      "rights": [
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      ],
      "creator": {
        "@type": "Agent",
        "name": "Division of Jurisdictional Support"
      },
      "status": "active",
      "accrualPeriodicity": "annual",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/phhs-block-grant/",
        "title": "Preventive Health and Health Services Block Grant"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PHHS Block Grant Funding by Recipient",
          "accessURL": "https://www.cdc.gov/phhs-block-grant/php/data-research/funding-by-recipient/index.html",
          "format": "HTML",
          "mediaType": "text/html",
          "rights": [
            "Public"
          ],
          "modified": "2025-12-02",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted",
              "restrictionNote": "Publicly available dataset"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "PHHS Block Grant Funding by Topic Area",
          "description": "Interactive webpage displaying recipient-reported planned use of PHHS Block Grant funds by public health topic area. Users can download the data in CSV format directly from the webpage",
          "accessURL": "https://www.cdc.gov/phhs-block-grant/php/data-research/funding-by-topic/index.html",
          "format": "HTML",
          "mediaType": "text/html",
          "rights": [
            "Public"
          ],
          "modified": "2026-04-28",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted",
              "restrictionNote": "Publicly available dataset"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "PHHS Block Grant Funding by Topic Area (CSV Download)",
          "description": "Downloadable PDF table showing FY2024 (and other years) PHHS Block Grant funding allocations by recipient, also a CSV Download is available",
          "accessURL": "https://www.cdc.gov/phhs-block-grant/php/data-research/funding-by-topic/index.html",
          "downloadURL": "https://www.cdc.gov/phhs-block-grant/media/pdfs/2026/04/FY-2024-PHHS-Block-Grant-Allocation-Table.pdf",
          "format": "PDF/CSV",
          "mediaType": "application/PDF/CSV",
          "rights": [
            "Public"
          ],
          "modified": "2026-04-28",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted",
              "restrictionNote": "Publicly available dataset"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/plague/maps-statistics/index.html",
      "title": "Plague Maps and Statistics",
      "description": "Public CDC map / statistics page providing data or related information for Plague. Source inventory cadence or coverage note: U.S. data through 2023.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Bacterial Diseases Branch",
          "hasEmail": "mailto:bdbepigroup@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Plague"
        }
      ],
      "keyword": [
        "Plague",
        "Map / statistics page",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/plague/maps-statistics/index.html",
        "title": "Plague Maps and Statistics"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Human plague cases and deaths - United States, 2000-2022",
          "description": "CDC data visualization titled Human plague cases and deaths - United States, 2000-2022 related to Mosquito-Borne Diseases | Yellow Fever. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/plague/maps-statistics/index.html",
          "downloadURL": "https://www.cdc.gov/plague/modules/maps/plaguecasesyear2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-04-15"
        },
        {
          "@type": "Distribution",
          "title": "Plague Maps and Statistics",
          "description": "Access point for Plague Maps and Statistics.",
          "accessURL": "https://www.cdc.gov/plague/maps-statistics/index.html",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/port-health/stations/index.html",
      "title": "Port Health Stations and Jurisdictions Map",
      "description": "Public CDC map / directory providing data or related information for Port health.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC Port Health, Communications and Training",
          "hasEmail": "mailto:cometteam@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Global Migration Health (DGMH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Port health"
        }
      ],
      "keyword": [
        "Port health",
        "Map / directory",
        "DGMH"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/port-health/stations/index.html",
        "title": "Port Health Stations and Jurisdictions Map"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Port Health Stations and Jurisdictions Map",
          "description": "Access point for Port Health Stations and Jurisdictions Map.",
          "accessURL": "https://www.cdc.gov/port-health/stations/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Port Health Stations and Jurisdictions Map related resource",
          "description": "Access point for Port Health Stations and Jurisdictions Map.",
          "accessURL": "https://www.cdc.gov/port-health/stations/port-health-station-contact-list.html",
          "format": "Web resource"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/powassan/data-maps/index.html",
      "title": "Powassan virus Data and Maps",
      "description": "Current and historic ArboNET data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ArboNET Surveillance Team",
          "hasEmail": "mailto:dvbid2@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Powassan virus"
        }
      ],
      "keyword": [
        "Powassan virus",
        "Interactive data family",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/powassan/data-maps/index.html",
        "title": "Powassan virus Data and Maps"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CT 2022",
          "description": "CDC data visualization titled CT 2022 related to Ticks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/powassan/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/powassan/data-maps/visuals-2025/ct-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-04"
        },
        {
          "@type": "Distribution",
          "title": "CT 2022",
          "description": "CDC data visualization titled CT 2022 related to Ticks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/powassan/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/powassan/statistics-data/final-pages/data-visuals/ct-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-24"
        },
        {
          "@type": "Distribution",
          "title": "Cumulative Data",
          "description": "CDC data visualization titled Cumulative Data related to Ticks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/powassan/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/powassan/data-maps/visuals-2025/cumulative-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-10"
        },
        {
          "@type": "Distribution",
          "title": "Cumulative Data",
          "description": "CDC data visualization titled Cumulative Data related to Ticks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/powassan/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/powassan/statistics-data/final-pages/data-visuals/cumulative-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Current Data",
          "description": "CDC data visualization titled Current Data related to Ticks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/powassan/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/powassan/statistics-data/final-pages/data-visuals/current-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-05-28"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite Neuroinvasive Cases",
          "description": "CDC data visualization titled Data Bite Neuroinvasive Cases related to Ticks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/powassan/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/powassan/statistics-data/final-pages/data-visuals/data-bite-neuroinvasive-caseso.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-07"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite States Reporting Cases",
          "description": "CDC data visualization titled Data Bite States Reporting Cases related to Ticks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/powassan/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/powassan/statistics-data/final-pages/data-visuals/data-bite-states-reporting-cases.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-07"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite Total Human Cases",
          "description": "CDC data visualization titled Data Bite Total Human Cases related to Ticks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/powassan/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/powassan/statistics-data/final-pages/data-visuals/data-bite-total-cases.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-07"
        },
        {
          "@type": "Distribution",
          "title": "Explore County Data",
          "description": "CDC data visualization titled Explore County Data related to Ticks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/powassan/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/powassan/data-maps/visuals-2025/explore-county-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-10"
        },
        {
          "@type": "Distribution",
          "title": "Explore County Data",
          "description": "CDC data visualization titled Explore County Data related to Ticks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/powassan/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/powassan/statistics-data/final-pages/data-visuals/explore-county-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Explore Human Data",
          "description": "CDC data visualization titled Explore Human Data related to Ticks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/powassan/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/powassan/data-maps/visuals-2025/explore-human-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-28"
        },
        {
          "@type": "Distribution",
          "title": "Explore Human Data",
          "description": "CDC data visualization titled Explore Human Data related to Ticks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/powassan/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/powassan/statistics-data/final-pages/data-visuals/explore-human-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Historic Last Updated",
          "description": "CDC data visualization titled Historic Last Updated related to Ticks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/powassan/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/powassan/data-maps/visuals-2025/historic-last-updated.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-02-28"
        },
        {
          "@type": "Distribution",
          "title": "Powassan virus Data and Maps",
          "description": "Current and historic ArboNET data.",
          "accessURL": "https://www.cdc.gov/powassan/data-maps/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Powassan virus Data and Maps application",
          "description": "Current and historic ArboNET data.",
          "accessURL": "https://www.cdc.gov/powassan/data-maps/current-year-data.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Powassan virus Data and Maps related resource",
          "description": "Current and historic ArboNET data.",
          "accessURL": "https://www.cdc.gov/powassan/data-maps/historic-data.html",
          "format": "Web resource"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/q-fever/data-research/index.html",
      "title": "Q Fever Epidemiology and Statistics",
      "description": "Public CDC data / statistics page providing data or related information for Q fever. Source inventory cadence or coverage note: Through 2019 on current page.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Rickettsial Zoonoses Branch",
          "hasEmail": "mailto:rzbepidiag@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
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            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Q fever"
        }
      ],
      "keyword": [
        "Q fever",
        "Data / statistics page",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/q-fever/data-research/index.html",
        "title": "Q Fever Epidemiology and Statistics"
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      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Q Fever Epidemiology and Statistics",
          "description": "Access point for Q Fever Epidemiology and Statistics.",
          "accessURL": "https://www.cdc.gov/q-fever/data-research/index.html",
          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/rabies/country-data/index.html",
      "title": "Rabies Status by Country",
      "description": "Rabies status by country.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
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            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Rabies"
        }
      ],
      "keyword": [
        "Rabies"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/rabies/php/protecting-public-health/",
      "title": "Rabies in the United States",
      "description": "Public CDC surveillance data hub providing data or related information for Rabies.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Rabies"
        }
      ],
      "keyword": [
        "Rabies",
        "Surveillance data hub",
        "DHCPP"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/rabies/php/protecting-public-health/",
        "title": "Rabies in the United States"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Global Rabies Distribution",
          "description": "Access point for Global Rabies Distribution.",
          "accessURL": "https://www.cdc.gov/rabies/around-world/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Rabies cases",
          "description": "CDC data visualization titled Rabies cases related to Rabies | Rabies Vaccine. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/rabies/php/protecting-public-health/",
          "downloadURL": "https://www.cdc.gov/rabies/php/protecting-public-health/data-viz/rabies-cases.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-09-29"
        },
        {
          "@type": "Distribution",
          "title": "Rabies Country Risk Dashboard",
          "description": "CDC data visualization titled Rabies Country Risk Dashboard related to Rabies | Rabies Vaccine. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/rabies/php/protecting-public-health/",
          "downloadURL": "https://www.cdc.gov/rabies/resources/countries-risk/rabies-data-editor.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-15"
        },
        {
          "@type": "Distribution",
          "title": "Rabies Country Risk Dashboard",
          "description": "CDC data visualization titled Rabies Country Risk Dashboard related to Rabies | Rabies Vaccine. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/rabies/php/protecting-public-health/",
          "downloadURL": "https://www.cdc.gov/rabies/resources/countries-risk/rabies-data-editor_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-04-15"
        },
        {
          "@type": "Distribution",
          "title": "Rabies Country Risk Dashboard Spanish",
          "description": "CDC data visualization titled Rabies Country Risk Dashboard Spanish related to Rabies | Rabies Vaccine. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/rabies/php/protecting-public-health/",
          "downloadURL": "https://www.cdc.gov/rabies/resources/countries-risk/rabies-data-editor-sp.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-05-15"
        },
        {
          "@type": "Distribution",
          "title": "Rabies in the United States",
          "description": "Access point for Rabies in the United States.",
          "accessURL": "https://www.cdc.gov/rabies/php/protecting-public-health/",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "Rabies Status by Country",
          "description": "Access point for Rabies Status by Country.",
          "accessURL": "https://www.cdc.gov/rabies/country-data/index.html",
          "format": "Country decision-support tool"
        },
        {
          "@type": "Distribution",
          "title": "Rabies Vital Signs Data Visualization",
          "description": "Access point for Rabies Vital Signs Data Visualization.",
          "accessURL": "https://www.cdc.gov/vitalsigns/rabies/data-visualization.html",
          "format": "Historical visualization"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/rift-valley-fever/about/",
      "title": "Rift Valley Fever Distribution",
      "description": "Map depicting Rift Valley Fever distribution in Africa",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Viral hemorrhagic fevers"
        }
      ],
      "keyword": [
        "Rift Valley fever"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/rocky-mountain-spotted-fever/data-research/facts-stats/index.html",
      "title": "Spotted Fever Rickettsiosis Data and Statistics",
      "description": "Public CDC interactive dashboard providing data or related information for Spotted fever rickettsiosis. Source inventory cadence or coverage note: Through latest published surveillance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CDC Info",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Spotted fever rickettsiosis"
        }
      ],
      "keyword": [
        "Spotted fever rickettsiosis",
        "Interactive dashboard",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/rocky-mountain-spotted-fever/data-research/facts-stats/index.html",
        "title": "Spotted Fever Rickettsiosis Data and Statistics"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Case Fatality Rate of Ehrlichia chaffeensis by Age Group, 2008-2013",
          "description": "CDC data visualization titled Case Fatality Rate of Ehrlichia chaffeensis by Age Group, 2008-2013. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/rocky-mountain-spotted-fever/data-research/facts-stats/index.html",
          "downloadURL": "https://www.cdc.gov/rocky-mountain-spotted-fever/hcp/doxycycline/case-fatality-rate-of-Ehrlichia-chaffeensis-by-age-group-2008-2013.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-12-28"
        },
        {
          "@type": "Distribution",
          "title": "Case Fatality Rate of Spotted Fever Rickettsiosis by Age Group, 2008-2013",
          "description": "CDC data visualization titled Case Fatality Rate of Spotted Fever Rickettsiosis by Age Group, 2008-2013. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/rocky-mountain-spotted-fever/data-research/facts-stats/index.html",
          "downloadURL": "https://www.cdc.gov/rocky-mountain-spotted-fever/hcp/doxycycline/case-fatality-rate-of-spotted-fever-rickettsiosis-by-age-group-2008-2013.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-12-28"
        },
        {
          "@type": "Distribution",
          "title": "Spotted Fever Rickettsiosis Data and Statistics",
          "description": "Access point for Spotted Fever Rickettsiosis Data and Statistics.",
          "accessURL": "https://www.cdc.gov/rocky-mountain-spotted-fever/data-research/facts-stats/index.html",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/schistosomiasis/data-research/facts-stats/index.html",
      "title": "Schistosomiasis Facts and Distribution",
      "description": "Public CDC map / static data page providing data or related information for Schistosomiasis.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Division of Parasitic Diseases and Malaria",
          "hasEmail": "mailto:parasites@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Parasitic Diseases and Malaria (DPDM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Schistosomiasis"
        }
      ],
      "keyword": [
        "Schistosomiasis",
        "Map / static data page",
        "DPDM"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/schistosomiasis/data-research/facts-stats/index.html",
        "title": "Schistosomiasis Facts and Distribution"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Schistosomiasis Facts and Distribution",
          "description": "Access point for Schistosomiasis Facts and Distribution.",
          "accessURL": "https://www.cdc.gov/schistosomiasis/data-research/facts-stats/index.html",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/sle/data-maps/",
      "title": "St. Louis encephalitis Data and Maps",
      "description": "Current and historic ArboNET data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ArboNET Surveillance Team",
          "hasEmail": "mailto:dvbid2@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
        "subOrganizationOf": [
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            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "St. Louis encephalitis"
        }
      ],
      "keyword": [
        "St. Louis encephalitis",
        "Interactive data family",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/sle/data-maps/",
        "title": "St. Louis encephalitis Data and Maps"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CT 2022",
          "description": "CDC data visualization titled CT 2022 related to Rickettsial Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/sle/data-maps/",
          "downloadURL": "https://www.cdc.gov/sle/statistics/final-pages/data-visuals/ct-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-10"
        },
        {
          "@type": "Distribution",
          "title": "Cumulative Data",
          "description": "CDC data visualization titled Cumulative Data related to Rickettsial Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/sle/data-maps/",
          "downloadURL": "https://www.cdc.gov/sle/statistics/final-pages/data-visuals/cumulative-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Current Data",
          "description": "CDC data visualization titled Current Data related to Rickettsial Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/sle/data-maps/",
          "downloadURL": "https://www.cdc.gov/sle/statistics/final-pages/data-visuals/current-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-07-28"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite Neuroinvasive Cases",
          "description": "CDC data visualization titled Data Bite Neuroinvasive Cases related to Rickettsial Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/sle/data-maps/",
          "downloadURL": "https://www.cdc.gov/sle/statistics/final-pages/data-visuals/data-bite-neuroinvasive-cases.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-18"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite States Reporting Cases",
          "description": "CDC data visualization titled Data Bite States Reporting Cases related to Rickettsial Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/sle/data-maps/",
          "downloadURL": "https://www.cdc.gov/sle/statistics/final-pages/data-visuals/data-bite-states-reporting-cases.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-18"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite Total Human Cases",
          "description": "CDC data visualization titled Data Bite Total Human Cases related to Rickettsial Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/sle/data-maps/",
          "downloadURL": "https://www.cdc.gov/sle/statistics/final-pages/data-visuals/data-bite-total-cases.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-18"
        },
        {
          "@type": "Distribution",
          "title": "Explore County Data",
          "description": "CDC data visualization titled Explore County Data related to Rickettsial Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/sle/data-maps/",
          "downloadURL": "https://www.cdc.gov/sle/data-maps/visuals-2025/explore-county-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-12"
        },
        {
          "@type": "Distribution",
          "title": "Explore County Data",
          "description": "CDC data visualization titled Explore County Data related to Rickettsial Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/sle/data-maps/",
          "downloadURL": "https://www.cdc.gov/sle/statistics/final-pages/data-visuals/explore-county-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Explore Human Data",
          "description": "CDC data visualization titled Explore Human Data related to Rickettsial Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/sle/data-maps/",
          "downloadURL": "https://www.cdc.gov/sle/statistics/final-pages/data-visuals/explore-human-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
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          "accessURL": "https://www.cdc.gov/sle/data-maps/",
          "downloadURL": "https://www.cdc.gov/sle/statistics/final-pages/data-visuals/explore-nonhuman-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-10"
        },
        {
          "@type": "Distribution",
          "title": "Historic Last Updated",
          "description": "CDC data visualization titled Historic Last Updated related to Rickettsial Diseases. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/sle/data-maps/",
          "downloadURL": "https://www.cdc.gov/sle/data-maps/visuals-2025/historic-last-updated.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-03"
        },
        {
          "@type": "Distribution",
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          "description": "Current and historic ArboNET data.",
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          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "St. Louis encephalitis Data and Maps application",
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          "accessURL": "https://www.cdc.gov/sle/data-maps/current-year-data.html",
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        },
        {
          "@type": "Distribution",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
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      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
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        "DHCPP"
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      "landingPage": {
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        {
          "@type": "Distribution",
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          "format": "Interactive web application"
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        {
          "@type": "Distribution",
          "title": "Smallpox Spread and Eradication Timeline",
          "description": "Access point for Smallpox Spread and Eradication Timeline.",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
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        {
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      "accessRights": "public",
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      ],
      "inventoried": "2026-09-27"
    },
    {
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      "identifier": "https://www.cdc.gov/ticks/data-research/facts-stats/blacklegged-tick-surveillance.html",
      "title": "Blacklegged Tick Surveillance",
      "description": "Blacklegged Tick Surveillance: county-level surveillance data showing the geographic distribution of the blacklegged tick (Ixodes scapularis, a primary Lyme disease vector) in the US.",
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        {
          "@type": "Kind",
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      "accessRights": "public",
      "keyword": [
        "Tick surveillance"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/ticks/data-research/facts-stats/geographic-distribution-of-tickborne-disease-cases.html",
      "title": "Geographic Distribution of Tickborne Disease Cases",
      "description": "Geographic Distribution of Tickborne Disease Cases: county-of-residence-level map/data on reported cases of selected tickborne diseases across the United States.",
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        {
          "@type": "Kind",
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      "accessRights": "public",
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        "Tickborne diseases"
      ],
      "inventoried": "2026-09-27"
    },
    {
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      "identifier": "https://www.cdc.gov/ticks/data-research/facts-stats/index.html",
      "title": "Tick Data Hub",
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        {
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            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Ticks and tickborne disease"
        }
      ],
      "keyword": [
        "Ticks and tickborne disease",
        "Program / data index",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/ticks/data-research/facts-stats/index.html",
        "title": "Tick Data Hub"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "American dog tick ArcGIS item",
          "description": "Child technical endpoint; do not count as a separate end-user platform.",
          "accessURL": "https://www.arcgis.com/home/item.html?id=c8b5b104f42345c79c23e11a15b417d9",
          "format": "Technical GIS endpoint"
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        {
          "@type": "Distribution",
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          "description": "Access point for American Dog Tick Surveillance.",
          "accessURL": "https://www.cdc.gov/ticks/data-research/facts-stats/american-dog-tick-surveillance.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
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          "description": "Access point for Blacklegged Tick Surveillance.",
          "accessURL": "https://www.cdc.gov/ticks/data-research/facts-stats/blacklegged-tick-surveillance.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Geographic Distribution of Tickborne Disease Cases",
          "description": "Access point for Geographic Distribution of Tickborne Disease Cases.",
          "accessURL": "https://www.cdc.gov/ticks/data-research/facts-stats/geographic-distribution-of-tickborne-disease-cases.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Ixodes pathogen county-status ArcGIS layer",
          "description": "Child technical endpoint; do not count as a separate end-user platform.",
          "accessURL": "https://www.arcgis.com/home/item.html?id=aa859cd492cd41b483b0bdbb47a55dec",
          "format": "Technical GIS endpoint"
        },
        {
          "@type": "Distribution",
          "title": "Lone Star Tick Surveillance",
          "description": "Access point for Lone Star Tick Surveillance.",
          "accessURL": "https://www.cdc.gov/ticks/data-research/facts-stats/lone-star-tick-surveillance.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Selected tickborne diseases county ArcGIS layer",
          "description": "Child technical endpoint; do not count as a separate end-user platform.",
          "accessURL": "https://www.arcgis.com/home/item.html?id=577177a62083424db9d1197607889d04",
          "format": "Technical GIS endpoint"
        },
        {
          "@type": "Distribution",
          "title": "Tick Bite Data Tracker",
          "description": "Access point for Tick Bite Data Tracker.",
          "accessURL": "https://www.cdc.gov/ticks/data-research/facts-stats/tick-bite-data-tracker.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Tick Data Hub",
          "description": "Access point for Tick Data Hub.",
          "accessURL": "https://www.cdc.gov/ticks/data-research/facts-stats/index.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "Tick Surveillance Data Sets",
          "description": "Access point for Tick Surveillance Data Sets.",
          "accessURL": "https://www.cdc.gov/ticks/data-research/facts-stats/tick-surveillance-data-sets.html",
          "format": "Downloadable analytical tool"
        },
        {
          "@type": "Distribution",
          "title": "Tickborne Disease Surveillance Data Summary",
          "description": "Access point for Tickborne Disease Surveillance Data Summary.",
          "accessURL": "https://www.cdc.gov/ticks/data-research/facts-stats/tickborne-disease-surveillance-data-summary.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Tickborne Pathogen Surveillance",
          "description": "Access point for Tickborne Pathogen Surveillance.",
          "accessURL": "https://www.cdc.gov/ticks/data-research/facts-stats/tickborne-pathogen-surveillance-1.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Western blacklegged tick ArcGIS item",
          "description": "Child technical endpoint; do not count as a separate end-user platform.",
          "accessURL": "https://www.arcgis.com/home/item.html?id=10c469b7aa2a415c8f9b4b60fcab84de",
          "format": "Technical GIS endpoint"
        },
        {
          "@type": "Distribution",
          "title": "Western Blacklegged Tick Surveillance",
          "description": "Access point for Western Blacklegged Tick Surveillance.",
          "accessURL": "https://www.cdc.gov/ticks/data-research/facts-stats/western-blacklegged-tick-surveillance.html",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/ticks/data-research/facts-stats/lone-star-tick-surveillance.html",
      "title": "Lone Star Tick Surveillance",
      "description": "Lone Star Tick Surveillance: county-level surveillance data showing the geographic distribution of the lone star tick (Amblyomma americanum) in the United States.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Rickettsial Zoonoses Branch",
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        ]
      },
      "accessRights": "public",
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        "Tick surveillance"
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    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/ticks/data-research/facts-stats/tick-bite-data-tracker.html",
      "title": "Tick Bite Data Tracker",
      "description": "Tick Bite Data Tracker: uses syndromic surveillance data (emergency department visit patterns) to track tick bite-related healthcare visits/trends across the US.",
      "contactPoint": [
        {
          "@type": "Kind",
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      "publisher": {
        "@type": "Organization",
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            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Tick bites"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/ticks/data-research/facts-stats/tickborne-disease-surveillance-data-summary.html",
      "title": "Tickborne Disease Surveillance Data Summary",
      "description": "Tickborne Disease Surveillance Data Summary: reported case counts of selected nationally notifiable tickborne diseases (e.g., Lyme, anaplasmosis, ehrlichiosis, RMSF) in the United States.",
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        {
          "@type": "Kind",
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        }
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            ]
          }
        ]
      },
      "accessRights": "public",
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/ticks/data-research/facts-stats/tickborne-pathogen-surveillance-1.html",
      "title": "Tickborne Pathogen Surveillance",
      "description": "Tickborne Pathogen Surveillance: reported distribution of blacklegged ticks found carrying select pathogens (e.g., Borrelia burgdorferi, the Lyme disease agent) across the United States.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Bacterial Diseases Branch",
          "hasEmail": "mailto:ticksurveillance@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
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              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Pathogen surveillance"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/ticks/data-research/facts-stats/western-blacklegged-tick-surveillance.html",
      "title": "Western Blacklegged Tick Surveillance",
      "description": "Western Blacklegged Tick Surveillance: county-level surveillance data showing the geographic distribution of the western blacklegged tick (Ixodes pacificus) in the US.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Bacterial Diseases Branch",
          "hasEmail": "mailto:ticksurveillance@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
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        "subOrganizationOf": [
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                "@type": "Organization",
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              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Tick surveillance"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/index.html",
      "title": "Traveler-Based Genomic Surveillance Data",
      "description": "Public CDC interactive data page providing data or related information for Traveler-based surveillance. Source inventory cadence or coverage note: Weekly.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Travel Health Public Inquiries (CDC)",
          "hasEmail": "mailto:travelhealthpi@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Global Migration Health (DGMH)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Traveler-based surveillance"
        }
      ],
      "keyword": [
        "Traveler-based surveillance",
        "Interactive data page",
        "DGMH"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/index.html",
        "title": "Traveler-Based Genomic Surveillance Data"
      },
      "status": "active",
      "accrualPeriodicity": "weekly",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "TGS Dashboard",
          "description": "CDC data visualization titled TGS Dashboard. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/index.html",
          "downloadURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/TGS_Dashboard_mobile_1_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-05-18"
        },
        {
          "@type": "Distribution",
          "title": "TGS Dashboard",
          "description": "CDC data visualization titled TGS Dashboard. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/index.html",
          "downloadURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/TGS_Dashboard_mobile_1_3.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-18"
        },
        {
          "@type": "Distribution",
          "title": "TGS Dashboard",
          "description": "CDC data visualization titled TGS Dashboard. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/index.html",
          "downloadURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/TGS_Dashboard_mobile_1_4.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-18"
        },
        {
          "@type": "Distribution",
          "title": "TGS Dashboard",
          "description": "CDC data visualization titled TGS Dashboard. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/index.html",
          "downloadURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/TGS_Dashboard_mobile_2.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-12"
        },
        {
          "@type": "Distribution",
          "title": "TGS Dashboard",
          "description": "CDC data visualization titled TGS Dashboard. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/index.html",
          "downloadURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/TGS_Dashboard_mobile_3.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-13"
        },
        {
          "@type": "Distribution",
          "title": "TGS Dashboard",
          "description": "CDC data visualization titled TGS Dashboard. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/index.html",
          "downloadURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/TGS_Dashboard_mobile_4.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-27"
        },
        {
          "@type": "Distribution",
          "title": "TGS Dashboard",
          "description": "CDC data visualization titled TGS Dashboard. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/index.html",
          "downloadURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/TGS_Dashboard_mobile_5.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-07-11"
        },
        {
          "@type": "Distribution",
          "title": "TGS_Dashboard_Manual",
          "description": "CDC data visualization titled TGS_Dashboard_Manual. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/index.html",
          "downloadURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/tgs_dashboard_manual.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-01-09"
        },
        {
          "@type": "Distribution",
          "title": "TGS_Dashboard_Manual",
          "description": "CDC data visualization titled TGS_Dashboard_Manual. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/index.html",
          "downloadURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/tgs_dashboard_manual_2.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-01-16"
        },
        {
          "@type": "Distribution",
          "title": "TGS_Dashboard_Manual",
          "description": "CDC data visualization titled TGS_Dashboard_Manual. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/index.html",
          "downloadURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/tgs_dashboard_manual_3.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-01-23"
        },
        {
          "@type": "Distribution",
          "title": "TGS_Dashboard_Manual",
          "description": "CDC data visualization titled TGS_Dashboard_Manual. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/index.html",
          "downloadURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/tgs_dashboard_manual_4.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-02-06"
        },
        {
          "@type": "Distribution",
          "title": "TGS_Dashboard_Manual",
          "description": "CDC data visualization titled TGS_Dashboard_Manual. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/index.html",
          "downloadURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/tgs_dashboard_manual_5.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-02-13"
        },
        {
          "@type": "Distribution",
          "title": "Traveler-Based Genomic Surveillance Data",
          "description": "Access point for Traveler-Based Genomic Surveillance Data.",
          "accessURL": "https://www.cdc.gov/traveler-genomic-surveillance/php/data-vis/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Traveler-Based Genomic Surveillance Data related resource",
          "description": "Access point for Traveler-Based Genomic Surveillance Data.",
          "accessURL": "https://www.cdc.gov/traveler-genomic-surveillance/about/index.html",
          "format": "Web resource"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/tribal-health/cooperative-agreements/strengthening-public-health-systems-and-services-in-indian-country.html",
      "title": "Strengthening Public Health Systems and Services in Indian Country Cooperative Agreement Data",
      "description": "Publicly available data describing recipients of the Strengthening Public Health Systems and Services in Indian Country cooperative agreement (CDC-RFA-TO-23-0001). The dataset includes recipient funding information, award amounts, public health topic areas, project titles, recipient characteristics, and funding period information for tribal nations and tribal organizations participating in the cooperative agreement",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Tribal CoAg Team",
          "hasEmail": "mailto:tribalcoag@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Public Health Infrastructure Center (PHIC), Division of Jurisdictional Support (DJS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-06-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        }
      ],
      "keyword": [
        "Tribal Health",
        "Indian Country",
        "Cooperative Agreement",
        "Public Health Infrastructure",
        "Funding"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/tribal-health/cooperative-agreements/strengthening-public-health-systems-and-services-in-indian-country.html",
        "title": "Strengthening Public Health Systems and Services in Indian Country"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention"
        }
      ],
      "rights": [
        "Publicly available"
      ],
      "creator": {
        "@type": "Agent",
        "name": "Division of Jurisdictional Support"
      },
      "status": "active",
      "accrualPeriodicity": "annual",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/tribal-health/cooperative-agreements/strengthening-public-health-systems-and-services-in-indian-country.html",
        "title": "Strengthening Public Health Systems and Services in Indian Country"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Strengthening Public Health Systems and Services in Indian Country Recipients",
          "description": "Public webpage describing the cooperative agreement, participating tribal nations and tribal organizations, funding strategy, recipient funding, and links to related resources",
          "accessURL": "https://www.cdc.gov/tribal-health/cooperative-agreements/strengthening-public-health-systems-and-services-in-indian-country.html",
          "format": "HTML",
          "mediaType": "text/html",
          "rights": [
            "Public"
          ],
          "modified": "2026-06-22",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted",
              "restrictionNote": "Publicly available dataset"
            }
          ]
        },
        {
          "@type": "Distribution",
          "title": "FY2025 Public Health Topic Funding Table",
          "description": "Downloadable PDF showing FY2025 funds (also FY2024, FY2023) awarded by public health topic and project title, including funding amounts by topic and recipient project information",
          "accessURL": "https://www.cdc.gov/tribal-health/cooperative-agreements/strengthening-public-health-systems-and-services-in-indian-country.html",
          "downloadURL": "https://www.cdc.gov/tribal-health/media/pdfs/2026/02/FY-2025-Public-Health-Topic-Funding-Table.pdf",
          "format": "PDF",
          "mediaType": "application/PDF",
          "rights": [
            "Public"
          ],
          "modified": "2026-06-22",
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted",
              "restrictionNote": "Publicly available dataset"
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/tularemia/data-research/index.html",
      "title": "Tularemia Data and Statistics",
      "description": "Public CDC interactive data page providing data or related information for Tularemia.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Tularemia"
        }
      ],
      "keyword": [
        "Tularemia",
        "Interactive data page",
        "DHCPP"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/tularemia/data-research/index.html",
        "title": "Tularemia Data and Statistics"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Age & Sex Reported Cases - U.S. 2001-2022",
          "description": "CDC data visualization titled Age & Sex Reported Cases - U.S. 2001-2022 related to Ticks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/tularemia/data-research/index.html",
          "downloadURL": "https://www.cdc.gov/tularemia/modules/data-research/age-sex-reported-cases.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-11"
        },
        {
          "@type": "Distribution",
          "title": "Monthly Reported Cases - U.S. 2001-2022",
          "description": "CDC data visualization titled Monthly Reported Cases - U.S. 2001-2022 related to Ticks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/tularemia/data-research/index.html",
          "downloadURL": "https://www.cdc.gov/tularemia/modules/data-research/monthly-reported-cases.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-11"
        },
        {
          "@type": "Distribution",
          "title": "Tularemia Data and Statistics",
          "description": "Access point for Tularemia Data and Statistics.",
          "accessURL": "https://www.cdc.gov/tularemia/data-research/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Yearly Reported Cases - U.S. 1950-2022",
          "description": "CDC data visualization titled Yearly Reported Cases - U.S. 1950-2022 related to Ticks. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/tularemia/data-research/index.html",
          "downloadURL": "https://www.cdc.gov/tularemia/modules/data-research/yearly-reported-cases.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-03-11"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/typhus/data-research/facts-stats/index.html",
      "title": "Flea-borne Typhus Historical Trends",
      "description": "Collection of CDC data visualizations represented in the WCMS report for Typhus. Example components include Number of annual typhus group rickettsiosis cases, 1930-1988.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Rickettsial Zoonoses Branch",
          "hasEmail": "mailto:rzbepidiag@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Typhus Fever"
        }
      ],
      "keyword": [
        "Typhus Fever",
        "data visualization",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/typhus/data-research/facts-stats/index.html",
        "title": "Flea-borne Typhus Historical Trends"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Number of annual typhus group rickettsiosis cases, 1930-1988",
          "description": "CDC data visualization titled Number of annual typhus group rickettsiosis cases, 1930-1988 related to Typhus Fever. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/typhus/data-research/facts-stats/index.html",
          "downloadURL": "https://www.cdc.gov/typhus/modules/murine-chart.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-08-14"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/vaccine-safety-systems/vsd/",
      "title": "Vaccine Safety Datalink",
      "description": "CDC restricted research data system providing information about or access to Vaccine safety.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "VSD Data",
          "hasEmail": "mailto:vsddata@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Healthcare Quality Promotion (DHQP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vaccine safety"
        }
      ],
      "keyword": [
        "Vaccine safety",
        "Restricted research data system",
        "DHQP"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vaccine-safety-systems/vsd/",
        "title": "Vaccine Safety Datalink"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CISA Project Sites - US Map Data Module",
          "description": "CDC data visualization titled CISA Project Sites - US Map Data Module related to Vaccine Safety. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/vaccine-safety-systems/vsd/",
          "downloadURL": "https://www.cdc.gov/vaccine-safety-systems/modules/CISA-Project-Sites-USMap-Data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-05-21"
        },
        {
          "@type": "Distribution",
          "title": "Vaccine Safety Datalink",
          "description": "Access point for Vaccine Safety Datalink.",
          "accessURL": "https://www.cdc.gov/vaccine-safety-systems/vsd/",
          "format": "Restricted research data system"
        },
        {
          "@type": "Distribution",
          "title": "Vaccine Safety Datalink related resource",
          "description": "Access point for Vaccine Safety Datalink.",
          "accessURL": "https://www.cdc.gov/vaccine-safety-systems/vsd/access-use.html",
          "format": "Web resource"
        },
        {
          "@type": "Distribution",
          "title": "VSD Member Sites (cities & states map)",
          "description": "CDC data visualization titled VSD Member Sites (cities & states map) related to Vaccine Safety. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/vaccine-safety-systems/vsd/",
          "downloadURL": "https://www.cdc.gov/vaccine-safety/modules/VSD-Member-Sites-map-states-cities.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-04-29"
        },
        {
          "@type": "Distribution",
          "title": "VSD Member Sites - US Map Data Module",
          "description": "CDC data visualization titled VSD Member Sites - US Map Data Module related to Vaccine Safety. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/vaccine-safety-systems/vsd/",
          "downloadURL": "https://www.cdc.gov/vaccine-safety-systems/modules/VSD-Member-Sites-USMap-Data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-17"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/valley-fever/areas/index.html",
      "title": "Areas with Valley Fever",
      "description": "Public CDC map / static data page providing data or related information for Valley fever.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Valley fever"
        }
      ],
      "keyword": [
        "Valley fever",
        "Map / static data page",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/valley-fever/areas/index.html",
        "title": "Areas with Valley Fever"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Areas with Valley Fever",
          "description": "Access point for Areas with Valley Fever.",
          "accessURL": "https://www.cdc.gov/valley-fever/areas/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Cocci chart",
          "description": "CDC data visualization titled Cocci chart related to Valley Fever (Coccidioidomycosis). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/valley-fever/areas/index.html",
          "downloadURL": "https://www.cdc.gov/valley-fever/media/visualizations/cocci.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-03-04"
        },
        {
          "@type": "Distribution",
          "title": "Cocci chart",
          "description": "CDC data visualization titled Cocci chart related to National Center for Emerging and Zoonotic Infectious Diseases (NCEZID). Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/valley-fever/areas/index.html",
          "downloadURL": "https://www.cdc.gov/valley-fever/php/statistics/modules/cocci.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-04-18"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/variant-creutzfeldt-jakob/about/index.html",
      "title": "Variant CJD Reported Cases",
      "description": "Text description of case reports of variant CJD in the US.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Prion diseases"
        }
      ],
      "keyword": [
        "Prion diseases"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/vector-borne-diseases/php/arbonet/index.html",
      "title": "ArboNET Overview",
      "description": "Underlying surveillance system; public disease-specific outputs are separate.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ArboNET Surveillance Team",
          "hasEmail": "mailto:dvbid2@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Arboviral diseases"
        }
      ],
      "keyword": [
        "Arboviral diseases",
        "Surveillance system / index",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vector-borne-diseases/php/arbonet/index.html",
        "title": "ArboNET Overview"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "ArboNET Overview",
          "description": "Underlying surveillance system; public disease-specific outputs are separate.",
          "accessURL": "https://www.cdc.gov/vector-borne-diseases/php/arbonet/index.html",
          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/vibrio/php/surveillance/annual-summary-2024.html",
      "title": "COVIS 2024 Annual Summary",
      "description": "COVIS (Cholera and Other Vibrio Illness Surveillance) Annual Summary for 2024: summarizes US Vibrio infection case counts and trends (e.g., species, geographic distribution, seafood/water exposures) reported to CDC for that year.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "vibriosis",
        "cholera"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/vibrio/php/surveillance/index.html",
      "title": "COVIS Surveillance Hub",
      "description": "Public CDC data / report hub providing data or related information for Vibriosis and cholera.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
          "hasEmail": "mailto:SIMSO@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
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          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vibriosis and cholera"
        }
      ],
      "keyword": [
        "Vibriosis and cholera",
        "Data / report hub",
        "DFWED"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/vibrio/php/surveillance/index.html",
        "title": "COVIS Surveillance Hub"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2024-Figure 3a",
          "description": "CDC data visualization titled 2024-Figure 3a related to Vibrio parahaemolyticus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/vibrio/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/vibrio/modules/covissummary/2024/figure3a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-11"
        },
        {
          "@type": "Distribution",
          "title": "COVIS 2019 Annual Summary",
          "description": "Access point for COVIS 2019 Annual Summary.",
          "accessURL": "https://www.cdc.gov/vibrio/php/surveillance/annual-summary-2019.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "COVIS 2024 Annual Summary",
          "description": "Access point for COVIS 2024 Annual Summary.",
          "accessURL": "https://www.cdc.gov/vibrio/php/surveillance/annual-summary-2024.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "COVIS Surveillance Hub",
          "description": "Access point for COVIS Surveillance Hub.",
          "accessURL": "https://www.cdc.gov/vibrio/php/surveillance/index.html",
          "format": "Web page"
        },
        {
          "@type": "Distribution",
          "title": "Figure 1b",
          "description": "CDC data visualization titled Figure 1b related to Vibrio parahaemolyticus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/vibrio/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/vibrio/modules/covissummary/2019/figure1b.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-09-29"
        },
        {
          "@type": "Distribution",
          "title": "Figure 1c",
          "description": "CDC data visualization titled Figure 1c related to Vibrio parahaemolyticus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/vibrio/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/vibrio/modules/covissummary/2019/figure1c.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-09-29"
        },
        {
          "@type": "Distribution",
          "title": "Figure 2a",
          "description": "CDC data visualization titled Figure 2a related to Vibrio parahaemolyticus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/vibrio/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/vibrio/modules/covissummary/2019/figure2a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-09-19"
        },
        {
          "@type": "Distribution",
          "title": "Figure 2a",
          "description": "CDC data visualization titled Figure 2a related to Vibrio parahaemolyticus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/vibrio/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/vibrio/modules/covissummary/2024/figure2a_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-11"
        },
        {
          "@type": "Distribution",
          "title": "Figure 2b",
          "description": "CDC data visualization titled Figure 2b related to Vibrio parahaemolyticus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/vibrio/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/vibrio/modules/covissummary/2019/figure2b.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-09-19"
        },
        {
          "@type": "Distribution",
          "title": "Figure 2c",
          "description": "CDC data visualization titled Figure 2c related to Vibrio parahaemolyticus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/vibrio/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/vibrio/modules/covissummary/2019/figure2c.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-09-19"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3a",
          "description": "CDC data visualization titled Figure 3a related to Vibrio parahaemolyticus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/vibrio/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/vibrio/modules/covissummary/2019/figure3a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-09-19"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3b",
          "description": "CDC data visualization titled Figure 3b related to Vibrio parahaemolyticus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/vibrio/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/vibrio/modules/covissummary/2019/figure3b.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-09-19"
        },
        {
          "@type": "Distribution",
          "title": "Figure 3c",
          "description": "CDC data visualization titled Figure 3c related to Vibrio parahaemolyticus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/vibrio/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/vibrio/modules/covissummary/2019/figure3c.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-09-19"
        },
        {
          "@type": "Distribution",
          "title": "Figure1a",
          "description": "CDC data visualization titled Figure1a related to Vibrio parahaemolyticus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/vibrio/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/vibrio/modules/covissummary/2019/figure1a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2023-09-29"
        },
        {
          "@type": "Distribution",
          "title": "Figure1a",
          "description": "CDC data visualization titled Figure1a related to Vibrio parahaemolyticus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/vibrio/php/surveillance/index.html",
          "downloadURL": "https://www.cdc.gov/vibrio/modules/covissummary/2024/figure1a.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-03-11"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/viral-hemorrhagic-fevers/about/index.html",
      "title": "Viral Hemorrhagic Fevers Overview",
      "description": "Public CDC disease / distribution index providing data or related information for Viral hemorrhagic fevers.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Viral hemorrhagic fevers"
        }
      ],
      "keyword": [
        "Viral hemorrhagic fevers",
        "Disease / distribution index",
        "DHCPP"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/viral-hemorrhagic-fevers/about/index.html",
        "title": "Viral Hemorrhagic Fevers Overview"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Chapare Hemorrhagic Fever Case History",
          "description": "Access point for Chapare Hemorrhagic Fever Case History.",
          "accessURL": "https://www.cdc.gov/chapare/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Crimean-Congo Hemorrhagic Fever Distribution",
          "description": "Access point for Crimean-Congo Hemorrhagic Fever Distribution.",
          "accessURL": "https://www.cdc.gov/crimean-congo-hemorrhagic/about/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Hendra Virus Cases and Distribution",
          "description": "Access point for Hendra Virus Cases and Distribution.",
          "accessURL": "https://www.cdc.gov/hendra-virus/about/",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Lassa Fever Distribution",
          "description": "Access point for Lassa Fever Distribution.",
          "accessURL": "https://www.cdc.gov/lassa-fever/about/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Nipah Virus Distribution and Outbreaks",
          "description": "Access point for Nipah Virus Distribution and Outbreaks.",
          "accessURL": "https://www.cdc.gov/nipah-virus/about/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Omsk Hemorrhagic Fever Distribution",
          "description": "Access point for Omsk Hemorrhagic Fever Distribution.",
          "accessURL": "https://www.cdc.gov/omsk-fever/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Rift Valley Fever Distribution",
          "description": "Access point for Rift Valley Fever Distribution.",
          "accessURL": "https://www.cdc.gov/rift-valley-fever/about/",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Viral Hemorrhagic Fevers Overview",
          "description": "Access point for Viral Hemorrhagic Fevers Overview.",
          "accessURL": "https://www.cdc.gov/viral-hemorrhagic-fevers/about/index.html",
          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/vitalsigns/rabies/data-visualization.html",
      "title": "Rabies Vital Signs Data Visualization",
      "description": "Common carriers of rabies by location in the US and historical changes in animals with rabies reported.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DHCPP Informatics Team",
          "hasEmail": "mailto:DHCPPInformatics@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of HIgh-Consequence Pathogens and Pathology (DHCPP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Rabies"
        }
      ],
      "keyword": [
        "Rabies"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/wastewater/emerging-viruses/h5.html",
      "title": "Avian Influenza A(H5) Wastewater Data",
      "description": "Public CDC dataset / api providing data or related information for Wastewater surveillance.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National Wastewater Surveillance System (NWSS)",
          "hasEmail": "mailto:NWSS@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Infectious Disease Readiness and Innovation (DIDRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Avian influenza A(H5)"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/wee/data-maps/index.html",
      "title": "Western Equine Encephalitis Data and Maps",
      "description": "Public CDC data / map page providing data or related information for Western equine encephalitis.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ArboNET Surveillance Team",
          "hasEmail": "mailto:dvbid2@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Western equine encephalitis"
        }
      ],
      "keyword": [
        "Western equine encephalitis",
        "Data / map page",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/wee/data-maps/index.html",
        "title": "Western Equine Encephalitis Data and Maps"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "WEE Human Disease Cases",
          "description": "CDC data visualization titled WEE Human Disease Cases related to Data & Statistics. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/wee/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/wee/data-maps/wee-human-disease.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-02-01"
        },
        {
          "@type": "Distribution",
          "title": "Western Equine Encephalitis Data and Maps",
          "description": "Access point for Western Equine Encephalitis Data and Maps.",
          "accessURL": "https://www.cdc.gov/wee/data-maps/index.html",
          "format": "Interactive web application"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/west-nile-virus/data-maps/index.html",
      "title": "West Nile virus Data and Maps",
      "description": "Current and historic human and non-human ArboNET data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ArboNET Surveillance Team",
          "hasEmail": "mailto:dvbid2@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "West Nile virus"
        }
      ],
      "keyword": [
        "West Nile virus",
        "Interactive data family",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/west-nile-virus/data-maps/index.html",
        "title": "West Nile virus Data and Maps"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CT 2022",
          "description": "CDC data visualization titled CT 2022. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/west-nile-virus/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/west-nile-virus/data-maps/ct-2022.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-10"
        },
        {
          "@type": "Distribution",
          "title": "Cumulative Data",
          "description": "CDC data visualization titled Cumulative Data related to West Nile Virus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/west-nile-virus/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/west-nile-virus/data-maps/cumulative-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Current Data",
          "description": "CDC data visualization titled Current Data related to West Nile Virus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/west-nile-virus/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/west-nile-virus/data-maps/current-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-05-28"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite Neuroinvasive Cases",
          "description": "CDC data visualization titled Data Bite Neuroinvasive Cases related to West Nile Virus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/west-nile-virus/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/west-nile-virus/data-maps/data-bite-neuroinvasive-caseso_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-07"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite States Reporting Cases",
          "description": "CDC data visualization titled Data Bite States Reporting Cases related to West Nile Virus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/west-nile-virus/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/west-nile-virus/data-maps/data-bite-states-reporting-cases_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-07"
        },
        {
          "@type": "Distribution",
          "title": "Data Bite Total Human Cases",
          "description": "CDC data visualization titled Data Bite Total Human Cases related to West Nile Virus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/west-nile-virus/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/west-nile-virus/data-maps/data-bite-total-cases_1.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-07"
        },
        {
          "@type": "Distribution",
          "title": "Explore County Data Cumulative",
          "description": "CDC data visualization titled Explore County Data Cumulative. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/west-nile-virus/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/west-nile-virus/data-maps/explore-yearly-county-data-cumulative.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Explore County Data Yearly",
          "description": "CDC data visualization titled Explore County Data Yearly. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/west-nile-virus/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/west-nile-virus/data-maps/explore-yearly-county-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Explore Human Data",
          "description": "CDC data visualization titled Explore Human Data. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/west-nile-virus/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/west-nile-virus/data-maps/explore-human-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-06-03"
        },
        {
          "@type": "Distribution",
          "title": "Explore Non-Human Data Cumulative",
          "description": "CDC data visualization titled Explore Non-Human Data Cumulative related to West Nile Virus Infection. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/west-nile-virus/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/west-nile-virus/data-maps/explore-nonhuman-data-cumulative.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-18"
        },
        {
          "@type": "Distribution",
          "title": "Explore Non-Human Data Yearly",
          "description": "CDC data visualization titled Explore Non-Human Data Yearly related to English. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/west-nile-virus/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/west-nile-virus/data-maps/explore-nonhuman-data-yearly.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2024-06-18"
        },
        {
          "@type": "Distribution",
          "title": "Explore Yearly Nonhuman Data",
          "description": "CDC data visualization titled Explore Yearly Nonhuman Data. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/west-nile-virus/data-maps/index.html",
          "downloadURL": "https://www.cdc.gov/west-nile-virus/data-maps/explore-yearly-nonhuman-data.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2025-06-10"
        },
        {
          "@type": "Distribution",
          "title": "West Nile virus Data and Maps",
          "description": "Current and historic human and non-human ArboNET data.",
          "accessURL": "https://www.cdc.gov/west-nile-virus/data-maps/index.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "West Nile virus Data and Maps application",
          "description": "Current and historic human and non-human ArboNET data.",
          "accessURL": "https://www.cdc.gov/west-nile-virus/data-maps/current-year-data.html",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "West Nile virus Data and Maps related resource",
          "description": "Current and historic human and non-human ArboNET data.",
          "accessURL": "https://www.cdc.gov/west-nile-virus/data-maps/historic-data.html",
          "format": "Web resource"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/yellow-book/hcp/preparing-international-travelers/yellow-fever-vaccine-and-malaria-prevention-information-by-country.html",
      "title": "Yellow Fever Vaccine and Malaria Prevention Information by Country",
      "description": "Public CDC country decision-support tool providing data or related information for Yellow fever and malaria.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Travel Health Public Inquiries (CDC)",
          "hasEmail": "mailto:travelershealthpi@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Global Migration Health (DGMH)/Division of Parasitic Diseases and Malaria (DPDM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Yellow fever and malaria"
        }
      ],
      "keyword": [
        "Yellow fever and malaria",
        "Country decision-support tool",
        "DGMH / DPDM"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/yellow-book/hcp/preparing-international-travelers/yellow-fever-vaccine-and-malaria-prevention-information-by-country.html",
        "title": "Yellow Fever Vaccine and Malaria Prevention Information by Country"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Yellow Fever Vaccine and Malaria Prevention Information by Country",
          "description": "Access point for Yellow Fever Vaccine and Malaria Prevention Information by Country.",
          "accessURL": "https://www.cdc.gov/yellow-book/hcp/preparing-international-travelers/yellow-fever-vaccine-and-malaria-prevention-information-by-country.html",
          "format": "Country decision-support tool"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cdc.gov/zika/zika-cases-us/index.html",
      "title": "Zika Cases in the United States",
      "description": "Public CDC data / statistics page providing data or related information for Zika.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ArboNET Surveillance Team",
          "hasEmail": "mailto:dvbid2@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-borne Diseases (DVBD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Zika"
        }
      ],
      "keyword": [
        "Zika",
        "Data / statistics page",
        "DVBD"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/zika/zika-cases-us/index.html",
        "title": "Zika Cases in the United States"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Global Zika",
          "description": "CDC data visualization titled Global Zika related to Zika Virus. Access URL is the parent public page; download URL is the published WCMS JSON visualization configuration.",
          "accessURL": "https://www.cdc.gov/zika/zika-cases-us/index.html",
          "downloadURL": "https://www.cdc.gov/zika/modules/geo/zika-areas-risk.json",
          "format": "JSON visualization configuration",
          "mediaType": "application/json",
          "modified": "2026-05-15"
        },
        {
          "@type": "Distribution",
          "title": "Zika Cases in the United States",
          "description": "Access point for Zika Cases in the United States.",
          "accessURL": "https://www.cdc.gov/zika/zika-cases-us/index.html",
          "format": "Web page"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.cellimagelibrary.org/home",
      "title": "Cell Image Library",
      "description": "A community repository for the ingestion, archival, preservation, management, distribution, and reuse of multi-scale microscopy data encompassing cellular networks, cellular and subcellular microdomains, and their macromolecular components. The Cell Image Library is comprised of software for researchers to upload, organize, process, and share project data prior to publication, as well as a searchable, public-facing website for users to disseminate their results and freely distribute their data for access and reuse by others. This website includes advanced cyberinfrastructure services and deep-learning based workflows, which make use of prominent high performance computing resources on the backend, allowing CIL users to automatically post-process and analyze public data at scale.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute on Aging (NIA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Imaging",
        "Neuroscience"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "http://www.cellimagelibrary.org/images/advanced_search"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.census.gov/programs-surveys/nsch.html",
      "title": "The National Survey of Children's Health (NSCH)",
      "description": "The NSCH is a national survey that focuses on the physical and emotional health of children and young adults ages 3 to 24 in the United States. The NSCH-LC followed up with households that were interviewed for the 2018 or 2019 National Survey of Children's Health. The NSCH collected information from parents and caregivers related to the health and well-being of the same children and young adults in 2023 and 2024, including access to and use of health care, family interactions, mental health, school and after-school experiences, and family economic circumstances.  Asthma related questions are asked to determine child lifetime and current asthma prevalence.  The 2025 questionnaire will include a question, sponsored by AAQB, on asthma attacks.\n\n(CDC/NCEH/DEHSP/AAQB is the source of the \"add-on\"/\"child\" survey question about asthma attacks among children; the \"parent\" survey, National Survey of Children's Health, is administered by HRSA's Maternal and Child Health Bureau)",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "HRSA's Maternal and Child Health Bureau",
          "hasEmail": "mailto:NSCH@hrsa.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Asthma and Air Quality Branch (AAQB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Maternal and Child Health Bureau (MCHB); Health Resources and Services Administration (HRSA)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.clinpgx.org/",
      "title": "ClinPGx",
      "description": "ClinPGx is a comprehensive pharmacogenomics (PGx) resource designed to (1) catalog, curate, annotate, integrate, generate and disseminate PGx knowledge, (2) advance PGx clinical implementation, (3) facilitate PGx integration with genomic medicine, and (4) promote PGx education. It is formed from the combination of the NIH-funded PharmGKB, CPIC and PharmCAT projects, with plans for expanded content, new features and tools in the near future and in the long-term. This resource enables clinicians, laboratories, researchers and patients access to PGx information. It is an affiliate grant of the Clinical Genome Resource (ClinGen), and will work with ClinGen and ClinVar to improve integration of PGx within broader genomic medicine.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Clinical research",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.clinpgx.org/downloads"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.dfam.org/home",
      "title": "Dfam",
      "description": "Dfam is an open database of repetitive DNA elements organized around multiple sequence alignments of TE families. The seed alignment provides a model-neutral representation of a sequence family from which both a traditional consensus sequence and a profile hidden Markov model (HMM) may be built.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.dfam.org/browse"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ebi.ac.uk/gwas/home",
      "title": "GWAS Catalog (NHGRI-EBI Catalog)",
      "description": "The GWAS Catalog is a freely available and FAIR knowledgebase providing detailed, structured, standardised and interoperable human genome-wide association study (GWAS) data. The Catalog contains variant-trait associations and supporting metadata for published GWAS across 5000 traits. Content is curated from publications or acquired via author submission of summary data. Significant associations and metadata are available through our website, downloads, API and iconic GWAS diagram. Full genomewide summary statistics files are available to download from our FTP site in a standard and harmonised format. Delivery and development of the Catalog has been a collaborative project between EMBL-EBI and NHGRI since 2010.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Behavioral and social sciences",
        "Clinical research",
        "Neuroscience",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ebi.ac.uk/gwas/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.echinobase.org/entry/",
      "title": "Echinobase",
      "description": "Echinobase supports the international research community by providing a centralized, integrated and easy to use web based resource to access the diverse and rich, functional genomics data of echinoderm species.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.echinobase.org/echinobase/static-echinobase/ftpDatafiles.jsp"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ecidbase.org/",
      "title": "Exposome Correlation and Interpretation Database (ECID)",
      "description": "ECID is a biomedical knowledgebase of curated inter-chemical correlations from the core chemical datasets in exposomics. These datasets are prioritized from human biomonitoring studies using targeted and untargeted assays. ECID has applications in characterizing and understanding the effects of exposome chemicals on the human health.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Environmental Health Sciences (NIEHS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Other",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ecidbase.org/about"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.gencodegenes.org/",
      "title": "GENCODE",
      "description": "The aims of the current GENCODE phase running from 2021 to 2025 are to continue to improve the coverage and accuracy of the GENCODE human and mouse gene sets by enhancing and extending the annotation of all evidence-based gene features in the human genome at a high accuracy, including protein-coding loci with alternatively splices variants, non-coding loci and pseudogenes.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.gencodegenes.org/pages/data_access.html"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.genenames.org/",
      "title": "HUGO Gene Nomenclature Committee (HGNC)",
      "description": "The HGNC is responsible for approving unique symbols and names for human loci, including protein coding genes, ncRNA genes and pseudogenes, to allow unambiguous scientific communication.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.genenames.org/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.glygen.org/about/",
      "title": "GlyGen",
      "description": "GlyGen is an international project funded by The National Institutes of Health (NIH) and The National Institute of General Medical Sciences (NIGMS) to facilitate glycoscience research by integrating diverse kinds of information related to glycoscience, including glycomics, genomics, proteomics (including glycoproteomics), cell biology, developmental biology and biochemistry.GlyGen retrieves information from multiple international data sources and integrates and harmonizes this data into a single resource. GlyGen allows for exploring this data by performing unique searches that cannot be executed in any of the existing databases alone. Information is provided in user friendly graphical web interfaces as well as machine-readable APIs.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of General Medical Sciences (NIGMS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Other",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://data.glygen.org"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.grants.nih.gov/news-events/nih-extramural-nexus-news/rss-feed",
      "title": "NIH Extramural Nexus RSS Feed",
      "description": "Public news and updates concerning NIH extramural grant policies, application and award processes, events, and resources.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Extramural Research (OER) Webmaster",
          "hasEmail": "mailto:OERWebmaster03@od.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Extramural Research (OER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "NIH Grants"
        }
      ],
      "keyword": [
        "NIH Extramural Nexus",
        "grants policy",
        "applications",
        "awards",
        "events",
        "news",
        "RSS",
        "XML"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute of Health (NIH)"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.gsbase.org/",
      "title": "GeoSpace",
      "description": "GeoSpace is a NIEHS funded biomedical knowledgebase to provide a curated collection of geospatial datasets and associated information. It enables, data discoverability, data harmonization and data re-uses of GeoSpatial datasets in the USA.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Environmental Health Sciences (NIEHS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Human"
        }
      ],
      "keyword": [
        "Behavioral and social sciences",
        "Other"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://zenodo.org/communities/geospace/records?q=&l=list&p=1&s=10&sort=newest"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.gsea-msigdb.org/gsea/msigdb",
      "title": "Molecular Signatures Database (MSigDB)",
      "description": "The Molecular Signatures Database (MSigDB) is a resource of tens of thousands of annotated gene sets for use with Gene Set Enrichment Analysis (GSEA) software, divided into Human and Mouse collections.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Cancer Institute (NCI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.gsea-msigdb.org/gsea/msigdb"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.hiv.lanl.gov/content/index",
      "title": "National Institute of Allergy and Infectious Diseases (NIAID)-DOE LANL HIV Database and Analysis Unit",
      "description": "The objective of this repository is to (a) provide a centralized resource of comprehensive data on HIV genetic sequences and immunological epitopes by compiling, annotating, and maintaining a relational database, and (b) develop HIV sequence and molecular immunology analysis methods and tools with searchable web interfaces to assist with design and development of vaccine and therapies.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Allergy and Infectious Diseases (NIAID)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Clinical research",
        "Computational biology",
        "Other",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.hiv.lanl.gov/content/index"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.homd.org/",
      "title": "Human Oral Microbiome Database (HOMD)",
      "description": "The HOMD is a NIDCR supported comprehensive database of the microbiota within the human mouth and aerodigestive tract. HOMD provides provisional naming schemes for unnamed taxa, links to sequence data with phenotypic, phylogenetic, clinical and bibliographic information, and easy to use tools for viewing genome information.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Dental and Craniofacial Research (NIDCR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.icpsr.umich.edu/web/ICPSR/series/1920",
      "title": "National Neighborhood Data Archive (NaNDA)",
      "description": "The National Neighborhood Data Archive (NaNDA) is a publicly available data archive containing contextual measures for locations across the United States. NaNDA offers theoretically derived, spatially referenced, nationwide measures of the physical and social environment. Each NaNDA dataset represents a set of measures on a single topic of interest. Examples of topics to be found in NaNDA (now or in the future) include socioeconomic disadvantage and affluence, walkability, crime, land use, recreational centers, libraries, fast food, climate, healthcare, housing, public transit, and more.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Nursing Research (NINR)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Behavioral and social sciences"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.icpsr.umich.edu/sites/icpsr/find-data"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.iedb.org/",
      "title": "Immune Epitope Database and Analysis Resource (IEDB)",
      "description": "The Immune Epitope Database and Analysis Resource (IEDB) is a freely available resource funded by NIAID. It catalogs experimental data on antibody and T cell epitopes studied in humans, non-human primates, and other animal species in the context of infectious diseases (excluding HIV), allergy, autoimmunity, transplantation and immune-mediated diseases. The IEDB Analysis Resource develops and hosts tools to assist in the prediction and analysis of epitopes.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Allergy and Infectious Diseases (NIAID)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.iedb.org/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.immgen.org/",
      "title": "Immunological Genome Project (ImmGen)",
      "description": "The Immunological Genome Project (ImmGen) is a collaborative group of immunology and computational biology laboratories that perform a thorough dissection of gene expression and its regulation in the immune system of the mouse.  The project defines gene expression signatures and modules, regulatory elements in the genome, their connectivity, and the factors that control them.  The data and metadata are publicly accessible through ImmGen‚Äôs dedicated interfaces, and may also be visualized using tools available on the website.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Allergy and Infectious Diseases (NIAID)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "http://rstats.immgen.org/DataPage/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ipdanalytics.com/",
      "title": "Rebate Monitor Database",
      "description": "The rebate monitor provides estimated total discounts for drug products and experts' opinions on rebate benchmarks, provided quarterly.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Adriana Hernandez-Viver",
          "hasEmail": "mailto:Adriana.Hernandez-Viver@ahrq.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Financing, Access, and Cost Trends (CFACT)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Agency for Healthcare Research and Quality (AHRQ)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "issued": "2026-09-11",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Prescription drugs"
        },
        {
          "@type": "Concept",
          "prefLabel": "estimated total discounts for drug products and experts' opinions on rebate benchmarks"
        }
      ],
      "keyword": [
        "Estimated discounts for drugs"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.ipdanalytics.com/rebate-monitor",
        "title": "Rebate Monitor Database"
      },
      "contributor": [
        {
          "@type": "Agent",
          "name": "IPD Analytics LLC"
        }
      ],
      "rights": [
        "This database and tools are used internally by AHRQ/CFACT to augment the MEPS or other data for statistical analyses and will not be published or available to members of the public. AHRQ will restrict estimates based on these data to the class level or three or more drugs combined and will not publish any individual drug data. The vendor will be cited as a source for estimates that rely on these data. These databates are not available publicly. They are available for purchase from IPD Analytics LLC."
      ],
      "creator": {
        "@type": "Agent",
        "name": "IPD Analytics LLC"
      },
      "status": "under development",
      "accrualPeriodicity": "annually",
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.iqvia.com/solutions/commercialization/data-and-information-management/onekey",
      "title": "OneKey Professionals Database",
      "description": "The IQVIA OneKey database provides comprehensive data on providers and organizations across all health care settings. Each provider is linked to a health care facility or practice and in turn each facility and practice is linked to it’s parent owner, providing a complete view of organizational and structure attributes of corporate entities and health systems.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Daniel Miller",
          "hasEmail": "mailto:daniel.miller@ahrq.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Financing, Access, and Cost Trends (CFACT)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Agency for Healthcare Research and Quality (AHRQ)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "issued": "2017-01-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Provider ownership"
        },
        {
          "@type": "Concept",
          "prefLabel": "organization and workforce survey data"
        }
      ],
      "keyword": [
        "Provider ownership",
        "organization",
        "health workforce",
        "health systems"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.iqvia.com/solutions/commercialization/data-and-information-management/onekey",
        "title": "OneKey Professionals Database"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Agency for Healthcare Research and Quality"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "IQVIA"
        }
      ],
      "rights": [
        "Under license agreement, AHRQ can use the data to develop the Compendium of US Health Systems and for intramural research."
      ],
      "creator": {
        "@type": "Agent",
        "name": "IQVIA"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "CONTRACT-47QRAA18D00BQ/75Q80123F80002",
          "type": "purchased data asset ID"
        }
      ],
      "status": "completed",
      "accrualPeriodicity": "annually",
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.isic-archive.com/",
      "title": "International Skin Imaging Collaboration",
      "description": "The primary clinical goal of ISIC is to support efforts to reduce melanoma-related deaths and unnecessary biopsies by improving the accuracy and efficiency of melanoma early detection.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Cancer Institute (NCI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Imaging"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.isic-archive.com"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.jax.org/research-and-faculty/resources/cre-repository",
      "title": "JAX Cre Repository",
      "description": "The JAX Cre Repository's aim is to provide the scientific community with a centralized, comprehensive set of well-characterized Cre Driver lines and related information resources. Available strains include Cre expressing strains, inducible Cre strains, Cre reporter strains, and loxP-flanked (floxed) strains.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "ORIP",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.creportal.org/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.lungmap.net/",
      "title": "LungMAP",
      "description": "The overall objective of the LungMAP is to better understand human lung development by building an open-access reference resource of a comprehensive, dynamic, 3-D molecular atlas of the late-stage developing human lung with data and reagents available to the research community.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Heart, Lung, and Blood Institute (NHLBI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Clinical research"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.lungmap.net/explore-data/visualize-data/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.merative.com/documents/merative-marketscan-research-databases",
      "title": "MarketScan Commercial and Medicare Supplemental Databases",
      "description": "The Merative MarketScan Research Databases are proprietary, de-identified U.S. healthcare databases containing longitudinal patient-level enrollment, medical and pharmacy claims, utilization, and cost data used to study real-world treatment patterns, health outcomes, healthcare utilization, and costs.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Michael Furukawa",
          "hasEmail": "mailto:michael.furukawa@ahrq.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Financing, Access, and Cost Trends (CFACT)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Agency for Healthcare Research and Quality (AHRQ)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "issued": "1989-01-01",
      "keyword": [
        "health insurance claims"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.merative.com/documents/merative-marketscan-research-databases",
        "title": "Merative MarketScan Research Databases"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Merative"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "Merative"
        }
      ],
      "creator": {
        "@type": "Agent",
        "name": "Merative"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "CONTRACT-7571TE26P00095",
          "type": "purchased data asset ID"
        }
      ],
      "status": "active",
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.metabolomicsworkbench.org/",
      "title": "Metabolomics Workbench - National Metabolomics Data Repository",
      "description": "The Metabolomics Workbench (MW) – National Metabolomics Data Repository (NMDR) is a unique data resource that serves the biomedical research community. It was started through the NIH Common Fund Metabolomics Initiative over a decade ago and has developed into a one-of-its-kind metabolomics data repository and resource. Projects ranging from independent investigator studies involving metabolic measurements (funded through R21 or R01 mechanisms) to large national initiatives, including several Common Fund-driven metabolomics studies, find their home in the NMDR. The NMDR contains almost 3000 studies, some very large, containing more than 1000 human subjects. The metabolomics data generated by the researchers can be submitted through easy and facile mechanisms that have evolved over the years by the MW. The MW-NMDR is widely regarded as one of the most FAIR (findable, accessible, interoperable, usable) data resources of its kind. The sunset associated with the Common Fund Projects has mandated the need for mechanisms to sustain data, such as the NMDR, and the RFA offers the mechanism for this perpetuation for the community. This proposal will address two essential aspects needed for the metabolomics resource. The first and primary objective of the MW-NMDR proposal is the continuation of the repository and resource along with the evolution of all features currently present in the infrastructure. The MW-NMDR receives approximately 50 study submissions, some very large, each month and offers mechanisms for easy upload of the data followed by curation by the MW team. It is subsequently transferred into a relational database along with the metadata to make the data discoverable. These mechanisms require continuous maintenance and updating. The MW also houses a metabolite structure database and RefMet, the reference metabolite classification and annotation system, which facilitates data harmonization. The metabolite database and RefMet require continuous updating, an essential task for the MW. The outreach and engagement of the biomedical research community is another need of the MW-NMDR; continuing this effort with additional mechanisms is a key objective.The second objective of the MW-NMDR proposal is the enhancement of the infrastructure through multiple mechanisms. First, the dramatic growth in the data warrants easy discovery mechanisms. Towards this, we will develop a graph database and query system, which will enable researchers to pose complex queries/filters to discover data and access them. We will develop a Neo4j graph database along with an interactive graph visualization interface that will facilitate dynamical queries in a cascading manner. This will obviate the need for a researcher to learn sophisticated computer skills. Second, we will develop a simple and accessible human subjects’ clinical metadata model to help create specified cohorts and the associated metabolomics data. Third, we plan to provide data in multiple formats using tools and interfaces. Finally, we will develop further the cloud aspects of MW-NMDR and provide AI-ML-ready datasets.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Clinical research",
        "Other"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.metabolomicsworkbench.org/data/browse.php"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.midrc.org/",
      "title": "Medical Imaging and Data Resource Center (MIDRC)",
      "description": "The Medical Imaging and Data Resource Center (MIDRC) is an NIBIB funded collaboration of leading medical imaging organizations launched in response to the COVID-19 pandemic.  MIDRC immediate aim is to develop a high-quality repository for medical images related to acute and long-term COVID-19 and associated clinical data. Data is harmonized and rendered artificial intelligence (AI)-ready to support the development of medical image-based algorithms for use in the detection, diagnosis, prognosis, and monitoring of COVID-19. Although prioritizing the collection of inclusive and representative COVID-19 related medical images, MIDRC is disease agnostic and open to all medical imaging datasets.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Biomedical Imaging and Bioengineering (NIBIB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Clinical research",
        "Imaging"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://data.midrc.org/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.mousephenotype.org/",
      "title": "International Mouse Phenotyping Consortium (IMPC)",
      "description": "The International Mouse Phenotyping Consortium (IMPC) is an international effort by 21 research institutions to identify the function of every protein-coding gene in the mouse genome",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Imaging",
        "Neuroscience",
        "Other",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.mousephenotype.org/understand/start-using-the-impc/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ncbi.nlm.nih.gov/bioproject/965738",
      "title": "DHQP Seq: Super Umbrella BioProject for HAI/AR Sequencing Data",
      "description": "CDC’s Division of Healthcare Quality Promotion-hosted Super-Umbrella BioProject repository for any sequence data (genome, plasmid, amplicon, shotgun) generated by CDC, public health laboratories, and other partners.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CEMB",
          "hasEmail": "mailto:HAISeq@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Healthcare Quality Promotion (DHQP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Next-generation sequencing",
        "whole genome sequencing",
        "healthcare associated infections",
        "antimicrobial resistance"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Domestic & International"
        }
      ],
      "status": "active",
      "accrualPeriodicity": "daily",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "DHQP Seq: Super Umbrella BioProject for HAI/AR Sequencing Data",
          "description": "Repository for next-generation sequencing data from healthcare-associated and antimicrobial resistant bacteria",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/965738"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ncbi.nlm.nih.gov/cdd/",
      "title": "Conserved Domains Database (CDD)",
      "description": "The Conserved Domain Database is a resource for the annotation of functional units in proteins. Its collection of domain models includes a set curated by NCBI, which utilizes 3D structure to provide insights into sequence/structure/function relationships.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Library of Medicine (NLM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ncbi.nlm.nih.gov/cdd"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ncbi.nlm.nih.gov/clinvar/",
      "title": "ClinVar",
      "description": "ClinVar is a public archive of submitted reports about the relationships between human genomic variations and inherited diseases, cancer, and drug responses, with supporting evidence.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Library of Medicine (NLM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Clinical research",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ncbi.nlm.nih.gov/clinvar/docs/downloads/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ncbi.nlm.nih.gov/datasets/",
      "title": "NCBI Datasets: Gene,  Genome, Assembly, Orthologs, and Taxonomy Database",
      "description": "NCBI Datasets is both a knowledge base and an access point for data. It provides descriptive information about Genes, Genomes, Orthologs, and Taxonomic classification, as well as interfaces to download gene, ortholog, and genomic data and metadata.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Library of Medicine (NLM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ncbi.nlm.nih.gov/datasets/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ncbi.nlm.nih.gov/dbvar/",
      "title": "Database of human genomic Structural Variation (dbVar)",
      "description": "dbVar is NCBI's database of human genomic Structural Variation, comprised of large variants >50 bp, including insertions, deletions, duplications, inversions, mobile elements, translocations, and complex variants",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Library of Medicine (NLM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Clinical research",
        "Computational biology",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ncbi.nlm.nih.gov/dbvar"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ncbi.nlm.nih.gov/genbank/",
      "title": "GenBank®",
      "description": "GenBank is the NIH genetic sequence database, an annotated collection of publicly available DNA sequences. GenBank captures, preserves, and presents comprehensive nucleotide sequence information and annotations from around the world and connects these data, where applicable, to associated scientific publications and the biological specimens from which the data were derived.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Library of Medicine (NLM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ncbi.nlm.nih.gov/genbank/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ncbi.nlm.nih.gov/geo/",
      "title": "Gene Expression Omnibus (GEO)",
      "description": "GEO is a functional genomics data repository that archives and distributes open-access array- and sequence-based genomic datasets including gene expression and epigenomics.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Library of Medicine (NLM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/info/faq.html#retrievals"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE150567",
      "title": "Lung response to crystalline nanocellulose (CNC) exposure in rats [dataset]",
      "description": "<b>Download the Dataset</b> decsribed here from <b>Gene Expression Omnibus (GEO)</b> at <a href=\"https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE150567\"target=_blank\">https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE150567</a>.\nLung response to crystalline nanocellulose (CNC) exposure in rats. [Description provided by NIOSH]\nCrystalline nanocellulose (CNC) is an emerging nanomaterial with multiple commercial and industrial applications. Occupational exposure to CNC during the production and/or use of products containing the nanomaterial potentially resulting in adverse health effects among workers is possible. Therefore, there is an immediate need to determine the toxicity potential of CNC. Rats were exposed to either air or CNC (20 mg/m^3, 6 hours/day, 5 days/week, 14 days) and lung toxicity was determined one day following termination of the exposures. Compared to the control rats, the CNC exposed rats exhibited moderate changes in lung histology. Lactate dehydrogenase activity and the number of phagocytes present in the bronchoalveolar lavage were higher in the CNC exposed rats, compared with the controls. Global gene expression profiling identified 531 genes whose expressions were significantly different (fold change >1.5 and FDR p <0.05) in the lungs of the CNC exposed rats, compared with the controls. In summary, the data demonstrated the induction of pulmonary toxicity and global gene expression changes in the lungs of the rats in response to inhalation exposure to CNC.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Health Effects Laboratory Division (HELD)",
          "hasEmail": "mailto:pcj5@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute for Occupational Safety and Health (NIOSH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "issued": "2020-09-17",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Animals\nLaboratories\nLung\nOccupational Health\nRespiratory System\nSafety"
        }
      ],
      "keyword": [
        "Nanocellulose\nNanomaterials\nLung\nLung function\nRespiratory function\nPulmonary system\nLaboratory animals\nAnimal studies"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "OSHA Region 3\nWest Virginia"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/241682",
        "title": "Lung response to crystalline nanocellulose (CNC) exposure in rats [dataset]"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute for Occupational Safety and Health"
        }
      ],
      "rights": [
        "Public Domain"
      ],
      "creator": {
        "@type": "Agent",
        "name": "National Institute for Occupational Safety and Health"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "GSE150567",
          "type": "NIH GEO database identifier"
        }
      ],
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://stacks.cdc.gov/view/cdc/241682",
        "title": "Metadata on HTML Repository Page"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Lung response to crystalline nanocellulose (CNC) exposure in rats [dataset]",
          "description": "<b>Download the Dataset</b> decsribed here from <b>Gene Expression Omnibus (GEO)</b> at <a href=\"https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE150567\"target=_blank\">https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE150567</a>.\nLung response to crystalline nanocellulose (CNC) exposure in rats. [Description provided by NIOSH]\nCrystalline nanocellulose (CNC) is an emerging nanomaterial with multiple commercial and industrial applications. Occupational exposure to CNC during the production and/or use of products containing the nanomaterial potentially resulting in adverse health effects among workers is possible. Therefore, there is an immediate need to determine the toxicity potential of CNC. Rats were exposed to either air or CNC (20 mg/m^3, 6 hours/day, 5 days/week, 14 days) and lung toxicity was determined one day following termination of the exposures. Compared to the control rats, the CNC exposed rats exhibited moderate changes in lung histology. Lactate dehydrogenase activity and the number of phagocytes present in the bronchoalveolar lavage were higher in the CNC exposed rats, compared with the controls. Global gene expression profiling identified 531 genes whose expressions were significantly different (fold change >1.5 and FDR p <0.05) in the lungs of the CNC exposed rats, compared with the controls. In summary, the data demonstrated the induction of pulmonary toxicity and global gene expression changes in the lungs of the rats in response to inhalation exposure to CNC.",
          "accessURL": "https://stacks.cdc.gov/view/cdc/241682",
          "downloadURL": "https://www.ncbi.nlm.nih.gov/geo/download/?acc=GSE150567&format=file&file=GSE150567%5FNCB%5Fhisat2%5FRnor6%5Fcounts%2Ecsv%2Egz",
          "format": "XLSX Spreadsheet file",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://creativecommons.org/public-domain/",
          "rights": [
            "Public Domain"
          ],
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://stacks.cdc.gov/view/cdc/241682",
            "title": "Metadata on HTML Repository Page"
          }
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ncbi.nlm.nih.gov/gtr/",
      "title": "NIH Genetic Testing Registry (GTR)®",
      "description": "The Genetic Testing Registry provides information about genetic and genomic tests available for clinical and research use, along with details about the laboratories that offer the tests. The registry includes molecular, biochemical and cytogenetic human genetic tests, as well as serologic and molecular microbe tests.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Library of Medicine (NLM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Other",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ncbi.nlm.nih.gov/gtr/all/tests/?term=all%5Bsb%5D"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ncbi.nlm.nih.gov/pathogens/antimicrobial-resistance/",
      "title": "National Database of Antimicrobial Resisant Organisms (NDARO)",
      "description": "The National Database of Antibiotic Resistant Organisms is a collaborative, cross-agency, centralized hub for researchers to access data on antimicrobial resistance (AMR), including AMR genes and genetic and antibiotic susceptibility data, to facilitate real-time surveillance of pathogenic organisms.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Library of Medicine (NLM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Clinical research",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ncbi.nlm.nih.gov/pathogens/antimicrobial-resistance/AMRFinder/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ncbi.nlm.nih.gov/protfam/",
      "title": "Protein Family Models",
      "description": "Protein Family Models is a collection of models representing homologous proteins with a common function. It includes conserved domain architectures, hidden Markov models, and BlastRules that represent families found in prokaryotes and eukaryotes.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Library of Medicine (NLM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ncbi.nlm.nih.gov/Structure/protfam/data_access.html"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ncbi.nlm.nih.gov/refseq/",
      "title": "Reference Sequences (RefSeq)",
      "description": "RefSeq is a database of integrated, non-redundant, well-annotated references sequences, including genomic DNA, transcripts, and proteins. RefSeq genomes are compies of selected genomes available in GenBank, while RefSeq transcript and proteins records are generated through computation, manual curation, and other methods.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Library of Medicine (NLM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ncbi.nlm.nih.gov/refseq/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ncbi.nlm.nih.gov/snp/",
      "title": "Single Nucleotide Polymorphism Database (dbSNP)",
      "description": "The dbSNP repository contains human single nucleotide variations, microsatellites, and small-scale insertions and deletions along with information about publications, population frequency, molecular consequence, and genomic and RefSeq mapping information. In addition to single nucleotide alterations that are common enough in a population to be referred to as polymorphic, dbSNP also includes rare variants, such as those with clinical assertions in NCBI’s ClinVar repository.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Library of Medicine (NLM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Clinical research",
        "Computational biology",
        "Other",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ncbi.nlm.nih.gov/snp/docs/entrez_help/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ncbi.nlm.nih.gov/sra/",
      "title": "Sequence Read Archive (SRA)",
      "description": "The Sequence Read Archive (SRA) is the largest publicly available repository of high throughput sequencing data. It accepts data from all branches of life as well as metagenomic and environmental surveys. The data are available through multiple cloud providers and NCBI servers.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Library of Medicine (NLM)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ncbi.nlm.nih.gov/sra/docs/sradownload/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ncbi.nlm.nih.gov/structure",
      "title": "Structure Database",
      "description": "Three dimensional structures provide a wealth of information on the biological function and the evolutionary history of macromolecules. They can be used to examine sequence-structure-function relationships, interactions, active sites, and more.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Allergy and Infectious Diseases (NIAID)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.ncbi.nlm.nih.gov/structure"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.ndexbio.org",
      "title": "The Network Data Exchange (NDEx)",
      "description": "NDEx is an online commons where scientists can upload, share, and publicly distribute biological networks and pathway models. The NDEx Project maintains a web-accessible public server, a documentation website, provides seamless connectivity to Cytoscape as well as programmatic access using a variety of languages including Python and Java. NDEx  users can easily create accounts or sign in using their Google credentials thanks to  the supported open authentication (OAUTH2) method  and mint DOIs for their networks to use in publications or include in other resources for long term access.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Cancer Institute (NCI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Other",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://home.ndexbio.org/finding-and-querying-networks/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.nlm.nih.gov/research/umls/rxnorm/index.html",
      "title": "RxNorm",
      "description": "RxNorm provides normalized names for clinical drugs and links its names to many of the drug vocabularies commonly used in pharmacy management and drug interaction software, including those of First Databank, Micromedex, Multum, and Gold Standard Drug Database. By providing links between these vocabularies, RxNorm can mediate messages between systems not using the same software and vocabulary.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Other"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://lhncbc.nlm.nih.gov/RxNav/applications/RxNavDoc.html?_gl=1*1v44qce*_ga*MTE3NTk1ODcxNi4xNjY1NjgzMjk4*_ga_7147EPK006*czE3NzAyMzgwMDAkbzI1JGcwJHQxNzcwMjM4MDAwJGo2MCRsMCRoMA..*_ga_P1FPTH9PL4*czE3NzAyMzgwMDAkbzI1JGcwJHQxNzcwMjM4MDAwJGo2MCRsMCRoMA"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.openpain.org/",
      "title": "OpenPain",
      "description": "The OpenPain includes a data repository of pain and brain MRI data that are collected in subjects undergoing total knee arthroplasty (TKA) and a brain imaging-based prognostic algorism (software development) to prospectively predict outcomes following total knee replacement.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Neurological Disorders and Stroke (NINDS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Imaging"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.openpain.org/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.pgscatalog.org/",
      "title": "PGS Catalog",
      "description": "The PGS Catalog is an open database of published polygenic scores (PGS). Each PGS in the Catalog is consistently annotated with relevant metadata; including scoring files (variants, effect alleles/weights), annotations of how the PGS was developed and applied, and evaluations of their predictive performance. PGS are identified via literature search and data is curated from eligible publications; direct submissions of scores and metadata can also be made. Software tools for working with the data are available including pgsc_calc: a reproducible workflow to calculate both PGS Catalog and custom polygenic scores, including multiple methods to normalise for genetic ancestry.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Behavioral and social sciences",
        "Clinical research",
        "Neuroscience",
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.pgscatalog.org/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.phenxtoolkit.org/",
      "title": "PhenX Toolkit",
      "description": "The PhenX (consensus measures for Phenotypes and eXposures) Toolkit is a web-based catalog of recommended measurement protocols of phenotypes and exposures suitable for inclusion in genomic, clinical, and translational research studies with human participants.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        }
      ],
      "keyword": [
        "Clinical research",
        "Sequence biology",
        "Other"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.phenxtoolkit.org/domains"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.portal.brain-bican.org/",
      "title": "BRAIN Initiative - Cell Atlas Network (BICAN)",
      "description": "The BRAIN Initiative® Cell Atlas Network (BICAN) is a collaborative effort between neuroscientists, computational biologists and software engineers to create a comprehensive atlas of the human brain. Supported by the U.S. BRAIN Initiative, we are dedicated to advancing our knowledge of the brain by gathering and sharing new data that allows us to develop the “parts list” of the brain, detailing the vast array of neurons and non-neuronal cells in the human brain. The BICAN continues the work of the BICCN consortium.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Mental Health (NIMH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Imaging",
        "Neuroscience"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://knowledge.brain-map.org/data?limit=50&offset=0&search=%2A&sort=default~ASC"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.rcsb.org/",
      "title": "Protein Data Bank",
      "description": "The mission of the RCSB Protein Data Bank (PDB) is to sustain a unique data resource of three-dimensional biomolecular structure information.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of General Medical Sciences (NIGMS)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "human"
        },
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Computational biology",
        "Imaging"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://www.rcsb.org/#Category-download"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.resdac.org/",
      "title": "CMS Research Identifiable File (RIF) Data",
      "description": "Through its DUA with CMS, AHRQ acquires approximately 40 annually updated research files with claims, beneficiary and provider data for the  FFS, MA, Part D and Medicaid programs.  AHRQ has data for 2008-2024",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Daniel Miller",
          "hasEmail": "mailto:daniel.miller@ahrq.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Financing, Access, and Cost Trends (CFACT)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Agency for Healthcare Research and Quality (AHRQ)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "non-public",
      "issued": "2010-09-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "CMS administrative data"
        }
      ],
      "keyword": [
        "Medicare",
        "Medicaid",
        "Part D",
        "Medicare Advantage",
        "claims"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.resdac.org/",
        "title": "Research Data Assistance Center"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Agency for Healthcare Research and Quality"
        }
      ],
      "contributor": [
        {
          "@type": "Agent",
          "name": "CMS"
        }
      ],
      "rights": [
        "Under DUA with CMS, AHRQ can use the data for MEPS survey benchmarking and intramural research."
      ],
      "creator": {
        "@type": "Agent",
        "name": "CMS"
      },
      "otherIdentifier": [
        {
          "@type": "OtherIdentifier",
          "notation": "IAA-26-199F-96",
          "type": "purchased data asset ID"
        }
      ],
      "status": "active",
      "accrualPeriodicity": "annually",
      "inventoried": "2026-09-27",
      "describedBy": null
    },
    {
      "@type": "Dataset",
      "identifier": "https://www.researchondisability.org/annual-disability-statistics-collection#annual-reports",
      "title": "Annual Reports on People with Disabilities in America (ADSC)",
      "description": "Annual reports tracking social and economic progress for people with disabilities, highlighting changes in key indicators such as employment, education, and health, as part of the Annual Disability Statistics Collection.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Center for Research on Disability, Institute on Disability, University of New Hampshire",
          "hasEmail": "mailto:disability.statistics@unh.edu"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Center for Research on Disability, Institute on Disability, University of New Hampshire"
      },
      "accessRights": "public",
      "keyword": [
        "Disability Statistics",
        "Annual Report",
        "ADSC"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Employment"
        },
        {
          "@type": "Concept",
          "prefLabel": "Statistics"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Annual Disability Statistics Collection",
        "accessURL": "https://www.researchondisability.org/annual-disability-statistics-collection"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Annual Report on People with Disabilities in America: 2026 (ADSC)",
          "downloadURL": "https://www.researchondisability.org/sites/default/files/media/2026-03/Annual-Report-People-with-Disabilities_2026_for-print.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "2014 Disability Statistics Annual Report (ADSC)",
          "downloadURL": "https://www.researchondisability.org/sites/default/files/media/2024-03/2014-disability-statistics-annual-report-2011-2014.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "2025 Annual Report on People with Disabilities in America (ADSC)",
          "downloadURL": "https://www.researchondisability.org/sites/default/files/media/2025-03/annual-report-people-with-disabilities_2025_digital-update-a11y.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "2024 Annual Report on People with Disabilities in America (ADSC)",
          "downloadURL": "https://www.researchondisability.org/sites/default/files/media/2024-03/2024-annual-report-a11y-1.pdf",
          "mediaType": "application/pdf",
          "format": "PDF"
        },
        {
          "@type": "Distribution",
          "title": "2023 Annual Report on People with Disabilities in America (ADSC)",
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    {
      "@type": "Dataset",
      "identifier": "https://wwwn.cdc.gov/FoodNetFast/HUS",
      "title": "FoodNet Fast HUS Surveillance Tool",
      "description": "FoodNet Fast Hemolytic Uremic Syndrome (HUS) Surveillance Tool: data tool on rates of pediatric HUS (a serious STEC-related complication) and STEC infections in the FoodNet surveillance area since 1997, sourced from pediatric nephrologists, infection control practitioners, and hospital discharge data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FoodNet Team",
          "hasEmail": "mailto:FoodNet@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Hemolytic uremic syndrome"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://wwwn.cdc.gov/FoodNetFast/LabSurvey",
      "title": "FoodNet Fast Diagnostic Laboratory Practices Tool",
      "description": "Data tool on how diagnostic testing practices have changed over time at roughly 700 diagnostic laboratories in the FoodNet surveillance area, for 10 pathogens including Campylobacter, norovirus, Salmonella, STEC, Shigella, Vibrio, and Yersinia.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FoodNet Team",
          "hasEmail": "mailto:FoodNet@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Laboratory practices"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://wwwn.cdc.gov/FoodNetFast/PathogenSurveillance",
      "title": "FoodNet Fast Pathogen Surveillance Tool",
      "description": "Interactive data tool showing yearly incidence rates since 1996 for nine foodborne pathogens (Campylobacter, Cryptosporidium, Cyclospora, Listeria, Salmonella, STEC, Shigella, Vibrio, Yersinia) within FoodNet's surveillance sites.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FoodNet Team",
          "hasEmail": "mailto:FoodNet@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Pathogen surveillance"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://wwwn.cdc.gov/FoodNetFast/PopSurvey",
      "title": "FoodNet Fast Population Survey Tool",
      "description": "FoodNet Fast Population Survey Tool: survey data tool used to estimate how often people in the FoodNet surveillance area get diarrheal illness, seek care, and are exposed to risk factors (e.g., handling raw poultry), with comparisons across demographic groups.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "FoodNet Team",
          "hasEmail": "mailto:FoodNet@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Foodborne, Waterborne, and Environmental Diseases (DFWED)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "keyword": [
        "Population survey"
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://wwwn.cdc.gov/arisolatebank/",
      "title": "CDC & FDA AR Isolate Bank",
      "description": "CDC searchable catalog providing information about or access to Antimicrobial resistance laboratory resources.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "AR Isolate Bank",
          "hasEmail": "mailto:arbank@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Healthcare Quality Promotion (DHQP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Antimicrobial resistance laboratory resources"
        }
      ],
      "keyword": [
        "Antimicrobial resistance laboratory resources",
        "Searchable catalog",
        "DHQP"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://wwwn.cdc.gov/arisolatebank/",
        "title": "CDC & FDA AR Isolate Bank"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC & FDA AR Isolate Bank",
          "description": "Access point for CDC & FDA AR Isolate Bank.",
          "accessURL": "https://wwwn.cdc.gov/arisolatebank/",
          "format": "Searchable catalog"
        },
        {
          "@type": "Distribution",
          "title": "CDC & FDA AR Isolate Bank related resource",
          "description": "Access point for CDC & FDA AR Isolate Bank.",
          "accessURL": "https://wwwn.cdc.gov/arisolatebank/Search",
          "format": "Web resource"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://wwwnc.cdc.gov/travel/destinations/list",
      "title": "Travelers Health Destination Selector",
      "description": "Country pages are instances of this tool, not separate records.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Travel Health Public Inquiries (CDC)",
          "hasEmail": "mailto:travelershealthpi@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Global Migration Health (DGMH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Travel health"
        }
      ],
      "keyword": [
        "Travel health",
        "Parameterized decision-support tool",
        "DGMH"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://wwwnc.cdc.gov/travel/destinations/list",
        "title": "Travelers Health Destination Selector"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Travelers Health Destination Selector",
          "description": "Country pages are instances of this tool, not separate records.",
          "accessURL": "https://wwwnc.cdc.gov/travel/destinations/list",
          "format": "Parameterized decision-support tool"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://wwwnc.cdc.gov/travel/notices/",
      "title": "Travel Health Notices",
      "description": "Public CDC searchable alert system providing data or related information for Travel health.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Travel Health Public Inquiries (CDC)",
          "hasEmail": "mailto:travelershealthpi@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Global Migration Health (DGMH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Travel health"
        }
      ],
      "keyword": [
        "Travel health",
        "Searchable alert system",
        "DGMH"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://wwwnc.cdc.gov/travel/notices/",
        "title": "Travel Health Notices"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Travel Health Notices",
          "description": "Access point for Travel Health Notices.",
          "accessURL": "https://wwwnc.cdc.gov/travel/notices/",
          "format": "Searchable alert system"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://wwwnc.cdc.gov/travel/page/zika-travel-information",
      "title": "Zika Travel Information Map",
      "description": "Archived in 2024; current replacement is CDC Zika geographic risk information.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Travel Health Public Inquiries (CDC)",
          "hasEmail": "mailto:travelershealthpi@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Global Migration Health (DGMH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Zika travel risk"
        }
      ],
      "keyword": [
        "Zika travel risk",
        "Archived decision-support map",
        "DGMH"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://wwwnc.cdc.gov/travel/page/zika-travel-information",
        "title": "Zika Travel Information Map"
      },
      "status": "deprecated",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Zika Travel Information Map",
          "description": "Archived in 2024; current replacement is CDC Zika geographic risk information.",
          "accessURL": "https://wwwnc.cdc.gov/travel/page/zika-travel-information",
          "format": "Interactive web application"
        },
        {
          "@type": "Distribution",
          "title": "Zika Travel Information Map related resource",
          "description": "Archived in 2024; current replacement is CDC Zika geographic risk information.",
          "accessURL": "https://www.cdc.gov/zika/geo/",
          "format": "Web resource"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://wwwnc.cdc.gov/travel/yellow-fever-vaccination-clinics/search",
      "title": "Yellow Fever Vaccination Clinic Search",
      "description": "Public CDC locator / registry providing data or related information for Yellow fever vaccination.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Travel Health Public Inquiries (CDC)",
          "hasEmail": "mailto:travelershealthpi@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Global Migration Health (DGMH)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Yellow fever vaccination"
        }
      ],
      "keyword": [
        "Yellow fever vaccination",
        "Locator / registry",
        "DGMH"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://wwwnc.cdc.gov/travel/yellow-fever-vaccination-clinics/search",
        "title": "Yellow Fever Vaccination Clinic Search"
      },
      "status": "active",
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Yellow Fever Vaccination Clinic Search",
          "description": "Access point for Yellow Fever Vaccination Clinic Search.",
          "accessURL": "https://wwwnc.cdc.gov/travel/yellow-fever-vaccination-clinics/search",
          "format": "Locator / registry"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://zfin.org/",
      "title": "Zebrafish Information Network (ZFIN)",
      "description": "The Zebrafish Information Network (ZFIN) is the database of genetic and genomic data for the zebrafish (Danio rerio) as a model organism. ZFIN provides a wide array of expertly curated, organized and cross-referenced zebrafish research data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "non-human"
        }
      ],
      "keyword": [
        "Sequence biology"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "accessURL": "https://zfin.org/"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://zs1rum7xd7.execute-api.us-east-1.amazonaws.com/prod/hst",
      "title": "NIH Highlighted Topics Collection API",
      "description": "JSON API providing the collection of NIH Highlighted Topics, including topic title, lead and participating NIH organizations, posted date, and expiration date.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Extramural Research (OER) Webmaster",
          "hasEmail": "mailto:OERWebmaster03@od.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Extramural Research (OER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "NIH Grants"
        }
      ],
      "keyword": [
        "NIH grants",
        "highlighted topics",
        "research priorities",
        "funding opportunities",
        "collection API",
        "JSON"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute of Health (NIH)"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "https://zs1rum7xd7.execute-api.us-east-1.amazonaws.com/prod/hst/single?id=73",
      "title": "NIH Highlighted Topic Detail API",
      "description": "JSON API providing a single NIH Highlighted Topic record selected by identifier, including topic title, lead and participating NIH organizations, posted date, and expiration date.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Extramural Research (OER) Webmaster",
          "hasEmail": "mailto:OERWebmaster03@od.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Extramural Research (OER)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "National Institutes of Health (NIH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "NIH Grants"
        }
      ],
      "keyword": [
        "NIH grants",
        "highlighted topics",
        "research priorities",
        "funding opportunities",
        "detail API",
        "JSON",
        "topic identifier"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "National Institute of Health (NIH)"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2016 NV Individual Dental",
      "identifier": "hxw8-c85n",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T16:50:32Z",
      "modified": "2015-11-24T01:43:58Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_NV-Dent-Indi-Land-11-09-2015.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "ESRD QIP - Hypercalcemia - Payment Year 2026",
        "accessURL": "https://data.cms.gov/provider-data/dataset/hypercalcemia"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2021-01-20",
      "@type": "Dataset",
      "modified": "2025-12-15",
      "released": "2026-01-21",
      "keyword": [
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "ESRD QIP Helpdesk",
        "hasEmail": "mailto:ESRDQIP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "hypercalcemia",
      "description": "This dataset includes facility details, measure score, and the state and national average measure scores for the hypercalcemia measure included in the PY 2026 ESRD QIP.",
      "title": "ESRD QIP - Hypercalcemia - Payment Year 2026",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/08e753214447aed55e5dc54774220a3b_1767139552/HYPERCALCEMIA.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "i46a-9kgh",
      "title": "PLACES: County Data (GIS Friendly Format), 2025 release",
      "description": "This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2023 county population estimates, and American Community Survey (ACS) 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. These data can be joined with the census 2023 county boundary file in a GIS system to produce maps for 40 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-12-04",
      "issued": "2020-09-14",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "gis",
        "disability",
        "social needs",
        "risk",
        "prevention",
        "prevalence",
        "places",
        "outcomes",
        "behaviors",
        "status",
        "county",
        "health"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: County Data (GIS Friendly Format), 2025 release",
          "description": "This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2023 county population estimates, and American Community Survey (ACS) 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. These data can be joined with the census 2023 county boundary file in a GIS system to produce maps for 40 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "accessURL": "https://data.cdc.gov/d/i46a-9kgh",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-County-Data-GIS-Friendly-Format-2025-releas/i46a-9kgh/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-04",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/i46a-9kgh",
            "title": "PLACES: County Data (GIS Friendly Format), 2025 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: County Data (GIS Friendly Format) Series, 2020-2025",
          "description": "This dataset contains model-based county-level estimates in GIS-friendly format from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "i6u4-y3g4",
      "title": "Non-Medical Factor Measures for County, ACS 2017-2021",
      "description": "This dataset contains county-level non-medical factor measures from the American Community Survey 5-year data for the entire United Statesâ€”50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-11-16",
      "issued": "2023-10-19",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "county",
        "estimates",
        "non-medical factor",
        "places",
        "acs"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Non-Medical Factor Measures for County, ACS 2017-2021",
          "description": "This dataset contains county-level non-medical factor measures from the American Community Survey 5-year data for the entire United Statesâ€”50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",
          "accessURL": "https://data.cdc.gov/d/i6u4-y3g4",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/Non-Medical-Factor-Measures-for-County-ACS-2017-20/i6u4-y3g4/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-11-16",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/i6u4-y3g4",
            "title": "Non-Medical Factor Measures for County, ACS 2017-2021"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2020 Dental SHOP",
      "identifier": "i8bt-8jr2",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2019-10-16T18:07:06Z",
      "modified": "2020-10-23T20:29:30Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/SHOP_Market_Dental_07_27_2020.xlsx.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "i8t6-whzd",
      "title": "CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air Summary",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation  –  Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air that apply to use of e-cigarettes in private worksites, restaurants, and bars.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-01",
      "issued": "2019-09-26",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Legislation"
        }
      ],
      "keyword": [
        "ecigarette",
        "state system",
        "osh",
        "smokefree indoor air",
        "policy",
        "legislation"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air Summary",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air that apply to use of e-cigarettes in private worksites, restaurants, and bars.",
          "accessURL": "https://data.cdc.gov/d/i8t6-whzd",
          "downloadURL": "https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Smokefree/i8t6-whzd/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-04-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/i8t6-whzd",
            "title": "CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air Summary"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Benefits and Cost Sharing PUF - PY2015",
      "identifier": "i982-vm9r",
      "description": "The Benefits and Cost Sharing PUF (BenCS-PUF) is one of the seven files that make up the Marketplace PUF. The BenCS-PUF contains plan-level data on essential health benefits, coverage limits, and cost sharing for each QHP and SADP. These data either originate from the Plans &amp; Benefits template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2014-11-26T16:41:01Z",
      "modified": "2017-12-11T22:47:53Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/benefits-and-cost-sharing-puf.i982-vm9r.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/35c12d1d-36df-46c0-bd92-5ed138668eea",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 NV Individual Dental",
      "identifier": "ia68-8jye",
      "description": "Dataset.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2015-10-29T20:57:35Z",
      "modified": "2015-12-03T00:32:57Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2016-qhp-landscape-nv-individual-market-dental.ia68-8jye.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/509aaadd-58e0-4269-92d9-a41571d99cbf",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "ib3w-k9rq",
      "title": "PLACES: Census Tract Data (GIS Friendly Format), 2020 release",
      "description": "This dataset contains model-based census tract level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 27 measures at the census tract level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2021-10-07",
      "issued": "2021-09-29",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "census tract",
        "gis",
        "outcomes",
        "places",
        "prevalence",
        "prevention",
        "unhealthy",
        "behaviors"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Census Tract Data (GIS Friendly Format), 2020 release",
          "description": "This dataset contains model-based census tract level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 27 measures at the census tract level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
          "accessURL": "https://data.cdc.gov/d/ib3w-k9rq",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Census-Tract-Data-GIS-Friendly-Format-2020-/ib3w-k9rq/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2021-10-07",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/ib3w-k9rq",
            "title": "PLACES: Census Tract Data (GIS Friendly Format), 2020 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
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            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
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              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
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              ],
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                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
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            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Census Tract Data (GIS Friendly Format) Series 2020-2025",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Outpatient Imaging Efficiency - State",
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        "009:38"
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      "@type": "Dataset",
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      "released": "2026-08-13",
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        "CT Scans",
        "State"
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      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
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      },
      "publisher": {
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      "title": "Outpatient Imaging Efficiency - State",
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        "009:000"
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    },
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      "landingPage": {
        "@type": "Document",
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        "accessURL": "https://data.cms.gov/provider-data/dataset/ifjz-ge4w"
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        "009:38"
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      "issued": "2023-06-01",
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      "released": "2026-08-26",
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      "identifier": "ifjz-ge4w",
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        "009:000"
      ],
      "distribution": [
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/3d8cda3e909d835f20cecf639d7e21ad_1786724148/NH_FireSafetyCitations_Aug2026.csv",
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        }
      ],
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
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      "@type": "Dataset",
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      "issued": "2015-04-14T20:13:05Z",
      "modified": "2015-08-20T01:07:01Z",
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          "@type": "Distribution",
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          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_Med-Indi-Land-08-03-2015.pdf"
        }
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      "inventoried": "2026-09-27"
    },
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      "landingPage": {
        "@type": "Document",
        "title": "Medicare Claims Quality Measures",
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        "009:38"
      ],
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      "@type": "Dataset",
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        "Ratings"
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        "fn": "Nursing homes including rehab services",
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      ],
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            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/nursing_home/NH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Nursing homes including rehab services"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 NV Individual Dental",
      "identifier": "imsm-wpuh",
      "description": "For instructions on how to read and use this data, visit: https://data.healthcare.gov/download/brk5-3rpz/application/pdf",
      "accessLevel": "public",
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      "modified": "2015-08-20T00:33:02Z",
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          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qhp-landscape-nv-individual-market-dental.imsm-wpuh.csv",
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        "009:38"
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      "programCode": [
        "009:000"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2021 SHOP Medical",
      "identifier": "iqae-s8gw",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2020-10-21T19:52:59Z",
      "modified": "2021-08-11T19:26:17Z",
      "publisher": {
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          }
        ]
      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
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      },
      "keyword": [
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      ],
      "distribution": [
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          "title": "FILE",
          "mediaType": "application/x-zip-compressed",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2021_SHOP_Market_Medical_08_04_2021.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Timely and Effective Care - National",
        "accessURL": "https://data.cms.gov/provider-data/dataset/isrn-hqyy"
      },
      "bureauCode": [
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      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Timely and Effective Care",
        "Emergency Department",
        "National"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
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          }
        ]
      },
      "identifier": "isrn-hqyy",
      "description": "Timely and Effective Care measures - national data. This data set includes national-level data for measures of cataract surgery outcome, colonoscopy follow-up,  emergency department care, preventive care, and pregnancy and delivery care.",
      "title": "Timely and Effective Care - National",
      "programCode": [
        "009:000"
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      "distribution": [
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/b298b4a8c05addc75d1e9c9c9b2e4706_1785189968/Timely_and_Effective_Care-National.csv",
          "mediaType": "text/csv",
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            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "itia-u6fu",
      "title": "CDC STATE System E-Cigarette Legislation - Smokefree Campus",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislationâ€”Smokefree Campus. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state smokefree indoor air laws for smokefree campuses in private and public colleges and schools (K-12).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-01",
      "issued": "2015-05-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Legislation"
        }
      ],
      "keyword": [
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        "legislation",
        "state system",
        "smokefree campus",
        "policy",
        "e-cigarette"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
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          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
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      ],
      "creator": {
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        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
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        "accessURL": "https://www.cdc.gov/STATESystem/",
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      },
      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/itia-u6fu",
          "downloadURL": "https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Smokefree/itia-u6fu/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-04-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/itia-u6fu",
            "title": "CDC STATE System E-Cigarette Legislation - Smokefree Campus"
          },
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          ],
          "useRestriction": [
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            }
          ],
          "accessService": [
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                  "@type": "Kind",
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                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 NV Individual Medical",
      "identifier": "itre-68bw",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2014-11-13T17:19:29Z",
      "modified": "2015-08-20T00:58:20Z",
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          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_NV-Med-Indi-Land-08-13-2015.zip"
        }
      ],
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      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan Attributes PUF - PY2015",
      "identifier": "ium9-pv2r",
      "description": "The Plan Attributes PUF (Plan-PUF) is one of the seven files that make up the Marketplace PUF. The Plan-PUF contains plan-level data on maximum out of pocket payments, deductibles, cost sharing, health savings account (HSA) eligibility, formulary ID, and other plan attributes. These data either originate from the Plans &amp; Benefits template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated). The issuer can also import data created in other templates (e.g., Network IDs from the Network ID template, Service Area IDs from the Service Area template, and Formulary IDs from the Prescription Drug template) to use as allowable values for the applicable fields in the Plans &amp; Benefits template, or enter these values manually.",
      "accessLevel": "public",
      "issued": "2014-11-26T18:37:42Z",
      "modified": "2017-12-11T22:47:51Z",
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          }
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      },
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
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      ],
      "distribution": [
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          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/plan-attributes-puf.ium9-pv2r.csv",
          "describedBy": {
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            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/d3d2790c-3cec-47ac-95cc-cbc1813e6318",
            "title": "data.healthcare.gov"
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        }
      ],
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      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "iuq5-y9ct",
      "title": "Behavioral Risk Factor Surveillance System (BRFSS) Historical Questions",
      "description": "1984-2023.  Centers for Disease Control and Prevention (CDC). BRFSS Survey Data.  The BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death.\nDetailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Behavioral Risk Factor Surveillance System",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-28",
      "issued": "2015-03-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Behavioral Risk Factors"
        }
      ],
      "keyword": [
        "surveillance",
        "survey",
        "system",
        "factor",
        "brfss",
        "behavioral",
        "questions",
        "risk"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/BRFSS/",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Population Health Population Health Surveillance Branch"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/BRFSS/",
        "title": "DPH Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Behavioral Risk Factor Surveillance System (BRFSS) Historical Questions",
          "description": "1984-2023.  Centers for Disease Control and Prevention (CDC). BRFSS Survey Data.  The BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death.\nDetailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss).",
          "accessURL": "https://data.cdc.gov/d/iuq5-y9ct",
          "downloadURL": "https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-04-28",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/iuq5-y9ct",
            "title": "Behavioral Risk Factor Surveillance System (BRFSS) Historical Questions"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2014 NM Individual Medical",
      "identifier": "iwmd-wduj",
      "description": "QHP Landscape NM Individual Market Medical - New Mexico  For instructions on how to read and use this data, please view the documentation available under the ‘About’ tab on this page.",
      "accessLevel": "public",
      "issued": "2013-12-02T12:34:00Z",
      "modified": "2014-08-20T21:48:05Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/qhp-landscape-nm-individual-market-medical.iwmd-wduj.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/2b2a6e20-fdde-40db-a0ee-e2cb740678bd",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "ix4g-rt8v",
      "title": "2022 Final Assisted Reproductive Technology (ART) Services and Profiles",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinicâ€™s contact information, location, the medical directorâ€™s name, and summary statistics.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National ART Surveillance System",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-12-18",
      "issued": "2016-05-11",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Assisted Reproductive Technology (ART)"
        }
      ],
      "keyword": [
        "services",
        "success rates",
        "art",
        "assisted reproductive technology",
        "clinic",
        "fertility",
        "infertility"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Reproductive Health (DRH)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
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      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "ARTINFO"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2022 Final Assisted Reproductive Technology (ART) Services and Profiles",
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          "accessURL": "https://data.cdc.gov/d/ix4g-rt8v",
          "downloadURL": "https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2022-Final-Assisted-Reproductive-Technology-ART-Se/ix4g-rt8v/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-12-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/ix4g-rt8v",
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          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Final Assisted Reproductive Technology (ART) Services and Profiles Series",
          "description": "The Services and Profiles dataset series provides an overview of clinic services, the clinic's contact information, location, the medical director's name, and summary statistics."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "healthcare"
      ],
      "contactPoint": {
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov",
        "fn": "CMS-WSD-Data-Team"
      },
      "dataQuality": true,
      "description": "Dataset.",
      "distribution": [
        {
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/Med-SHOP-Lndscp-IN-072720-508.pdf",
          "@type": "Distribution"
        }
      ],
      "identifier": "ixz7-4nhp",
      "title": "QHP Landscape Instructions PY2020 Medical SHOP",
      "issued": "2019-10-16T18:29:50Z",
      "modified": "2020-10-23T20:25:46Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Patient Survey (PCH - HCAHPS) PPS-Exempt Cancer Hospital - Hospital",
        "accessURL": "https://data.cms.gov/provider-data/dataset/iy27-wz37"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-12",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "CAHPS",
        "Patient Survey",
        "Patient Experience of Care",
        "Survey",
        "Cancer",
        "PPS-Exempt Cancer Hospital Quality Reporting"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "iy27-wz37",
      "description": "A list of hospital ratings for the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS). HCAHPS is a national, standardized survey of hospital patients about their experiences during a recent inpatient hospital stay.",
      "title": "Patient Survey (PCH - HCAHPS) PPS-Exempt Cancer Hospital - Hospital",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/155aff6db1e04cbbe1676ce459d71053_1785189958/PCH_HCAHPS_HOSPITAL.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "j32a-sa6u",
      "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2011 to Present)",
      "description": "2011 to present. BRFSS SMART MMSA Prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Behavioral Risk Factor Surveillance System",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-02-19",
      "issued": "2015-06-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Behavioral Risk Factors"
        }
      ],
      "keyword": [
        "brfss",
        "survey",
        "smart",
        "risk",
        "mmsa",
        "behavioral"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/BRFSS/",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/BRFSS/",
        "title": "DPH Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2011 to Present)",
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          "accessURL": "https://data.cdc.gov/d/j32a-sa6u",
          "downloadURL": "https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factors-Selected-Metropolitan-Area/j32a-sa6u/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-02-19",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/j32a-sa6u",
            "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2011 to Present)"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data Series",
          "description": "BRFSS SMART MMSA Prevalence land line only data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 NV Dental SHOP",
      "identifier": "j5bh-rfhd",
      "description": "Dataset.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2015-10-29T20:53:57Z",
      "modified": "2015-12-03T00:34:39Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2016-qhp-landscape-nv-shop-market-dental.j5bh-rfhd.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/1638ae1f-5956-4f59-a497-c23ab98e2ac4",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2015 Edition Market Readiness for Hospitals and Clinicians Data",
      "description": "This dataset provides the proportion of developers, by market share, that have certified 2015 edition health IT modules. Market share approximations are determined through an analysis of the certified health IT products reported by participants in the Medicare EHR Incentive Program from 2011 to 2016. Approximations use the most recently reported data for each unique clinician and hospital participant. It is important to understand how to interpret these approximations. Some clinicians and hospitals report certified software from more than one unique developer. The market share percentages in this dataset, therefore, include some double counting (the percentages will, if summed together, add up above 100 percent.) The approximations convey the percent of hospitals and clinicians who use a developer's technology, and are not to be interpreted in aggregate as the percent of all hospitals and clinicians who have access to 2015 edition certified technology.",
      "identifier": "j7aeu9v0-eudg-eqb6-3cik-gyv36mrqd7e7",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "2015 Edition Market Readiness for Hospitals and Clinicians Data landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/2015-edition-market-readiness-hospitals-and-clinicians-data"
      },
      "modified": "2019-04-12",
      "accrualPeriodicity": "monthly",
      "keyword": [
        "health IT",
        "health information technology",
        "ehrs",
        "electronic health records",
        "certified",
        "market"
      ],
      "relation": [
        "https://www.healthit.gov/data/quickstats/2015-edition-market-readiness-hospitals-and-clinicians"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 HI Individual Dental",
      "identifier": "jb55-ezf9",
      "description": "Dataset.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2015-10-29T20:41:36Z",
      "modified": "2015-12-03T00:36:17Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2016-qhp-landscape-hi-individual-market-dental.jb55-ezf9.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/509aaadd-58e0-4269-92d9-a41571d99cbf",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Complications and Unplanned Hospital Visits - PPS-Exempt Cancer Hospital - National",
        "accessURL": "https://data.cms.gov/provider-data/dataset/jfnd-nl7s"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2024-07-31",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "National",
        "Cancer",
        "Readmissions",
        "Emergency Department",
        "PPS-Exempt Cancer Hospital Quality Reporting",
        "Complications"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "jfnd-nl7s",
      "description": "Prospective Payment System (PPS)-Exempt Cancer Hospital Quality Reporting (PCHQR) Complications and Unplanned Hospital Visits. This dataset includes the percentage of patients who are receiving PCH-based outpatient chemotherapy treatment for all cancer types except leukemia who were admitted to the hospital or visited the emergency department for one of 10 conditions within 30 days after treatment. The dataset also includes the rate at which cancer patients have unplanned readmissions within 30 days of discharge from an eligible index admission. Finally, the dataset also includes the analysis of complications of a prostatectomy by comparing outcomes at the hospital/facility level during the year after prostate-directed surgery.",
      "title": "Complications and Unplanned Hospital Visits - PPS-Exempt Cancer Hospital - National",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/6a91b2a437ea47e61cd34c975dd54729_1785189956/PCH_Complications_Unplanned_Hospital_Visits_NATIONAL.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "MLR RY2016 Socrata Dataset 01192018",
      "identifier": "jg62-irbb",
      "description": "This file contains Medical Loss Ratio data for the 2016 Reporting Year, including the issuer’s MLR, the MLR standard, and the average rebate per person by state and market.",
      "accessLevel": "public",
      "issued": "2018-02-09T18:22:48Z",
      "modified": "2018-02-15T13:26:42Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Zack Sarver",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "theme": [
        "MLR"
      ],
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/mlr-ry2016-socrata-dataset-01192018.jg62-irbb.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/ae26b41c-5c2c-43d5-afa0-e8a559651be3",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "jiwm-ppbh",
      "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County  –  2018-2020",
      "description": "2018 to 2020, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Heart Disease and Stroke Surveillance",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division for Heart Disease and Stroke Prevention (DHDSP)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-02-11",
      "issued": "2022-06-07",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Heart Disease & Stroke Prevention"
        }
      ],
      "keyword": [
        "heart",
        "cardiovascular",
        "cardiovascular disease",
        "counties",
        "county",
        "heart disease"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
        "title": "CDC Division for Heart Disease and Stroke Prevention, Interactive Atlas of Heart Disease and Stroke"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
        "title": "DHDSP Requests"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2018-2020",
          "description": "2018 to 2020, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
          "accessURL": "https://data.cdc.gov/d/jiwm-ppbh",
          "downloadURL": "https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Heart-Disease-Mortality-Data-Among-US-Adults-35-by/jiwm-ppbh/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-02-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/jiwm-ppbh",
            "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2018-2020"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County Series",
          "description": "3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Network PUF - PY2017",
      "identifier": "jnky-88cv",
      "description": "The Network PUF (Ntwrk-PUF) is one of the seven files that make up the Marketplace PUF. The Ntwrk-PUF contains issuer-level data identifying provider network URLs. These data either originate from the Network ID template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated)",
      "accessLevel": "public",
      "issued": "2017-01-04T14:37:51Z",
      "modified": "2017-08-24T13:55:44Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Jennings",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/network-puf-2017.jnky-88cv.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/60ed5f1e-195d-4027-9073-7a4b6254e823",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "jz6n-v26y",
      "title": "NOHSS Adult Indicators",
      "description": "2012-2020 (even years). Data from BRFSS for indicators of adult oral health for even years from 2012 through 2020. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding.  For more information, see: https://www.cdc.gov/oralhealthdata/overview/Adult-Indicators.html.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Oral Health",
          "hasEmail": "mailto:oralhealth@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Oral Health (DOH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-01-30",
      "issued": "2015-04-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Oral Health"
        }
      ],
      "keyword": [
        "dental visits",
        "dentist",
        "division of oral health",
        "nohss",
        "oral health",
        "surveillance",
        "tooth loss",
        "dental cleaning",
        "access to care",
        "adult",
        "dental care",
        "brfss",
        "adults",
        "prevalence"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/oralhealth/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Oral Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/oralhealth/",
        "title": "Oral Health Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "NOHSS Adult Indicators",
          "description": "2012-2020 (even years). Data from BRFSS for indicators of adult oral health for even years from 2012 through 2020. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding.  For more information, see: https://www.cdc.gov/oralhealthdata/overview/Adult-Indicators.html.",
          "accessURL": "https://data.cdc.gov/d/jz6n-v26y",
          "downloadURL": "https://data.cdc.gov/Oral-Health/NOHSS-Adult-Indicators/jz6n-v26y/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-01-30",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/jz6n-v26y",
            "title": "NOHSS Adult Indicators"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "NOHSS Adult Indicators Series",
          "description": "Data from BRFSS for indicators of adult oral health for 1999 and even years from 2010 through 2020. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding.  For more information, see: https://www.cdc.gov/oralhealthdata/overview/Adult-Indicators.html."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2021 Individual Medical",
      "identifier": "jzae-njub",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2020-10-21T19:42:12Z",
      "modified": "2021-08-11T19:31:43Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "mediaType": "application/x-zip-compressed",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2021_Medi-Indi-Land-08_04_2021.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "k25u-mg9b",
      "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2018 release",
      "description": "2016, 2015. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. There are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) in this 2018 release from the 2015 BRFSS that were the same as the 2017 release.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2019-12-05",
      "issued": "2019-12-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "unhealthy",
        "tract",
        "prevention",
        "500cities",
        "behaviors",
        "prevalence",
        "outcomes",
        "census",
        "cities",
        "gis"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "500 Cities Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2018 release",
          "description": "2016, 2015. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. There are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) in this 2018 release from the 2015 BRFSS that were the same as the 2017 release.",
          "accessURL": "https://data.cdc.gov/d/k25u-mg9b",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/500-Cities-Census-Tract-level-Data-GIS-Friendly-Fo/k25u-mg9b/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2019-12-05",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/k25u-mg9b",
            "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2018 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "500 Cities: Census Tract-level Data (GIS Friendly Format) Series 2016-2019",
          "description": "500 cities project census tract-level data from 2016-209 in GIS-friendly format.  Dataset can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 Individual Medical",
      "identifier": "k2hw-8vcp",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T18:11:44Z",
      "modified": "2016-11-18T16:50:45Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2016_Med-Indi-Land-07-29-2016.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Healthcare Associated Infections - State",
        "accessURL": "https://data.cms.gov/provider-data/dataset/k2ze-bqvw"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Healthcare Associated Infections",
        "MRSA",
        "Surgical Site Infections",
        "Central Line Associated Blood Stream Infections",
        "Catheter Associated Urinary Tract Infections",
        "C.Difficile",
        "State"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "k2ze-bqvw",
      "description": "The Healthcare-Associated Infections (HAI) measures - state data. These measures are developed by Centers for Disease Control and Prevention (CDC) and collected through the National Healthcare Safety Network (NHSN). They provide information on infections that occur while the patient is in the hospital. These infections can be related to devices, such as central lines and urinary catheters, or spread from patient to patient after contact with an infected person or surface. Many healthcare associated infections can be prevented when the hospitals use CDC-recommended infection control steps.",
      "title": "Healthcare Associated Infections - State",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/27986ce2f1193d3fcad7fa1bddc93c3b_1785189953/Healthcare_Associated_Infections-State.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "k56w-7tny",
      "title": "500 Cities: City-level Data (GIS Friendly Format), 2016 release",
      "description": "2014, 2013. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2017-11-22",
      "issued": "2017-11-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "estimates",
        "prevalence",
        "500cities",
        "city"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
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        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "500 Cities Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
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          "description": "2014, 2013. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level.",
          "accessURL": "https://data.cdc.gov/d/k56w-7tny",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/500-Cities-City-level-Data-GIS-Friendly-Format-201/k56w-7tny/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2017-11-22",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/k56w-7tny",
            "title": "500 Cities: City-level Data (GIS Friendly Format), 2016 release"
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              "@type": "DataService",
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                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
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              ],
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        {
          "@type": "DatasetSeries",
          "title": "500 Cities: City-level Data (GIS Friendly Format) Series, 2016-2019",
          "description": "500 cities project city-level data from 22016-2019 in GIS-friendly format. Dataset can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "k5bc-k3g8",
      "title": "DASH - Youth Risk Behavior Surveillance System (YRBSS): Middle School",
      "description": "1991-2017. Middle School Dataset. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors \namong youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and \nother drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human \nimmunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors \nthe prevalence of obesity and asthma and other priority health behaviors.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Adolescent and School Health",
          "hasEmail": "mailto:nccdDashInfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
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              {
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2019-03-29",
      "issued": "2016-08-29",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Youth Risk Behaviors and Health Education"
        }
      ],
      "keyword": [
        "youth online",
        "risk behavior",
        "middle school",
        "survey",
        "yrbs"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/healthyyouth/about/index.htm",
        "title": "Division of Adolescent School Health (DASH)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
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        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/healthyyouth/about/index.htm",
        "title": "DASH Public Inquiries"
      },
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        {
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          "title": "DASH - Youth Risk Behavior Surveillance System (YRBSS): Middle School",
          "description": "1991-2017. Middle School Dataset. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors \namong youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and \nother drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human \nimmunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors \nthe prevalence of obesity and asthma and other priority health behaviors.",
          "accessURL": "https://data.cdc.gov/d/k5bc-k3g8",
          "downloadURL": "https://data.cdc.gov/Youth-Risk-Behaviors-and-Health-Education/DASH-Youth-Risk-Behavior-Surveillance-System-YRBSS/k5bc-k3g8/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2019-03-29",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/k5bc-k3g8",
            "title": "DASH - Youth Risk Behavior Surveillance System (YRBSS): Middle School"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
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              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Safety and Healthcare-Associated Infection Measures - PPS-Exempt Cancer Hospital",
        "accessURL": "https://data.cms.gov/provider-data/dataset/k653-4ka8"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-12",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Cancer",
        "Healthcare Associated Infections",
        "Surgical Site Infections",
        "MRSA",
        "C.Difficile",
        "PPS-Exempt Cancer Hospital Quality Reporting",
        "Catheter Associated Urinary Tract Infections",
        "Central Line Associated Blood Stream Infections"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "k653-4ka8",
      "description": "Prospective Payment System (PPS)-Exempt Cancer Hospital Quality Reporting (PCHQR) Program Healthcare Associated Infections. These measures are developed by Centers for Disease Control and Prevention (CDC) and collected through the National Healthcare Safety Network (NHSN). They provide information on infections that occur while the patient is in the hospital. These infections can be spread from patient to patient after contact with an infected person or surface. Many healthcare associated infections can be prevented when the hospitals use CDC-recommended infection control steps.",
      "title": "Safety and Healthcare-Associated Infection Measures - PPS-Exempt Cancer Hospital",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/d24fd9fa17ad5673de9cf6220c1c7a5a_1785189957/PCH_HEALTHCARE_ASSOCIATED_INFECTIONS_HOSPITAL.csv",
          "mediaType": "text/csv",
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            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "k86t-wghb",
      "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2019 release",
      "description": "2017, 2016. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. There are 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2019-12-05",
      "issued": "2016-11-02",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "gis",
        "unhealthy",
        "tract",
        "prevention",
        "prevalence",
        "outcomes",
        "cities",
        "census",
        "behaviors",
        "500cities"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
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          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
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      ],
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        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
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        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "500 Cities Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2019 release",
          "description": "2017, 2016. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. There are 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.",
          "accessURL": "https://data.cdc.gov/d/k86t-wghb",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/500-Cities-Census-Tract-level-Data-GIS-Friendly-Fo/k86t-wghb/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2019-12-05",
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            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/k86t-wghb",
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          },
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                "name": "Centers for Disease Control and Prevention (CDC)"
              }
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      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "500 Cities: Census Tract-level Data (GIS Friendly Format) Series 2016-2019",
          "description": "500 cities project census tract-level data from 2016-209 in GIS-friendly format.  Dataset can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "k8w5-7ju6",
      "title": "Nutrition, Physical Activity, and Obesity - Policy and Environmental Data",
      "description": "This dataset includes data on policy and environmental supports for physical activity, diet, and breastfeeding. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding.",
      "contactPoint": [
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        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-27",
      "issued": "2016-07-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Nutrition"
        },
        {
          "@type": "Concept",
          "prefLabel": "Physical Activity"
        },
        {
          "@type": "Concept",
          "prefLabel": "and Obesity"
        }
      ],
      "keyword": [
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        "fruit",
        "nutrition",
        "physical activity",
        "vegetable",
        "dnpao"
      ],
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          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
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        "accessURL": "https://www.cdc.gov/nccdphp/DNPAO/index.html",
        "title": "Centers for Disease Control and Prevention (CDC), National Center for Chronic Disease Prevention and Health Promotion, Division of Nutrition, Physical Activity, and Obesity"
      },
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          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
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        "name": "Centers for Disease Control and Prevention (CDC)"
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        "accessURL": "https://www.cdc.gov/nccdphp/DNPAO/index.html",
        "title": "DNPAO Public Inquiries"
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      "distribution": [
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          "title": "Nutrition, Physical Activity, and Obesity - Policy and Environmental Data",
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          "accessURL": "https://data.cdc.gov/d/k8w5-7ju6",
          "downloadURL": "https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-Policy-and/k8w5-7ju6/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-05-27",
          "describedBy": {
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            "title": "Nutrition, Physical Activity, and Obesity - Policy and Environmental Data"
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            {
              "@type": "AccessRestriction",
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              "@type": "DataService",
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                {
                  "@type": "Kind",
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Business Rules PUF - PY2018",
      "identifier": "k9rw-hjvp",
      "description": "The Business Rules PUF (BR-PUF) is one of the files that make up the Marketplace PUF. The BR-PUF contains plan-level data on the application of rates, such as allowed relationships (e.g., spouse, dependents) and tobacco use. These data either originate from the Business Rules template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
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      "contactPoint": {
        "fn": "Andrew Jennings",
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      "@type": "Dataset",
      "identifier": "k9zj-b28y",
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      "modified": "2025-09-11",
      "issued": "2025-09-11",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
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        "outcomes",
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        "risk",
        "status",
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        "places",
        "behaviors",
        "census tract",
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      "spatial": [
        {
          "@type": "Location",
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      "landingPage": {
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      },
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          ],
          "modified": "2025-09-11",
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          "title": "PLACES: Census Tract Data (GIS Friendly Format) Series 2020-2025",
          "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
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    },
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      "contactPoint": {
        "fn": "Nursing homes including rehab services",
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      "keyword": [
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    },
    {
      "@type": "Dataset",
      "title": "Business Rules PUF - PY2017",
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      "description": "The Business Rules PUF (BR-PUF) is one of the files that make up the Marketplace PUF. The BR-PUF contains plan-level data on the application of rates, such as allowed relationships (e.g., spouse, dependents) and tobacco use. These data either originate from the Business Rules template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
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      "issued": "2017-01-04T17:46:46Z",
      "modified": "2017-08-25T12:22:03Z",
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        "fn": "Andrew Jennings",
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      },
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    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2016 Medical SHOP",
      "identifier": "kcq3-w8xz",
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      "accessLevel": "public",
      "issued": "2015-10-28T16:54:15Z",
      "modified": "2016-11-18T16:52:50Z",
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        "fn": "Felix",
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      },
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan Attributes PUF - PY2017",
      "identifier": "kcsx-yk8u",
      "description": "The Plan Attributes PUF (Plan-PUF) is one of the files that make up the Marketplace PUF. The Plan-PUF contains plan-level data on maximum out of pocket payments, deductibles, cost sharing, health savings account (HSA) eligibility, formulary ID, and other plan attributes. These data either originate from the Plans &amp; Benefits template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated). The issuer can also import data created in other templates (e.g., Network IDs from the Network ID template, Service Area IDs from the Service Area template, and Formulary IDs from the Prescription Drug template) to use as allowable values for the applicable fields in the Plans &amp; Benefits template, or enter these values manually.",
      "accessLevel": "public",
      "issued": "2017-01-04T14:35:53Z",
      "modified": "2017-08-24T15:23:34Z",
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      "contactPoint": {
        "fn": "Andrew Jennings",
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      },
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          "format": "csv",
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        "009:38"
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "kee5-23sr",
      "title": "PLACES: ZCTA Data (GIS Friendly Format), 2025 release",
      "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey (ACS) 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. These data can be joined with the Census 2020 ZCTA boundary file in a GIS system to produce maps for 40 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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            ]
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        ]
      },
      "accessRights": "public",
      "modified": "2025-12-04",
      "issued": "2020-10-20",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "places",
        "zip code",
        "zcta",
        "status",
        "social needs",
        "risk",
        "prevention",
        "prevalence",
        "behaviors",
        "disability",
        "gis",
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        "outcomes"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
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          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
      "rights": [
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      ],
      "creator": {
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        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: ZCTA Data (GIS Friendly Format), 2025 release",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey (ACS) 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. These data can be joined with the Census 2020 ZCTA boundary file in a GIS system to produce maps for 40 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "accessURL": "https://data.cdc.gov/d/kee5-23sr",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-ZCTA-Data-GIS-Friendly-Format-2025-release/kee5-23sr/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-04",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/kee5-23sr",
            "title": "PLACES: ZCTA Data (GIS Friendly Format), 2025 release"
          },
          "accessRestriction": [
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          ],
          "useRestriction": [
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              "restrictionStatus": "unrestricted"
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          ],
          "accessService": [
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              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
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            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: ZCTA Data (GIS Friendly Format) Series, 2020-2025",
          "description": "This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project from 2020-2025 in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States 50 states and the District of Columbia (DC) at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2017 Individual Medical",
      "identifier": "kezr-bg23",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2016-11-07T15:50:56Z",
      "modified": "2017-08-23T19:54:24Z",
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      "contactPoint": {
        "fn": "Eze Onuoha",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
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        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/Medical_Individual_Landscape_Instructions_and_Notes_08-11-2017.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "RY2018 MLR Dataset 12032019",
      "identifier": "kfuw-rdvm",
      "description": "This file contains Medical Loss Ratio data for the 2018 Reporting Year, including the issuer’s MLR, the MLR standard, and the average rebate per family by state and market.",
      "accessLevel": "public",
      "issued": "2019-12-13T16:47:17Z",
      "modified": "2019-12-20T16:06:22Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
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        ]
      },
      "contactPoint": {
        "fn": "Andrew Giacomozzi",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "theme": [
        "MLR"
      ],
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/ry2018-mlr-dataset-12032019.kfuw-rdvm.csv",
          "describedBy": {
            "@type": "Distribution",
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            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/ae26b41c-5c2c-43d5-afa0-e8a559651be3",
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        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "kgsi-35re",
      "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County",
      "description": "2014 to 2016, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Heart Disease and Stroke Surveillance",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division for Heart Disease and Stroke Prevention (DHDSP)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-02-11",
      "issued": "2018-08-03",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Heart Disease & Stroke Prevention"
        }
      ],
      "keyword": [
        "county",
        "stroke",
        "cardiovascular disease",
        "cerebrovascular disease"
      ],
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        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
        "title": "CDC Division for Heart Disease and Stroke Prevention, Interactive Atlas of Heart Disease and Stroke"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
        "title": "DHDSP Requests"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County",
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          "accessURL": "https://data.cdc.gov/d/kgsi-35re",
          "downloadURL": "https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/kgsi-35re/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Open Database License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-02-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/kgsi-35re",
            "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
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              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
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              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
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              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
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        {
          "@type": "DatasetSeries",
          "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County Series",
          "description": "3-year average (2014-2021). Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 Dental SHOP",
      "identifier": "kir8-ychy",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T18:16:36Z",
      "modified": "2016-11-18T16:50:21Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
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        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2016_Dent-SHOP-Land-07-29-2016.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2015 Qualifying Health Plan Selections by Type of Consumer and County, as of February 22, 2015",
      "identifier": "kjvw-ka5c",
      "description": "All figures are based on plan selections with coverage periods that include March 1, 2015",
      "accessLevel": "public",
      "issued": "2015-06-22T15:19:26Z",
      "modified": "2015-07-02T22:03:08Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
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        "name": "Office of Communications (OC)",
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            "@type": "Organization",
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          }
        ]
      },
      "contactPoint": {
        "fn": "OEDA",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "consumer type",
        "county",
        "qualifying health plan"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qualifying-health-plan-selections-by-type-of-consumer-and-county-as-of-february-22-2015.kjvw-ka5c.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e9fe12fd-b4bd-4b67-9704-3db7d1129c48",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "kmvs-jkvx",
      "title": "PLACES: County Data (GIS Friendly Format), 2021 release",
      "description": "This dataset contains model-based county-level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2019 or 2018 county population estimates, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2015 county boundary file in a GIS system to produce maps for 29 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-10-04",
      "issued": "2022-10-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "health",
        "gis",
        "county",
        "risk",
        "prevention",
        "behaviors",
        "outcomes",
        "places",
        "status",
        "prevalence"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: County Data (GIS Friendly Format), 2021 release",
          "description": "This dataset contains model-based county-level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2019 or 2018 county population estimates, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2015 county boundary file in a GIS system to produce maps for 29 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",
          "accessURL": "https://data.cdc.gov/d/kmvs-jkvx",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-County-Data-GIS-Friendly-Format-2021-releas/kmvs-jkvx/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2022-10-04",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/kmvs-jkvx",
            "title": "PLACES: County Data (GIS Friendly Format), 2021 release"
          },
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              "restrictionStatus": "unrestricted"
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          ],
          "useRestriction": [
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              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: County Data (GIS Friendly Format) Series, 2020-2025",
          "description": "This dataset contains model-based county-level estimates in GIS-friendly format from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "knu9-e7pg",
      "title": "2020 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National ART Surveillance System",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-06-23",
      "issued": "2023-06-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Assisted Reproductive Technology (ART)"
        }
      ],
      "keyword": [
        "assisted reproductive technology",
        "art",
        "success rates",
        "services",
        "infertility",
        "fertility",
        "clinic"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Reproductive Health (DRH)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "ARTINFO"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2020 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics",
          "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.",
          "accessURL": "https://data.cdc.gov/d/knu9-e7pg",
          "downloadURL": "https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2020-Final-Assisted-Reproductive-Technology-ART-Pa/knu9-e7pg/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-06-23",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/knu9-e7pg",
            "title": "2020 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics"
          },
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              "restrictionStatus": "unrestricted"
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          ],
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              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
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          ],
          "accessService": [
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              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
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              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics Series",
          "description": "The ART Patient and Cycle Characteristics dataset series summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Benefits and Cost Sharing PUF - PY2020",
      "identifier": "kq37-29bw",
      "description": "The Benefits and Cost Sharing PUF (BenCS-PUF) is one of the files that make up the Marketplace PUF. The BenCS-PUF contains plan-level data on essential health benefits, coverage limits, and cost sharing for each QHP and SADP. These data either originate from the Plans &amp; Benefits template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2019-10-22T11:05:47Z",
      "modified": "2020-10-23T15:11:29Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Ashley Van Scyoc",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/benefits-and-cost-sharing-puf-2020.kq37-29bw.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/185f6fff-e7c4-443b-bdaf-285a8d308af8",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "krqc-563j",
      "title": "PLACES: Local Data for Better Health, Place Data 2023 release",
      "description": "This dataset contains model-based place (incorporated and census-designated places) estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-07-10",
      "issued": "2024-07-10",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "disability",
        "city",
        "brfss",
        "behaviors",
        "status",
        "risk",
        "prevention",
        "prevalence",
        "places",
        "place",
        "outcomes",
        "health"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, Place Data 2023 release",
          "description": "This dataset contains model-based place (incorporated and census-designated places) estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/krqc-563j",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Place-Data-202/krqc-563j/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-07-10",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/krqc-563j",
            "title": "PLACES: Local Data for Better Health, Place Data 2023 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Place Data Series, 2020-2025",
          "description": "This dataset contains model-based place (incorporated and census-designated places) estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "ESRD QIP - Dialysis Adequacy - Payment Year 2026",
        "accessURL": "https://data.cms.gov/provider-data/dataset/ktv_comprehensive"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2021-01-20",
      "@type": "Dataset",
      "modified": "2025-12-15",
      "released": "2026-01-21",
      "keyword": [
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "ESRD QIP Helpdesk",
        "hasEmail": "mailto:ESRDQIP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "ktv_comprehensive",
      "description": "This dataset includes facility details, performance rate, Kt/V Dialysis Adequacy Comprehensive measure score, and the state and national average measure scores for the Kt/V Dialysis Adequacy Comprehensive measure for the PY 2026 ESRD QIP.",
      "title": "ESRD QIP - Dialysis Adequacy - Payment Year 2026",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/a3b077caa24d4bb865fea0975533fa84_1767139549/KTV_COMPREHENSIVE.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 NV Individual Dental",
      "identifier": "kty9-8vvq",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2014-11-13T17:17:57Z",
      "modified": "2015-08-20T00:56:23Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_NV-Dent-Indi-Land-08-13-2015.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "kucs-wizg",
      "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2017 release",
      "description": "2015, 2014. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2018-10-15",
      "issued": "2018-10-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "cities",
        "prevalence",
        "outcomes",
        "500cities",
        "behaviors",
        "census",
        "gis",
        "unhealthy",
        "tract",
        "prevention"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "500 Cities Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2017 release",
          "description": "2015, 2014. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release.",
          "accessURL": "https://data.cdc.gov/d/kucs-wizg",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/500-Cities-Census-Tract-level-Data-GIS-Friendly-Fo/kucs-wizg/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2018-10-15",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/kucs-wizg",
            "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2017 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "500 Cities: Census Tract-level Data (GIS Friendly Format) Series 2016-2019",
          "description": "500 cities project census tract-level data from 2016-209 in GIS-friendly format.  Dataset can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rate PUF - PY2020",
      "identifier": "kvau-qy8m",
      "description": "The Rate PUF (Rate-PUF) is one of the files that make up the Marketplace PUF. The Rate-PUF contains plan-level data on individual rates based on an eligible subscriber’s age, tobacco use, and geographic location. These data either originate from the Rate Table template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2019-10-22T11:42:12Z",
      "modified": "2020-10-23T15:16:43Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Ashley Van Scyoc",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/rate-puf-2020.kvau-qy8m.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/ebc802df-e2ef-433e-9d22-64467af664b5",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "kwbr-syv2",
      "title": "CDC STATE System E-Cigarette Legislation - Tax",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislationâ€”Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state excise taxes on e-cigarettes and tax stamps.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-01",
      "issued": "2015-05-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Legislation"
        }
      ],
      "keyword": [
        "state system",
        "tax",
        "e-cigarette",
        "legislation",
        "osh",
        "policy"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC STATE System E-Cigarette Legislation - Tax",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislationâ€”Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state excise taxes on e-cigarettes and tax stamps.",
          "accessURL": "https://data.cdc.gov/d/kwbr-syv2",
          "downloadURL": "https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Tax/kwbr-syv2/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-04-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/kwbr-syv2",
            "title": "CDC STATE System E-Cigarette Legislation - Tax"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Quality PUF - PY2021",
      "identifier": "kxde-2cd8",
      "description": "Note: This Public Use File (PUF) was developed using data as of September 29, 2020. Withdrawn, non-certified, stand-alone dental (SADP), indemnity, child-only, suppressed, off-exchange QHPs, and plan IDs with missing or invalid product types are excluded from this data file. Reporting units (the unique combination of issuer ID, state, and plan type) discontinued before June 15, 2019 were exempt from QRS scoring. Reporting units discontinued on the Federally Facilitated Exchange after June 15, 2019 were removed from this PUF.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2020-10-27T17:43:54Z",
      "modified": "2020-10-27T17:49:41Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Matt Garofalo",
        "hasEmail": "mailto:nidhi.singh-shah@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Quality PUF - PY2021",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/quality-puf-2021-data.kxde-2cd8.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/bba3b8d8-064c-4d80-8a6f-49e4e8fce517",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2020 Individual Medical",
      "identifier": "kxp2-7zyr",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2019-10-16T18:15:15Z",
      "modified": "2020-10-23T20:28:52Z",
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        "@type": "Organization",
        "name": "Office of Communications (OC)",
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
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      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/Individual_Market_Medical_07_27_2020.xlsx.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 Dental SHOP",
      "identifier": "kz5p-dvnx",
      "description": "For instructions on how to read and use this data, visit: https://data.healthcare.gov/download/3ped-rtwb/application/pdf",
      "accessLevel": "public",
      "issued": "2014-11-13T16:59:21Z",
      "modified": "2015-08-20T00:15:35Z",
      "publisher": {
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      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
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          "@type": "Distribution",
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          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qhp-landscape-shop-market-dental.kz5p-dvnx.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/d63b71e0-9567-4263-9109-9db0f5f9a271",
            "title": "data.healthcare.gov"
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        "009:38"
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        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Lantern Project",
      "description": "Lantern is an open source tool for monitoring fielded health IT systems' certified FHIR API endpoints. It gathers availability information and information about FHIR support from endpoints' capability statements and provides visualizations to show FHIR adoption and patient data availability across the nation. Lantern helps to ensure that patients will have digital access to their data by providing visibility into levels of FHIR adoption as well as FHIR endpoint availability and usability.",
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      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
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      "bureauCode": [
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      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Lantern Project landing page",
        "accessURL": "https://lantern.healthit.gov/"
      },
      "keyword": [
        "health IT",
        "FHIR",
        "endpoints",
        "fast healthcare interoperability resources",
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        "application programming interface"
      ],
      "distribution": [
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          "mediaType": "text/csv",
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      "inventoried": "2026-09-27"
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    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2019 Individual Medical",
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      "issued": "2018-10-24T20:26:26Z",
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      "distribution": [
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          "@type": "Distribution",
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          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "downloadURL": "https://data.healthcare.gov/datafile/Individual_Market_Medical_07_25_2019.xlsx"
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      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "m35w-spkz",
      "title": "PLACES and 500 Cities: Data Dictionary",
      "description": "This dataset provides a data dictionary for PLACES and 500 Cities releases.  For each measure, the data dictionary provides the measure ID, measure full and short name, measure category ID and name, year of BRFSS data used to generate the estimate by release year, and frequency BRFSS collects data about the measure.",
      "contactPoint": [
        {
          "@type": "Kind",
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        "@type": "Organization",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-08-26",
      "issued": "2022-10-11",
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        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
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      ],
      "keyword": [
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        "places",
        "500 cities"
      ],
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        {
          "@type": "Location",
          "prefLabel": "United States"
        }
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        "@type": "Document",
        "accessURL": "https://www.cdc.gov/places",
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      ],
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      ],
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        "title": "PLACES Public Inquiries"
      },
      "distribution": [
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          "@type": "Distribution",
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          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-and-500-Cities-Data-Dictionary/m35w-spkz/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain U.S. Government",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-08-26",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/m35w-spkz",
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      "inventoried": "2026-09-27"
    },
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      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "Home Health QRP Help Desk",
        "hasEmail": "mailto:HomeHealthQualityQuestions@cms.hhs.gov"
      },
      "description": "Home Health Care - Zip Codes",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/45a8c0906996d5360adcd07e6dc05bc4_1782764087/HH_Zip_Jul2026.csv",
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          "describedBy": {
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            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/home_health/HHS_Data_Dictionary.pdf",
            "title": "data.cms.gov"
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      ],
      "identifier": "m5eg-upu5",
      "issued": "2026-05-27",
      "keyword": [
        "General Information",
        "Quality",
        "Ratings",
        "Comparison",
        "State",
        "Average",
        "Quality",
        "Measures",
        "National",
        "Location"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Home Health Care - Zip Codes",
        "accessURL": "https://data.cms.gov/provider-data/dataset/m5eg-upu5"
      },
      "modified": "2026-05-27",
      "programCode": [
        "009:000"
      ],
      "publisher": {
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "released": "2026-07-15",
      "nextUpdateDate": "2026-10-21",
      "theme": [
        "Home health services"
      ],
      "title": "Home Health Care - Zip Codes",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "Home Health CAHPS Helpdesk",
        "hasEmail": "mailto:hhcahps@rti.org"
      },
      "description": "State Data for Home Health Care - Patient Survey (HHCAHPS) for 2025Q1 to 2025Q4",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/aff3f51726e85555a9ada5f9bbc26123_1782764089/HHCAHPS_State_Jul2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/home_health/HHS_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "m5jg-jg7i",
      "issued": "2026-06-10",
      "keyword": [
        "Patient Survey",
        "State",
        "Average",
        "CAHPS",
        "Medicare",
        "Patient Experience of Care"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Home Health Care - Patient Survey (HHCAHPS) State Data 2025Q1 to 2025Q4",
        "accessURL": "https://data.cms.gov/provider-data/dataset/m5jg-jg7i"
      },
      "modified": "2026-06-10",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "released": "2026-07-15",
      "nextUpdateDate": "2026-10-21",
      "theme": [
        "Home health services"
      ],
      "title": "Home Health Care - Patient Survey (HHCAHPS) State Data 2025Q1 to 2025Q4",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2016 OR Individual Dental",
      "identifier": "m9db-u5fp",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T16:36:05Z",
      "modified": "2015-11-24T01:45:29Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
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        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_OR-Dent-Indi-Land-11-09-2015.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "mb5y-ytti",
      "title": "PLACES: Census Tract Data (GIS Friendly Format), 2021 release",
      "description": "This dataset contains model-based census tract level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 29 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. \nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-10-04",
      "issued": "2022-10-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "census tract",
        "health",
        "risk",
        "prevention",
        "prevalence",
        "places",
        "outcomes",
        "status",
        "behaviors",
        "gis"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Census Tract Data (GIS Friendly Format), 2021 release",
          "description": "This dataset contains model-based census tract level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 29 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. \nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",
          "accessURL": "https://data.cdc.gov/d/mb5y-ytti",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Census-Tract-Data-GIS-Friendly-Format-2021-/mb5y-ytti/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2022-10-04",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/mb5y-ytti",
            "title": "PLACES: Census Tract Data (GIS Friendly Format), 2021 release"
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              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
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              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Census Tract Data (GIS Friendly Format) Series 2020-2025",
          "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Certified Health Information Technology Reported by Clinicians for Promoting Interoperability Performance",
      "description": "The datasets combine CMS Quality Payment Program (QPP) participation data with the ONC Certified Health IT Product List (CHPL). The QPP Experience datasets provide the certified EHR technology (CEHRT) reported by all clinicians who reported for the Promoting Interoperability performance category, beginning in program year 2019. This data field can be merged with the CHPL data to provide specific certified product details.",
      "identifier": "mdefhgmo-m4rl-u8lo-nt13-j3rzymgi7wwo",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Certified Health Information Technology Reported by Clinicians for Promoting Interoperability Performance landing page",
        "accessURL": "https://healthit.gov/data/datasets/certified-health-information-technology-reported-clinicians-promoting/"
      },
      "modified": "2026-07-10",
      "accrualPeriodicity": "annually",
      "keyword": [
        "health IT",
        "certified electronic health record technology",
        "CEHRT",
        "adoption",
        "EHR vendors",
        "EHR developers",
        "CMS EHR Incentrive Program",
        "federal programs",
        "physicians",
        "clinicians"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "https://github.com/onc-healthit/onc-open-data/tree/main/puf",
          "accessURL": "https://github.com/onc-healthit/onc-open-data/tree/main/puf",
          "mediaType": "text/csv",
          "format": "CSV"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "ESRD QIP - Medication Reconciliation - Payment Year 2026",
        "accessURL": "https://data.cms.gov/provider-data/dataset/medrec"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2022-04-12",
      "@type": "Dataset",
      "modified": "2025-12-15",
      "released": "2026-01-21",
      "keyword": [
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "ESRD QIP Helpdesk",
        "hasEmail": "mailto:ESRDQIP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "medrec",
      "description": "This dataset includes facility details, measure score, and the state and national average measure scores for the Medication Reconciliation reporting measure included in the PY 2026 ESRD QIP.",
      "title": "ESRD QIP - Medication Reconciliation - Payment Year 2026",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/f55414574be69195513a81f6ba25cafa_1767139567/MEDREC.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Network PUF - PY2018",
      "identifier": "mfay-6hbn",
      "description": "The Network PUF (Ntwrk-PUF) is one of the seven files that make up the Marketplace PUF. The Ntwrk-PUF contains issuer-level data identifying provider network URLs. These data either originate from the Network ID template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated)",
      "accessLevel": "public",
      "issued": "2017-10-25T15:48:38Z",
      "modified": "2018-08-13T20:28:19Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Jennings",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/network-puf-2018.mfay-6hbn.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/60ed5f1e-195d-4027-9073-7a4b6254e823",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "mfvi-hkb9",
      "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County  –  2015-2017",
      "description": "2015 to 2017, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-and-stroke-data/index.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Heart Disease and Stroke Surveillance",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division for Heart Disease and Stroke Prevention (DHDSP)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-02-11",
      "issued": "2019-07-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Heart Disease & Stroke Prevention"
        }
      ],
      "keyword": [
        "heart",
        "county",
        "cardiovascular disease",
        "heart disease"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/heart-disease-and-stroke-data/index.html",
        "title": "CDC Division for Heart Disease and Stroke Prevention, Interactive Atlas of Heart Disease and Stroke"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/heart-disease-and-stroke-data/index.html",
        "title": "DHDSP Requests"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2015-2017",
          "description": "2015 to 2017, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-and-stroke-data/index.html",
          "accessURL": "https://data.cdc.gov/d/mfvi-hkb9",
          "downloadURL": "https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Heart-Disease-Mortality-Data-Among-US-Adults-35-by/mfvi-hkb9/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-02-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/mfvi-hkb9",
            "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2015-2017"
          },
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            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
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              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County Series",
          "description": "3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "healthcare"
      ],
      "contactPoint": {
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov",
        "fn": "CMS-WSD-Data-Team"
      },
      "dataQuality": true,
      "description": "Dataset.",
      "distribution": [
        {
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/Den-SHOP-Lndscp-IN-072720-508.pdf",
          "@type": "Distribution"
        }
      ],
      "identifier": "mibd-6jin",
      "title": "QHP Landscape Instructions PY2020 Dental SHOP",
      "issued": "2019-10-16T18:33:14Z",
      "modified": "2020-10-23T20:24:33Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "National Downloadable File",
        "accessURL": "https://data.cms.gov/provider-data/dataset/mj5m-pzi6"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-08-17",
      "@type": "Dataset",
      "modified": "2026-08-18",
      "released": "2026-09-10",
      "nextUpdateDate": "2026-10-15",
      "keyword": [
        "Clinicians",
        "Quality",
        "Location"
      ],
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:QPP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "mj5m-pzi6",
      "description": "The Doctors and Clinicians national downloadable file is organized such that each line is unique at the clinician/enrollment record/group/address level. Clinicians with multiple Medicare enrollment records and/or single enrollments linking to multiple practice locations are listed on multiple lines.",
      "title": "National Downloadable File",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/52c3f098d7e56028a298fd297cb0b38d_1787091341/DAC_NationalDownloadableFile.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/physician/DOC_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Doctors and clinicians"
      ],
      "archiveExclude": false,
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 Individual Medical",
      "identifier": "mp8z-jtg7",
      "description": "For instructions on how to read and use this data, visit: https://data.healthcare.gov/download/iii8-r222/application/pdf",
      "accessLevel": "public",
      "issued": "2014-11-13T17:15:39Z",
      "modified": "2015-08-20T00:23:02Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qhp-landscape-individual-market-medical.mp8z-jtg7.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/c727638c-f7b0-4f11-8a8b-2e0c4ab558bb",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2016 NV Individual Medical",
      "identifier": "mrnm-biu5",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T16:45:18Z",
      "modified": "2015-11-24T01:44:45Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_NV-Med-Indi-Land-11-09-2015.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "mssc-ksj7",
      "title": "PLACES: County Data (GIS Friendly Format), 2020 release",
      "description": "This dataset contains model-based county-level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2015 county boundary file in a GIS system to produce maps for 27 measures at the county level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2021-10-07",
      "issued": "2021-09-29",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "prevention",
        "outcomes",
        "gis",
        "unhealthy",
        "behaviors",
        "prevalence",
        "places",
        "county"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: County Data (GIS Friendly Format), 2020 release",
          "description": "This dataset contains model-based county-level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2015 county boundary file in a GIS system to produce maps for 27 measures at the county level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
          "accessURL": "https://data.cdc.gov/d/mssc-ksj7",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-County-Data-GIS-Friendly-Format-2020-releas/mssc-ksj7/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2021-10-07",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/mssc-ksj7",
            "title": "PLACES: County Data (GIS Friendly Format), 2020 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: County Data (GIS Friendly Format) Series, 2020-2025",
          "description": "This dataset contains model-based county-level estimates in GIS-friendly format from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "RY2011 MLR Dataset 20121206",
      "identifier": "mt79-mi5w",
      "description": "This file contains Medical Loss Ratio data for Reporting Year 2011 including market wide standard MLR, Issuer's MLR and Average Rebate per Subscriber for 2011.",
      "accessLevel": "public",
      "issued": "2013-06-21T00:08:42Z",
      "modified": "2013-06-21T19:53:39Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Louis Fettet",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "theme": [
        "MLR"
      ],
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/ry2011-mlr-dataset-20121206.mt79-mi5w.csv",
          "describedBy": {
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            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/9181d9b2-6a6e-4f01-82f9-81c63c9cbcb9",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2014 ID Individual Medical",
      "identifier": "mudy-c8dk",
      "description": "Dataset.",
      "accessLevel": "public",
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    {
      "@type": "Dataset",
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      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2016 NV Medical SHOP",
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 OR Individual Medical",
      "identifier": "nc54-t2vu",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-29T19:36:07Z",
      "modified": "2015-12-03T00:28:49Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2016-qhp-landscape-or-individual-market-medical.nc54-t2vu.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e6c3db71-d4c4-41bf-bb7e-7c1d97573122",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2015 Qualifying Health Plan Selections by CSR and County, as of February 22, 2015",
      "identifier": "ncbw-vdsn",
      "description": "All figures are based on plan selections with coverage periods that include March 1, 2015",
      "accessLevel": "public",
      "issued": "2015-06-22T15:10:01Z",
      "modified": "2015-07-02T14:29:14Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "OEDA",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "cost sharing reduction",
        "county",
        "csr",
        "qualifying health plan"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qualifying-health-plan-selections-by-csr-and-county-as-of-february-22-2015.ncbw-vdsn.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/723a2b25-20df-40c6-8bbd-b59f2f17ee9e",
            "title": "data.healthcare.gov"
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          "license": "https://www.usa.gov/government-works"
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      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "ndzg-9nmv",
      "title": "PLACES: Place Data (GIS Friendly Format), 2020 release",
      "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 27 measures at the place level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2021-10-07",
      "issued": "2021-09-29",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "prevalence",
        "prevention",
        "unhealthy",
        "behaviors",
        "city",
        "gis",
        "outcomes",
        "place",
        "places"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Place Data (GIS Friendly Format), 2020 release",
          "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 27 measures at the place level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
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          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Place-Data-GIS-Friendly-Format-2020-release/ndzg-9nmv/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2021-10-07",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/ndzg-9nmv",
            "title": "PLACES: Place Data (GIS Friendly Format), 2020 release"
          },
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              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
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          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
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              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
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        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Place Data (GIS Friendly Format) Series, 2020-2025",
          "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "ne52-uraz",
      "title": "CDC STATE System E-Cigarette Legislation - Licensure",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislationâ€”Licensure. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to requirements, restrictions and penalties associated with holding a retail license to sell e-cigarettes over-the-counter and through vending machines.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-01",
      "issued": "2015-05-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Legislation"
        }
      ],
      "keyword": [
        "licensure",
        "osh",
        "state system",
        "policy",
        "legislation",
        "e-cigarette"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC STATE System E-Cigarette Legislation - Licensure",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislationâ€”Licensure. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to requirements, restrictions and penalties associated with holding a retail license to sell e-cigarettes over-the-counter and through vending machines.",
          "accessURL": "https://data.cdc.gov/d/ne52-uraz",
          "downloadURL": "https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Licensure/ne52-uraz/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-04-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/ne52-uraz",
            "title": "CDC STATE System E-Cigarette Legislation - Licensure"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2017 Medical SHOP",
      "identifier": "nem2-ryhk",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2016-11-07T17:13:44Z",
      "modified": "2017-08-23T19:37:44Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Eze Onuoha",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2017_SHOP_Market_Medical_08_11_2017.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "ESRD QIP - NHSN Bloodstream Infection - Payment Year 2026",
        "accessURL": "https://data.cms.gov/provider-data/dataset/nhsn_bsi"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2021-01-04",
      "@type": "Dataset",
      "modified": "2025-12-15",
      "released": "2026-01-21",
      "keyword": [
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "ESRD QIP Helpdesk",
        "hasEmail": "mailto:ESRDQIP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "nhsn_bsi",
      "description": "This dataset includes facility details, performance rate, measure score, and the state and national average measure scores for the NHSN Bloodstream Infection measure included in the PY 2026 ESRD QIP.",
      "title": "ESRD QIP - NHSN Bloodstream Infection - Payment Year 2026",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/39d2f35a37d8587a9bc19f5a83946bd6_1767139557/NHSN_BSI.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "ESRD QIP - NHSN Dialysis Event Measure - Payment Year 2026",
        "accessURL": "https://data.cms.gov/provider-data/dataset/nhsn_de"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2021-01-04",
      "@type": "Dataset",
      "modified": "2025-12-15",
      "released": "2026-01-21",
      "keyword": [
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "ESRD QIP Helpdesk",
        "hasEmail": "mailto:ESRDQIP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "nhsn_de",
      "description": "This dataset includes facility details, measure score, and the state and national average measure scores for the NHSN Dialysis Event measure included in the PY 2026 ESRD QIP.",
      "title": "ESRD QIP - NHSN Dialysis Event Measure - Payment Year 2026",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/b57ec2f41171410daf4ba4f09433f35f_1767139556/NHSN_DIALYSIS_EVENT.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Benefits and Cost Sharing PUF - PY2017",
      "identifier": "np2y-8daw",
      "description": "The Benefits and Cost Sharing PUF (BenCS-PUF) is one of the files that make up the Marketplace PUF. The BenCS-PUF contains plan-level data on essential health benefits, coverage limits, and cost sharing for each QHP and SADP. These data either originate from the Plans &amp; Benefits template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2017-01-04T15:06:40Z",
      "modified": "2017-08-25T12:21:38Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Jennings",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/benefits-cost-sharing-puf-2017.np2y-8daw.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e1e0c7bb-196d-4589-a0b1-f04cbf775a81",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Maternal Health - Hospital",
        "accessURL": "https://data.cms.gov/provider-data/dataset/nrdb-3fcy"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-05",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Maternal Health",
        "Structural Measure"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "nrdb-3fcy",
      "description": "These measures are intended to drive improvements in maternal health. By providing care to pregnant women that follows best practices that advance health care quality, safety, and equity, hospitals and doctors can improve chances for a safe delivery and a healthy baby.",
      "title": "Maternal Health - Hospital",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/5a4754b088fdb10d2ae278ef215925a7_1785189972/Maternal_Health-Hospital.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Medicare Hospital Spending by Claim",
        "accessURL": "https://data.cms.gov/provider-data/dataset/nrth-mfg3"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-01-26",
      "released": "2026-08-13",
      "keyword": [
        "Medicare Spending per Beneficiary"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "nrth-mfg3",
      "description": "The data displayed here describes average spending levels during hospitals' Medicare Spending Per Beneficiary (MSPB) episodes by Medicare claim type. The data presented provide price-standardized, non-risk-adjusted values for hospital spending by claim type because risk adjustment is done at the episode level rather than at the service category/claim level. An MSPB episode includes all Medicare Part A and Part B claims paid during the period from 3 days prior to an inpatient hospital admission through 30 days after discharge.",
      "title": "Medicare Hospital Spending by Claim",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/1f8cde9e222d5d49f88a894bcf7a8981_1770163638/Medicare_Hospital_Spending_by_Claim.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Direct Enrollment Partners",
      "identifier": "nsnu-pbze",
      "description": "Dataset.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2018-09-27T04:00:00Z",
      "modified": "2024-08-07T21:14:00Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Hiko Naito - TylerTech/Socrata employee",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare",
        "utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/approved_080824v2.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/9e3569fd-6e5c-4b6f-a72c-5a23d4926b11",
            "title": "data.healthcare.gov"
          },
          "_update": "2026-04-10",
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2017 Dental SHOP",
      "identifier": "nu23-uv2y",
      "description": "For instructions on how to read and use this data, visit https://data.healthcare.gov/download/5gqy-8jnf/application%2Fpdf",
      "accessLevel": "public",
      "issued": "2016-11-07T16:30:33Z",
      "modified": "2017-05-24T18:05:51Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Eze Onuoha",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2017-qhp-landscape-shop-market-dental.nu23-uv2y.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/2bb1cd53-e7cd-47bb-8174-bd325bd9e906",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 NV Dental SHOP",
      "identifier": "nuhs-jx5b",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T17:44:58Z",
      "modified": "2015-11-24T01:35:18Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2016_NV-Dent-SHOP-Land-11-19-2015.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "nw2y-v4gm",
      "title": "PLACES: Local Data for Better Health, Census Tract Data 2022 release",
      "description": "This dataset contains model-based census tract-level estimates for the PLACES 2022 release. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
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            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-06-15",
      "issued": "2023-06-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "prevalence",
        "status",
        "risk",
        "prevention",
        "places",
        "outcomes",
        "health",
        "census tract",
        "brfss",
        "behaviors"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, Census Tract Data 2022 release",
          "description": "This dataset contains model-based census tract-level estimates for the PLACES 2022 release. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/nw2y-v4gm",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Census-Tract-D/nw2y-v4gm/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-06-15",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/nw2y-v4gm",
            "title": "PLACES: Local Data for Better Health, Census Tract Data 2022 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Census Tract Data Series, 2020-2025",
          "description": "This dataset contains model-based census tract-level estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia (DC) at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 Medical SHOP",
      "identifier": "nyb9-erui",
      "description": "For instructions on how to read and use this data, visit: https://data.healthcare.gov/download/v36e-g3wx/application/pdf",
      "accessLevel": "public",
      "issued": "2014-11-13T18:08:23Z",
      "modified": "2015-08-20T00:21:09Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qhp-landscape-shop-market-medical.nyb9-erui.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/78853c59-4b58-4e6b-88e1-5c31213b9981",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Office-based Health Care Providers Database",
      "description": "ONC uses the SK&A Office-based Provider Database to calculate the counts of medical doctors, doctors of osteopathy, nurse practitioners, and physician assistants at the state and count level from 2011 through 2013. These counts are grouped as a total, as well as segmented by each provider type and separately as counts of primary care providers.",
      "identifier": "oerg8yyb-66a7-cry5-ljpv-0x7h9uz4xq52",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Office-based Health Care Providers Database landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/office-based-health-care-providers-database"
      },
      "modified": "2014-12-31",
      "keyword": [
        "health information technology",
        "health IT",
        "primary care physicians",
        "non-primary physicians",
        "nurse practitioners",
        "physician assistants",
        "office-based physicians",
        "providers"
      ],
      "relation": [
        "https://www.healthit.gov/data/apps/office-based-physicians-have-demonstrated-meaningful-use-through-medicare-ehr-incentive"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2014 Medical SHOP",
      "identifier": "p2s5-qnvx",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2013-12-11T00:31:04Z",
      "modified": "2014-08-20T22:02:17Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/SHOP_Market_Medical_8_11_14.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 Individual Dental",
      "identifier": "p464-jeaq",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2014-11-13T17:05:42Z",
      "modified": "2015-08-20T00:46:54Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_Dent-Indi-Land-08-13-2015.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan ID Crosswalk  PUF - PY2020",
      "identifier": "p7h5-7vyf",
      "description": "The Plan ID Crosswalk PUF (CW-PUF) is one of the files that make up the Marketplace PUF. The purpose of the CW-PUF is to map QHPs and SADPs offered through the Marketplaces in 2019 to plans that will be offered through the Marketplaces in 2020. These data either originate from the Plan Crosswalk template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).This data dictionary describes the variables contained in the CW-PUF. Each record relates to a mapping between a plan offered in 2019 and a plan offered in 2020 at the county or county-zip code level.",
      "accessLevel": "public",
      "issued": "2019-10-22T11:36:39Z",
      "modified": "2020-10-23T15:45:28Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Ashley Van Scyoc",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/plan-id-crosswalk-puf-2020.p7h5-7vyf.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/ef2bedc1-fee8-4a26-b8c8-94de047547f8",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2017 Medical SHOP",
      "identifier": "pekv-h4eb",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2016-11-07T15:52:08Z",
      "modified": "2017-08-23T19:52:28Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Eze Onuoha",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/Medical_SHOP_Landscape_Instructions_and_Notes_08-11-2017.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "pf7q-w24q",
      "title": "500 Cities: City-level Data (GIS Friendly Format), 2018 release",
      "description": "2016, 2015. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. There are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) in this 2018 release from the 2015 BRFSS that were the same as the 2017 release.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2019-12-05",
      "issued": "2019-12-05",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "cities",
        "gis",
        "outcomes",
        "prevalence",
        "prevention",
        "tract",
        "unhealthy",
        "500cities",
        "behaviors",
        "census"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "500 Cities Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "500 Cities: City-level Data (GIS Friendly Format), 2018 release",
          "description": "2016, 2015. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. There are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) in this 2018 release from the 2015 BRFSS that were the same as the 2017 release.",
          "accessURL": "https://data.cdc.gov/d/pf7q-w24q",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/500-Cities-City-level-Data-GIS-Friendly-Format-201/pf7q-w24q/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2019-12-05",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/pf7q-w24q",
            "title": "500 Cities: City-level Data (GIS Friendly Format), 2018 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "500 Cities: City-level Data (GIS Friendly Format) Series, 2016-2019",
          "description": "500 cities project city-level data from 22016-2019 in GIS-friendly format. Dataset can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2019 Medical SHOP",
      "identifier": "pgbj-nhkh",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2018-10-24T19:52:42Z",
      "modified": "2019-08-09T14:21:01Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/Med-SHOP-Landscape.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "piju-vf3p",
      "title": "CDC STATE System E-Cigarette Legislation - Preemption",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislationâ€”Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to statutory state preemption of more stringent local laws on advertising, smokefree indoor air, youth access and licensure.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-01",
      "issued": "2015-05-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Legislation"
        }
      ],
      "keyword": [
        "preemption",
        "state system",
        "e-cigarette",
        "legislation",
        "osh",
        "policy"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC STATE System E-Cigarette Legislation - Preemption",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislationâ€”Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to statutory state preemption of more stringent local laws on advertising, smokefree indoor air, youth access and licensure.",
          "accessURL": "https://data.cdc.gov/d/piju-vf3p",
          "downloadURL": "https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Preemptio/piju-vf3p/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-04-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/piju-vf3p",
            "title": "CDC STATE System E-Cigarette Legislation - Preemption"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "pj7z-f3xf",
      "title": "CDC PRAMStat Data for 2005",
      "description": "2005. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "the Pregnancy Risk Assessment Monitoring System",
          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2015-03-16",
      "issued": "2015-03-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Maternal & Child Health"
        }
      ],
      "keyword": [
        "sleep behavior",
        "abuse",
        "alcohol use",
        "breastfeeding",
        "contraception",
        "infant health",
        "medicaid",
        "mental health",
        "morbidity",
        "obesity",
        "preconception health",
        "pregnancy history",
        "prenatal care",
        "reproductive health",
        "smoke exposure",
        "stress",
        "tobacco use",
        "unintended pregnancy",
        "wic"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/prams/index.htm",
        "title": "Centers for Disease Control and Prevention Division of Reproductive Health Pregnancy Risk Assessment Monitoring System (PRAMS)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/prams/index.htm",
        "title": "DRH Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC PRAMStat Data for 2005",
          "description": "2005. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
          "accessURL": "https://data.cdc.gov/d/pj7z-f3xf",
          "downloadURL": "https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2005/pj7z-f3xf/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2015-03-16",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/pj7z-f3xf",
            "title": "CDC PRAMStat Data for 2005"
          },
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              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
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              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "CDC PRAMStat Dataset Series",
          "description": "PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 NV Medical SHOP",
      "identifier": "pmci-fk93",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T17:37:57Z",
      "modified": "2015-11-24T01:36:33Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2016_NV-Med-SHOP-Land-11-19-2015.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 NV Individual Medical",
      "identifier": "pmxe-irvb",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-29T19:55:11Z",
      "modified": "2015-12-03T00:29:10Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2016-qhp-landscape-nv-individual-market-medical.pmxe-irvb.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e6c3db71-d4c4-41bf-bb7e-7c1d97573122",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "ESRD QIP - Percentage of Prevalent Patients Waitlisted - Payment Year 2026",
        "accessURL": "https://data.cms.gov/provider-data/dataset/pppw"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2022-04-12",
      "@type": "Dataset",
      "modified": "2025-12-15",
      "released": "2026-01-21",
      "keyword": [
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "ESRD QIP Helpdesk",
        "hasEmail": "mailto:ESRDQIP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "pppw",
      "description": "This dataset includes facility details, performance rates, measure score, and the state and national average measure scores for the PPPW measure for the PY 2026 ESRD QIP.",
      "title": "ESRD QIP - Percentage of Prevalent Patients Waitlisted - Payment Year 2026",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/13116a36e1ecb42f8a8ec505d968e9f8_1767139569/PPPW.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "pqpp-u99h",
      "title": "PLACES: Local Data for Better Health, County Data 2021 release",
      "description": "This dataset contains model-based county-level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities Project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2019 or 2018 county population estimate data, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-10-04",
      "issued": "2022-10-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "status",
        "brfss",
        "county",
        "health",
        "outcomes",
        "places",
        "prevalence",
        "prevention",
        "risk",
        "behaviors"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, County Data 2021 release",
          "description": "This dataset contains model-based county-level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities Project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2019 or 2018 county population estimate data, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/pqpp-u99h",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-County-Data-20/pqpp-u99h/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2022-10-04",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/pqpp-u99h",
            "title": "PLACES: Local Data for Better Health, County Data 2021 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: County Data Series, 2020-2025",
          "description": "This dataset series contains model-based county estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "RY2012 MLR Dataset 20130805",
      "identifier": "pqqm-izx7",
      "description": "This file contains Medical Loss Ratio data for Reporting Year 2012 including market wide standard MLR, Issuer's MLR and Average Rebate per Issuer for 2012.",
      "accessLevel": "public",
      "issued": "2013-08-14T23:07:33Z",
      "modified": "2019-10-07T23:04:11Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Zack Sarver",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "theme": [
        "MLR"
      ],
      "keyword": [
        "mlr"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/ry2012-mlr-dataset-20130805.pqqm-izx7.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/9181d9b2-6a6e-4f01-82f9-81c63c9cbcb9",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "MLR RY2014 Socrata Dataset 10302015",
      "identifier": "pszf-56pp",
      "description": "This file contains Medical Loss Ratio data for the 2014 Reporting Year, including the issuer’s MLR, the MLR standard, and the average rebate per family by state and market.",
      "accessLevel": "public",
      "issued": "2015-11-17T20:31:20Z",
      "modified": "2015-11-19T01:43:37Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Zack Sarver",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "theme": [
        "MLR"
      ],
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/mlr-ry2014-socrata-dataset-10302015.pszf-56pp.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/9181d9b2-6a6e-4f01-82f9-81c63c9cbcb9",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Veterans Health Administration Timely and Effective Care Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/ptds-r8im"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-05",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Veterans Health Administration",
        "Timely and Effective Care",
        "Emergency Department"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "ptds-r8im",
      "description": "A list of VHA hospitals with timely and effective care (process of care) measure data. VHA collects this information through a Quality Improvement Organization (External Peer Review Program) or directly from electronic medical records.",
      "title": "Veterans Health Administration Timely and Effective Care Data",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/07084088a9de9e44c51bef291a4e163a_1785189971/VA_TE.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "pttf-ck53",
      "title": "BRFSS Vision Module Data  –  Vision & Eye Health",
      "description": "2005-2016. This dataset includes data from the retired BRFSS Vision Module. From 2005-2011 the BRFSS employed a ten question vision module regarding vision impairment, access and utilization of eye care, and self-reported eye diseases. In 2013 and subsequently, one question in the core of BRFSS asks about vision: â€œAre you blind or do you have serious difficulty seeing, even when wearing glasses?â€ The latest data for this core question can be found in the Vision and Eye Health Surveillance System (VEHSS). VEHSS is intended to provide population estimates of vision loss function, eye diseases, health disparities, as well as barriers and facilitators to access to vision and eye care. This information can be used for designing, implementing, and evaluating vision and eye health prevention programs. To access the latest BRFSS data, (2013-2017) view the Behavioral Risk Factors  –  Vision and Eye Health Surveillance dataset (https://chronicdata.cdc.gov/Vision-Eye-Health/Behavioral-Risk-Factors-Vision-and-Eye-Health-Surv/vkwg-yswv).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vision and Eye Health Surveillance System",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Diabetes Translation (DDT)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-03-26",
      "issued": "2015-06-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vision & Eye Health"
        }
      ],
      "keyword": [
        "smoking",
        "state",
        "hypertension",
        "heart diseases",
        "eye diseases",
        "diabetes",
        "stroke",
        "vhi",
        "vision impairment",
        "physical activity"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/vehss/index.html",
        "title": "Centers for Disease Control and Prevention's Division of Diabetes Translation"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/vehss/index.html",
        "title": "DDT Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "BRFSS Vision Module Data – Vision & Eye Health",
          "description": "2005-2016. This dataset includes data from the retired BRFSS Vision Module. From 2005-2011 the BRFSS employed a ten question vision module regarding vision impairment, access and utilization of eye care, and self-reported eye diseases. In 2013 and subsequently, one question in the core of BRFSS asks about vision: â€œAre you blind or do you have serious difficulty seeing, even when wearing glasses?â€ The latest data for this core question can be found in the Vision and Eye Health Surveillance System (VEHSS). VEHSS is intended to provide population estimates of vision loss function, eye diseases, health disparities, as well as barriers and facilitators to access to vision and eye care. This information can be used for designing, implementing, and evaluating vision and eye health prevention programs. To access the latest BRFSS data, (2013-2017) view the Behavioral Risk Factors – Vision and Eye Health Surveillance dataset (https://chronicdata.cdc.gov/Vision-Eye-Health/Behavioral-Risk-Factors-Vision-and-Eye-Health-Surv/vkwg-yswv).",
          "accessURL": "https://data.cdc.gov/d/pttf-ck53",
          "downloadURL": "https://data.cdc.gov/Vision-Eye-Health/BRFSS-Vision-Module-Data-Vision-Eye-Health/pttf-ck53/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-03-26",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/pttf-ck53",
            "title": "BRFSS Vision Module Data – Vision & Eye Health"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Hospital Value-Based Purchasing (HVBP) - Clinical Outcomes Domain Scores",
        "accessURL": "https://data.cms.gov/provider-data/dataset/pudb-wetr"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-05",
      "@type": "Dataset",
      "modified": "2026-01-26",
      "released": "2026-08-13",
      "keyword": [
        "Value Based Purchasing",
        "Linking Quality to Payment",
        "Clinical Outcomes",
        "Mortality",
        "Complications",
        "Acute Myocardial Infarction",
        "Heart Failure",
        "Pneumonia",
        "Chronic Obstructive Pulmonary Disease",
        "Coronary Artery Bypass Graft",
        "Performance",
        "Achievement",
        "Total Hip and/or Total Knee Arthroplasty"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "pudb-wetr",
      "description": "A list of hospitals participating in the FY 2026 Hospital VBP Program and their performance rates and scores for the Clinical Outcomes measures. ",
      "title": "Hospital Value-Based Purchasing (HVBP) - Clinical Outcomes Domain Scores",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/f5c74a8e8a0f2017f6e13b6fc517ae4e_1770163619/hvbp_clinical_outcomes.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Service Area PUF - PY2019",
      "identifier": "pumj-kdpm",
      "description": "The Service Area PUF (SA-PUF) is one of the files that make up the Marketplace PUF. The SA-PUF contains issuer-level data on the geographic coverage or service area (i.e., where the plan is offered) including state, county, and zip code. These data either originate from the Service Area template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2018-10-25T12:28:29Z",
      "modified": "2019-10-21T20:20:06Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Jennings",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/service-area-puf-2019.pumj-kdpm.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/cf346473-7a74-4ca7-a6cb-32c0bd943e89",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "RY2019 MLR Dataset 12042020",
      "identifier": "pwgg-dtft",
      "description": "This file contains Medical Loss Ratio data for the 2019 Reporting Year, including the issuer's MLR, the MLR standard, and the average rebate per family by state and market.",
      "accessLevel": "public",
      "issued": "2020-12-10T15:28:37Z",
      "modified": "2020-12-15T23:10:52Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Giacomozzi",
        "hasEmail": "mailto:andrew.giacomozzi@cgifederal.com"
      },
      "theme": [
        "MLR"
      ],
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/ry2019-mlr-dataset-12042020.pwgg-dtft.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/ae26b41c-5c2c-43d5-afa0-e8a559651be3",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2014 ID Individual Medical",
      "identifier": "pwit-ub85",
      "description": "QHP Landscape ID Individual Market Medical - Idaho  For instructions on how to read and use this data, please view the documentation available under the ‘About’ tab on this page.",
      "accessLevel": "public",
      "issued": "2013-12-02T12:26:11Z",
      "modified": "2014-08-20T21:48:28Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/qhp-landscape-id-individual-market-medical.pwit-ub85.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/2b2a6e20-fdde-40db-a0ee-e2cb740678bd",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessLevel": "public",
      "keyword": [
        "healthcare"
      ],
      "contactPoint": {
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov",
        "fn": "CMS-WSD-Data-Team"
      },
      "dataQuality": true,
      "description": "Dataset.",
      "distribution": [
        {
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/Med-Ind-Landscape.pdf",
          "@type": "Distribution"
        }
      ],
      "identifier": "pwv8-ad2e",
      "title": "QHP Landscape Instructions PY2021 Individual Medical",
      "issued": "2020-10-21T19:21:18Z",
      "modified": "2021-08-11T19:23:27Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "@type": "Dataset",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 OR Individual Medical",
      "identifier": "pwzx-pjmx",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T16:32:58Z",
      "modified": "2015-11-24T01:45:51Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
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        "fn": "Felix",
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          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_OR-Med-Indi-Land-11-09-2015.pdf"
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      ],
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        "009:38"
      ],
      "programCode": [
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    {
      "@type": "Dataset",
      "identifier": "pxpe-pgrg",
      "title": "DASH - Global School-based Student Health Survey (GSHS)",
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      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Adolescent and School Health",
          "hasEmail": "mailto:nccdDashInfo@cdc.gov"
        }
      ],
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        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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        ]
      },
      "accessRights": "public",
      "modified": "2018-06-14",
      "issued": "2018-05-25",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Youth Risk Behaviors and Health Education"
        }
      ],
      "keyword": [
        "survey",
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        "youth online",
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        "risk behavior"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/healthyyouth/about/index.htm",
        "title": "Division of Adolescent School Health (DASH)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
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      ],
      "creator": {
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      "distribution": [
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          "accessURL": "https://data.cdc.gov/d/pxpe-pgrg",
          "downloadURL": "https://data.cdc.gov/Youth-Risk-Behaviors-and-Health-Education/DASH-Global-School-based-Student-Health-Survey-GSH/pxpe-pgrg/data_preview",
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            "No rights reserved. This data is in the public domain."
          ],
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      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2014 NM Individual Medical",
      "identifier": "q3bc-76k2",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2013-12-11T00:34:18Z",
      "modified": "2014-08-20T21:55:49Z",
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        "name": "Office of Communications (OC)",
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      "contactPoint": {
        "fn": "chris.thierer",
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          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/NM_Individual_Market_Medical_8_11_14.zip"
        }
      ],
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      ],
      "programCode": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": " QHP Landscape PY2018 Dental SHOP",
      "identifier": "q5zh-26b2",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2017-10-25T12:22:53Z",
      "modified": "2019-02-18T23:26:46Z",
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          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2018_SHOP_Market_Dental_07_26_2018.xlsx.zip"
        }
      ],
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "q6p7-56au",
      "title": "DASH - Youth Risk Behavior Surveillance System (YRBSS): High School  –   Including Sexual Orientation",
      "description": "2015-2017. High School Dataset  –  Including Sexual Orientation. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors\namong youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and\nother drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human\nimmunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors\nthe prevalence of obesity and asthma and other priority health behaviors.  This dataset contains national, state, and local data from 2015 that includes two aspects of sexual orientation  –  sexual identity and sex of sexual contacts.  Additional information about the YRBSS can be found at www.cdc.gov/yrbss.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Adolescent and School Health",
          "hasEmail": "mailto:nccdDashInfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2019-03-29",
      "issued": "2017-06-27",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Youth Risk Behaviors and Health Education"
        }
      ],
      "keyword": [
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        "youth online",
        "survey",
        "sexual orientation",
        "sexual identity",
        "sexual contacts",
        "risk behavior",
        "high school"
      ],
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          "@type": "Location",
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        }
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        "accessURL": "https://www.cdc.gov/healthyyouth/about/index.htm",
        "title": "Division of Adolescent School Health (DASH)"
      },
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          "name": "Centers for Disease Control and Prevention (CDC)"
        }
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      ],
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      "status": "active",
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        "title": "DASH Public Inquiries"
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          "accessURL": "https://data.cdc.gov/d/q6p7-56au",
          "downloadURL": "https://data.cdc.gov/Youth-Risk-Behaviors-and-Health-Education/DASH-Youth-Risk-Behavior-Surveillance-System-YRBSS/q6p7-56au/data_preview",
          "format": "CSV",
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          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2019-03-29",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/q6p7-56au",
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    },
    {
      "@type": "Dataset",
      "identifier": "q8ig-wwk9",
      "title": "PLACES: Local Data for Better Health, Place Data 2021 release",
      "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities Project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at  www.cdc.gov/places.",
      "contactPoint": [
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      },
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      "modified": "2022-10-04",
      "issued": "2022-10-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
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        "places",
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          "prefLabel": "United States"
        }
      ],
      "landingPage": {
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        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
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          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
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        "name": "Centers for Disease Control and Prevention (CDC)"
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      "status": "active",
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        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
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      "distribution": [
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      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Place Data Series, 2020-2025",
          "description": "This dataset contains model-based place (incorporated and census-designated places) estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
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      "identifier": "q8xq-ygsk",
      "title": "PLACES: Local Data for Better Health, Place Data 2020 release",
      "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates  include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
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      "modified": "2021-10-07",
      "issued": "2021-09-29",
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      ],
      "creator": {
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          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, Place Data 2020 release",
          "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates  include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/q8xq-ygsk",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-Place-Data-202/q8xq-ygsk/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2021-10-07",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/q8xq-ygsk",
            "title": "PLACES: Local Data for Better Health, Place Data 2020 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Place Data Series, 2020-2025",
          "description": "This dataset contains model-based place (incorporated and census-designated places) estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 OR Individual Dental",
      "identifier": "q9sg-4maa",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T17:28:57Z",
      "modified": "2015-11-24T01:36:58Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2016_OR-Dent-Indi-Land-11-19-2015.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Inpatient Psychiatric Facility Quality Measure Data - by Facility",
        "accessURL": "https://data.cms.gov/provider-data/dataset/q9vs-r7wp"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-07-16",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Inpatient Psychiatric Facility Quality Reporting",
        "Psychiatric"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "q9vs-r7wp",
      "description": "This dataset includes provider-level data for quality measures included under the IPFQR program, including HBIPS, SUB, TOB, Transition Record (TR), Screening for Metabolic Disorders (SMD), FAPH, IMM, Readmissions (READM), and Medication Continuation (MedCont, formerly known as MedCoPsy). Psychiatric facilities that are eligible for the Inpatient Psychiatric Facility Quality Reporting (IPFQR) program are required to meet all program requirements, otherwise their Medicare payments may be reduced. ",
      "title": "Inpatient Psychiatric Facility Quality Measure Data - by Facility",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/e56cdbea2d002358610ebdb957cb35de_1785189962/IPFQR_QualityMeasures_Facility.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Patient Survey (PCH - HCAHPS) PPS-Exempt Cancer Hospital - State",
        "accessURL": "https://data.cms.gov/provider-data/dataset/qatj-nmws"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "CAHPS",
        "Patient Survey",
        "Patient Experience of Care",
        "Survey",
        "State",
        "Cancer",
        "PPS-Exempt Cancer Hospital Quality Reporting"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "qatj-nmws",
      "description": "A list of the state averages for the HCAHPS survey responses. HCAHPS is a national, standardized survey of hospital patients about their experiences during a recent inpatient hospital stay.",
      "title": "Patient Survey (PCH - HCAHPS) PPS-Exempt Cancer Hospital - State",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/f1d65b1e3b562b932fd3827c7783ea35_1785189959/PCH_HCAHPS_STATE.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "qcai-zfj9",
      "title": "NOHSS Child Indicators",
      "description": "Data for School year-end 1994 through year-end 2020.  State oral health surveys are the data sources for these indicators. States periodically conduct independent screening surveys of a probability sample designed to be representative of all third-grade students in the state. Some states also conduct surveys of students in other grades in school, or of Head Start program enrollees. This surveillance activity is voluntary. States submit their data to the Association of State and Territorial Dental Directors (ASTDD), where the survey design and data collected are reviewed for quality and against the criteria for inclusion in NOHSS, before being sent to CDC for inclusion in Oral Health Data. For more information, see: https://www.cdc.gov/oralhealthdata/overview/childIndicators/",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:oralhealth@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Oral Health (DOH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-09-26",
      "issued": "2015-04-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Oral Health"
        }
      ],
      "keyword": [
        "dental sealants",
        "children",
        "child",
        "untreated tooth decay",
        "tooth decay",
        "prevalence",
        "oral health",
        "nohss",
        "division of oral health",
        "caries experience",
        "caries",
        "bss",
        "basic screening survey",
        "astdd"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/oralhealth/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Oral Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/oralhealth/",
        "title": "Oral Health Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "NOHSS Child Indicators",
          "description": "Data for School year-end 1994 through year-end 2020.  State oral health surveys are the data sources for these indicators. States periodically conduct independent screening surveys of a probability sample designed to be representative of all third-grade students in the state. Some states also conduct surveys of students in other grades in school, or of Head Start program enrollees. This surveillance activity is voluntary. States submit their data to the Association of State and Territorial Dental Directors (ASTDD), where the survey design and data collected are reviewed for quality and against the criteria for inclusion in NOHSS, before being sent to CDC for inclusion in Oral Health Data. For more information, see: http://www.cdc.gov/oralhealthdata/overview/childIndicators/",
          "accessURL": "https://data.cdc.gov/d/qcai-zfj9",
          "downloadURL": "https://data.cdc.gov/Oral-Health/NOHSS-Child-Indicators/qcai-zfj9/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-09-26",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/qcai-zfj9",
            "title": "NOHSS Child Indicators"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "qeru-k2y2",
      "title": "VEHSS Modeled Estimates",
      "description": "VEHSS Composite Prevalence Estimates\n2017, 2019, 2021, 2022. This dataset contains estimates of the prevalence of visual acuity loss and major eye diseases generated using a Bayesian meta-analytic modeling approach that combines information from multiple data sources to produce comprehensive estimates of prevalence by age, race, and sex at the national, state and county levels. These composite prevalence estimates are the primary surveillance measures developed by the Centers for Disease Control and Preventionâ€™s Vision & Eye Health Surveillance System (VEHSS).  \n\nFor more information about these estimates including summary tables and maps, methods, and links to related publications visit https://www.cdc.gov/visionhealth/vehss/estimates/index.html\nTo view this data in the VEHSS interactive data visualization application, visit https://ddt-vehss.cdc.gov/ and search for â€œVEHSS Composite Prevalence Estimateâ€.\n\n\nVisual Acuity Loss:\nVisual acuity loss prevalence estimates represent best-corrected visual acuity in the better-seeing eye and are included in rows where Category=â€™Measured Visual Acuityâ€™.  Rows with Subgroup = â€˜Any vision loss' represents any impairment or blindness of 20/40 or worse; rows with Subgroup = 'US-defined blindness' refers to the subset of vision loss that is 20/200 or worse.\n\n\nAge Related Macular Degeneration:\nThe age-related macular degeneration (AMD) estimates represent AMD as measured with retinal imaging examination, and are included in rows where Category = â€˜Age Related Macular Degenerationâ€™.  The Subgroup â€˜Vision threatening AMDâ€™ includes patients with geographic atrophy, wet-form AMD, or choroidal neovascularization in either eye. The Subgroup â€˜Non-vision threatening AMDâ€™ includes patients with early or intermediate dry-form AMD defined as retinal pigment epithelium abnormalities or drusen â‰¥125 Âµm in the worse-affected eye, and do not have vision threatening AMD.\n\n\nDiabetic Retinopathy:\nThe diabetic retinopathy (DR) estimates represent DR as measured with retinal imaging examination, and are included in rows where Category=â€™Diabetic Eye Diseasesâ€™.  The Subgroup â€˜Vision threatening DRâ€™ includes patients with severe non-proliferative DR, proliferative DR, and diabetic macular edema. The Subgroup â€˜Non-vision threatening DRâ€™ is defined as patients with mild-moderate non-proliferative DR or unspecified DR, and do not have vision threatening DR.\n\n\nGlaucoma:\nThe glaucoma estimates represent glaucoma as measured with retinal imaging examination and are included in rows where Category=â€™Glaucomaâ€™. The Subgroup â€˜Vision affecting glaucomaâ€™ includes people with glaucoma and abnormal visual field. The Subgroup â€˜Non-vision affecting glaucomaâ€™ is defined as people with glaucoma without an abnormal visual field.\n\n\nAge Groups:\nThe VEHSS Composite Prevalence Estimates are available by major age groups (All ages, ages 0-17, 18-39, 40-64, 65-84, 85+) and detailed (5-year) age groups, which are indicated by the text â€œby detailed age groupsâ€ in the â€˜Indicatorâ€™ field. \n\n\nPrevalence Data Type:\nThese estimates are also available as crude (Data_Value_Type = â€˜Crude Prevalenceâ€™) or adjusted data (Data_Value_Type=â€™Adjusted Prevalence).  Crude Prevalence is the estimate of the actual number and percentage of people living with each condition.  Adjusted Prevalence estimates are adjusted to match the national population by age, race/ethnicity, and sex.  Adjusted prevalence estimates can be used to help identify disparities in prevalence between geographic areas that are not explained by differences in demographic characteristics.\n\n  \nData Sources:\nData sources for VEHSS Composite Prevalence Estimates include the National Health and Nutrition Examination Survey (NHANES), the American Community Survey (ACS), the National Survey of Childrenâ€™s Health (NSCH), the Behavioral Risk Factor Surveillance System (BRFSS), Medicare Fee-For-Service claims, the Transformed Medicaid Statistical Information System, MarketScan commercial insurance claim",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vision and Eye Health Surveillance System",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Diabetes Translation (DDT)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-03-13",
      "issued": "2021-03-25",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vision & Eye Health"
        }
      ],
      "keyword": [
        "blindness",
        "blind",
        "visual",
        "vision",
        "prevalence"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "CDC Info"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "VEHSS Modeled Estimates",
          "description": "VEHSS Composite Prevalence Estimates\n2017, 2019, 2021, 2022. This dataset contains estimates of the prevalence of visual acuity loss and major eye diseases generated using a Bayesian meta-analytic modeling approach that combines information from multiple data sources to produce comprehensive estimates of prevalence by age, race, and sex at the national, state and county levels. These composite prevalence estimates are the primary surveillance measures developed by the Centers for Disease Control and Prevention's Vision & Eye Health Surveillance System (VEHSS).  \n\nFor more information about these estimates including summary tables and maps, methods, and links to related publications visit https://www.cdc.gov/visionhealth/vehss/estimates/index.html\nTo view this data in the VEHSS interactive data visualization application, visit https://ddt-vehss.cdc.gov/ and search for â€œVEHSS Composite Prevalence Estimateâ€.\n\n\nVisual Acuity Loss:\nVisual acuity loss prevalence estimates represent best-corrected visual acuity in the better-seeing eye and are included in rows where Category='Measured Visual Acuity'.  Rows with Subgroup = â€˜Any vision loss' represents any impairment or blindness of 20/40 or worse; rows with Subgroup = 'US-defined blindness' refers to the subset of vision loss that is 20/200 or worse.\n\n\nAge Related Macular Degeneration:\nThe age-related macular degeneration (AMD) estimates represent AMD as measured with retinal imaging examination, and are included in rows where Category = â€˜Age Related Macular Degeneration'.  The Subgroup â€˜Vision threatening AMD' includes patients with geographic atrophy, wet-form AMD, or choroidal neovascularization in either eye. The Subgroup â€˜Non-vision threatening AMD' includes patients with early or intermediate dry-form AMD defined as retinal pigment epithelium abnormalities or drusen â‰¥125 Âµm in the worse-affected eye, and do not have vision threatening AMD.\n\n\nDiabetic Retinopathy:\nThe diabetic retinopathy (DR) estimates represent DR as measured with retinal imaging examination, and are included in rows where Category='Diabetic Eye Diseases'.  The Subgroup â€˜Vision threatening DR' includes patients with severe non-proliferative DR, proliferative DR, and diabetic macular edema. The Subgroup â€˜Non-vision threatening DR' is defined as patients with mild-moderate non-proliferative DR or unspecified DR, and do not have vision threatening DR.\n\n\nGlaucoma:\nThe glaucoma estimates represent glaucoma as measured with retinal imaging examination and are included in rows where Category='Glaucoma'. The Subgroup â€˜Vision affecting glaucoma' includes people with glaucoma and abnormal visual field. The Subgroup â€˜Non-vision affecting glaucoma' is defined as people with glaucoma without an abnormal visual field.\n\n\nAge Groups:\nThe VEHSS Composite Prevalence Estimates are available by major age groups (All ages, ages 0-17, 18-39, 40-64, 65-84, 85+) and detailed (5-year) age groups, which are indicated by the text â€œby detailed age groupsâ€ in the â€˜Indicator' field. \n\n\nPrevalence Data Type:\nThese estimates are also available as crude (Data_Value_Type = â€˜Crude Prevalence') or adjusted data (Data_Value_Type='Adjusted Prevalence).  Crude Prevalence is the estimate of the actual number and percentage of people living with each condition.  Adjusted Prevalence estimates are adjusted to match the national population by age, race/ethnicity, and sex.  Adjusted prevalence estimates can be used to help identify disparities in prevalence between geographic areas that are not explained by differences in demographic characteristics.\n\n  \nData Sources:\nData sources for VEHSS Composite Prevalence Estimates include the National Health and Nutrition Examination Survey (NHANES), the American Community Survey (ACS), the National Survey of Children's Health (NSCH), the Behavioral Risk Factor Surveillance System (BRFSS), Medicare Fee-For-Service claims, the Transformed Medicaid Statistical Information System, MarketScan commercial insurance claim",
          "accessURL": "https://data.cdc.gov/d/qeru-k2y2",
          "downloadURL": "https://data.cdc.gov/Vision-Eye-Health/VEHSS-Modeled-Estimates/qeru-k2y2/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-03-13",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/qeru-k2y2",
            "title": "VEHSS Modeled Estimates"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2016 HI Individual Medical",
      "identifier": "qgfv-ku86",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T16:23:26Z",
      "modified": "2015-11-24T01:46:31Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_HI-Med-Indi-Land-11-09-2015.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Palliative Care - PPS-Exempt Cancer Hospital - National",
        "accessURL": "https://data.cms.gov/provider-data/dataset/qigt-w5cx"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2024-07-31",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Cancer",
        "Chemotherapy",
        "Hospice",
        "Intensive Care Unit"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "qigt-w5cx",
      "description": "Palliative care is specialized medical care that focuses on providing relief from pain and other symptoms of a serious illness. These measures are first steps that seek to broadly assess what is happening in PCHs at the end-of-life and will provide a baseline picture of existing end-of-life care at these hospitals.",
      "title": "Palliative Care - PPS-Exempt Cancer Hospital - National",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/b19666c7d9f040b0fffd9c7135a7d92d_1785189973/PCH_Palliative_Care_NATIONAL.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "ESRD QIP - In-Center Hemodialysis Consumer Assessment Of Healthcare Providers And Services Systems (ICH CAHPS) Survey - Payment Year 2026",
        "accessURL": "https://data.cms.gov/provider-data/dataset/qip_ich_cahps"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2021-01-20",
      "@type": "Dataset",
      "modified": "2025-12-15",
      "released": "2026-01-21",
      "keyword": [
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "ESRD QIP Helpdesk",
        "hasEmail": "mailto:ESRDQIP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "qip_ich_cahps",
      "description": "This dataset includes facility details, performance rate, measure score, and the state and national average scores for each of the ICH CAHPS survey metrics that are included in the composite measure, as well as the measure score and the state and national average scores for the overall ICH CAHPS measure included in the PY 2026 ESRD QIP.",
      "title": "ESRD QIP - In-Center Hemodialysis Consumer Assessment Of Healthcare Providers And Services Systems (ICH CAHPS) Survey - Payment Year 2026",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/53468cee50245fe7f4a9523d5fe3a118_1767139554/QIP_ICH_CAHPS.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2014 NM Individual Dental",
      "identifier": "qjjv-y5nm",
      "description": "QHP Landscape NM Individual Market Dental - New Mexico  For instructions on how to read and use this data, please view the documentation available under the ‘About’ tab on this page.",
      "accessLevel": "public",
      "issued": "2013-12-02T12:30:37Z",
      "modified": "2014-08-20T21:48:13Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/qhp-landscape-nm-individual-market-dental.qjjv-y5nm.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e9f5c38c-56fc-4eb9-bf65-852e1e359940",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "qktg-6dmb",
      "title": "National Health and Aging Trends Study (NHATS)  –  Vision and Eye Health Surveillance System (VEHSS)",
      "description": "VEHSS analyzed NHATS public use data to calculate the prevalence of visual acuity and contrast sensitivity loss. Data are based on NHATS round 12, which was collected in 2022. We defined subgroup thresholds based on the VEHSS case definitions for Vision Loss and Blindness.\n\nNHATS is a health examination survey conducted on a nationally representative sample of Medicare beneficiaries aged 65 years and older. Surveys are conducted each year through in-person interviews. Vision-related tests of distance acuity, near-distance acuity, and contrast sensitivity are conducted with the aid of a computer tablet. Because participants wear their usual eyewear for vision assessments, acuity estimates are based on presenting acuity. \n\nThese data are also available in the VEHSS Data Explorer, and interactive data visualization tool reporting prevalence information from more than 10 data sources: https://www.cdc.gov/vision-health-data/index.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vision and Eye Health Surveillance System",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Diabetes Translation (DDT)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-03-12",
      "issued": "2024-10-28",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vision & Eye Health"
        }
      ],
      "keyword": [
        "vision",
        "visual acuity",
        "aging",
        "blind",
        "medicare"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "Centers for Disease Control and Prevention and Department of Defense Health Agencyâ€™s (DHA) Vision Center of Excellence (VCE)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "CDC Info"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Health and Aging Trends Study (NHATS) – Vision and Eye Health Surveillance System (VEHSS)",
          "description": "VEHSS analyzed NHATS public use data to calculate the prevalence of visual acuity and contrast sensitivity loss. Data are based on NHATS round 12, which was collected in 2022. We defined subgroup thresholds based on the VEHSS case definitions for Vision Loss and Blindness.\n\nNHATS is a health examination survey conducted on a nationally representative sample of Medicare beneficiaries aged 65 years and older. Surveys are conducted each year through in-person interviews. Vision-related tests of distance acuity, near-distance acuity, and contrast sensitivity are conducted with the aid of a computer tablet. Because participants wear their usual eyewear for vision assessments, acuity estimates are based on presenting acuity. \n\nThese data are also available in the VEHSS Data Explorer, and interactive data visualization tool reporting prevalence information from more than 10 data sources: https://www.cdc.gov/vision-health-data/index.html",
          "accessURL": "https://data.cdc.gov/d/qktg-6dmb",
          "downloadURL": "https://data.cdc.gov/Vision-Eye-Health/National-Health-and-Aging-Trends-Study-NHATS-Visio/qktg-6dmb/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-03-12",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/qktg-6dmb",
            "title": "National Health and Aging Trends Study (NHATS) – Vision and Eye Health Surveillance System (VEHSS)"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Nursing Home Data Collection Intervals",
        "accessURL": "https://data.cms.gov/provider-data/dataset/qmdc-9999"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-10-01",
      "@type": "Dataset",
      "modified": "2026-08-01",
      "released": "2026-08-26",
      "nextUpdateDate": "2026-09-30",
      "keyword": [
        "Quality",
        "Measures",
        "Staffing",
        "Data Collection Period",
        "Time Periods"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:BetterCare@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "qmdc-9999",
      "description": "This table lists the data collection periods for the quality measures displayed for Nursing Homes including Rehab Services as well as the intervals for complaint citations and citations on focused infection control inspections. It also includes the data collection period for the nursing home staffing measures. The data collection periods for some short-stay measures differ slightly from the measure periods in the MDS Quality Measure file due to the look-back periods for these measures.",
      "title": "Nursing Home Data Collection Intervals",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/0ac4d8d665411a251c4d3c4156d0dfd1_1786724152/NH_DataCollectionIntervals_Aug2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/nursing_home/NH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Nursing homes including rehab services"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Strategic Health IT Advanced Research Projects (SHARP) Output Inventory",
      "description": "ONC established the SHARP program to support innovative research and to address well-documented problems that impede the adoption and use of health IT. The program covers four subject areas managed by four distinct project groups: health IT security (SHARPS), patient-centered cognitive support (SHARPc), health care application and network design (SMART), and secondary use of EHR information (SHARPn). This dataset provides the full inventory of project outputs from the SHARP program, ranging from presentations and manuscripts to APIs and software.",
      "identifier": "qn0t3pcy-5dzz-6msx-hscw-qu1jb9837oaj",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Strategic Health IT Advanced Research Projects (SHARP) Output Inventory landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/strategic-health-it-advanced-research-projects-sharp-output-inventory"
      },
      "modified": "2014-09-30",
      "keyword": [
        "health IT",
        "SHARP",
        "strategic health IT advanced research projects",
        "inventory",
        "EHR",
        "health IT vendors",
        "health IT developers",
        "personal health information"
      ],
      "relation": [
        "https://www.healthit.gov/data/quickstats/strategic-health-it-advanced-research-projects-sharp-program"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "qnzd-25i4",
      "title": "PLACES: Local Data for Better Health, ZCTA Data, 2025 release",
      "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at   www.cdc.gov/places.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-12-12",
      "issued": "2020-10-19",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "zcta",
        "behaviors",
        "brfss",
        "disability",
        "health",
        "zip code",
        "status",
        "social needs",
        "risk",
        "prevention",
        "prevalence",
        "places",
        "outcomes"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, ZCTA Data, 2025 release",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at   www.cdc.gov/places.",
          "accessURL": "https://data.cdc.gov/d/qnzd-25i4",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-ZCTA-Data-2025/qnzd-25i4/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-12",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/qnzd-25i4",
            "title": "PLACES: Local Data for Better Health, ZCTA Data, 2025 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: ZCTA Dataset Series  2020-2025",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES from 2020-2025."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Palliative Care - PPS-Exempt Cancer Hospital - Hospital",
        "accessURL": "https://data.cms.gov/provider-data/dataset/qoeg-w7ck"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2024-07-31",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Cancer",
        "Chemotherapy",
        "Hospice",
        "Intensive Care Unit"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "qoeg-w7ck",
      "description": "Palliative care is specialized medical care that focuses on providing relief from pain and other symptoms of a serious illness. These measures are first steps that seek to broadly assess what is happening in PCHs at the end-of-life and will provide a baseline picture of existing end-of-life care at these hospitals.",
      "title": "Palliative Care - PPS-Exempt Cancer Hospital - Hospital",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/2d420234bc6bcc963c6c374d91b0ed90_1785189973/PCH_Palliative_Care_HOSPITAL.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Benefits and Cost Sharing PUF - PY2019",
      "identifier": "qpmu-mh2y",
      "description": "The Benefits and Cost Sharing PUF (BenCS-PUF) is one of the files that make up the Marketplace PUF. The BenCS-PUF contains plan-level data on essential health benefits, coverage limits, and cost sharing for each QHP and SADP. These data either originate from the Plans &amp; Benefits template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2018-10-25T12:21:45Z",
      "modified": "2019-10-21T21:20:47Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Jennings",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/benefits-cost-sharing-puf-2019.qpmu-mh2y.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/185f6fff-e7c4-443b-bdaf-285a8d308af8",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Complications and Deaths - National",
        "accessURL": "https://data.cms.gov/provider-data/dataset/qqw3-t4ie"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Complications",
        "Death",
        "Mortality",
        "Hip Knee",
        "PSI",
        "National"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "qqw3-t4ie",
      "description": "Complications and deaths - national data. This data set includes national-level data for the hip/knee complication measure, the CMS Patient Safety Indicators, and 30-day death rates.",
      "title": "Complications and Deaths - National",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/aba37eca11edcd4272afff9e6dc78bda_1785189947/Complications_and_Deaths-National.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2018 Individual Medical",
      "identifier": "qujg-gtme",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2017-10-25T12:29:51Z",
      "modified": "2019-02-18T23:25:06Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "qhp"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/Medical_Individual_Landscape_Instructions_and_Notes_07_26_2018.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2015 Qualifying Health Plan Selections by Age Group and County, as of February 22, 2015",
      "identifier": "qv54-6mtm",
      "description": "All figures are based on plan selections with coverage periods that include March 1, 2015",
      "accessLevel": "public",
      "issued": "2015-06-22T15:28:03Z",
      "modified": "2015-07-02T14:27:41Z",
      "license": "https://www.usa.gov/government-works",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "OEDA",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "age",
        "county",
        "qualifying health plan"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qualifying-health-plan-selections-by-age-group-and-county-as-of-february-22-2015.qv54-6mtm.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/782df756-5931-4d9e-b601-26c57176047d",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/government-works"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "qwpv-wpc8",
      "title": "CDC PRAMStat Data for 2009",
      "description": "2009. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "the Pregnancy Risk Assessment Monitoring System",
          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2015-03-16",
      "issued": "2015-03-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Maternal & Child Health"
        }
      ],
      "keyword": [
        "sleep behavior",
        "wic",
        "unintended pregnancy",
        "tobacco use",
        "stress",
        "smoke exposure",
        "reproductive health",
        "prenatal care",
        "pregnancy history",
        "preconception health",
        "obesity",
        "morbidity",
        "mental health",
        "medicaid",
        "infant health",
        "contraception",
        "breastfeeding",
        "alcohol use",
        "abuse"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/prams/index.htm",
        "title": "Centers for Disease Control and Prevention Division of Reproductive Health Pregnancy Risk Assessment Monitoring System (PRAMS)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/prams/index.htm",
        "title": "DRH Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC PRAMStat Data for 2009",
          "description": "2009. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
          "accessURL": "https://data.cdc.gov/d/qwpv-wpc8",
          "downloadURL": "https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2009/qwpv-wpc8/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2015-03-16",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/qwpv-wpc8",
            "title": "CDC PRAMStat Data for 2009"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "CDC PRAMStat Dataset Series",
          "description": "PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan Attributes PUF - PY2014",
      "identifier": "qxzi-ymfv",
      "description": "The Plan Attributes PUF (Plan-PUF) is one of the seven files that make up the Marketplace PUF. The Plan-PUF contains plan-level data on maximum out of pocket payments, deductibles, cost sharing, health savings account (HSA) eligibility, formulary ID, and other plan attributes. These data either originate from the Plans &amp; Benefits template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated). The issuer can also import data created in other templates (e.g., Network IDs from the Network ID template, Service Area IDs from the Service Area template, and Formulary IDs from the Prescription Drug template) to use as allowable values for the applicable fields in the Plans &amp; Benefits template, or enter these values manually.",
      "accessLevel": "public",
      "issued": "2014-12-22T22:48:31Z",
      "modified": "2017-12-11T22:46:56Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/plan-attributes-puf-2014.qxzi-ymfv.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/edbb5342-7e66-4f74-8c70-9b437624a9b2",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rate PUF - PY2015",
      "identifier": "r3nu-ebdw",
      "description": "The Rate PUF (Rate-PUF) is one of the seven files that make up the Marketplace PUF. The Rate-PUF contains plan-level data on individual rates based on an eligible subscriber’s age, tobacco use, and geographic location. These data either originate from the Rate Table template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2014-11-26T15:28:13Z",
      "modified": "2017-12-11T22:47:59Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/rate-puf-2015.r3nu-ebdw.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/a2d78a0d-1c75-451d-a8fd-772dedded5ae",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2018 Medical SHOP",
      "identifier": "r3qr-rwrn",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2017-10-25T12:30:40Z",
      "modified": "2019-02-18T23:26:54Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "qhp"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/Medical_SHOP_Landscape_Instructions_and_Notes_07_26_2018.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Health Deficiencies",
        "accessURL": "https://data.cms.gov/provider-data/dataset/r5ix-sfxw"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-06-01",
      "@type": "Dataset",
      "modified": "2026-08-01",
      "released": "2026-08-26",
      "nextUpdateDate": "2026-09-30",
      "keyword": [
        "Complaints",
        "Deficiencies",
        "Citations"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:BetterCare@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "r5ix-sfxw",
      "description": "A list of nursing home health citations in the last three years, including the nursing home that received the citation, the associated inspection date, citation tag number and description, scope and severity, the current status of the citation and the correction date. Data are presented as one citation per row.",
      "title": "Health Deficiencies",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/600f5d1861dd2e0280b2e961e8396245_1786724148/NH_HealthCitations_Aug2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/nursing_home/NH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Nursing homes including rehab services"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Service Area PUF - PY2014",
      "identifier": "r9nw-xrew",
      "description": "The Service Area PUF (SA-PUF) is one of the seven files that make up the Marketplace PUF. The SA-PUF contains issuer-level data on the geographic coverage or service area (i.e., where the plan is offered) including state, county, and zip code. These data either originate from the Service Area template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2014-12-23T01:37:40Z",
      "modified": "2017-12-11T22:46:45Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/service-area-puf-2014.r9nw-xrew.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e6d3b6f1-1860-48d6-9341-63e7c2e8fb44",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Benefits and Cost Sharing PUF - PY2014",
      "identifier": "rf29-2dgg",
      "description": "The Benefits and Cost Sharing PUF (BenCS-PUF) is one of the seven files that make up the Marketplace PUF. The BenCS-PUF contains plan-level data on essential health benefits, coverage limits, and cost sharing for each QHP and SADP. These data either originate from the Plans &amp; Benefits template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2014-12-22T20:03:48Z",
      "modified": "2017-12-11T22:47:19Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/benefits-and-cost-sharing-puf-2014.rf29-2dgg.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/5d4bf1e3-fe54-4e19-804b-910d5c79f99d",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 NM Individual Dental",
      "identifier": "rhcu-34h4",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2014-11-13T17:12:00Z",
      "modified": "2015-08-20T00:53:04Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_NM-Dent-Indi-Land-08-13-2015.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "rja3-32tc",
      "title": "500 Cities: Local Data for Better Health, 2018 release",
      "description": "This is the complete dataset for the 500 Cities project 2018 release. This dataset includes 2016, 2015 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2016, 2015), Census Bureau 2010 census population data, and American Community Survey (ACS) 2012-2016, 2011-2015 estimates. Because some questions are only asked every other year in the BRFSS, there are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) from the 2015 BRFSS that are the same in the 2018 release as the previous 2017 release. More information about the methodology can be found at www.cdc.gov/500cities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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          {
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2019-12-05",
      "issued": "2019-12-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "prevalence",
        "outcomes",
        "brfss",
        "behaviors",
        "500cities",
        "unhealthy",
        "tracts",
        "census",
        "prevention",
        "cities"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "500 Cities Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "500 Cities: Local Data for Better Health, 2018 release",
          "description": "This is the complete dataset for the 500 Cities project 2018 release. This dataset includes 2016, 2015 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2016, 2015), Census Bureau 2010 census population data, and American Community Survey (ACS) 2012-2016, 2011-2015 estimates. Because some questions are only asked every other year in the BRFSS, there are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) from the 2015 BRFSS that are the same in the 2018 release as the previous 2017 release. More information about the methodology can be found at www.cdc.gov/500cities.",
          "accessURL": "https://data.cdc.gov/d/rja3-32tc",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/500-Cities-Local-Data-for-Better-Health-2018-relea/rja3-32tc/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2019-12-05",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/rja3-32tc",
            "title": "500 Cities: Local Data for Better Health, 2018 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
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                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
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                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "500 Cities Complete Dataset Series, 2016-2019",
          "description": "This is the complete dataset for the 500 Cities project from 2016-2019. Dataset in this series includes model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "rnvb-cpxx",
      "title": "Adult Tobacco Consumption In The U.S., 2000-Present",
      "description": "2000 to Present. Adult Tobacco Consumption in the U.S. This dataset highlights critical trends in adult total and per capita consumption of both combustible (cigarettes, little cigars, small cigars, pipe tobacco, roll-your-own tobacco) tobacco products and smokeless (chewing tobacco and snuff) tobacco from 2000 to present. To view the CDC MMWR report, please visit https://www.cdc.gov/mmwr/volumes/65/wr/mm6548a1.htm.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Oral Health (DOH)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-04-30",
      "issued": "2017-04-06",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Policy"
        }
      ],
      "keyword": [
        "pipe tobacco",
        "smokeless",
        "tobacco consumption",
        "per capita",
        "cigar",
        "cigarette",
        "combustibles",
        "loose tobacco",
        "non-combustibles",
        "roll-your-own tobacco"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/statesystem/index.html",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
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        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
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        "accessURL": "https://www.cdc.gov/statesystem/index.html",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
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          "description": "2000 to Present. Adult Tobacco Consumption in the U.S. This dataset highlights critical trends in adult total and per capita consumption of both combustible (cigarettes, little cigars, small cigars, pipe tobacco, roll-your-own tobacco) tobacco products and smokeless (chewing tobacco and snuff) tobacco from 2000 to present. To view the CDC MMWR report, please visit https://www.cdc.gov/mmwr/volumes/65/wr/mm6548a1.htm.",
          "accessURL": "https://data.cdc.gov/d/rnvb-cpxx",
          "downloadURL": "https://data.cdc.gov/Policy/Adult-Tobacco-Consumption-In-The-U-S-2000-Present/rnvb-cpxx/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-04-30",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/rnvb-cpxx",
            "title": "Adult Tobacco Consumption In The U.S., 2000-Present"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Medicare Spending Per Beneficiary - Hospital",
        "accessURL": "https://data.cms.gov/provider-data/dataset/rrqw-56er"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Medicare Spending per Beneficiary"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "rrqw-56er",
      "description": "The Medicare Spending Per Beneficiary (MSPB) Measure shows whether Medicare spends more, less, or about the same for an episode of care (episode) at a specific hospital compared to all hospitals nationally. An MSPB episode includes Medicare Part A and Part B payments for services provided by hospitals and other healthcare providers the 3 days prior to, during, and 30 days following a patient's inpatient stay. This measure evaluates hospitals' costs compared to the costs of the national median (or midpoint) hospital. This measure takes into account important factors like patient age and health status (risk adjustment) and geographic payment differences (payment-standardization).",
      "title": "Medicare Spending Per Beneficiary - Hospital",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/69874ce604586980ac088283c1b35095_1785189964/Medicare_Hospital_Spending_Per_Patient-Hospital.csv",
          "mediaType": "text/csv",
          "describedBy": {
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            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Medicare Spending Per Beneficiary - State",
        "accessURL": "https://data.cms.gov/provider-data/dataset/rs6n-9qwg"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-05",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Medicare Spending per Beneficiary",
        "State"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "rs6n-9qwg",
      "description": "The Medicare Spending Per Beneficiary (MSPB) Measure shows whether Medicare spends more, less, or about the same for an episode of care (episode) at a specific hospital compared to all hospitals nationally. An MSPB episode includes Medicare Part A and Part B payments for services provided by hospitals and other healthcare providers the 3 days prior to, during, and 30 days following a patient's inpatient stay. This measure evaluates hospitals' costs compared to the costs of the national median (or midpoint) hospital. This measure takes into account important factors like patient age and health status (risk adjustment) and geographic payment differences (payment-standardization). The data displayed here are the average measures for each state.",
      "title": "Medicare Spending Per Beneficiary - State",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/b53c8e7d24557eb1e898557e4c7d7484_1785189965/Medicare_Hospital_Spending_Per_Patient-State.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Benefits and Cost Sharing PUF - PY2016",
      "identifier": "rtj8-qhma",
      "description": "The Benefits and Cost Sharing PUF (BenCS-PUF) is one of the seven files that make up the Marketplace PUF. The BenCS-PUF contains plan-level data on essential health benefits, coverage limits, and cost sharing for each QHP and SADP. These data either originate from the Plans &amp; Benefits template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2015-11-10T16:39:34Z",
      "modified": "2016-08-15T13:51:14Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Balaji",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/benefits-cost-sharing-puf-2016.rtj8-qhma.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/3878a462-7f3c-4e67-b33a-c5b9fb027f19",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Outpatient and Ambulatory Surgery Consumer Assessment of Healthcare Providers and Systems (OAS CAHPS) survey for hospital outpatient departments - National",
        "accessURL": "https://data.cms.gov/provider-data/dataset/s5pj-hua3"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-10-14",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Ambulatory Surgical Center",
        "Outpatient",
        "Survey",
        "CAHPS",
        "National",
        "Surgery",
        "Outpatient Surgery"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "s5pj-hua3",
      "description": "The file contains the national average for the OAS CAHPS survey responses. The OAS CAHPS survey collects information about patients' experiences of care in hospital outpatient departments (HOPDs) and ambulatory surgical centers (ASCs). The data are updated and reported each quarter with data from the most recently completed quarter replacing the oldest quarter of data.",
      "title": "Outpatient and Ambulatory Surgery Consumer Assessment of Healthcare Providers and Systems (OAS CAHPS) survey for hospital outpatient departments - National",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/fdc286f2f60134775fa4b7f7b249b075_1785189954/OQR_OAS_CAHPS_NATIONAL.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Inpatient Psychiatric Facility Quality Measure Data - National",
        "accessURL": "https://data.cms.gov/provider-data/dataset/s5xg-sys6"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-07-16",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Inpatient Psychiatric Facility Quality Reporting",
        "Psychiatric",
        "National"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "s5xg-sys6",
      "description": "This dataset includes national-level data for quality measures included under the IPFQR program, including HBIPS, SUB, TOB, Transition Record (TR), Screening for Metabolic Disorders (SMD), FAPH, IMM, Readmissions (READM), and Medication Continuation (MedCont, formerly known as MedCoPsy). Psychiatric facilities that are eligible for the Inpatient Psychiatric Facility Quality Reporting (IPFQR) program are required to meet all program requirements, otherwise their Medicare payments may be reduced. ",
      "title": "Inpatient Psychiatric Facility Quality Measure Data - National",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/463e16600bec8c0aeb75ebfaef253ab7_1785189962/IPFQR_QualityMeasures_National.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "s6p7-fvbw",
      "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County  –  2017-2019",
      "description": "2017 to 2019, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
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        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Census Tract Data (GIS Friendly Format), 2022 release",
          "description": "This dataset contains model-based census tract level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 29 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "accessURL": "https://data.cdc.gov/d/shc3-fzig",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Census-Tract-Data-GIS-Friendly-Format-2022-/shc3-fzig/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-06-15",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/shc3-fzig",
            "title": "PLACES: Census Tract Data (GIS Friendly Format), 2022 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Census Tract Data (GIS Friendly Format) Series 2020-2025",
          "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "ESRD QIP - Standardized Hospitalization Ratio - Payment Year 2026",
        "accessURL": "https://data.cms.gov/provider-data/dataset/shr"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2021-01-20",
      "@type": "Dataset",
      "modified": "2025-12-16",
      "released": "2026-01-21",
      "keyword": [
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "ESRD QIP Helpdesk",
        "hasEmail": "mailto:ESRDQIP@cms.hhs.gov"
      },
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        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "shr",
      "description": "This dataset includes facility details, performance rates, hospitalization measure score, and the state and national average measure scores for the SHR measure for the PY 2026 ESRD QIP. The measure is expressed as a rate.",
      "title": "ESRD QIP - Standardized Hospitalization Ratio - Payment Year 2026",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/db017ef4d74292f154f0b5dc7f77a296_1774661449/SHR.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Issuer and DE Partner Directory",
      "identifier": "skyj-46j6",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2019-10-09T15:50:06Z",
      "modified": "2019-11-22T23:36:57Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Hiko Naito - TylerTech/Socrata employee",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare",
        "utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/issuer-and-de-partner-directory.skyj-46j6.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/d265d180-ff85-4156-b88f-4320126dccd2",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2017 Medical SHOP",
      "identifier": "sm8s-t6mi",
      "description": "For instructions on how to read and use this data, visit https://data.healthcare.gov/download/pekv-h4eb/application%2Fpdf",
      "accessLevel": "public",
      "issued": "2016-11-07T16:51:46Z",
      "modified": "2017-05-24T17:59:16Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Eze Onuoha",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2017-qhp-landscape-shop-market-medical.sm8s-t6mi.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/a4f647ec-3e53-4ffa-b196-28cefdea5f88",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 NM Individual Medical",
      "identifier": "srdt-wkat",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2014-11-13T17:13:35Z",
      "modified": "2015-08-20T00:56:05Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_NM-Med-Indi-Land-08-13-2015.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "ESRD QIP - Standardized Readmission Ratio - Payment Year 2026",
        "accessURL": "https://data.cms.gov/provider-data/dataset/srr"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2021-01-20",
      "@type": "Dataset",
      "modified": "2026-03-03",
      "released": "2026-03-04",
      "keyword": [
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "ESRD QIP Helpdesk",
        "hasEmail": "mailto:ESRDQIP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "srr",
      "description": "This dataset includes facility details, performance ratio, measure score, and the state and national average measure scores for the SRR measure included in the PY 2026 ESRD QIP. The measure is expressed as a rate.",
      "title": "ESRD QIP - Standardized Readmission Ratio - Payment Year 2026",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/f92d42450424b3e3c940c13d1a2bedfa_1772568346/SRR.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan ID Crosswalk PUF - PY2015",
      "identifier": "srri-3w2q",
      "description": "The Plan ID Crosswalk PUF (CW-PUF) is one of the seven files that make up the Marketplace PUF. The purpose of the CW-PUF is to map QHPs and SADPs offered through the Marketplaces in 2014 to plans that will be offered through the Marketplaces in 2015. These data either originate from the Plan Crosswalk template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).This data dictionary describes the variables contained in the CW-PUF. Each record relates to a mapping between a plan offered in 2014 and a plan offered in 2015 at the county or county-zip code level.",
      "accessLevel": "public",
      "issued": "2014-11-26T18:13:37Z",
      "modified": "2017-12-11T22:46:58Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/plan-id-crosswalk-puf.srri-3w2q.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/7ffb5234-d3e0-4a2b-9ed2-d4e6aa991cc5",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2014 Medical SHOP",
      "identifier": "ss3e-3mza",
      "description": "QHP Landscape SHOP Market Medical - For instructions on how to read and use this data, please view the documentation available under the ‘About’ tab on this page.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2013-11-27T22:03:40Z",
      "modified": "2014-08-20T21:50:17Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/qhp-landscape-shop-market-medical.ss3e-3mza.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/f164e03e-f518-4890-95f8-8527d8cf08b8",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "references": [
        "https://data.healthcare.gov/sites/default/files/Medical-SHOP-Landscape-Inst-1.pdf",
        "https://data.healthcare.gov/sites/default/files/Medical-SHOP-Landscape-Inst.pdf"
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "ESRD QIP - Standardized Transfusion Ratio - Payment Year 2026",
        "accessURL": "https://data.cms.gov/provider-data/dataset/strr"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2021-01-20",
      "@type": "Dataset",
      "modified": "2025-12-15",
      "released": "2026-01-21",
      "keyword": [
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "ESRD QIP Helpdesk",
        "hasEmail": "mailto:ESRDQIP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "strr",
      "description": "This dataset includes facility details, performance rate, measure score, and the state and national average measure scores for the STrR measure included in the PY 2026 ESRD QIP.",
      "title": "ESRD QIP - Standardized Transfusion Ratio - Payment Year 2026",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/442cf9a8bb0fc76a18fbdaca4f9c80f8_1767139560/STRR.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Hospital Value-Based Purchasing (HVBP) - Efficiency Scores",
        "accessURL": "https://data.cms.gov/provider-data/dataset/su9h-3pvj"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-05",
      "@type": "Dataset",
      "modified": "2026-01-26",
      "released": "2026-08-13",
      "keyword": [
        "Value Based Purchasing",
        "Linking Quality to Payment",
        "Efficiency",
        "Medicare Spending per Beneficiary",
        "Performance"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "su9h-3pvj",
      "description": "A list of hospitals participating in the FY 2026 Hospital VBP Program and their performance ratios and scores for the Efficiency and Cost Reduction Medicare Spending per Beneficiary (MSPB) measure.",
      "title": "Hospital Value-Based Purchasing (HVBP) - Efficiency Scores",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/46325dbbe6d2f654ecbb5046059c664e_1770163621/hvbp_efficiency_and_cost_reduction.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "svam-8dhg",
      "title": "DASH - Youth Risk Behavior Surveillance System (YRBSS): High School - Excluding Sexual Identity",
      "description": "1991-2017. High School Dataset. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors \namong youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and \nother drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human \nimmunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors \nthe prevalence of obesity and asthma and other priority health behaviors.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Adolescent and School Health",
          "hasEmail": "mailto:nccddashinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Adolescent and School Health (DASH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2019-03-29",
      "issued": "2016-08-29",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Youth Risk Behaviors and Health Education"
        }
      ],
      "keyword": [
        "youth risk behavior surveillance system",
        "yrbss",
        "behaviors",
        "dash",
        "youth risk"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/healthyyouth/data/yrbs/index.htm",
        "title": "nccddashinfo@cdc.gov"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/healthyyouth/data/yrbs/index.htm",
        "title": "DASH Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "DASH - Youth Risk Behavior Surveillance System (YRBSS): High School - Excluding Sexual Identity",
          "description": "1991-2017. High School Dataset. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors \namong youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and \nother drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human \nimmunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors \nthe prevalence of obesity and asthma and other priority health behaviors.",
          "accessURL": "https://data.cdc.gov/d/svam-8dhg",
          "downloadURL": "https://data.cdc.gov/Youth-Risk-Behaviors-and-Health-Education/DASH-Youth-Risk-Behavior-Surveillance-System-YRBSS/svam-8dhg/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2019-03-29",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/svam-8dhg",
            "title": "DASH - Youth Risk Behavior Surveillance System (YRBSS): High School - Excluding Sexual Identity"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Inspection Dates",
        "accessURL": "https://data.cms.gov/provider-data/dataset/svdt-c123"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-06-01",
      "@type": "Dataset",
      "modified": "2026-08-01",
      "released": "2026-08-26",
      "nextUpdateDate": "2026-09-30",
      "keyword": [
        "Complaints",
        "Deficiencies",
        "Citations"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:BetterCare@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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        ]
      },
      "identifier": "svdt-c123",
      "description": "A list of nursing home inspection dates in the past three years, including health inspections, fire safety inspections, complaint inspections and infection control inspections",
      "title": "Inspection Dates",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/c695a10fcf74e3a839879a307008563e_1786724153/NH_SurveyDates_Aug2026.csv",
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            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/nursing_home/NH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Nursing homes including rehab services"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "swc5-untb",
      "title": "PLACES: Local Data for Better Health, County Data, 2025 release",
      "description": "This dataset contains model-based county estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2023 county population estimate data, and American Community Survey 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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          {
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          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-12-04",
      "issued": "2020-09-25",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
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        "places",
        "behaviors",
        "brfss",
        "county",
        "disability",
        "health",
        "outcomes",
        "prevalence",
        "prevention",
        "risk",
        "social needs",
        "status"
      ],
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        {
          "@type": "Location",
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        }
      ],
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      },
      "rightsHolder": [
        {
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          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
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      "status": "active",
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        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Local Data for Better Health, County Data, 2025 release",
          "description": "This dataset contains model-based county estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2023 county population estimate data, and American Community Survey 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
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          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-04",
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              "restrictionStatus": "unrestricted"
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          ],
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              "restrictionStatus": "unrestricted"
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          ],
          "accessService": [
            {
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              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
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              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: County Data Series, 2020-2025",
          "description": "This dataset series contains model-based county estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "2015 Qualifying Health Plan Selections by Household Income as a Percent of the Federal Poverty Level and County, as of February 22, 2015",
      "identifier": "sy6b-59wj",
      "description": "All figures are based on plan selections with coverage periods that include March 1, 2015",
      "accessLevel": "public",
      "issued": "2015-06-22T15:21:43Z",
      "modified": "2015-07-02T14:28:20Z",
      "license": "https://www.usa.gov/government-works",
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      "contactPoint": {
        "fn": "OEDA",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
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        "county",
        "federal poverty level",
        "fpl",
        "household income",
        "qualifying health plan"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qualifying-health-plan-selections-by-household-income-as-a-percent-of-the-federal-poverty-level-and-county-as-of-february-22-2015.sy6b-59wj.csv",
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      "bureauCode": [
        "009:38"
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      "programCode": [
        "009:000"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2015 Individual Dental",
      "identifier": "szvd-caa9",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-04-14T20:08:40Z",
      "modified": "2015-08-20T01:03:11Z",
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      "contactPoint": {
        "fn": "jrsmith",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
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      "keyword": [
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          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_Dent-Indi-Land-08-03-2015.pdf"
        }
      ],
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        "009:38"
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      "programCode": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": " QHP Landscape PY2019 Individual Dental",
      "identifier": "t29b-tixn",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2018-10-24T20:28:32Z",
      "modified": "2019-08-09T15:24:30Z",
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      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
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        "healthcare"
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      "distribution": [
        {
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          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "downloadURL": "https://data.healthcare.gov/datafile/Individual_Market_Dental_07_25_2019.xlsx"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2016 NM Individual Dental",
      "identifier": "t2q5-smmd",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T16:40:12Z",
      "modified": "2015-11-24T01:43:08Z",
      "publisher": {
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      "contactPoint": {
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        "hasEmail": "mailto:no-reply@data.healthcare.gov"
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      ],
      "bureauCode": [
        "009:38"
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      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2016 HI Individual Dental",
      "identifier": "t5rn-h86n",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T15:56:41Z",
      "modified": "2015-11-24T01:46:13Z",
      "publisher": {
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        "009:38"
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2017 Individual Medical",
      "identifier": "t99m-dgwg",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2016-11-07T17:12:09Z",
      "modified": "2017-08-23T19:35:15Z",
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      "contactPoint": {
        "fn": "Eze Onuoha",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
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        {
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          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2017_Medi-Indi-Land-08_11_2017.zip"
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      "programCode": [
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      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Citation Code Look-up",
        "accessURL": "https://data.cms.gov/provider-data/dataset/tagd-9999"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-09-01",
      "@type": "Dataset",
      "modified": "2026-08-01",
      "released": "2026-08-26",
      "nextUpdateDate": "2026-09-30",
      "keyword": [
        "Complaints",
        "Deficiencies",
        "Citations"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:BetterCare@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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        ]
      },
      "identifier": "tagd-9999",
      "description": "This is a look-up table for nursing home inspection citations, providing a text description for each citation or tag code.",
      "title": "Citation Code Look-up",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/6d684830d328710dabe0a20c096bcab7_1786724152/NH_CitationDescriptions_Aug2026.csv",
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          }
        }
      ],
      "theme": [
        "Nursing homes including rehab services"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Survey Summary",
        "accessURL": "https://data.cms.gov/provider-data/dataset/tbry-pc2d"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-06-01",
      "@type": "Dataset",
      "modified": "2026-08-01",
      "released": "2026-08-26",
      "nextUpdateDate": "2026-09-30",
      "keyword": [
        "Complaints",
        "Deficiencies",
        "Citations"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:BetterCare@cms.hhs.gov"
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        ]
      },
      "identifier": "tbry-pc2d",
      "description": "Nursing home summary information for nursing home health, fire safety, infection control, and complaint inspections in the last three years, including dates of the three most recent inspections (including those with no citations), and counts of citations, overall and within specified categories. Data are presented as one inspection per provider. Citation counts also include citations from infection control surveys and complaint inspections.",
      "title": "Survey Summary",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/072c3220af015d4b4fb4d471cf790c78_1786724152/NH_SurveySummary_Aug2026.csv",
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            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/nursing_home/NH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Nursing homes including rehab services"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "tdbk-8ubw",
      "title": "National Health and Nutrition Examination Survey (NHANES)  –  Vision and Eye Health Surveillance",
      "description": "1999-2008; 2005-2008. This dataset is a de-identified summary table of vision and eye health data indicators from NHANES, stratified by all available combinations of age group, race/ethnicity, sex, and risk factor. NHANES is a program of studies conducted by the National Center for Health Statistics at CDC designed to assess the health and nutritional status of adults and children in the U.S, and combines interviews and physical examinations. NHANES stopped collecting vision and eye health data in 2008. Approximate sample size is 5,000 persons per year. NHANES data for VEHSS includes questions and examinations related to Visual Function, Vision Exam Measures, Eye Health Conditions, Service Utilization, and Examination Measures. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Detailed information on VEHSS NHANES analyses can be found on the VEHSS NHANES webpage (https://www.cdc.gov/visionhealth/vehss/data/national-surveys/national-health-and-nutrition-examination-survey.html). Additional information about NHANES can be found on the NHANES website (https://www.cdc.gov/nchs/nhanes/index.htm). The VEHSS NHANES dataset was last updated in June 2018.",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "Vision and Eye Health Surveillance System",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Diabetes Translation (DDT)",
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                "name": "U.S. Department of Health and Human Services"
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            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-07-10",
      "issued": "2018-02-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vision & Eye Health"
        }
      ],
      "keyword": [
        "visual acuity",
        "visual function",
        "blind",
        "service utilization",
        "vision exam measures",
        "nhanes",
        "glaucoma",
        "diabetes",
        "cataract"
      ],
      "spatial": [
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          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "Centers for Disease Control and Prevention"
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          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
      "rights": [
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      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "DDT Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "National Health and Nutrition Examination Survey (NHANES) – Vision and Eye Health Surveillance",
          "description": "1999-2008; 2005-2008. This dataset is a de-identified summary table of vision and eye health data indicators from NHANES, stratified by all available combinations of age group, race/ethnicity, sex, and risk factor. NHANES is a program of studies conducted by the National Center for Health Statistics at CDC designed to assess the health and nutritional status of adults and children in the U.S, and combines interviews and physical examinations. NHANES stopped collecting vision and eye health data in 2008. Approximate sample size is 5,000 persons per year. NHANES data for VEHSS includes questions and examinations related to Visual Function, Vision Exam Measures, Eye Health Conditions, Service Utilization, and Examination Measures. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Detailed information on VEHSS NHANES analyses can be found on the VEHSS NHANES webpage (https://www.cdc.gov/visionhealth/vehss/data/national-surveys/national-health-and-nutrition-examination-survey.html). Additional information about NHANES can be found on the NHANES website (https://www.cdc.gov/nchs/nhanes/index.htm). The VEHSS NHANES dataset was last updated in June 2018.",
          "accessURL": "https://data.cdc.gov/d/tdbk-8ubw",
          "downloadURL": "https://data.cdc.gov/Vision-Eye-Health/National-Health-and-Nutrition-Examination-Survey-N/tdbk-8ubw/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-07-10",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/tdbk-8ubw",
            "title": "National Health and Nutrition Examination Survey (NHANES) – Vision and Eye Health Surveillance"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "Home Health QRP Help Desk",
        "hasEmail": "mailto:HomeHealthQualityQuestions@cms.hhs.gov"
      },
      "description": "State averages of several home health agency quality measures for Home Health Agencies.",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/0ae2a5713d1dff27403bc83f301a6eca_1782764087/HH_State_Jul2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/home_health/HHS_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "tee5-ixt5",
      "issued": "2026-05-27",
      "keyword": [
        "General Information",
        "Quality",
        "Ratings",
        "Comparison",
        "State",
        "Average",
        "Measures",
        "National",
        "Quality Reporting Program"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Home Health Care - State by State Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/tee5-ixt5"
      },
      "modified": "2026-05-27",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "released": "2026-07-15",
      "nextUpdateDate": "2026-10-21",
      "theme": [
        "Home health services"
      ],
      "title": "Home Health Care - State by State Data",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Outpatient and Ambulatory Surgery Consumer Assessment of Healthcare Providers and Systems (OAS CAHPS) survey for ambulatory surgical centers - National",
        "accessURL": "https://data.cms.gov/provider-data/dataset/tf3h-mrrs"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Ambulatory Surgical Center",
        "Outpatient",
        "Survey",
        "CAHPS",
        "National",
        "Surgery",
        "Outpatient Surgery"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "tf3h-mrrs",
      "description": "The file contains the national average for the OAS CAHPS survey responses. The OAS CAHPS survey collects information about patients' experiences of care in hospital outpatient departments (HOPDs) and ambulatory surgical centers (ASCs). The data are updated and reported each quarter with data from the most recently completed quarter replacing the oldest quarter of data.",
      "title": "Outpatient and Ambulatory Surgery Consumer Assessment of Healthcare Providers and Systems (OAS CAHPS) survey for ambulatory surgical centers - National",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/65a38069cc48376e9f519a3609424537_1785189945/ASCQR_OAS_CAHPS_NATIONAL.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 NM Individual Medical",
      "identifier": "tfna-vz76",
      "description": "For instructions on how to read and use this data, visit: https://data.healthcare.gov/download/3r89-dc9s/application/pdf",
      "accessLevel": "public",
      "issued": "2014-11-13T16:55:30Z",
      "modified": "2015-08-20T00:30:22Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qhp-landscape-nm-individual-market-medical.tfna-vz76.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/c727638c-f7b0-4f11-8a8b-2e0c4ab558bb",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Issuer Partner Directory - Reference Text",
      "identifier": "tfpe-r7fa",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2019-10-09T15:47:57Z",
      "modified": "2020-09-29T01:24:10Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Hiko Naito - TylerTech/Socrata employee",
        "hasEmail": "mailto:hiko.naito@tylertech.com"
      },
      "keyword": [
        "healthcare",
        "utility"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/issuer-partner-directory-reference-text.tfpe-r7fa.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/454ca775-f5b0-4e52-b61a-2a30c2daa2ab",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "thir-stei",
      "title": "American Community Survey (ACS)  –  Vision and Eye Health Surveillance",
      "description": "2014 - 2022 (excluding 2020). This dataset is a de-identified summary table of vision and eye health data indicators from ACS, stratified by all available combinations of age group, race/ethnicity, sex, and state. ACS is an annual nationwide survey conducted by the U.S. Census Bureau that collects information on demographic, social, economic, and housing characteristics of the U.S. population. Approximate sample size is 3 million annually. ACS data for VEHSS includes one question related to Visual Function. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Data will be updated as it becomes available. Detailed information on VEHSS ACS analyses can be found on the VEHSS ACS webpage (link). Additional information about ACS can be found on the U.S. Census Bureau website (https://www.census.gov/content/dam/Census/programs-surveys/acs/about/ACS_Information_Guide.pdf). The VEHSS ACS dataset was last updated April 2024",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Vision and Eye Health Surveillance System",
          "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Diabetes Translation (DDT)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-03-07",
      "issued": "2018-02-13",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Vision & Eye Health"
        }
      ],
      "keyword": [
        "glasses",
        "acs",
        "contact lenses",
        "visual function"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "Centers for Disease Control and Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/visionhealth/visionhealthdata/index.html",
        "title": "DDT Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "American Community Survey (ACS) – Vision and Eye Health Surveillance",
          "description": "2014 - 2022 (excluding 2020). This dataset is a de-identified summary table of vision and eye health data indicators from ACS, stratified by all available combinations of age group, race/ethnicity, sex, and state. ACS is an annual nationwide survey conducted by the U.S. Census Bureau that collects information on demographic, social, economic, and housing characteristics of the U.S. population. Approximate sample size is 3 million annually. ACS data for VEHSS includes one question related to Visual Function. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Data will be updated as it becomes available. Detailed information on VEHSS ACS analyses can be found on the VEHSS ACS webpage (link). Additional information about ACS can be found on the U.S. Census Bureau website (https://www.census.gov/content/dam/Census/programs-surveys/acs/about/ACS_Information_Guide.pdf). The VEHSS ACS dataset was last updated April 2024",
          "accessURL": "https://data.cdc.gov/d/thir-stei",
          "downloadURL": "https://data.cdc.gov/Vision-Eye-Health/American-Community-Survey-ACS-Vision-and-Eye-Healt/thir-stei/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-03-07",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/thir-stei",
            "title": "American Community Survey (ACS) – Vision and Eye Health Surveillance"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "ESRD QIP - Total Performance Scores - Payment Year 2026",
        "accessURL": "https://data.cms.gov/provider-data/dataset/tps"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2021-01-20",
      "@type": "Dataset",
      "modified": "2025-12-15",
      "released": "2026-01-21",
      "keyword": [
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "ESRD QIP Helpdesk",
        "hasEmail": "mailto:ESRDQIP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "tps",
      "description": "This dataset includes facility details, total performance score, and payment reduction percentage for each facility as well as the state and national average total performance scores for the PY 2026 ESRD QIP.",
      "title": "ESRD QIP - Total Performance Scores - Payment Year 2026",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/8d4f21bb6cf7affe367ae5b267425658_1767139562/TPS.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Comprehensive Care For Joint Replacement Model - Provider Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/tqkv-mgxq"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-01-26",
      "released": "2026-08-13",
      "keyword": [
        "Comprehensive Care for Joint Replacement Model",
        "Hip Knee",
        "CAHPS"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "tqkv-mgxq",
      "description": "Comprehensive Care for Joint Replacement Model - provider data. This data set includes provider data for two quality measures tracked during an episode of care: complication rate for hip/knee replacement patients and the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) Survey.",
      "title": "Comprehensive Care For Joint Replacement Model - Provider Data",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/c1017e56164f4774560619c9020116fa_1770163562/CJR_Quality_Reporting_January_2026_Production_File.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "tqwu-4a7k",
      "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County  –  2016-2018",
      "description": "2016 to 2018, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Heart Disease and Stroke Surveillance",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division for Heart Disease and Stroke Prevention (DHDSP)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-02-11",
      "issued": "2020-04-28",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Heart Disease & Stroke Prevention"
        }
      ],
      "keyword": [
        "cardiovascular disease",
        "counties",
        "stroke",
        "cardiovascular",
        "cerebrovascular disease",
        "county"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
        "title": "CDC Division for Heart Disease and Stroke Prevention, Interactive Atlas of Heart Disease and Stroke"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
        "title": "DHDSP Requests"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2016-2018",
          "description": "2016 to 2018, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
          "accessURL": "https://data.cdc.gov/d/tqwu-4a7k",
          "downloadURL": "https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/tqwu-4a7k/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-02-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/tqwu-4a7k",
            "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2016-2018"
          },
          "accessRestriction": [
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              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
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              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
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          "accessURL": "https://data.cdc.gov/d/ua33-yiiu",
          "downloadURL": "https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/ua33-yiiu/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-02-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/ua33-yiiu",
            "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2017-2019"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County Series",
          "description": "3-year average (2014-2021). Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 OR Individual Medical",
      "identifier": "uact-q2pb",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T17:27:07Z",
      "modified": "2015-11-24T01:37:28Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2016_OR-Med-Indi-Land-11-19-2015.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "uc9k-vc2j",
      "title": "Rates and Trends in Hypertension-related Cardiovascular Disease Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex  –  2000-2019",
      "description": "This dataset documents rates and trends in local hypertension-related cardiovascular disease (CVD) death rates. Specifically, this report presents county (or county equivalent) estimates of hypertension-related CVD death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35 – 64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indialaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (female, male). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Heart Disease and Stroke Surveillance",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division for Heart Disease and Stroke Prevention (DHDSP)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2022-02-08",
      "issued": "2022-02-08",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Heart Disease & Stroke Prevention"
        }
      ],
      "keyword": [
        "heart disease",
        "cardiovascular",
        "cardiovascular disease",
        "counties",
        "county",
        "heart"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "http://www.cdc.gov/dhdsp",
        "title": "Centers for Disease Control and Prevention, Division for Heart Disease and Stroke Prevention"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "http://www.cdc.gov/dhdsp",
        "title": "DHDSP Requests"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Rates and Trends in Hypertension-related Cardiovascular Disease Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019",
          "description": "This dataset documents rates and trends in local hypertension-related cardiovascular disease (CVD) death rates. Specifically, this report presents county (or county equivalent) estimates of hypertension-related CVD death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35 – 64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indian/Alaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (female, male). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.",
          "accessURL": "https://data.cdc.gov/d/uc9k-vc2j",
          "downloadURL": "https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Rates-and-Trends-in-Hypertension-related-Cardiovas/uc9k-vc2j/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2022-02-08",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/uc9k-vc2j",
            "title": "Rates and Trends in Hypertension-related Cardiovascular Disease Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
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              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
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              "contactPoint": [
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                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Certified Health IT Product List (CHPL)",
      "description": "The Certified Health IT Product List (CHPL) is a comprehensive and authoritative listing of all certified Health Information Technology which has been successfully tested and certified by the ONC Health IT Certification program. All products listed on the CHPL have been tested by an ONC-Accredited Testing Laboratory (ONC-ATL) and certified by an ONC-Authorized Certification Body (ONC-ACB) to meet criteria adopted by the Secretary of the Department of Health and Human Services (HHS).",
      "identifier": "udruc2qi-rbx5-4vvp-3rf5-hmf1b7wzvqym",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Certified Health IT Product List (CHPL) landing page",
        "accessURL": "https://chpl.healthit.gov/#/resources/download"
      },
      "accrualPeriodicity": "daily",
      "keyword": [
        "health IT",
        "certified",
        "EHR",
        "electronic health records"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "ui6g-vumy",
      "title": "2021 Final Assisted Reproductive Technology (ART) Services and Profiles",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinicâ€™s contact information, location, the medical directorâ€™s name, and summary statistics.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National ART Surveillance System",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-12-18",
      "issued": "2024-12-09",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Assisted Reproductive Technology (ART)"
        }
      ],
      "keyword": [
        "fertility",
        "art",
        "clinic",
        "success rates",
        "services",
        "infertility",
        "assisted reproductive technology"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Reproductive Health (DRH)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "ARTINFO"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "2021 Final Assisted Reproductive Technology (ART) Services and Profiles",
          "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinic's contact information, location, the medical director's name, and summary statistics.",
          "accessURL": "https://data.cdc.gov/d/ui6g-vumy",
          "downloadURL": "https://data.cdc.gov/Assisted-Reproductive-Technology-ART-/2021-Final-Assisted-Reproductive-Technology-ART-Se/ui6g-vumy/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-12-18",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/ui6g-vumy",
            "title": "2021 Final Assisted Reproductive Technology (ART) Services and Profiles"
          },
          "accessRestriction": [
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              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
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              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
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              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
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            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Final Assisted Reproductive Technology (ART) Services and Profiles Series",
          "description": "The Services and Profiles dataset series provides an overview of clinic services, the clinic's contact information, location, the medical director's name, and summary statistics."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "FY 2026 SNF VBP Aggregate Performance",
        "accessURL": "https://data.cms.gov/provider-data/dataset/ujcx-uaut"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-11-01",
      "@type": "Dataset",
      "modified": "2025-12-02",
      "released": "2025-12-10",
      "nextUpdateDate": "2026-12-02",
      "keyword": [
        "Value Based Purchasing"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:SNFVBPquestions@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
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      },
      "identifier": "ujcx-uaut",
      "description": "This table contains national, aggregate-level results for the fiscal year (FY) 2026 Skilled Nursing Facility Value-Based Purchasing (SNF VBP) Program. Included are national average measure results for the baseline period and performance period, the achievement threshold and benchmarks (that is, the performance standards for each measure for the FY 2026 SNF VBP Program year), and information on performance scores, incentive payment multipliers, value-based incentive payments (in dollars), and the total number of SNFs receiving value-based incentive payments for the FY 2026 SNF VBP Program year.<br /><br />Note: CMS will not publicly report any data for excluded SNFs. CMS finalized a measure minimum policy for the FY 2026 Program year. To receive a performance score and incentive payment multiplier for the FY 2026 Program year, SNFs must meet the case minimum during the performance period for at least two of the four quality measures. SNFs that do not meet the measure minimum are excluded from the SNF VBP Program for FY 2026. Payments to these SNFs will not be affected by the SNF VBP Program; instead, they will receive their adjusted federal per diem rate.",
      "title": "FY 2026 SNF VBP Aggregate Performance",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/9edb8fc369e3adecc5c8d50906d2ffc9_1764720378/FY_2026_SNF_VBP_Aggregate_Performance.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/nursing_home/NH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Nursing homes including rehab services"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Rural Emergency Hospital Unplanned Hospital Visits - National",
        "accessURL": "https://data.cms.gov/provider-data/dataset/uk3n-au7a"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2026-01-26",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Rural",
        "Emergency Hospital",
        "Emergency Department",
        "Unplanned Hospital Visits",
        "National"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
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          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "uk3n-au7a",
      "description": "This data set includes national-level data for unplanned hospital visits quality measures included under the Rural Emergency Hospital Quality Reporting (REHQR) Program.",
      "title": "Rural Emergency Hospital Unplanned Hospital Visits - National",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/ab50380fe5f8578c9b07e118dcdc43e4_1785189979/REH_Unplanned_Hospital_Visits-National.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2018 Individual Dental",
      "identifier": "uq9k-q56k",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2017-10-25T12:21:03Z",
      "modified": "2019-02-18T23:24:48Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "qhp"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2018_Dent-Indi-Land-07-26-2018.xlsx.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Patient survey (ICH CAHPS) - National",
        "accessURL": "https://data.cms.gov/provider-data/dataset/utgq-v46w"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-03-14",
      "@type": "Dataset",
      "modified": "2026-06-16",
      "released": "2026-07-15",
      "nextUpdateDate": "2026-10-28",
      "keyword": [
        "Patient Survey",
        "Patient Experience of Care"
      ],
      "contactPoint": {
        "fn": "Dialysis Facility Helpdesk",
        "hasEmail": "mailto:DialysisData@umich.edu"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "utgq-v46w",
      "description": "The national average for ICH-CAHPS Survey measures. The ICH-CAHPS Survey is a national, standardized survey of in-center hemodialysis patients about their experiences with the facility, facility doctors and staff, and care received.",
      "title": "Patient survey (ICH CAHPS) - National",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/a30c36613321ee42e978617533508cf9_1781625944/ICH_CAHPS_NATIONAL.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "uuui-fh3m",
      "title": "PLACES: Place Data (GIS Friendly Format), 2022 release",
      "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2023-06-15",
      "issued": "2023-06-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "outcomes",
        "place",
        "places",
        "prevalence",
        "prevention",
        "risk",
        "status",
        "gis",
        "city",
        "behaviors",
        "health"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Place Data (GIS Friendly Format), 2022 release",
          "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
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          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Place-Data-GIS-Friendly-Format-2022-release/uuui-fh3m/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-06-15",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/uuui-fh3m",
            "title": "PLACES: Place Data (GIS Friendly Format), 2022 release"
          },
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            }
          ],
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              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Place Data (GIS Friendly Format) Series, 2020-2025",
          "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 OR Individual Dental",
      "identifier": "uwvd-ermr",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2014-11-13T17:24:22Z",
      "modified": "2015-08-20T00:58:56Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_OR-Dent-Indi-Land-08-13-2015.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Veterans Health Administration Provider Level Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/uyx4-5s7f"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-12",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Veterans Health Administration",
        "General Information"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "uyx4-5s7f",
      "description": "A list of all VHA hospitals. The list includes addresses and phone numbers.",
      "title": "Veterans Health Administration Provider Level Data",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/9cea8696850b78e02559183bd6071fd6_1785189971/Veterans_Health_Administration_Provider_Level_Data.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "v246-z5tb",
      "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County  –  2015-2017",
      "description": "2015 to 2017, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke. \nhttps://www.cdc.gov/dhdsp/maps/atlas",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Heart Disease and Stroke Surveillance",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division for Heart Disease and Stroke Prevention (DHDSP)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-02-11",
      "issued": "2019-07-24",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Heart Disease & Stroke Prevention"
        }
      ],
      "keyword": [
        "stroke",
        "cardiovascular disease",
        "cerebrovascular disease",
        "county"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/heart-disease-and-stroke-data/index.html",
        "title": "CDC Division for Heart Disease and Stroke Prevention, Interactive Atlas of Heart Disease and Stroke"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/heart-disease-and-stroke-data/index.html",
        "title": "DHDSP Requests"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2015-2017",
          "description": "2015 to 2017, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke. \nhttp://www.cdc.gov/dhdsp/maps/atlas",
          "accessURL": "https://data.cdc.gov/d/v246-z5tb",
          "downloadURL": "https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/v246-z5tb/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-02-11",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/v246-z5tb",
            "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2015-2017"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County Series",
          "description": "3-year average (2014-2021). Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": " QHP Landscape Instructions PY2015 Medical SHOP",
      "identifier": "v36e-g3wx",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-04-14T20:14:25Z",
      "modified": "2015-08-20T01:08:00Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "jrsmith",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_Med-SHOP-Land-08-03-2015.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2014 ID Individual Dental",
      "identifier": "v3zc-mkgu",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2013-12-11T00:31:48Z",
      "modified": "2014-08-20T21:58:58Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/ID_Individual_Market_Dental_8_11_14.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Business Rules PUF - PY2015",
      "identifier": "v4vv-f44q",
      "description": "The Business Rules PUF (BR-PUF) is one of the seven files that make up the Marketplace PUF. The BR-PUF contains plan-level data on the application of rates, such as allowed relationships (e.g., spouse, dependents) and tobacco use. These data either originate from the Business Rules template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2014-11-26T17:04:10Z",
      "modified": "2017-12-11T22:47:50Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/business-rules-puf.v4vv-f44q.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/a26064b1-e69d-458c-af80-682ada8139f3",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 Individual Medical",
      "identifier": "v7sn-c66v",
      "description": "For instructions on how to read and use this data, visit https://data.healthcare.gov/download/8dmy-3x2v/application/pdf",
      "accessLevel": "public",
      "issued": "2015-10-29T18:34:47Z",
      "modified": "2016-11-18T16:48:32Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2016-qhp-landscape-individual-market-medical.v7sn-c66v.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e6c3db71-d4c4-41bf-bb7e-7c1d97573122",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2014 ID Dental SHOP",
      "identifier": "v8mw-epqh",
      "description": "QHP Landscape ID SHOP Market Dental - Idaho  For instructions on how to read and use this data, please view the documentation available under the ‘About’ tab on this page.",
      "accessLevel": "public",
      "issued": "2013-12-02T12:11:32Z",
      "modified": "2014-08-20T21:49:51Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/qhp-landscape-id-shop-market-dental.v8mw-epqh.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/d63b71e0-9567-4263-9109-9db0f5f9a271",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:IRFQualityQuestions@cms.hhs.gov"
      },
      "description": "A list of inpatient rehabilitation facilities with data on the quality of patient care measures shown on Inpatient Rehabilitation Facility Compare.",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/951b6ffd298db4857dd89edc81ee1364_1789157136/Inpatient_Rehabilitation_Facility-Provider_Data_Sep2026_2.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/inpatient/IRF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "v9e4-nwhh",
      "issued": "2026-08-12",
      "keyword": [
        "Quality",
        "Measures",
        "Provider Data",
        "Provider-level",
        "Rehabilitation",
        "Quality Reporting"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Inpatient Rehabilitation Facility - Provider Data",
        "accessURL": "https://data.cms.gov/provider-data/dataset/v9e4-nwhh"
      },
      "modified": "2026-09-11",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "released": "2026-09-23",
      "theme": [
        "Inpatient rehabilitation facilities"
      ],
      "title": "Inpatient Rehabilitation Facility - Provider Data",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "ESRD QIP - Long Term Catheter - Payment Year 2026",
        "accessURL": "https://data.cms.gov/provider-data/dataset/vat_topic"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2021-01-20",
      "@type": "Dataset",
      "modified": "2025-12-15",
      "released": "2026-01-21",
      "keyword": [
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "ESRD QIP Helpdesk",
        "hasEmail": "mailto:ESRDQIP@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "vat_topic",
      "description": "This dataset includes facility details, performance rates, Long-term Catheter measure score, and the state and national average measure scores for the Long-term Catheter Rate measure for the PY 2026 ESRD QIP.",
      "title": "ESRD QIP - Long Term Catheter - Payment Year 2026",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/ca66e5b272e22b9d9232619d1a904c5e_1767139564/VAT_LTC.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/dialysis/DF_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Dialysis facilities"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "vba9-s8jp",
      "title": "Nutrition, Physical Activity, and Obesity - Youth Risk Behavior Surveillance System",
      "description": "This dataset includes data on adolescent's diet, physical activity, and weight status from Youth Risk Behavior Surveillance System (YRBSS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about YRBSS visit https://www.cdc.gov/healthyyouth/data/yrbs/index.htm.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Nutrition, Physical Activity, and Obesity",
          "hasEmail": "mailto:dnpaoinfo@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Nutrition, Physical Activity, and Obesity (DNPAO)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2026-05-12",
      "issued": "2016-07-22",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Nutrition"
        },
        {
          "@type": "Concept",
          "prefLabel": "Physical Activity"
        },
        {
          "@type": "Concept",
          "prefLabel": "and Obesity"
        }
      ],
      "keyword": [
        "fruit",
        "dnpao",
        "adolescents",
        "yrbss",
        "vegetables",
        "tv",
        "soda",
        "physical activity",
        "overweight",
        "obesity"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/healthyyouth/data/yrbs/index.htm",
        "title": "Centers for Disease Control and Prevention (CDC), National Center for Chronic Disease Prevention and Health Promotion, Division of Nutrition, Physical Activity, and Obesity"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/healthyyouth/data/yrbs/index.htm",
        "title": "DNPAO Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Nutrition, Physical Activity, and Obesity - Youth Risk Behavior Surveillance System",
          "description": "This dataset includes data on adolescent's diet, physical activity, and weight status from Youth Risk Behavior Surveillance System (YRBSS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about YRBSS visit https://www.cdc.gov/healthyyouth/data/yrbs/index.htm.",
          "accessURL": "https://data.cdc.gov/d/vba9-s8jp",
          "downloadURL": "https://data.cdc.gov/Nutrition-Physical-Activity-and-Obesity/Nutrition-Physical-Activity-and-Obesity-Youth-Risk/vba9-s8jp/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2026-05-12",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/vba9-s8jp",
            "title": "Nutrition, Physical Activity, and Obesity - Youth Risk Behavior Surveillance System"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
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              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
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                }
              ],
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                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2021 Dental SHOP",
      "identifier": "vbuh-eeh3",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2020-10-21T19:47:35Z",
      "modified": "2021-08-11T19:25:24Z",
      "publisher": {
        "@type": "Organization",
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          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "CMS-WSD-Data-Team",
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "mediaType": "application/x-zip-compressed",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2021_SHOP_Market_Dental_08_04_2021.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 Medical SHOP",
      "identifier": "vcra-66c2",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T18:13:35Z",
      "modified": "2016-11-18T16:51:08Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2016_Med-SHOP-Land-07-29-2016.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "vdgb-f9s3",
      "title": "Question Inventory on Tobacco (QIT)",
      "description": "1965, 1966, 1970, 1974-2015, 2017. Centers for Disease Control and Prevention (CDC). Office on Smoking and Health (OSH). Survey Questions (Tobacco Use). The QIT is a compilation of more than 7,000 historical tobacco-related survey questions from various state, national and international surveys.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2016-11-10",
      "issued": "2015-06-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Survey Questions (Tobacco Use)"
        }
      ],
      "keyword": [
        "qit",
        "osh",
        "tobacco",
        "survey questions",
        "office on smoking and health"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "OSHData@cdc.gov"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Question Inventory on Tobacco (QIT)",
          "description": "1965, 1966, 1970, 1974-2015, 2017. Centers for Disease Control and Prevention (CDC). Office on Smoking and Health (OSH). Survey Questions (Tobacco Use). The QIT is a compilation of more than 7,000 historical tobacco-related survey questions from various state, national and international surveys.",
          "accessURL": "https://data.cdc.gov/d/vdgb-f9s3",
          "downloadURL": "https://data.cdc.gov/Survey-Questions-Tobacco-Use-/Question-Inventory-on-Tobacco-QIT-/vdgb-f9s3/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2016-11-10",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/vdgb-f9s3",
            "title": "Question Inventory on Tobacco (QIT)"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "vegetation",
      "title": "Normalized Difference Vegetation Index Data",
      "description": "Unrestricted access to Landsat Program data and the Annual Greenest-Pixel TOA Reflectance Composite layer of data is critical for this data. This dataset is currently processed within the Google EarthEngine environment, which provides a cloud-based service for intensive processing of satellite imagery data.\nPlease see the link below for data details:\nhttps://ephtracking.cdc.gov/indicatorPages",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Environmental Public Health Tracking Support",
          "hasEmail": "mailto:nephtrackingsupport@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Environmental Health (NCEH), Division of Environmental Health Science and Practice (DEHSP), Environmental Public Health Tracking Branch (EPHTB)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Business Rules PUF - PY2019",
      "identifier": "vf3k-stxb",
      "description": "The Business Rules PUF (BR-PUF) is one of the files that make up the Marketplace PUF. The BR-PUF contains plan-level data on the application of rates, such as allowed relationships (e.g., spouse, dependents) and tobacco use. These data either originate from the Business Rules template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2018-10-25T12:33:04Z",
      "modified": "2019-10-21T20:04:08Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Jennings",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/business-rules-puf-2019.vf3k-stxb.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/6ff72911-eaa3-4ea1-af9e-a2ca8baf859a",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "vgc8-iyc4",
      "title": "PLACES: Place Data (GIS Friendly Format), 2025 release",
      "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey (ACS)  2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. These data can be joined with the 2020 Census place boundary file in a GIS system to produce maps for 40 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-12-04",
      "issued": "2020-10-20",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "behaviors",
        "risk",
        "prevention",
        "city",
        "outcomes",
        "health",
        "gis",
        "disability",
        "place",
        "status",
        "places",
        "social needs",
        "prevalence"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Place Data (GIS Friendly Format), 2025 release",
          "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey (ACS)  2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. These data can be joined with the 2020 Census place boundary file in a GIS system to produce maps for 40 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "accessURL": "https://data.cdc.gov/d/vgc8-iyc4",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Place-Data-GIS-Friendly-Format-2025-release/vgc8-iyc4/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-04",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/vgc8-iyc4",
            "title": "PLACES: Place Data (GIS Friendly Format), 2025 release"
          },
          "accessRestriction": [
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              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
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              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Place Data (GIS Friendly Format) Series, 2020-2025",
          "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "vkwg-yswv",
      "title": "Behavioral Risk Factors  –  Vision and Eye Health Surveillance",
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        ]
      },
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      "modified": "2026-02-26",
      "issued": "2018-02-13",
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        {
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          "prefLabel": "Vision & Eye Health"
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      ],
      "keyword": [
        "contact lenses",
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      ],
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        }
      ],
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          "downloadURL": "https://data.cdc.gov/Vision-Eye-Health/Behavioral-Risk-Factors-Vision-and-Eye-Health-Surv/vkwg-yswv/data_preview",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "vm4m-idi8",
      "title": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2014",
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      "contactPoint": [
        {
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      ],
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        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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        ]
      },
      "accessRights": "public",
      "modified": "2018-07-09",
      "issued": "2014-05-07",
      "theme": [
        {
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      ],
      "keyword": [
        "state and community interventions",
        "osh",
        "office on smoking and health",
        "health communication interventions",
        "cessation intervention",
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        "best practices for comprehensive tobacco control programs",
        "best practices",
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        "surveillance and evaluation",
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      ],
      "landingPage": {
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        "accessURL": "https://www.cdc.gov/tobacco/stateandcommunity/best_practices/",
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          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
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          "downloadURL": "https://data.cdc.gov/Funding/CDC-Best-Practices-for-Comprehensive-Tobacco-Contr/vm4m-idi8/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2018-07-09",
          "describedBy": {
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                  "fn": "NCCDPHP Informatics",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "vr6p-ert2",
      "title": "CDC PRAMStat Data for 2007",
      "description": "2007. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "the Pregnancy Risk Assessment Monitoring System",
          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
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      ],
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        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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          }
        ]
      },
      "accessRights": "public",
      "modified": "2015-03-16",
      "issued": "2015-03-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Maternal & Child Health"
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      ],
      "keyword": [
        "alcohol use",
        "stress",
        "abuse",
        "tobacco use",
        "medicaid",
        "mental health",
        "morbidity",
        "obesity",
        "preconception health",
        "unintended pregnancy",
        "pregnancy history",
        "infant health",
        "contraception",
        "breastfeeding",
        "smoke exposure",
        "prenatal care",
        "reproductive health",
        "sleep behavior",
        "wic"
      ],
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          "@type": "Location",
          "prefLabel": "United States"
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      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/prams/index.htm",
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          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
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      "status": "active",
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        "accessURL": "https://www.cdc.gov/prams/index.htm",
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          "accessURL": "https://data.cdc.gov/d/vr6p-ert2",
          "downloadURL": "https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2007/vr6p-ert2/data_preview",
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          "mediaType": "text/csv",
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          "rights": [
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          "modified": "2015-03-16",
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                  "fn": "NCCDPHP Informatics",
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          "description": "PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2015 NV Medical SHOP",
      "identifier": "vrx7-jeec",
      "description": "For instructions on how to read and use this data, visit: https://data.healthcare.gov/download/y75b-i9bb/application/pdf",
      "accessLevel": "public",
      "issued": "2014-11-13T16:46:10Z",
      "modified": "2015-08-20T00:36:40Z",
      "publisher": {
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        "name": "Office of Communications (OC)",
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      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
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      "keyword": [
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      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2015-qhp-landscape-nv-shop-market-medical.vrx7-jeec.csv",
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            "title": "data.healthcare.gov"
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      "bureauCode": [
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      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 Individual Dental",
      "identifier": "vsn4-8n7e",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T18:07:34Z",
      "modified": "2016-11-18T16:49:53Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2016-Dent-Indi-Land-07-29-2016.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Table 4: FY2024 Value-Based Incentive Payment Amount",
        "accessURL": "https://data.cms.gov/provider-data/dataset/vtqa-m4zn"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2025-12-09",
      "released": "2026-08-13",
      "keyword": [
        "Value Based Purchasing",
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
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        ]
      },
      "identifier": "vtqa-m4zn",
      "description": "Value-Based Incentive Payment Amount displays the number of hospitals that received value-based incentive payment amounts in ranges of $50,000.",
      "title": "Table 4: FY2024 Value-Based Incentive Payment Amount",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/ba15e25a73a051dbb3435458af7eb96d_1770163578/FY2024_Value_Based_Incentive_Payment_Amount.csv",
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            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
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      "theme": [
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      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "vurf-k5wr",
      "title": "500 Cities: Local Data for Better Health, 2017 release",
      "description": "This is the complete dataset for the 500 Cities project 2017 release. This dataset includes 2015, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2015, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2011-2015, 2010-2014 estimates. Because some questions are only asked every other year in the BRFSS, there are 7 measures from the 2014 BRFSS that are the same in the 2017 release as the previous 2016 release. More information about the methodology can be found at www.cdc.gov/500cities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
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          }
        ]
      },
      "accessRights": "public",
      "modified": "2018-12-03",
      "issued": "2018-10-11",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "prevention",
        "prevalence",
        "outcomes",
        "cities",
        "500cities",
        "census",
        "behaviors",
        "unhealthy",
        "tracts"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
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        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "500 Cities Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "500 Cities: Local Data for Better Health, 2017 release",
          "description": "This is the complete dataset for the 500 Cities project 2017 release. This dataset includes 2015, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2015, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2011-2015, 2010-2014 estimates. Because some questions are only asked every other year in the BRFSS, there are 7 measures from the 2014 BRFSS that are the same in the 2017 release as the previous 2016 release. More information about the methodology can be found at www.cdc.gov/500cities.",
          "accessURL": "https://data.cdc.gov/d/vurf-k5wr",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/500-Cities-Local-Data-for-Better-Health-2017-relea/vurf-k5wr/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2018-12-03",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/vurf-k5wr",
            "title": "500 Cities: Local Data for Better Health, 2017 release"
          },
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            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
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              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
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            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "500 Cities Complete Dataset Series, 2016-2019",
          "description": "This is the complete dataset for the 500 Cities project from 2016-2019. Dataset in this series includes model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "vutr-sfkh",
      "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County  –  2019-2021",
      "description": "2019 to 2021, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Heart Disease and Stroke Surveillance",
          "hasEmail": "mailto:dhdsprequests@cdc.gov"
        }
      ],
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        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-01-30",
      "issued": "2024-02-23",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Heart Disease & Stroke Prevention"
        }
      ],
      "keyword": [
        "county",
        "counties",
        "cerebrovascular disease",
        "cardiovascular disease",
        "cardiovascular",
        "stroke"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
        "title": "CDC Division for Heart Disease and Stroke Prevention, Interactive Atlas of Heart Disease and Stroke"
      },
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          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
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        "title": "DHDSP Requests"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2019-2021",
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          "accessURL": "https://data.cdc.gov/d/vutr-sfkh",
          "downloadURL": "https://data.cdc.gov/Heart-Disease-Stroke-Prevention/Stroke-Mortality-Data-Among-US-Adults-35-by-State-/vutr-sfkh/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-01-30",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/vutr-sfkh",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "vw7y-v3uk",
      "title": "University of Illinois at Chicago Health Policy Center - Funding",
      "description": "1991-2016. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  Funding Data, Appropriations (1991-2016) and Expenditures (2008-2016).  Appropriations data show public funds allocated to/by a particular state for tobacco prevention and control.  They are not necessarily expended.  Appropriations are from four major funding sources, Federal, state, Robert Wood Johnson Foundation (RWJF), and the American Legacy Foundation (Legacy).  Expenditures are amounts spent by state tobacco control programs on tobacco prevention and control.  Expenditure data are available by CDC Best Practices Program Components (State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management). Expenditures from 2008 to 2014 are compared against 2007 CDC Best Practices Recommendations; expenditures from 2015 and forward are compared against 2014 CDC Best Practices Recommendations.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2018-10-03",
      "issued": "2014-08-27",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Funding"
        }
      ],
      "keyword": [
        "surveillance and evaluation",
        "recommended level",
        "spending",
        "state and community",
        "recommendation",
        "osh",
        "tobacco",
        "office on smoking and health",
        "money",
        "interventions",
        "health communication",
        "grants",
        "funds",
        "funding",
        "federal",
        "expenditure",
        "dollars",
        "cessation",
        "best practices",
        "awards",
        "appropriation",
        "allocation",
        "administration and management",
        "state system"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
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      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.impacteen.org/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health"
      },
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        {
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          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
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      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.impacteen.org/",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "University of Illinois at Chicago Health Policy Center - Funding",
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          "accessURL": "https://data.cdc.gov/d/vw7y-v3uk",
          "downloadURL": "https://data.cdc.gov/Funding/University-of-Illinois-at-Chicago-Health-Policy-Ce/vw7y-v3uk/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2018-10-03",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "vwmz-4ja3",
      "title": "ASTDD Synopses of State Oral Health Programs - Selected indicators",
      "description": "2011-2022. The ASTDD Synopses of State Oral Health Programs contain information useful in tracking statesâ€™ efforts to improve oral health and contributions to progress toward the national targets for Healthy People objectives for oral health. A subset of the information collected from the most recent five years is provided on the Oral Health Data website. For more information, see https://www.cdc.gov/oralhealthdata/overview/synopses/index.html",
      "contactPoint": [
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      ],
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          }
        ]
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      "issued": "2015-06-01",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Oral Health"
        }
      ],
      "keyword": [
        "programs",
        "school based sealant programs",
        "infrastructure",
        "state dental directors",
        "state oral health program characteristics",
        "workforce",
        "policy",
        "cleft lip/cleft palate referral to care",
        "cleft lip/cleft palate recording",
        "oral health"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/oralhealth/",
        "title": "ASTDD (Association of State and Territorial Dental Directors)"
      },
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        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
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      },
      "status": "active",
      "describedBy": {
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        "accessURL": "https://www.cdc.gov/oralhealth/",
        "title": "Oral Health Inquiries"
      },
      "distribution": [
        {
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          "description": "2011-2022. The ASTDD Synopses of State Oral Health Programs contain information useful in tracking states' efforts to improve oral health and contributions to progress toward the national targets for Healthy People objectives for oral health. A subset of the information collected from the most recent five years is provided on the Oral Health Data website. For more information, see http://www.cdc.gov/oralhealthdata/overview/synopses/index.html",
          "accessURL": "https://data.cdc.gov/d/vwmz-4ja3",
          "downloadURL": "https://data.cdc.gov/Oral-Health/ASTDD-Synopses-of-State-Oral-Health-Programs-Selec/vwmz-4ja3/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
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          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Certified Health Information Technology Reported by Hospitals for Promoting Interoperability Performance",
      "description": "The  datasets combine CMS Hospital Promoting Interoperability (PI) participation data with the ONC Certified Health IT Product List (CHPL). The Hospital PI datasets provide the certified EHR technology (CEHRT) reported by all hospitals who reported for Promoting Interoperability, beginning in program year 2023. This data field can be merged with the CHPL data to provide specific certified product details.",
      "identifier": "vwod2z9z-sg6x-1osq-79ue-4mg1onvb3vvy",
      "accessRights": "public",
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      "contactPoint": {
        "@type": "Kind",
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      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
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      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Certified Health Information Technology Reported by Hospitals for Promoting Interoperability Performance landing page",
        "accessURL": "https://healthit.gov/data/datasets/certified-health-information-technology-reported-by-hospitals-for-promoting-interoperability-performance/"
      },
      "modified": "2026-01-20",
      "accrualPeriodicity": "annually",
      "keyword": [
        "health IT",
        "certified electronic health record technology",
        "CEHRT",
        "adoption",
        "EHR vendors",
        "EHR developers",
        "CMS EHR Incentrive Program",
        "federal programs",
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      ],
      "distribution": [
        {
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          "title": "hospital-promoting-interoperability-chpl-linkage.csv",
          "downloadURL": "https://healthit.gov/wp-content/uploads/data/datasets/hospital-promoting-interoperability-chpl-linkage.csv",
          "mediaType": "text/csv",
          "format": "CSV"
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "Home Health CAHPS Helpdesk",
        "hasEmail": "mailto:hhcahps@rti.org"
      },
      "description": "National Data for Home Health Care - Patient Survey (HHCAHPS) for 2025Q1 to 2025Q4",
      "distribution": [
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          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/c72590ff6d3ffa1b972995d8f06dca25_1782764088/HHCAHPS_National_Jul2026.csv",
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          "describedBy": {
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            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/home_health/HHS_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "vxub-6swi",
      "issued": "2026-06-10",
      "keyword": [
        "Patient Survey",
        "National",
        "Average",
        "CAHPS",
        "Medicare",
        "Patient Experience of Care"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Home Health Care - Patient Survey (HHCAHPS) National Data 2025Q1 to 2025Q4",
        "accessURL": "https://data.cms.gov/provider-data/dataset/vxub-6swi"
      },
      "modified": "2026-06-10",
      "programCode": [
        "009:000"
      ],
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        "@type": "Organization",
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        "subOrganizationOf": [
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            "@type": "Organization",
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      },
      "released": "2026-07-15",
      "nextUpdateDate": "2026-10-21",
      "theme": [
        "Home health services"
      ],
      "title": "Home Health Care - Patient Survey (HHCAHPS) National Data 2025Q1 to 2025Q4",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Hospital Public Health Reporting",
      "description": "The Centers for Medicare & Medicaid Services (CMS) EHR Incentive Program provides incentive payments for eligible hospitals to adopt and meaningfully use certified health IT. Among the requirements to receive an incentive payment, participating hospitals must report on public health measures. These measures include the electronic reporting of data regarding: immunizations, emergency department visits (syndromic surveillance), reportable infectious disease laboratory results, and electronic patient data to specialized registries, like cancert. As of 2015, stage 2 of the EHR Incentive Program requires hospitals to report on three public health measures, when applicable, and modified stage 2 of the program requires hospitals to report on two of the three measures. This dataset includes the percentage of hospitals who reported on these measures in program years, 2013, 2014 and 2015.",
      "identifier": "vzcc5ta0-36kx-g2f7-uzay-ps4jb0jt6xdw",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Hospital Public Health Reporting landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/hospital-public-health-reporting"
      },
      "modified": "2017-01-12",
      "accrualPeriodicity": "annually",
      "keyword": [
        "health information technology",
        "health IT",
        "public health measures reporting",
        "public health measures",
        "CMS EHR Incentive Program",
        "emergency department visits",
        "interoperability"
      ],
      "relation": [
        "https://www.healthit.gov/data/quickstats/hospital-selection-public-health-measures-state"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan ID Crosswalk PUF - PY2016",
      "identifier": "w456-edbt",
      "description": "The Plan ID Crosswalk PUF (CW-PUF) is one of the seven files that make up the Marketplace PUF. The purpose of the CW-PUF is to map QHPs and SADPs offered through the Marketplaces in 2014 to plans that will be offered through the Marketplaces in 2015. These data either originate from the Plan Crosswalk template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).This data dictionary describes the variables contained in the CW-PUF. Each record relates to a mapping between a plan offered in 2014 and a plan offered in 2015 at the county or county-zip code level.",
      "accessLevel": "public",
      "issued": "2015-11-10T16:01:17Z",
      "modified": "2016-05-06T17:01:07Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Balaji",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/plan-crosswalk-puf-2016.w456-edbt.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/20d18179-e8d1-45b9-a949-ee8f10bc3e88",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2014 ID Individual Dental",
      "identifier": "w46c-tnzb",
      "description": "QHP Landscape ID Individual Market Dental - Idaho  For instructions on how to read and use this data, please view the documentation available under the ‘About’ tab on this page.",
      "accessLevel": "public",
      "issued": "2013-12-02T12:23:01Z",
      "modified": "2014-08-20T21:48:34Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/qhp-landscape-id-individual-market-dental.w46c-tnzb.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e9f5c38c-56fc-4eb9-bf65-852e1e359940",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2016 HI Individual Medical",
      "identifier": "w8x9-aq6p",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-29T17:53:37Z",
      "modified": "2015-12-03T00:30:37Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/2016-qhp-landscape-hi-individual-market-medical.w8x9-aq6p.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e6c3db71-d4c4-41bf-bb7e-7c1d97573122",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "wan8-w4er",
      "title": "CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislationâ€”Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-01",
      "issued": "2015-05-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Legislation"
        }
      ],
      "keyword": [
        "policy",
        "smokefree indoor air",
        "state system",
        "e-cigarette",
        "legislation",
        "osh"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislationâ€”Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.",
          "accessURL": "https://data.cdc.gov/d/wan8-w4er",
          "downloadURL": "https://data.cdc.gov/Legislation/CDC-STATE-System-E-Cigarette-Legislation-Smokefree/wan8-w4er/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-04-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/wan8-w4er",
            "title": "CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
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                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "waxm-p5qv",
      "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2010 and Prior)",
      "description": "2002-2010. BRFSS SMART MMSA Prevalence land line only data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Behavioral Risk Factor Surveillance System",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2017-02-27",
      "issued": "2015-06-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Behavioral Risk Factors"
        }
      ],
      "keyword": [
        "survey",
        "brfss",
        "mmsa",
        "...",
        "risk",
        "smart",
        "behavioral"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/brfss/",
        "title": "PublicInquiriesDPH@cdc.gov"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/brfss/",
        "title": "DPH Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2010 and Prior)",
          "description": "2002-2010. BRFSS SMART MMSA Prevalence land line only data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data",
          "accessURL": "https://data.cdc.gov/d/waxm-p5qv",
          "downloadURL": "https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factors-Selected-Metropolitan-Area/waxm-p5qv/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2017-02-27",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/waxm-p5qv",
            "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2010 and Prior)"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data Series",
          "description": "BRFSS SMART MMSA Prevalence land line only data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "AB Registration Completion List",
      "identifier": "wb6u-x2ny",
      "description": "Access Data Dictionary Here - <a href=\"https://www.cms.gov/CCIIO/Programs-and-Initiatives/Health-Insurance-Marketplaces/Downloads/62416-AB-Registration-Completion-List-Data-Dictionary-Web_v1.pdf\">Data Dictionary (PDF)</a> Access Lines of Authority Here - <a href=\"/AB-NIPR-Health-Line-Of-Authority\">NIPR Health Line of Authority</a>",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2016-03-30T14:54:00Z",
      "modified": "2026-09-25T13:23:00Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "FFMProducer-AssisterHelpDesk",
        "hasEmail": "mailto:FFMProducer-AssisterHelpDesk@cms.hhs.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "Registration Completion List for 2016- Present",
          "description": " ",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/TBL_RCL_437.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/22ad17f4-1b4d-4382-b940-79bddc8bb610",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "Distribution",
          "title": "Registration Completion List for 2014 & 2015",
          "description": "The Registration Completion List has been divided into two separate datasets: one for plan years 2014 & 2015 and another for plan years 2016 to the present. The link above provides access to the 2014-2015 dataset.",
          "format": "csv",
          "downloadURL": "https://data.healthcare.gov/sites/default/files/uploaded_resources/RCL_2014_2015_2.csv",
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "NIPR Valid Lines of Authority List",
      "identifier": "wk5a-kdpd",
      "description": "This dataset has been deprecated. Please click here: <a href=\"/AB-NIPR-Health-Line-Of-Authority\">https://data.healthcare.gov/AB-NIPR-Health-Line-Of-Authority</a> to be redirected.",
      "accessLevel": "public",
      "accrualPeriodicity": "R/P10Y",
      "issued": "2016-11-17T15:39:07Z",
      "modified": "2020-08-10T17:33:48Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
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            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "diaz_jonathan",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "description": "This dataset has been deprecated. Please click here: <a href=\"/AB-NIPR-Health-Line-Of-Authority\">https://data.healthcare.gov/AB-NIPR-Health-Line-Of-Authority</a> to be redirected.",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/nipr-valid-lines-of-authority-list.wk5a-kdpd.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/f0ec4e5c-c8d5-487b-92bf-4c4f471a1f2f",
            "title": "data.healthcare.gov"
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          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Outpatient Imaging Efficiency - Hospital",
        "accessURL": "https://data.cms.gov/provider-data/dataset/wkfw-kthe"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-05",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Outpatient",
        "CT Scans"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
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        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "wkfw-kthe",
      "description": "Use of medical imaging - provider data. These measures give you information about hospitals' use of medical imaging tests for outpatients. Examples of medical imaging tests include CT scans and MRIs.",
      "title": "Outpatient Imaging Efficiency - Hospital",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/d0134a9a89e59d49426cf5a2ad063b60_1785189966/Outpatient_Imaging_Efficiency-Hospital.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "wrev-kwxu",
      "title": "2022 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics",
      "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "National ART Surveillance System",
          "hasEmail": "mailto:cdcinfo@cdc.gov"
        }
      ],
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        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
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                "name": "U.S. Department of Health and Human Services"
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          }
        ]
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      "modified": "2024-12-18",
      "issued": "2016-05-12",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Assisted Reproductive Technology (ART)"
        }
      ],
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        "art",
        "clinic",
        "fertility",
        "infertility",
        "services",
        "success rates",
        "assisted reproductive technology"
      ],
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        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/art/reports/index.html",
        "title": "Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Reproductive Health (DRH)"
      },
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          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
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      ],
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      },
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rate PUF - PY2014",
      "identifier": "wrir-p5fi",
      "description": "The Rate PUF (Rate-PUF) is one of the seven files that make up the Marketplace PUF. The Rate-PUF contains plan-level data on individual rates based on an eligible subscriber’s age, tobacco use, and geographic location. These data either originate from the Rate Table template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2014-12-22T19:46:41Z",
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        "name": "Office of Communications (OC)",
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      "contactPoint": {
        "fn": "CMS",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
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      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/rate-puf-2014.wrir-p5fi.csv",
          "describedBy": {
            "@type": "Distribution",
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            "title": "data.healthcare.gov"
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        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
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      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Service Area PUF - PY2016",
      "identifier": "wudg-eius",
      "description": "The Service Area PUF (SA-PUF) is one of the seven files that make up the Marketplace PUF. The SA-PUF contains issuer-level data on the geographic coverage or service area (i.e., where the plan is offered) including state, county, and zip code. These data either originate from the Service Area template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2015-11-10T15:55:30Z",
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        ]
      },
      "contactPoint": {
        "fn": "Balaji",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/service-area-puf-2016.wudg-eius.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/d5ac9404-a629-4a1e-a59a-67d0db30265d",
            "title": "data.healthcare.gov"
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        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Ambulatory Surgical Center Quality Measures - National",
        "accessURL": "https://data.cms.gov/provider-data/dataset/wue8-3vwe"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-10-01",
      "@type": "Dataset",
      "modified": "2025-12-16",
      "released": "2026-08-13",
      "keyword": [
        "Ambulatory Surgical Center",
        "National",
        "Surgery",
        "Colonoscopy"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "wue8-3vwe",
      "description": "This file contains the national averages for all measures reported through the Ambulatory Surgical Center Quality Reporting (ASCQR) Program.",
      "title": "Ambulatory Surgical Center Quality Measures - National",
      "programCode": [
        "009:000"
      ],
      "distribution": [
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          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/43dcc3212bfab34ac186ac2e19196b09_1770163554/ASC_National.csv",
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      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2018 Individual Dental",
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      "description": "Dataset.",
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      "issued": "2017-10-25T12:27:32Z",
      "modified": "2019-02-18T23:25:14Z",
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      "keyword": [
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          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/Dental_Individual_Landscape_Instructions_and_Notes_07_26_2018.pdf"
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    },
    {
      "@type": "Dataset",
      "title": "Effects of Meaningful Use Functionalities on Health Care Quality, Safety, and Efficiency",
      "description": "The Updated Systematic Review reviews the January 2010 to August 2013 health IT literature to examine the effects of health IT across three aspects of care: efficiency, quality, and safety. This report updates previous systematic reviews of the health IT literature, focusing specifically on identifying and summarizing the evidence related to the use of health IT as outlined in the Meaningful Use regulations. The review examined the literature to determine the article authors' findings related to the effects or associations of a meaningful use functionality on an aspect of care. Each article's findings was scored as positive (defined as: health IT improved key aspect of care but none worse off), mixed-positive (defined as: positive effects of health IT outweight negative effects), neutral (defined as: health IT not associated with change in outcome), or negative (defined as: negative effects of health IT on outcome). The full review data: article, related meaningful use functionality, aspect of care, and author sentiment are provided in this dataset.",
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      "accessRights": "public",
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      "contactPoint": {
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      },
      "publisher": {
        "@type": "Organization",
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      },
      "bureauCode": [
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      ],
      "programCode": [
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        "title": "Effects of Meaningful Use Functionalities on Health Care Quality, Safety, and Efficiency landing page",
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        "https://www.healthit.gov/data/quickstats/effects-meaningful-use-functionalities-health-care-quality-safety-and-efficiency",
        "https://www.healthit.gov/data/quickstats/effects-meaningful-use-functionalities-health-care-quality-safety-and-efficiency-0"
      ],
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      "inventoried": "2026-09-27"
    },
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      "@type": "Dataset",
      "title": "QHP Landscape PY2020 Individual Dental",
      "identifier": "x2qq-i82p",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2019-10-16T18:24:45Z",
      "modified": "2020-10-23T20:27:55Z",
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      },
      "keyword": [
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      ],
      "distribution": [
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          "@type": "Distribution",
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          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/Individual_Market_Dental_07_27_2020.xlsx.zip"
        }
      ],
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        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "ONC Regional Extension Centers (REC) Key Performance Indicators (KPIs) by County",
      "description": "The ONC Regional Extension Centers (REC) Program provides assistance to health care providers to adopt and meaningfully use certified EHR technology. The program, funded through the American Recovery and Reinvestment Act (ARRA) or The Recovery Act, provides grants to organizations, Regional Extension Centers, that assist providers directly in the organization's region. There are 62 unique RECs across the United States. This data set provides county-level health care professional participation in the REC Program. You can track metrics on the total primary care and non-primary care providers that signed up for REC assistance, gone live with an EHR, and demonstrated meaningful use of certified EHR technology. See ONC's REC data by state to track these metrics at the county level.",
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      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
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      ],
      "landingPage": {
        "@type": "Document",
        "title": "ONC Regional Extension Centers (REC) Key Performance Indicators (KPIs) by County landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/onc-regional-extension-centers-rec-key-performance-indicators-kpis-county"
      },
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        "health IT",
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        "regional extension centers",
        "indicators",
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      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
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      "landingPage": {
        "@type": "Document",
        "title": "Outpatient and Ambulatory Surgery Consumer Assessment of Healthcare Providers and Systems (OAS CAHPS) survey for ambulatory surgical centers - State",
        "accessURL": "https://data.cms.gov/provider-data/dataset/x663-bwbj"
      },
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      "released": "2026-08-13",
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        "Outpatient Surgery"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
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      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
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        ]
      },
      "identifier": "x663-bwbj",
      "description": "A list of the state averages for the OAS CAHPS survey responses. The OAS CAHPS survey collects information about patients' experiences of care in hospital outpatient departments (HOPDs) and ambulatory surgical centers (ASCs). The data are updated and reported each quarter with data from the most recently completed quarter replacing the oldest quarter of data.",
      "title": "Outpatient and Ambulatory Surgery Consumer Assessment of Healthcare Providers and Systems (OAS CAHPS) survey for ambulatory surgical centers - State",
      "programCode": [
        "009:000"
      ],
      "distribution": [
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          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/f086b4b7fc9d628f08e70ade47dff3c5_1785189946/ASCQR_OAS_CAHPS_STATE.csv",
          "mediaType": "text/csv",
          "describedBy": {
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            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "x6ag-8y7r",
      "title": "Global Tobacco Surveillance System (GTSS) - Global Health Professions Student Survey (GHPSS)",
      "description": "2005-2011. The World Health Organization, CDC, and the Canadian Public Health Association, developed the GHPSS to collect data on tobacco use and cessation counseling among health professional students in all WHO member states. GHPSS is a standardized school-based survey of third-year students pursuing advanced degrees in dentistry, medicine, nursing, or pharmacy. It is conducted in schools during regular class sessions. GHPSS follows an anonymous, self-administered format for data collection. GHPSS uses a core questionnaire on demographics, prevalence of cigarette smoking and other tobacco use, knowledge and attitudes about tobacco use, exposure to secondhand smoke, desire for smoking cessation, and training received regarding patient counseling on smoking cessation techniques. Questionnaires are translated into local languages as needed. GHPSS has a standardized methodology for selecting participating schools and classes and uniform data processing procedures.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
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            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
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            ]
          }
        ]
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      "accessRights": "public",
      "modified": "2025-01-31",
      "issued": "2015-03-16",
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          "@type": "Concept",
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        }
      ],
      "keyword": [
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        "tobacco",
        "osh",
        "ghpss",
        "students"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "Global"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://nccd.cdc.gov/GTSSData/default/default.aspx",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
      "rights": [
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      ],
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        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
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        "@type": "Document",
        "accessURL": "https://nccd.cdc.gov/GTSSData/default/default.aspx",
        "title": "OSHData Support"
      },
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          "accessURL": "https://data.cdc.gov/d/x6ag-8y7r",
          "downloadURL": "https://data.cdc.gov/Global-Survey-Data/Global-Tobacco-Surveillance-System-GTSS-Global-Hea/x6ag-8y7r/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-01-31",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/x6ag-8y7r",
            "title": "Global Tobacco Surveillance System (GTSS) - Global Health Professions Student Survey (GHPSS)"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Plan ID Crosswalk PUF - PY2017",
      "identifier": "xawq-c9wn",
      "description": "The Plan ID Crosswalk PUF (CW-PUF) is one of the files that make up the Marketplace PUF. The purpose of the CW-PUF is to map QHPs and SADPs offered through the Marketplaces in 2014 to plans that will be offered through the Marketplaces in 2015. These data either originate from the Plan Crosswalk template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).This data dictionary describes the variables contained in the CW-PUF. Each record relates to a mapping between a plan offered in 2014 and a plan offered in 2015 at the county or county-zip code level.",
      "accessLevel": "public",
      "issued": "2017-01-04T14:46:01Z",
      "modified": "2017-01-17T17:16:31Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Andrew Jennings",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/plan-id-crosswalk-puf-2017.xawq-c9wn.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/e44d0fbf-e8d1-45d9-a949-ee8f10bc3e18",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "State US Averages",
        "accessURL": "https://data.cms.gov/provider-data/dataset/xcdc-v8bm"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-07-01",
      "@type": "Dataset",
      "modified": "2026-08-01",
      "released": "2026-08-26",
      "nextUpdateDate": "2026-09-30",
      "keyword": [
        "Average",
        "State",
        "National",
        "Quality",
        "Staffing",
        "Penalties"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:BetterCare@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "xcdc-v8bm",
      "description": "A list of a variety of averages for each state or territory as well as the national average, including each quality measure, staffing, fine amount and number of deficiencies. Each row displays a specific state or territory, the associated measure and average.",
      "title": "State US Averages",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/c8aea0b9df2b5da58a9ed58cb24abffa_1786724151/NH_StateUSAverages_Aug2026.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/nursing_home/NH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Nursing homes including rehab services"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape Instructions PY2016 NM Individual Medical",
      "identifier": "xjz7-rxir",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-10-28T16:38:34Z",
      "modified": "2015-11-24T01:43:31Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Felix",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_NM-Med-Indi-Land-11-09-2015.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Table 2: FY2024 Distribution of Net Change in Base Operating DRG Payment Amount",
        "accessURL": "https://data.cms.gov/provider-data/dataset/xrgf-x36b"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2025-12-09",
      "released": "2026-08-13",
      "keyword": [
        "Value Based Purchasing",
        "Linking Quality to Payment"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "xrgf-x36b",
      "description": "Distribution of Net Change in Base Operating DRG Payment Amount  shows the distribution of hospitals' value-based incentive payment amounts after subtracting the amount of the applicable percent reduction from their Medicare payments.",
      "title": "Table 2: FY2024 Distribution of Net Change in Base Operating DRG Payment Amount",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/c9c4b48e76ed7ca1e965bd39959d497b_1770163573/FY2024_Distribution_of_Net_Change_in_Base_Op_DRG_Payment_Amt.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "xsta-sbh5",
      "title": "CDC STATE System Tobacco Legislation - Preemption",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislationâ€”Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to statutory state preemption of more stringent local laws on advertising, smokefree indoor air, youth access and licensure.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-01",
      "issued": "2014-07-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Legislation"
        }
      ],
      "keyword": [
        "state system",
        "tobacco",
        "legislation",
        "osh",
        "policy",
        "preemption"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "OSHData Support"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC STATE System Tobacco Legislation - Preemption",
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          "accessURL": "https://data.cdc.gov/d/xsta-sbh5",
          "downloadURL": "https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Preemption/xsta-sbh5/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-04-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/xsta-sbh5",
            "title": "CDC STATE System Tobacco Legislation - Preemption"
          },
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            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
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              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
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              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
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            }
          ]
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Hospital General Information",
        "accessURL": "https://data.cms.gov/provider-data/dataset/xubh-q36u"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-01-08",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "General Information",
        "Address",
        "Overall Hospital Rating"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "xubh-q36u",
      "description": "A list of all hospitals that have been registered with Medicare. The list includes addresses, phone numbers, hospital type, and overall hospital rating.",
      "title": "Hospital General Information",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/893c372430d9d71a1c52737d01239d47_1785189955/Hospital_General_Information.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "xvu4-xjdb",
      "title": "CDC PRAMStat Data for 2010",
      "description": "2010. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "the Pregnancy Risk Assessment Monitoring System",
          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2015-03-16",
      "issued": "2015-03-16",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Maternal & Child Health"
        }
      ],
      "keyword": [
        "abuse",
        "wic",
        "unintended pregnancy",
        "tobacco use",
        "stress",
        "smoke exposure",
        "sleep behavior",
        "reproductive health",
        "prenatal care",
        "pregnancy history",
        "preconception health",
        "obesity",
        "morbidity",
        "mental health",
        "medicaid",
        "infant health",
        "contraception",
        "breastfeeding",
        "alcohol use"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/prams/index.htm",
        "title": "Centers for Disease Control and Prevention Division of Reproductive Health Pregnancy Risk Assessment Monitoring System (PRAMS)"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/prams/index.htm",
        "title": "DRH Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CDC PRAMStat Data for 2010",
          "description": "2010. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
          "accessURL": "https://data.cdc.gov/d/xvu4-xjdb",
          "downloadURL": "https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2010/xvu4-xjdb/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2015-03-16",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/xvu4-xjdb",
            "title": "CDC PRAMStat Data for 2010"
          },
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            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "CDC PRAMStat Dataset Series",
          "description": "PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "xx8k-iu94",
      "title": "PLACES: Place Data (GIS Friendly Format), 2023 release",
      "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 36 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2024-07-10",
      "issued": "2024-07-10",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "status",
        "prevention",
        "prevalence",
        "outcomes",
        "gis",
        "disability",
        "city",
        "behaviors",
        "risk",
        "places",
        "place",
        "health"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Place Data (GIS Friendly Format), 2023 release",
          "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 36 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",
          "accessURL": "https://data.cdc.gov/d/xx8k-iu94",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Place-Data-GIS-Friendly-Format-2023-release/xx8k-iu94/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2024-07-10",
          "describedBy": {
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            "accessURL": "https://data.cdc.gov/d/xx8k-iu94",
            "title": "PLACES: Place Data (GIS Friendly Format), 2023 release"
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          ],
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                "https://data.cdc.gov/api"
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                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
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                "name": "Centers for Disease Control and Prevention (CDC)"
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          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Place Data (GIS Friendly Format) Series, 2020-2025",
          "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "xyst-f73f",
      "title": "PLACES: County Data (GIS Friendly Format), 2022 release",
      "description": "This dataset contains model-based county-level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2020 or 2019 county population estimates, and American Community Survey (ACS) 2016 – 2020 or 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census 2020 county boundary file in a GIS system to produce maps for 29 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
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        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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        ]
      },
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      "modified": "2023-06-15",
      "issued": "2023-06-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
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        "behaviors",
        "county",
        "gis",
        "health",
        "outcomes",
        "places",
        "prevalence",
        "prevention",
        "risk",
        "status"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
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          "name": "Centers for Disease Control and Prevention (CDC)"
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      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
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        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
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        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: County Data (GIS Friendly Format), 2022 release",
          "description": "This dataset contains model-based county-level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2020 or 2019 county population estimates, and American Community Survey (ACS) 2016 – 2020 or 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census 2020 county boundary file in a GIS system to produce maps for 29 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
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          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2023-06-15",
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            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/xyst-f73f",
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "xyxp-dxa9",
      "title": "CDC PRAMStat Data for 2004",
      "description": "2004. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
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          "fn": "the Pregnancy Risk Assessment Monitoring System",
          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
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        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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      },
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      "issued": "2015-03-17",
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        {
          "@type": "Concept",
          "prefLabel": "Maternal & Child Health"
        }
      ],
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        "unintended pregnancy",
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        "tobacco use",
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        "smoke exposure",
        "sleep behavior",
        "abuse",
        "alcohol use",
        "breastfeeding",
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        "infant health",
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        "mental health",
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        "prenatal care",
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      ],
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          "prefLabel": "United States"
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      ],
      "landingPage": {
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        "accessURL": "https://www.cdc.gov/prams/index.htm",
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          "name": "Centers for Disease Control and Prevention (CDC)"
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          "@type": "Distribution",
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          "accessURL": "https://data.cdc.gov/d/xyxp-dxa9",
          "downloadURL": "https://data.cdc.gov/Maternal-Child-Health/CDC-PRAMStat-Data-for-2004/xyxp-dxa9/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
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          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
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        }
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      ],
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      ],
      "accessLevel": "public",
      "keyword": [
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      ],
      "contactPoint": {
        "hasEmail": "mailto:CMS_FEPS@cms.hhs.gov",
        "fn": "CMS-WSD-Data-Team"
      },
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      "distribution": [
        {
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/Den-Ind-Landscape.pdf",
          "@type": "Distribution"
        }
      ],
      "identifier": "y23u-8emb",
      "title": "QHP Landscape Instructions PY2021 Individual Dental",
      "issued": "2019-10-16T18:34:32Z",
      "modified": "2021-08-11T19:24:21Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
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      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Ownership",
        "accessURL": "https://data.cms.gov/provider-data/dataset/y2hd-n93e"
      },
      "bureauCode": [
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      ],
      "issued": "2023-06-01",
      "@type": "Dataset",
      "modified": "2026-08-01",
      "released": "2026-08-26",
      "nextUpdateDate": "2026-09-30",
      "keyword": [
        "Ownership"
      ],
      "contactPoint": {
        "fn": "Nursing homes including rehab services",
        "hasEmail": "mailto:BetterCare@cms.hhs.gov"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "y2hd-n93e",
      "description": "A list of ownership information for currently active nursing homes.",
      "title": "Ownership",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/cc4bedc83a7b3752efb24f7817a856ce_1786724150/NH_Ownership_Aug2026.csv",
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            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/nursing_home/NH_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Nursing homes including rehab services"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "y4ft-s73h",
      "title": "Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data (2010 and prior)",
      "description": "1995-2010. BRFSS land line only prevalence data. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Behavioral Risk Factor Surveillance System",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
      ],
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        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-02-13",
      "issued": "2015-06-04",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Behavioral Risk Factors"
        }
      ],
      "keyword": [
        "risk",
        "behavioral",
        "brfss",
        "factor",
        "survey"
      ],
      "spatial": [
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          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/brfss/",
        "title": "DPH Public Inquiries"
      },
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          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
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      ],
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        "name": "Centers for Disease Control and Prevention (CDC)"
      },
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        "title": "DPH Public Inquiries"
      },
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          "accessURL": "https://data.cdc.gov/d/y4ft-s73h",
          "downloadURL": "https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-P/y4ft-s73h/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-02-13",
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            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/y4ft-s73h",
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          "@type": "DatasetSeries",
          "title": "Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data Series",
          "description": "BRFSS land line only prevalence data. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Electronic Prescribing Adoption and Use by County",
      "description": "Electronic prescribing (eRx) is a key component of the meaningful use of health IT to improve health care quality and lower costs. This dataset includes county-level electronic prescribing (eRx) and health information exchange activity by community pharmacies and office-based health care providers active through the Surescripts Network. Surescripts is a health information network, and ONC procured electronic prescribing activity data conducted within its network from December 2008 through April 2014. The Surescripts network is used by the majority of all U.S. community pharmacies to rout prescriptions, excluding closed systems such as Kaiser Permanente. These include chain, franchise, and independently owned pharmacies. Data for annual percentages of new and renewal prescriptions routed through the Surescripts network exclude controlled substances. You may view more information about Surescripts, contact the company, and access more network data through the company's official site.",
      "identifier": "y6vgv2n0-vxxe-pk39-wsqz-9l5plgpjljzr",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Electronic Prescribing Adoption and Use by County landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/electronic-prescribing-adoption-and-use-county"
      },
      "modified": "2014-06-01",
      "keyword": [
        "health IT",
        "electronic prescribing",
        "EHR",
        "physicians",
        "doctors",
        "health information",
        "e-prescribing",
        "county"
      ],
      "relation": [
        "https://www.healthit.gov/data/quickstats/physician-e-rx-through-ehr"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": " QHP Landscape Instructions PY2015 NV Medical SHOP",
      "identifier": "y75b-i9bb",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2015-04-14T20:34:02Z",
      "modified": "2015-08-20T01:14:14Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "jrsmith",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "pdf",
          "mediaType": "application/pdf",
          "downloadURL": "https://data.healthcare.gov/datafile/PY2015_NV-Med-SHOP-Land-08-03-2015.pdf"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2014 ID Medical SHOP",
      "identifier": "y82d-2a52",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2013-12-11T00:33:27Z",
      "modified": "2014-08-20T21:57:08Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/ID_SHOP_Market_Medical_8_11_14.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Footnote Crosswalk",
        "accessURL": "https://data.cms.gov/provider-data/dataset/y9us-9xdf"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2025-09-18",
      "released": "2026-08-13",
      "keyword": [
        "General Information"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "y9us-9xdf",
      "description": "The footnote crosswalk displays a list of footnotes and their summary.",
      "title": "Footnote Crosswalk",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/f29bb7c812e242f6edfef0a4b7d0eaca_1760630713/Footnote_Crosswalk.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "SLCSP - County-Zip Reference Data",
      "identifier": "yaaf-rjhy",
      "description": "SLCSP - County-Zip Reference Data used in PET 2.0",
      "accessLevel": "public",
      "issued": "2013-12-06T13:18:51Z",
      "modified": "2014-04-16T17:41:40Z",
      "license": "https://www.usa.gov/publicdomain/label/1.0/",
      "publisher": {
        "@type": "Organization",
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          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
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        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/slcsp-county-zip-reference-data.yaaf-rjhy.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/af4ef26d-86fe-44b5-911a-2817d0d27271",
            "title": "data.healthcare.gov"
          },
          "license": "https://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "contactPoint": {
        "fn": "Hospice QRP Public Reporting Help Desk",
        "hasEmail": "mailto:HospicePRquestions@cms.hhs.gov"
      },
      "description": "This dataset shows characteristics of hospice providers such as address, phone number, ownership data and more.",
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/18afea60c672e37d2f0d6e8ed984eaa6_1787169953/Hospice_General-Information_Aug2026_2.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospice/HOSPICE_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "identifier": "yc9t-dgbk",
      "issued": "2026-08-07",
      "keyword": [
        "General Information",
        "Address",
        "Location",
        "Quality Reporting Program"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Hospice - General Information",
        "accessURL": "https://data.cms.gov/provider-data/dataset/yc9t-dgbk"
      },
      "modified": "2026-08-19",
      "programCode": [
        "009:000"
      ],
      "publisher": {
        "@type": "Organization",
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          {
            "@type": "Organization",
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        ]
      },
      "released": "2026-08-26",
      "theme": [
        "Hospice care"
      ],
      "title": "Hospice - General Information",
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Healthcare Associated Infections - National",
        "accessURL": "https://data.cms.gov/provider-data/dataset/yd3s-jyhd"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2020-12-10",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Healthcare Associated Infections",
        "MRSA",
        "Surgical Site Infections",
        "Central Line Associated Blood Stream Infections",
        "Catheter Associated Urinary Tract Infections",
        "C.Difficile",
        "National"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "yd3s-jyhd",
      "description": "The Healthcare-Associated Infections (HAI) measures - national data. These measures are developed by Centers for Disease Control and Prevention (CDC) and collected through the National Healthcare Safety Network (NHSN). They provide information on infections that occur while the patient is in the hospital. These infections can be related to devices, such as central lines and urinary catheters, or spread from patient to patient after contact with an infected person or surface. Many healthcare associated infections can be prevented when the hospitals use CDC-recommended infection control steps.",
      "title": "Healthcare Associated Infections - National",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/a87585b27c50c3899eec6a857958a5f0_1785189953/Healthcare_Associated_Infections-National.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "yhkp-cczf",
      "title": "CDC STATE System Tobacco Legislation - Smokefree Campus",
      "description": "1995-2025. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation  –  Smokefree Campuses. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state smokefree indoor air policies in areas such as: Smokefree campuses for private and public colleges and schools (K-12).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Smoking Health",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
            "subOrganizationOf": [
              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-04-01",
      "issued": "2014-07-15",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Legislation"
        }
      ],
      "keyword": [
        "state system",
        "legislation",
        "smokefree campus",
        "policy",
        "osh",
        "tobacco"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
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      "status": "active",
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        "@type": "Document",
        "accessURL": "https://www.cdc.gov/STATESystem/",
        "title": "OSHData Support"
      },
      "distribution": [
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          "title": "CDC STATE System Tobacco Legislation - Smokefree Campus",
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          "accessURL": "https://data.cdc.gov/d/yhkp-cczf",
          "downloadURL": "https://data.cdc.gov/Legislation/CDC-STATE-System-Tobacco-Legislation-Smokefree-Cam/yhkp-cczf/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Open Data Commons Attribution License",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-04-01",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/yhkp-cczf",
            "title": "CDC STATE System Tobacco Legislation - Smokefree Campus"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
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          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
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            }
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        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Outpatient and Ambulatory Surgery Consumer Assessment of Healthcare Providers and Systems (OAS CAHPS) survey for hospital outpatient departments - Facility",
        "accessURL": "https://data.cms.gov/provider-data/dataset/yizn-abxn"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2025-10-14",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Ambulatory Surgical Center",
        "Outpatient",
        "Survey",
        "CAHPS",
        "Surgery",
        "Outpatient Surgery"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
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        "subOrganizationOf": [
          {
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          }
        ]
      },
      "identifier": "yizn-abxn",
      "description": "A list of hospital outpatient department ratings for the Outpatient and Ambulatory Surgery Consumer Assessment of Healthcare Providers and Systems (OAS CAHPS) survey. The OAS CAHPS survey collects information about patients' experiences of care in hospital outpatient departments (HOPDs) and ambulatory surgical centers (ASCs). The data are updated and reported each quarter with data from the most recently completed quarter replacing the oldest quarter of data.",
      "title": "Outpatient and Ambulatory Surgery Consumer Assessment of Healthcare Providers and Systems (OAS CAHPS) survey for hospital outpatient departments - Facility",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/9189f27bb8ab7a4ff8919bdc682bf79a_1785189954/OQR_OAS_CAHPS_BY_HOSPITAL.csv",
          "mediaType": "text/csv",
          "describedBy": {
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            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "identifier": "yjkw-uj5s",
      "title": "PLACES: Census Tract Data (GIS Friendly Format), 2025 release",
      "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey (ACS) 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. These data can be joined with the Census tract 2023 boundary file in a GIS system to produce maps for 40 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES: Local Data for Better Health",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
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              {
                "@type": "Organization",
                "name": "U.S. Department of Health and Human Services"
              }
            ]
          }
        ]
      },
      "accessRights": "public",
      "modified": "2025-12-04",
      "issued": "2020-10-19",
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "500 Cities & Places"
        }
      ],
      "keyword": [
        "health",
        "gis",
        "disability",
        "prevalence",
        "prevention",
        "risk",
        "status",
        "behaviors",
        "census tract",
        "social needs",
        "outcomes",
        "places"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health"
      },
      "rightsHolder": [
        {
          "@type": "Organization",
          "name": "Centers for Disease Control and Prevention (CDC)"
        }
      ],
      "rights": [
        "This data asset is an open government data asset. It is not exempt from disclosure under FOIA. It is a public data asset eligible for disclosure in the Federal Data Catalog."
      ],
      "creator": {
        "@type": "Agent",
        "name": "Centers for Disease Control and Prevention (CDC)"
      },
      "status": "active",
      "describedBy": {
        "@type": "Document",
        "accessURL": "https://www.cdc.gov/nccdphp/dph/",
        "title": "PLACES Public Inquiries"
      },
      "distribution": [
        {
          "@type": "Distribution",
          "title": "PLACES: Census Tract Data (GIS Friendly Format), 2025 release",
          "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey (ACS) 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. These data can be joined with the Census tract 2023 boundary file in a GIS system to produce maps for 40 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "accessURL": "https://data.cdc.gov/d/yjkw-uj5s",
          "downloadURL": "https://data.cdc.gov/500-Cities-Places/PLACES-Census-Tract-Data-GIS-Friendly-Format-2025-/yjkw-uj5s/data_preview",
          "format": "CSV",
          "mediaType": "text/csv",
          "license": "Public Domain",
          "rights": [
            "No rights reserved. This data is in the public domain."
          ],
          "modified": "2025-12-04",
          "describedBy": {
            "@type": "Document",
            "accessURL": "https://data.cdc.gov/d/yjkw-uj5s",
            "title": "PLACES: Census Tract Data (GIS Friendly Format), 2025 release"
          },
          "accessRestriction": [
            {
              "@type": "AccessRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "useRestriction": [
            {
              "@type": "UseRestriction",
              "restrictionStatus": "unrestricted"
            }
          ],
          "accessService": [
            {
              "@type": "DataService",
              "title": "CDC Open Data API",
              "endpointURL": [
                "https://data.cdc.gov/api"
              ],
              "contactPoint": [
                {
                  "@type": "Kind",
                  "fn": "NCCDPHP Informatics",
                  "hasEmail": "mailto:chronicinformatics@cdc.gov"
                }
              ],
              "publisher": {
                "@type": "Organization",
                "name": "Centers for Disease Control and Prevention (CDC)"
              }
            }
          ]
        }
      ],
      "inSeries": [
        {
          "@type": "DatasetSeries",
          "title": "PLACES: Census Tract Data (GIS Friendly Format) Series 2020-2025",
          "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels."
        }
      ],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "Rate PUF - PY2016",
      "identifier": "ymjk-c2ng",
      "description": "The Rate PUF (Rate-PUF) is one of the seven files that make up the Marketplace PUF. The Rate-PUF contains plan-level data on individual rates based on an eligible subscriber’s age, tobacco use, and geographic location. These data either originate from the Rate Table template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).",
      "accessLevel": "public",
      "issued": "2015-11-10T16:26:56Z",
      "modified": "2016-08-15T13:47:14Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "Balaji",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "CSV",
          "format": "csv",
          "mediaType": "text/csv",
          "downloadURL": "https://data.healthcare.gov/datafile/rate-puf-2016.ymjk-c2ng.csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/vnd.tableschema+json",
            "accessURL": "https://data.healthcare.gov/api/1/metastore/schemas/data-dictionary/items/a2d78a0d-1c75-451d-a8fd-772dedded5ae",
            "title": "data.healthcare.gov"
          }
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Complications and Deaths - Hospital",
        "accessURL": "https://data.cms.gov/provider-data/dataset/ynj2-r877"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-05",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Complications",
        "Death",
        "Mortality",
        "Hip Knee",
        "PSI"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "ynj2-r877",
      "description": "Complications and deaths - provider data. This data set includes provider-level data for the hip/knee complication measure, the CMS Patient Safety Indicators, and 30-day death rates.",
      "title": "Complications and Deaths - Hospital",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/6af7c44d77436e5a1caac3ce39a83fe9_1785189947/Complications_and_Deaths-Hospital.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Hospital Value-Based Purchasing (HVBP) - Total Performance Score",
        "accessURL": "https://data.cms.gov/provider-data/dataset/ypbt-wvdk"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-05",
      "@type": "Dataset",
      "modified": "2026-01-26",
      "released": "2026-08-13",
      "keyword": [
        "Value Based Purchasing",
        "Linking Quality to Payment",
        "Total Performance Score",
        "Achievement",
        "Performance",
        "Efficiency and Cost Reduction Domain",
        "Efficiency",
        "Clinical Outcomes",
        "CAHPS",
        "Patient Experience of Care"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "ypbt-wvdk",
      "description": "A list of hospitals participating in the FY 2026 Hospital VBP Program and their domain scores and Total Performance Scores.",
      "title": "Hospital Value-Based Purchasing (HVBP) - Total Performance Score",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/5551d4839c1dd75e3f7fe1310a1e2369_1770163628/hvbp_tps.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Hospital-Acquired Condition (HAC) Reduction Program",
        "accessURL": "https://data.cms.gov/provider-data/dataset/yq43-i98g"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2024-01-08",
      "@type": "Dataset",
      "modified": "2026-01-26",
      "released": "2026-08-13",
      "keyword": [
        "PSI",
        "Complications",
        "Hospital-Acquired Condition",
        "Healthcare Associated Infections",
        "Surgical Site Infections",
        "MRSA",
        "Catheter Associated Urinary Tract Infections",
        "Central Line Associated Blood Stream Infections",
        "C.Difficile"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "yq43-i98g",
      "description": "Hospital-Acquired Condition (HAC) Reduction Program (HACRP) - In October 2014, CMS began reducing Medicare fee-for-service payments for subsection (d) hospitals that rank in the worst-performing quartile with respect to hospital-acquired condition (HAC) quality measures. Hospitals with a Total HAC Score above the 75th percentile of the Total HAC Score distribution will be subject to a 1-percent payment reduction. This table contains hospitals' measure and Total HAC scores. The Total HAC Score is calculated as the equally weighted average of hospitals' individual measure scores.",
      "title": "Hospital-Acquired Condition (HAC) Reduction Program",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/74be67fd6833391f578abb5605d03ce6_1770163605/FY_2026_HAC_Reduction_Program_Hospital.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "ONC Regional Extension Centers (REC) Key Performance Indicators (KPIs) by Grantee",
      "description": "The ONC Regional Extension Centers (REC) Program provides assistance to health care providers to adopt and meaningfully use certified EHR technology. The program, funded through the American Recovery and Reinvestment Act (ARRA) or The Recovery Act, provides grants to organizations, Regional Extension Centers, that assist providers directly in the organization's region. There are 62 unique RECs across the United States. This data set provides federal funding granted to each REC, each REC's program goals, and various metrics on the total providers that have signed up with an REC for assistance, gone live on an EHR, and demonstrated meaningful use of certified EHR technology. This data set is an artifact of ONC's performance measurement and data analysis during the life of ARRA. RECs continue to assist providers to go live and demonstrate meaningful use of EHRs. See ONC's other REC data to track these metrics at the state and county level.",
      "identifier": "ytd2bcc1-rgdn-e58e-os1c-9q7j8rr5qnab",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "ONC Regional Extension Centers (REC) Key Performance Indicators (KPIs) by Grantee landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/onc-regional-extension-centers-rec-key-performance-indicators-kpis-grantee"
      },
      "modified": "2015-06-01",
      "keyword": [
        "health IT",
        "health information",
        "Regional Extension Centers",
        "REC",
        "CEHRT",
        "grantee",
        "EHR",
        "EHR incentive programs",
        "meaningful use",
        "grants"
      ],
      "relation": [
        "https://www.healthit.gov/data/quickstats/regional-extension-centers-rec-priority-primary-care-providers-meaningful-use"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "QHP Landscape PY2014 NM Individual Dental",
      "identifier": "yupm-u9bv",
      "description": "Dataset.",
      "accessLevel": "public",
      "issued": "2013-12-11T00:33:53Z",
      "modified": "2014-08-20T21:56:27Z",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": {
        "fn": "chris.thierer",
        "hasEmail": "mailto:no-reply@data.healthcare.gov"
      },
      "keyword": [
        "healthcare"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "title": "FILE",
          "format": "zip",
          "mediaType": "application/zip",
          "downloadURL": "https://data.healthcare.gov/datafile/NM_Individual_Market_Dental_8_11_14.zip"
        }
      ],
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Timely and Effective Care - Hospital",
        "accessURL": "https://data.cms.gov/provider-data/dataset/yv7e-xc69"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2023-07-05",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Timely and Effective Care",
        "Emergency Department"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "yv7e-xc69",
      "description": "Timely and Effective Care measures - provider data. This data set includes provider-level data for measures of cataract surgery outcome, colonoscopy follow-up, emergency department care, preventive care, and pregnancy and delivery care.",
      "title": "Timely and Effective Care - Hospital",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/0437b5494ac61507ad90f2af6b8085a7_1785189967/Timely_and_Effective_Care-Hospital.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "State Health IT Privacy and Consent Laws and Policies",
      "description": "This data was collected by the Office of the National Coordinator for Health IT in coordination with Clinovations and the George Washington University Milken Institute of Public Health. ONC and its partners collected the data through research of state government and health information organization websites. The dataset provides policy and law details for four distinct policies or laws, and, where available, hyperlinks to official state records or websites. These four policies or laws are: 1) State Health Information Exchange (HIE) Consent Policies; 2) State-Sponsored HIE Consent Policies; 3) State Laws Requiring Authorization to Disclose Mental Health Information for Treatment, Payment, and Health Care Operations (TPO); and 4) State Laws that Apply a Minimum Necessary Standard to Treatment Disclosures of Mental Health Information.",
      "identifier": "yw73pryi-h3or-9rhg-jpgp-dofus7swvmx1",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "State Health IT Privacy and Consent Laws and Policies landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/state-health-it-privacy-and-consent-laws-and-policies"
      },
      "modified": "2017-07-12",
      "keyword": [
        "health information technology",
        "hit",
        "health IT",
        "healthit",
        "health care",
        "healthcare",
        "consent",
        "privacy",
        "consent law",
        "state",
        "HIE",
        "Health information exchange",
        "HIE consent policies",
        "State-sponsored HIE Consent policies",
        "state laws",
        "authorization",
        "mental health information",
        "minimum necessary standard",
        "treatment",
        "payment",
        "health care operations",
        "TPO",
        "patient information",
        "personal health information"
      ],
      "relation": [
        "https://www.healthit.gov/data/apps/state-health-it-privacy-and-consent-laws-and-policies"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Complications and Unplanned Hospital Visits - PPS-Exempt Cancer Hospital - Hospital",
        "accessURL": "https://data.cms.gov/provider-data/dataset/z8ax-x9j1"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2024-07-31",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Cancer",
        "Readmissions",
        "Emergency Department",
        "PPS-Exempt Cancer Hospital Quality Reporting",
        "Complications"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "z8ax-x9j1",
      "description": "Prospective Payment System (PPS)-Exempt Cancer Hospital Quality Reporting (PCHQR) Complications and Unplanned Hospital Visits. This dataset includes the percentage of patients who are receiving PCH-based outpatient chemotherapy treatment for all cancer types except leukemia who were admitted to the hospital or visited the emergency department for one of 10 conditions within 30 days after treatment. The dataset also includes the rate at which cancer patients have unplanned readmissions within 30 days of discharge from an eligible index admission. Finally, the dataset also includes the analysis of complications of a prostatectomy by comparing outcomes at the hospital/facility level during the year after prostate-directed surgery.",
      "title": "Complications and Unplanned Hospital Visits - PPS-Exempt Cancer Hospital - Hospital",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/bc386a698d7a9b8d09bf37a73371a899_1785189956/PCH_Complications_Unplanned_Hospital_Visits_HOSPITAL.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Rural Emergency Hospital Unplanned Hospital Visits - Hospital",
        "accessURL": "https://data.cms.gov/provider-data/dataset/zez1-ka2w"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2026-01-26",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Rural",
        "Emergency Hospital",
        "Emergency Department",
        "Unplanned Hospital Visits"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "zez1-ka2w",
      "description": "This data set includes provider-level data for unplanned hospital visits quality measures included under the Rural Emergency Hospital Quality Reporting (REHQR) Program.",
      "title": "Rural Emergency Hospital Unplanned Hospital Visits - Hospital",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/8058b83869a5ba155b84c3227e60f61c_1785189978/REH_Unplanned_Hospital_Visits-Hospital.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "accessLevel": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Rural Emergency Hospital Outpatient Imaging Efficiency - National",
        "accessURL": "https://data.cms.gov/provider-data/dataset/zt3q-3e1z"
      },
      "bureauCode": [
        "009:38"
      ],
      "issued": "2026-01-26",
      "@type": "Dataset",
      "modified": "2026-07-22",
      "released": "2026-08-13",
      "keyword": [
        "Rural",
        "Emergency Hospital",
        "Emergency Department",
        "Outpatient",
        "CT Scans",
        "National"
      ],
      "contactPoint": {
        "fn": "Hospital Compare",
        "hasURL": "https://cmsqualitysupport.servicenowservices.com/qnet_qa",
        "hasEmail": "mailto:cmsqualitysupport@servicenowservices.com"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of Communications (OC)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare & Medicaid Services (CMS)"
          }
        ]
      },
      "identifier": "zt3q-3e1z",
      "description": "This data set includes national-level data for outpatient imaging efficiency quality measures included under the Rural Emergency Hospital Quality Reporting (REHQR) Program.",
      "title": "Rural Emergency Hospital Outpatient Imaging Efficiency - National",
      "programCode": [
        "009:000"
      ],
      "distribution": [
        {
          "@type": "Distribution",
          "downloadURL": "https://data.cms.gov/provider-data/sites/default/files/resources/400efdf48b2a73bfef6217d28bf082e3_1785189978/REH_Outpatient_Imaging_Efficiency-National.csv",
          "mediaType": "text/csv",
          "describedBy": {
            "@type": "Distribution",
            "mediaType": "application/pdf",
            "accessURL": "https://data.cms.gov/provider-data/sites/default/files/data_dictionaries/hospital/HOSPITAL_Data_Dictionary.pdf",
            "title": "data.cms.gov"
          }
        }
      ],
      "theme": [
        "Hospitals"
      ],
      "accessRights": "public",
      "inventoried": "2026-09-27"
    },
    {
      "@type": "Dataset",
      "title": "ONC Regional Extension Centers (REC) Key Performance Indicators (KPIs) by State",
      "description": "The ONC Regional Extension Centers (REC) Program provides assistance to health care providers to adopt and meaningfully use certified EHR technology. The program, funded through the American Recovery and Reinvestment Act (ARRA) or The Recovery Act, provides grants to organizations, Regional Extension Centers, that assist providers directly in the organization's region. There are 62 unique RECs across the United States. This data set provides county-level health care professional participation in the REC Program. You can track metrics on the total primary care and non-primary care providers that signed up for REC assistance, gone live with an EHR, and demonstrated meaningful use of certified EHR technology. See ONC's REC data by state to track these metrics at the state level.",
      "identifier": "zyaifc3t-i181-2wnr-j3fu-j6qo40bbttxx",
      "accessRights": "public",
      "accessLevel": "public",
      "contactPoint": {
        "@type": "Kind",
        "fn": "ONC Data",
        "hasEmail": "mailto:onc_data@hhs.gov",
        "organization-name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "publisher": {
        "@type": "Organization",
        "name": "Office of the National Coordinator for Health Information Technology (ONC)"
      },
      "bureauCode": [
        "009:00"
      ],
      "programCode": [
        "009:110"
      ],
      "landingPage": {
        "@type": "Document",
        "title": "ONC Regional Extension Centers (REC) Key Performance Indicators (KPIs) by State landing page",
        "accessURL": "https://www.healthit.gov/data/datasets/onc-regional-extension-centers-rec-key-performance-indicators-kpis-state"
      },
      "modified": "2015-06-01",
      "keyword": [
        "health information technology",
        "health IT",
        "REC",
        "regional extension centers",
        "indicators",
        "health IT data",
        "state"
      ],
      "relation": [
        "https://www.healthit.gov/data/quickstats/percent-rec-enrolled-critical-access-and-rural-hospitals-state-demonstrating",
        "https://www.healthit.gov/data/quickstats/percent-rec-enrolled-priority-primary-care-providers-ppcps-state-demonstrating"
      ],
      "distribution": [],
      "inventoried": "2026-09-27"
    }
  ],
  "datasetSeries": [
    {
      "@type": "DatasetSeries",
      "title": "500 Cities Complete Dataset Series, 2016-2019",
      "description": "This is the complete dataset for the 500 Cities project from 2016-2019. Dataset in this series includes model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "500 Cities Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "modified": "2019-12-05",
      "accrualPeriodicity": "continual",
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-11-22",
          "endDate": "2019-12-05"
        }
      ],
      "first": {
        "@type": "Dataset",
        "identifier": "9z78-nsfp",
        "title": "500 Cities: Local Data for Better Health, 2016 release",
        "description": "This is the complete dataset for the 500 Cities project 2016 release. This dataset includes 2013, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2013, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2009-2013, 2010-2014 estimates. More information about the methodology can be found at www.cdc.gov/500cities.\nNote: During the process of uploading the 2015 estimates, CDC found a data discrepancy in the published 500 Cities data for the 2014 city-level obesity crude prevalence estimates caused when reformatting the SAS data file to the open data format. . The small area estimation model and code were correct. This data discrepancy only affected the 2014 city-level obesity crude prevalence estimates on the Socrata open data file, the GIS-friendly data file, and the 500 Cities online application. The other obesity estimates (city-level age-adjusted and tract-level) and the Mapbooks were not affected. No other measures were affected. The correct estimates are update in this dataset on October 25, 2017.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "6vp6-wxuq",
        "title": "500 Cities: Local Data for Better Health, 2019 release",
        "description": "This is the complete dataset for the 500 Cities project 2019 release. This dataset includes 2017, 2016 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2017, 2016), Census Bureau 2010 census population data, and American Community Survey (ACS) 2013-2017, 2012-2016 estimates. Because some questions are only asked every other year in the BRFSS, there are 7 measures (all teeth lost, dental visits, mammograms, pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) from the 2016 BRFSS that are the same in the 2019 release as the previous 2018 release. More information about the methodology can be found at www.cdc.gov/500cities.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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              "@type": "Organization",
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                  "name": "U.S. Department of Health and Human Services"
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              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "500 Cities: Census Tract-level Data (GIS Friendly Format) Series 2016-2019",
      "description": "500 cities project census tract-level data from 2016-209 in GIS-friendly format.  Dataset can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "500 Cities Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "modified": "2019-12-05",
      "accrualPeriodicity": "continual",
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-11-22",
          "endDate": "2019-12-05"
        }
      ],
      "first": {
        "@type": "Dataset",
        "identifier": "5mtz-k78d",
        "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2016 release",
        "description": "2014, 2013. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "k86t-wghb",
        "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2019 release",
        "description": "2017, 2016. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. There are 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
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        "publisher": {
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          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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                }
              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "500 Cities: City-level Data (GIS Friendly Format) Series, 2016-2019",
      "description": "500 cities project city-level data from 22016-2019 in GIS-friendly format. Dataset can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "500 Cities Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "modified": "2019-12-05",
      "accrualPeriodicity": "continual",
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-11-22",
          "endDate": "2019-12-05"
        }
      ],
      "first": {
        "@type": "Dataset",
        "identifier": "k56w-7tny",
        "title": "500 Cities: City-level Data (GIS Friendly Format), 2016 release",
        "description": "2014, 2013. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "dxpw-cm5u",
        "title": "500 Cities: City-level Data (GIS Friendly Format), 2019 release",
        "description": "2017, 2016. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. There are 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
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              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "@id": "https://www.usaging.org/aaasurvey#aaa-national-survey",
      "identifier": "https://www.usaging.org/aaasurvey#aaa-national-survey",
      "title": "AAA National Survey Chartbooks and Reports",
      "description": "Dataset series for USAging's recurring National Survey of Area Agencies on Aging, conducted regularly since 2007. Covers 2009 through 2025 as published on the AAA National Survey page.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "USAging",
          "hasEmail": "mailto:info@usaging.org"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "USAging"
      },
      "seriesMember": [
        {
          "@type": "Dataset",
          "@id": "https://www.usaging.org/aaasurvey#2009",
          "identifier": "https://www.usaging.org/aaasurvey#2009",
          "title": "AAA National Survey Chartbooks and Reports — 2009",
          "description": "The 2009 edition of the National Survey of Area Agencies on Aging (AAA), conducted by USAging (with funding from the U.S. Administration for Community Living) in partnership with the Scripps Gerontology Center at Miami University. Captures Aging Network trends including AAA budgets, staffing, servic",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "USAging",
              "hasEmail": "mailto:info@usaging.org"
            }
          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://www.usaging.org/aaasurvey#2011",
          "identifier": "https://www.usaging.org/aaasurvey#2011",
          "title": "AAA National Survey Chartbooks and Reports — 2011",
          "description": "The 2011 edition of the National Survey of Area Agencies on Aging (AAA), conducted by USAging (with funding from the U.S. Administration for Community Living) in partnership with the Scripps Gerontology Center at Miami University. Captures Aging Network trends including AAA budgets, staffing, servic",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "USAging",
              "hasEmail": "mailto:info@usaging.org"
            }
          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://www.usaging.org/aaasurvey#2014",
          "identifier": "https://www.usaging.org/aaasurvey#2014",
          "title": "AAA National Survey Chartbooks and Reports — 2014",
          "description": "The 2014 edition of the National Survey of Area Agencies on Aging (AAA), conducted by USAging (with funding from the U.S. Administration for Community Living) in partnership with the Scripps Gerontology Center at Miami University. Captures Aging Network trends including AAA budgets, staffing, servic",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "USAging",
              "hasEmail": "mailto:info@usaging.org"
            }
          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://www.usaging.org/aaasurvey#2017",
          "identifier": "https://www.usaging.org/aaasurvey#2017",
          "title": "AAA National Survey Chartbooks and Reports — 2017",
          "description": "The 2017 edition of the National Survey of Area Agencies on Aging (AAA), conducted by USAging (with funding from the U.S. Administration for Community Living) in partnership with the Scripps Gerontology Center at Miami University. Captures Aging Network trends including AAA budgets, staffing, servic",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "USAging",
              "hasEmail": "mailto:info@usaging.org"
            }
          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://www.usaging.org/aaasurvey#2020",
          "identifier": "https://www.usaging.org/aaasurvey#2020",
          "title": "AAA National Survey Chartbooks and Reports — 2020",
          "description": "The 2020 edition of the National Survey of Area Agencies on Aging (AAA), conducted by USAging (with funding from the U.S. Administration for Community Living) in partnership with the Scripps Gerontology Center at Miami University. Captures Aging Network trends including AAA budgets, staffing, servic",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "USAging",
              "hasEmail": "mailto:info@usaging.org"
            }
          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://www.usaging.org/aaasurvey#2023",
          "identifier": "https://www.usaging.org/aaasurvey#2023",
          "title": "AAA National Survey Chartbooks and Reports — 2023",
          "description": "The 2023 edition of the National Survey of Area Agencies on Aging (AAA), conducted by USAging (with funding from the U.S. Administration for Community Living) in partnership with the Scripps Gerontology Center at Miami University. Captures Aging Network trends including AAA budgets, staffing, servic",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "USAging",
              "hasEmail": "mailto:info@usaging.org"
            }
          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://www.usaging.org/aaasurvey#2025",
          "identifier": "https://www.usaging.org/aaasurvey#2025",
          "title": "AAA National Survey Chartbooks and Reports — 2025",
          "description": "The 2025 edition of the National Survey of Area Agencies on Aging (AAA), conducted by USAging (with funding from the U.S. Administration for Community Living) in partnership with the Scripps Gerontology Center at Miami University. Captures Aging Network trends including AAA budgets, staffing, servic",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "USAging",
              "hasEmail": "mailto:info@usaging.org"
            }
          ]
        }
      ],
      "first": {
        "@type": "Dataset",
        "@id": "https://www.usaging.org/aaasurvey#2009",
        "identifier": "https://www.usaging.org/aaasurvey#2009",
        "title": "AAA National Survey Chartbooks and Reports — 2009",
        "description": "The 2009 edition of the National Survey of Area Agencies on Aging (AAA), conducted by USAging (with funding from the U.S. Administration for Community Living) in partnership with the Scripps Gerontology Center at Miami University. Captures Aging Network trends including AAA budgets, staffing, servic",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "USAging",
            "hasEmail": "mailto:info@usaging.org"
          }
        ]
      },
      "last": {
        "@type": "Dataset",
        "@id": "https://www.usaging.org/aaasurvey#2025",
        "identifier": "https://www.usaging.org/aaasurvey#2025",
        "title": "AAA National Survey Chartbooks and Reports — 2025",
        "description": "The 2025 edition of the National Survey of Area Agencies on Aging (AAA), conducted by USAging (with funding from the U.S. Administration for Community Living) in partnership with the Scripps Gerontology Center at Miami University. Captures Aging Network trends including AAA budgets, staffing, servic",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "USAging",
            "hasEmail": "mailto:info@usaging.org"
          }
        ]
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2009-01-01",
          "endDate": "2025-12-31"
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    },
    {
      "@id": "https://data.cms.gov/data-api/v1/dataset/1cd9eded-d2c9-4215-a064-aac6dae3b714/data",
      "@type": "DatasetSeries",
      "title": "ACO REACH Aligned Beneficiaries",
      "description": "The Accountable Care Organization (ACO) REACH Aligned Beneficiary Public Use File (PUF) data details Medicare Beneficiaries aligned to the ACO REACH Model, formerly Global and Professional Direct Contracting (GPDC) Model, including counties, eligibility months and total aligned beneficiaries. This data is redacted and does not include identifiable information.",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare and Medicaid Services (CMS)"
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        ]
      },
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACO REACH - CMMI",
          "hasEmail": "mailto:ACOREACH@cms.hhs.gov"
        }
      ],
      "identifier": "https://data.cms.gov/data-api/v1/dataset/1cd9eded-d2c9-4215-a064-aac6dae3b714/data",
      "accessRights": "public",
      "sourceSite": "data.cms.gov",
      "sourceCatalog": "https://data.cms.gov/data.json",
      "language": [
        "en"
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2021-01-01",
          "endDate": "2024-12-31"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "ACO REACH Aligned Beneficiaries landing page",
        "accessURL": "https://data.cms.gov/cms-innovation-center-programs/accountable-care-models/aco-reach-aligned-beneficiaries"
      },
      "describedBy": {
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          "description": "The Annual Disability Statistics Compendium — a summary of statistics about people with disabilities and the government programs that serve them, covering prevalence, employment, earnings, education, health, and participation in disability income and social insurance programs.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Center for Research on Disability, Institute on Disability, University of New Hampshire",
              "hasEmail": "mailto:disability.statistics@unh.edu"
            }
          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://www.researchondisability.org/annual-disability-statistics-collection#compendium-2021",
          "identifier": "https://www.researchondisability.org/annual-disability-statistics-collection#compendium-2021",
          "title": "2021 Disability Statistics Compendium (ADSC)",
          "description": "The Annual Disability Statistics Compendium — a summary of statistics about people with disabilities and the government programs that serve them, covering prevalence, employment, earnings, education, health, and participation in disability income and social insurance programs.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Center for Research on Disability, Institute on Disability, University of New Hampshire",
              "hasEmail": "mailto:disability.statistics@unh.edu"
            }
          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://www.researchondisability.org/annual-disability-statistics-collection#compendium-2023",
          "identifier": "https://www.researchondisability.org/annual-disability-statistics-collection#compendium-2023",
          "title": "2023 Disability Statistics Compendium (ADSC)",
          "description": "The Annual Disability Statistics Compendium — a summary of statistics about people with disabilities and the government programs that serve them, covering prevalence, employment, earnings, education, health, and participation in disability income and social insurance programs.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Center for Research on Disability, Institute on Disability, University of New Hampshire",
              "hasEmail": "mailto:disability.statistics@unh.edu"
            }
          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://www.researchondisability.org/annual-disability-statistics-collection#compendium-2024",
          "identifier": "https://www.researchondisability.org/annual-disability-statistics-collection#compendium-2024",
          "title": "2024 Disability Statistics Compendium (ADSC)",
          "description": "The Annual Disability Statistics Compendium — a summary of statistics about people with disabilities and the government programs that serve them, covering prevalence, employment, earnings, education, health, and participation in disability income and social insurance programs.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Center for Research on Disability, Institute on Disability, University of New Hampshire",
              "hasEmail": "mailto:disability.statistics@unh.edu"
            }
          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://www.researchondisability.org/annual-disability-statistics-collection#compendium-2025",
          "identifier": "https://www.researchondisability.org/annual-disability-statistics-collection#compendium-2025",
          "title": "2025 Disability Statistics Compendium (ADSC)",
          "description": "The Annual Disability Statistics Compendium — a summary of statistics about people with disabilities and the government programs that serve them, covering prevalence, employment, earnings, education, health, and participation in disability income and social insurance programs.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Center for Research on Disability, Institute on Disability, University of New Hampshire",
              "hasEmail": "mailto:disability.statistics@unh.edu"
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          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://www.researchondisability.org/annual-disability-statistics-collection#compendium-2026",
          "identifier": "https://www.researchondisability.org/annual-disability-statistics-collection#compendium-2026",
          "title": "2026 Disability Statistics Compendium (ADSC)",
          "description": "The Annual Disability Statistics Compendium — a summary of statistics about people with disabilities and the government programs that serve them, covering prevalence, employment, earnings, education, health, and participation in disability income and social insurance programs.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Center for Research on Disability, Institute on Disability, University of New Hampshire",
              "hasEmail": "mailto:disability.statistics@unh.edu"
            }
          ]
        }
      ]
    },
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      "identifier": "https://agid.acl.gov/reports#national-data-tables",
      "title": "AGID National Data Tables",
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        {
          "@type": "Kind",
          "fn": "AGID Help Desk",
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      ],
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          {
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          "identifier": "https://agid.acl.gov/reports#ffy-2011",
          "title": "AGID National Data Tables — FFY 2011",
          "description": "National-level summary data tables for federal fiscal year 2011, published by AGID as part of the recurring AGID National Data Tables collection.",
          "contactPoint": [
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          "identifier": "https://agid.acl.gov/reports#ffy-2012",
          "title": "AGID National Data Tables — FFY 2012",
          "description": "National-level summary data tables for federal fiscal year 2012, published by AGID as part of the recurring AGID National Data Tables collection.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "AGID Help Desk",
              "hasEmail": "mailto:AGIDHelp@acl.hhs.gov"
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        },
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          "@type": "Dataset",
          "@id": "https://agid.acl.gov/reports#ffy-2013",
          "identifier": "https://agid.acl.gov/reports#ffy-2013",
          "title": "AGID National Data Tables — FFY 2013",
          "description": "National-level summary data tables for federal fiscal year 2013, published by AGID as part of the recurring AGID National Data Tables collection.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "AGID Help Desk",
              "hasEmail": "mailto:AGIDHelp@acl.hhs.gov"
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          ]
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          "@type": "Dataset",
          "@id": "https://agid.acl.gov/reports#ffy-2014",
          "identifier": "https://agid.acl.gov/reports#ffy-2014",
          "title": "AGID National Data Tables — FFY 2014",
          "description": "National-level summary data tables for federal fiscal year 2014, published by AGID as part of the recurring AGID National Data Tables collection.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "AGID Help Desk",
              "hasEmail": "mailto:AGIDHelp@acl.hhs.gov"
            }
          ]
        },
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          "@type": "Dataset",
          "@id": "https://agid.acl.gov/reports#ffy-2015",
          "identifier": "https://agid.acl.gov/reports#ffy-2015",
          "title": "AGID National Data Tables — FFY 2015",
          "description": "National-level summary data tables for federal fiscal year 2015, published by AGID as part of the recurring AGID National Data Tables collection.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "AGID Help Desk",
              "hasEmail": "mailto:AGIDHelp@acl.hhs.gov"
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          ]
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          "@type": "Dataset",
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          "identifier": "https://agid.acl.gov/reports#ffy-2016",
          "title": "AGID National Data Tables — FFY 2016",
          "description": "National-level summary data tables for federal fiscal year 2016, published by AGID as part of the recurring AGID National Data Tables collection.",
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              "fn": "AGID Help Desk",
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        },
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          "identifier": "https://agid.acl.gov/reports#ffy-2017",
          "title": "AGID National Data Tables — FFY 2017",
          "description": "National-level summary data tables for federal fiscal year 2017, published by AGID as part of the recurring AGID National Data Tables collection.",
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              "fn": "AGID Help Desk",
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          "identifier": "https://agid.acl.gov/reports#ffy-2018",
          "title": "AGID National Data Tables — FFY 2018",
          "description": "National-level summary data tables for federal fiscal year 2018, published by AGID as part of the recurring AGID National Data Tables collection.",
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              "fn": "AGID Help Desk",
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          "identifier": "https://agid.acl.gov/reports#ffy-2019",
          "title": "AGID National Data Tables — FFY 2019",
          "description": "National-level summary data tables for federal fiscal year 2019, published by AGID as part of the recurring AGID National Data Tables collection.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "AGID Help Desk",
              "hasEmail": "mailto:AGIDHelp@acl.hhs.gov"
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          ]
        },
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          "@type": "Dataset",
          "@id": "https://agid.acl.gov/reports#ffy-2020",
          "identifier": "https://agid.acl.gov/reports#ffy-2020",
          "title": "AGID National Data Tables — FFY 2020",
          "description": "National-level summary data tables for federal fiscal year 2020, published by AGID as part of the recurring AGID National Data Tables collection.",
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              "@type": "Kind",
              "fn": "AGID Help Desk",
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        },
        {
          "@type": "Dataset",
          "@id": "https://agid.acl.gov/reports#ffy-2021",
          "identifier": "https://agid.acl.gov/reports#ffy-2021",
          "title": "AGID National Data Tables — FFY 2021",
          "description": "National-level summary data tables for federal fiscal year 2021, published by AGID as part of the recurring AGID National Data Tables collection.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "AGID Help Desk",
              "hasEmail": "mailto:AGIDHelp@acl.hhs.gov"
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          ]
        }
      ],
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        "@type": "Dataset",
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        "identifier": "https://agid.acl.gov/reports#ffy-2011",
        "title": "AGID National Data Tables — FFY 2011",
        "description": "National-level summary data tables for federal fiscal year 2011, published by AGID as part of the recurring AGID National Data Tables collection.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "AGID Help Desk",
            "hasEmail": "mailto:AGIDHelp@acl.hhs.gov"
          }
        ]
      },
      "last": {
        "@type": "Dataset",
        "@id": "https://agid.acl.gov/reports#ffy-2021",
        "identifier": "https://agid.acl.gov/reports#ffy-2021",
        "title": "AGID National Data Tables — FFY 2021",
        "description": "National-level summary data tables for federal fiscal year 2021, published by AGID as part of the recurring AGID National Data Tables collection.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "AGID Help Desk",
            "hasEmail": "mailto:AGIDHelp@acl.hhs.gov"
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        ]
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-10-01",
          "endDate": "2022-09-30"
        }
      ]
    },
    {
      "@type": "DatasetSeries",
      "title": "AHA-CDC-NIOSH/NPPTL-11b",
      "description": "Physiological data will be obtained by sensors attached to human subjects and subjective data through survey questions."
    },
    {
      "@type": "DatasetSeries",
      "title": "AHA-CDC-NIOSH/NPPTL-11d",
      "description": "maintenance of applications to register certification marks for National Institute for Occupational Safety and Health"
    },
    {
      "@type": "DatasetSeries",
      "title": "AHA-CDC-NIOSH/NPPTL-11e",
      "description": "N/A / contract canceled prior to data collection"
    },
    {
      "@type": "DatasetSeries",
      "title": "AHA-CDC-NIOSH/NPPTL-18",
      "description": "For this project, there is no purchasing of data. For the intial release of the app as a minimum viable product (MVP), the app will output the user's NIOSH Bivariate Panel cell number (based on face length and width measurements) and the NIOSH Principal Component Analysis (PCA) Panel panel cell number and head size (based on 10 facial measurements) data. The app will also output a list of NIOSH approved respirators with a high likelyhood of fitting. Future app release beyond the MVP, will allow the user to send their data back to NIOSH for future research on respirator sizing."
    },
    {
      "@type": "DatasetSeries",
      "title": "AHA-CDC-NIOSH/NPPTL-4",
      "description": "N/A / contract canceled prior to data collection"
    },
    {
      "@type": "DatasetSeries",
      "title": "AHA-CDC-NIOSH/NPPTL-6",
      "description": "Simulation data from the 3D model have been collected, and experimental validation is currently underway."
    },
    {
      "@type": "DatasetSeries",
      "title": "AHRF",
      "description": "Area Health Resource Files Data Series",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Yahtyng Sheu",
          "hasEmail": "mailto:YSheu@hrsa.gov"
        }
      ],
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        {
          "@type": "Location",
          "prefLabel": "National"
        }
      ],
      "modified": "2025-12-18",
      "accrualPeriodicity": "annually",
      "publisher": {
        "@type": "Organization",
        "name": "Bureau of Health Workforce (BHW)"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1999-01-01",
          "endDate": "2025-12-31"
        }
      ],
      "@id": "https://data.hrsa.gov/DataDownload/AHRF/AHRF1999.zip"
    },
    {
      "@type": "DatasetSeries",
      "title": "AHRQ Digital Healthcare Research Year in Review Series",
      "description": "Annual \"Year in Review\" reports published by AHRQ's Digital Healthcare Research (DHR) Program (formerly the AHRQ Health IT Program) summarizing that year's funded research activities, outcomes, and program highlights. Confirmed annual editions span at least 2018 through 2023; the program's public annual reporting is understood to extend back further and should be confirmed and back-filled by the DHR program team.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "AHRQ Digital Healthcare Research (DHR) Program",
          "hasEmail": "mailto:DigitalHealthcareResearch@ahrq.hhs.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "accrualPeriodicity": "annually",
      "publisher": {
        "@type": "Organization",
        "name": "Agency for Healthcare Research and Quality (AHRQ) - Center for Evidence and Practice Improvement (CEPI), Division of Digital Healthcare Research (DHR)"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-10-01",
          "endDate": "2023-09-30"
        }
      ],
      "@id": "https://digital.ahrq.gov/2018-year-review",
      "first": {
        "@type": "Dataset",
        "identifier": "https://digital.ahrq.gov/2018-year-review",
        "title": "AHRQ Health IT Program, 2018 Year in Review",
        "description": "Annual report summarizing AHRQ Health IT Program (now the Digital Healthcare Research Program) funded research activities, outcomes, and program highlights for 2018.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "AHRQ Digital Healthcare Research (DHR) Program",
            "hasEmail": "mailto:DigitalHealthcareResearch@ahrq.hhs.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "Center for Evidence and Practice Improvement (CEPI)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Agency for Healthcare Research and Quality (AHRQ)",
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                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "https://digital.ahrq.gov/program-overview/research-reports/2023-year-review",
        "title": "AHRQ Digital Healthcare Research Program, 2023 Year in Review",
        "description": "Annual report, titled Improving Healthcare Through AHRQ's Digital Healthcare Research Program, summarizing 2023 activities across 16 research stories. In 2023 the DHR Program managed 101 grants and 6 research contracts, with $76.3 million invested in grants and contracts across the lifetime of the projects.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "AHRQ Digital Healthcare Research (DHR) Program",
            "hasEmail": "mailto:DigitalHealthcareResearch@ahrq.hhs.gov"
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        ],
        "publisher": {
          "@type": "Organization",
          "name": "Center for Evidence and Practice Improvement (CEPI)",
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              "@type": "Organization",
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                {
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                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "AIRR Data Commons (ADC)",
      "description": "The AIRR Data Commons has grown from just under 400 million BCR and TCR sequence annotations (unique rearrangements) in late 2018 to its current size of ten distributed repositories with over 90 studies and over 11,000 repertoires, and 5.6 billion sequence annotations available for data exploration and download.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Allergy and Infectious Diseases (NIAID)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "AMP Alzheimer’s Disease (AD)",
      "description": "The Accelerating Medicines Partnership (AMP) Program is a public-private partnership between the National Institutes of Health (NIH), the U.S. Food and Drug Administration (FDA), multiple biopharmaceutical and life science companies, and nonprofit organizations to transform the current model for developing new diagnostics and treatments by jointly identifying and validating promising biological targets for therapeutics. The ultimate goal is to increase the number of new diagnostics and therapies for patients and reduce the time and cost of developing them.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute on Aging (NIA)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "AMP Schizophrenia (SCZ)",
      "description": "The AMP Schizophrenia (SCZ) program was launched in 2020 to address the critical need for more effective treatments for people with schizophrenia and related mental health conditions.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Mental Health (NIMH)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Accelerating Medicine Partnership in Amyotrophic Lateral Sclerosis (AMP-ALS), ALS Knowledge Portal",
      "description": "The AMP ALS Program is a collaborative effort that unites resources and expertise from the National Institutes of Health (NIH), academia, life science companies, foundations, patient-focused organizations, and research nonprofits. Its goal is to address the significant challenges in diagnosing, understanding, and treating amyotrophic lateral sclerosis (ALS), a progressive and fatal neurological disease. AMP ALS is building the largest data resource for ALS research to accelerate the discovery of biomarkers and clinical outcome assessments, enabling earlier diagnosis and faster development of effective treatments.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Neurological Disorders and Stroke (NINDS)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Accelerating Medicines Partnership in Common Metabolic Diseases Knowledge Portal (AMP-CMDKP)",
      "description": "The Common Metabolic Diseases Knowledge Portal (CMDKP) aggregates and analyzes genetic association results, epigenomic annotations, and results of computational prediction methods to provide data, visualizations, and tools in an open-access portal. The aim of the CMDKP is to facilitate research on the molecular basis of complex diseases, including type 1 and type 2 diabetes, cardiovascular and cerebrovascular disease, and sleep disorders.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Accelerating Medicines Partnership in Parkinson's Disease (AMP-PD)",
      "description": "The Accelerating Medicines Partnership® (AMP®) program is a public-private partnership between the National Institutes of Health (NIH), multiple biopharmaceutical and life sciences companies, and non-profit organizations. Managed through the Foundation for the NIH (FNIH), AMP aims to identify and validate the most promising biological targets for therapeutics. Disease areas covered by AMP at the launch of this site include Alzheimer’s disease, type 2 diabetes, the autoimmune disorders of rheumatoid arthritis and systemic lupus erythematosus (lupus) and Parkinson’s disease. Additional disease areas are being evaluated for addition to AMP.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Neurological Disorders and Stroke (NINDS)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Accelerating Medicines Partnership in Type 2 Diabetes Knowledge Portal (AMP-T2D)",
      "description": "The T2D Knowledge Portal enables browsing, searching, and analysis of human genetic information linked to type 2 diabetes and related traits, while protecting the integrity and confidentiality of the underlying data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "AccessClinicalData@NIAID",
      "description": "AccessClinicalData@NIAID is a NIAID cloud-based, secure data platform that enables sharing of and access to data sets from NIAID COVID-19 and other sponsored clinical trials for the basic and Clinical researchcommunity.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Allergy and Infectious Diseases (NIAID)"
      }
    },
    {
      "@id": "https://data.cms.gov/data-api/v1/dataset/9767cb68-8ea9-4f0b-8179-9431abc89f11/data",
      "@type": "DatasetSeries",
      "title": "Accountable Care Organization Participants",
      "description": "The Accountable Care Organization (ACO) Participants data presents overview information on ACO participants in the Medicare Shared Savings Program (Shared Savings Program), including their name, track status, number of years in the program, and contact information of key personnel.",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare and Medicaid Services (CMS)"
          }
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    },
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      "contactPoint": [
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          "@type": "Kind",
          "fn": "Cecilia Hahn",
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        "@type": "Organization",
        "name": "Agency for Healthcare Research and Quality (AHRQ)"
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    },
    {
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      "title": "AphasiaBank",
      "description": "AphasiaBank is a shared database of multimedia interactions for the study of communication in aphasia. Access to the data in AphasiaBank is password protected and restricted to members of the AphasiaBank consortium group.",
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        "@type": "Organization",
        "name": "National Institute on Deafness and Other Communication Disorders (NIDCD)"
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    },
    {
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      "title": "Arthritis and Autoimmune and Related Diseases Knowledge Portal (ARK Portal)",
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          "fn": "Office of Data Science Strategy (ODSS)",
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        "@type": "Organization",
        "name": "National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)"
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    {
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      "title": "Association to Function Knowledge Portal (A2FKP)",
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          "fn": "Office of Data Science Strategy (ODSS)",
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        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)"
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    },
    {
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      "title": "Atlas of Regulatory Variants in Diseases (ARVID)",
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      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)"
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    },
    {
      "@type": "DatasetSeries",
      "title": "BHW Program Applicant and Award Data",
      "description": "BHW Program Applicant and Award Data",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Carla Piwinsky",
          "hasEmail": "mailto:CPiwinsky@HRSA.Gov"
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      ],
      "spatial": [
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          "@type": "Location",
          "prefLabel": "National"
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      ],
      "modified": "2025-12-30",
      "accrualPeriodicity": "annually",
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        "@type": "Organization",
        "name": "Bureau of Health Workforce (BHW)"
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      "temporal": [
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          "startDate": "2020-01-01",
          "endDate": "2025-12-31"
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    },
    {
      "@type": "DatasetSeries",
      "title": "BRAIN Initiative - Cell Atlas Network (BICAN)",
      "description": "The BRAIN Initiative® Cell Atlas Network (BICAN) is a collaborative effort between neuroscientists, computational biologists and software engineers to create a comprehensive atlas of the human brain. Supported by the U.S. BRAIN Initiative, we are dedicated to advancing our knowledge of the brain by gathering and sharing new data that allows us to develop the “parts list” of the brain, detailing the vast array of neurons and non-neuronal cells in the human brain. The BICAN continues the work of the BICCN consortium.",
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          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
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      ],
      "publisher": {
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        "name": "National Institute of Mental Health (NIMH)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Bacterial and Viral Bioinformatics Resource Center (BV-BRC)",
      "description": "The Bacterial and Viral Bioinformatics Resource Center (BV-BRC) is an information system designed to support the biomedical research community’s work on bacterial and viral infectious diseases via integration of vital pathogen information with rich data and analysis tools. BV-BRC combines the data, technology, and extensive user communities from two long-running centers: PATRIC, the bacterial system , and IRD/ViPR, the viral systems. In addition to hundreds of thousands of bacterial genomes in PATRIC and over a million viral genomes in IRD/ViPR, the two resources host data on protein structure and function, clinical studies, drug targets and resistance, epidemiology, and other features, and provide open source tools for data analysis and genomic annotation.",
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          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
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      ],
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        "@type": "Organization",
        "name": "National Institute of Allergy and Infectious Diseases (NIAID)"
      }
    },
    {
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      "title": "Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data Series",
      "description": "BRFSS land line only prevalence data. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available.",
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          "@type": "Kind",
          "fn": "DPH Public Inquiries",
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      ],
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          "prefLabel": "United States"
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      "modified": "2026-07-20",
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        "name": "Centers for Disease Control and Prevention"
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      "temporal": [
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          "@type": "PeriodOfTime",
          "startDate": "2015-06-04",
          "endDate": "2026-07-20"
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      ],
      "first": {
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        "identifier": "y4ft-s73h",
        "title": "Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data (2010 and prior)",
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        "contactPoint": [
          {
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            "fn": "Behavioral Risk Factor Surveillance System",
            "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
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        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
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              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "dttw-5yxu",
        "title": "Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data (2011 to present)",
        "description": "2011 to present. BRFSS combined land line and cell phone prevalence data. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "Behavioral Risk Factor Surveillance System",
            "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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                {
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                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data Series",
      "description": "BRFSS SMART County Prevalence combined land line and cell phone data.  The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected counties with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DPH Public Inquiries",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "modified": "2017-03-01",
      "accrualPeriodicity": "continual",
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-06-04",
          "endDate": "2017-03-01"
        }
      ],
      "first": {
        "@type": "Dataset",
        "identifier": "acme-vg9e",
        "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data (2010 and prior)",
        "description": "2002-2010. BRFSS SMART County Prevalence land line only data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected counties with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "Behavioral Risk Factor Surveillance System",
            "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "cpem-dkkm",
        "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data (2011 to 2012)",
        "description": "2011 to 2012. BRFSS SMART County Prevalence combined land line and cell phone data.  The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected counties with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "Behavioral Risk Factor Surveillance System",
            "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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            {
              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data Series",
      "description": "BRFSS SMART MMSA Prevalence land line only data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DPH Public Inquiries",
          "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "modified": "2025-02-19",
      "accrualPeriodicity": "continual",
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-06-04",
          "endDate": "2025-02-19"
        }
      ],
      "first": {
        "@type": "Dataset",
        "identifier": "waxm-p5qv",
        "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2010 and Prior)",
        "description": "2002-2010. BRFSS SMART MMSA Prevalence land line only data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "Behavioral Risk Factor Surveillance System",
            "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "j32a-sa6u",
        "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2011 to Present)",
        "description": "2011 to present. BRFSS SMART MMSA Prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "Behavioral Risk Factor Surveillance System",
            "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
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              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Bi-annual Research Datasets for SOPS Surveys",
      "description": "This dataset series comprises research datasets from the Agency for Healthcare Research and Quality’s (AHRQ) Surveys on Patient Safety Culture® (SOPS®) Program. The datasets contain survey data submitted to the AHRQ SOPS Databases and support research on patient safety culture in healthcare settings. The series includes data from SOPS surveys for hospitals, medical offices, nursing homes, community pharmacies, and ambulatory surgery centers. Research datasets may be available as de-identified data files, with hospital-identifiable data available under additional requirements for the SOPS Hospital Survey.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Cecilia Hahn",
          "hasEmail": "mailto:CeciliaHahn@ahrq.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Agency for Healthcare Research and Quality (AHRQ)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Binding Database (BindingDB)",
      "description": "BindingDB is a public, web-accessible database of measured binding affinities, focusing chiefly on the interactions of proteins considered to be candidate drug-targets with ligands that are small, drug-like molecules. BindingDB supports medicinal chemistry and drug discovery via literature awareness and development of structure-activity relations (SAR and QSAR); validation of computational chemistry and molecular modeling approaches such as docking, scoring and free energy methods; chemical biology and chemical genomics; and basic studies of the physical chemistry of molecular recognition. BindingDB also includes a small collection of host-guest binding data of interest to chemists studying supramolecular systems.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of General Medical Sciences (NIGMS)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "BioData Catalyst",
      "description": "NHLBI BioData Catalyst® (BDC) is a cloud-based ecosystem offering researchers analytical tools, applications, and workflows in secure workspaces where researchers can find, access, share, store, and compute on hosted data or data they bring to it. BDC is also an NHLBI data repository where researchers share scientific data so they and others can reproduce findings and reuse data to advance science. The TOPMed Imputation Server, where researchers can upload their own phased or unphased GWAS genotypes and receive phased and imputed genomes in return, is also part of the BDC ecosystem.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Heart, Lung, and Blood Institute (NHLBI)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "BioPortal",
      "description": "BioPortal is the world's most comprehensive, integrated knowledgebase of biomedical ontologies and controlled terminologies. BioPortal enables users to navigate, visualize, and leverage both individual ontologies and the collective knowledge suggested by its entire knowledgebase of more than 800 ontologies. It provides specialized tools that employ novel layouts and animation to offer cognitive support to users trying to understand the complexities of large ontologies within the confines of the two dimensions offered by a Web browser.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of General Medical Sciences (NIGMS)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Biologic Specimen and Data Repository Information Coordinating Center (BioLINCC)",
      "description": "BioLINCC facilitates and coordinates the activities of the NHLBI Biorepository and the Data Repository. The mission of BioLINCC is to maximize the scientific value of biospecimen and clinical data resources collected by clinical trials and observational studies supported by the Institute.  BioLINCC promotes the use of and facilitates access to biospecimen and clinical data resources through a single web-based user interface.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Heart, Lung, and Blood Institute (NHLBI)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Biological General Repository for Interaction Datasets (BioGRID)",
      "description": "The BioGRID Open Respository of CRISPR Screens (ORCS) is a publicly accessible database of CRISPR screens compiled through comprehensive curation of all genome-wide CRISPR screen data reported in the biomedical literature.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Research Infrastructure Programs (ORIP)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Biological Magnetic Resonance Data Bank (BMRB)",
      "description": "BMRB collects, annotates, archives, and disseminates (worldwide in the public domain) the important spectral and quantitative data derived from NMR spectroscopic investigations of biologically relevant molecules.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of General Medical Sciences (NIGMS)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Brain Analysis Library of Spatial maps and Atlases (BALSA)",
      "description": "Brain Analysis Library of Spatial Maps and Atlases (BALSA)",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Mental Health (NIMH)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Brain Data Science Platform (BDSP)",
      "description": "The Brain Data Science Platform (BDSP) advances neurology and brain health research by providing free access to curated neurophysiological, neuroimaging, and electronic health record datasets, along with open-source software. Led by Harvard Medical School-affiliated scientists and engineers at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, BDSP offers tools, reproducible research resources, and educational support for clinicians. Funded by NIH, NSF, and AWS, BDSP fosters global collaboration and innovation, empowering researchers to improve diagnostics, prognostics, and medical decision-making to promote brain health.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Neurological Disorders and Stroke (NINDS)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Brain Image Library",
      "description": "The Brain Image Library (BIL) is a national public resource enabling researchers to deposit, analyze, mine, share and interact with large brain image datasets.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Mental Health (NIMH)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Brain Observatory Storage Service & Database (BossDB)",
      "description": "BossDB is a volumetric database for 3D and 4D neuroscience data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Mental Health (NIMH)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "CCDI Molecular Targets Platform (MTP)",
      "description": "The CCDI MTP allows researchers to browse and identify associations between molecular targets, diseases, and drugs specific for childhood cancers.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Cancer Institute (NCI)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "CDC Best Practices for Comprehensive Tobacco Control Programs Series",
      "description": "Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use.  Data are reported at total and per capita funding levels. Data include recommended, upper, and lower total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "OSHData Support",
          "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "modified": "2018-07-09",
      "accrualPeriodicity": "continual",
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-05-07",
          "endDate": "2018-07-09"
        }
      ],
      "first": {
        "@type": "Dataset",
        "identifier": "n4v6-56e8",
        "title": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2007",
        "description": "2007. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use.  Data are reported at total and per capita funding levels. Data include recommended, upper, and lower total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "Smoking Health",
            "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
              "subOrganizationOf": [
                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "vm4m-idi8",
        "title": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2014",
        "description": "2014. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use.  These data update Best Practices for Comprehensive Tobacco Control Programsâ€”2007.  Data are reported at total and per capita funding levels. Data include recommended and minimum total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Mass-Reach Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Infrastructure, Administration, and Management.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "Smoking Health",
            "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Office on Smoking Health (OSH)",
              "subOrganizationOf": [
                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "CDC PRAMStat Dataset Series",
      "description": "PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "DPH Public Inquiries",
          "hasEmail": "mailto:PRAMSProposals@cdc.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "modified": "2017-02-21",
      "accrualPeriodicity": "continual",
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-16",
          "endDate": "2017-02-21"
        }
      ],
      "first": {
        "@type": "Dataset",
        "identifier": "3hwj-hqmh",
        "title": "CDC PRAMStat Data for 2000",
        "description": "2000. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "the Pregnancy Risk Assessment Monitoring System",
            "hasEmail": "mailto:PRAMSProposals@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
              "subOrganizationOf": [
                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "ese6-rqpq",
        "title": "CDC PRAMStat Data for 2011",
        "description": "2011.  Centers for Disease Control and Prevention (CDC).  PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments.  PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy.\nData will be updated annually as it becomes available.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "the Pregnancy Risk Assessment Monitoring System",
            "hasEmail": "mailto:PRAMSProposals@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
              "subOrganizationOf": [
                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "@id": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles",
      "identifier": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles",
      "title": "CIL Annual Program Performance Report (PPR) Datafiles",
      "description": "Dataset series for CIL Annual Program Performance Report (PPR) Datafiles, published by ACL's Office of Independent Living Programs. Covers FY2015 through FY2023 as of this writing.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ACL Office of Independent Living Programs (OILP)",
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        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living (ACL)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accrualPeriodicity": "R/P1Y",
      "seriesMember": [
        {
          "@type": "Dataset",
          "@id": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2015",
          "identifier": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2015",
          "title": "CIL Annual Program Performance Report (PPR) Datafiles — FY2015",
          "description": "Centers for Independent Living (CIL) Annual Program Performance Report (PPR) data for fiscal year 2015, reported to ACL's Independent Living Administration as required by the Rehabilitation Act of 1973, as amended.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "ACL Office of Independent Living Programs (OILP)",
              "hasEmail": "mailto:OILP@acl.hhs.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2016",
          "identifier": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2016",
          "title": "CIL Annual Program Performance Report (PPR) Datafiles — FY2016",
          "description": "Centers for Independent Living (CIL) Annual Program Performance Report (PPR) data for fiscal year 2016, reported to ACL's Independent Living Administration as required by the Rehabilitation Act of 1973, as amended.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "ACL Office of Independent Living Programs (OILP)",
              "hasEmail": "mailto:OILP@acl.hhs.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2017",
          "identifier": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2017",
          "title": "CIL Annual Program Performance Report (PPR) Datafiles — FY2017",
          "description": "Centers for Independent Living (CIL) Annual Program Performance Report (PPR) data for fiscal year 2017, reported to ACL's Independent Living Administration as required by the Rehabilitation Act of 1973, as amended.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "ACL Office of Independent Living Programs (OILP)",
              "hasEmail": "mailto:OILP@acl.hhs.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2018",
          "identifier": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2018",
          "title": "CIL Annual Program Performance Report (PPR) Datafiles — FY2018",
          "description": "Centers for Independent Living (CIL) Annual Program Performance Report (PPR) data for fiscal year 2018, reported to ACL's Independent Living Administration as required by the Rehabilitation Act of 1973, as amended.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "ACL Office of Independent Living Programs (OILP)",
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          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2019",
          "identifier": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2019",
          "title": "CIL Annual Program Performance Report (PPR) Datafiles — FY2019",
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          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "ACL Office of Independent Living Programs (OILP)",
              "hasEmail": "mailto:OILP@acl.hhs.gov"
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          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2020",
          "identifier": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2020",
          "title": "CIL Annual Program Performance Report (PPR) Datafiles — FY2020",
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          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2021",
          "identifier": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2021",
          "title": "CIL Annual Program Performance Report (PPR) Datafiles — FY2021",
          "description": "Centers for Independent Living (CIL) Annual Program Performance Report (PPR) data for fiscal year 2021, reported to ACL's Independent Living Administration as required by the Rehabilitation Act of 1973, as amended.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "ACL Office of Independent Living Programs (OILP)",
              "hasEmail": "mailto:OILP@acl.hhs.gov"
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          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2022",
          "identifier": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2022",
          "title": "CIL Annual Program Performance Report (PPR) Datafiles — FY2022",
          "description": "Centers for Independent Living (CIL) Annual Program Performance Report (PPR) data for fiscal year 2022, reported to ACL's Independent Living Administration as required by the Rehabilitation Act of 1973, as amended.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "ACL Office of Independent Living Programs (OILP)",
              "hasEmail": "mailto:OILP@acl.hhs.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "@id": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2023",
          "identifier": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2023",
          "title": "CIL Annual Program Performance Report (PPR) Datafiles — FY2023",
          "description": "Centers for Independent Living (CIL) Annual Program Performance Report (PPR) data for fiscal year 2023, reported to ACL's Independent Living Administration as required by the Rehabilitation Act of 1973, as amended.",
          "contactPoint": [
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              "@type": "Kind",
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              "hasEmail": "mailto:OILP@acl.hhs.gov"
            }
          ]
        }
      ],
      "first": {
        "@type": "Dataset",
        "@id": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2015",
        "identifier": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2015",
        "title": "CIL Annual Program Performance Report (PPR) Datafiles — FY2015",
        "description": "Centers for Independent Living (CIL) Annual Program Performance Report (PPR) data for fiscal year 2015, reported to ACL's Independent Living Administration as required by the Rehabilitation Act of 1973, as amended.",
        "contactPoint": [
          {
            "@type": "Kind",
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            "hasEmail": "mailto:OILP@acl.hhs.gov"
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        ]
      },
      "last": {
        "@type": "Dataset",
        "@id": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2023",
        "identifier": "https://acl.gov/programs/aging-and-disability-networks/centers-independent-living#cil-ppr-datafiles-2023",
        "title": "CIL Annual Program Performance Report (PPR) Datafiles — FY2023",
        "description": "Centers for Independent Living (CIL) Annual Program Performance Report (PPR) data for fiscal year 2023, reported to ACL's Independent Living Administration as required by the Rehabilitation Act of 1973, as amended.",
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        ]
      },
      "temporal": [
        {
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      ]
    },
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        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
        "subOrganizationOf": [
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            "@type": "Organization",
            "name": "Centers for Medicare and Medicaid Services (CMS)"
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      },
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CMS Program Statistics - OEDA",
          "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
        }
      ],
      "identifier": "https://data.cms.gov/data-api/v1/dataset/24fe2a9a-4144-46b2-bf1a-07aa86fb65ae/data",
      "accessRights": "public",
      "sourceSite": "data.cms.gov",
      "sourceCatalog": "https://data.cms.gov/data.json",
      "language": [
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      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2023-12-31"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CMS Program Statistics - Medicare Advantage & Other Health Plan Enrollment landing page",
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        "@type": "Distribution",
        "title": "CMS Program Statistics - Medicare Advantage & Other Health Plan Enrollment data dictionary",
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      },
      "keyword": [
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        "States & Territories",
        "Medicare",
        "Medicare Advantage",
        "Beneficiary Enrollment",
        "Health Equity"
      ],
      "theme": [
        "Medicare"
      ],
      "accrualPeriodicity": "annually",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
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      "programCode": [
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      "first": {
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        "@type": "Dataset",
        "title": "CMS Program Statistics - Medicare Advantage & Other Health Plan Enrollment : 2013-12-31",
        "description": "The CMS Program Statistics - Medicare Advantage & Other Health Plan Enrollment tables provide data on characteristics of the population covered by Medicare Advantage & other health plans. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL AB 15. Medicare Advantage and Other Health Plan Enrollment: Part A and/or Part B Total, Aged, and Disabled Enrollees, Yearly Trend MDCR ENROLL AB 16. Medicare Advantage and Other Health Plan Enrollment: Part A and/or Part B Enrollees, by Age Group, Yearly Trend MDCR ENROLL AB 17. Medicare Advantage and Other Health Plan Enrollment: Part A and/or Part B Enrollees, by Demographic Characteristics MDCR ENROLL AB 18. Medicare Advantage and Other Health Plan Enrollment: Part A and/or Part B Enrollees, by Type of Entitlement and Demographic Characteristics MDCR ENROLL AB 19. Medicare Advantage and Other Health Plan Enrollment: Part A and/or Part B Total, Aged, and Disabled Enrollees, by Area of Residence MDCR ENROLL AB 20. Medicare Advantage and Other Health Plan Enrollment: Part A and/or Part B Enrollees, by Type of Entitlement and Area of Residence",
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          "name": "Office of Enterprise Data and Analytics (OEDA)",
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        "contactPoint": {
          "@type": "Kind",
          "fn": "CMS Program Statistics - OEDA",
          "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
        },
        "identifier": "https://data.cms.gov/data-api/v1/dataset/a16ac490-cbd7-43c0-b15e-a5d6316dfa02/data-viewer"
      },
      "last": {
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        "@type": "Dataset",
        "title": "CMS Program Statistics - Medicare Advantage & Other Health Plan Enrollment : 2023-01-01",
        "description": "The CMS Program Statistics - Medicare Advantage & Other Health Plan Enrollment tables provide data on characteristics of the population covered by Medicare Advantage & other health plans. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL AB 15. Medicare Advantage and Other Health Plan Enrollment: Part A and/or Part B Total, Aged, and Disabled Enrollees, Yearly Trend MDCR ENROLL AB 16. Medicare Advantage and Other Health Plan Enrollment: Part A and/or Part B Enrollees, by Age Group, Yearly Trend MDCR ENROLL AB 17. Medicare Advantage and Other Health Plan Enrollment: Part A and/or Part B Enrollees, by Demographic Characteristics MDCR ENROLL AB 18. Medicare Advantage and Other Health Plan Enrollment: Part A and/or Part B Enrollees, by Type of Entitlement and Demographic Characteristics MDCR ENROLL AB 19. Medicare Advantage and Other Health Plan Enrollment: Part A and/or Part B Total, Aged, and Disabled Enrollees, by Area of Residence MDCR ENROLL AB 20. Medicare Advantage and Other Health Plan Enrollment: Part A and/or Part B Enrollees, by Type of Entitlement and Area of Residence",
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          "name": "Office of Enterprise Data and Analytics (OEDA)",
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        },
        "contactPoint": {
          "@type": "Kind",
          "fn": "CMS Program Statistics - OEDA",
          "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
        },
        "identifier": "https://data.cms.gov/data-api/v1/dataset/07186e70-0cc7-4469-8b5a-dd16ef3589c6/data-viewer"
      }
    },
    {
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      "@type": "DatasetSeries",
      "title": "CMS Program Statistics - Medicare Advantage - Outpatient Facility",
      "description": "The CMS Program Statistics – Medicare Advantage, Outpatient Facility tables provide utilization data for outpatient facilities, by Medicare Advantage beneficiaries.For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page.Below is the list of tables:MDCR OUTPATIENT MA 1. Medicare Outpatient Facilities: Utilization for Medicare Advantage Beneficiaries, by Type of Entitlement, Yearly TrendMDCR OUTPATIENT MA 2. Medicare Outpatient Facilities: Utilization for Medicare Advantage Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment StatusMDCR OUTPATIENT MA 3. Medicare Outpatient Facilities: Utilization for Medicare Advantage Beneficiaries, by Area of Residence",
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        "name": "Office of Enterprise Data and Analytics (OEDA)",
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      },
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          "@type": "Kind",
          "fn": "CMS Program Statistics - OEDA",
          "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
        }
      ],
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      "language": [
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      ],
      "temporal": [
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          "startDate": "2016-01-01",
          "endDate": "2022-12-31"
        }
      ],
      "landingPage": {
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      },
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      ],
      "theme": [
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      "accrualPeriodicity": "annually",
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        "@type": "Dataset",
        "title": "CMS Program Statistics - Medicare Advantage - Outpatient Facility : 2016-01-15",
        "description": "The CMS Program Statistics – Medicare Advantage, Outpatient Facility tables provide utilization data for outpatient facilities, by Medicare Advantage beneficiaries.For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page.Below is the list of tables:MDCR OUTPATIENT MA 1. Medicare Outpatient Facilities: Utilization for Medicare Advantage Beneficiaries, by Type of Entitlement, Yearly TrendMDCR OUTPATIENT MA 2. Medicare Outpatient Facilities: Utilization for Medicare Advantage Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment StatusMDCR OUTPATIENT MA 3. Medicare Outpatient Facilities: Utilization for Medicare Advantage Beneficiaries, by Area of Residence",
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          "name": "Office of Enterprise Data and Analytics (OEDA)",
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      },
      "last": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/a962d7cd-c427-4a1e-9abd-7ace88e72563/data-viewer",
        "@type": "Dataset",
        "title": "CMS Program Statistics - Medicare Advantage - Outpatient Facility : 2022-01-15",
        "description": "The CMS Program Statistics – Medicare Advantage, Outpatient Facility tables provide utilization data for outpatient facilities, by Medicare Advantage beneficiaries.For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page.Below is the list of tables:MDCR OUTPATIENT MA 1. Medicare Outpatient Facilities: Utilization for Medicare Advantage Beneficiaries, by Type of Entitlement, Yearly TrendMDCR OUTPATIENT MA 2. Medicare Outpatient Facilities: Utilization for Medicare Advantage Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment StatusMDCR OUTPATIENT MA 3. Medicare Outpatient Facilities: Utilization for Medicare Advantage Beneficiaries, by Area of Residence",
        "publisher": {
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          "name": "Office of Enterprise Data and Analytics (OEDA)",
          "subOrganizationOf": [
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          ]
        },
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          "fn": "CMS Program Statistics - OEDA",
          "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
        },
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      }
    },
    {
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      "@type": "DatasetSeries",
      "title": "CMS Program Statistics - Medicare Advantage - Physician, Non-Physician Practitioner & Supplier",
      "description": "The CMS Program Statistics – Medicare Advantage, Physician, Non-Physician Practitioner and Supplier tables provide utilization data for physician, non-physician practitioners, and suppliers, by Medicare Advantage beneficiaries.For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page.Below is the list of tables:MDCR PHYSSUPP MA 1. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization for Medicare Advantage Beneficiaries, by Type of Entitlement, Yearly TrendMDCR PHYSSUPP MA 2. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization for Medicare Advantage Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment StatusMDCR PHYSSUPP MA 3. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization for Medicare Advantage Beneficiaries, by Area of ResidenceMDCR PHYSSUPP MA 4. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization for Medicare Advantage Beneficiaries, by Place of ServiceMDCR PHYSSUPP MA 5. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization for Medicare Advantage Beneficiaries, by Restructured BETOS Classification System",
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        "@type": "Dataset",
        "title": "CMS Program Statistics - Medicare Advantage - Physician, Non-Physician Practitioner & Supplier : 2016-01-15",
        "description": "The CMS Program Statistics – Medicare Advantage, Physician, Non-Physician Practitioner and Supplier tables provide utilization data for physician, non-physician practitioners, and suppliers, by Medicare Advantage beneficiaries.For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page.Below is the list of tables:MDCR PHYSSUPP MA 1. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization for Medicare Advantage Beneficiaries, by Type of Entitlement, Yearly TrendMDCR PHYSSUPP MA 2. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization for Medicare Advantage Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment StatusMDCR PHYSSUPP MA 3. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization for Medicare Advantage Beneficiaries, by Area of ResidenceMDCR PHYSSUPP MA 4. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization for Medicare Advantage Beneficiaries, by Place of ServiceMDCR PHYSSUPP MA 5. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization for Medicare Advantage Beneficiaries, by Restructured BETOS Classification System",
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        "description": "The CMS Program Statistics – Medicare Advantage, Physician, Non-Physician Practitioner and Supplier tables provide utilization data for physician, non-physician practitioners, and suppliers, by Medicare Advantage beneficiaries.For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page.Below is the list of tables:MDCR PHYSSUPP MA 1. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization for Medicare Advantage Beneficiaries, by Type of Entitlement, Yearly TrendMDCR PHYSSUPP MA 2. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization for Medicare Advantage Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment StatusMDCR PHYSSUPP MA 3. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization for Medicare Advantage Beneficiaries, by Area of ResidenceMDCR PHYSSUPP MA 4. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization for Medicare Advantage Beneficiaries, by Place of ServiceMDCR PHYSSUPP MA 5. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization for Medicare Advantage Beneficiaries, by Restructured BETOS Classification System",
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    {
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      "description": "The CMS Program Statistics - Medicare Advantage, Inpatient Hospital tables provide utilization data for inpatient hospitals, including short-stay hospitals, critical access hospitals, long term care hospitals, inpatient psychiatric facilities, inpatient rehabilitation facilities, and other hospitals, by Medicare Advantage beneficiaries. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables:MDCR INPT HOSP MA 4. All Medicare Inpatient Hospital Types: Utilization for Medicare Advantage Beneficiaries, by Type of HospitalMDCR INPT HOSP MA 5. Medicare Short Stay Hospitals: Utilization for Medicare Advantage Beneficiaries, by Type of Entitlement, Yearly TrendMDCR INPT HOSP MA 6. Medicare Short Stay Hospitals: Utilization for Medicare Advantage Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment StatusMDCR INPT HOSP MA 7. Medicare Short Stay Hospitals: Utilization for Medicare Advantage Beneficiaries, by Area of Residence MDCR INPT HOSP MA 1 – MDCR INPT HOSP MA 3 are not available at this time.",
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        "@type": "Dataset",
        "title": "CMS Program Statistics - Medicare Advantage-Inpatient Hospital : 2022-01-01",
        "description": "The CMS Program Statistics - Medicare Advantage, Inpatient Hospital tables provide utilization data for inpatient hospitals, including short-stay hospitals, critical access hospitals, long term care hospitals, inpatient psychiatric facilities, inpatient rehabilitation facilities, and other hospitals, by Medicare Advantage beneficiaries. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables:MDCR INPT HOSP MA 4. All Medicare Inpatient Hospital Types: Utilization for Medicare Advantage Beneficiaries, by Type of HospitalMDCR INPT HOSP MA 5. Medicare Short Stay Hospitals: Utilization for Medicare Advantage Beneficiaries, by Type of Entitlement, Yearly TrendMDCR INPT HOSP MA 6. Medicare Short Stay Hospitals: Utilization for Medicare Advantage Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment StatusMDCR INPT HOSP MA 7. Medicare Short Stay Hospitals: Utilization for Medicare Advantage Beneficiaries, by Area of Residence MDCR INPT HOSP MA 1 – MDCR INPT HOSP MA 3 are not available at this time.",
        "publisher": {
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    {
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      "@type": "DatasetSeries",
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      "description": "The CMS Program Statistics - Medicare Advantage, Skilled Nursing Facility tables provide utilization data for skilled nursing facilities, by Medicare Advantage beneficiaries.For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables:MDCR SNF MA 1. Medicare Skilled Nursing Facilities: Utilization for Medicare Advantage Beneficiaries, by Type of Entitlement, Yearly TrendMDCR SNF MA 2. Medicare Skilled Nursing Facilities: Utilization for Medicare Advantage Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment StatusMDCR SNF MA 3. Medicare Skilled Nursing Facilities: Utilization for Medicare Advantage Beneficiaries, by Area of Residence",
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        "description": "The CMS Program Statistics - Medicare Advantage, Skilled Nursing Facility tables provide utilization data for skilled nursing facilities, by Medicare Advantage beneficiaries.For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables:MDCR SNF MA 1. Medicare Skilled Nursing Facilities: Utilization for Medicare Advantage Beneficiaries, by Type of Entitlement, Yearly TrendMDCR SNF MA 2. Medicare Skilled Nursing Facilities: Utilization for Medicare Advantage Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment StatusMDCR SNF MA 3. Medicare Skilled Nursing Facilities: Utilization for Medicare Advantage Beneficiaries, by Area of Residence",
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        "description": "The CMS Program Statistics - Medicare Advantage, Skilled Nursing Facility tables provide utilization data for skilled nursing facilities, by Medicare Advantage beneficiaries.For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables:MDCR SNF MA 1. Medicare Skilled Nursing Facilities: Utilization for Medicare Advantage Beneficiaries, by Type of Entitlement, Yearly TrendMDCR SNF MA 2. Medicare Skilled Nursing Facilities: Utilization for Medicare Advantage Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment StatusMDCR SNF MA 3. Medicare Skilled Nursing Facilities: Utilization for Medicare Advantage Beneficiaries, by Area of Residence",
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      "title": "CMS Program Statistics - Medicare Deaths",
      "description": "The CMS Program Statistics - Medicare Deaths summary tables provide data on Medicare deaths. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL AB 33. Medicare Deaths: Total (Original Medicare and Medicare Advantage and Other Health Plan) Beneficiaries, by Month of Death, Yearly Trend MDCR ENROLL AB 34. Medicare Deaths: Total, Original Medicare, and Medicare Advantage and Other Health Plan Beneficiaries, by Demographic Characteristics MDCR ENROLL AB 35. Medicare Deaths: Total (Original Medicare and Medicare Advantage and Other Health Plan) Beneficiaries, by Area of Residence MDCR ENROLL AB 36. Medicare Deaths: Original Medicare Beneficiaries, by Month of Death, Yearly Trend MDCR ENROLL AB 37. Medicare Deaths: Original Medicare Beneficiaries, by Area of Residence MDCR ENROLL AB 38. Medicare Deaths: Medicare Advantage and Other Health Plan Beneficiaries, by Month of Death, Yearly Trend MDCR ENROLL AB 39. Medicare Deaths: Medicare Advantage and Other Health Plan Beneficiaries, by Area of Residence",
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      "first": {
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        "description": "The CMS Program Statistics - Medicare Deaths summary tables provide data on Medicare deaths. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL AB 33. Medicare Deaths: Total (Original Medicare and Medicare Advantage and Other Health Plan) Beneficiaries, by Month of Death, Yearly Trend MDCR ENROLL AB 34. Medicare Deaths: Total, Original Medicare, and Medicare Advantage and Other Health Plan Beneficiaries, by Demographic Characteristics MDCR ENROLL AB 35. Medicare Deaths: Total (Original Medicare and Medicare Advantage and Other Health Plan) Beneficiaries, by Area of Residence MDCR ENROLL AB 36. Medicare Deaths: Original Medicare Beneficiaries, by Month of Death, Yearly Trend MDCR ENROLL AB 37. Medicare Deaths: Original Medicare Beneficiaries, by Area of Residence MDCR ENROLL AB 38. Medicare Deaths: Medicare Advantage and Other Health Plan Beneficiaries, by Month of Death, Yearly Trend MDCR ENROLL AB 39. Medicare Deaths: Medicare Advantage and Other Health Plan Beneficiaries, by Area of Residence",
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      "last": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/eff48ecd-ade0-494d-8017-59fe02448665/data-viewer",
        "@type": "Dataset",
        "title": "CMS Program Statistics - Medicare Deaths : 2023-01-01",
        "description": "The CMS Program Statistics - Medicare Deaths summary tables provide data on Medicare deaths. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL AB 33. Medicare Deaths: Total (Original Medicare and Medicare Advantage and Other Health Plan) Beneficiaries, by Month of Death, Yearly Trend MDCR ENROLL AB 34. Medicare Deaths: Total, Original Medicare, and Medicare Advantage and Other Health Plan Beneficiaries, by Demographic Characteristics MDCR ENROLL AB 35. Medicare Deaths: Total (Original Medicare and Medicare Advantage and Other Health Plan) Beneficiaries, by Area of Residence MDCR ENROLL AB 36. Medicare Deaths: Original Medicare Beneficiaries, by Month of Death, Yearly Trend MDCR ENROLL AB 37. Medicare Deaths: Original Medicare Beneficiaries, by Area of Residence MDCR ENROLL AB 38. Medicare Deaths: Medicare Advantage and Other Health Plan Beneficiaries, by Month of Death, Yearly Trend MDCR ENROLL AB 39. Medicare Deaths: Medicare Advantage and Other Health Plan Beneficiaries, by Area of Residence",
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          "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
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      }
    },
    {
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      "description": "The Medicare Home Health Agency tables provide use and payment data for home health agencies. The tables include use and expenditure data from home health Part A (Hospital Insurance) and Part B (Medical Insurance) claims. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR HHA 1. Medicare Home Health Agencies: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR HHA 2. Medicare Home Health Agencies: Utilization and Program Payments for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR HHA 3. Medicare Home Health Agencies: Utilization and Program Payments for Original Medicare Beneficiaries, by Area of Residence MDCR HHA 4. Medicare Home Health Agencies: Persons with Utilization and Total Service Visits for Original Medicare Beneficiaries, Type of Agency and Type of Service Visit MDCR HHA 5. Medicare Home Health Agencies: Persons with Utilization and Total Service Visits for Original Medicare Beneficiaries, by Type of Control and Type of Service Visit MDCR HHA 6. Medicare Home Health Agencies: Persons with Utilization, Total Service Visits, and Program Payments for Original Medicare Beneficiaries, by Number of Service Visits and Number of Episodes",
      "publisher": {
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        "name": "Office of Enterprise Data and Analytics (OEDA)",
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        "title": "CMS Program Statistics - Medicare Home Health Agency landing page",
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        "States & Territories",
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        "Hospitals & Facilities",
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      ],
      "theme": [
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      ],
      "accrualPeriodicity": "annually",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "references": [
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      ],
      "first": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/68f52464-50d8-4808-8320-846e209e6492/data-viewer",
        "@type": "Dataset",
        "title": "CMS Program Statistics - Medicare Home Health Agency : 2013-12-31",
        "description": "The Medicare Home Health Agency tables provide use and payment data for home health agencies. The tables include use and expenditure data from home health Part A (Hospital Insurance) and Part B (Medical Insurance) claims. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR HHA 1. Medicare Home Health Agencies: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR HHA 2. Medicare Home Health Agencies: Utilization and Program Payments for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR HHA 3. Medicare Home Health Agencies: Utilization and Program Payments for Original Medicare Beneficiaries, by Area of Residence MDCR HHA 4. Medicare Home Health Agencies: Persons with Utilization and Total Service Visits for Original Medicare Beneficiaries, Type of Agency and Type of Service Visit MDCR HHA 5. Medicare Home Health Agencies: Persons with Utilization and Total Service Visits for Original Medicare Beneficiaries, by Type of Control and Type of Service Visit MDCR HHA 6. Medicare Home Health Agencies: Persons with Utilization, Total Service Visits, and Program Payments for Original Medicare Beneficiaries, by Number of Service Visits and Number of Episodes",
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      "last": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/eeaacf96-281c-4740-9e81-40dda63a3411/data-viewer",
        "@type": "Dataset",
        "title": "CMS Program Statistics - Medicare Home Health Agency : 2023-01-01",
        "description": "The Medicare Home Health Agency tables provide use and payment data for home health agencies. The tables include use and expenditure data from home health Part A (Hospital Insurance) and Part B (Medical Insurance) claims. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR HHA 1. Medicare Home Health Agencies: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR HHA 2. Medicare Home Health Agencies: Utilization and Program Payments for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR HHA 3. Medicare Home Health Agencies: Utilization and Program Payments for Original Medicare Beneficiaries, by Area of Residence MDCR HHA 4. Medicare Home Health Agencies: Persons with Utilization and Total Service Visits for Original Medicare Beneficiaries, Type of Agency and Type of Service Visit MDCR HHA 5. Medicare Home Health Agencies: Persons with Utilization and Total Service Visits for Original Medicare Beneficiaries, by Type of Control and Type of Service Visit MDCR HHA 6. Medicare Home Health Agencies: Persons with Utilization, Total Service Visits, and Program Payments for Original Medicare Beneficiaries, by Number of Service Visits and Number of Episodes",
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          "name": "Office of Enterprise Data and Analytics (OEDA)",
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        "identifier": "https://data.cms.gov/data-api/v1/dataset/eeaacf96-281c-4740-9e81-40dda63a3411/data-viewer"
      }
    },
    {
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      "title": "CMS Program Statistics - Medicare Hospice",
      "description": "The CMS Program Statistics - Medicare Hospice tables provide use and payment data for hospice. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR HOSPICE 1. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR HOSPICE 2. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR HOSPICE 3. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Area of Residence MDCR HOSPICE 4. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Type of Control and Type of Service Visit MDCR HOSPICE 5. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Level of Care and Site of Service MDCR HOSPICE 6. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Number of Service Visits",
      "publisher": {
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      "landingPage": {
        "@type": "Document",
        "title": "CMS Program Statistics - Medicare Hospice landing page",
        "accessURL": "https://data.cms.gov/summary-statistics-on-use-and-payments/medicare-medicaid-service-type-reports/cms-program-statistics-medicare-hospice"
      },
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      ],
      "theme": [
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      "accrualPeriodicity": "annually",
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        "@id": "https://data.cms.gov/data-api/v1/dataset/ac301e7a-d74c-48f0-9e42-321a2feaeee9/data-viewer",
        "@type": "Dataset",
        "title": "CMS Program Statistics - Medicare Hospice : 2013-12-31",
        "description": "The CMS Program Statistics - Medicare Hospice tables provide use and payment data for hospice. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR HOSPICE 1. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR HOSPICE 2. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR HOSPICE 3. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Area of Residence MDCR HOSPICE 4. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Type of Control and Type of Service Visit MDCR HOSPICE 5. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Level of Care and Site of Service MDCR HOSPICE 6. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Number of Service Visits",
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      "last": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/efc12fad-ce99-4169-bad7-720634080531/data-viewer",
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        "title": "CMS Program Statistics - Medicare Hospice : 2023-01-01",
        "description": "The CMS Program Statistics - Medicare Hospice tables provide use and payment data for hospice. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR HOSPICE 1. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR HOSPICE 2. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR HOSPICE 3. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Area of Residence MDCR HOSPICE 4. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Type of Control and Type of Service Visit MDCR HOSPICE 5. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Level of Care and Site of Service MDCR HOSPICE 6. Medicare Hospices: Utilization and Program Payments for Medicare Beneficiaries, by Number of Service Visits",
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    },
    {
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      "title": "CMS Program Statistics - Medicare Inpatient Hospital",
      "description": "The CMS Program Statistics - Medicare Inpatient Hospital tables provide use and payment data for all inpatient hospitals, including short-stay hospitals, critical access hospitals, long term care hospitals, inpatient psychiatric facilities, inpatient rehabilitation facilities, religious nonmedical health care institutions, children’s hospitals, and other hospitals. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR INPT HOSP 1. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 2. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR INPT HOSP 3. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 4. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital MDCR INPT HOSP 5. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 6. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment MDCR INPT HOSP 7. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 8. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement and Total Days of Care MDCR INPT HOSP 9. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Location and Bedsize of Hospitals, by Medical School Affiliation, and Type of Control MDCR INPT HOSP 10. Special-Category Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital",
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        "States & Territories",
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        "title": "CMS Program Statistics - Medicare Inpatient Hospital : 2013-12-31",
        "description": "The CMS Program Statistics - Medicare Inpatient Hospital tables provide use and payment data for all inpatient hospitals, including short-stay hospitals, critical access hospitals, long term care hospitals, inpatient psychiatric facilities, inpatient rehabilitation facilities, religious nonmedical health care institutions, children’s hospitals, and other hospitals. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR INPT HOSP 1. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 2. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR INPT HOSP 3. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 4. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital MDCR INPT HOSP 5. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 6. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment MDCR INPT HOSP 7. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 8. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement and Total Days of Care MDCR INPT HOSP 9. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Location and Bedsize of Hospitals, by Medical School Affiliation, and Type of Control MDCR INPT HOSP 10. Special-Category Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital",
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      "last": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/5fb99b27-b228-46fa-aa98-b71a11f6f3d0/data-viewer",
        "@type": "Dataset",
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        "description": "The CMS Program Statistics - Medicare Inpatient Hospital tables provide use and payment data for all inpatient hospitals, including short-stay hospitals, critical access hospitals, long term care hospitals, inpatient psychiatric facilities, inpatient rehabilitation facilities, religious nonmedical health care institutions, children’s hospitals, and other hospitals. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR INPT HOSP 1. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 2. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR INPT HOSP 3. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 4. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital MDCR INPT HOSP 5. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 6. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment MDCR INPT HOSP 7. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 8. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement and Total Days of Care MDCR INPT HOSP 9. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Location and Bedsize of Hospitals, by Medical School Affiliation, and Type of Control MDCR INPT HOSP 10. Special-Category Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital",
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        "description": "The CMS Program Statistics - Medicare Newly Enrolled tables provide data on characteristics of the newly enrolled Medicare population. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL AB 21. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Enrollees, Yearly Trend MDCR ENROLL AB 22. Medicare Newly Enrolled Beneficiaries: Total Enrollees by Month of Enrollment, Yearly Trend MDCR ENROLL AB 23. Medicare Newly Enrolled Beneficiaries: Total Enrollees, by Demographic Characteristics MDCR ENROLL AB 24. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Enrollees, by Area of Residence MDCR ENROLL AB 25. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Original Medicare Enrollees MDCR ENROLL AB 26. Medicare Newly Enrolled Beneficiaries: Original Medicare Enrollees by Month of Enrollment, Yearly Trend MDCR ENROLL AB 27. Medicare Newly Enrolled Beneficiaries: Original Medicare Enrollees, by Demographic Characteristics MDCR ENROLL AB 28. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Original Medicare Enrollees, by Area of Residence MDCR ENROLL AB 29. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Medicare Advantage and Other Health Plan Enrollees, Yearly Trend MDCR ENROLL AB 30. Medicare Newly Enrolled Beneficiaries: Medicare Advantage and Other Health Plan Enrollees, by Month of Enrollment, Yearly Trend MDCR ENROLL AB 31. Medicare Newly Enrolled Beneficiaries: Medicare Advantage and Other Health Plan Enrollees, by Demographic Characteristics MDCR ENROLL AB 32. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Medicare Advantage and Other Health Plan Enrollees, by Area of Residence",
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        "description": "The CMS Program Statistics - Medicare Newly Enrolled tables provide data on characteristics of the newly enrolled Medicare population. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL AB 21. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Enrollees, Yearly Trend MDCR ENROLL AB 22. Medicare Newly Enrolled Beneficiaries: Total Enrollees by Month of Enrollment, Yearly Trend MDCR ENROLL AB 23. Medicare Newly Enrolled Beneficiaries: Total Enrollees, by Demographic Characteristics MDCR ENROLL AB 24. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Enrollees, by Area of Residence MDCR ENROLL AB 25. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Original Medicare Enrollees MDCR ENROLL AB 26. Medicare Newly Enrolled Beneficiaries: Original Medicare Enrollees by Month of Enrollment, Yearly Trend MDCR ENROLL AB 27. Medicare Newly Enrolled Beneficiaries: Original Medicare Enrollees, by Demographic Characteristics MDCR ENROLL AB 28. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Original Medicare Enrollees, by Area of Residence MDCR ENROLL AB 29. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Medicare Advantage and Other Health Plan Enrollees, Yearly Trend MDCR ENROLL AB 30. Medicare Newly Enrolled Beneficiaries: Medicare Advantage and Other Health Plan Enrollees, by Month of Enrollment, Yearly Trend MDCR ENROLL AB 31. Medicare Newly Enrolled Beneficiaries: Medicare Advantage and Other Health Plan Enrollees, by Demographic Characteristics MDCR ENROLL AB 32. Medicare Newly Enrolled Beneficiaries: Total, Aged, and Disabled Medicare Advantage and Other Health Plan Enrollees, by Area of Residence",
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        "description": "The CMS Program Statistics - Medicare Outpatient Facility tables provide use and payment data for all outpatient facilities, including hospitals providing outpatient services, rural health clinics, community mental health centers, federally qualified health centers, outpatient dialysis facilities, comprehensive outpatient rehabilitation facilities, and other outpatient facilities. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR OUTPATIENT 1. Medicare Outpatient Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR OUTPATIENT 2. Medicare Outpatient Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR OUTPATIENT 3. Medicare Outpatient Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR OUTPATIENT 4. Medicare Outpatient Facilities: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Outpatient Facility MDCR OUTPATIENT 5. Medicare Outpatient Facilities: Utilization for Original Medicare Beneficiaries, by Type of Outpatient Facility and Type of Service MDCR OUTPATIENT 6. Medicare Outpatient Prospective Payment System Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR OUTPATIENT 7. Medicare Outpatient Prospective Payment System Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR OUTPATIENT 8. Medicare Outpatient Prospective Payment System Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR OUTPATIENT 9. Medicare Outpatient Critical Access Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR OUTPATIENT 10. Medicare Outpatient Critical Access Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR OUTPATIENT 11. Medicare Outpatient Critical Access Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence",
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      "description": "The CMS Program Statistics - Medicare Part A & Part B - All Types of Service tables provide use and payment data by type of coverage and type of service. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR SUMMARY AB 1. Medicare Part A and Part B Summary: Utilization, Program Payments, and Cost Sharing for All Original Medicare Beneficiaries, by Type of Coverage and Type of Service, Yearly Trend MDCR SUMMARY AB 2. Medicare Part A and Part B Summary: Utilization, Program Payments, and Cost Sharing for Aged Original Medicare Beneficiaries, by Type of Coverage and Type of Service, Yearly Trend MDCR SUMMARY AB 3. Medicare Part A and Part B Summary: Utilization, Program Payments, and Cost Sharing for Disabled Original Medicare Beneficiaries by Type of Coverage and Type of Service, Yearly Trend MDCR SUMMARY AB 4. Medicare Part A and Part B Summary: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Coverage, Demographic Characteristics, and Medicare-Medicaid Enrollment Status MDCR SUMMARY AB 5. Medicare Part A and Part B Summary: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Coverage and by Area of Residence MDCR SUMMARY AB 6. Medicare Part A and Part B Summary: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement, Amount of Program Payments, Type of Coverage, and Type of Service",
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          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Medicare and Medicaid Services (CMS)"
            }
          ]
        },
        "contactPoint": {
          "@type": "Kind",
          "fn": "CMS Program Statistics - OEDA",
          "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
        },
        "identifier": "https://data.cms.gov/data-api/v1/dataset/17360514-ed0a-49f2-8347-d476ab8d0ece/data-viewer"
      }
    },
    {
      "@id": "https://data.cms.gov/data-api/v1/dataset/22c117c2-c04f-4078-9b7d-782167c8f0bb/data",
      "@type": "DatasetSeries",
      "title": "CMS Program Statistics - Medicare Premiums",
      "description": "The CMS Program Statistics - Medicare Premium tables provide information on counts of Medicare Part A (Hospital Insurance) and Part B (Medical Insurance) total premium, standard base premium, reduced base premium, and penalty beneficiaries. In addition, these tables include premium amounts and penalty amounts. For the Part B premium tables, information on Income Related Monthly Adjustment Amount (IRMAA) beneficiaries, IRMAA amounts, Managed Care Reduction beneficiaries and Managed Care Reduction amounts are also included. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR PREMIUMS 1. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 2. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 3. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts, by Area of Residence MDCR PREMIUMS 4. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 5. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 6. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts, by Area of Residence MDCR PREMIUMS 7. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 8. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 9. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, by Area of Residence",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
        "subOrganizationOf": [
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            "name": "Centers for Medicare and Medicaid Services (CMS)"
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      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CMS Program Statistics - OEDA",
          "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
        }
      ],
      "identifier": "https://data.cms.gov/data-api/v1/dataset/22c117c2-c04f-4078-9b7d-782167c8f0bb/data",
      "accessRights": "public",
      "sourceSite": "data.cms.gov",
      "sourceCatalog": "https://data.cms.gov/data.json",
      "language": [
        "en"
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2023-12-31"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CMS Program Statistics - Medicare Premiums landing page",
        "accessURL": "https://data.cms.gov/summary-statistics-on-use-and-payments/medicare-premium-reports/cms-program-statistics-medicare-premiums"
      },
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        "title": "CMS Program Statistics - Medicare Premiums data dictionary",
        "downloadURL": "https://data.cms.gov/resources/cms-program-statistics-glossary"
      },
      "keyword": [
        "National",
        "States & Territories",
        "Medicare",
        "Original Medicare",
        "Health Care Use & Payments",
        "Beneficiary Costs",
        "Health Equity"
      ],
      "theme": [
        "Medicare"
      ],
      "accrualPeriodicity": "annually",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
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      ],
      "references": [
        "https://data.cms.gov/resources/cms-program-statistics-methodology"
      ],
      "first": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/4940b1f3-35c8-4408-a5f1-a9eba2b6d976/data-viewer",
        "@type": "Dataset",
        "title": "CMS Program Statistics - Medicare Premiums : 2013-12-31",
        "description": "The CMS Program Statistics - Medicare Premium tables provide information on counts of Medicare Part A (Hospital Insurance) and Part B (Medical Insurance) total premium, standard base premium, reduced base premium, and penalty beneficiaries. In addition, these tables include premium amounts and penalty amounts. For the Part B premium tables, information on Income Related Monthly Adjustment Amount (IRMAA) beneficiaries, IRMAA amounts, Managed Care Reduction beneficiaries and Managed Care Reduction amounts are also included. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR PREMIUMS 1. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 2. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 3. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts, by Area of Residence MDCR PREMIUMS 4. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 5. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 6. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts, by Area of Residence MDCR PREMIUMS 7. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 8. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 9. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, by Area of Residence",
        "publisher": {
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          "name": "Office of Enterprise Data and Analytics (OEDA)",
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              "name": "Centers for Medicare and Medicaid Services (CMS)"
            }
          ]
        },
        "contactPoint": {
          "@type": "Kind",
          "fn": "CMS Program Statistics - OEDA",
          "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
        },
        "identifier": "https://data.cms.gov/data-api/v1/dataset/4940b1f3-35c8-4408-a5f1-a9eba2b6d976/data-viewer"
      },
      "last": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/41a2303d-9e0c-4b68-a3a8-0aa8dcf59e3b/data-viewer",
        "@type": "Dataset",
        "title": "CMS Program Statistics - Medicare Premiums : 2023-01-01",
        "description": "The CMS Program Statistics - Medicare Premium tables provide information on counts of Medicare Part A (Hospital Insurance) and Part B (Medical Insurance) total premium, standard base premium, reduced base premium, and penalty beneficiaries. In addition, these tables include premium amounts and penalty amounts. For the Part B premium tables, information on Income Related Monthly Adjustment Amount (IRMAA) beneficiaries, IRMAA amounts, Managed Care Reduction beneficiaries and Managed Care Reduction amounts are also included. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR PREMIUMS 1. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 2. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 3. Medicare Premiums: Medicare Part A Premium Beneficiaries and Amounts, by Area of Residence MDCR PREMIUMS 4. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 5. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 6. Medicare Premiums: Medicare Part B Premium Beneficiaries and Amounts, by Area of Residence MDCR PREMIUMS 7. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, Yearly Trend MDCR PREMIUMS 8. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PREMIUMS 9. Medicare Premiums: Medicare Part D Premium Beneficiaries and Amounts, by Area of Residence",
        "publisher": {
          "@type": "Organization",
          "name": "Office of Enterprise Data and Analytics (OEDA)",
          "subOrganizationOf": [
            {
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              "name": "Centers for Medicare and Medicaid Services (CMS)"
            }
          ]
        },
        "contactPoint": {
          "@type": "Kind",
          "fn": "CMS Program Statistics - OEDA",
          "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
        },
        "identifier": "https://data.cms.gov/data-api/v1/dataset/41a2303d-9e0c-4b68-a3a8-0aa8dcf59e3b/data-viewer"
      }
    },
    {
      "@id": "https://data.cms.gov/data-api/v1/dataset/5ad4e138-a8b4-49e1-a2f4-34f52b3a665a/data",
      "@type": "DatasetSeries",
      "title": "CMS Program Statistics - Medicare Providers",
      "description": "The CMS Program Statistics - Medicare Providers summary tables provide data on institutional (i.e., hospitals, skilled nursing facilities, home health agencies, hospices, etc.) and non-institutional (i.e., physicians, nonphysicians, specialists, and suppliers) providers. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR PROVIDERS 1. Medicare Providers: Number of Medicare Certified Institutional Providers, Yearly Trend MDCR PROVIDERS 2. Medicare Providers: Number of Medicare Certified Inpatient Hospital and Skilled Nursing Facility Beds and Beds Per 1,000 Enrollees, Yearly Trend MDCR PROVIDERS 3. Medicare Providers: Number of Medicare Certified Facilities, by Type of Control, Yearly Trend MDCR PROVIDERS 4. Medicare Providers: Number of Skilled Nursing Facilities and Medicare Certified Hospitals, and Number of Beds, by State, Territories, Possessions and Other Areas MDCR PROVIDERS 5. Medicare Providers: Number of Medicare Certified Providers, by Type of Provider, by State, Territories, Possessions, and Other Areas MDCR PROVIDERS 6. Medicare Providers: Number of Medicare Non-Institutional Providers by Specialty, Yearly Trend MDCR PROVIDERS 7. Medicare Providers: Number of Medicare Non-Institutional Providers, by State, Territories, Possessions, and Other Areas, Yearly Trend",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare and Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CMS Program Statistics - OEDA",
          "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
        }
      ],
      "identifier": "https://data.cms.gov/data-api/v1/dataset/5ad4e138-a8b4-49e1-a2f4-34f52b3a665a/data",
      "accessRights": "public",
      "sourceSite": "data.cms.gov",
      "sourceCatalog": "https://data.cms.gov/data.json",
      "language": [
        "en"
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2023-12-31"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CMS Program Statistics - Medicare Providers landing page",
        "accessURL": "https://data.cms.gov/summary-statistics-on-provider-enrollment/medicare-provider-type-reports/cms-program-statistics-medicare-providers"
      },
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        "title": "CMS Program Statistics - Medicare Providers data dictionary",
        "downloadURL": "https://data.cms.gov/resources/cms-program-statistics-glossary"
      },
      "keyword": [
        "National",
        "States & Territories",
        "Medicare",
        "Original Medicare",
        "Provider Enrollment"
      ],
      "theme": [
        "Medicare"
      ],
      "accrualPeriodicity": "annually",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "references": [
        "https://data.cms.gov/resources/cms-program-statistics-methodology"
      ],
      "first": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/7bc2b830-662d-444d-af12-874829597f57/data-viewer",
        "@type": "Dataset",
        "title": "CMS Program Statistics - Medicare Providers : 2013-12-31",
        "description": "The CMS Program Statistics - Medicare Providers summary tables provide data on institutional (i.e., hospitals, skilled nursing facilities, home health agencies, hospices, etc.) and non-institutional (i.e., physicians, nonphysicians, specialists, and suppliers) providers. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR PROVIDERS 1. Medicare Providers: Number of Medicare Certified Institutional Providers, Yearly Trend MDCR PROVIDERS 2. Medicare Providers: Number of Medicare Certified Inpatient Hospital and Skilled Nursing Facility Beds and Beds Per 1,000 Enrollees, Yearly Trend MDCR PROVIDERS 3. Medicare Providers: Number of Medicare Certified Facilities, by Type of Control, Yearly Trend MDCR PROVIDERS 4. Medicare Providers: Number of Skilled Nursing Facilities and Medicare Certified Hospitals, and Number of Beds, by State, Territories, Possessions and Other Areas MDCR PROVIDERS 5. Medicare Providers: Number of Medicare Certified Providers, by Type of Provider, by State, Territories, Possessions, and Other Areas MDCR PROVIDERS 6. Medicare Providers: Number of Medicare Non-Institutional Providers by Specialty, Yearly Trend MDCR PROVIDERS 7. Medicare Providers: Number of Medicare Non-Institutional Providers, by State, Territories, Possessions, and Other Areas, Yearly Trend",
        "publisher": {
          "@type": "Organization",
          "name": "Office of Enterprise Data and Analytics (OEDA)",
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            }
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          "fn": "CMS Program Statistics - OEDA",
          "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
        },
        "identifier": "https://data.cms.gov/data-api/v1/dataset/7bc2b830-662d-444d-af12-874829597f57/data-viewer"
      },
      "last": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/f8545570-298a-4f0c-80bd-10d3fb66c792/data-viewer",
        "@type": "Dataset",
        "title": "CMS Program Statistics - Medicare Providers : 2023-01-01",
        "description": "The CMS Program Statistics - Medicare Providers summary tables provide data on institutional (i.e., hospitals, skilled nursing facilities, home health agencies, hospices, etc.) and non-institutional (i.e., physicians, nonphysicians, specialists, and suppliers) providers. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR PROVIDERS 1. Medicare Providers: Number of Medicare Certified Institutional Providers, Yearly Trend MDCR PROVIDERS 2. Medicare Providers: Number of Medicare Certified Inpatient Hospital and Skilled Nursing Facility Beds and Beds Per 1,000 Enrollees, Yearly Trend MDCR PROVIDERS 3. Medicare Providers: Number of Medicare Certified Facilities, by Type of Control, Yearly Trend MDCR PROVIDERS 4. Medicare Providers: Number of Skilled Nursing Facilities and Medicare Certified Hospitals, and Number of Beds, by State, Territories, Possessions and Other Areas MDCR PROVIDERS 5. Medicare Providers: Number of Medicare Certified Providers, by Type of Provider, by State, Territories, Possessions, and Other Areas MDCR PROVIDERS 6. Medicare Providers: Number of Medicare Non-Institutional Providers by Specialty, Yearly Trend MDCR PROVIDERS 7. Medicare Providers: Number of Medicare Non-Institutional Providers, by State, Territories, Possessions, and Other Areas, Yearly Trend",
        "publisher": {
          "@type": "Organization",
          "name": "Office of Enterprise Data and Analytics (OEDA)",
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              "name": "Centers for Medicare and Medicaid Services (CMS)"
            }
          ]
        },
        "contactPoint": {
          "@type": "Kind",
          "fn": "CMS Program Statistics - OEDA",
          "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
        },
        "identifier": "https://data.cms.gov/data-api/v1/dataset/f8545570-298a-4f0c-80bd-10d3fb66c792/data-viewer"
      }
    },
    {
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      "@type": "DatasetSeries",
      "title": "CMS Program Statistics - Medicare Skilled Nursing Facility",
      "description": "The CMS Program Statistics - Medicare Skilled Nursing Facility tables provide use and payment data for skilled nursing facilities. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR SNF 1. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR SNF 2. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR SNF 3. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR SNF 4. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement and Covered Days of Care MDCR SNF 5. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Facility and Bedsize MDCR SNF 6. Medicare Skilled Nursing Facilities: Distribution of Medicare Covered Skilled Nursing Facility Days, by State of Provider and Major Resource Utilization Groups (RUG)-III (versions 2013-2018 only)",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
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            "@type": "Organization",
            "name": "Centers for Medicare and Medicaid Services (CMS)"
          }
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      },
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          "@type": "Kind",
          "fn": "CMS Program Statistics - OEDA",
          "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
        }
      ],
      "identifier": "https://data.cms.gov/data-api/v1/dataset/c05cf65a-c13b-473c-8994-070f60f245b1/data",
      "accessRights": "public",
      "sourceSite": "data.cms.gov",
      "sourceCatalog": "https://data.cms.gov/data.json",
      "language": [
        "en"
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2023-12-31"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "CMS Program Statistics - Medicare Skilled Nursing Facility landing page",
        "accessURL": "https://data.cms.gov/summary-statistics-on-use-and-payments/medicare-medicaid-service-type-reports/cms-program-statistics-medicare-skilled-nursing-facility"
      },
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        "@type": "Distribution",
        "title": "CMS Program Statistics - Medicare Skilled Nursing Facility data dictionary",
        "downloadURL": "https://data.cms.gov/resources/cms-program-statistics-glossary"
      },
      "keyword": [
        "National",
        "States & Territories",
        "Medicare",
        "Original Medicare",
        "Hospitals & Facilities",
        "Skilled Nursing",
        "Health Care Use & Payments",
        "Health Equity"
      ],
      "theme": [
        "Medicare"
      ],
      "accrualPeriodicity": "annually",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "references": [
        "https://data.cms.gov/resources/cms-program-statistics-methodology"
      ],
      "first": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/e92b999c-a073-4c3b-81fd-020fe2c7c0a7/data-viewer",
        "@type": "Dataset",
        "title": "CMS Program Statistics - Medicare Skilled Nursing Facility : 2013-12-31",
        "description": "The CMS Program Statistics - Medicare Skilled Nursing Facility tables provide use and payment data for skilled nursing facilities. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR SNF 1. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR SNF 2. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR SNF 3. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR SNF 4. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement and Covered Days of Care MDCR SNF 5. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Facility and Bedsize MDCR SNF 6. Medicare Skilled Nursing Facilities: Distribution of Medicare Covered Skilled Nursing Facility Days, by State of Provider and Major Resource Utilization Groups (RUG)-III (versions 2013-2018 only)",
        "publisher": {
          "@type": "Organization",
          "name": "Office of Enterprise Data and Analytics (OEDA)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Medicare and Medicaid Services (CMS)"
            }
          ]
        },
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          "@type": "Kind",
          "fn": "CMS Program Statistics - OEDA",
          "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
        },
        "identifier": "https://data.cms.gov/data-api/v1/dataset/e92b999c-a073-4c3b-81fd-020fe2c7c0a7/data-viewer"
      },
      "last": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/0dfe6e81-9c48-4c6e-baf1-411e5b32e4f5/data-viewer",
        "@type": "Dataset",
        "title": "CMS Program Statistics - Medicare Skilled Nursing Facility : 2023-01-01",
        "description": "The CMS Program Statistics - Medicare Skilled Nursing Facility tables provide use and payment data for skilled nursing facilities. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR SNF 1. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR SNF 2. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR SNF 3. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR SNF 4. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement and Covered Days of Care MDCR SNF 5. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Facility and Bedsize MDCR SNF 6. Medicare Skilled Nursing Facilities: Distribution of Medicare Covered Skilled Nursing Facility Days, by State of Provider and Major Resource Utilization Groups (RUG)-III (versions 2013-2018 only)",
        "publisher": {
          "@type": "Organization",
          "name": "Office of Enterprise Data and Analytics (OEDA)",
          "subOrganizationOf": [
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              "@type": "Organization",
              "name": "Centers for Medicare and Medicaid Services (CMS)"
            }
          ]
        },
        "contactPoint": {
          "@type": "Kind",
          "fn": "CMS Program Statistics - OEDA",
          "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
        },
        "identifier": "https://data.cms.gov/data-api/v1/dataset/0dfe6e81-9c48-4c6e-baf1-411e5b32e4f5/data-viewer"
      }
    },
    {
      "@id": "https://data.cms.gov/data-api/v1/dataset/33be6c15-765c-424a-a2bf-a152d79dbd30/data",
      "@type": "DatasetSeries",
      "title": "CMS Program Statistics - Medicare Total Enrollment",
      "description": "The CMS Program Statistics - Medicare Total Enrollment tables provide data on characteristics of the Medicare-covered populations. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR ENROLL AB 1. Total Medicare Enrollment: Total, Original Medicare, and Medicare Advantage and Other Health Plan Enrollment, Yearly Trend MDCR ENROLL AB 2. Total Medicare Enrollment: Total, Original Medicare, Medicare Advantage and Other Health Plan Enrollment, and Resident Population, by Area of Residence MDCR ENROLL AB 3. Total Medicare Enrollment: Part A and/or Part B Total, Aged, and Disabled Enrollees, Yearly Trend MDCR ENROLL AB 4. Total Medicare Enrollment: Part A and/or Part B Enrollees, by Age Group, Yearly Trend MDCR ENROLL AB 5. Total Medicare Enrollment: Part A and/or Part B Enrollees, by Demographic Characteristics MDCR ENROLL AB 6. Total Medicare Enrollment: Part A and/or Part B Enrollees, by Type of Entitlement and Demographic Characteristics MDCR ENROLL AB 7. Total Medicare Enrollment: Part A and/or Part B Total, Aged, and Disabled Enrollees, by Area of Residence MDCR ENROLL AB 8. Total Medicare Enrollment: Part A and/or Part B Enrollees, by Type of Entitlement and Area of Residence",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare and Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "CMS Program Statistics - OEDA",
          "hasEmail": "mailto:IPAG_Data_Products@cms.hhs.gov"
        }
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      "@type": "DatasetSeries",
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    {
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      "publisher": {
        "@type": "Organization",
        "name": "Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)"
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    },
    {
      "@type": "DatasetSeries",
      "title": "Database for Genotypes and Phenotypes (dbGaP)",
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      "contactPoint": [
        {
          "@type": "Kind",
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      ],
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        "@type": "Organization",
        "name": "National Institute of Allergy and Infectious Diseases (NIAID)"
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    {
      "@type": "DatasetSeries",
      "title": "Database of human genomic Structural Variation (dbVar)",
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      "contactPoint": [
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          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
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      ],
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      "language": [
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        }
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      },
      "last": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/01edb62e-5c45-4f43-8c91-16cba21cbb74/data-viewer",
        "@type": "Dataset",
        "title": "Deficit Reduction Act Hospital-Acquired Condition Measures : 2025-01-01",
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    },
    {
      "@type": "DatasetSeries",
      "title": "Dfam",
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        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
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        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Dietary supplement label data",
      "description": "\"Dietary supplement label data- text and image- for populating the dietary supplement labels database.  The database is hosted and maintained at the General Service Administration’s cloud.gov and can be viewed at https://dsld.od.nih.gov/\n\nOnly dietary supplements sold in the United States are purchased.  Each product’s label text and corresponding label image are purchased in a uniform and consistent format in order to facilitate rapid importation into the database.  Label text from each unique dietary supplement label is submitted in a consistent and organized format in basic electronic data files with accessible fields and consistent with the database data schema specified.  \n\nThe data files are delivered for batch load via JSON format. The deliverables (label text and images) are submitted every month as a complete replacement of the previous version. Label image from each unique dietary supplement label is delivered in a consistent and organized format in a basic electronic PDF file with resolution suitable for Web display.  Data are required to follow the defined DSLD Data Definitions, Business Rules, and Data Schema.\"",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "NIH Office of the Director (OD)"
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    },
    {
      "@type": "DatasetSeries",
      "title": "Disease Ontology Knowledgebase (DO-KB)",
      "description": "The Disease Ontology Knowledgebase (DO-KB) provides access for exploring integrated disease mechanism and feature knowledge, semantically-defined within the Human Disease Ontology, serving as a reference framework for multiscale biomedical data integration and analysis within a unifying etiology-based disease classification.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
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        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)"
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    },
    {
      "@type": "DatasetSeries",
      "title": "Distributed Archives for Neurophysiology Data Integration (The DANDI Archive)",
      "description": "The BRAIN Initiative archive for publishing and sharing neurophysiology data including electrophysiology, optophysiology, and behavioral time-series, and images from immunostaining experiments.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Mental Health (NIMH)"
      }
    },
    {
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      "first": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/ba0c506c-a269-402d-baa9-4941b36c71b1/data-viewer",
        "@type": "Dataset",
        "title": "Federally Qualified Health Center Enrollments : 2023-10-28",
        "description": "The Federally Qualified Health Center (FQHC) Enrollments dataset provides enrollment information on all FQHCs currently enrolled in Medicare. This data includes information on the FQHC's legal business name, doing business as name, organization type, and address.",
        "publisher": {
          "@type": "Organization",
          "name": "Office of Enterprise Data and Analytics (OEDA)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Medicare and Medicaid Services (CMS)"
            }
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        },
        "contactPoint": {
          "@type": "Kind",
          "fn": "Provider Enrollment Data Requests - CPI",
          "hasEmail": "mailto:ProviderEnrollmentDataRequests@cms.hhs.gov"
        },
        "identifier": "https://data.cms.gov/data-api/v1/dataset/ba0c506c-a269-402d-baa9-4941b36c71b1/data-viewer"
      },
      "last": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/4bcae866-3411-439a-b762-90a6187c194b/data-viewer",
        "@type": "Dataset",
        "title": "Federally Qualified Health Center Enrollments : 2026-07-01",
        "description": "The Federally Qualified Health Center (FQHC) Enrollments dataset provides enrollment information on all FQHCs currently enrolled in Medicare. This data includes information on the FQHC's legal business name, doing business as name, organization type, and address.",
        "publisher": {
          "@type": "Organization",
          "name": "Office of Enterprise Data and Analytics (OEDA)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Medicare and Medicaid Services (CMS)"
            }
          ]
        },
        "contactPoint": {
          "@type": "Kind",
          "fn": "Provider Enrollment Data Requests - CPI",
          "hasEmail": "mailto:ProviderEnrollmentDataRequests@cms.hhs.gov"
        },
        "identifier": "https://data.cms.gov/data-api/v1/dataset/4bcae866-3411-439a-b762-90a6187c194b/data-viewer"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics Series",
      "description": "The ART Patient and Cycle Characteristics dataset series summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ARTINFO",
          "hasEmail": "mailto:ARTINFO@cdc.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "modified": "2024-12-18",
      "accrualPeriodicity": "continual",
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2023-06-23",
          "endDate": "2024-12-18"
        }
      ],
      "first": {
        "@type": "Dataset",
        "identifier": "knu9-e7pg",
        "title": "2020 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics",
        "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "National ART Surveillance System",
            "hasEmail": "mailto:cdcinfo@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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            {
              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
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                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "wrev-kwxu",
        "title": "2022 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics",
        "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "National ART Surveillance System",
            "hasEmail": "mailto:cdcinfo@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
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              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
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                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Final Assisted Reproductive Technology (ART) Services and Profiles Series",
      "description": "The Services and Profiles dataset series provides an overview of clinic services, the clinic's contact information, location, the medical director's name, and summary statistics.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ARTINFO",
          "hasEmail": "mailto:ARTINFO@cdc.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "modified": "2024-12-18",
      "accrualPeriodicity": "continual",
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2023-06-23",
          "endDate": "2024-12-18"
        }
      ],
      "first": {
        "@type": "Dataset",
        "identifier": "92ri-yjps",
        "title": "2020 Final Assisted Reproductive Technology (ART) Services and Profiles",
        "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinicâ€™s contact information, location, the medical directorâ€™s name, and summary statistics.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "National ART Surveillance System",
            "hasEmail": "mailto:cdcinfo@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
              "subOrganizationOf": [
                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "ix4g-rt8v",
        "title": "2022 Final Assisted Reproductive Technology (ART) Services and Profiles",
        "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinicâ€™s contact information, location, the medical directorâ€™s name, and summary statistics.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "National ART Surveillance System",
            "hasEmail": "mailto:cdcinfo@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
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                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Final Assisted Reproductive Technology (ART) Success Rates Series",
      "description": "The ART Success Rates dataset series contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ARTINFO",
          "hasEmail": "mailto:ARTINFO@cdc.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "modified": "2024-12-18",
      "accrualPeriodicity": "continual",
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2023-06-23",
          "endDate": "2024-12-18"
        }
      ],
      "first": {
        "@type": "Dataset",
        "identifier": "3x54-3thk",
        "title": "2020 Final Assisted Reproductive Technology (ART) Success Rates",
        "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all â€œPatients using their own eggsâ€ or for â€œPatients with no prior ART using their own eggs.â€ For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parentâ€™s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered researchâ€”that is, cycles performed to evaluate new procedures.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "National ART Surveillance System",
            "hasEmail": "mailto:cdcinfo@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
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                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "cchw-gdwa",
        "title": "2022 Final Assisted Reproductive Technology (ART) Success Rates",
        "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all â€œPatients using their own eggsâ€ or for â€œPatients with no prior ART using their own eggs.â€ For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parentâ€™s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered researchâ€”that is, cycles performed to evaluate new procedures.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "National ART Surveillance System",
            "hasEmail": "mailto:cdcinfo@cdc.gov"
          }
        ],
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          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
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                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Final Assisted Reproductive Technology (ART) Summary Series",
      "description": "The ART Summary dataset series provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment's success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient's chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ARTINFO",
          "hasEmail": "mailto:ARTINFO@cdc.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "modified": "2024-12-18",
      "accrualPeriodicity": "continual",
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-05-12",
          "endDate": "2024-12-18"
        }
      ],
      "first": {
        "@type": "Dataset",
        "identifier": "4yy2-qa9v",
        "title": "2020 Final Assisted Reproductive Technology (ART) Summary",
        "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatmentâ€™s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patientâ€™s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "National ART Surveillance System",
            "hasEmail": "mailto:cdcinfo@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
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                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "9tjt-seye",
        "title": "2022 Final Assisted Reproductive Technology (ART) Summary",
        "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatmentâ€™s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patientâ€™s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "National ART Surveillance System",
            "hasEmail": "mailto:cdcinfo@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Reproductive Health (DRH)",
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                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
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            }
          ]
        }
      }
    },
    {
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      "@type": "DatasetSeries",
      "title": "Fiscal Intermediary Shared System Attending and Rendering",
      "description": "The Fiscal Intermediary Shared System (FISS) Attending and Rendering dataset provides a list of those attending and rendering physicians for the FISS. FISS edits require that the Line Item Rendering Physician information be transmitted when providers submit a combined claim. Claims that include both facility and professional components, need to report the rendering physician or other practitioner at the line level if it differs from the rendering physician/practitioner reported at the claim level. Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare and Medicaid Services (CMS)"
          }
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      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Provider Enrollment Data Requests - CPI",
          "hasEmail": "mailto:ProviderEnrollmentDataRequests@cms.hhs.gov"
        }
      ],
      "identifier": "https://data.cms.gov/data-api/v1/dataset/75e8dcb2-78eb-4a7d-a377-9108441966db/data",
      "accessRights": "public",
      "sourceSite": "data.cms.gov",
      "sourceCatalog": "https://data.cms.gov/data.json",
      "language": [
        "en"
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2023-05-21",
          "endDate": "2026-09-19"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Fiscal Intermediary Shared System Attending and Rendering landing page",
        "accessURL": "https://data.cms.gov/provider-characteristics/medicare-provider-supplier-enrollment/fiscal-intermediary-shared-system-attending-and-rendering"
      },
      "describedBy": {
        "@type": "Distribution",
        "title": "Fiscal Intermediary Shared System Attending and Rendering data dictionary",
        "downloadURL": "https://data.cms.gov/resources/fiscal-intermediary-shared-system-attending-and-rendering-data-dictionary"
      },
      "keyword": [
        "Medicare",
        "Original Medicare",
        "Provider Enrollment"
      ],
      "theme": [
        "Medicare"
      ],
      "accrualPeriodicity": "R/P3.5D",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
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      "programCode": [
        "009:000"
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      "references": [
        "https://data.cms.gov/sites/default/files/2020-08/Fiscal%20Intermediary%20Standard%20System%20%28FISS%29.pdf"
      ],
      "first": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/3a59aa8b-46fb-4a5e-a255-c28494d53194/data-viewer",
        "@type": "Dataset",
        "title": "Fiscal Intermediary Shared System Attending and Rendering : 2023-06-01",
        "description": "The Fiscal Intermediary Shared System (FISS) Attending and Rendering dataset provides a list of those attending and rendering physicians for the FISS. FISS edits require that the Line Item Rendering Physician information be transmitted when providers submit a combined claim. Claims that include both facility and professional components, need to report the rendering physician or other practitioner at the line level if it differs from the rendering physician/practitioner reported at the claim level. Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.",
        "publisher": {
          "@type": "Organization",
          "name": "Office of Enterprise Data and Analytics (OEDA)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Medicare and Medicaid Services (CMS)"
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        },
        "contactPoint": {
          "@type": "Kind",
          "fn": "Provider Enrollment Data Requests - CPI",
          "hasEmail": "mailto:ProviderEnrollmentDataRequests@cms.hhs.gov"
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        "identifier": "https://data.cms.gov/data-api/v1/dataset/3a59aa8b-46fb-4a5e-a255-c28494d53194/data-viewer"
      },
      "last": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/75e8dcb2-78eb-4a7d-a377-9108441966db/data-viewer",
        "@type": "Dataset",
        "title": "Fiscal Intermediary Shared System Attending and Rendering : 2026-09-25",
        "description": "The Fiscal Intermediary Shared System (FISS) Attending and Rendering dataset provides a list of those attending and rendering physicians for the FISS. FISS edits require that the Line Item Rendering Physician information be transmitted when providers submit a combined claim. Claims that include both facility and professional components, need to report the rendering physician or other practitioner at the line level if it differs from the rendering physician/practitioner reported at the claim level. Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.",
        "publisher": {
          "@type": "Organization",
          "name": "Office of Enterprise Data and Analytics (OEDA)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Medicare and Medicaid Services (CMS)"
            }
          ]
        },
        "contactPoint": {
          "@type": "Kind",
          "fn": "Provider Enrollment Data Requests - CPI",
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      "@type": "DatasetSeries",
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      "description": "The Kids First Data Resource Center (Kids First DRC) provides robust genetic and clinical data for pediatric cancer and congenital disorders. Kids First data is accessible to researchers worldwide, free of charge, to help us understand these diseases better.",
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        "name": "National Cancer Institute (NCI)"
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    },
    {
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      "description": "The LONI Image Data Archive (IDA) is a user-friendly environment for archiving, searching, sharing, tracking and disseminating neuroimaging and related clinical data. The IDA is utilized for dozens of neuroimaging research projects across North America and Europe and accommodates MRI, PET, MRA, DTI and other imaging modalities.",
      "contactPoint": [
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        "@type": "Organization",
        "name": "Office of the Director (OD)"
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      "publisher": {
        "@type": "Organization",
        "name": "Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)"
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    },
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      ],
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      "@type": "DatasetSeries",
      "title": "Metabolomics Workbench - National Metabolomics Data Repository",
      "description": "The Metabolomics Workbench (MW) – National Metabolomics Data Repository (NMDR) is a unique data resource that serves the biomedical research community. It was started through the NIH Common Fund Metabolomics Initiative over a decade ago and has developed into a one-of-its-kind metabolomics data repository and resource. Projects ranging from independent investigator studies involving metabolic measurements (funded through R21 or R01 mechanisms) to large national initiatives, including several Common Fund-driven metabolomics studies, find their home in the NMDR. The NMDR contains almost 3000 studies, some very large, containing more than 1000 human subjects. The metabolomics data generated by the researchers can be submitted through easy and facile mechanisms that have evolved over the years by the MW. The MW-NMDR is widely regarded as one of the most FAIR (findable, accessible, interoperable, usable) data resources of its kind. The sunset associated with the Common Fund Projects has mandated the need for mechanisms to sustain data, such as the NMDR, and the RFA offers the mechanism for this perpetuation for the community. This proposal will address two essential aspects needed for the metabolomics resource. The first and primary objective of the MW-NMDR proposal is the continuation of the repository and resource along with the evolution of all features currently present in the infrastructure. The MW-NMDR receives approximately 50 study submissions, some very large, each month and offers mechanisms for easy upload of the data followed by curation by the MW team. It is subsequently transferred into a relational database along with the metadata to make the data discoverable. These mechanisms require continuous maintenance and updating. The MW also houses a metabolite structure database and RefMet, the reference metabolite classification and annotation system, which facilitates data harmonization. The metabolite database and RefMet require continuous updating, an essential task for the MW. The outreach and engagement of the biomedical research community is another need of the MW-NMDR; continuing this effort with additional mechanisms is a key objective.The second objective of the MW-NMDR proposal is the enhancement of the infrastructure through multiple mechanisms. First, the dramatic growth in the data warrants easy discovery mechanisms. Towards this, we will develop a graph database and query system, which will enable researchers to pose complex queries/filters to discover data and access them. We will develop a Neo4j graph database along with an interactive graph visualization interface that will facilitate dynamical queries in a cascading manner. This will obviate the need for a researcher to learn sophisticated computer skills. Second, we will develop a simple and accessible human subjects’ clinical metadata model to help create specified cohorts and the associated metabolomics data. Third, we plan to provide data in multiple formats using tools and interfaces. Finally, we will develop further the cloud aspects of MW-NMDR and provide AI-ML-ready datasets.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)"
      }
    },
    {
      "@id": "https://data.cms.gov/data-api/v1/dataset/4b50bbe6-a496-4eda-b03b-5f835937f81b/data",
      "@type": "DatasetSeries",
      "title": "Minimum Data Set Frequency",
      "description": "The Minimum Data Set (MDS) Frequency data summarizes health status indicators for active residents currently in nursing homes. The MDS is part of the Federally-mandated process for clinical assessment of all residents in Medicare and Medicaid certified nursing homes. This process provides a comprehensive assessment of each resident's functional capabilities and helps nursing home staff identify health problems. Care Area Assessments (CAAs) are part of this process, and provide the foundation upon which a resident's individual care plan is formulated. MDS assessments are completed for all residents in certified nursing homes, regardless of source of payment for the individual resident. MDS assessments are required for residents on admission to the nursing facility, periodically, and on discharge. All assessments are completed within specific guidelines and time frames. In most cases, participants in the assessment process are licensed health care professionals employed by the nursing home. MDS information is transmitted electronically by nursing homes to the national MDS database at CMS. When reviewing the MDS 3.0 Frequency files, some common software programs e.g., ‘Microsoft Excel’ might inaccurately strip leading zeros from designated code values (i.e., \"01\" becomes \"1\") or misinterpret code ranges as dates (i.e., O0600 ranges such as 02-04 are misread as 04-Feb). As each piece of software is unique, if you encounter an issue when reading the CSV file of Frequency data, please open the file in a plain text editor such as ‘Notepad’ or ‘TextPad’ to review the underlying data, before reaching out to CMS for assistance.",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare and Medicaid Services (CMS)"
          }
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      },
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Minimum Data Set Frequency - CCSQ",
          "hasEmail": "mailto:iqies@cms.hhs.gov"
        }
      ],
      "identifier": "https://data.cms.gov/data-api/v1/dataset/4b50bbe6-a496-4eda-b03b-5f835937f81b/data",
      "accessRights": "public",
      "sourceSite": "data.cms.gov",
      "sourceCatalog": "https://data.cms.gov/data.json",
      "language": [
        "en"
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-01",
          "endDate": "2026-06-30"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Minimum Data Set Frequency landing page",
        "accessURL": "https://data.cms.gov/quality-of-care/minimum-data-set-frequency"
      },
      "describedBy": {
        "@type": "Distribution",
        "title": "Minimum Data Set Frequency data dictionary",
        "downloadURL": "https://data.cms.gov/resources/minimum-data-set-frequency-data-dictionary"
      },
      "keyword": [
        "Medicare",
        "Medicaid"
      ],
      "theme": [
        "Medicare",
        "Medicaid"
      ],
      "accrualPeriodicity": "quarterly",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "references": [
        "https://data.cms.gov/resources/minimum-data-set-frequency-methodology"
      ],
      "first": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/a132868e-43e3-4b7e-9089-483f321b13fe/data-viewer",
        "@type": "Dataset",
        "title": "Minimum Data Set Frequency : 2020-01-02",
        "description": "The Minimum Data Set (MDS) Frequency data summarizes health status indicators for active residents currently in nursing homes. The MDS is part of the Federally-mandated process for clinical assessment of all residents in Medicare and Medicaid certified nursing homes. This process provides a comprehensive assessment of each resident's functional capabilities and helps nursing home staff identify health problems. Care Area Assessments (CAAs) are part of this process, and provide the foundation upon which a resident's individual care plan is formulated. MDS assessments are completed for all residents in certified nursing homes, regardless of source of payment for the individual resident. MDS assessments are required for residents on admission to the nursing facility, periodically, and on discharge. All assessments are completed within specific guidelines and time frames. In most cases, participants in the assessment process are licensed health care professionals employed by the nursing home. MDS information is transmitted electronically by nursing homes to the national MDS database at CMS. When reviewing the MDS 3.0 Frequency files, some common software programs e.g., ‘Microsoft Excel’ might inaccurately strip leading zeros from designated code values (i.e., \"01\" becomes \"1\") or misinterpret code ranges as dates (i.e., O0600 ranges such as 02-04 are misread as 04-Feb). As each piece of software is unique, if you encounter an issue when reading the CSV file of Frequency data, please open the file in a plain text editor such as ‘Notepad’ or ‘TextPad’ to review the underlying data, before reaching out to CMS for assistance.",
        "publisher": {
          "@type": "Organization",
          "name": "Office of Enterprise Data and Analytics (OEDA)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Medicare and Medicaid Services (CMS)"
            }
          ]
        },
        "contactPoint": {
          "@type": "Kind",
          "fn": "Minimum Data Set Frequency - CCSQ",
          "hasEmail": "mailto:iqies@cms.hhs.gov"
        },
        "identifier": "https://data.cms.gov/data-api/v1/dataset/a132868e-43e3-4b7e-9089-483f321b13fe/data-viewer"
      },
      "last": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/4b50bbe6-a496-4eda-b03b-5f835937f81b/data-viewer",
        "@type": "Dataset",
        "title": "Minimum Data Set Frequency : 2026-04-01",
        "description": "The Minimum Data Set (MDS) Frequency data summarizes health status indicators for active residents currently in nursing homes. The MDS is part of the Federally-mandated process for clinical assessment of all residents in Medicare and Medicaid certified nursing homes. This process provides a comprehensive assessment of each resident's functional capabilities and helps nursing home staff identify health problems. Care Area Assessments (CAAs) are part of this process, and provide the foundation upon which a resident's individual care plan is formulated. MDS assessments are completed for all residents in certified nursing homes, regardless of source of payment for the individual resident. MDS assessments are required for residents on admission to the nursing facility, periodically, and on discharge. All assessments are completed within specific guidelines and time frames. In most cases, participants in the assessment process are licensed health care professionals employed by the nursing home. MDS information is transmitted electronically by nursing homes to the national MDS database at CMS. When reviewing the MDS 3.0 Frequency files, some common software programs e.g., ‘Microsoft Excel’ might inaccurately strip leading zeros from designated code values (i.e., \"01\" becomes \"1\") or misinterpret code ranges as dates (i.e., O0600 ranges such as 02-04 are misread as 04-Feb). As each piece of software is unique, if you encounter an issue when reading the CSV file of Frequency data, please open the file in a plain text editor such as ‘Notepad’ or ‘TextPad’ to review the underlying data, before reaching out to CMS for assistance.",
        "publisher": {
          "@type": "Organization",
          "name": "Office of Enterprise Data and Analytics (OEDA)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Medicare and Medicaid Services (CMS)"
            }
          ]
        },
        "contactPoint": {
          "@type": "Kind",
          "fn": "Minimum Data Set Frequency - CCSQ",
          "hasEmail": "mailto:iqies@cms.hhs.gov"
        },
        "identifier": "https://data.cms.gov/data-api/v1/dataset/4b50bbe6-a496-4eda-b03b-5f835937f81b/data-viewer"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "MoTrPAC Data Hub",
      "description": "The MoTrPAC Data Hub is the portal to access data generated by the Molecular Transducers of Physical Activity Consortium (MoTrPAC).  The Data Hub allows researchers to access data from preclinical animal studies, and from the MoTrPAC clinical study.  Data includes phenotypic and muti-omic data from up to 19 different animal tissues; and clinical and muti-omic data from human exercise studies",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Common Fund"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Molecular Signatures Database (MSigDB)",
      "description": "The Molecular Signatures Database (MSigDB) is a resource of tens of thousands of annotated gene sets for use with Gene Set Enrichment Analysis (GSEA) software, divided into Human and Mouse collections.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Cancer Institute (NCI)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Monarch Initiative",
      "description": "The Monarch Initiative is an integrative data and analytic platform connecting phenotypes to genotypes across species, bridging basic and applied research with semantics-based analysis. The correlation of phenotypic outcomes and disease with genetic variation and environmental factors is a core pursuit in biology and biomedicine. We have created or currently contribute to many essential bio-ontologies that together enable sophisticated and semantically integrated computational analysis across gene, genotype, variant, disease, and phenotype data. We have developed algorithms and tools that are in use by multiple communities for tasks including the identification of animal models of human disease through phenotypic similarity, phenotype-driven computational support for differential diagnostics, and translational research.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Research Infrastructure Programs (ORIP)"
      }
    },
    {
      "@id": "https://data.cms.gov/data-api/v1/dataset/cb2a224f-4d52-4cae-aa55-8c00c671384f/data",
      "@type": "DatasetSeries",
      "title": "Monthly Prescription Drug Plan Formulary and Pharmacy Network Information",
      "description": "The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information files contain formulary and pharmacy network data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). These non-identifiable files are available on a monthly basis and are comprised of the following tables:Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type.Geographic Locator - MA and Prescription Drug Plans region codes and county codes.Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, prior authorization, and a newly added Selected Drug flag.Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only).Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies.Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators, and brand, generic, and selected drug dispensing fees for 30/60/90 days supply, respectively.Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan.Insulin Beneficiary Cost File - Plan level copay and coinsurance amounts for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information is also available to access for the quarterly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2026 data is available in the October, November and December 2025 monthly files. Year 2026 data continues to be available in the January through September 2026 monthly files, then beginning in October of 2026 year 2027 data becomes available.Estimated release dates for upcoming monthly data (files reflect data for the month in which the file is released):10/15/2611/25/2612/23/261/20/272/17/273/17/274/28/275/26/276/23/277/21/278/18/279/29/27Files older than contract year 2019 can be purchased.",
      "publisher": {
        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "Centers for Medicare and Medicaid Services (CMS)"
          }
        ]
      },
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Plan Finder - CM",
          "hasEmail": "mailto:planfinderqa@cms.hhs.gov"
        }
      ],
      "identifier": "https://data.cms.gov/data-api/v1/dataset/cb2a224f-4d52-4cae-aa55-8c00c671384f/data",
      "accessRights": "public",
      "sourceSite": "data.cms.gov",
      "sourceCatalog": "https://data.cms.gov/data.json",
      "language": [
        "en"
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-01-01",
          "endDate": "2026-09-30"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Monthly Prescription Drug Plan Formulary and Pharmacy Network Information landing page",
        "accessURL": "https://data.cms.gov/provider-summary-by-type-of-service/medicare-part-d-prescribers/monthly-prescription-drug-plan-formulary-and-pharmacy-network-information"
      },
      "describedBy": {
        "@type": "Distribution",
        "title": "Monthly Prescription Drug Plan Formulary and Pharmacy Network Information data dictionary",
        "downloadURL": "https://data.cms.gov/sites/default/files/2025-10/0564eb37-402d-4110-bd98-2d5399dc30e7/PUFRecordLayout-2026.pdf",
        "mediaType": "application/pdf"
      },
      "keyword": [
        "Medicare",
        "Medicare Advantage",
        "Medicare Prescription Drug",
        "All Other Provider Care Types",
        "Drugs",
        "Health Care Use & Payments"
      ],
      "theme": [
        "Medicare"
      ],
      "accrualPeriodicity": "monthly",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "references": [
        "https://data.cms.gov/sites/default/files/2025-10/8f1d8b42-bfd1-4f9c-b86d-b92af0c6f3d5/Methodology-PUF-2026.pdf"
      ],
      "first": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/ef143e53-97b2-4009-8372-c63b479d2ffd/data-viewer",
        "@type": "Dataset",
        "title": "Monthly Prescription Drug Plan Formulary and Pharmacy Network Information : 2019-01-02",
        "description": "The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information files contain formulary and pharmacy network data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). These non-identifiable files are available on a monthly basis and are comprised of the following tables:Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type.Geographic Locator - MA and Prescription Drug Plans region codes and county codes.Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, prior authorization, and a newly added Selected Drug flag.Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only).Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies.Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators, and brand, generic, and selected drug dispensing fees for 30/60/90 days supply, respectively.Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan.Insulin Beneficiary Cost File - Plan level copay and coinsurance amounts for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information is also available to access for the quarterly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2026 data is available in the October, November and December 2025 monthly files. Year 2026 data continues to be available in the January through September 2026 monthly files, then beginning in October of 2026 year 2027 data becomes available.Estimated release dates for upcoming monthly data (files reflect data for the month in which the file is released):10/15/2611/25/2612/23/261/20/272/17/273/17/274/28/275/26/276/23/277/21/278/18/279/29/27Files older than contract year 2019 can be purchased.",
        "publisher": {
          "@type": "Organization",
          "name": "Office of Enterprise Data and Analytics (OEDA)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Medicare and Medicaid Services (CMS)"
            }
          ]
        },
        "contactPoint": {
          "@type": "Kind",
          "fn": "Plan Finder - CM",
          "hasEmail": "mailto:planfinderqa@cms.hhs.gov"
        },
        "identifier": "https://data.cms.gov/data-api/v1/dataset/ef143e53-97b2-4009-8372-c63b479d2ffd/data-viewer"
      },
      "last": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/65b3dbc0-3cb9-4809-9d0a-64af7ace0630/data-viewer",
        "@type": "Dataset",
        "title": "Monthly Prescription Drug Plan Formulary and Pharmacy Network Information : 2026-09-23",
        "description": "The Monthly Prescription Drug Plan Formulary and Pharmacy Network Information files contain formulary and pharmacy network data for Medicare Prescription Drug Plans and Medicare Advantage (MA) Prescription Drug Plans (with the exception of employer and Program of All-Inclusive Care for the Elderly plans). These non-identifiable files are available on a monthly basis and are comprised of the following tables:Plan Information - Information such as plan name, contract ID, plan ID, service area, and plan type.Geographic Locator - MA and Prescription Drug Plans region codes and county codes.Basic Drugs Formulary - Formulary details for each plan including National Drug Codes (NDCs), cost share tier level, and indicators for step therapy, quantity limits, prior authorization, and a newly added Selected Drug flag.Excluded Drugs Formulary - Enhanced alternative plans may elect to provide a supplemental benefit and cover excluded drugs. File includes formulary details for excluded drugs that are covered by the plan (for enhanced alternative plans only).Beneficiary Cost - Plan level cost sharing details for preferred, non-preferred, and mail order network pharmacies.Pharmacy Network - National Provider Identifier (NPI) numbers for each network pharmacy including preferred, retail, and mail order indicators, and brand, generic, and selected drug dispensing fees for 30/60/90 days supply, respectively.Indication Based Coverage Formulary File - Includes drugs covered based on FDA-approved indication for each plan.Insulin Beneficiary Cost File - Plan level copay and coinsurance amounts for insulin at preferred, non-preferred and mail order network pharmacies. These are large files and can take time to download. Please read the “Agreement for Use” in the Resources section below. This document contains important information regarding timeframes for obtaining data as well as data accuracy and integrity. The Quarterly Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information is also available to access for the quarterly level information. Please note: The Part D benefit year information for plans become available in October of the year prior. For example, year 2026 data is available in the October, November and December 2025 monthly files. Year 2026 data continues to be available in the January through September 2026 monthly files, then beginning in October of 2026 year 2027 data becomes available.Estimated release dates for upcoming monthly data (files reflect data for the month in which the file is released):10/15/2611/25/2612/23/261/20/272/17/273/17/274/28/275/26/276/23/277/21/278/18/279/29/27Files older than contract year 2019 can be purchased.",
        "publisher": {
          "@type": "Organization",
          "name": "Office of Enterprise Data and Analytics (OEDA)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Medicare and Medicaid Services (CMS)"
            }
          ]
        },
        "contactPoint": {
          "@type": "Kind",
          "fn": "Plan Finder - CM",
          "hasEmail": "mailto:planfinderqa@cms.hhs.gov"
        },
        "identifier": "https://data.cms.gov/data-api/v1/dataset/65b3dbc0-3cb9-4809-9d0a-64af7ace0630/data-viewer"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Mouse Models of Human Cancer Database",
      "description": "MMHCdb is a comprehensive, expertly curated resource of diverse mouse models of human cancer.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Cancer Institute (NCI)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Mouse Phenome Database",
      "description": "The Mouse Phenome Database is a collaborative standardized collection of measured data on laboratory mouse strains. Its purpose is to characterize mouse strains in order to facilitate translational discoveries and to assist in selection of strains for experimental studies. The database includes baseline phenotype data sets as well as studies of drug, diet, disease and aging effect. Also includes protocols, projects and publications, and SNP, variation and gene expression studies. Data sets are voluntarily contributed by researchers from a variety of institutions and settings, or in some cases retrieved by The Jackson Laboratory from open public sources.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute on Drug Abuse (NIDA)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Musculoskeletal Knowledge Portal",
      "description": "The Musculoskeletal Knowledge Portal enables browsing, searching, and analysis of human genetic and genomic information linked to musculoskeletal traits and diseases, while protecting the integrity and confidentiality of the underlying data",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "N-MHSS Public Use Files",
      "description": "Annual survey series providing data on the location, characteristics, services, and utilization of mental health treatment facilities in the United States. The series supports behavioral health planning, program monitoring, policy development, and research. N-MHSS was the predecessor to the mental health component of the National Substance Use and Mental Health Services Survey (N-SUMHSS).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "SAMHSA Center for Behavioral Health Statistics and Quality (CBHSQ)",
          "hasEmail": "mailto:SAMHSAInfo@samhsa.hhs.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States and Jurisdictions"
        }
      ],
      "accrualPeriodicity": "annually",
      "publisher": {
        "@type": "Organization",
        "name": "Center for Behavioral Health Statistics and Quality (CBHSQ)"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2020-12-31"
        }
      ],
      "@id": "https://www.samhsa.gov/data/data-we-collect/n-sumhss-national-substance-use-and-mental-health-services-survey/datafiles?year=2010&data_collection=1051",
      "first": {
        "@type": "Dataset",
        "identifier": "https://www.samhsa.gov/data/data-we-collect/n-sumhss-national-substance-use-and-mental-health-services-survey/datafiles?year=2010&data_collection=1051",
        "title": "National Mental Health Services Survey (N-MHSS), 2010",
        "description": "The National Mental Health Services Survey (N-MHSS) is an annual census of all known facilities in the United States, both public and private, that provide mental health treatment services to people with mental illness. N-MHSS is designed to collect data on the location, characteristics, and utilization of organized mental health treatment services for facilities within the scope of the survey throughout the 50 states, the District of Columbia, Puerto Rico, and other jurisdictions. This N-MHSS dataset is for the year 2010.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "SAMHSA Center for Behavioral Health Statistics and Quality (CBHSQ)",
            "hasEmail": "mailto:SAMHSAInfo@samhsa.hhs.gov"
          }
        ],
        "publisher": {
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          "name": "Center for Behavioral Health Statistics and Quality (CBHSQ)",
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            {
              "@type": "Organization",
              "name": "Substance Abuse and Mental Health Services Administration (SAMHSA)",
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                {
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                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "https://www.samhsa.gov/data/data-we-collect/n-sumhss-national-substance-use-and-mental-health-services-survey/datafiles?year=2020&data_collection=1172",
        "title": "National Mental Health Services Survey (N-MHSS), 2020",
        "description": "The National Mental Health Services Survey (N-MHSS) is an annual census of all known facilities in the United States, both public and private, that provide mental health treatment services to people with mental illness. N-MHSS is designed to collect data on the location, characteristics, and utilization of organized mental health treatment services for facilities within the scope of the survey throughout the 50 states, the District of Columbia, Puerto Rico, and other jurisdictions. This N-MHSS dataset is for the year 2020.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "SAMHSA Center for Behavioral Health Statistics and Quality (CBHSQ)",
            "hasEmail": "mailto:SAMHSAInfo@samhsa.hhs.gov"
          }
        ],
        "publisher": {
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          "name": "Center for Behavioral Health Statistics and Quality (CBHSQ)",
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            {
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              "name": "Substance Abuse and Mental Health Services Administration (SAMHSA)",
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                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "N-SSATS Public Use Files",
      "description": "Annual survey series providing data on the location, characteristics, services, and utilization of substance use treatment facilities in the United States. The series supports behavioral health planning, program monitoring, policy development, and research. N-SSATS was the predecessor to the National Substance Use and Mental Health Services Survey (N-SUMHSS).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "SAMHSA Center for Behavioral Health Statistics and Quality (CBHSQ)",
          "hasEmail": "mailto:SAMHSAInfo@samhsa.hhs.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States and Jurisdictions"
        }
      ],
      "accrualPeriodicity": "annually",
      "publisher": {
        "@type": "Organization",
        "name": "Center for Behavioral Health Statistics and Quality (CBHSQ)"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2013-12-31"
        }
      ],
      "@id": "https://www.samhsa.gov/data/data-we-collect/n-sumhss-national-substance-use-and-mental-health-services-survey/datafiles?year=2000&data_collection=1104",
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        "@type": "Dataset",
        "identifier": "https://www.samhsa.gov/data/data-we-collect/n-sumhss-national-substance-use-and-mental-health-services-survey/datafiles?year=2000&data_collection=1104",
        "title": "National Survey of Substance Abuse Treatment Services (N-SSATS), 2000",
        "description": "The National Survey of Substance Abuse Treatment Services (N-SSATS) is an annual census of facilities providing substance abuse treatment, conducted by the Substance Abuse and Mental Health Services Administration (SAMHSA). It is designed to collect data on the location, characteristics, and use of alcohol and drug abuse treatment facilities and services throughout the 50 states, the District of Columbia, and other U.S. jurisdictions. This N-SSATS dataset is for the year 2000.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "SAMHSA Center for Behavioral Health Statistics and Quality (CBHSQ)",
            "hasEmail": "mailto:SAMHSAInfo@samhsa.hhs.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "Center for Behavioral Health Statistics and Quality (CBHSQ)",
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            {
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              "name": "Substance Abuse and Mental Health Services Administration (SAMHSA)",
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                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "https://www.samhsa.gov/data/data-we-collect/n-sumhss-national-substance-use-and-mental-health-services-survey/datafiles/n-ssats-2013",
        "title": "National Survey of Substance Abuse Treatment Services (N-SSATS), 2013",
        "description": "The National Survey of Substance Abuse Treatment Services (N-SSATS) is an annual census of facilities providing substance abuse treatment, conducted by the Substance Abuse and Mental Health Services Administration (SAMHSA). It is designed to collect data on the location, characteristics, and use of alcohol and drug abuse treatment facilities and services throughout the 50 states, the District of Columbia, and other U.S. jurisdictions. This N-SSATS dataset is for the year 2013.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "SAMHSA Center for Behavioral Health Statistics and Quality (CBHSQ)",
            "hasEmail": "mailto:SAMHSAInfo@samhsa.hhs.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "Center for Behavioral Health Statistics and Quality (CBHSQ)",
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            {
              "@type": "Organization",
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              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "N-SUMHSS Public Use Files",
      "description": "Annual survey series providing data on the location, characteristics, services, and utilization of substance use and mental health treatment facilities in the United States and U.S. territories. The series supports behavioral health planning, program monitoring, policy development, and research by collecting information on facility operations, services, and populations served. N-SUMHSS integrates the former National Survey of Substance Abuse Treatment Services (N-SSATS) and National Mental Health Services Survey (N-MHSS) into a single annual survey.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "SAMHSA Center for Behavioral Health Statistics and Quality (CBHSQ)",
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      ],
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      "publisher": {
        "@type": "Organization",
        "name": "Center for Behavioral Health Statistics and Quality (CBHSQ)"
      },
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        {
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          "startDate": "2021-01-01",
          "endDate": "2024-12-31"
        }
      ],
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      "first": {
        "@type": "Dataset",
        "identifier": "https://www.samhsa.gov/data/data-we-collect/n-sumhss-national-substance-use-and-mental-health-services-survey/datafiles/2021",
        "title": "National Substance Use and Mental Health Services Survey (N-SUMHSS), 2021",
        "description": "The National Substance Use and Mental Health Services Survey (N-SUMHSS) is an annual survey to collect information about facilities that provide substance use treatment and mental health services across the United States. The survey gathers data on the types of services offered, populations served, treatment approaches, payment options, and facility characteristics. This information supports policy development, research, program planning, and public access to behavioral health services. N-SUMHSS data are also used to populate SAMHSA's FindTreatment.gov directory, helping individuals locate appropriate care. This N-SUMHSS dataset is for the year 2021.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "SAMHSA Center for Behavioral Health Statistics and Quality (CBHSQ)",
            "hasEmail": "mailto:SAMHSAInfo@samhsa.hhs.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "Center for Behavioral Health Statistics and Quality (CBHSQ)",
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            {
              "@type": "Organization",
              "name": "Substance Abuse and Mental Health Services Administration (SAMHSA)",
              "subOrganizationOf": [
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                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "https://www.samhsa.gov/data/data-we-collect/n-sumhss-national-substance-use-and-mental-health-services-survey/datafiles/2024",
        "title": "National Substance Use and Mental Health Services Survey (N-SUMHSS), 2024",
        "description": "The National Substance Use and Mental Health Services Survey (N-SUMHSS) is an annual survey to collect information about facilities that provide substance use treatment and mental health services across the United States. The survey gathers data on the types of services offered, populations served, treatment approaches, payment options, and facility characteristics. This information supports policy development, research, program planning, and public access to behavioral health services. N-SUMHSS data are also used to populate SAMHSA's FindTreatment.gov directory, helping individuals locate appropriate care. This N-SUMHSS dataset is for the year 2024.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "SAMHSA Center for Behavioral Health Statistics and Quality (CBHSQ)",
            "hasEmail": "mailto:SAMHSAInfo@samhsa.hhs.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "Center for Behavioral Health Statistics and Quality (CBHSQ)",
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            {
              "@type": "Organization",
              "name": "Substance Abuse and Mental Health Services Administration (SAMHSA)",
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                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "@id": "https://acl.gov/programs/elder-justice/national-adult-maltreatment-reporting-system-namrs#annual-reports",
      "identifier": "https://acl.gov/programs/elder-justice/national-adult-maltreatment-reporting-system-namrs#annual-reports",
      "title": "NAMRS Annual Reports",
      "description": "Annual NAMRS reports covering the Agency, Case, and Key Indicators components of Adult Protective Services data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Stephanie Whittier Eliason (ACL Program Officer)",
          "hasEmail": "mailto:Stephanie.WhittierEliason@acl.hhs.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Community Living",
        "subOrganizationOf": [
          {
            "@type": "Organization",
            "name": "U.S. Department of Health and Human Services"
          }
        ]
      },
      "accrualPeriodicity": "annual",
      "landingPage": {
        "@type": "Document",
        "title": "National Adult Maltreatment Reporting System (NAMRS)",
        "accessURL": "https://acl.gov/programs/elder-justice/national-adult-maltreatment-reporting-system-namrs"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2020-12-31"
        }
      ]
    },
    {
      "@type": "DatasetSeries",
      "title": "NCATS OpenData Portal",
      "description": "The NCATS OpenData Portal (ODP) is a resource designed to rapidly and openly share NCATS data. The initial datasets shared via the ODP comprised screening data and assay information. NCATS scientists developed a number of SARS-CoV-2-related assays to measure over 10,000 compounds - including over 3,000 approved drugs - for their activity against the virus. These data include all positive and negative results from a diverse panel of repurposing screens, and can be viewed, searched and exported directly from the portal website.  The resource is flexible in accommodating various types and structures of data, and it has already expanded since its launch to host additional datasets for COVID-19, viruses of pandemic potential, and beyond. The ODP has been designed as a scalable platform for real-time data sharing across discovery campaigns, regardless of disease area, with the overarching goal of accelerating discovery at NCATS, the NIH, and the greater scientific community.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Center for Advancing Translational Sciences (NCATS)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "NCBI Datasets: Gene,  Genome, Assembly, Orthologs, and Taxonomy Database",
      "description": "NCBI Datasets is both a knowledge base and an access point for data. It provides descriptive information about Genes, Genomes, Orthologs, and Taxonomic classification, as well as interfaces to download gene, ortholog, and genomic data and metadata.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Library of Medicine (NLM)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "NEI BRICS",
      "description": "BRICS, an enterprise solution, is a collaborative and extensible web-based system to support the collection of research studies and clinical trials, using a set of modular components that cover all stages of the research life cycle. Importantly it's also a comprehensive integrated, end-to-end platform for clinical trial management, which allow investigators to design, conduct and manage studies easily and securely.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Eye Institute (NEI)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "NEI Data Commons",
      "description": "The NEI Data Commons provides the vision research community with a central website to fine NEI supported data and resources.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Eye Institute (NEI)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL)",
      "description": "The NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL) is a cloud-based genomic data sharing and analysis platform.  AnVIL facilitates integration and computing on and across large datasets generated by NHGRI programs, as well as initiatives funded by National Institutes of Health (NIH), or by other agencies that support human genomics research.  AnVIL is a component of the emerging federated data ecosystem and actively collaborates and integrates with other genomic data resources through the adoption of the FAIR (Findable, Accessible, Interoperable, Reusable) principles. AnVIL provides a collaborative environment and interfaces for consortia and researchers. AnVIL  offers training and functionality for users that have limited computational expertise as well as sophisticated data scientist users.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "NHSDA Public Use Files",
      "description": "The National Household Survey on Drug Abuse (NHSDA) dataset series’ primary purpose is to measure the prevalence of and correlates drug use in the United States. This survey series provides information about the use of illicit drugs, alcohol, and tobacco among members of the noninstitutionalized U.S. civilian population aged 12 or older. Surveys have been conducted periodically since 1971, with the most recent ones in 1979, 1982, 1985, 1988, and 1990 through 2000. Currently, public use files are available for surveys from 1979 through 2001.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "SAMHSA Center for Behavioral Health Statistics and Quality (CBHSQ)",
          "hasEmail": "mailto:SAMHSAInfo@samhsa.hhs.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "accrualPeriodicity": "annually",
      "publisher": {
        "@type": "Organization",
        "name": "Center for Behavioral Health Statistics and Quality (CBHSQ)"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1979-01-01",
          "endDate": "2001-12-31"
        }
      ],
      "@id": "https://www.samhsa.gov/data/data-we-collect/nsduh-national-survey-drug-use-and-health/datafiles/1979",
      "first": {
        "@type": "Dataset",
        "identifier": "https://www.samhsa.gov/data/data-we-collect/nsduh-national-survey-drug-use-and-health/datafiles/1979",
        "title": "NSDUH: Public-use Data (1979)",
        "description": "The National Household Survey on Drug Abuse (NHSDA) annual survey dataset providing nationally representative data on substance use and related behaviors among the U.S. civilian, noninstitutionalized population aged 12 and older. NHSDA measured the prevalence and patterns of alcohol, tobacco, and illicit drug use and served as the predecessor to the National Survey on Drug Use and Health (NSDUH), which began in 2002. This NHSDA dataset’s time period covers the year 1979.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "SAMHSA Center for Behavioral Health Statistics and Quality (CBHSQ)",
            "hasEmail": "mailto:SAMHSAInfo@samhsa.hhs.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "Center for Behavioral Health Statistics and Quality (CBHSQ)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Substance Abuse and Mental Health Services Administration (SAMHSA)",
              "subOrganizationOf": [
                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "https://www.samhsa.gov/data/data-we-collect/nsduh-national-survey-drug-use-and-health/datafiles/2001",
        "title": "NSDUH: Public-use Data (2001)",
        "description": "The National Household Survey on Drug Abuse (NHSDA) annual survey dataset providing nationally representative data on substance use and related behaviors among the U.S. civilian, noninstitutionalized population aged 12 and older. NHSDA measured the prevalence and patterns of alcohol, tobacco, and illicit drug use and served as the predecessor to the National Survey on Drug Use and Health (NSDUH), which began in 2002. This NHSDA dataset’s time period covers the year 2001.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "SAMHSA Center for Behavioral Health Statistics and Quality (CBHSQ)",
            "hasEmail": "mailto:SAMHSAInfo@samhsa.hhs.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "Center for Behavioral Health Statistics and Quality (CBHSQ)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Substance Abuse and Mental Health Services Administration (SAMHSA)",
              "subOrganizationOf": [
                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "NIA Data Linkage Program",
      "description": "The purpose of the Program is to link NIA-funded study data with existing datasets from Centers for Medicare & Medicaid Services (CMS) and other sources and establish a cloud-based environment to support data accessibility and sharing. In providing these resources free of charge, LINKAGE aims to reduce resource cost and time barriers and promote access for researchers.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute on Aging (NIA)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "NIA Genetics of Alzheimer's Disease Data Storage Site (NIAGADS)",
      "description": "The National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site (NIAGADS) is a national genetics data repository facilitating access to genotypic and phenotypic data for Alzheimer's disease (AD) for the Alzheimer‚Äôs Disease Sequencing Project (ADSP). Data include GWAS, whole genome (WGS) and whole exome (WES), expression, RNA Seq, and CHIP Seq analyses. Phenotypic/clinical data for participants are harmonized across all study cohorts. Results are integrated and annotated in the searchable genomics database that also provides access to a variety of software packages, analytic pipelines, online resources, and web-based tools to facilitate analysis and interpretation of large-scale genomic data. Data are available as defined by the NIA Genomics of Alzheimer‚Äôs Disease Sharing Policy and the NIH Genomics Data Sharing Policy. Investigators return secondary analysis data to the database in keeping with the NIAGADS Data Distribution Agreement.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute on Aging (NIA)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "NIAAA Controlled Datasets",
      "description": "Datasets from NIAAA contract-supported research are available to qualified researchers. Study details and instructions to access each dataset can be found by selecting the study of interest.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute on Alcohol Abuse and Alcoholism (NIAAA)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "NIAAA Data Archive",
      "description": "The NIAAA Data Archive (NIAAADA) is controlled-access data repository of NIAAA-funded studies that include human subjects. NIAAA-funded investigators conducting human subjects research are expected to submit de-identified, individual-level data to this data archive. NIAAADA is a data enclave within the NIMH Data Archive (NDA).",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute on Alcohol Abuse and Alcoholism (NIAAA)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "NIAID-DOE LANL HIV Database and Analysis Unit",
      "description": "The objective of this repository is to (a) provide a centralized resource of comprehensive data on HIV genetic sequences and immunological epitopes by compiling, annotating, and maintaining a relational database, and (b) develop HIV sequence and molecular immunology analysis methods and tools with searchable web interfaces to assist with design and development of vaccine and therapies.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Allergy and Infectious Diseases (NIAID)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "NICHD Data and Specimen Hub (DASH)",
      "description": "NICHD DASH is an NICHD-funded controlled access data repository established to facilitate data sharing and access to biospecimens for all NICHD clinical research.  Researchers funded by or seeking funding from NICHD for Clinical research should share data in DASH.  Researchers seeking funding from another NIH Institute or Center in a research area relevant to the NICHD mission may also be able to share data through DASH.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "NIDA Center for Genetics Studies",
      "description": "The National Institute on Drug Abuse, in collaboration with the National Institutes of Health, has established the NIDA Center for Genetic Studies, also known as the NIDA Genetic Repository, under a contract to Rutgers University, via Sampled, and its subcontractor, Washington University School of Medicine, to produce, store, and distribute clinical data and biomaterials (DNA samples and cell lines) available in the NIDA Genetics Initiative.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute on Drug Abuse (NIDA)"
      }
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    {
      "@type": "DatasetSeries",
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      "description": "The NIDA Data Share web site is an electronic environment that allows data from completed clinical trials to be distributed to investigators and the public in order to promote new research, encourage further analyses, and disseminate information to the community. Secondary analyses produced from data sharing multiply the scientific contribution of the original research. NIH expects and supports the timely release and sharing of final research data from NIH-supported studies for use by other researchers to expedite the translation of research results into knowledge, products and procedures to improve human health.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
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        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute on Drug Abuse (NIDA)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "NIDDK-Central Repository Resources for Research (NIDDK-CR R4R)",
      "description": "NIDDK Central Repository - Resources for Research (NIDDK-CR R4R) facilitates sharing of data, biospecimens, and other resources generated from studies supported by NIDDK and within NIDDK’s mission by making these resources available for request to the broader scientific and research community.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "NIH Brain Development Cohorts (NBDC) Data Hub",
      "description": "The NIH Brain Development Cohorts (NBDC) Data Hub is a new NIH-supported resource designed to accelerate scientific discovery by providing centralized and secure access to rich, longitudinal brain, behavioral, and genomic data from both the ABCD and HBCD Studies. By bringing together data from both studies, the NBDC Data Hub facilitates integrative research on early life and adolescent development, helping researchers explore developmental trajectories across the lifespan.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Neurological Disorders and Stroke (NINDS)"
      }
    },
    {
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      "description": "The Genetic Testing Registry provides information about genetic and genomic tests available for clinical and research use, along with details about the laboratories that offer the tests. The registry includes molecular, biochemical and cytogenetic human genetic tests, as well as serologic and molecular microbe tests.",
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        {
          "@type": "Kind",
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        "@type": "Organization",
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    {
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      "description": "The National Institute of Mental Health Data Archive (NDA) makes available human subjects data collected from hundreds of research projects across many scientific domains.",
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      "@type": "DatasetSeries",
      "title": "OMIM An Online Catalog of Human Genes and Genetic Disorders",
      "description": "OMIM is a comprehensive, authoritative compendium of human genes and genetic phenotypes that is freely available and updated daily. The full-text, referenced overviews in OMIM contain information on all known mendelian disorders and over 16,000 genes. OMIM focuses on the relationship between phenotype and genotype. It is updated daily, and the entries contain copious links to other genetics resources.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Open Data Commons - Traumatic Brain Injury (ODC-TBI)",
      "description": "The Open Data Commons - Traumatic Brain Injury (ODC-TBI) is a dedicated data sharing portal and repository for pre-clinical TBI research. TBI data can be shared with certain users in a protected space and when ready, TBI data can be shared with the public through a DOI. ODC-TBI complies with the FAIR data principles to ensure that TBI data is Findable, Accessible, Interoperable and Reusable while promoting transparency, rigor and reproducibility in pre-clinical TBI research. ODC-TBI is providing the data sharing platform for the new interagency PREClinical Interagency reSearch resourcE for TBI (PRECISE-TBI)",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Neurological Disorders and Stroke (NINDS)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Open Data Commons for Spinal Cord Injury",
      "description": "The Open Data Commons for Spinal Cord Injury (ODC-SCI.org), is a community-based, dedicated data sharing portal and repository for the field of SCI where researchers can share data with colleagues in a protected space and publish data to the public with a DOI. The ODC-SCI involves a curation process and complies with the FAIR data principles to ensure that SCI data is Findable, Accessible, Interoperable and Reusable. Releasing a DOI thus requires the submission of metadata and a data dictionary.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Neurological Disorders and Stroke (NINDS)"
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    },
    {
      "@type": "DatasetSeries",
      "title": "OpenNeuro",
      "description": "A free and open platform for validating and sharing BIDS-compliant MRI, PET, MEG, EEG, and iEEG data",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
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      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Mental Health (NIMH)"
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    {
      "@type": "DatasetSeries",
      "title": "OpenPain",
      "description": "The OpenPain includes a data repository of pain and brain MRI data that are collected in subjects undergoing total knee arthroplasty (TKA) and a brain imaging-based prognostic algorism (software development) to prospectively predict outcomes following total knee replacement.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
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      "publisher": {
        "@type": "Organization",
        "name": "National Institute of Neurological Disorders and Stroke (NINDS)"
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    {
      "@id": "https://data.cms.gov/data-api/v1/dataset/f1a8c197-b53d-4c24-9770-aea5d5a97dfb/data",
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      "title": "Opioid Treatment Program Providers",
      "description": "The Opioid Treatment Program (OTP) Providers dataset provides information on Providers who have enrolled in Medicare under the Opioid Treatment Program. It contains provider's name, National Provider Identifier (NPI), address, phone number and the effective enrollment date.",
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        "@type": "Organization",
        "name": "Office of Enterprise Data and Analytics (OEDA)",
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        {
          "@type": "Kind",
          "fn": "Provider Enrollment Data Requests - CPI",
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      "identifier": "https://data.cms.gov/data-api/v1/dataset/f1a8c197-b53d-4c24-9770-aea5d5a97dfb/data",
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        "Medicare",
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        "009:000"
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        "https://data.cms.gov/resources/opioid-treatment-program-providers-methodology"
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        "@id": "https://data.cms.gov/data-api/v1/dataset/24c8699f-a804-47b7-95fe-8fcb99acb918/data-viewer",
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          "fn": "Provider Enrollment Data Requests - CPI",
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        "publisher": {
          "@type": "Organization",
          "name": "Office of Enterprise Data and Analytics (OEDA)",
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        "contactPoint": {
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          "fn": "Provider Enrollment Data Requests - CPI",
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        "identifier": "https://data.cms.gov/data-api/v1/dataset/f1a8c197-b53d-4c24-9770-aea5d5a97dfb/data-viewer"
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      "@id": "https://data.cms.gov/data-api/v1/dataset/9887a515-7552-4693-bf58-735c77af46d7/data",
      "@type": "DatasetSeries",
      "title": "Opt Out Affidavits",
      "description": "The Opt Out Affidavits dataset provides information on providers who have decided not to participate in Medicare. It contains provider's NPI, specialty, address, and effective dates.",
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        "@type": "Organization",
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      "identifier": "https://data.cms.gov/data-api/v1/dataset/9887a515-7552-4693-bf58-735c77af46d7/data",
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      "language": [
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      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2023-04-01",
          "endDate": "2026-08-31"
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      "landingPage": {
        "@type": "Document",
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      "accrualPeriodicity": "monthly",
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      "bureauCode": [
        "009:38"
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      "programCode": [
        "009:000"
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        "https://data.cms.gov/resources/opt-out-affidavits-methodology"
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        "publisher": {
          "@type": "Organization",
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        "contactPoint": {
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          "hasEmail": "mailto:ProviderEnrollmentDataRequests@cms.hhs.gov"
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        "identifier": "https://data.cms.gov/data-api/v1/dataset/010003d2-acf5-4399-9e8b-7f603fab3b34/data-viewer"
      },
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        "@id": "https://data.cms.gov/data-api/v1/dataset/9887a515-7552-4693-bf58-735c77af46d7/data-viewer",
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        "title": "Opt Out Affidavits : 2026-08-01",
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        "publisher": {
          "@type": "Organization",
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        "contactPoint": {
          "@type": "Kind",
          "fn": "Provider Enrollment Data Requests - CPI",
          "hasEmail": "mailto:ProviderEnrollmentDataRequests@cms.hhs.gov"
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        "identifier": "https://data.cms.gov/data-api/v1/dataset/9887a515-7552-4693-bf58-735c77af46d7/data-viewer"
      }
    },
    {
      "@id": "https://data.cms.gov/data-api/v1/dataset/c99b5865-1119-4436-bb80-c5af2773ea1f/data",
      "@type": "DatasetSeries",
      "title": "Order and Referring",
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        "@type": "Organization",
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          "fn": "Provider Enrollment Data Requests - CPI",
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      ],
      "identifier": "https://data.cms.gov/data-api/v1/dataset/c99b5865-1119-4436-bb80-c5af2773ea1f/data",
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      "sourceSite": "data.cms.gov",
      "sourceCatalog": "https://data.cms.gov/data.json",
      "language": [
        "en"
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2023-05-21",
          "endDate": "2026-09-19"
        }
      ],
      "landingPage": {
        "@type": "Document",
        "title": "Order and Referring landing page",
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      },
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        "@type": "Distribution",
        "title": "Order and Referring data dictionary",
        "downloadURL": "https://data.cms.gov/resources/order-and-referring-data-dictionary"
      },
      "keyword": [
        "Medicare",
        "Original Medicare",
        "Provider Enrollment"
      ],
      "theme": [
        "Medicare"
      ],
      "accrualPeriodicity": "R/P3.5D",
      "accessLevel": "public",
      "bureauCode": [
        "009:38"
      ],
      "programCode": [
        "009:000"
      ],
      "references": [
        "https://data.cms.gov/resources/order-and-referring-methodology"
      ],
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        "@id": "https://data.cms.gov/data-api/v1/dataset/1cb95115-25c9-4097-8d12-a8f76b266591/data-viewer",
        "@type": "Dataset",
        "title": "Order and Referring : 2023-06-01",
        "description": "The Order and Referring dataset provides information on all physicians and non-physician practitioners, by their National Provider Identifier (NPI), who are of a type/specialty that is legally eligible to order and refer in the Medicare program and who have current enrollment records in Medicare. This dataset identifies Medicare fee-for-service ordering and referring eligibility, supporting transparency and regulatory compliance efforts. The information can be used to verify ordering and referring capabilities as required by Medicare program standards.",
        "publisher": {
          "@type": "Organization",
          "name": "Office of Enterprise Data and Analytics (OEDA)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Medicare and Medicaid Services (CMS)"
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          ]
        },
        "contactPoint": {
          "@type": "Kind",
          "fn": "Provider Enrollment Data Requests - CPI",
          "hasEmail": "mailto:ProviderEnrollmentDataRequests@cms.hhs.gov"
        },
        "identifier": "https://data.cms.gov/data-api/v1/dataset/1cb95115-25c9-4097-8d12-a8f76b266591/data-viewer"
      },
      "last": {
        "@id": "https://data.cms.gov/data-api/v1/dataset/c99b5865-1119-4436-bb80-c5af2773ea1f/data-viewer",
        "@type": "Dataset",
        "title": "Order and Referring : 2026-09-25",
        "description": "The Order and Referring dataset provides information on all physicians and non-physician practitioners, by their National Provider Identifier (NPI), who are of a type/specialty that is legally eligible to order and refer in the Medicare program and who have current enrollment records in Medicare. This dataset identifies Medicare fee-for-service ordering and referring eligibility, supporting transparency and regulatory compliance efforts. The information can be used to verify ordering and referring capabilities as required by Medicare program standards.",
        "publisher": {
          "@type": "Organization",
          "name": "Office of Enterprise Data and Analytics (OEDA)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Medicare and Medicaid Services (CMS)"
            }
          ]
        },
        "contactPoint": {
          "@type": "Kind",
          "fn": "Provider Enrollment Data Requests - CPI",
          "hasEmail": "mailto:ProviderEnrollmentDataRequests@cms.hhs.gov"
        },
        "identifier": "https://data.cms.gov/data-api/v1/dataset/c99b5865-1119-4436-bb80-c5af2773ea1f/data-viewer"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "PGS Catalog",
      "description": "The PGS Catalog is an open database of published polygenic scores (PGS). Each PGS in the Catalog is consistently annotated with relevant metadata; including scoring files (variants, effect alleles/weights), annotations of how the PGS was developed and applied, and evaluations of their predictive performance. PGS are identified via literature search and data is curated from eligible publications; direct submissions of scores and metadata can also be made. Software tools for working with the data are available including pgsc_calc: a reproducible workflow to calculate both PGS Catalog and custom polygenic scores, including multiple methods to normalise for genetic ancestry.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "PLACES: Census Tract Data (GIS Friendly Format) Series 2020-2025",
      "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "modified": "2025-12-04",
      "accrualPeriodicity": "continual",
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2021-09-29",
          "endDate": "2025-12-04"
        }
      ],
      "first": {
        "@type": "Dataset",
        "identifier": "ib3w-k9rq",
        "title": "PLACES: Census Tract Data (GIS Friendly Format), 2020 release",
        "description": "This dataset contains model-based census tract level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 27 measures at the census tract level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
              "subOrganizationOf": [
                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "yjkw-uj5s",
        "title": "PLACES: Census Tract Data (GIS Friendly Format), 2025 release",
        "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey (ACS) 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. These data can be joined with the Census tract 2023 boundary file in a GIS system to produce maps for 40 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
          "subOrganizationOf": [
            {
              "@type": "Organization",
              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
              "subOrganizationOf": [
                {
                  "@type": "Organization",
                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "PLACES: Census Tract Data Series, 2020-2025",
      "description": "This dataset contains model-based census tract-level estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia (DC) at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "modified": "2025-12-12",
      "accrualPeriodicity": "continual",
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2021-09-29",
          "endDate": "2025-12-12"
        }
      ],
      "first": {
        "@type": "Dataset",
        "identifier": "4ai3-zynv",
        "title": "PLACES: Local Data for Better Health, Census Tract Data 2020 release",
        "description": "This dataset contains model-based census tract-level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "cwsq-ngmh",
        "title": "PLACES: Local Data for Better Health, Census Tract Data, 2025 release",
        "description": "This dataset contains model-based census tract estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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                {
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                  "name": "U.S. Department of Health and Human Services"
                }
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        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "PLACES: County Data (GIS Friendly Format) Series, 2020-2025",
      "description": "This dataset contains model-based county-level estimates in GIS-friendly format from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
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          "prefLabel": "United States"
        }
      ],
      "modified": "2025-12-04",
      "accrualPeriodicity": "continual",
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
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          "@type": "PeriodOfTime",
          "startDate": "2021-09-29",
          "endDate": "2025-12-04"
        }
      ],
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        "@type": "Dataset",
        "identifier": "mssc-ksj7",
        "title": "PLACES: County Data (GIS Friendly Format), 2020 release",
        "description": "This dataset contains model-based county-level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2015 county boundary file in a GIS system to produce maps for 27 measures at the county level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
        "contactPoint": [
          {
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            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
          }
        ],
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          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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                }
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          ]
        }
      },
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        "@type": "Dataset",
        "identifier": "i46a-9kgh",
        "title": "PLACES: County Data (GIS Friendly Format), 2025 release",
        "description": "This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2023 county population estimates, and American Community Survey (ACS) 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. These data can be joined with the census 2023 county boundary file in a GIS system to produce maps for 40 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
          }
        ],
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          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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                }
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          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "PLACES: County Data Series, 2020-2025",
      "description": "This dataset series contains model-based county estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
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          "@type": "Location",
          "prefLabel": "United States"
        }
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      "modified": "2025-12-04",
      "accrualPeriodicity": "continual",
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
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        {
          "@type": "PeriodOfTime",
          "startDate": "2021-09-29",
          "endDate": "2025-12-04"
        }
      ],
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        "@type": "Dataset",
        "identifier": "dv4u-3x3q",
        "title": "PLACES: Local Data for Better Health, County Data 2020 release",
        "description": "This dataset contains model-based county-level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
        "contactPoint": [
          {
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            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
          }
        ],
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          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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          ]
        }
      },
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        "@type": "Dataset",
        "identifier": "swc5-untb",
        "title": "PLACES: Local Data for Better Health, County Data, 2025 release",
        "description": "This dataset contains model-based county estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2023 county population estimate data, and American Community Survey 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
          }
        ],
        "publisher": {
          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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                  "name": "U.S. Department of Health and Human Services"
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          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "PLACES: Place Data (GIS Friendly Format) Series, 2020-2025",
      "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States"
        }
      ],
      "modified": "2025-12-04",
      "accrualPeriodicity": "continual",
      "publisher": {
        "@type": "Organization",
        "name": "Centers for Disease Control and Prevention"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2021-09-29",
          "endDate": "2025-12-04"
        }
      ],
      "first": {
        "@type": "Dataset",
        "identifier": "ndzg-9nmv",
        "title": "PLACES: Place Data (GIS Friendly Format), 2020 release",
        "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 27 measures at the place level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
        "contactPoint": [
          {
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            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
          }
        ],
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          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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          ]
        }
      },
      "last": {
        "@type": "Dataset",
        "identifier": "vgc8-iyc4",
        "title": "PLACES: Place Data (GIS Friendly Format), 2025 release",
        "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey (ACS)  2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. These data can be joined with the 2020 Census place boundary file in a GIS system to produce maps for 40 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
        "contactPoint": [
          {
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            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
          }
        ],
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                  "name": "U.S. Department of Health and Human Services"
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          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "PLACES: Place Data Series, 2020-2025",
      "description": "This dataset contains model-based place (incorporated and census-designated places) estimates from 2020-2025. PLACES covers the entire United States 50 states and the District of Columbia at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
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        }
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      "modified": "2025-12-12",
      "accrualPeriodicity": "continual",
      "publisher": {
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        "name": "Centers for Disease Control and Prevention"
      },
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          "endDate": "2025-12-12"
        }
      ],
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        "@type": "Dataset",
        "identifier": "q8xq-ygsk",
        "title": "PLACES: Local Data for Better Health, Place Data 2020 release",
        "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates  include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
          }
        ],
        "publisher": {
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          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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      },
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        "@type": "Dataset",
        "identifier": "eav7-hnsx",
        "title": "PLACES: Local Data for Better Health, Place Data, 2025 release",
        "description": "This dataset contains model-based place (incorporated and census-designated places) estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "PLACES: Local Data for Better Health",
            "hasEmail": "mailto:places@cdc.gov"
          }
        ],
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          "@type": "Organization",
          "name": "National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP)",
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              "name": "Centers for Disease Control and Prevention (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) Division of Population Health (DPH)",
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                  "name": "U.S. Department of Health and Human Services"
                }
              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "PLACES: ZCTA Data (GIS Friendly Format) Series, 2020-2025",
      "description": "This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project from 2020-2025 in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States 50 states and the District of Columbia (DC) at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "PLACES Public Inquiries",
          "hasEmail": "mailto:places@cdc.gov"
        }
      ],
      "spatial": [
        {
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        "title": "PLACES: ZCTA Data (GIS Friendly Format), 2025 release",
        "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey (ACS) 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. These data can be joined with the Census 2020 ZCTA boundary file in a GIS system to produce maps for 40 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
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        "name": "National Center for Complementary and Integrative Health (NCCIH)"
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    {
      "@type": "DatasetSeries",
      "title": "TrialShare",
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        "name": "National Institute of Allergy and Infectious Diseases (NIAID)"
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    {
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      "title": "UCSC Genome Browser",
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      "contactPoint": [
        {
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        "name": "National Human Genome Research Institute (NHGRI)"
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    {
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        {
          "@type": "Kind",
          "fn": "Jonjelyn Gamble, Alek Sripipatana",
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          "@type": "Kind",
          "fn": "Jonjelyn Gamble, Alek Sripipatana",
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        }
      ],
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        "@type": "Organization",
        "name": "Bureau of Primary Health Care (BPHC)"
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        {
          "@type": "PeriodOfTime",
          "startDate": "1999-01-01",
          "endDate": "2025-12-31"
        }
      ],
      "@id": "https://data.hrsa.gov/DataDownload/StaticDocuments/H80-1999.xlsx"
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    {
      "@type": "DatasetSeries",
      "title": "UFDS Public Use Files",
      "description": "Annual survey series providing data on the location, characteristics, services, and utilization of substance abuse treatment facilities in the United States. The series supports behavioral health planning, policy development, and research and served as the predecessor to the National Survey of Substance Abuse Treatment Services (N-SSATS).",
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        {
          "@type": "Kind",
          "fn": "SAMHSA Center for Behavioral Health Statistics and Quality (CBHSQ)",
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        }
      ],
      "spatial": [
        {
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          "prefLabel": "United States and Jurisdictions"
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        "@type": "Organization",
        "name": "Center for Behavioral Health Statistics and Quality (CBHSQ)"
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        {
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          "endDate": "1998-12-31"
        }
      ],
      "@id": "https://www.samhsa.gov/data/data-we-collect/n-sumhss-national-substance-use-and-mental-health-services-survey/datafiles?year=1997&data_collection=1047",
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        "title": "Uniform Facility Data Set (UFDS),  1997",
        "description": "The Uniform Facility Data Set (UFDS) is an annual survey of facilities providing substance abuse treatment, conducted by the Substance Abuse and Mental Health Services Administration (SAMHSA), designed to collect data on the location, characteristics, and use of alcoholism and drug abuse treatment facilities and services throughout the 50 states, the District of Columbia, and other U.S. jurisdictions. This UFDS dataset is for the year 1997.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "SAMHSA Center for Behavioral Health Statistics and Quality (CBHSQ)",
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          ]
        }
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        "description": "The Uniform Facility Data Set (UFDS) is an annual survey of facilities providing substance abuse treatment, conducted by the Substance Abuse and Mental Health Services Administration (SAMHSA), designed to collect data on the location, characteristics, and use of alcoholism and drug abuse treatment facilities and services throughout the 50 states, the District of Columbia, and other U.S. jurisdictions. This UFDS dataset is for the year 1998.",
        "contactPoint": [
          {
            "@type": "Kind",
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      }
    },
    {
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      "description": "Annually, State Mental Health Agencies (SMHAs) use the URS to put together and report their annual data. This is a part of SAMHSA’s Community Mental Health Services Block Grant. URS is part of an effort to use data in decision support and planning in public mental health systems. The effort also attempts to use data in supporting program accountability.",
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      ],
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      "last": {
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        "title": "2025 URS Output Tables for Wyoming",
        "description": "State Mental Health Agencies (SMHAs) use the Uniform Reporting System (URS) to put together and report annual data. This is a part of SAMHSA’s Community Mental Health Services Block Grant. URS is part of an effort to use data in decision support and planning in public mental health systems. The effort also attempts to use data in supporting program accountability. This URS Output Tables dataset for Wyoming is from 2025.",
        "contactPoint": [
          {
            "@type": "Kind",
            "fn": "SAMHSA Center for Behavioral Health Statistics and Quality (CBHSQ)",
            "hasEmail": "mailto:SAMHSAInfo@samhsa.hhs.gov"
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              ]
            }
          ]
        }
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "URS SMI/SED Prevalence Estimates Public Use Files",
      "description": "These annual tables include state-by-state estimates of adults with serious mental illness (SMI) and children withserious emotional disturbance (SED) from the Uniform Reporting System (URS) that are collected annually to support the Community Mental Health Services Block Grant program.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "SAMHSA Center for Behavioral Health Statistics and Quality (CBHSQ)",
          "hasEmail": "mailto:SAMHSAInfo@samhsa.hhs.gov"
        }
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "United States and Jurisdictions"
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      "publisher": {
        "@type": "Organization",
        "name": "Center for Behavioral Health Statistics and Quality (CBHSQ)"
      },
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2024-12-31"
        }
      ],
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          {
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          ]
        }
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        "identifier": "https://www.samhsa.gov/data/data-we-collect/urs-uniform-reporting-system/smi-sed-prevalence-estimates/2024",
        "title": "2024 SMI/SED Estimates",
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        }
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        "name": "National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)"
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    },
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      "@type": "DatasetSeries",
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        "name": "National Institute of Allergy and Infectious Diseases (NIAID)"
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      "describedBy": {
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        "Payment Models"
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      "programCode": [
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      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Virtual Nanostructure Simulation (VINAS) Web Portal",
      "description": "Virtual Nanomaterial Simulation Professional (ViNAS-Pro) is a data-driven nanoinformatics platform. It comprises six core components that enable data profiling, data preprocessing and visualization, machine learning (ML) modeling, virtual nanomaterials (NMs) prediction, as well as nanostructure and nanodescriptor calculation.",
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        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute of General Medical Sciences (NIGMS)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "WormBase",
      "description": "WormBase is an international consortium of biologists and computer scientists dedicated to providing the research community with accurate, current, accessible information concerning the genetics, genomics and biology of C. elegans and related nematodes.",
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      "publisher": {
        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Xenbase",
      "description": "Xenbase is a web-accessible resource that integrates all the diverse biological, genomic, genotype and phenotype data available from Xenopus research.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
          "hasEmail": "mailto:ODSSInfo@mail.nih.gov"
        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "Zebrafish Information Network (ZFIN)",
      "description": "The Zebrafish Information Network (ZFIN) is the database of genetic and genomic data for the zebrafish (Danio rerio) as a model organism. ZFIN provides a wide array of expertly curated, organized and cross-referenced zebrafish research data.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
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        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)"
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    },
    {
      "@type": "DatasetSeries",
      "title": "cBioPortal",
      "description": "cBioPortal's primary goal is to make complex cancer genomic data accessible and interpretable for cancer biologists and clinicians. We transform multimodal data into interactive visualizations that facilitate biological discovery and clinical decision-making.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
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        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Cancer Institute (NCI)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "gEAR",
      "description": "gEAR portal is a community driven, multi-omic data exploration portal for Gene Expression Analysis Resource (gEAR) studies related to the cochlea",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
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        }
      ],
      "publisher": {
        "@type": "Organization",
        "name": "National Institute on Deafness and Other Communication Disorders (NIDCD)"
      }
    },
    {
      "@type": "DatasetSeries",
      "title": "gnomAD Genome Aggregation Database",
      "description": "The Genome Aggregation Database (gnomAD) is a large-scale resource that aggregates and harmonizes exome and genome sequencing data from diverse cohorts to provide high-quality human genetic variation data. It offers allele frequencies, constraint metrics, and variant annotations designed to support rare disease research, variant interpretation, and studies of human population genetics. gnomAD is openly accessible and continually updated, providing a comprehensive, standardized reference for researchers working across clinical and genomic sciences.",
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        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
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      ],
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        "@type": "Organization",
        "name": "National Human Genome Research Institute (NHGRI)"
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    },
    {
      "@type": "DatasetSeries",
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        {
          "@type": "Kind",
          "fn": "Office of Data Science Strategy (ODSS)",
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      ],
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        "@type": "Organization",
        "name": "National Institute of Neurological Disorders and Stroke (NINDS)"
      }
    },
    {
      "@type": "DatasetSeries",
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          "fn": "Office of Data Science Strategy (ODSS)",
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        "@type": "Organization",
        "name": "National Institute on Aging (NIA)"
      }
    }
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      "endpointDescription": [
        "https://dev.socrata.com/foundry/data.cdc.gov/9y49-tura"
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      "keyword": [
        "Active Bacterial Core surveillance",
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        "DIDRI / NCIRD",
        "Socrata API"
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        "name": "NCEZID"
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      "@id": "https://data.cdc.gov/api/v3/views/9y49-tura/query.json"
    },
    {
      "@type": "DataService",
      "title": "ABCs Group B Streptococcus Socrata API",
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      "description": "Socrata Open Data API providing programmatic access to the ABCs Group B Streptococcus dataset.",
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        "Socrata API"
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        "name": "NCEZID"
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      "@id": "https://data.cdc.gov/api/v3/views/95m5-agj4/query.json"
    },
    {
      "@type": "DataService",
      "title": "ABCs Haemophilus influenzae Socrata API",
      "identifier": "https://data.cdc.gov/api/v3/views/uxwq-vny5/query.json",
      "description": "Socrata Open Data API providing programmatic access to the ABCs Haemophilus influenzae dataset.",
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        {
          "@type": "Kind",
          "fn": "ABCs",
          "hasEmail": "mailto:abcs@cdc.gov"
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      "endpointDescription": [
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      ],
      "keyword": [
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        "Socrata API"
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    },
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      "title": "ACMT Fentalog study",
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          "fn": "Francis Annor",
          "hasEmail": "mailto:lwz7@cdc.gov"
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      ],
      "endpointURL": [
        "https://www.acmt.net/fentanyl-analog/"
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      "keyword": [
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        "drug overdose",
        "opioid",
        "substance use disorders"
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        "name": "NCIPC"
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      "description": "Interactive query-builder tool for the AGID Data Sets: filter by data set, year(s), geography, and up to 50 data elements, then export a custom table as CSV or Excel, or view it as a line chart / heat map.",
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          "fn": "AGID Help Desk",
          "hasEmail": "mailto:AGIDHelp@acl.hhs.gov"
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        "name": "Aging, Independence, and Disability (AGID) Program",
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        "AGID",
        "Data Explorer",
        "Custom Table",
        "Query Tool"
      ],
      "theme": [
        {
          "@type": "Concept",
          "prefLabel": "Health"
        },
        {
          "@type": "Concept",
          "prefLabel": "Aging"
        },
        {
          "@type": "Concept",
          "prefLabel": "Disability"
        },
        {
          "@type": "Concept",
          "prefLabel": "Older Americans Act Programs"
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          "description": "State Performance Reports (SPR) data collected from grantees includes demographic and performance data on programs and services.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "AGID Help Desk",
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          "title": "Title VI:American Indian, Alaskan Native, and Native Hawaiian PPR",
          "description": "Program Performance Reports (PPR) Performance data collected from grantees providing services to American Indians, Alaskan Natives and Native Hawaiians under Title VI of the Older Americans Act.",
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              "@type": "Kind",
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        {
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          "identifier": "https://agid.acl.gov/data-set?name=TitleVII",
          "title": "Title VII National Ombudsman Reporting System (NORS)",
          "description": "NORS Performance data collected from grantees providing Long-Term Care Ombudsman Support programs for prevention of elder abuse, neglect and exploitation; and elder rights and legal aid programs.",
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            {
              "@type": "Kind",
              "fn": "AGID Help Desk",
              "hasEmail": "mailto:AGIDHelp@acl.hhs.gov"
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          ]
        }
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      "description": "Socrata Open Data API providing programmatic access to the AR&PSP C. auris dataset.",
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        {
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        "Candida auris",
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        "DHQP",
        "Socrata API"
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          "title": "AR&PSP C. auris dataset",
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              "fn": "AR&PSP",
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      "@type": "DataService",
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          "title": "Aggregate APR Data, FY 2019",
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              "fn": "Daria Domin, Project Manager, CATADA",
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          ]
        },
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          "title": "Aggregate APR Data, FY 2024",
          "description": "National activity reports generated from State AT Program Annual Progress Report data submitted to the National Assistive Technology Act Data System, covering state-level activity (device demonstration, loan, reutilization, financing), state leadership activity (training, information and assistance,",
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              "fn": "Daria Domin, Project Manager, CATADA",
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          ]
        }
      ]
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      "title": "Animal & Veterinary events API",
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        {
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          "fn": "open FDA",
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      ],
      "endpointURL": [
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      "endpointDescription": [
        "https://api.fda.gov/animalandveterinary/event.json"
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        "@type": "Organization",
        "name": "FDA"
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      "servesDataset": [
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          "@type": "Dataset",
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          "title": "Center for Veterinary Medicine - Animal Food Safety",
          "description": "Ensuring that the food people and animals eat is safe and protected from contamination is an essential element of promoting human and animal health. Through the Food Safety Modernization Act, FDA has the mandate and authority to construct a modern integrated food safety system that protects food from farm to table, establishes shared responsibility for food safety among all participants, and strengthens accountability for prevention of foodborne illness, domestically and internationally. Each FDA-TRACK program area collects, analyzes, and reports its performance measures and results. Explores the progress CVM is making towards its Animal Food Safety strategic initiatives.",
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      "title": "Avian influenza A(H5) wastewater Socrata API",
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      "description": "Socrata Open Data API providing programmatic access to the Avian influenza A(H5) wastewater dataset.",
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          "identifier": "https://data.cdc.gov/Public-Health-Surveillance/CDC-Wastewater-Data-for-Avian-Influenza-A-H5-/mtpu-urpp",
          "title": "Avian influenza A(H5) wastewater dataset/API",
          "description": "Public CDC dataset / api providing data or related information for Wastewater surveillance.",
          "contactPoint": [
            {
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              "fn": "National Wastewater Surveillance System (NWSS)",
              "hasEmail": "mailto:NWSS@cdc.gov"
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          ]
        }
      ]
    },
    {
      "@type": "DataService",
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      "description": "Socrata Open Data API providing programmatic access to the BEAM Isolates by HHS Region dataset.",
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        "Socrata API"
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          "identifier": "hhew-mxbt",
          "title": "Healthy People 2020 Tobacco Use Objectives",
          "description": "U.S. Department of Health and Human Services (HHS). Centers for Disease Control and Prevention (CDC). Healthy People 2020 Tobacco Use Objectives. Healthy People 2020. Healthy People 2020 provides a framework for action to reduce tobacco use to the point that it is no longer a public health problem for the Nation. This dataset includes information related to the Healthy People 2020 Tobacco Use objectives, operational definitions, baselines, and targets. Baseline years may vary by objective. Targets represented correspond to the year 2020.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "24w5-nppr",
          "title": "2021 Final Assisted Reproductive Technology (ART) Summary",
          "description": "Data were updated on September 11, 2024.\n\nART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatmentâ€™s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patientâ€™s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National ART Surveillance System",
              "hasEmail": "mailto:cdcinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "ey8b-ejrf",
          "title": "2021 Final Assisted Reproductive Technology (ART) Success Rates",
          "description": "Data were updated on September 11, 2024.\n\nART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all â€œPatients using their own eggsâ€ or for â€œPatients with no prior ART using their own eggs.â€ For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parentâ€™s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered researchâ€”that is, cycles performed to evaluate new procedures.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National ART Surveillance System",
              "hasEmail": "mailto:cdcinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "ui6g-vumy",
          "title": "2021 Final Assisted Reproductive Technology (ART) Services and Profiles",
          "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinicâ€™s contact information, location, the medical directorâ€™s name, and summary statistics.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National ART Surveillance System",
              "hasEmail": "mailto:cdcinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "6ryw-hetw",
          "title": "2021 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics",
          "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National ART Surveillance System",
              "hasEmail": "mailto:cdcinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "cchw-gdwa",
          "title": "2022 Final Assisted Reproductive Technology (ART) Success Rates",
          "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all â€œPatients using their own eggsâ€ or for â€œPatients with no prior ART using their own eggs.â€ For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parentâ€™s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered researchâ€”that is, cycles performed to evaluate new procedures.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National ART Surveillance System",
              "hasEmail": "mailto:cdcinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "xvu4-xjdb",
          "title": "CDC PRAMStat Data for 2010",
          "description": "2010. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "the Pregnancy Risk Assessment Monitoring System",
              "hasEmail": "mailto:PRAMSProposals@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "u76f-m89e",
          "title": "CDC PRAMStat Data for 2003",
          "description": "2003. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "the Pregnancy Risk Assessment Monitoring System",
              "hasEmail": "mailto:PRAMSProposals@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "ese6-rqpq",
          "title": "CDC PRAMStat Data for 2011",
          "description": "2011.  Centers for Disease Control and Prevention (CDC).  PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments.  PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy.\nData will be updated annually as it becomes available.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "the Pregnancy Risk Assessment Monitoring System",
              "hasEmail": "mailto:PRAMSProposals@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "u93h-quup",
          "title": "CDC PRAMStat Data for 2001",
          "description": "2001. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "the Pregnancy Risk Assessment Monitoring System",
              "hasEmail": "mailto:PRAMSProposals@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "pj7z-f3xf",
          "title": "CDC PRAMStat Data for 2005",
          "description": "2005. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "the Pregnancy Risk Assessment Monitoring System",
              "hasEmail": "mailto:PRAMSProposals@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "ix4g-rt8v",
          "title": "2022 Final Assisted Reproductive Technology (ART) Services and Profiles",
          "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinicâ€™s contact information, location, the medical directorâ€™s name, and summary statistics.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National ART Surveillance System",
              "hasEmail": "mailto:cdcinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "9tjt-seye",
          "title": "2022 Final Assisted Reproductive Technology (ART) Summary",
          "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatmentâ€™s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patientâ€™s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National ART Surveillance System",
              "hasEmail": "mailto:cdcinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "wrev-kwxu",
          "title": "2022 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics",
          "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National ART Surveillance System",
              "hasEmail": "mailto:cdcinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "4yy2-qa9v",
          "title": "2020 Final Assisted Reproductive Technology (ART) Summary",
          "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatmentâ€™s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patientâ€™s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National ART Surveillance System",
              "hasEmail": "mailto:cdcinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "xyxp-dxa9",
          "title": "CDC PRAMStat Data for 2004",
          "description": "2004. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "the Pregnancy Risk Assessment Monitoring System",
              "hasEmail": "mailto:PRAMSProposals@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "akmt-4qtj",
          "title": "CDC PRAMStat Data for 2006",
          "description": "2006. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "the Pregnancy Risk Assessment Monitoring System",
              "hasEmail": "mailto:PRAMSProposals@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "5svk-8bnq",
          "title": "National Health and Nutrition Examination Survey (NHANES) - National Cardiovascular Disease Surveillance System",
          "description": "1999 – 2000 to 2017 – 2018. The National Health and Nutrition Examination Survey (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the United States. The survey is unique in that it combines interviews and physical examinations. Indicators from this data source have been computed by personnel in CDC's Division for Heart Disease and Stroke Prevention (DHDSP). This was one of the datasets provided by the National Cardiovascular Disease Surveillance System and presented on DHDSPâ€™s Data, Trends, and Maps online tool. This tool was retired in April of 2024 and this dataset will not be updated. Contact dhdsprequests@cdc.gov if you need assistance with data previously included in this dataset. The data can be plotted as trends and stratified by age group, sex, and race/ethnicity.\n\nUpdated 12/9/2025: Per a court order, HHS is required to restore this website to its version as of 12:00 AM on January 29, 2025. Information on this page may be modified and/or removed in the future subject to the terms of the courtâ€™s order and implemented consistent with applicable law. Any information on this page promoting gender ideology is extremely inaccurate and disconnected from truth. The Trump Administration rejects gender ideology due to the harms and divisiveness it causes. This page does not reflect reality and therefore the Administration and this Department reject it.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Heart Disease and Stroke Surveillance",
              "hasEmail": "mailto:dhdsprequests@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "4ya2-fkvt",
          "title": "CDC PRAMStat Data for 2008",
          "description": "2008. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "the Pregnancy Risk Assessment Monitoring System",
              "hasEmail": "mailto:PRAMSProposals@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "dnxe-zgxs",
          "title": "CDC PRAMStat Data for 2002",
          "description": "2002.  Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "the Pregnancy Risk Assessment Monitoring System",
              "hasEmail": "mailto:PRAMSProposals@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "92ri-yjps",
          "title": "2020 Final Assisted Reproductive Technology (ART) Services and Profiles",
          "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinicâ€™s contact information, location, the medical directorâ€™s name, and summary statistics.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National ART Surveillance System",
              "hasEmail": "mailto:cdcinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "vr6p-ert2",
          "title": "CDC PRAMStat Data for 2007",
          "description": "2007. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "the Pregnancy Risk Assessment Monitoring System",
              "hasEmail": "mailto:PRAMSProposals@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "knu9-e7pg",
          "title": "2020 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics",
          "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National ART Surveillance System",
              "hasEmail": "mailto:cdcinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "3x54-3thk",
          "title": "2020 Final Assisted Reproductive Technology (ART) Success Rates",
          "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by â€œClinicID.â€ ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all â€œPatients using their own eggsâ€ or for â€œPatients with no prior ART using their own eggs.â€ For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parentâ€™s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered researchâ€”that is, cycles performed to evaluate new procedures.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National ART Surveillance System",
              "hasEmail": "mailto:cdcinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "3hwj-hqmh",
          "title": "CDC PRAMStat Data for 2000",
          "description": "2000. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "the Pregnancy Risk Assessment Monitoring System",
              "hasEmail": "mailto:PRAMSProposals@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "qwpv-wpc8",
          "title": "CDC PRAMStat Data for 2009",
          "description": "2009. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "the Pregnancy Risk Assessment Monitoring System",
              "hasEmail": "mailto:PRAMSProposals@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "4r3g-hv9c",
          "title": "Vision Service Plan (VSP)  –  Vision and Eye Health Surveillance",
          "description": "2016. This dataset is a de-identified summary table of vision and eye health data indicators from VSP, stratified by all available combinations of age group, race/ethnicity, sex, and state. VSP claims for VEHSS provides a convenience sample of vision insurance members representing approximately more than 1 in 4 of the U.S. population. VSP uses a web-based claims submissions system to collect and process claims. The denominator of the rates represents persons with VSP benefits as reported by employers, and is subject to some uncertainty.  VSP data for VEHSS include Service Utilization and Eye Health Condition indicators.  Certain ophthalmic conditions and procedures are covered by health insurance and are not covered by managed vision insurance, claims based eye disease prevalence may therefore be expected to undercount true prevalence.  Person level claims and person counts are not publically available.  Reported rates were suppressed for de-identification to ensure protection of patient privacy. Detailed information on VEHSS VSP analyses can be found on the VEHSS VSP webpage (link). Information on VSP data can be found on the VSP website (www.vsp.com). The VEHSS VSP dataset was last updated in June 2018.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Vision and Eye Health Surveillance System",
              "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "ne52-uraz",
          "title": "CDC STATE System E-Cigarette Legislation - Licensure",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislationâ€”Licensure. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to requirements, restrictions and penalties associated with holding a retail license to sell e-cigarettes over-the-counter and through vending machines.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "hksd-2xuw",
          "title": "U.S. Chronic Disease Indicators",
          "description": "CDC's Division of Population Health provides a cross-cutting set of 115 indicators developed by consensus among CDC, the Council of State and Territorial Epidemiologists, and the National Association of Chronic Disease Directors.  These indicators allow states and territories to uniformly define, collect, and report chronic disease data that are important to public health practice in their area. In addition to providing access to state-specific indicator data, the CDI web site serves as a gateway to additional information and data resources.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Chronic Disease Indicators",
              "hasEmail": "mailto:cdcinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "e539-uadk",
          "title": "Non-Medical Factor Measures for Census Tract, ACS 2017-2021",
          "description": "This dataset contains census tract-level non-medical factor measures from the American Community Survey 5-year data for the entire United Statesâ€”50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "swc5-untb",
          "title": "PLACES: Local Data for Better Health, County Data, 2025 release",
          "description": "This dataset contains model-based county estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2023 county population estimate data, and American Community Survey 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "7cmc-7y5g",
          "title": "PLACES: County Data (GIS Friendly Format), 2023 release",
          "description": "This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2021 or 2020 county population estimates, and American Community Survey (ACS) 2017 – 2021 or 2016 – 2020 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census 2020 county boundary file in a GIS system to produce maps for 36 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "nw2y-v4gm",
          "title": "PLACES: Local Data for Better Health, Census Tract Data 2022 release",
          "description": "This dataset contains model-based census tract-level estimates for the PLACES 2022 release. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "8235-5d73",
          "title": "Water Fluoridation Statistics - Percent of PWS population receiving fluoridated water",
          "description": "2000-2018. Water Fluoridation Statistics is a biennial report of the percentage and number of people receiving fluoridated water from 2000 through 2018, originally published at https://www.cdc.gov/fluoridation/statistics/index.htm. For more information, see: https://www.cdc.gov/oralhealthdata/overview/fluoridation_indicators.html",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Oral Health",
              "hasEmail": "mailto:oralhealth@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "hky2-3tpn",
          "title": "PLACES: Census Tract Data (GIS Friendly Format), 2023 release",
          "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 36 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "rnvb-cpxx",
          "title": "Adult Tobacco Consumption In The U.S., 2000-Present",
          "description": "2000 to Present. Adult Tobacco Consumption in the U.S. This dataset highlights critical trends in adult total and per capita consumption of both combustible (cigarettes, little cigars, small cigars, pipe tobacco, roll-your-own tobacco) tobacco products and smokeless (chewing tobacco and snuff) tobacco from 2000 to present. To view the CDC MMWR report, please visit https://www.cdc.gov/mmwr/volumes/65/wr/mm6548a1.htm.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "32fd-hyzc",
          "title": "CDC STATE System Tobacco Legislation - Smokefree Indoor Air",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation  –  Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "k25u-mg9b",
          "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2018 release",
          "description": "2016, 2015. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. There are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) in this 2018 release from the 2015 BRFSS that were the same as the 2017 release.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "h3ej-a9ec",
          "title": "PLACES: Local Data for Better Health, County Data 2023 release",
          "description": "This dataset contains model-based county estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2021 or 2020 county population estimate data, and American Community Survey 2017 – 2021, or 2016 – 2020 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "eav7-hnsx",
          "title": "PLACES: Local Data for Better Health, Place Data, 2025 release",
          "description": "This dataset contains model-based place (incorporated and census-designated places) estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "vkwg-yswv",
          "title": "Behavioral Risk Factors  –  Vision and Eye Health Surveillance",
          "description": "2013-2022. This dataset is a de-identified summary table of vision and eye health data indicators from BRFSS, stratified by all available combinations of age group, race/ethnicity, sex, risk factor and state. BRFSS is a system of telephone surveys conducted by CDC that collect state data about U.S. residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services. BRFSS completes more than 400,000 adult interviews each year across 50 states, the District of Columbia, and three U.S. territories. BRFSS data for VEHSS includes one question from the core component related to Visual Function. Data were suppressed following NCHS standards. Data will be updated as it becomes available. Detailed information on VEHSS BRFSS analyses can be found on the VEHSS BRFSS webpage (link). General information about BRFSS can be found on the BRFSS website (https://www.cdc.gov/brfss). The VEHSS BRFSS dataset was last updated in February 2026.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Vision and Eye Health Surveillance System",
              "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "9z78-nsfp",
          "title": "500 Cities: Local Data for Better Health, 2016 release",
          "description": "This is the complete dataset for the 500 Cities project 2016 release. This dataset includes 2013, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2013, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2009-2013, 2010-2014 estimates. More information about the methodology can be found at www.cdc.gov/500cities.\nNote: During the process of uploading the 2015 estimates, CDC found a data discrepancy in the published 500 Cities data for the 2014 city-level obesity crude prevalence estimates caused when reformatting the SAS data file to the open data format. . The small area estimation model and code were correct. This data discrepancy only affected the 2014 city-level obesity crude prevalence estimates on the Socrata open data file, the GIS-friendly data file, and the 500 Cities online application. The other obesity estimates (city-level age-adjusted and tract-level) and the Mapbooks were not affected. No other measures were affected. The correct estimates are update in this dataset on October 25, 2017.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "hgyx-uuxz",
          "title": "Community Water Fluoridation  –  State and County Level Statistics",
          "description": "State, 2016  – 2020; County, 2020. The report includes both state and county level water fluoridation data generated from the Water Fluoridation Reporting System (WFRS). State level statistics include data from the biennial report originally published at https://www.cdc.gov/fluoridation/statistics/reference_stats.htm. State and county data include percentage of people, number of people, and number of water systems receiving fluoridated water. County level data is not displayed for all states. Participation in sharing county level data is voluntary and state programs determine if data will be shown.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Oral Health",
              "hasEmail": "mailto:oralhealth@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "vdgb-f9s3",
          "title": "Question Inventory on Tobacco (QIT)",
          "description": "1965, 1966, 1970, 1974-2015, 2017. Centers for Disease Control and Prevention (CDC). Office on Smoking and Health (OSH). Survey Questions (Tobacco Use). The QIT is a compilation of more than 7,000 historical tobacco-related survey questions from various state, national and international surveys.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "de4p-4g3k",
          "title": "National Survey of Childrenâ€™s Health (NSCH)  –  Vision and Eye Health Surveillance",
          "description": "2016-17 merged. This dataset is a de-identified summary table of vision and eye health data indicators from the National Survye of Chilrens Health (NSCH), stratified by all available combinations of age group, race/ethnicity, sex, risk factor and state. NSCH is a telephone survey conducted by the National Center for Health Statistics at CDC (currently conducted by the U.S. Census Bureau) that examines the physical and emotional health of children 0-17 years of age. Approximate sample size is 95,000 over two rounds of data collection. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Detailed information on VEHSS NSCH analyses can be found on the VEHSS NSCH webpage (cdc.gov/visionhealth/vehss/data/national-surveys/national-survey-of-childrens-health.html). Additional information about NSCH can be found on the NSCH website (https://childhealthdata.org/learn/NSCH). The VEHSS NSCH dataset was last updated in November 2019.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Vision and Eye Health Surveillance System",
              "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "hbpe-6r8n",
          "title": "PLACES: Place Data (GIS Friendly Format), 2024 release",
          "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population estimates, and American Community Survey (ACS) 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the 2020 Census place boundary file in a GIS system to produce maps for 40 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "d3i6-k6z5",
          "title": "PLACES: County Data (GIS Friendly Format), 2024 release",
          "description": "This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2022 county population estimates, and American Community Survey (ACS) 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the census 2022 county boundary file in a GIS system to produce maps for 40 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "2snk-eav4",
          "title": "CDC STATE System Tobacco Legislation - Smokefree Indoor Air Summary",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation  –  Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in private worksites, restaurants, and bars.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "cj8b-94cj",
          "title": "PLACES: Place Data (GIS Friendly Format), 2021 release",
          "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "kucs-wizg",
          "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2017 release",
          "description": "2015, 2014. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "binw-6h77",
          "title": "Military Health System (MHS) - Vision and Eye Health Surveillance System (VEHSS)",
          "description": "The Department of Defense Health Agencyâ€™s (DHA) Vision Center of Excellence (VCE) analyzed data from the MHS MART database on behalf of the VEHSS project.  MHS MART is a data management and reporting system used to support decision-making, health care analysis, and operational reporting. MART integrates various sources within MHS to provide a centralized repository for health care data, facilitating access to information that aids in managing health care services, resources, and performance across MHS.\n\nData are based on claims and encounter records in the MHS Management Analysis and Reporting Tool (MART) database. The population includes all active-duty and retired military members and their dependents in the MHS. The sample size is approximately 9.08 million persons.\n\nThese data are also available in the VEHSS Data Explorer, an interactive data visualization tool reporting prevalence information from more than 10 data sources: https://www.cdc.gov/vision-health-data/index.html",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Vision and Eye Health Surveillance System",
              "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "y4ft-s73h",
          "title": "Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data (2010 and prior)",
          "description": "1995-2010. BRFSS land line only prevalence data. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Behavioral Risk Factor Surveillance System",
              "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "bumh-rgsq",
          "title": "Non-Medical Factor Measures for ZCTA, ACS 2017-2021",
          "description": "This dataset contains ZCTA-level non-medical factor measures from the American Community Survey 5-year data for the entire United Statesâ€”50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "8zea-kwnt",
          "title": "CDC STATE System E-Cigarette Legislation - Youth Access",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislationâ€”Youth Access. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to restrictions, enforcement and penalties associated with the sale of e-cigarettes to youth through retail sales and vending machines.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "4yyu-3s69",
          "title": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Mortality (SAM)",
          "description": "2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable mortality (SAM) is the number of deaths caused by cigarette smoking based on diseases for which the U.S. Surgeon General has determined that cigarette smoking is a causal factor.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "epbn-9bv3",
          "title": "PLACES: Local Data for Better Health, Place Data 2022 release",
          "description": "This dataset contains model-based place (incorporated and census-designated places) level estimates for the PLACES 2022 release. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at   www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "qcai-zfj9",
          "title": "NOHSS Child Indicators",
          "description": "Data for School year-end 1994 through year-end 2020.  State oral health surveys are the data sources for these indicators. States periodically conduct independent screening surveys of a probability sample designed to be representative of all third-grade students in the state. Some states also conduct surveys of students in other grades in school, or of Head Start program enrollees. This surveillance activity is voluntary. States submit their data to the Association of State and Territorial Dental Directors (ASTDD), where the survey design and data collected are reviewed for quality and against the criteria for inclusion in NOHSS, before being sent to CDC for inclusion in Oral Health Data. For more information, see: https://www.cdc.gov/oralhealthdata/overview/childIndicators/",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:oralhealth@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "kwbr-syv2",
          "title": "CDC STATE System E-Cigarette Legislation - Tax",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislationâ€”Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state excise taxes on e-cigarettes and tax stamps.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "bdsk-unrd",
          "title": "PLACES: ZCTA Data (GIS Friendly Format), 2020 release",
          "description": "This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 27 measures at the ZCTA level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "m35w-spkz",
          "title": "PLACES and 500 Cities: Data Dictionary",
          "description": "This dataset provides a data dictionary for PLACES and 500 Cities releases.  For each measure, the data dictionary provides the measure ID, measure full and short name, measure category ID and name, year of BRFSS data used to generate the estimate by release year, and frequency BRFSS collects data about the measure.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "ib3w-k9rq",
          "title": "PLACES: Census Tract Data (GIS Friendly Format), 2020 release",
          "description": "This dataset contains model-based census tract level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 27 measures at the census tract level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "piju-vf3p",
          "title": "CDC STATE System E-Cigarette Legislation - Preemption",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislationâ€”Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to statutory state preemption of more stringent local laws on advertising, smokefree indoor air, youth access and licensure.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "sd8v-uq83",
          "title": "PLACES: Local Data for Better Health, Place Data 2024 release",
          "description": "This dataset contains model-based place (incorporated and census-designated places) estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "xyst-f73f",
          "title": "PLACES: County Data (GIS Friendly Format), 2022 release",
          "description": "This dataset contains model-based county-level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2020 or 2019 county population estimates, and American Community Survey (ACS) 2016 – 2020 or 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census 2020 county boundary file in a GIS system to produce maps for 29 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "c76y-7pzg",
          "title": "PLACES: ZCTA Data (GIS Friendly Format), 2022 release",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 29 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "vurf-k5wr",
          "title": "500 Cities: Local Data for Better Health, 2017 release",
          "description": "This is the complete dataset for the 500 Cities project 2017 release. This dataset includes 2015, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2015, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2011-2015, 2010-2014 estimates. Because some questions are only asked every other year in the BRFSS, there are 7 measures from the 2014 BRFSS that are the same in the 2017 release as the previous 2016 release. More information about the methodology can be found at www.cdc.gov/500cities.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "qeru-k2y2",
          "title": "VEHSS Modeled Estimates",
          "description": "VEHSS Composite Prevalence Estimates\n2017, 2019, 2021, 2022. This dataset contains estimates of the prevalence of visual acuity loss and major eye diseases generated using a Bayesian meta-analytic modeling approach that combines information from multiple data sources to produce comprehensive estimates of prevalence by age, race, and sex at the national, state and county levels. These composite prevalence estimates are the primary surveillance measures developed by the Centers for Disease Control and Preventionâ€™s Vision & Eye Health Surveillance System (VEHSS).  \n\nFor more information about these estimates including summary tables and maps, methods, and links to related publications visit https://www.cdc.gov/visionhealth/vehss/estimates/index.html\nTo view this data in the VEHSS interactive data visualization application, visit https://ddt-vehss.cdc.gov/ and search for â€œVEHSS Composite Prevalence Estimateâ€.\n\n\nVisual Acuity Loss:\nVisual acuity loss prevalence estimates represent best-corrected visual acuity in the better-seeing eye and are included in rows where Category=â€™Measured Visual Acuityâ€™.  Rows with Subgroup = â€˜Any vision loss' represents any impairment or blindness of 20/40 or worse; rows with Subgroup = 'US-defined blindness' refers to the subset of vision loss that is 20/200 or worse.\n\n\nAge Related Macular Degeneration:\nThe age-related macular degeneration (AMD) estimates represent AMD as measured with retinal imaging examination, and are included in rows where Category = â€˜Age Related Macular Degenerationâ€™.  The Subgroup â€˜Vision threatening AMDâ€™ includes patients with geographic atrophy, wet-form AMD, or choroidal neovascularization in either eye. The Subgroup â€˜Non-vision threatening AMDâ€™ includes patients with early or intermediate dry-form AMD defined as retinal pigment epithelium abnormalities or drusen â‰¥125 Âµm in the worse-affected eye, and do not have vision threatening AMD.\n\n\nDiabetic Retinopathy:\nThe diabetic retinopathy (DR) estimates represent DR as measured with retinal imaging examination, and are included in rows where Category=â€™Diabetic Eye Diseasesâ€™.  The Subgroup â€˜Vision threatening DRâ€™ includes patients with severe non-proliferative DR, proliferative DR, and diabetic macular edema. The Subgroup â€˜Non-vision threatening DRâ€™ is defined as patients with mild-moderate non-proliferative DR or unspecified DR, and do not have vision threatening DR.\n\n\nGlaucoma:\nThe glaucoma estimates represent glaucoma as measured with retinal imaging examination and are included in rows where Category=â€™Glaucomaâ€™. The Subgroup â€˜Vision affecting glaucomaâ€™ includes people with glaucoma and abnormal visual field. The Subgroup â€˜Non-vision affecting glaucomaâ€™ is defined as people with glaucoma without an abnormal visual field.\n\n\nAge Groups:\nThe VEHSS Composite Prevalence Estimates are available by major age groups (All ages, ages 0-17, 18-39, 40-64, 65-84, 85+) and detailed (5-year) age groups, which are indicated by the text â€œby detailed age groupsâ€ in the â€˜Indicatorâ€™ field. \n\n\nPrevalence Data Type:\nThese estimates are also available as crude (Data_Value_Type = â€˜Crude Prevalenceâ€™) or adjusted data (Data_Value_Type=â€™Adjusted Prevalence).  Crude Prevalence is the estimate of the actual number and percentage of people living with each condition.  Adjusted Prevalence estimates are adjusted to match the national population by age, race/ethnicity, and sex.  Adjusted prevalence estimates can be used to help identify disparities in prevalence between geographic areas that are not explained by differences in demographic characteristics.\n\n  \nData Sources:\nData sources for VEHSS Composite Prevalence Estimates include the National Health and Nutrition Examination Survey (NHANES), the American Community Survey (ACS), the National Survey of Childrenâ€™s Health (NSCH), the Behavioral Risk Factor Surveillance System (BRFSS), Medicare Fee-For-Service claims, the Transformed Medicaid Statistical Information System, MarketScan commercial insurance claim",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Vision and Eye Health Surveillance System",
              "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "7nwe-3aj9",
          "title": "The Tax Burden on Tobacco, 1970-2019",
          "description": "1970-2019. Orzechowski and Walker. Tax Burden on Tobacco. Tax burden data was obtained from the annual compendium on tobacco revenue and industry statistics, The Tax Burden on Tobacco. Data are reported on an annual basis; Data include federal and state-level information regarding taxes applied to the price of a pack of cigarettes.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "n4v6-56e8",
          "title": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2007",
          "description": "2007. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use.  Data are reported at total and per capita funding levels. Data include recommended, upper, and lower total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "escb-scz6",
          "title": "SAMHSA Synar Reports: Youth Tobacco Sales",
          "description": "1997-2018. Substance Abuse and Mental Health Services Administration (SAMHSA). Synar Reports: Youth Tobacco Sales. Policy  –  Youth Tobacco Sales. SAMHSAâ€™s Synar Report on Youth Tobacco Sales presents findings on compliance of the Synar Amendment aimed at decreasing youth access to tobacco, and reviews progress in enforcing State youth tobacco access laws and in reducing the percentage of retailers selling tobacco products to minors.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "mb5y-ytti",
          "title": "PLACES: Census Tract Data (GIS Friendly Format), 2021 release",
          "description": "This dataset contains model-based census tract level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 29 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. \nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "hgv5-3wrn",
          "title": "CDC STATE System Tobacco Legislation - Youth Access",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislationâ€”Youth Access. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to restrictions, enforcement and penalties associated with the sale of cigarettes to youth through retail sales and vending machines.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "ndzg-9nmv",
          "title": "PLACES: Place Data (GIS Friendly Format), 2020 release",
          "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 27 measures at the place level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "4ai3-zynv",
          "title": "PLACES: Local Data for Better Health, Census Tract Data 2020 release",
          "description": "This dataset contains model-based census tract-level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "i6u4-y3g4",
          "title": "Non-Medical Factor Measures for County, ACS 2017-2021",
          "description": "This dataset contains county-level non-medical factor measures from the American Community Survey 5-year data for the entire United Statesâ€”50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "eb4y-d4ic",
          "title": "CDC STATE System Tobacco Legislation - Licensure",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislationâ€”Licensure. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to requirements, restrictions and penalties associated with holding a retail license to sell tobacco products over-the-counter and through vending machines.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "c7b2-4ecy",
          "title": "PLACES: ZCTA Data (GIS Friendly Format), 2023 release",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 36 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "e28h-tx85",
          "title": "Medicare Fee for Service (FFS) claims (100%)  –  Vision and Eye Health Surveillance",
          "description": "2014-2022. This dataset is a de-identified summary table of vision and eye health data indicators from Medicare claims, stratified by all available combinations of age group, race/ethnicity, sex, and state. Medicare claims for VEHSS includes beneficiaries who were fully enrolled in Medicare Part B Fee-for-Service (FFS) for the duration of the year. Medicare claims provide a convenience sample that includes approximately 30 million individuals annually, which represents nearly 89% of the US population aged 65 and older and 3.3% of the US population younger than 65, including persons disabled due to blindness. Medicare data for VEHSS include Service Utilization and Medical Diagnoses indicators. Data were suppressed for de-identification to ensure protection of patient privacy. Data will be updated as it becomes available. Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicare webpage (cdc.gov/visionhealth/vehss/data/claims/medicare.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicare dataset was last updated August 2025.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Vision and Eye Health Surveillance System",
              "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "d2rk-yvas",
          "title": "Behavioral Risk Factor Surveillance System (BRFSS) Age-Adjusted Prevalence Data (2011 to present)",
          "description": "2011 to present. BRFSS combined land line and cell phone age-adjusted prevalence data. The BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. \nData will be updated annually as it becomes available.\n\nDetailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). \nMethodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf \nGlossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Behavioral Risk Factor Surveillance System",
              "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "vwmz-4ja3",
          "title": "ASTDD Synopses of State Oral Health Programs - Selected indicators",
          "description": "2011-2022. The ASTDD Synopses of State Oral Health Programs contain information useful in tracking statesâ€™ efforts to improve oral health and contributions to progress toward the national targets for Healthy People objectives for oral health. A subset of the information collected from the most recent five years is provided on the Oral Health Data website. For more information, see https://www.cdc.gov/oralhealthdata/overview/synopses/index.html",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:oralhealth@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "pf7q-w24q",
          "title": "500 Cities: City-level Data (GIS Friendly Format), 2018 release",
          "description": "2016, 2015. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. There are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) in this 2018 release from the 2015 BRFSS that were the same as the 2017 release.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "88eg-qzed",
          "title": "CDC STATE System E-Cigarette Legislation - Preemption Summary",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation  –  Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to summary state preemption of more stringent or differing local laws on smokefree indoor air, youth access and licensure that are applicable to e-cigarettes.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "q8xq-ygsk",
          "title": "PLACES: Local Data for Better Health, Place Data 2020 release",
          "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates  include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "tdbk-8ubw",
          "title": "National Health and Nutrition Examination Survey (NHANES)  –  Vision and Eye Health Surveillance",
          "description": "1999-2008; 2005-2008. This dataset is a de-identified summary table of vision and eye health data indicators from NHANES, stratified by all available combinations of age group, race/ethnicity, sex, and risk factor. NHANES is a program of studies conducted by the National Center for Health Statistics at CDC designed to assess the health and nutritional status of adults and children in the U.S, and combines interviews and physical examinations. NHANES stopped collecting vision and eye health data in 2008. Approximate sample size is 5,000 persons per year. NHANES data for VEHSS includes questions and examinations related to Visual Function, Vision Exam Measures, Eye Health Conditions, Service Utilization, and Examination Measures. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Detailed information on VEHSS NHANES analyses can be found on the VEHSS NHANES webpage (https://www.cdc.gov/visionhealth/vehss/data/national-surveys/national-health-and-nutrition-examination-survey.html). Additional information about NHANES can be found on the NHANES website (https://www.cdc.gov/nchs/nhanes/index.htm). The VEHSS NHANES dataset was last updated in June 2018.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Vision and Eye Health Surveillance System",
              "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "duw2-7jbt",
          "title": "PLACES: Local Data for Better Health, County Data 2022 release",
          "description": "This dataset contains model-based county-level estimates for the PLACES 2022 release. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2020 or 2019 county population estimate data, and American Community Survey 2016 – 2020 or 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "gd4x-jyhw",
          "title": "PLACES: Local Data for Better Health, ZCTA Data 2022 release",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2022 release. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "uuui-fh3m",
          "title": "PLACES: Place Data (GIS Friendly Format), 2022 release",
          "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "s85h-9xpy",
          "title": "PLACES: Local Data for Better Health, ZCTA Data 2021 release",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities Project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "b2jx-uyck",
          "title": "US Census Annual Estimates of the Resident Population for Selected Age Groups by Sex for the United States",
          "description": "2010-2018; 2019. US Census Annual Estimates of the Resident Population for Selected Age Groups by Sex for the United States. The estimates for the 2010-2018 dataset are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. Median age is calculated based on single year of age. The estimates for 2019 are based on a one-year dataset that was published on the US Census website in 2021. For population estimates methodology statements, see https://www.census.gov/popest/methodology/index.html.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "fu4u-a9bh",
          "title": "PLACES: Local Data for Better Health, County Data 2024 release",
          "description": "This dataset contains model-based county estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2022 county population estimate data, and American Community Survey 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "qnzd-25i4",
          "title": "PLACES: Local Data for Better Health, ZCTA Data, 2025 release",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at   www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "mssc-ksj7",
          "title": "PLACES: County Data (GIS Friendly Format), 2020 release",
          "description": "This dataset contains model-based county-level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2015 county boundary file in a GIS system to produce maps for 27 measures at the county level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "edkk-ze78",
          "title": "Non-Medical Factor Measures for Place, ACS 2017-2021",
          "description": "This dataset contains place-level (incorporated and census-designated places) non-medical factor measures from the American Community Survey 5-year data for the entire United Statesâ€”50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.  \n\nTo access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "shc3-fzig",
          "title": "PLACES: Census Tract Data (GIS Friendly Format), 2022 release",
          "description": "This dataset contains model-based census tract level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 29 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "k56w-7tny",
          "title": "500 Cities: City-level Data (GIS Friendly Format), 2016 release",
          "description": "2014, 2013. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "ezab-8sq5",
          "title": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE)",
          "description": "2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable expenditures (SAEs) are excess health care expenditures attributable to cigarette smoking by type of service among adults ages 19 years of age and older.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "373s-ayzu",
          "title": "PLACES: Local Data for Better Health, Census Tract Data 2021 release",
          "description": "This dataset contains model-based census tract-level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015 – 019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "djk3-k3zs",
          "title": "500 Cities: City-level Data (GIS Friendly Format), 2017 release",
          "description": "2015, 2014. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "hj2x-85ya",
          "title": "CDC STATE System Tobacco Legislation - Preemption Summary",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation - Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to summary state preemption of more stringent or differing local laws on smokefree indoor air, youth access and licensure.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "fbbf-hgkc",
          "title": "PLACES: Local Data for Better Health, ZCTA Data 2020 release",
          "description": "This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "9umn-c3jf",
          "title": "PLACES: Local Data for Better Health, ZCTA Data 2023 release",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "yjkw-uj5s",
          "title": "PLACES: Census Tract Data (GIS Friendly Format), 2025 release",
          "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey (ACS) 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. These data can be joined with the Census tract 2023 boundary file in a GIS system to produce maps for 40 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "vgc8-iyc4",
          "title": "PLACES: Place Data (GIS Friendly Format), 2025 release",
          "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey (ACS)  2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening,  and short sleep duration) that the survey collects data on every other year. These data can be joined with the 2020 Census place boundary file in a GIS system to produce maps for 40 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "pxpe-pgrg",
          "title": "DASH - Global School-based Student Health Survey (GSHS)",
          "description": "2003-2015. Global School dataset.  The Global School-based Student Health Survey (GSHS) was developed by the World Health Organization (WHO) in collaboration with the United Nations' UNICEF, UNESCO, and UNAIDS; and with technical assistance from CDC.  The GSHS is a school-based survey conducted primarily among students aged 13-17 years in countries around the world.  It uses core questionnaire modules that address the leading causes of morbidity and mortality among children and adults worldwide: 1) Alcohol use, 2) dietary behaviors, 3) drug use, 4) hygiene, 5) mental health, 6) physical activity, 7) protective factors, 8) sexual behaviors that contribute to HIV infection, other sexually-transmitted infections, and unintended pregnancy, 9) tobacco use, and 10) violence and unintentional injury.  This dataset contains global data from 2003  –  2015.  Additional information about the GSHS can be found at https://www.cdc.gov/gshs/index.htm.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Adolescent and School Health",
              "hasEmail": "mailto:nccdDashInfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "q6p7-56au",
          "title": "DASH - Youth Risk Behavior Surveillance System (YRBSS): High School  –   Including Sexual Orientation",
          "description": "2015-2017. High School Dataset  –  Including Sexual Orientation. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors\namong youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and\nother drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human\nimmunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors\nthe prevalence of obesity and asthma and other priority health behaviors.  This dataset contains national, state, and local data from 2015 that includes two aspects of sexual orientation  –  sexual identity and sex of sexual contacts.  Additional information about the YRBSS can be found at www.cdc.gov/yrbss.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Adolescent and School Health",
              "hasEmail": "mailto:nccdDashInfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "thir-stei",
          "title": "American Community Survey (ACS)  –  Vision and Eye Health Surveillance",
          "description": "2014 - 2022 (excluding 2020). This dataset is a de-identified summary table of vision and eye health data indicators from ACS, stratified by all available combinations of age group, race/ethnicity, sex, and state. ACS is an annual nationwide survey conducted by the U.S. Census Bureau that collects information on demographic, social, economic, and housing characteristics of the U.S. population. Approximate sample size is 3 million annually. ACS data for VEHSS includes one question related to Visual Function. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Data will be updated as it becomes available. Detailed information on VEHSS ACS analyses can be found on the VEHSS ACS webpage (link). Additional information about ACS can be found on the U.S. Census Bureau website (https://www.census.gov/content/dam/Census/programs-surveys/acs/about/ACS_Information_Guide.pdf). The VEHSS ACS dataset was last updated April 2024",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Vision and Eye Health Surveillance System",
              "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "pttf-ck53",
          "title": "BRFSS Vision Module Data  –  Vision & Eye Health",
          "description": "2005-2016. This dataset includes data from the retired BRFSS Vision Module. From 2005-2011 the BRFSS employed a ten question vision module regarding vision impairment, access and utilization of eye care, and self-reported eye diseases. In 2013 and subsequently, one question in the core of BRFSS asks about vision: â€œAre you blind or do you have serious difficulty seeing, even when wearing glasses?â€ The latest data for this core question can be found in the Vision and Eye Health Surveillance System (VEHSS). VEHSS is intended to provide population estimates of vision loss function, eye diseases, health disparities, as well as barriers and facilitators to access to vision and eye care. This information can be used for designing, implementing, and evaluating vision and eye health prevention programs. To access the latest BRFSS data, (2013-2017) view the Behavioral Risk Factors  –  Vision and Eye Health Surveillance dataset (https://chronicdata.cdc.gov/Vision-Eye-Health/Behavioral-Risk-Factors-Vision-and-Eye-Health-Surv/vkwg-yswv).",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Vision and Eye Health Surveillance System",
              "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "2t2r-sf6s",
          "title": "National Health Interview Survey (NHIS)  –  Vision and Eye Health Surveillance",
          "description": "2014-15 merged, 2016-17 merged. This dataset is a de-identified summary table of vision and eye health data indicators from NHIS, stratified by all available combinations of age group, race/ethnicity, sex, and risk factor. NHIS is an annual household survey conducted by the National Center for Health Statistics at CDC that monitors trends in illness, disabilities, and progress towards national health objectives. Approximate sample size is 35,000 households and 87,500 persons annually. NHIS data for VEHSS includes questions related to Visual Function. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Data will be updated as it becomes available. Detailed information on VEHSS NHIS analyses can be found on the VEHSS NHIS webpage (link). Additional information about NHIS can be found on the NHIS website (https://www.cdc.gov/nchs/nhis/about_nhis.htm). The VEHSS NHIS dataset was last updated in November 2019.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Vision and Eye Health Surveillance System",
              "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "xx8k-iu94",
          "title": "PLACES: Place Data (GIS Friendly Format), 2023 release",
          "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbia â€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 36 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "i46a-9kgh",
          "title": "PLACES: County Data (GIS Friendly Format), 2025 release",
          "description": "This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2023 county population estimates, and American Community Survey (ACS) 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. These data can be joined with the census 2023 county boundary file in a GIS system to produce maps for 40 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "wan8-w4er",
          "title": "CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislationâ€”Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "dttw-5yxu",
          "title": "Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data (2011 to present)",
          "description": "2011 to present. BRFSS combined land line and cell phone prevalence data. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Behavioral Risk Factor Surveillance System",
              "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "vw7y-v3uk",
          "title": "University of Illinois at Chicago Health Policy Center - Funding",
          "description": "1991-2016. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  Funding Data, Appropriations (1991-2016) and Expenditures (2008-2016).  Appropriations data show public funds allocated to/by a particular state for tobacco prevention and control.  They are not necessarily expended.  Appropriations are from four major funding sources, Federal, state, Robert Wood Johnson Foundation (RWJF), and the American Legacy Foundation (Legacy).  Expenditures are amounts spent by state tobacco control programs on tobacco prevention and control.  Expenditure data are available by CDC Best Practices Program Components (State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management). Expenditures from 2008 to 2014 are compared against 2007 CDC Best Practices Recommendations; expenditures from 2015 and forward are compared against 2014 CDC Best Practices Recommendations.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "kmvs-jkvx",
          "title": "PLACES: County Data (GIS Friendly Format), 2021 release",
          "description": "This dataset contains model-based county-level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2019 or 2018 county population estimates, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2015 county boundary file in a GIS system to produce maps for 29 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "q8ig-wwk9",
          "title": "PLACES: Local Data for Better Health, Place Data 2021 release",
          "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities Project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at  www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "vm4m-idi8",
          "title": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2014",
          "description": "2014. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use.  These data update Best Practices for Comprehensive Tobacco Control Programsâ€”2007.  Data are reported at total and per capita funding levels. Data include recommended and minimum total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Mass-Reach Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Infrastructure, Administration, and Management.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "k5bc-k3g8",
          "title": "DASH - Youth Risk Behavior Surveillance System (YRBSS): Middle School",
          "description": "1991-2017. Middle School Dataset. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors \namong youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and \nother drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human \nimmunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors \nthe prevalence of obesity and asthma and other priority health behaviors.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Adolescent and School Health",
              "hasEmail": "mailto:nccdDashInfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "4r2x-hcfq",
          "title": "PLACES: Local Data for Better Health, ZCTA Data 2024 release",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related scocial needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at   www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "cwsq-ngmh",
          "title": "PLACES: Local Data for Better Health, Census Tract Data, 2025 release",
          "description": "This dataset contains model-based census tract estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "k9zj-b28y",
          "title": "PLACES: Census Tract Data (GIS Friendly Format), 2024 release",
          "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the Census tract 2022 boundary file in a GIS system to produce maps for 40 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "ffbi-is3j",
          "title": "NAAG Tobacco Settlement Payments",
          "description": "1999-2024. National Association of Attorneys General (NAAG). Policyâ€”Tobacco Settlement Payments. The National Association of Attorneys General (NAAG) provides Tobacco Settlement Revenue data for 46 states participating in the Master Settlement Agreement (MSA) with the four largest tobacco companies in the United States.  Data are reported on an annual basis.  Four states (Florida, Minnesota, Mississippi, and Texas) provide the STATE System their Tobacco Settlement Revenue data independently.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "9xb7-9z99",
          "title": "PLACES: ZCTA Data (GIS Friendly Format), 2021 release",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 29 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "qktg-6dmb",
          "title": "National Health and Aging Trends Study (NHATS)  –  Vision and Eye Health Surveillance System (VEHSS)",
          "description": "VEHSS analyzed NHATS public use data to calculate the prevalence of visual acuity and contrast sensitivity loss. Data are based on NHATS round 12, which was collected in 2022. We defined subgroup thresholds based on the VEHSS case definitions for Vision Loss and Blindness.\n\nNHATS is a health examination survey conducted on a nationally representative sample of Medicare beneficiaries aged 65 years and older. Surveys are conducted each year through in-person interviews. Vision-related tests of distance acuity, near-distance acuity, and contrast sensitivity are conducted with the aid of a computer tablet. Because participants wear their usual eyewear for vision assessments, acuity estimates are based on presenting acuity. \n\nThese data are also available in the VEHSS Data Explorer, and interactive data visualization tool reporting prevalence information from more than 10 data sources: https://www.cdc.gov/vision-health-data/index.html",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Vision and Eye Health Surveillance System",
              "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "jz6n-v26y",
          "title": "NOHSS Adult Indicators",
          "description": "2012-2020 (even years). Data from BRFSS for indicators of adult oral health for even years from 2012 through 2020. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding.  For more information, see: https://www.cdc.gov/oralhealthdata/overview/Adult-Indicators.html.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Oral Health",
              "hasEmail": "mailto:oralhealth@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "a35h-9yn4",
          "title": "Commercial Medical Insurance (MSCANCC) - Vision and Eye Health Surveillance",
          "description": "2016, 2020, 2021, 2022, 2023. This dataset is a de-identified summary table of prevalence rates for vision and eye health data indicators from the 2016 MarketScanÂ® Commercial Claims and Encounters Data (CCAE) is produced by Truven Health Analytics, a division of IBM Watson Health.  The CCEA data contain a convenience sample of insurance claims information from person with employer-sponsored insurance and their dependents, including 43.6 million person years of data. Prevalence estimates are stratified by all available combinations of age group, sex, and state.  Detailed information on VEHSS MarketScan analyses can be found on the VEHSS MarketScan webpage (cdc.gov/visionhealth/vehss/data/claims/marketscan.html). Information on available Medicare claims data can be found on the IBM MarketScan website (https://marketscan.truvenhealth.com). The VEHSS MarketScan summary dataset was last updated 2025.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Vision and Eye Health Surveillance System",
              "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "pqpp-u99h",
          "title": "PLACES: Local Data for Better Health, County Data 2021 release",
          "description": "This dataset contains model-based county-level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities Project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2019 or 2018 county population estimate data, and American Community Survey (ACS) 2015 – 2019 or 2014 – 2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "bwx3-gx66",
          "title": "Medicaid Claims (MAX) - Vision and Eye Health Surveillance",
          "description": "2016-2022. This dataset is a de-identified summary table of prevalence rates for vision and eye health data indicators from the Medicaid Analytic eXtract (MAX) data. Medicaid MAX are a set of de-identified person-level data files with information on Medicaid eligibility, service utilization, diagnoses, and payments. The MAX data contain a convenience sample of claims processed by Medicaid and Childrenâ€™s Health Insurance Program (CHIP) fee for service and managed care plans.  Not all states are included in MAX in all years, and as of November 2019, 2014 data is the latest available.  Prevalence estimates are stratified by all available combinations of age group, sex, and state.  Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicaid MAX webpage (cdc.gov/visionhealth/vehss/data/claims/medicaid.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicaid MAX dataset was last updated May 2023.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Vision and Eye Health Surveillance System",
              "hasEmail": "mailto:ddtpubsmailbox@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "rja3-32tc",
          "title": "500 Cities: Local Data for Better Health, 2018 release",
          "description": "This is the complete dataset for the 500 Cities project 2018 release. This dataset includes 2016, 2015 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2016, 2015), Census Bureau 2010 census population data, and American Community Survey (ACS) 2012-2016, 2011-2015 estimates. Because some questions are only asked every other year in the BRFSS, there are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) from the 2015 BRFSS that are the same in the 2018 release as the previous 2017 release. More information about the methodology can be found at www.cdc.gov/500cities.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "2dwv-vfam",
          "title": "CDC STATE System Tobacco Legislation - Tax",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation-Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state taxes on combustible (cigarettes, cigars, little cigars, pipe tobacco, and roll-your-own tobacco) tobacco products, non-combustible (snus, moist snuff, dry snuff, chewing tobacco) tobacco products, and tax stamps.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "em5e-5hvn",
          "title": "PLACES: Local Data for Better Health, Census Tract Data 2023 release",
          "description": "This dataset contains model-based census tract estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for seven measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "dv4u-3x3q",
          "title": "PLACES: Local Data for Better Health, County Data 2020 release",
          "description": "This dataset contains model-based county-level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United Statesâ€”50 states and the District of Columbia (DC)â€”at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "j32a-sa6u",
          "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2011 to Present)",
          "description": "2011 to present. BRFSS SMART MMSA Prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Behavioral Risk Factor Surveillance System",
              "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "svam-8dhg",
          "title": "DASH - Youth Risk Behavior Surveillance System (YRBSS): High School - Excluding Sexual Identity",
          "description": "1991-2017. High School Dataset. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors \namong youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and \nother drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human \nimmunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors \nthe prevalence of obesity and asthma and other priority health behaviors.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Adolescent and School Health",
              "hasEmail": "mailto:nccddashinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "iuq5-y9ct",
          "title": "Behavioral Risk Factor Surveillance System (BRFSS) Historical Questions",
          "description": "1984-2023.  Centers for Disease Control and Prevention (CDC). BRFSS Survey Data.  The BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death.\nDetailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss).",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Behavioral Risk Factor Surveillance System",
              "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "kee5-23sr",
          "title": "PLACES: ZCTA Data (GIS Friendly Format), 2025 release",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey (ACS) 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. These data can be joined with the Census 2020 ZCTA boundary file in a GIS system to produce maps for 40 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "at7e-uhkc",
          "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Age-adjusted Prevalence Data (2011 to Present)",
          "description": "2011 to present. BRFSS SMART MMSA age-adjusted prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary:  https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Behavioral Risk Factor Surveillance System",
              "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "i8t6-whzd",
          "title": "CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air Summary",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation  –  Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air that apply to use of e-cigarettes in private worksites, restaurants, and bars.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "yhkp-cczf",
          "title": "CDC STATE System Tobacco Legislation - Smokefree Campus",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC).  State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation  –  Smokefree Campuses. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state smokefree indoor air policies in areas such as: Smokefree campuses for private and public colleges and schools (K-12).",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "itia-u6fu",
          "title": "CDC STATE System E-Cigarette Legislation - Smokefree Campus",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System.  E-Cigarette Legislationâ€”Smokefree Campus. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state smokefree indoor air laws for smokefree campuses in private and public colleges and schools (K-12).",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "xsta-sbh5",
          "title": "CDC STATE System Tobacco Legislation - Preemption",
          "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislationâ€”Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies.  Data are reported on a quarterly basis. Data include information related to statutory state preemption of more stringent local laws on advertising, smokefree indoor air, youth access and licensure.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Smoking Health",
              "hasEmail": "mailto:nccdoshinquiries@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "6jwg-4k37",
          "title": "PLACES: ZCTA Data (GIS Friendly Format), 2024 release",
          "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population counts, and American Community Survey (ACS) 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the Census 2021 ZCTA boundary file in a GIS system to produce maps for 40 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "krqc-563j",
          "title": "PLACES: Local Data for Better Health, Place Data 2023 release",
          "description": "This dataset contains model-based place (incorporated and census-designated places) estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "ai6z-tcin",
          "title": "PLACES: Local Data for Better Health, Census Tract Data 2024 release",
          "description": "This dataset contains model-based census tract estimates. PLACES covers the entire United Statesâ€”50 states and the District of Columbiaâ€”at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "5mtz-k78d",
          "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2016 release",
          "description": "2014, 2013. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "55yu-xksw",
          "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County  –  2019-2021",
          "description": "2019 to 2021, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Heart Disease and Stroke Surveillance",
              "hasEmail": "mailto:dhdsprequests@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "g5fg-bgtw",
          "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County  –  2018-2020",
          "description": "2018 to 2020, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Heart Disease and Stroke Surveillance",
              "hasEmail": "mailto:dhdsprequests@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "6x7h-usvx",
          "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County  –  2016-2018",
          "description": "2016 to 2018, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Heart Disease and Stroke Surveillance",
              "hasEmail": "mailto:dhdsprequests@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "uc9k-vc2j",
          "title": "Rates and Trends in Hypertension-related Cardiovascular Disease Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex  –  2000-2019",
          "description": "This dataset documents rates and trends in local hypertension-related cardiovascular disease (CVD) death rates. Specifically, this report presents county (or county equivalent) estimates of hypertension-related CVD death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35 – 64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indialaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (female, male). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Heart Disease and Stroke Surveillance",
              "hasEmail": "mailto:dhdsprequests@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "s6p7-fvbw",
          "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County  –  2017-2019",
          "description": "2017 to 2019, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Heart Disease and Stroke Surveillance",
              "hasEmail": "mailto:dhdsprequests@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "ua33-yiiu",
          "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County  –  2017-2019",
          "description": "2017 to 2019, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Heart Disease and Stroke Surveillance",
              "hasEmail": "mailto:dhdsprequests@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "mfvi-hkb9",
          "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County  –  2015-2017",
          "description": "2015 to 2017, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-and-stroke-data/index.html",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Heart Disease and Stroke Surveillance",
              "hasEmail": "mailto:dhdsprequests@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "tqwu-4a7k",
          "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County  –  2016-2018",
          "description": "2016 to 2018, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Heart Disease and Stroke Surveillance",
              "hasEmail": "mailto:dhdsprequests@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "7b9s-s8ck",
          "title": "Rates and Trends in Heart Disease and Stroke Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex  –  2000-2019",
          "description": "This dataset documents rates and trends in heart disease and stroke mortality. Specifically, this report presents county (or county equivalent) estimates of heart disease and stroke death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35 – 64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indialaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (women, men). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Heart Disease and Stroke Surveillance",
              "hasEmail": "mailto:dhdsprequests@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "vutr-sfkh",
          "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County  –  2019-2021",
          "description": "2019 to 2021, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Heart Disease and Stroke Surveillance",
              "hasEmail": "mailto:dhdsprequests@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "jiwm-ppbh",
          "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County  –  2018-2020",
          "description": "2018 to 2020, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Heart Disease and Stroke Surveillance",
              "hasEmail": "mailto:dhdsprequests@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "48mw-5apu",
          "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County",
          "description": "2014 to 2016, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Heart Disease and Stroke Surveillance",
              "hasEmail": "mailto:dhdsprequests@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "v246-z5tb",
          "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County  –  2015-2017",
          "description": "2015 to 2017, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke. \nhttps://www.cdc.gov/dhdsp/maps/atlas",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Heart Disease and Stroke Surveillance",
              "hasEmail": "mailto:dhdsprequests@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "kgsi-35re",
          "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County",
          "description": "2014 to 2016, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Heart Disease and Stroke Surveillance",
              "hasEmail": "mailto:dhdsprequests@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "8hxn-cvik",
          "title": "Nutrition, Physical Activity, and Obesity - National Immunization Survey (Breastfeeding)",
          "description": "This dataset includes breastfeeding data from the National Immunization Survey (NIS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about breastfeeding and NIS visit https://www.cdc.gov/breastfeeding/data/nis_data/index.htm.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Nutrition, Physical Activity, and Obesity",
              "hasEmail": "mailto:dnpaoinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "hn4x-zwk7",
          "title": "Nutrition, Physical Activity, and Obesity - Behavioral Risk Factor Surveillance System",
          "description": "This dataset includes data on adult's diet, physical activity, and weight status from Behavioral Risk Factor Surveillance System. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Nutrition, Physical Activity, and Obesity",
              "hasEmail": "mailto:dnpaoinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "vba9-s8jp",
          "title": "Nutrition, Physical Activity, and Obesity - Youth Risk Behavior Surveillance System",
          "description": "This dataset includes data on adolescent's diet, physical activity, and weight status from Youth Risk Behavior Surveillance System (YRBSS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about YRBSS visit https://www.cdc.gov/healthyyouth/data/yrbs/index.htm.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Nutrition, Physical Activity, and Obesity",
              "hasEmail": "mailto:dnpaoinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "8mrp-rmkw",
          "title": "Nutrition, Physical Activity, and Obesity - American Community Survey",
          "description": "This dataset includes select data from the U.S. Census Bureau's American Community Survey (ACS) on the percent of adults who bike or walk to work. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about ACS visit https://www.census.gov/programs-surveys/acs/.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Nutrition, Physical Activity, and Obesity",
              "hasEmail": "mailto:dnpaoinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "735e-byxc",
          "title": "Nutrition, Physical Activity, and Obesity - Women, Infant, and Child",
          "description": "This dataset includes data on weight status for children aged 3 months to 4 years old from Women, Infant, and Children Participant and Program Characteristics (WIC-PC). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about WIC-PC visit https://www.fns.usda.gov/wic/national-survey-wic-participants.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Nutrition, Physical Activity, and Obesity",
              "hasEmail": "mailto:dnpaoinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "k8w5-7ju6",
          "title": "Nutrition, Physical Activity, and Obesity - Policy and Environmental Data",
          "description": "This dataset includes data on policy and environmental supports for physical activity, diet, and breastfeeding. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Nutrition, Physical Activity, and Obesity",
              "hasEmail": "mailto:dnpaoinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "hfr9-rurv",
          "title": "Alzheimer's Disease and Healthy Aging Data",
          "description": "2015-2022. This data set contains data from BRFSS.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Behavioral Risk Factor Surveillance System",
              "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "8hus-y5nc",
          "title": "National Community Based Survey of Supports for Healthy Eating and Active Living  (CBS HEAL)",
          "description": "Community-Based Survey of Supports for Healthy Eating and Active Living (CBS HEAL) is a CDC survey of a nationally representative sample of U.S. municipalities to better understand existing community-level policies and practices that support healthy eating and active living. The survey collects information about policies such as nutrition standards, incentives for healthy food retail, bike/pedestrian-friendly design, and Complete Streets. About 2,000 municipalities respond to the survey. Participating municipalities receive a report that allows them to compare their policies and practices with other municipalities of similar geography, population size, and urban status.\n\nThe CBS HEAL survey was first administered in 2014 and was administered again in 2021. Data is provided in multiple formats for download including as a SAS file. A methods report and a SAS program for formatting the data are also provided.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Nutrition, Physical Activity, and Obesity",
              "hasEmail": "mailto:dnpaoinfo@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "aemk-wcbf",
          "title": "NOHSS Adult Indicators - 2010 And Prior BRFSS",
          "description": "Data from BRFSS for indicators of adult oral health for 1999 and even years from 2002 through 2010. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding. For more information, see: https://www.cdc.gov/oralhealthdata/overview/Adult_Indicators.html",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Oral Health",
              "hasEmail": "mailto:oralhealth@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "k86t-wghb",
          "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2019 release",
          "description": "2017, 2016. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. There are 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "6vp6-wxuq",
          "title": "500 Cities: Local Data for Better Health, 2019 release",
          "description": "This is the complete dataset for the 500 Cities project 2019 release. This dataset includes 2017, 2016 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2017, 2016), Census Bureau 2010 census population data, and American Community Survey (ACS) 2013-2017, 2012-2016 estimates. Because some questions are only asked every other year in the BRFSS, there are 7 measures (all teeth lost, dental visits, mammograms, pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) from the 2016 BRFSS that are the same in the 2019 release as the previous 2018 release. More information about the methodology can be found at www.cdc.gov/500cities.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        },
        {
          "@type": "Dataset",
          "identifier": "dxpw-cm5u",
          "title": "500 Cities: City-level Data (GIS Friendly Format), 2019 release",
          "description": "2017, 2016. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. There are 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "PLACES: Local Data for Better Health",
              "hasEmail": "mailto:places@cdc.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "CDC Wastewater Data for Mpox",
      "identifier": "https://data.cdc.gov/api/v3/views/xpxn-rzgz/query.json",
      "description": "Socrata Open Data API providing programmatic access to the Monkeypox wastewater dataset.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NWSS",
          "hasEmail": "mailto:NWSS@cdc.gov"
        }
      ],
      "endpointURL": [
        "https://data.cdc.gov/resource/xpxn-rzgz.json"
      ],
      "endpointDescription": [
        "https://dev.socrata.com/foundry/data.cdc.gov/xpxn-rzgz"
      ],
      "keyword": [
        "Wastewater surveillance",
        "Dataset / API",
        "DIDRI",
        "Socrata API"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCEZID"
      },
      "@id": "https://data.cdc.gov/api/v3/views/xpxn-rzgz/query.json"
    },
    {
      "@type": "DataService",
      "title": "CMS Openpaymentsdata API",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://openpaymentsdata.cms.gov/api/1?authentication=false"
      ],
      "endpointDescription": [
        "openpaymentsdata.cms.gov/api/1/metastore/schemas/dataset/items?show-reference-ids"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      }
    },
    {
      "@type": "DataService",
      "title": "COVID-19-related School Closures, 2020-2022 Socrata API",
      "identifier": "https://data.cdc.gov/api/v3/views/jnru-aqxk/query.json",
      "description": "Socrata Open Data API providing programmatic access to the COVID-19-related School Closures, 2020-2022 dataset.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Nicole Zviedrite",
          "hasEmail": "mailto:nzviedrite@cdc.gov"
        }
      ],
      "endpointURL": [
        "https://data.cdc.gov/resource/jnru-aqxk.json"
      ],
      "endpointDescription": [
        "https://dev.socrata.com/foundry/data.cdc.gov/jnru-aqxk"
      ],
      "keyword": [
        "School closures and population movement",
        "Dataset / API",
        "DGMH",
        "Socrata API"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCEZID"
      },
      "@id": "https://data.cdc.gov/api/v3/views/jnru-aqxk/query.json",
      "servesDataset": [
        {
          "@type": "Dataset",
          "@id": "https://data.cdc.gov/Public-Health-Surveillance/COVID-19-related-School-Closures-USA-2020-2022/jnru-aqxk",
          "identifier": "https://data.cdc.gov/Public-Health-Surveillance/COVID-19-related-School-Closures-USA-2020-2022/jnru-aqxk",
          "title": "COVID-19-related School Closures, 2020-2022 dataset",
          "description": "Public CDC dataset / api providing data or related information for School closures and population movement.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "DGMH",
              "hasEmail": "mailto:cdcinfo@cdc.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "Clinical Drug Test Dashboard",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Penn Whitley",
          "hasEmail": "mailto:penn.whitley@millenniumhealth.com"
        }
      ],
      "endpointURL": [
        "https://millenniumhealth.com"
      ],
      "keyword": [
        "Substance use disorders",
        "drug overdose"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Millennium Health LLC"
      }
    },
    {
      "@type": "DataService",
      "title": "Covid19serology API",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://api.fda.gov/device/covid19serology"
      ],
      "endpointDescription": [
        "https://api.fda.gov/device/covid19serology.json"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      }
    },
    {
      "@type": "DataService",
      "title": "Deviceclearance API",
      "identifier": "api.fda.gov",
      "description": "device",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://api.fda.gov/device/510k"
      ],
      "endpointDescription": [
        "https://api.fda.gov/device/510k.json"
      ],
      "keyword": [
        "510k.json"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "identifier": "0014-FDA-CDRH-PB-I-202608",
          "title": "Premarket Notifications (510(k)s)",
          "description": "Medical device manufacturers are required to submit a premarket notification or 510(k) if they intend to introduce a device into commercial distribution for the first time or reintroduce a device that will be significantly changed or modified to the extent that its safety or effectiveness could be affected. This database of releasable 510(k)s can be searched by 510(k) number, applicant, device name or FDA product code.  Summaries of safety and effectiveness information is available via the web interface for more recent records. The database is updated once a week.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "FDA Governance Team",
              "hasEmail": "mailto:uig@fda.hhs.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "Deviceevent API",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://api.fda.gov/device/event"
      ],
      "endpointDescription": [
        "https://api.fda.gov/device/event.json"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "identifier": "000L-FDA-CDRH-PB-I-202608",
          "title": "Manufacturer and User Facility Device Experience (MAUDE)",
          "description": "MAUDE data represents reports of adverse events involving medical devices. The data consists of all voluntary reports since June, 1993, user facility reports since 1991, distributor reports since 1993, and manufacturer reports since August, 1996.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "FDA Governance Team",
              "hasEmail": "mailto:uig@fda.hhs.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "Devicepma API",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://api.fda.gov/device/pma"
      ],
      "endpointDescription": [
        "https://api.fda.gov/device/pma.json"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "identifier": "0012-FDA-CDRH-PB-I-202608",
          "title": "Premarket Approvals (PMA)",
          "description": "Premarket approval by FDA is the required process of scientific review to ensure the safety and effectiveness of all devices classified as Class III devices. An approved Premarket Approval Application (PMA) is, in effect, a private license granted to the applicant for marketing a particular medical device. This database may be searched by a variety of fields and is updated once a week.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "FDA Governance Team",
              "hasEmail": "mailto:uig@fda.hhs.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "Devicerecall API",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://api.fda.gov/device/recall"
      ],
      "endpointDescription": [
        "https://api.fda.gov/device/recall.json"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "identifier": "0018-FDA-CDRH-PB-I-202608",
          "title": "Recalls of Medical Devices",
          "description": "This database contains Medical Device Recalls classified since November 1, 2002. Beginning January 3, 2017, the database may also include correction or removal actions initiated by a firm prior to review by the FDA. The status of the action is updated if the FDA identifies a violation and classifies the action as a recall and again when the recall is terminated.  FDA recall classification may occur after the firm recalling the medical device product conducts and communicates with its customers about the recall and provides contact information for customers with questions.  Therefore, the recall information posting date (“create date”) indicates the date FDA classified the recall, it does not necessarily mean that the recall is new.  CBER recall information is available here.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "FDA Governance Team",
              "hasEmail": "mailto:uig@fda.hhs.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "Devicereglist API",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://api.fda.gov/device/registrationlisting"
      ],
      "endpointDescription": [
        "https://api.fda.gov/device/registrationlisting.json"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "identifier": "000R-FDA-CDRH-PB-I-202608",
          "title": "Registration & Listing",
          "description": "This searchable database contains establishments (engaged in the manufacture, preparation, propagation, compounding, assembly, or processing of medical devices intended for human use and commercial distribution) and listings of medical devices in commercial distribution by both domestic and foreign manufacturers. Generally, owners or operators of establishments that are involved in the production and distribution of medical devices intended for use in the U.S. are required to register annually with the FDA. Generally, establishments that are required to register with the FDA are also required to list the devices that are made there and the activities that are performed on those devices. If a device requires a premarket submission before being marketed in the U.S., then the owner/operator should also provide the FDA premarket submission number (510(k), De Novo, PMA, PDP, HDE). Note: This database is updated weekly.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "FDA Governance Team",
              "hasEmail": "mailto:uig@fda.hhs.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "Deviceudi API",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://api.fda.gov/device/udi?"
      ],
      "endpointDescription": [
        "https://api.fda.gov/device/udi.json?"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "identifier": "000X-FDA-CDRH-PB-I-202608",
          "title": "AccessGUDID (Global Unique Device Identification Database)",
          "description": "This database contains key device identification information submitted to the FDA about medical devices that have Unique Device Identifiers (UDI).",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "FDA Governance Team",
              "hasEmail": "mailto:uig@fda.hhs.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "Drug Overdose Surveillance and Epidemiology (DOSE) - Discharge",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Seung Hee Lee",
          "hasEmail": "mailto:xde5@cdc.gov"
        }
      ],
      "endpointURL": [
        "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/about-dose-system.html"
      ],
      "keyword": [
        "drug overdose",
        "emergency department",
        "hospitalization"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCIPC"
      }
    },
    {
      "@type": "DataService",
      "title": "Drug Overdose Surveillance and Epidemiology (DOSE) - Syndromic",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Seung Hee Lee",
          "hasEmail": "mailto:xde5@cdc.gov"
        }
      ],
      "endpointURL": [
        "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/about-dose-system.html"
      ],
      "keyword": [
        "drug overdose",
        "emergency department",
        "hospitalization"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCIPC"
      }
    },
    {
      "@type": "DataService",
      "title": "Drugevent API",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://api.fda.gov/drug/event"
      ],
      "endpointDescription": [
        "https://api.fda.gov/drug/event.json"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "identifier": "0001-FDA-CDER-PB-I-202608",
          "title": "FDA Adverse Events Reporting System (FAERS) Dataset",
          "description": "The FAERS public dashboard is a new, user-friendly and interactive web-based tool that was created to give the public the ability to query the FDA FAERS database and improve transparency. The data presented in the FAERS public dashboard has several key limitations. The existence of adverse event reports for a drug or biologic in FAERS does not mean that the drug or biologic caused the adverse event. Importantly, the FAERS data is not an indicator of the safety profile of the drug or biologic.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "FDA Governance Team",
              "hasEmail": "mailto:uig@fda.hhs.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "Druglabel API",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://api.fda.gov/drug/label"
      ],
      "endpointDescription": [
        "https://api.fda.gov/drug/label.json"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      }
    },
    {
      "@type": "DataService",
      "title": "Drugsfda API",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://api.fda.gov/drug/drugsfda"
      ],
      "endpointDescription": [
        "https://api.fda.gov/drug/drugsfda.json"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "identifier": "002W-FDA-CDER-PB-I-202608",
          "title": "Drugs@FDA",
          "description": "Includes information about drugs, including biological products, approved for human use in the United States but does not include information about FDA-approved products regulated by CBER.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "FDA Governance Team",
              "hasEmail": "mailto:uig@fda.hhs.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "FDA Data Dashboard API",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://datadashboard.fda.gov/oii/api/index.htm"
      ],
      "endpointDescription": [
        "FDA Dashboards - Data Dashboard API Usage Documentation"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "identifier": "0000-FDA-CDER-PB-I-202608",
          "title": "FDA Adverse Events Reporting System (FAERS) Dashboard Data",
          "description": "The FAERS public dashboard is a new, user-friendly and interactive web-based tool that was created to give the public the ability to query the FDA FAERS database and improve transparency. The data presented in the FAERS public dashboard has several key limitations. The existence of adverse event reports for a drug or biologic in FAERS does not mean that the drug or biologic caused the adverse event. Importantly, the FAERS data is not an indicator of the safety profile of the drug or biologic.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "FDA Governance Team",
              "hasEmail": "mailto:uig@fda.hhs.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "Foodevent API",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://api.fda.gov/food/event"
      ],
      "endpointDescription": [
        "https://api.fda.gov/food/event.json"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "identifier": "0028-FDA-CFSAN-PB-I-202608",
          "title": "Human Foods Program - Regulatory Science",
          "description": "The FDA conducts research that advances regulatory science, the science of developing tools, standards, and approaches to assess the safety, efficacy, quality, and performance of FDA-regulated products. Regulatory science facilitates evaluation or development of FDA-regulated products and supports regulatory decision-making and policy development. It also enables the FDA to understand and assess risk, prepare for, and respond to, public health emergencies, and help ensure the safety or reduce the harm of products used or consumed by patients and consumers.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "FDA Governance Team",
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      "@type": "DataService",
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      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "HHS emPOWER Support",
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      ],
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      ],
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      ],
      "keyword": [
        "at-risk populations",
        "access and functional needs",
        "durable medical equipment",
        "DME",
        "electricity-dependent medical equipment",
        "oxygen tank services",
        "oxygen services",
        "home health care services",
        "at home hospice services",
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        "facility dialysis",
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        "geospatial data"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Administration for Strategic Preparedness and Response (ASPR)"
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        {
          "@type": "Kind",
          "fn": "HDW Project Team",
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        }
      ],
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      ],
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        "Must complete registration form at https://data.hrsa.gov/tools/web-services/registration"
      ],
      "license": "https://creativecommons.org/publicdomain/zero/1.0/",
      "keyword": [
        "Health Centers",
        "Look-alikes"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Bureau of Primary Health Care (BPHC)"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
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          "title": "Health Center Service Delivery and Look–Alike Sites",
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          "contactPoint": [
            {
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              "fn": "HDW Project Team",
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        }
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      "@type": "DataService",
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        {
          "@type": "Kind",
          "fn": "NWSS",
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        "Dataset / API",
        "DIDRI",
        "Socrata API"
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        "@type": "Organization",
        "name": "NCEZID"
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      "servesDataset": [
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          "@type": "Dataset",
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          "title": "Influenza A wastewater dataset/API",
          "description": "Public CDC dataset / api providing data or related information for Wastewater surveillance.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National Wastewater Surveillance System (NWSS)",
              "hasEmail": "mailto:NWSS@cdc.gov"
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          ]
        }
      ]
    },
    {
      "@type": "DataService",
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      "description": "Socrata Open Data API providing programmatic access to the Influenza-related School Closures, 2011-2022 dataset.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Nicole Zviedrite",
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      ],
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      "keyword": [
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        "Dataset / API",
        "DGMH",
        "Socrata API"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCEZID"
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          "identifier": "https://data.cdc.gov/Public-Health-Surveillance/Influenza-related-School-Closures-USA-2011-2022/5una-zw6e",
          "title": "Influenza-related School Closures, 2011-2022 dataset",
          "description": "Public CDC dataset / api providing data or related information for School closures and population movement.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "DGMH",
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      "@type": "DataService",
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        {
          "@type": "Kind",
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      "endpointURL": [
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        "Dataset / API",
        "DIDRI",
        "Socrata API"
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        "name": "NCEZID"
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      "@id": "https://data.cdc.gov/api/v3/views/g653-rqe2/query.json",
      "servesDataset": [
        {
          "@type": "Dataset",
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          "identifier": "https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Concentration-in-Wastewater/g653-rqe2",
          "title": "Legacy SARS-CoV-2 concentration dataset",
          "description": "Public CDC dataset / api providing data or related information for Wastewater surveillance.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National Wastewater Surveillance System (NWSS)",
              "hasEmail": "mailto:NWSS@cdc.gov"
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          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "Legacy SARS-CoV-2 metric Socrata API",
      "identifier": "https://data.cdc.gov/api/v3/views/2ew6-ywp6/query.json",
      "description": "Socrata Open Data API providing programmatic access to the Legacy SARS-CoV-2 metric dataset.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NWSS",
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      ],
      "endpointURL": [
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      "endpointDescription": [
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      "keyword": [
        "Wastewater surveillance",
        "Dataset / API",
        "DIDRI",
        "Socrata API"
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        "@type": "Organization",
        "name": "NCEZID"
      },
      "@id": "https://data.cdc.gov/api/v3/views/2ew6-ywp6/query.json",
      "servesDataset": [
        {
          "@type": "Dataset",
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          "identifier": "https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6",
          "title": "Legacy SARS-CoV-2 metric dataset",
          "description": "Public CDC dataset / api providing data or related information for Wastewater surveillance.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National Wastewater Surveillance System (NWSS)",
              "hasEmail": "mailto:NWSS@cdc.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "Lyme aggregated data with geography, 1992-2007 Socrata API",
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      "description": "Socrata Open Data API providing programmatic access to the Lyme aggregated data with geography, 1992-2007 dataset.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Bacterial Diseases Branch Epidemiology & Surveillance Team",
          "hasEmail": "mailto:bdbepigroup@cdc.gov"
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      ],
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      "endpointDescription": [
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      ],
      "keyword": [
        "Lyme disease",
        "Dataset / API",
        "DVBD",
        "Socrata API"
      ],
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        "@type": "Organization",
        "name": "NCEZID"
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      "@id": "https://data.cdc.gov/api/v3/views/84rx-ksgd/query.json",
      "servesDataset": [
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          "identifier": "https://data.cdc.gov/National-Center-for-Emerging-and-Zoonotic-Infectio/Lyme-disease-public-use-aggregated-data-with-geogr/84rx-ksgd",
          "title": "Lyme aggregated data with geography, 1992-2007",
          "description": "Public CDC dataset / api providing data or related information for Lyme disease. Source inventory cadence or coverage note: 1992-2007.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Bacterial Diseases Branch",
              "hasEmail": "mailto:bdbepigroup@cdc.gov"
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          ]
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      ]
    },
    {
      "@type": "DataService",
      "title": "Lyme aggregated data with geography, 2008-2021 Socrata API",
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      "description": "Socrata Open Data API providing programmatic access to the Lyme aggregated data with geography, 2008-2021 dataset.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Bacterial Diseases Branch Epidemiology & Surveillance Team",
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      "endpointURL": [
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      "endpointDescription": [
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        "Dataset / API",
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      "servesDataset": [
        {
          "@type": "Dataset",
          "@id": "https://data.cdc.gov/d/qtbi-xd4i/visualization",
          "identifier": "https://data.cdc.gov/d/qtbi-xd4i/visualization",
          "title": "Lyme aggregated data with geography, 2008-2021",
          "description": "Public CDC dataset / api providing data or related information for Lyme disease. Source inventory cadence or coverage note: 2008-2021.",
          "contactPoint": [
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              "@type": "Kind",
              "fn": "Bacterial Diseases Branch",
              "hasEmail": "mailto:bdbepigroup@cdc.gov"
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    {
      "@type": "DataService",
      "title": "Lyme aggregated data with geography, 2022-2023Socrata API",
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      "description": "Socrata Open Data API providing programmatic access to the Lyme aggregated data with geography, 2022-current dataset.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Bacterial Diseases Branch Epidemiology & Surveillance Team",
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        "DVBD",
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      "@id": "https://data.cdc.gov/api/v3/views/x5j9-wybp/query.json"
    },
    {
      "@type": "DataService",
      "title": "Lyme line-listed data without geography, 2022-2023Socrata API",
      "identifier": "https://data.cdc.gov/api/v3/views/9mtj-y2ba/query.json",
      "description": "Socrata Open Data API providing programmatic access to the Lyme line-listed data without geography, 2022-current dataset.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Bacterial Diseases Branch Epidemiology & Surveillance Team",
          "hasEmail": "mailto:bdbepigroup@cdc.gov"
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        "Dataset / API",
        "DVBD",
        "Socrata API"
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      },
      "@id": "https://data.cdc.gov/api/v3/views/9mtj-y2ba/query.json"
    },
    {
      "@type": "DataService",
      "title": "Measles wastewater Socrata API",
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      "description": "Socrata Open Data API providing programmatic access to the Measles wastewater dataset.",
      "contactPoint": [
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          "@type": "Kind",
          "fn": "NWSS",
          "hasEmail": "mailto:NWSS@cdc.gov"
        }
      ],
      "endpointURL": [
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        "Dataset / API",
        "DIDRI",
        "Socrata API"
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        "@type": "Organization",
        "name": "NCEZID"
      },
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          "@type": "Dataset",
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          "title": "Measles wastewater dataset/API",
          "description": "Public CDC dataset / api providing data or related information for Wastewater surveillance.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National Wastewater Surveillance System (NWSS)",
              "hasEmail": "mailto:NWSS@cdc.gov"
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          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "NNDSS Weekly Data Socrata API",
      "identifier": "https://data.cdc.gov/api/v3/views/x9gk-5huc/query.json",
      "description": "Socrata Open Data API providing programmatic access to the NNDSS Weekly Data dataset.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NNDSS Team",
          "hasEmail": "mailto:NNDSSWeb@cdc.gov"
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      ],
      "endpointURL": [
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      "endpointDescription": [
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        "Nationally notifiable conditions",
        "Dataset / API",
        "Shared CDC / NCEZID-associated",
        "Socrata API"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCEZID"
      },
      "@id": "https://data.cdc.gov/api/v3/views/x9gk-5huc/query.json",
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          "identifier": "https://data.cdc.gov/NNDSS/NNDSS-Weekly-Data/x9gk-5huc",
          "title": "NNDSS Weekly Data",
          "description": "Public CDC dataset / api providing data or related information for Nationally notifiable conditions. Source inventory cadence or coverage note: Weekly provisional.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "NNDSS Team",
              "hasEmail": "mailto:nndssweb@cdc.gov"
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          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "NORS public Socrata API",
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      "description": "Socrata Open Data API providing programmatic access to the NORS public dataset.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NORS Team",
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        "Enteric and outbreak surveillance",
        "Dataset / API",
        "DFWED",
        "Socrata API"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCEZID"
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      "@id": "https://data.cdc.gov/api/v3/views/5xkq-dg7x/query.json",
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          "title": "NORS public dataset/API",
          "description": "Public outbreak dataset supporting the NORS view in BEAM.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Surveillance, Information Management ,and Statistics Office, DFWED",
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        }
      ]
    },
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      "accessRights": "public",
      "landingPage": {
        "@type": "Document",
        "title": "Life Expectancy Calculator",
        "accessURL": "https://sites.uab.edu/nscisc/life-expectancy-calculator/"
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          "title": "NSCISC De-Identified SCIMS Database — Version 2021 AR",
          "description": "De-identified data collected before September 1, 2021, including data obtained during initial hospital care (Form I; 35,675 observations, 658 variables, 1972-2021), data obtained at post-injury years 1-50 (Form II; 131,217 observations, 325 variables, 1973-2021, 29,310 persons with useful non-lost-t",
          "contactPoint": [
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              "fn": "National Spinal Cord Injury Statistical Center (NSCISC)",
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        },
        {
          "@type": "Dataset",
          "@id": "https://sites.uab.edu/nscisc/nscisc-database-public-use/#2016-ar",
          "identifier": "https://sites.uab.edu/nscisc/nscisc-database-public-use/#2016-ar",
          "title": "NSCISC De-Identified SCIMS Database — Version 2016 AR",
          "description": "De-identified data collected before October 1, 2016, including data obtained during initial hospital care (Form I; 32,159 observations, 417 variables, 1972-2016), data obtained at post-injury years 1-40 (Form II; 113,360 observations, 276 variables, 1973-2016, 26,184 persons with useful non-lost-to-",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National Spinal Cord Injury Statistical Center (NSCISC)",
              "hasEmail": "mailto:nscisc@uab.edu"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "NWSS Public SARS-CoV-2 Concentration in Wastewater Data",
      "identifier": "https://data.cdc.gov/resource/g653-rqe2.json",
      "description": "Socrata Open Data API providing programmatic access to the SARS-CoV-2 wastewater dataset.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NWSS",
          "hasEmail": "mailto:NWSS@cdc.gov"
        }
      ],
      "endpointURL": [
        "https://data.cdc.gov/resource/g653-rqe2.json"
      ],
      "endpointDescription": [
        "https://data.cdc.gov/resource/g653-rqe2.json"
      ],
      "keyword": [
        "Wastewater surveillance",
        "Dataset / API",
        "DIDRI",
        "Socrata API"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCEZID"
      },
      "@id": "https://data.cdc.gov/resource/g653-rqe2.json"
    },
    {
      "@type": "DataService",
      "title": "National Intimate Partner and Sexual Violence Survey (NISVS)",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "ICPSR Help Desk",
          "hasEmail": "mailto:ICPSR-help@umich.edu"
        }
      ],
      "endpointURL": [
        "https://www.icpsr.umich.edu/web/ICPSR/series/567"
      ],
      "keyword": [
        "intimate partner violence",
        "sexual violence",
        "stalking"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "ICPSR"
      }
    },
    {
      "@type": "DataService",
      "title": "National Violent Death Reporting System (NVDRS) Web-based Injury Statistics and Query System (WISQARS) and Restricted Access Database (RAD)",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Janet Blair",
          "hasEmail": "mailto:zud5@cdc.gov"
        }
      ],
      "endpointURL": [
        "https://www.cdc.gov/nvdrs/about/nvdrs-data-access.html"
      ],
      "keyword": [
        "homicide",
        "suicide"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCIPC"
      }
    },
    {
      "@type": "DataService",
      "title": "Ndc API",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://api.fda.gov/drug/ndc"
      ],
      "endpointDescription": [
        "https://api.fda.gov/drug/ndc.json"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "identifier": "003N-FDA-OC-NP-P-202608",
          "title": "National Drug Code (NDC) Data Resource",
          "description": "Drug Utilization: NDC Data Resource",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "FDA Governance Team",
              "hasEmail": "mailto:uig@fda.hhs.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "OMH DRIVE JSON Data Service",
      "identifier": "https://minorityhealth.hhs.gov/omh-drive/api/options",
      "description": "Public JSON service used by the OMH DRIVE dashboard to provide filter metadata, dashboard-section data, and cross-year, cross-region, and cross-population comparisons. Discovered route patterns: /omh-drive/api/section/{section}, /omh-drive/api/compare/{metric}, /omh-drive/api/compare-years, /omh-drive/api/compare-matrix, /omh-drive/api/options.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Office of Minority Health Resource Center",
          "hasEmail": "mailto:minorityhealthinfo@hhs.gov"
        }
      ],
      "endpointURL": [
        "https://minorityhealth.hhs.gov/omh-drive/api/options"
      ],
      "endpointDescription": [
        "https://minorityhealth.hhs.gov/omh-drive/user-guide"
      ],
      "keyword": [
        "OMH DRIVE",
        "Data Resources and Integrated Visualization Ecosystem",
        "American Community Survey",
        "ACS Selected Population Profile",
        "race and ethnicity",
        "population groups",
        "non-medical drivers of health",
        "socioeconomic indicators",
        "Education",
        "Economics",
        "General",
        "Housing",
        "Language",
        "Resources",
        "API",
        "JSON"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Office of Minority Health (OMH)"
      },
      "@id": "https://minorityhealth.hhs.gov/omh-drive/api/options",
      "servesDataset": [
        {
          "@type": "Dataset",
          "@id": "https://minorityhealth.hhs.gov/omh-drive",
          "identifier": "https://minorityhealth.hhs.gov/omh-drive",
          "title": "OMH Data Resources and Integrated Visualization Ecosystem Dataset",
          "description": "Processed American Community Survey Selected Population Profile data presented by the HHS Office of Minority Health Data Resources and Integrated Visualization Ecosystem (OMH DRIVE). The data support analysis of socioeconomic indicators and non-medical drivers of health across detailed race and ethnicity population groups. The current public interface covers 2023 through 2024, 52 national and state-level geography options, 94 population group options, and 48 metrics across Education, Economics, General, Housing, Language, Resources.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Office of Minority Health Resource Center",
              "hasEmail": "mailto:minorityhealthinfo@hhs.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "Othernsde API",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://api.fda.gov/other/nsde"
      ],
      "endpointDescription": [
        "https://api.fda.gov/other/nsde.json"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "identifier": "003N-FDA-OC-NP-P-202608",
          "title": "National Drug Code (NDC) Data Resource",
          "description": "Drug Utilization: NDC Data Resource",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "FDA Governance Team",
              "hasEmail": "mailto:uig@fda.hhs.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "RSV wastewater Socrata API",
      "identifier": "https://data.cdc.gov/api/v3/views/45cq-cw4i/query.json",
      "description": "Socrata Open Data API providing programmatic access to the RSV wastewater dataset.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NWSS",
          "hasEmail": "mailto:NWSS@cdc.gov"
        }
      ],
      "endpointURL": [
        "https://data.cdc.gov/resource/45cq-cw4i.json"
      ],
      "endpointDescription": [
        "https://dev.socrata.com/foundry/data.cdc.gov/45cq-cw4i"
      ],
      "keyword": [
        "Wastewater surveillance",
        "Dataset / API",
        "DIDRI",
        "Socrata API"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCEZID"
      },
      "@id": "https://data.cdc.gov/api/v3/views/45cq-cw4i/query.json",
      "servesDataset": [
        {
          "@type": "Dataset",
          "@id": "https://data.cdc.gov/Public-Health-Surveillance/CDC-Wastewater-Data-for-RSV/45cq-cw4i",
          "identifier": "https://data.cdc.gov/Public-Health-Surveillance/CDC-Wastewater-Data-for-RSV/45cq-cw4i",
          "title": "RSV wastewater dataset/API",
          "description": "Public CDC dataset / api providing data or related information for Wastewater surveillance.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "National Wastewater Surveillance System (NWSS)",
              "hasEmail": "mailto:NWSS@cdc.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "Recall API",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://api.fda.gov/device/recall"
      ],
      "endpointDescription": [
        "https://api.fda.gov/device/recall.json"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      }
    },
    {
      "@type": "DataService",
      "title": "Ryan White HIV/AIDS Medical Care Provider Data",
      "description": "Web services provide a standardized way of integrating web-based applications using Extensible Markup Language (XML), Simple Object Access Protocol (SOAP), and Web Services Description Language (WSDL) to Ryan White Data",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Shelita Mechant",
          "hasEmail": "mailto:SMerchant1@hrsa.gov"
        }
      ],
      "endpointURL": [
        "https://data.hrsa.gov/tools/web-services/registration"
      ],
      "endpointDescription": [
        "Must complete registration form at https://data.hrsa.gov/tools/web-services/registration"
      ],
      "license": "https://creativecommons.org/publicdomain/zero/1.0/",
      "keyword": [
        "Ryan White",
        "HIV providers"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "HIV/AIDS Bureau (HAB)"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "identifier": "HRSA-HAB-4",
          "title": "Ryan White HIV/AIDS Program",
          "description": "This entity represents the data dictionary for the Ryan White HIV/AIDS Recipients and Sub-Recipients data mart. This dataset lists the recipients and sub-recipients of Ryan White HIV/AIDS Program (RWHAP) funding and medical providers within the RWHAP who currently provide medical services for low-income people living with HIV (PLWH). The RWHAP provides a comprehensive system of HIV primary medical care, medications, and essential support services to low-income people living with HIV (PLWH). The Program funds grants to cities/counties, states, and local community-based organizations to provide HIV care and treatment services to more than half a million people each year.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Shelita Mechant",
              "hasEmail": "mailto:SMerchant1@hrsa.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "State Unintentional Drug Overdose Reporting System (SUDORS)",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Julie O'Donnell",
          "hasEmail": "mailto:irh8@cdc.gov"
        }
      ],
      "endpointURL": [
        "https://www.cdc.gov/overdose-prevention/data-research/facts-stats/about-sudors.html"
      ],
      "keyword": [
        "toxicology",
        "death scene investigation",
        "death certificate",
        "overdose death"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCIPC"
      }
    },
    {
      "@type": "DataService",
      "title": "Substancedata API",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://api.fda.gov/other/substance"
      ],
      "endpointDescription": [
        "https://api.fda.gov/other/substance.json"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      }
    },
    {
      "@type": "DataService",
      "title": "Tobaccoproblem API",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "open FDA",
          "hasEmail": "mailto:open@fda.hhs.gov"
        }
      ],
      "endpointURL": [
        "https://api.fda.gov/tobacco/problem"
      ],
      "endpointDescription": [
        "https://api.fda.gov/tobacco/problem.json"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "FDA"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "identifier": "002K-FDA-CTP-PB-I-202608",
          "title": "Center for Tobacco Products - Strategic Priority I: Public Education",
          "description": "Every day, CTP takes action to protect American families, charting a new course for comprehensive change. CTPs Public Education key priority area include educating at risk audiences on dangers and utilizing the tools given by Congress to maximize potential and positively impact public health.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "FDA Governance Team",
              "hasEmail": "mailto:uig@fda.hhs.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "Toxicology Investigators Consortium (ToxIC) Registry data",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "Mari Costantini",
          "hasEmail": "mailto:Mari.Costantini@acmt.net"
        }
      ],
      "endpointURL": [
        "https://www.acmt.net/ToxIC/"
      ],
      "keyword": [
        "Substance use disorders",
        "drug overdose"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "Toxicology Investigators Consortium (ToxIC)"
      }
    },
    {
      "@type": "DataService",
      "title": "V-safe COVID-19 Pandemic Socrata API",
      "identifier": "None",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "V-Safe Tech Support",
          "hasEmail": "mailto:vsafetechsupport@cdc.gov"
        }
      ],
      "endpointURL": [
        "https://None"
      ],
      "endpointDescription": [
        "None"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCEZID"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "@id": "https://data.cdc.gov/Public-Health-Surveillance/V-safe-COVID-19-Pandemic/dqgu-gg5d",
          "identifier": "https://data.cdc.gov/Public-Health-Surveillance/V-safe-COVID-19-Pandemic/dqgu-gg5d",
          "title": "V-safe COVID-19 Pandemic dataset",
          "description": "Public CDC dataset / api providing data or related information for Vaccine safety.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "V-Safe Tech Support",
              "hasEmail": "mailto:vsafetechsupport@cdc.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "V-safe RSV for Adults Socrata API",
      "identifier": "None",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "V-Safe Tech Support",
          "hasEmail": "mailto:vsafetechsupport@cdc.gov"
        }
      ],
      "endpointURL": [
        "https://None"
      ],
      "endpointDescription": [
        "None"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCEZID"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "@id": "https://data.cdc.gov/National-Center-for-Emerging-and-Zoonotic-Infectio/V-safe-RSV-for-Adults/d93e-ghgr",
          "identifier": "https://data.cdc.gov/National-Center-for-Emerging-and-Zoonotic-Infectio/V-safe-RSV-for-Adults/d93e-ghgr",
          "title": "V-safe RSV for Adults dataset",
          "description": "Public CDC dataset / api providing data or related information for Vaccine safety.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "V-Safe Tech Support",
              "hasEmail": "mailto:vsafetechsupport@cdc.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "V-safe RSV for Pregnant Women Socrata API",
      "identifier": "None",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "V-Safe Tech Support",
          "hasEmail": "mailto:vsafetechsupport@cdc.gov"
        }
      ],
      "endpointURL": [
        "https://None"
      ],
      "endpointDescription": [
        "None"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCEZID"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "@id": "https://data.cdc.gov/National-Center-for-Emerging-and-Zoonotic-Infectio/V-safe-RSV-for-Pregnant-Women/ppbu-i872",
          "identifier": "https://data.cdc.gov/National-Center-for-Emerging-and-Zoonotic-Infectio/V-safe-RSV-for-Pregnant-Women/ppbu-i872",
          "title": "V-safe RSV for Pregnant Women dataset",
          "description": "Public CDC dataset / api providing data or related information for Vaccine safety.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "V-Safe Tech Support",
              "hasEmail": "mailto:vsafetechsupport@cdc.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "V-safe Registration Socrata API",
      "identifier": "None",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "V-Safe Tech Support",
          "hasEmail": "mailto:vsafetechsupport@cdc.gov"
        }
      ],
      "endpointURL": [
        "https://None"
      ],
      "endpointDescription": [
        "None"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCEZID"
      },
      "servesDataset": [
        {
          "@type": "Dataset",
          "@id": "https://data.cdc.gov/National-Center-for-Emerging-and-Zoonotic-Infectio/V-safe-Registration/ptfs-mnuh",
          "identifier": "https://data.cdc.gov/National-Center-for-Emerging-and-Zoonotic-Infectio/V-safe-Registration/ptfs-mnuh",
          "title": "V-safe Registration dataset",
          "description": "Public CDC dataset / api providing data or related information for Vaccine safety.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "V-Safe Tech Support",
              "hasEmail": "mailto:vsafetechsupport@cdc.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "Weekly Hospital Respiratory Admission Levels and Rates Socrata API",
      "identifier": "https://data.cdc.gov/api/v3/views/vdzy-6i9v/query.json",
      "description": "Socrata Open Data API providing programmatic access to the Weekly Hospital Respiratory Admission Levels and Rates dataset.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NHSN Help Desk",
          "hasEmail": "mailto:NHSN@cdc.gov"
        }
      ],
      "endpointURL": [
        "https://data.cdc.gov/resource/vdzy-6i9v.json"
      ],
      "endpointDescription": [
        "https://dev.socrata.com/foundry/data.cdc.gov/vdzy-6i9v"
      ],
      "keyword": [
        "Hospital respiratory data",
        "Dataset / API",
        "DHQP",
        "Socrata API"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCEZID"
      },
      "@id": "https://data.cdc.gov/api/v3/views/vdzy-6i9v/query.json",
      "servesDataset": [
        {
          "@type": "Dataset",
          "@id": "https://data.cdc.gov/Public-Health-Surveillance/Weekly-Hospital-Respiratory-Admission-Levels-and-R/vdzy-6i9v",
          "identifier": "https://data.cdc.gov/Public-Health-Surveillance/Weekly-Hospital-Respiratory-Admission-Levels-and-R/vdzy-6i9v",
          "title": "Weekly Hospital Respiratory Admission Levels and Rates dataset",
          "description": "Public CDC dataset / api providing data or related information for Hospital respiratory data.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Surveillance Branch, DHQP",
              "hasEmail": "mailto:nhsn@cdc.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "Weekly Hospital Respiratory Data Metrics - Current Socrata API",
      "identifier": "https://data.cdc.gov/api/v3/views/ua7e-t2fy/query.json",
      "description": "Socrata Open Data API providing programmatic access to the Weekly Hospital Respiratory Data Metrics - Current dataset.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NHSN Help Desk",
          "hasEmail": "mailto:NHSN@cdc.gov"
        }
      ],
      "endpointURL": [
        "https://data.cdc.gov/resource/ua7e-t2fy.json"
      ],
      "endpointDescription": [
        "https://dev.socrata.com/foundry/data.cdc.gov/ua7e-t2fy"
      ],
      "keyword": [
        "Hospital respiratory data",
        "Dataset / API",
        "DHQP",
        "Socrata API"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCEZID"
      },
      "@id": "https://data.cdc.gov/api/v3/views/ua7e-t2fy/query.json",
      "servesDataset": [
        {
          "@type": "Dataset",
          "@id": "https://data.cdc.gov/Public-Health-Surveillance/Weekly-Hospital-Respiratory-Data-HRD-Metrics-by-Ju/ua7e-t2fy",
          "identifier": "https://data.cdc.gov/Public-Health-Surveillance/Weekly-Hospital-Respiratory-Data-HRD-Metrics-by-Ju/ua7e-t2fy",
          "title": "Weekly Hospital Respiratory Data Metrics - Current",
          "description": "Public CDC dataset / api providing data or related information for Hospital respiratory data.",
          "contactPoint": [
            {
              "@type": "Kind",
              "fn": "Surveillance Branch, DHQP",
              "hasEmail": "mailto:nhsn@cdc.gov"
            }
          ]
        }
      ]
    },
    {
      "@type": "DataService",
      "title": "Weekly Hospital Respiratory Data Metrics - Historical Socrata API",
      "identifier": "https://data.cdc.gov/api/v3/views/rhwp-grxi/query.json",
      "description": "Socrata Open Data API providing programmatic access to the Weekly Hospital Respiratory Data Metrics - Historical dataset.",
      "contactPoint": [
        {
          "@type": "Kind",
          "fn": "NHSN Help Desk",
          "hasEmail": "mailto:NHSN@cdc.gov"
        }
      ],
      "endpointURL": [
        "https://data.cdc.gov/resource/rhwp-grxi.json"
      ],
      "endpointDescription": [
        "https://dev.socrata.com/foundry/data.cdc.gov/rhwp-grxi"
      ],
      "keyword": [
        "Hospital respiratory data",
        "Dataset / API",
        "DHQP",
        "Socrata API"
      ],
      "publisher": {
        "@type": "Organization",
        "name": "NCEZID"
      },
      "@id": "https://data.cdc.gov/api/v3/views/rhwp-grxi/query.json",
      "servesDataset": [
        {
          "@type": "Dataset",
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}
